diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..45e02a5487780bede5075783d8d146b3ad6eea1f
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,177 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+# Usually these files are written by a python script from a template
+# before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+# For a library or package, you might want to ignore these files since the code is
+# intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+# However, in case of collaboration, if having platform-specific dependencies or dependencies
+# having no cross-platform support, pipenv may install dependencies that don't work, or not
+# install all needed dependencies.
+#Pipfile.lock
+
+# UV
+# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+# This is especially recommended for binary packages to ensure reproducibility, and is more
+# commonly ignored for libraries.
+#uv.lock
+
+# poetry
+# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+# This is especially recommended for binary packages to ensure reproducibility, and is more
+# commonly ignored for libraries.
+# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+# in version control.
+# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+# and can be added to the global gitignore or merged into this file. For a more nuclear
+# option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+.vscode
+XPs/**
\ No newline at end of file
diff --git a/Analysis/Section_7.1.ipynb b/Analysis/Section_7.1.ipynb
index 13ba02dded5435f9e1a5ffcd388d993f9748f67b..86ff88eca9ba584eb6b6f75b9d5c395c6062541b 100644
--- a/Analysis/Section_7.1.ipynb
+++ b/Analysis/Section_7.1.ipynb
@@ -13,6 +13,8 @@
"metadata": {},
"outputs": [],
"source": [
+ "import sys\n",
+ "sys.path.append(\"../\")\n",
"from GenerateVisualisation.experiments_analysis import Analysis, Analysis_plots"
]
},
@@ -24,7 +26,7 @@
"source": [
"analysis_list = []\n",
"\n",
- "base_folder = \"XPs/1_bell/\"\n",
+ "base_folder = \"../XPs/1_bell/\"\n",
"seeds = range(3, 103)\n",
"analysis = Analysis(base_folder=base_folder,\n",
" files=[\"/simple_aggre_0_\"],\n",
@@ -38,7 +40,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -52,77 +54,77 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_f6258 td {\n",
+ "#T_94ab4 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f6258 th {\n",
+ "#T_94ab4 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
"</style>\n",
- "<table id=\"T_f6258\">\n",
+ "<table id=\"T_94ab4\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_f6258_level0_col0\" class=\"col_heading level0 col0\" >Value</th>\n",
- " <th id=\"T_f6258_level0_col1\" class=\"col_heading level0 col1\" >std</th>\n",
- " <th id=\"T_f6258_level0_col2\" class=\"col_heading level0 col2\" >Min</th>\n",
- " <th id=\"T_f6258_level0_col3\" class=\"col_heading level0 col3\" >Max</th>\n",
+ " <th id=\"T_94ab4_level0_col0\" class=\"col_heading level0 col0\" >Value</th>\n",
+ " <th id=\"T_94ab4_level0_col1\" class=\"col_heading level0 col1\" >std</th>\n",
+ " <th id=\"T_94ab4_level0_col2\" class=\"col_heading level0 col2\" >Min</th>\n",
+ " <th id=\"T_94ab4_level0_col3\" class=\"col_heading level0 col3\" >Max</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_f6258_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">Large</th>\n",
- " <th id=\"T_f6258_level1_row0\" class=\"row_heading level1 row0\" >MILP</th>\n",
- " <td id=\"T_f6258_row0_col0\" class=\"data row0 col0\" >295.15</td>\n",
- " <td id=\"T_f6258_row0_col1\" class=\"data row0 col1\" >209.85</td>\n",
- " <td id=\"T_f6258_row0_col2\" class=\"data row0 col2\" >141.71</td>\n",
- " <td id=\"T_f6258_row0_col3\" class=\"data row0 col3\" >1883.51</td>\n",
+ " <th id=\"T_94ab4_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">Large</th>\n",
+ " <th id=\"T_94ab4_level1_row0\" class=\"row_heading level1 row0\" >MILP</th>\n",
+ " <td id=\"T_94ab4_row0_col0\" class=\"data row0 col0\" >295.15</td>\n",
+ " <td id=\"T_94ab4_row0_col1\" class=\"data row0 col1\" >209.85</td>\n",
+ " <td id=\"T_94ab4_row0_col2\" class=\"data row0 col2\" >141.71</td>\n",
+ " <td id=\"T_94ab4_row0_col3\" class=\"data row0 col3\" >1883.51</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f6258_level1_row1\" class=\"row_heading level1 row1\" >Heuristic</th>\n",
- " <td id=\"T_f6258_row1_col0\" class=\"data row1 col0\" >0.19</td>\n",
- " <td id=\"T_f6258_row1_col1\" class=\"data row1 col1\" >0.01</td>\n",
- " <td id=\"T_f6258_row1_col2\" class=\"data row1 col2\" >0.17</td>\n",
- " <td id=\"T_f6258_row1_col3\" class=\"data row1 col3\" >0.23</td>\n",
+ " <th id=\"T_94ab4_level1_row1\" class=\"row_heading level1 row1\" >Heuristic</th>\n",
+ " <td id=\"T_94ab4_row1_col0\" class=\"data row1 col0\" >0.19</td>\n",
+ " <td id=\"T_94ab4_row1_col1\" class=\"data row1 col1\" >0.01</td>\n",
+ " <td id=\"T_94ab4_row1_col2\" class=\"data row1 col2\" >0.17</td>\n",
+ " <td id=\"T_94ab4_row1_col3\" class=\"data row1 col3\" >0.23</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f6258_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">Medium</th>\n",
- " <th id=\"T_f6258_level1_row2\" class=\"row_heading level1 row2\" >MILP</th>\n",
- " <td id=\"T_f6258_row2_col0\" class=\"data row2 col0\" >111.34</td>\n",
- " <td id=\"T_f6258_row2_col1\" class=\"data row2 col1\" >25.86</td>\n",
- " <td id=\"T_f6258_row2_col2\" class=\"data row2 col2\" >71.44</td>\n",
- " <td id=\"T_f6258_row2_col3\" class=\"data row2 col3\" >202.03</td>\n",
+ " <th id=\"T_94ab4_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">Medium</th>\n",
+ " <th id=\"T_94ab4_level1_row2\" class=\"row_heading level1 row2\" >MILP</th>\n",
+ " <td id=\"T_94ab4_row2_col0\" class=\"data row2 col0\" >111.34</td>\n",
+ " <td id=\"T_94ab4_row2_col1\" class=\"data row2 col1\" >25.86</td>\n",
+ " <td id=\"T_94ab4_row2_col2\" class=\"data row2 col2\" >71.44</td>\n",
+ " <td id=\"T_94ab4_row2_col3\" class=\"data row2 col3\" >202.03</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f6258_level1_row3\" class=\"row_heading level1 row3\" >Heuristic</th>\n",
- " <td id=\"T_f6258_row3_col0\" class=\"data row3 col0\" >0.12</td>\n",
- " <td id=\"T_f6258_row3_col1\" class=\"data row3 col1\" >0.01</td>\n",
- " <td id=\"T_f6258_row3_col2\" class=\"data row3 col2\" >0.10</td>\n",
- " <td id=\"T_f6258_row3_col3\" class=\"data row3 col3\" >0.14</td>\n",
+ " <th id=\"T_94ab4_level1_row3\" class=\"row_heading level1 row3\" >Heuristic</th>\n",
+ " <td id=\"T_94ab4_row3_col0\" class=\"data row3 col0\" >0.12</td>\n",
+ " <td id=\"T_94ab4_row3_col1\" class=\"data row3 col1\" >0.01</td>\n",
+ " <td id=\"T_94ab4_row3_col2\" class=\"data row3 col2\" >0.10</td>\n",
+ " <td id=\"T_94ab4_row3_col3\" class=\"data row3 col3\" >0.14</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f6258_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"2\">Small</th>\n",
- " <th id=\"T_f6258_level1_row4\" class=\"row_heading level1 row4\" >MILP</th>\n",
- " <td id=\"T_f6258_row4_col0\" class=\"data row4 col0\" >36.35</td>\n",
- " <td id=\"T_f6258_row4_col1\" class=\"data row4 col1\" >5.82</td>\n",
- " <td id=\"T_f6258_row4_col2\" class=\"data row4 col2\" >28.71</td>\n",
- " <td id=\"T_f6258_row4_col3\" class=\"data row4 col3\" >61.69</td>\n",
+ " <th id=\"T_94ab4_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"2\">Small</th>\n",
+ " <th id=\"T_94ab4_level1_row4\" class=\"row_heading level1 row4\" >MILP</th>\n",
+ " <td id=\"T_94ab4_row4_col0\" class=\"data row4 col0\" >36.35</td>\n",
+ " <td id=\"T_94ab4_row4_col1\" class=\"data row4 col1\" >5.82</td>\n",
+ " <td id=\"T_94ab4_row4_col2\" class=\"data row4 col2\" >28.71</td>\n",
+ " <td id=\"T_94ab4_row4_col3\" class=\"data row4 col3\" >61.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_f6258_level1_row5\" class=\"row_heading level1 row5\" >Heuristic</th>\n",
- " <td id=\"T_f6258_row5_col0\" class=\"data row5 col0\" >0.06</td>\n",
- " <td id=\"T_f6258_row5_col1\" class=\"data row5 col1\" >0.01</td>\n",
- " <td id=\"T_f6258_row5_col2\" class=\"data row5 col2\" >0.05</td>\n",
- " <td id=\"T_f6258_row5_col3\" class=\"data row5 col3\" >0.08</td>\n",
+ " <th id=\"T_94ab4_level1_row5\" class=\"row_heading level1 row5\" >Heuristic</th>\n",
+ " <td id=\"T_94ab4_row5_col0\" class=\"data row5 col0\" >0.06</td>\n",
+ " <td id=\"T_94ab4_row5_col1\" class=\"data row5 col1\" >0.01</td>\n",
+ " <td id=\"T_94ab4_row5_col2\" class=\"data row5 col2\" >0.05</td>\n",
+ " <td id=\"T_94ab4_row5_col3\" class=\"data row5 col3\" >0.08</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x722fcde85190>"
+ "<pandas.io.formats.style.Styler at 0x799c93654f10>"
]
},
"metadata": {},
@@ -139,52 +141,52 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_fff01 td {\n",
+ "#T_ffb4c td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_fff01 th {\n",
+ "#T_ffb4c th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
"</style>\n",
- "<table id=\"T_fff01\">\n",
+ "<table id=\"T_ffb4c\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_fff01_level0_col0\" class=\"col_heading level0 col0\" >Value</th>\n",
- " <th id=\"T_fff01_level0_col1\" class=\"col_heading level0 col1\" >std</th>\n",
- " <th id=\"T_fff01_level0_col2\" class=\"col_heading level0 col2\" >Min</th>\n",
- " <th id=\"T_fff01_level0_col3\" class=\"col_heading level0 col3\" >Max</th>\n",
+ " <th id=\"T_ffb4c_level0_col0\" class=\"col_heading level0 col0\" >Value</th>\n",
+ " <th id=\"T_ffb4c_level0_col1\" class=\"col_heading level0 col1\" >std</th>\n",
+ " <th id=\"T_ffb4c_level0_col2\" class=\"col_heading level0 col2\" >Min</th>\n",
+ " <th id=\"T_ffb4c_level0_col3\" class=\"col_heading level0 col3\" >Max</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_fff01_level0_row0\" class=\"row_heading level0 row0\" >Large</th>\n",
- " <td id=\"T_fff01_row0_col0\" class=\"data row0 col0\" >46.79</td>\n",
- " <td id=\"T_fff01_row0_col1\" class=\"data row0 col1\" >1.61</td>\n",
- " <td id=\"T_fff01_row0_col2\" class=\"data row0 col2\" >42.31</td>\n",
- " <td id=\"T_fff01_row0_col3\" class=\"data row0 col3\" >50.27</td>\n",
+ " <th id=\"T_ffb4c_level0_row0\" class=\"row_heading level0 row0\" >Large</th>\n",
+ " <td id=\"T_ffb4c_row0_col0\" class=\"data row0 col0\" >46.79</td>\n",
+ " <td id=\"T_ffb4c_row0_col1\" class=\"data row0 col1\" >1.61</td>\n",
+ " <td id=\"T_ffb4c_row0_col2\" class=\"data row0 col2\" >42.31</td>\n",
+ " <td id=\"T_ffb4c_row0_col3\" class=\"data row0 col3\" >50.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fff01_level0_row1\" class=\"row_heading level0 row1\" >Medium</th>\n",
- " <td id=\"T_fff01_row1_col0\" class=\"data row1 col0\" >45.11</td>\n",
- " <td id=\"T_fff01_row1_col1\" class=\"data row1 col1\" >1.52</td>\n",
- " <td id=\"T_fff01_row1_col2\" class=\"data row1 col2\" >42.25</td>\n",
- " <td id=\"T_fff01_row1_col3\" class=\"data row1 col3\" >48.47</td>\n",
+ " <th id=\"T_ffb4c_level0_row1\" class=\"row_heading level0 row1\" >Medium</th>\n",
+ " <td id=\"T_ffb4c_row1_col0\" class=\"data row1 col0\" >45.11</td>\n",
+ " <td id=\"T_ffb4c_row1_col1\" class=\"data row1 col1\" >1.52</td>\n",
+ " <td id=\"T_ffb4c_row1_col2\" class=\"data row1 col2\" >42.25</td>\n",
+ " <td id=\"T_ffb4c_row1_col3\" class=\"data row1 col3\" >48.47</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fff01_level0_row2\" class=\"row_heading level0 row2\" >Small</th>\n",
- " <td id=\"T_fff01_row2_col0\" class=\"data row2 col0\" >43.35</td>\n",
- " <td id=\"T_fff01_row2_col1\" class=\"data row2 col1\" >1.90</td>\n",
- " <td id=\"T_fff01_row2_col2\" class=\"data row2 col2\" >38.58</td>\n",
- " <td id=\"T_fff01_row2_col3\" class=\"data row2 col3\" >47.60</td>\n",
+ " <th id=\"T_ffb4c_level0_row2\" class=\"row_heading level0 row2\" >Small</th>\n",
+ " <td id=\"T_ffb4c_row2_col0\" class=\"data row2 col0\" >43.35</td>\n",
+ " <td id=\"T_ffb4c_row2_col1\" class=\"data row2 col1\" >1.90</td>\n",
+ " <td id=\"T_ffb4c_row2_col2\" class=\"data row2 col2\" >38.58</td>\n",
+ " <td id=\"T_ffb4c_row2_col3\" class=\"data row2 col3\" >47.60</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x722fcdc0e4d0>"
+ "<pandas.io.formats.style.Styler at 0x799c90f8b3d0>"
]
},
"metadata": {},
diff --git a/Analysis/Section_7.2.ipynb b/Analysis/Section_7.2.ipynb
index 2b3f0fa5f3c6d536e8e651e88e65fb288617aa63..058c6cc8382d13630faa4d4fc880380c1a949ac1 100644
--- a/Analysis/Section_7.2.ipynb
+++ b/Analysis/Section_7.2.ipynb
@@ -13,7 +13,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -24,7 +24,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -69,9 +69,607 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_7318c td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7318c th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7318c_row3_col4, #T_7318c_row5_col8, #T_7318c_row6_col0, #T_7318c_row6_col2, #T_7318c_row6_col6, #T_7318c_row6_col10, #T_7318c_row6_col12, #T_7318c_row6_col14 {\n",
+ " background-color: #34FF34;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_7318c\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_7318c_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_7318c_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_7318c_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_7318c_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_7318c_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_7318c_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_7318c_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_7318c_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_7318c_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_7318c_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_7318c_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_7318c_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_7318c_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_7318c_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_7318c_row0_col0\" class=\"data row0 col0\" >71.96</td>\n",
+ " <td id=\"T_7318c_row0_col1\" class=\"data row0 col1\" >3.39</td>\n",
+ " <td id=\"T_7318c_row0_col2\" class=\"data row0 col2\" >65.09</td>\n",
+ " <td id=\"T_7318c_row0_col3\" class=\"data row0 col3\" >3.86</td>\n",
+ " <td id=\"T_7318c_row0_col4\" class=\"data row0 col4\" >95.29</td>\n",
+ " <td id=\"T_7318c_row0_col5\" class=\"data row0 col5\" >1.55</td>\n",
+ " <td id=\"T_7318c_row0_col6\" class=\"data row0 col6\" >96.65</td>\n",
+ " <td id=\"T_7318c_row0_col7\" class=\"data row0 col7\" >2.04</td>\n",
+ " <td id=\"T_7318c_row0_col8\" class=\"data row0 col8\" >1.44</td>\n",
+ " <td id=\"T_7318c_row0_col9\" class=\"data row0 col9\" >0.07</td>\n",
+ " <td id=\"T_7318c_row0_col10\" class=\"data row0 col10\" >95.86</td>\n",
+ " <td id=\"T_7318c_row0_col11\" class=\"data row0 col11\" >5.36</td>\n",
+ " <td id=\"T_7318c_row0_col12\" class=\"data row0 col12\" >31.65</td>\n",
+ " <td id=\"T_7318c_row0_col13\" class=\"data row0 col13\" >4.29</td>\n",
+ " <td id=\"T_7318c_row0_col14\" class=\"data row0 col14\" >1.73</td>\n",
+ " <td id=\"T_7318c_row0_col15\" class=\"data row0 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_7318c_row1_col0\" class=\"data row1 col0\" >69.88</td>\n",
+ " <td id=\"T_7318c_row1_col1\" class=\"data row1 col1\" >3.88</td>\n",
+ " <td id=\"T_7318c_row1_col2\" class=\"data row1 col2\" >56.20</td>\n",
+ " <td id=\"T_7318c_row1_col3\" class=\"data row1 col3\" >4.28</td>\n",
+ " <td id=\"T_7318c_row1_col4\" class=\"data row1 col4\" >93.53</td>\n",
+ " <td id=\"T_7318c_row1_col5\" class=\"data row1 col5\" >2.07</td>\n",
+ " <td id=\"T_7318c_row1_col6\" class=\"data row1 col6\" >95.17</td>\n",
+ " <td id=\"T_7318c_row1_col7\" class=\"data row1 col7\" >2.30</td>\n",
+ " <td id=\"T_7318c_row1_col8\" class=\"data row1 col8\" >1.70</td>\n",
+ " <td id=\"T_7318c_row1_col9\" class=\"data row1 col9\" >0.10</td>\n",
+ " <td id=\"T_7318c_row1_col10\" class=\"data row1 col10\" >87.33</td>\n",
+ " <td id=\"T_7318c_row1_col11\" class=\"data row1 col11\" >6.14</td>\n",
+ " <td id=\"T_7318c_row1_col12\" class=\"data row1 col12\" >37.60</td>\n",
+ " <td id=\"T_7318c_row1_col13\" class=\"data row1 col13\" >3.78</td>\n",
+ " <td id=\"T_7318c_row1_col14\" class=\"data row1 col14\" >1.58</td>\n",
+ " <td id=\"T_7318c_row1_col15\" class=\"data row1 col15\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_7318c_row2_col0\" class=\"data row2 col0\" >57.84</td>\n",
+ " <td id=\"T_7318c_row2_col1\" class=\"data row2 col1\" >3.53</td>\n",
+ " <td id=\"T_7318c_row2_col2\" class=\"data row2 col2\" >49.34</td>\n",
+ " <td id=\"T_7318c_row2_col3\" class=\"data row2 col3\" >3.54</td>\n",
+ " <td id=\"T_7318c_row2_col4\" class=\"data row2 col4\" >91.69</td>\n",
+ " <td id=\"T_7318c_row2_col5\" class=\"data row2 col5\" >2.34</td>\n",
+ " <td id=\"T_7318c_row2_col6\" class=\"data row2 col6\" >94.85</td>\n",
+ " <td id=\"T_7318c_row2_col7\" class=\"data row2 col7\" >2.78</td>\n",
+ " <td id=\"T_7318c_row2_col8\" class=\"data row2 col8\" >1.56</td>\n",
+ " <td id=\"T_7318c_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
+ " <td id=\"T_7318c_row2_col10\" class=\"data row2 col10\" >73.19</td>\n",
+ " <td id=\"T_7318c_row2_col11\" class=\"data row2 col11\" >5.22</td>\n",
+ " <td id=\"T_7318c_row2_col12\" class=\"data row2 col12\" >47.56</td>\n",
+ " <td id=\"T_7318c_row2_col13\" class=\"data row2 col13\" >3.50</td>\n",
+ " <td id=\"T_7318c_row2_col14\" class=\"data row2 col14\" >1.32</td>\n",
+ " <td id=\"T_7318c_row2_col15\" class=\"data row2 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_7318c_row3_col0\" class=\"data row3 col0\" >76.55</td>\n",
+ " <td id=\"T_7318c_row3_col1\" class=\"data row3 col1\" >3.85</td>\n",
+ " <td id=\"T_7318c_row3_col2\" class=\"data row3 col2\" >66.28</td>\n",
+ " <td id=\"T_7318c_row3_col3\" class=\"data row3 col3\" >4.21</td>\n",
+ " <td id=\"T_7318c_row3_col4\" class=\"data row3 col4\" >95.45</td>\n",
+ " <td id=\"T_7318c_row3_col5\" class=\"data row3 col5\" >1.62</td>\n",
+ " <td id=\"T_7318c_row3_col6\" class=\"data row3 col6\" >97.33</td>\n",
+ " <td id=\"T_7318c_row3_col7\" class=\"data row3 col7\" >1.62</td>\n",
+ " <td id=\"T_7318c_row3_col8\" class=\"data row3 col8\" >1.54</td>\n",
+ " <td id=\"T_7318c_row3_col9\" class=\"data row3 col9\" >0.09</td>\n",
+ " <td id=\"T_7318c_row3_col10\" class=\"data row3 col10\" >100.54</td>\n",
+ " <td id=\"T_7318c_row3_col11\" class=\"data row3 col11\" >5.97</td>\n",
+ " <td id=\"T_7318c_row3_col12\" class=\"data row3 col12\" >27.20</td>\n",
+ " <td id=\"T_7318c_row3_col13\" class=\"data row3 col13\" >3.85</td>\n",
+ " <td id=\"T_7318c_row3_col14\" class=\"data row3 col14\" >1.82</td>\n",
+ " <td id=\"T_7318c_row3_col15\" class=\"data row3 col15\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_7318c_row4_col0\" class=\"data row4 col0\" >63.85</td>\n",
+ " <td id=\"T_7318c_row4_col1\" class=\"data row4 col1\" >4.04</td>\n",
+ " <td id=\"T_7318c_row4_col2\" class=\"data row4 col2\" >53.65</td>\n",
+ " <td id=\"T_7318c_row4_col3\" class=\"data row4 col3\" >4.06</td>\n",
+ " <td id=\"T_7318c_row4_col4\" class=\"data row4 col4\" >92.95</td>\n",
+ " <td id=\"T_7318c_row4_col5\" class=\"data row4 col5\" >2.12</td>\n",
+ " <td id=\"T_7318c_row4_col6\" class=\"data row4 col6\" >94.59</td>\n",
+ " <td id=\"T_7318c_row4_col7\" class=\"data row4 col7\" >2.85</td>\n",
+ " <td id=\"T_7318c_row4_col8\" class=\"data row4 col8\" >1.66</td>\n",
+ " <td id=\"T_7318c_row4_col9\" class=\"data row4 col9\" >0.09</td>\n",
+ " <td id=\"T_7318c_row4_col10\" class=\"data row4 col10\" >80.72</td>\n",
+ " <td id=\"T_7318c_row4_col11\" class=\"data row4 col11\" >5.69</td>\n",
+ " <td id=\"T_7318c_row4_col12\" class=\"data row4 col12\" >41.05</td>\n",
+ " <td id=\"T_7318c_row4_col13\" class=\"data row4 col13\" >3.66</td>\n",
+ " <td id=\"T_7318c_row4_col14\" class=\"data row4 col14\" >1.46</td>\n",
+ " <td id=\"T_7318c_row4_col15\" class=\"data row4 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_7318c_row5_col0\" class=\"data row5 col0\" >71.84</td>\n",
+ " <td id=\"T_7318c_row5_col1\" class=\"data row5 col1\" >3.39</td>\n",
+ " <td id=\"T_7318c_row5_col2\" class=\"data row5 col2\" >72.02</td>\n",
+ " <td id=\"T_7318c_row5_col3\" class=\"data row5 col3\" >3.06</td>\n",
+ " <td id=\"T_7318c_row5_col4\" class=\"data row5 col4\" >88.30</td>\n",
+ " <td id=\"T_7318c_row5_col5\" class=\"data row5 col5\" >2.28</td>\n",
+ " <td id=\"T_7318c_row5_col6\" class=\"data row5 col6\" >97.17</td>\n",
+ " <td id=\"T_7318c_row5_col7\" class=\"data row5 col7\" >1.77</td>\n",
+ " <td id=\"T_7318c_row5_col8\" class=\"data row5 col8\" >1.34</td>\n",
+ " <td id=\"T_7318c_row5_col9\" class=\"data row5 col9\" >0.05</td>\n",
+ " <td id=\"T_7318c_row5_col10\" class=\"data row5 col10\" >96.79</td>\n",
+ " <td id=\"T_7318c_row5_col11\" class=\"data row5 col11\" >5.05</td>\n",
+ " <td id=\"T_7318c_row5_col12\" class=\"data row5 col12\" >32.73</td>\n",
+ " <td id=\"T_7318c_row5_col13\" class=\"data row5 col13\" >3.99</td>\n",
+ " <td id=\"T_7318c_row5_col14\" class=\"data row5 col14\" >1.75</td>\n",
+ " <td id=\"T_7318c_row5_col15\" class=\"data row5 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7318c_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_7318c_row6_col0\" class=\"data row6 col0\" >87.87</td>\n",
+ " <td id=\"T_7318c_row6_col1\" class=\"data row6 col1\" >2.94</td>\n",
+ " <td id=\"T_7318c_row6_col2\" class=\"data row6 col2\" >83.98</td>\n",
+ " <td id=\"T_7318c_row6_col3\" class=\"data row6 col3\" >3.46</td>\n",
+ " <td id=\"T_7318c_row6_col4\" class=\"data row6 col4\" >90.97</td>\n",
+ " <td id=\"T_7318c_row6_col5\" class=\"data row6 col5\" >1.99</td>\n",
+ " <td id=\"T_7318c_row6_col6\" class=\"data row6 col6\" >98.57</td>\n",
+ " <td id=\"T_7318c_row6_col7\" class=\"data row6 col7\" >1.20</td>\n",
+ " <td id=\"T_7318c_row6_col8\" class=\"data row6 col8\" >1.49</td>\n",
+ " <td id=\"T_7318c_row6_col9\" class=\"data row6 col9\" >0.05</td>\n",
+ " <td id=\"T_7318c_row6_col10\" class=\"data row6 col10\" >118.81</td>\n",
+ " <td id=\"T_7318c_row6_col11\" class=\"data row6 col11\" >5.14</td>\n",
+ " <td id=\"T_7318c_row6_col12\" class=\"data row6 col12\" >15.31</td>\n",
+ " <td id=\"T_7318c_row6_col13\" class=\"data row6 col13\" >2.67</td>\n",
+ " <td id=\"T_7318c_row6_col14\" class=\"data row6 col14\" >2.15</td>\n",
+ " <td id=\"T_7318c_row6_col15\" class=\"data row6 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc224fb8d10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_da031 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_da031 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_da031_row3_col4, #T_da031_row5_col8, #T_da031_row6_col0, #T_da031_row6_col2, #T_da031_row6_col6, #T_da031_row6_col10, #T_da031_row6_col12, #T_da031_row6_col14 {\n",
+ " background-color: #34FF34;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_da031\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_da031_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_da031_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_da031_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_da031_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_da031_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_da031_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_da031_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_da031_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_da031_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_da031_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_da031_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_da031_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_da031_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_da031_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_da031_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_da031_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_da031_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_da031_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_da031_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_da031_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_da031_row0_col0\" class=\"data row0 col0\" >77.45</td>\n",
+ " <td id=\"T_da031_row0_col1\" class=\"data row0 col1\" >3.42</td>\n",
+ " <td id=\"T_da031_row0_col2\" class=\"data row0 col2\" >72.38</td>\n",
+ " <td id=\"T_da031_row0_col3\" class=\"data row0 col3\" >4.33</td>\n",
+ " <td id=\"T_da031_row0_col4\" class=\"data row0 col4\" >95.43</td>\n",
+ " <td id=\"T_da031_row0_col5\" class=\"data row0 col5\" >1.64</td>\n",
+ " <td id=\"T_da031_row0_col6\" class=\"data row0 col6\" >97.02</td>\n",
+ " <td id=\"T_da031_row0_col7\" class=\"data row0 col7\" >2.58</td>\n",
+ " <td id=\"T_da031_row0_col8\" class=\"data row0 col8\" >1.32</td>\n",
+ " <td id=\"T_da031_row0_col9\" class=\"data row0 col9\" >0.08</td>\n",
+ " <td id=\"T_da031_row0_col10\" class=\"data row0 col10\" >70.02</td>\n",
+ " <td id=\"T_da031_row0_col11\" class=\"data row0 col11\" >4.02</td>\n",
+ " <td id=\"T_da031_row0_col12\" class=\"data row0 col12\" >50.23</td>\n",
+ " <td id=\"T_da031_row0_col13\" class=\"data row0 col13\" >3.86</td>\n",
+ " <td id=\"T_da031_row0_col14\" class=\"data row0 col14\" >1.27</td>\n",
+ " <td id=\"T_da031_row0_col15\" class=\"data row0 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_da031_row1_col0\" class=\"data row1 col0\" >78.77</td>\n",
+ " <td id=\"T_da031_row1_col1\" class=\"data row1 col1\" >4.41</td>\n",
+ " <td id=\"T_da031_row1_col2\" class=\"data row1 col2\" >68.26</td>\n",
+ " <td id=\"T_da031_row1_col3\" class=\"data row1 col3\" >5.52</td>\n",
+ " <td id=\"T_da031_row1_col4\" class=\"data row1 col4\" >94.40</td>\n",
+ " <td id=\"T_da031_row1_col5\" class=\"data row1 col5\" >1.83</td>\n",
+ " <td id=\"T_da031_row1_col6\" class=\"data row1 col6\" >96.58</td>\n",
+ " <td id=\"T_da031_row1_col7\" class=\"data row1 col7\" >2.62</td>\n",
+ " <td id=\"T_da031_row1_col8\" class=\"data row1 col8\" >1.49</td>\n",
+ " <td id=\"T_da031_row1_col9\" class=\"data row1 col9\" >0.09</td>\n",
+ " <td id=\"T_da031_row1_col10\" class=\"data row1 col10\" >68.45</td>\n",
+ " <td id=\"T_da031_row1_col11\" class=\"data row1 col11\" >5.01</td>\n",
+ " <td id=\"T_da031_row1_col12\" class=\"data row1 col12\" >51.15</td>\n",
+ " <td id=\"T_da031_row1_col13\" class=\"data row1 col13\" >3.38</td>\n",
+ " <td id=\"T_da031_row1_col14\" class=\"data row1 col14\" >1.24</td>\n",
+ " <td id=\"T_da031_row1_col15\" class=\"data row1 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_da031_row2_col0\" class=\"data row2 col0\" >62.65</td>\n",
+ " <td id=\"T_da031_row2_col1\" class=\"data row2 col1\" >4.15</td>\n",
+ " <td id=\"T_da031_row2_col2\" class=\"data row2 col2\" >55.41</td>\n",
+ " <td id=\"T_da031_row2_col3\" class=\"data row2 col3\" >4.36</td>\n",
+ " <td id=\"T_da031_row2_col4\" class=\"data row2 col4\" >90.99</td>\n",
+ " <td id=\"T_da031_row2_col5\" class=\"data row2 col5\" >2.62</td>\n",
+ " <td id=\"T_da031_row2_col6\" class=\"data row2 col6\" >95.88</td>\n",
+ " <td id=\"T_da031_row2_col7\" class=\"data row2 col7\" >2.61</td>\n",
+ " <td id=\"T_da031_row2_col8\" class=\"data row2 col8\" >1.46</td>\n",
+ " <td id=\"T_da031_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
+ " <td id=\"T_da031_row2_col10\" class=\"data row2 col10\" >53.65</td>\n",
+ " <td id=\"T_da031_row2_col11\" class=\"data row2 col11\" >3.99</td>\n",
+ " <td id=\"T_da031_row2_col12\" class=\"data row2 col12\" >61.70</td>\n",
+ " <td id=\"T_da031_row2_col13\" class=\"data row2 col13\" >3.32</td>\n",
+ " <td id=\"T_da031_row2_col14\" class=\"data row2 col14\" >0.97</td>\n",
+ " <td id=\"T_da031_row2_col15\" class=\"data row2 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_da031_row3_col0\" class=\"data row3 col0\" >83.77</td>\n",
+ " <td id=\"T_da031_row3_col1\" class=\"data row3 col1\" >4.17</td>\n",
+ " <td id=\"T_da031_row3_col2\" class=\"data row3 col2\" >76.18</td>\n",
+ " <td id=\"T_da031_row3_col3\" class=\"data row3 col3\" >4.88</td>\n",
+ " <td id=\"T_da031_row3_col4\" class=\"data row3 col4\" >96.37</td>\n",
+ " <td id=\"T_da031_row3_col5\" class=\"data row3 col5\" >1.39</td>\n",
+ " <td id=\"T_da031_row3_col6\" class=\"data row3 col6\" >98.33</td>\n",
+ " <td id=\"T_da031_row3_col7\" class=\"data row3 col7\" >1.77</td>\n",
+ " <td id=\"T_da031_row3_col8\" class=\"data row3 col8\" >1.33</td>\n",
+ " <td id=\"T_da031_row3_col9\" class=\"data row3 col9\" >0.08</td>\n",
+ " <td id=\"T_da031_row3_col10\" class=\"data row3 col10\" >75.31</td>\n",
+ " <td id=\"T_da031_row3_col11\" class=\"data row3 col11\" >4.57</td>\n",
+ " <td id=\"T_da031_row3_col12\" class=\"data row3 col12\" >45.26</td>\n",
+ " <td id=\"T_da031_row3_col13\" class=\"data row3 col13\" >3.86</td>\n",
+ " <td id=\"T_da031_row3_col14\" class=\"data row3 col14\" >1.36</td>\n",
+ " <td id=\"T_da031_row3_col15\" class=\"data row3 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_da031_row4_col0\" class=\"data row4 col0\" >71.97</td>\n",
+ " <td id=\"T_da031_row4_col1\" class=\"data row4 col1\" >4.87</td>\n",
+ " <td id=\"T_da031_row4_col2\" class=\"data row4 col2\" >62.67</td>\n",
+ " <td id=\"T_da031_row4_col3\" class=\"data row4 col3\" >5.31</td>\n",
+ " <td id=\"T_da031_row4_col4\" class=\"data row4 col4\" >93.76</td>\n",
+ " <td id=\"T_da031_row4_col5\" class=\"data row4 col5\" >1.86</td>\n",
+ " <td id=\"T_da031_row4_col6\" class=\"data row4 col6\" >95.63</td>\n",
+ " <td id=\"T_da031_row4_col7\" class=\"data row4 col7\" >3.16</td>\n",
+ " <td id=\"T_da031_row4_col8\" class=\"data row4 col8\" >1.51</td>\n",
+ " <td id=\"T_da031_row4_col9\" class=\"data row4 col9\" >0.09</td>\n",
+ " <td id=\"T_da031_row4_col10\" class=\"data row4 col10\" >62.07</td>\n",
+ " <td id=\"T_da031_row4_col11\" class=\"data row4 col11\" >4.68</td>\n",
+ " <td id=\"T_da031_row4_col12\" class=\"data row4 col12\" >54.93</td>\n",
+ " <td id=\"T_da031_row4_col13\" class=\"data row4 col13\" >3.68</td>\n",
+ " <td id=\"T_da031_row4_col14\" class=\"data row4 col14\" >1.12</td>\n",
+ " <td id=\"T_da031_row4_col15\" class=\"data row4 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_da031_row5_col0\" class=\"data row5 col0\" >75.72</td>\n",
+ " <td id=\"T_da031_row5_col1\" class=\"data row5 col1\" >3.33</td>\n",
+ " <td id=\"T_da031_row5_col2\" class=\"data row5 col2\" >76.41</td>\n",
+ " <td id=\"T_da031_row5_col3\" class=\"data row5 col3\" >3.81</td>\n",
+ " <td id=\"T_da031_row5_col4\" class=\"data row5 col4\" >89.61</td>\n",
+ " <td id=\"T_da031_row5_col5\" class=\"data row5 col5\" >2.41</td>\n",
+ " <td id=\"T_da031_row5_col6\" class=\"data row5 col6\" >97.34</td>\n",
+ " <td id=\"T_da031_row5_col7\" class=\"data row5 col7\" >1.78</td>\n",
+ " <td id=\"T_da031_row5_col8\" class=\"data row5 col8\" >1.21</td>\n",
+ " <td id=\"T_da031_row5_col9\" class=\"data row5 col9\" >0.05</td>\n",
+ " <td id=\"T_da031_row5_col10\" class=\"data row5 col10\" >68.79</td>\n",
+ " <td id=\"T_da031_row5_col11\" class=\"data row5 col11\" >3.64</td>\n",
+ " <td id=\"T_da031_row5_col12\" class=\"data row5 col12\" >51.82</td>\n",
+ " <td id=\"T_da031_row5_col13\" class=\"data row5 col13\" >3.83</td>\n",
+ " <td id=\"T_da031_row5_col14\" class=\"data row5 col14\" >1.24</td>\n",
+ " <td id=\"T_da031_row5_col15\" class=\"data row5 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_da031_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_da031_row6_col0\" class=\"data row6 col0\" >94.86</td>\n",
+ " <td id=\"T_da031_row6_col1\" class=\"data row6 col1\" >2.35</td>\n",
+ " <td id=\"T_da031_row6_col2\" class=\"data row6 col2\" >94.04</td>\n",
+ " <td id=\"T_da031_row6_col3\" class=\"data row6 col3\" >2.45</td>\n",
+ " <td id=\"T_da031_row6_col4\" class=\"data row6 col4\" >95.91</td>\n",
+ " <td id=\"T_da031_row6_col5\" class=\"data row6 col5\" >1.62</td>\n",
+ " <td id=\"T_da031_row6_col6\" class=\"data row6 col6\" >99.38</td>\n",
+ " <td id=\"T_da031_row6_col7\" class=\"data row6 col7\" >1.07</td>\n",
+ " <td id=\"T_da031_row6_col8\" class=\"data row6 col8\" >1.27</td>\n",
+ " <td id=\"T_da031_row6_col9\" class=\"data row6 col9\" >0.05</td>\n",
+ " <td id=\"T_da031_row6_col10\" class=\"data row6 col10\" >88.94</td>\n",
+ " <td id=\"T_da031_row6_col11\" class=\"data row6 col11\" >3.34</td>\n",
+ " <td id=\"T_da031_row6_col12\" class=\"data row6 col12\" >34.63</td>\n",
+ " <td id=\"T_da031_row6_col13\" class=\"data row6 col13\" >3.14</td>\n",
+ " <td id=\"T_da031_row6_col14\" class=\"data row6 col14\" >1.61</td>\n",
+ " <td id=\"T_da031_row6_col15\" class=\"data row6 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc224af54d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_43280 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_43280 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_43280_row6_col0, #T_43280_row6_col2, #T_43280_row6_col4, #T_43280_row6_col6, #T_43280_row6_col8, #T_43280_row6_col10, #T_43280_row6_col12, #T_43280_row6_col14 {\n",
+ " background-color: #34FF34;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_43280\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_43280_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_43280_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_43280_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_43280_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_43280_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_43280_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_43280_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_43280_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_43280_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_43280_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_43280_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_43280_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_43280_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_43280_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_43280_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_43280_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_43280_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_43280_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_43280_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_43280_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_43280_row0_col0\" class=\"data row0 col0\" >84.84</td>\n",
+ " <td id=\"T_43280_row0_col1\" class=\"data row0 col1\" >4.98</td>\n",
+ " <td id=\"T_43280_row0_col2\" class=\"data row0 col2\" >79.09</td>\n",
+ " <td id=\"T_43280_row0_col3\" class=\"data row0 col3\" >5.02</td>\n",
+ " <td id=\"T_43280_row0_col4\" class=\"data row0 col4\" >95.86</td>\n",
+ " <td id=\"T_43280_row0_col5\" class=\"data row0 col5\" >2.28</td>\n",
+ " <td id=\"T_43280_row0_col6\" class=\"data row0 col6\" >98.23</td>\n",
+ " <td id=\"T_43280_row0_col7\" class=\"data row0 col7\" >1.75</td>\n",
+ " <td id=\"T_43280_row0_col8\" class=\"data row0 col8\" >1.21</td>\n",
+ " <td id=\"T_43280_row0_col9\" class=\"data row0 col9\" >0.09</td>\n",
+ " <td id=\"T_43280_row0_col10\" class=\"data row0 col10\" >38.28</td>\n",
+ " <td id=\"T_43280_row0_col11\" class=\"data row0 col11\" >2.56</td>\n",
+ " <td id=\"T_43280_row0_col12\" class=\"data row0 col12\" >72.41</td>\n",
+ " <td id=\"T_43280_row0_col13\" class=\"data row0 col13\" >2.64</td>\n",
+ " <td id=\"T_43280_row0_col14\" class=\"data row0 col14\" >0.69</td>\n",
+ " <td id=\"T_43280_row0_col15\" class=\"data row0 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_43280_row1_col0\" class=\"data row1 col0\" >88.70</td>\n",
+ " <td id=\"T_43280_row1_col1\" class=\"data row1 col1\" >4.05</td>\n",
+ " <td id=\"T_43280_row1_col2\" class=\"data row1 col2\" >80.36</td>\n",
+ " <td id=\"T_43280_row1_col3\" class=\"data row1 col3\" >5.25</td>\n",
+ " <td id=\"T_43280_row1_col4\" class=\"data row1 col4\" >95.56</td>\n",
+ " <td id=\"T_43280_row1_col5\" class=\"data row1 col5\" >2.30</td>\n",
+ " <td id=\"T_43280_row1_col6\" class=\"data row1 col6\" >98.34</td>\n",
+ " <td id=\"T_43280_row1_col7\" class=\"data row1 col7\" >1.66</td>\n",
+ " <td id=\"T_43280_row1_col8\" class=\"data row1 col8\" >1.28</td>\n",
+ " <td id=\"T_43280_row1_col9\" class=\"data row1 col9\" >0.09</td>\n",
+ " <td id=\"T_43280_row1_col10\" class=\"data row1 col10\" >39.62</td>\n",
+ " <td id=\"T_43280_row1_col11\" class=\"data row1 col11\" >2.48</td>\n",
+ " <td id=\"T_43280_row1_col12\" class=\"data row1 col12\" >71.17</td>\n",
+ " <td id=\"T_43280_row1_col13\" class=\"data row1 col13\" >2.60</td>\n",
+ " <td id=\"T_43280_row1_col14\" class=\"data row1 col14\" >0.72</td>\n",
+ " <td id=\"T_43280_row1_col15\" class=\"data row1 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_43280_row2_col0\" class=\"data row2 col0\" >70.81</td>\n",
+ " <td id=\"T_43280_row2_col1\" class=\"data row2 col1\" >5.59</td>\n",
+ " <td id=\"T_43280_row2_col2\" class=\"data row2 col2\" >64.64</td>\n",
+ " <td id=\"T_43280_row2_col3\" class=\"data row2 col3\" >5.61</td>\n",
+ " <td id=\"T_43280_row2_col4\" class=\"data row2 col4\" >90.99</td>\n",
+ " <td id=\"T_43280_row2_col5\" class=\"data row2 col5\" >3.20</td>\n",
+ " <td id=\"T_43280_row2_col6\" class=\"data row2 col6\" >97.36</td>\n",
+ " <td id=\"T_43280_row2_col7\" class=\"data row2 col7\" >2.56</td>\n",
+ " <td id=\"T_43280_row2_col8\" class=\"data row2 col8\" >1.30</td>\n",
+ " <td id=\"T_43280_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
+ " <td id=\"T_43280_row2_col10\" class=\"data row2 col10\" >30.98</td>\n",
+ " <td id=\"T_43280_row2_col11\" class=\"data row2 col11\" >2.69</td>\n",
+ " <td id=\"T_43280_row2_col12\" class=\"data row2 col12\" >77.69</td>\n",
+ " <td id=\"T_43280_row2_col13\" class=\"data row2 col13\" >2.23</td>\n",
+ " <td id=\"T_43280_row2_col14\" class=\"data row2 col14\" >0.56</td>\n",
+ " <td id=\"T_43280_row2_col15\" class=\"data row2 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_43280_row3_col0\" class=\"data row3 col0\" >89.24</td>\n",
+ " <td id=\"T_43280_row3_col1\" class=\"data row3 col1\" >4.16</td>\n",
+ " <td id=\"T_43280_row3_col2\" class=\"data row3 col2\" >85.59</td>\n",
+ " <td id=\"T_43280_row3_col3\" class=\"data row3 col3\" >5.14</td>\n",
+ " <td id=\"T_43280_row3_col4\" class=\"data row3 col4\" >97.27</td>\n",
+ " <td id=\"T_43280_row3_col5\" class=\"data row3 col5\" >2.00</td>\n",
+ " <td id=\"T_43280_row3_col6\" class=\"data row3 col6\" >98.72</td>\n",
+ " <td id=\"T_43280_row3_col7\" class=\"data row3 col7\" >1.90</td>\n",
+ " <td id=\"T_43280_row3_col8\" class=\"data row3 col8\" >1.17</td>\n",
+ " <td id=\"T_43280_row3_col9\" class=\"data row3 col9\" >0.08</td>\n",
+ " <td id=\"T_43280_row3_col10\" class=\"data row3 col10\" >41.38</td>\n",
+ " <td id=\"T_43280_row3_col11\" class=\"data row3 col11\" >2.80</td>\n",
+ " <td id=\"T_43280_row3_col12\" class=\"data row3 col12\" >69.54</td>\n",
+ " <td id=\"T_43280_row3_col13\" class=\"data row3 col13\" >3.10</td>\n",
+ " <td id=\"T_43280_row3_col14\" class=\"data row3 col14\" >0.75</td>\n",
+ " <td id=\"T_43280_row3_col15\" class=\"data row3 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_43280_row4_col0\" class=\"data row4 col0\" >81.94</td>\n",
+ " <td id=\"T_43280_row4_col1\" class=\"data row4 col1\" >5.42</td>\n",
+ " <td id=\"T_43280_row4_col2\" class=\"data row4 col2\" >75.59</td>\n",
+ " <td id=\"T_43280_row4_col3\" class=\"data row4 col3\" >6.08</td>\n",
+ " <td id=\"T_43280_row4_col4\" class=\"data row4 col4\" >94.53</td>\n",
+ " <td id=\"T_43280_row4_col5\" class=\"data row4 col5\" >2.64</td>\n",
+ " <td id=\"T_43280_row4_col6\" class=\"data row4 col6\" >97.24</td>\n",
+ " <td id=\"T_43280_row4_col7\" class=\"data row4 col7\" >2.94</td>\n",
+ " <td id=\"T_43280_row4_col8\" class=\"data row4 col8\" >1.30</td>\n",
+ " <td id=\"T_43280_row4_col9\" class=\"data row4 col9\" >0.09</td>\n",
+ " <td id=\"T_43280_row4_col10\" class=\"data row4 col10\" >36.58</td>\n",
+ " <td id=\"T_43280_row4_col11\" class=\"data row4 col11\" >2.87</td>\n",
+ " <td id=\"T_43280_row4_col12\" class=\"data row4 col12\" >73.01</td>\n",
+ " <td id=\"T_43280_row4_col13\" class=\"data row4 col13\" >2.66</td>\n",
+ " <td id=\"T_43280_row4_col14\" class=\"data row4 col14\" >0.66</td>\n",
+ " <td id=\"T_43280_row4_col15\" class=\"data row4 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_43280_row5_col0\" class=\"data row5 col0\" >78.53</td>\n",
+ " <td id=\"T_43280_row5_col1\" class=\"data row5 col1\" >5.03</td>\n",
+ " <td id=\"T_43280_row5_col2\" class=\"data row5 col2\" >79.56</td>\n",
+ " <td id=\"T_43280_row5_col3\" class=\"data row5 col3\" >4.18</td>\n",
+ " <td id=\"T_43280_row5_col4\" class=\"data row5 col4\" >89.77</td>\n",
+ " <td id=\"T_43280_row5_col5\" class=\"data row5 col5\" >3.76</td>\n",
+ " <td id=\"T_43280_row5_col6\" class=\"data row5 col6\" >97.40</td>\n",
+ " <td id=\"T_43280_row5_col7\" class=\"data row5 col7\" >2.82</td>\n",
+ " <td id=\"T_43280_row5_col8\" class=\"data row5 col8\" >1.13</td>\n",
+ " <td id=\"T_43280_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
+ " <td id=\"T_43280_row5_col10\" class=\"data row5 col10\" >35.76</td>\n",
+ " <td id=\"T_43280_row5_col11\" class=\"data row5 col11\" >2.61</td>\n",
+ " <td id=\"T_43280_row5_col12\" class=\"data row5 col12\" >74.21</td>\n",
+ " <td id=\"T_43280_row5_col13\" class=\"data row5 col13\" >2.53</td>\n",
+ " <td id=\"T_43280_row5_col14\" class=\"data row5 col14\" >0.65</td>\n",
+ " <td id=\"T_43280_row5_col15\" class=\"data row5 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_43280_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_43280_row6_col0\" class=\"data row6 col0\" >98.46</td>\n",
+ " <td id=\"T_43280_row6_col1\" class=\"data row6 col1\" >1.45</td>\n",
+ " <td id=\"T_43280_row6_col2\" class=\"data row6 col2\" >98.50</td>\n",
+ " <td id=\"T_43280_row6_col3\" class=\"data row6 col3\" >1.26</td>\n",
+ " <td id=\"T_43280_row6_col4\" class=\"data row6 col4\" >98.91</td>\n",
+ " <td id=\"T_43280_row6_col5\" class=\"data row6 col5\" >0.95</td>\n",
+ " <td id=\"T_43280_row6_col6\" class=\"data row6 col6\" >99.89</td>\n",
+ " <td id=\"T_43280_row6_col7\" class=\"data row6 col7\" >0.46</td>\n",
+ " <td id=\"T_43280_row6_col8\" class=\"data row6 col8\" >1.12</td>\n",
+ " <td id=\"T_43280_row6_col9\" class=\"data row6 col9\" >0.05</td>\n",
+ " <td id=\"T_43280_row6_col10\" class=\"data row6 col10\" >47.02</td>\n",
+ " <td id=\"T_43280_row6_col11\" class=\"data row6 col11\" >1.74</td>\n",
+ " <td id=\"T_43280_row6_col12\" class=\"data row6 col12\" >64.20</td>\n",
+ " <td id=\"T_43280_row6_col13\" class=\"data row6 col13\" >2.95</td>\n",
+ " <td id=\"T_43280_row6_col14\" class=\"data row6 col14\" >0.85</td>\n",
+ " <td id=\"T_43280_row6_col15\" class=\"data row6 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc224be0590>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_consolidate()"
]
@@ -85,36 +683,529 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.plot_graph(\"large\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_fb148 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_fb148 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_fb148_row0_col0, #T_fb148_row5_col0 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row0_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row1_col0 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row1_col2 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row2_col0, #T_fb148_row2_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row3_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row3_col2 {\n",
+ " background-color: #91f991;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row4_col0 {\n",
+ " background-color: #c6f5c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row4_col2 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row5_col2 {\n",
+ " background-color: #73fb73;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_fb148_row6_col0, #T_fb148_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_fb148\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_fb148_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_fb148_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_fb148_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_fb148_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_fb148_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_fb148_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_fb148_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_fb148_row0_col0\" class=\"data row0 col0\" >71.96</td>\n",
+ " <td id=\"T_fb148_row0_col1\" class=\"data row0 col1\" >3.39</td>\n",
+ " <td id=\"T_fb148_row0_col2\" class=\"data row0 col2\" >65.09</td>\n",
+ " <td id=\"T_fb148_row0_col3\" class=\"data row0 col3\" >3.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_fb148_row1_col0\" class=\"data row1 col0\" >69.88</td>\n",
+ " <td id=\"T_fb148_row1_col1\" class=\"data row1 col1\" >3.88</td>\n",
+ " <td id=\"T_fb148_row1_col2\" class=\"data row1 col2\" >56.20</td>\n",
+ " <td id=\"T_fb148_row1_col3\" class=\"data row1 col3\" >4.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_fb148_row2_col0\" class=\"data row2 col0\" >57.84</td>\n",
+ " <td id=\"T_fb148_row2_col1\" class=\"data row2 col1\" >3.53</td>\n",
+ " <td id=\"T_fb148_row2_col2\" class=\"data row2 col2\" >49.34</td>\n",
+ " <td id=\"T_fb148_row2_col3\" class=\"data row2 col3\" >3.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_fb148_row3_col0\" class=\"data row3 col0\" >76.55</td>\n",
+ " <td id=\"T_fb148_row3_col1\" class=\"data row3 col1\" >3.85</td>\n",
+ " <td id=\"T_fb148_row3_col2\" class=\"data row3 col2\" >66.28</td>\n",
+ " <td id=\"T_fb148_row3_col3\" class=\"data row3 col3\" >4.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_fb148_row4_col0\" class=\"data row4 col0\" >63.85</td>\n",
+ " <td id=\"T_fb148_row4_col1\" class=\"data row4 col1\" >4.04</td>\n",
+ " <td id=\"T_fb148_row4_col2\" class=\"data row4 col2\" >53.65</td>\n",
+ " <td id=\"T_fb148_row4_col3\" class=\"data row4 col3\" >4.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_fb148_row5_col0\" class=\"data row5 col0\" >71.84</td>\n",
+ " <td id=\"T_fb148_row5_col1\" class=\"data row5 col1\" >3.39</td>\n",
+ " <td id=\"T_fb148_row5_col2\" class=\"data row5 col2\" >72.02</td>\n",
+ " <td id=\"T_fb148_row5_col3\" class=\"data row5 col3\" >3.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fb148_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_fb148_row6_col0\" class=\"data row6 col0\" >87.87</td>\n",
+ " <td id=\"T_fb148_row6_col1\" class=\"data row6 col1\" >2.94</td>\n",
+ " <td id=\"T_fb148_row6_col2\" class=\"data row6 col2\" >83.98</td>\n",
+ " <td id=\"T_fb148_row6_col3\" class=\"data row6 col3\" >3.46</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc226e6d890>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_bidded(\"large\", tables_type=\"conso\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_8cd6a td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_8cd6a th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_8cd6a_row0_col0 {\n",
+ " background-color: #38ff38;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row0_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row0_col4 {\n",
+ " background-color: #f6aaaa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row1_col0 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row1_col2 {\n",
+ " background-color: #d0f5d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_8cd6a_row2_col0 {\n",
+ " background-color: #94f994;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row2_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row2_col4 {\n",
+ " background-color: #fa5e5e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_8cd6a_row3_col0, #T_8cd6a_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row3_col2 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row3_col4 {\n",
+ " background-color: #fa6868;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_8cd6a_row4_col0, #T_8cd6a_row5_col2 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row4_col2, #T_8cd6a_row5_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row4_col4 {\n",
+ " background-color: #fe1818;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_8cd6a_row5_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row6_col0 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_8cd6a_row6_col4 {\n",
+ " background-color: #f88b8b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_8cd6a\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_8cd6a_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_8cd6a_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_8cd6a_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_8cd6a_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_8cd6a_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_8cd6a_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_8cd6a_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_8cd6a_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_8cd6a_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_8cd6a_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_8cd6a_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_8cd6a_row0_col0\" class=\"data row0 col0\" >95.29</td>\n",
+ " <td id=\"T_8cd6a_row0_col1\" class=\"data row0 col1\" >1.55</td>\n",
+ " <td id=\"T_8cd6a_row0_col2\" class=\"data row0 col2\" >96.65</td>\n",
+ " <td id=\"T_8cd6a_row0_col3\" class=\"data row0 col3\" >2.04</td>\n",
+ " <td id=\"T_8cd6a_row0_col4\" class=\"data row0 col4\" >1.44</td>\n",
+ " <td id=\"T_8cd6a_row0_col5\" class=\"data row0 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_8cd6a_row1_col0\" class=\"data row1 col0\" >93.53</td>\n",
+ " <td id=\"T_8cd6a_row1_col1\" class=\"data row1 col1\" >2.07</td>\n",
+ " <td id=\"T_8cd6a_row1_col2\" class=\"data row1 col2\" >95.17</td>\n",
+ " <td id=\"T_8cd6a_row1_col3\" class=\"data row1 col3\" >2.30</td>\n",
+ " <td id=\"T_8cd6a_row1_col4\" class=\"data row1 col4\" >1.70</td>\n",
+ " <td id=\"T_8cd6a_row1_col5\" class=\"data row1 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_8cd6a_row2_col0\" class=\"data row2 col0\" >91.69</td>\n",
+ " <td id=\"T_8cd6a_row2_col1\" class=\"data row2 col1\" >2.34</td>\n",
+ " <td id=\"T_8cd6a_row2_col2\" class=\"data row2 col2\" >94.85</td>\n",
+ " <td id=\"T_8cd6a_row2_col3\" class=\"data row2 col3\" >2.78</td>\n",
+ " <td id=\"T_8cd6a_row2_col4\" class=\"data row2 col4\" >1.56</td>\n",
+ " <td id=\"T_8cd6a_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_8cd6a_row3_col0\" class=\"data row3 col0\" >95.45</td>\n",
+ " <td id=\"T_8cd6a_row3_col1\" class=\"data row3 col1\" >1.62</td>\n",
+ " <td id=\"T_8cd6a_row3_col2\" class=\"data row3 col2\" >97.33</td>\n",
+ " <td id=\"T_8cd6a_row3_col3\" class=\"data row3 col3\" >1.62</td>\n",
+ " <td id=\"T_8cd6a_row3_col4\" class=\"data row3 col4\" >1.54</td>\n",
+ " <td id=\"T_8cd6a_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_8cd6a_row4_col0\" class=\"data row4 col0\" >92.95</td>\n",
+ " <td id=\"T_8cd6a_row4_col1\" class=\"data row4 col1\" >2.12</td>\n",
+ " <td id=\"T_8cd6a_row4_col2\" class=\"data row4 col2\" >94.59</td>\n",
+ " <td id=\"T_8cd6a_row4_col3\" class=\"data row4 col3\" >2.85</td>\n",
+ " <td id=\"T_8cd6a_row4_col4\" class=\"data row4 col4\" >1.66</td>\n",
+ " <td id=\"T_8cd6a_row4_col5\" class=\"data row4 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_8cd6a_row5_col0\" class=\"data row5 col0\" >88.30</td>\n",
+ " <td id=\"T_8cd6a_row5_col1\" class=\"data row5 col1\" >2.28</td>\n",
+ " <td id=\"T_8cd6a_row5_col2\" class=\"data row5 col2\" >97.17</td>\n",
+ " <td id=\"T_8cd6a_row5_col3\" class=\"data row5 col3\" >1.77</td>\n",
+ " <td id=\"T_8cd6a_row5_col4\" class=\"data row5 col4\" >1.34</td>\n",
+ " <td id=\"T_8cd6a_row5_col5\" class=\"data row5 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8cd6a_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_8cd6a_row6_col0\" class=\"data row6 col0\" >90.97</td>\n",
+ " <td id=\"T_8cd6a_row6_col1\" class=\"data row6 col1\" >1.99</td>\n",
+ " <td id=\"T_8cd6a_row6_col2\" class=\"data row6 col2\" >98.57</td>\n",
+ " <td id=\"T_8cd6a_row6_col3\" class=\"data row6 col3\" >1.20</td>\n",
+ " <td id=\"T_8cd6a_row6_col4\" class=\"data row6 col4\" >1.49</td>\n",
+ " <td id=\"T_8cd6a_row6_col5\" class=\"data row6 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc2272e9190>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_qos(\"large\", tables_type=\"conso\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_c02e7 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_c02e7 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_c02e7_row0_col0, #T_c02e7_row0_col2 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row0_col4 {\n",
+ " background-color: #f97777;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c02e7_row1_col0, #T_c02e7_row1_col2 {\n",
+ " background-color: #b2f7b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row1_col4 {\n",
+ " background-color: #fb4a4a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c02e7_row2_col0, #T_c02e7_row2_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row2_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c02e7_row3_col0, #T_c02e7_row3_col2 {\n",
+ " background-color: #7dfa7d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row3_col4 {\n",
+ " background-color: #f79897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row4_col0, #T_c02e7_row4_col2 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row4_col4 {\n",
+ " background-color: #fd3030;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c02e7_row5_col0, #T_c02e7_row5_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row5_col4 {\n",
+ " background-color: #f96e6e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c02e7_row6_col0, #T_c02e7_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c02e7_row6_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_c02e7\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_c02e7_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_c02e7_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_c02e7_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_c02e7_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_c02e7_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_c02e7_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_c02e7_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_c02e7_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_c02e7_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_c02e7_row0_col0\" class=\"data row0 col0\" >95.86</td>\n",
+ " <td id=\"T_c02e7_row0_col1\" class=\"data row0 col1\" >5.36</td>\n",
+ " <td id=\"T_c02e7_row0_col2\" class=\"data row0 col2\" >1.73</td>\n",
+ " <td id=\"T_c02e7_row0_col3\" class=\"data row0 col3\" >0.10</td>\n",
+ " <td id=\"T_c02e7_row0_col4\" class=\"data row0 col4\" >31.65</td>\n",
+ " <td id=\"T_c02e7_row0_col5\" class=\"data row0 col5\" >4.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_c02e7_row1_col0\" class=\"data row1 col0\" >87.33</td>\n",
+ " <td id=\"T_c02e7_row1_col1\" class=\"data row1 col1\" >6.14</td>\n",
+ " <td id=\"T_c02e7_row1_col2\" class=\"data row1 col2\" >1.58</td>\n",
+ " <td id=\"T_c02e7_row1_col3\" class=\"data row1 col3\" >0.11</td>\n",
+ " <td id=\"T_c02e7_row1_col4\" class=\"data row1 col4\" >37.60</td>\n",
+ " <td id=\"T_c02e7_row1_col5\" class=\"data row1 col5\" >3.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_c02e7_row2_col0\" class=\"data row2 col0\" >73.19</td>\n",
+ " <td id=\"T_c02e7_row2_col1\" class=\"data row2 col1\" >5.22</td>\n",
+ " <td id=\"T_c02e7_row2_col2\" class=\"data row2 col2\" >1.32</td>\n",
+ " <td id=\"T_c02e7_row2_col3\" class=\"data row2 col3\" >0.09</td>\n",
+ " <td id=\"T_c02e7_row2_col4\" class=\"data row2 col4\" >47.56</td>\n",
+ " <td id=\"T_c02e7_row2_col5\" class=\"data row2 col5\" >3.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_c02e7_row3_col0\" class=\"data row3 col0\" >100.54</td>\n",
+ " <td id=\"T_c02e7_row3_col1\" class=\"data row3 col1\" >5.97</td>\n",
+ " <td id=\"T_c02e7_row3_col2\" class=\"data row3 col2\" >1.82</td>\n",
+ " <td id=\"T_c02e7_row3_col3\" class=\"data row3 col3\" >0.11</td>\n",
+ " <td id=\"T_c02e7_row3_col4\" class=\"data row3 col4\" >27.20</td>\n",
+ " <td id=\"T_c02e7_row3_col5\" class=\"data row3 col5\" >3.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_c02e7_row4_col0\" class=\"data row4 col0\" >80.72</td>\n",
+ " <td id=\"T_c02e7_row4_col1\" class=\"data row4 col1\" >5.69</td>\n",
+ " <td id=\"T_c02e7_row4_col2\" class=\"data row4 col2\" >1.46</td>\n",
+ " <td id=\"T_c02e7_row4_col3\" class=\"data row4 col3\" >0.10</td>\n",
+ " <td id=\"T_c02e7_row4_col4\" class=\"data row4 col4\" >41.05</td>\n",
+ " <td id=\"T_c02e7_row4_col5\" class=\"data row4 col5\" >3.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_c02e7_row5_col0\" class=\"data row5 col0\" >96.79</td>\n",
+ " <td id=\"T_c02e7_row5_col1\" class=\"data row5 col1\" >5.05</td>\n",
+ " <td id=\"T_c02e7_row5_col2\" class=\"data row5 col2\" >1.75</td>\n",
+ " <td id=\"T_c02e7_row5_col3\" class=\"data row5 col3\" >0.09</td>\n",
+ " <td id=\"T_c02e7_row5_col4\" class=\"data row5 col4\" >32.73</td>\n",
+ " <td id=\"T_c02e7_row5_col5\" class=\"data row5 col5\" >3.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c02e7_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_c02e7_row6_col0\" class=\"data row6 col0\" >118.81</td>\n",
+ " <td id=\"T_c02e7_row6_col1\" class=\"data row6 col1\" >5.14</td>\n",
+ " <td id=\"T_c02e7_row6_col2\" class=\"data row6 col2\" >2.15</td>\n",
+ " <td id=\"T_c02e7_row6_col3\" class=\"data row6 col3\" >0.09</td>\n",
+ " <td id=\"T_c02e7_row6_col4\" class=\"data row6 col4\" >15.31</td>\n",
+ " <td id=\"T_c02e7_row6_col5\" class=\"data row6 col5\" >2.67</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc224af7f50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_money_and_energy(\"large\", tables_type=\"conso\", simplified=True)"
]
@@ -128,36 +1219,537 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAACbkAAAJMCAYAAADdIDlaAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeVxU9eL/8fcMq4DgiooC4oKJaFZXLTXX3PJmZl3T2/eaem2xe3NrUcs0vZZmmabdlptldstsz26WS65lmVpmuQIqaiqiouwgMPP7w99MIAMM4+Ac4PV8PHjEnPM55/M5w/lwaD5vPx+T1Wq1CgAAAAAAAAAAAAAAAAAAAzJ7ugEAAAAAAAAAAAAAAAAAAJSEkBsAAAAAAAAAAAAAAAAAwLAIuQEAAAAAAAAAAAAAAAAADIuQGwAAAAAAAAAAAAAAAADAsAi5AQAAAAAAAAAAAAAAAAAMi5AbAAAAAAAAAAAAAAAAAMCwCLkBAAAAAAAAAAAAAAAAAAyLkBsAAAAAAAAAAAAAAAAAwLAIuQEAAAAAAAAAAAAAAAAADIuQGwAAAAAAAIAKsXTpUt10000KDg6WyWSSyWTSwoULJUkjR46UyWTSyJEjPdpGAAAAAAAAGB8hNwAAAAAAAKACPP300/Zg1+VfAQEBatmype699159//33nm5qhZg/f75Gjx6tbdu2KTs7W6GhoWrQoIECAwPLPPbtt9/W008/rU2bNlV8QwEAAAAAAGB43p5uAAAAAAAAAFDVNWjQwP69xWJRSkqKEhISlJCQoHfeeUczZszQ008/7bkGVoAXXnhBkjRu3Di98MIL8vHxKbK/UaNGatWqlRo1alTs2LffflubN2+WJPXo0aPC2woAAAAAAABjYyY3AAAAAAAAoIIlJSXZv5KTk5Wbm6vvvvtON9xwgyRp5syZVWpGtzNnzigpKUmSdN999xULuEnSnDlzdODAAc2ZM+dqNw8AAAAAAACVDCE3AAAAAAAA4Crz8vJSly5d9Pnnn9u3rVy50nMNcrOsrCz790FBQR5sCQAAAAAAAKoCQm4AAAAAAACAhzRp0kR169aVJGVkZDgsk5OTo0WLFql79+6qV6+efH191bBhQw0ePFirV68u8dwmk0kmk0mbNm1Senq6pk2bpmuuuUY1atRQ3bp19ec//1k//vhjmW3ctGmThg8froiICPn7+yskJEQdO3bUvHnzlJmZWaysyWRS06ZN7duioqLsbSm8feTIkTKZTBo5cqR929tvvy2TyWRfqnTmzJn2Y21fiYmJ9vLZ2dl64YUXdNNNN6l27dry8fFR/fr1FRMTo3vvvVeffPJJmdcHAAAAAAAA4/P2dAMAAAAAAACA6urEiRM6d+6cJKlVq1bF9sfHx2vgwIGKj4+XdCm4FhwcrNOnT2vlypVauXKlxo4dq1deeaXEOk6dOqXrr79eCQkJ8vf3l9lsVkpKilatWqW1a9fqf//7n/r161fsuPz8fI0dO1ZLliyxbwsKClJmZqZ27NihHTt26K233tKaNWsUGRkpSfL19VWDBg1UUFCgs2fPSpLq1asnLy8vSVL9+vVLfT9q1KihBg0aKCUlRXl5eQoMDCw2E5ztXOnp6br55pu1e/du+3sTEhKiCxcu6OzZs9q/f782b96sO++8s9Q6AQAAAAAAYHzM5AYAAAAAAABcZQUFBfrhhx90xx13SJJCQ0M1YsSIImUuXLigvn37Kj4+Xr169dKWLVuUnZ2tCxcu6MKFC3rxxRcVFBSkV199VS+99FKJdf3jH/+Qr6+vNmzYoMzMTGVkZGj79u1q1aqV8vLy9MADD8hisRQ77tFHH9WSJUvUoEEDvfLKKzp37pzS09OVnZ2tjRs36rrrrtPBgwc1ZMgQ+/GdO3dWUlKSduzYYT/Pjh07lJSUVGy7I3fffbeSkpLUuXNnextsx9q+wsPDJUkvvfSSdu/erTp16uiTTz5Rdna2zp8/r9zcXJ04cULvvPOO+vbt68RPAwAAAAAAAEZHyA0AAAAAAACoYA0bNrR/hYaGys/PT507d9bBgwd1zz33aPv27apVq1aRY5555hklJiaqV69eWrNmjW6++Wb5+flJkkJCQjRx4kS98847kqTZs2crPz/fYd3e3t7auHGjevbsKbPZLJPJpA4dOuijjz6SJB09elQ//PBDkWP27NmjRYsWKSAgQOvWrdPYsWNVp04dSZKPj4969OihzZs3q0mTJvr555/1xRdfuPPtcsr3338v6VIQbsiQIfb3xmw2KywsTH/729/0n//856q3CwAAAAAAAO5HyA0AAAAAAACoYKdPn7Z/nTlzRgUFBZKkrKwspaam6vTp00XKW61WvfXWW5KkRx55RN7e3g7PO3jwYAUHB+vs2bP66aefHJa5//77FRoaWmx727ZtFRUVJUn69ddfi+x78803ZbVaNXDgQLVt29bheWvWrKnBgwdLktasWVPClVccWyjw1KlTV71uAAAAAAAAXF2OPx0DAAAAAAAA4DZWq7XI65ycHB04cEAvv/yy3nzzTa1bt04rVqywh8b27dunlJQUSdLIkSNlNpf8b1UzMjIkXZqRrVOnTsX2O9pmExYWpiNHjtjrsvnuu+8kSV9//bUaNmzoVN1X25///Ge9//77evnll3XmzBndfffd6tq1q+rVq3fV2wIAAAAAAICKRcgNAAAAAAAAuMr8/f3Vvn17LVmyRCkpKfrss880cuRIHTt2TMHBwTp58qS97JkzZ5w6Z1ZWlsPtNWvWLPEY2wxxeXl5Rbbb6s/IyLAH2VypuyL99a9/1fbt27V48WKtWLFCK1askCS1aNFCffv21ejRo3XDDTdc9XYBAAAAAADA/ViuFAAAAAAAAPCg++67T5KUmpqqr776SpLsy5lKUlJSkqxWa5lfI0eOdFubbPXPnTvXqbo3bdrktrrLY+HChTp48KCeffZZDRgwQLVq1VJCQoJeeeUV/elPf9KECRM80i4AAAAAAAC4FyE3AAAAAAAAwIMiIyPt3x85ckSSiiwR+ttvv131Ntnq90Td5dWiRQtNnTpVX331lc6dO6cffvjBvuzrSy+9pC+++MKzDQQAAAAAAMAVI+QGAAAAAAAAeNDvv/9u/z4wMFCSFBsbq+DgYEmyL8N5NXXp0kWStGrVKqeWK3U3s/nSx5ZWq7Xcx9144436+OOPFRERIUlat26d29sHAAAAAACAq4uQGwAAAAAAAOBBy5cvt3//pz/9SZLk7e2t0aNHS5KWLVum7777rtRzpKSkuLVN9913n0wmky5cuKDHHnus1LJ5eXluD8LZAn4XLlwosUxubm6J+7y8vOTr62v/HgAAAAAAAJUbITcAAAAAAADAA5KSkjRt2jQtW7ZMknTjjTfqpptusu9/6qmn1Lx5c+Xn56t///568cUXdebMGfv+1NRUrV69Wvfee69uvvlmt7atffv2mjBhgiTptdde01/+8hf98ssv9pnVCgoKtHv3bv3rX/9S8+bN9csvv7i1/tjYWEnSV199pRMnTjgs06lTJ40bN06bNm1SZmamffvJkyf18MMPKyEhQZJ06623urVtAAAAAAAAuPq8Pd0AAAAAAAAAoKpr2LBhkdc5OTlKTU21v27btq0++eQTmUwm+7Y6depo3bp1uuOOO7R792498sgjeuSRR1SrVi1ZLBalpaXZy7Zo0cLtbX7++edltVq1cOFCffzxx/r444/l7++vwMBApaamKj8/3162cLvd4d5779X8+fOVkJCgiIgI1a9fX/7+/pKk7777Tk2aNNGFCxe0ePFiLV68WCaTSSEhIcrLyysSeJs4caL69u3r1rYBAAAAAADg6iPkBgAAAAAAAFSw06dPF3nt4+Ojhg0b6tprr9Vdd92lESNG2JfXLCwqKko7d+7U+++/rw8//FA//fSTzp49Ky8vL0VFRal9+/a67bbbdNttt7m9zV5eXlqwYIFGjBih1157TZs3b9bvv/+u1NRU1a5dW9HR0erTp48GDx6sa6+91q11t2zZUhs3btScOXP0448/6ty5c/ZQne2/K1as0Nq1a7VlyxYdOXJESUlJys/PV2RkpG688Ubdf//96tWrl1vbBQAAAAAAAM8wWW1rDAAAAAAAAAAAAAAAAAAAYDBmTzcAAAAAAAAAAAAAAAAAAICSEHIDAAAAAAAAAAAAAAAAABgWITcAAAAAAAAAAAAAAAAAgGERcgMAAAAAAAAAAAAAAAAAGBYhNwAAAAAAAAAAAAAAAACAYRFyAwAAAAAAAAAAAAAAAAAYlrenG4Dys1gsOnnypGrWrCmTyeTp5gAAAAAAAAAAAAAAAABAuVmtVqWnpyssLExmc8nztRFyq4ROnjyp8PBwTzcDAAAAAAAAAAAAAAAAAK7Y8ePH1aRJkxL3E3KrhGrWrCnp0g83ODjYw60BAAAAAAAAAAAAAAAAgPJLS0tTeHi4PQ9VEkJulZBtidLg4GBCbgAAAAAAAAAAAAAAAAAqNVseqiQlL2QKAAAAAAAAAAAAAAAAAICHEXIDAAAAAAAAAAAAAAAAABgWITcAAAAAAAAAAAAAAAAAgGERcgMAAAAAAAAAAAAAAAAAGBYhNwAAAAAAAAAAAAAAAACAYRFyAwAAAAAAAAAAAAAAAAAYFiE3AAAAAAAAAAAAAAAAAIBheXu6AQAAAAAAAAAAAAAAAADKlpeXp4KCAk83AyjGbDbLx8dHJpOpQs5PyA0AAAAAAAAAAAAAAAAwsLS0NJ09e1a5ubmebgpQIi8vLwUEBCg0NFS+vr5uPTchNwAAAAAAAAAAAAAAgFIsWBcnL7NJ43q3LLZv0fp4FVismtgn2gMtQ3WQlpamEydOKCgoSPXq1avQ2bIAV1itVhUUFCg7O1upqalKTExUkyZNFBAQ4LY6CLkBAAAAAAAAAAAAAACUwsts0ovr4iSpSNBt0fp4vbguTpMIuKECnT17VkFBQWrSpAnhNhhaUFCQ6tSpo6NHj+rs2bOKiIhw27kJuQEAAAAAAAAAAAAAAJTCFmwrHHQrHHBzNMMb4A55eXnKzc1VvXr1CLihUvDy8lKdOnV06tQp5efny9vbPfE0Qm4AAAAAAAAAAAAAAABlKBx0e3lDgi4WWAi4ocIVFBRIknx8fDzcEsB5fn5+kuTWkJvZLWcBAAAAAAAAAAAAAACo4sb1bilfL7MuFljk62Um4IarhlncUJlUxP1KyA0AAAAAAAAAAAAAAMAJi9bH2wNuFwssWrQ+3tNNAoBqgeVKAQAAAAAAAAAAAAAAyrBofbxeXBdnX6LU9loSM7oBQAUj5AYAAAAAAAAAAAAAAFCKywNu0h/BNoJuAFDxCLkBAAAAAAAAAAAAAACUosBiLRJws7G9LrBYPdEsABWkadOmOnr0qI4cOaKmTZt6ujkQITcAAAAAAAAAAAAAAIBSTewTXeI+ZnADjMEWTFu6dKlGjhzp6ebAzcyebgAAAAAAAAAAAAAAAAAA17Vr104///yzw30LFixQq1attGDBAof7f/75Z7Vr10533HGHsrKyiu3PysrSHXfcUaF1AGUxWa1W5sysZNLS0hQSEqLU1FQFBwd7ujkAAAAAAAAAAAAAAACoADk5OTpy5IiioqLk7+/v6eYYmjtncmO50itTnvvW2RwUM7kBAAAAAAAAAAAAAAAAAAyLkBsAAAAAAAAAAAAAAACAKmvVqlXq37+/6tWrJz8/P0VFRemhhx7S8ePHyzx2zZo16tGjh0JCQhQcHKw+ffro22+/dVg2MzNTs2bNUrt27RQYGCh/f3+Fh4erR48emjt3rvLy8tx9adUGITcAAAAAAAAAAAAAAAAAVdLUqVP15z//WWvWrFGNGjXUtm1bJScn69VXX9W1116rnTt3lnjsihUrNGDAAP3222+Kjo6Wr6+vvvnmG/Xo0UMfffRRkbL5+fm65ZZbNGPGDO3du1fh4eFq27atLBaLvv32W02dOlWZmZkVfblVFiE3AAAAAAAAAAAAAAAAAFXOl19+qblz58rb21vvvvuujh8/rp07d+rUqVO64447dP78ef3lL39Rdna2w+OfeuopTZw4UUlJSdqxY4eSkpL0+OOPy2KxaMyYMTp16pS97MqVK7Vt2zZde+21Onr0qA4cOKAdO3boxIkTSkpK0sKFC+Xr63u1Lr3KIeQGAAAAAAAAAAAAAAAAVAFWq1Xjxo1Tq1attHLlSodlVq5cqVatWmncuHGyWq3F9v/++++6+eabdfPNN+vEiRMVUsfVMnfuXEnSP/7xD91zzz327cHBwXr33XdVr149JSYm6v3333d4fJs2bTR//nz5+PhIkry9vfXcc8/p+uuvV1paml577TV72fj4eEnS6NGj1aRJkyLnqV+/vsaPH6+AgAC3Xl91QsgNAAAAAAAAAAAAAAAAqAL279+vxYsXKy4uTpMnT3ZY5vHHH1dcXJwWL16s/fv3F9u/ZMkSfffdd/ruu++0ZMmSCqnjasjIyNAPP/wgSXr44YeL7Q8ICNB9990nSVq7dq3Dczz00EOlbl+zZo19W3h4uCRp1apVysrKcr3hcIiQGwAAAAAAAAAAAAAAAFAFREREKDIyUpLUt29fh2X69esnSYqMjFRERESx/TfffLO8vLzk5eWlrl27VkgdV0NCQoIsFov8/PzUrFkzh2XatGkjSYqLi3O4v3Xr1qVuL3zc4MGD1bRpU61du1ZhYWEaNmyY/v3vf2vv3r1Xchn4/wi5AQAAAAAAAAAAAAAAAFVAUFCQ9uzZo7179+qll15yWOall17S3r17tWfPHgUFBRXb37t3byUmJioxMVG9e/eukDquhoyMDEmXlgo1mUwOyzRo0ECSlJ6e7nB/aGio08cFBgbq22+/1ahRo2SxWPTBBx/on//8p2JjY9WmTRt9+eWXLl8LCLkBAAAAAAAAAAAAAAAAVUZQUJBiYmJKDHaZTCbFxMSUGj5r0qSJmjRpUqF1VDRb3WfOnJHVanVY5vTp05KkmjVrOtx/5swZh9uTk5MdHtekSRO99dZbSklJ0bZt2zR37lz96U9/0r59+zR48GD9+OOPLl0LCLkBAAAAAAAAAAAAAAAAqGJatGghs9ms3NxcHT582GEZ21Ki0dHRDvfv37+/1O0lHeft7a1OnTpp8uTJ2rFjh4YNG6aCggK99dZb5b0M/H+E3AAAAAAAAAAAAAAAAABUKUFBQercubMkafHixcX2Z2dna8mSJZKkfv36OTzHK6+8Uur2vn37OtWWG2+8UZJ08uRJp8qjOEJuAAAAAAAAAAAAAAAAAKqcyZMnS7oUSlu+fLl9e3p6ukaMGKEzZ86oadOmGjZsmMPj9+zZo8cff1x5eXmSpPz8fD3xxBP66aefVLNmTT344IP2sgsWLNDChQvtS6DaHDt2zB6mu/766916fdUJITcAAAAAAAAAAAAAAACgEpszZ47S09Md7tu9e7dmzJih3bt3O9yfnp6uOXPmaMWKFSWef8WKFRVeR0X485//rClTpigvL0/33HOPIiIi1KFDBzVq1Egff/yxateurQ8//FA1atRwePy//vUvvfDCC2rUqJE6duyoRo0aac6cOTKbzfrPf/6jsLAwe9mjR49q4sSJatiwoaKiotSpUye1bt1azZo10549exQbG6tJkyZdrUuvcrw93QAAAAAAAAAAAAAAAAAArnviiSd0/PjxYstrWiwW9erVSykpKXr55Zd15swZmc1F58SaPHmyXn31VUlSw4YN1aNHjyL7N27cqOHDh0tShdXhDgUFBZIkX1/fItvnzJmjLl26aNGiRdq5c6dOnz6tRo0a6W9/+5ueeOIJhYeHl3jOYcOG6brrrtOzzz6rXbt2yWq1qlevXpoxY4a6detWpOyDDz6o2rVra8OGDTp06JB++eUX1a5dWx06dNA999yjv//97yWG6VA2k9VqtXq6ESiftLQ0hYSEKDU1VcHBwZ5uDgAAAAAAAAAAAAAAACpATk6Ojhw5oqioKPn7+3u6OYYWHBys9PR0rVq1Srfeequnm1Otlee+dTYHxXKlAAAAAAAAAAAAAAAAACqtxMRE+1KqrVu39nBrUBEIuQEAAAAAAAAAAAAAAAColC5evKjJkydLktq0aaOoqCgPtwgVoVKE3KxWqz799FP17NlTjRo1UkBAgFq1aqUHHnhAhw8fLlY+LS1NkyZNUmRkpPz8/BQZGalJkyYpLS2txDqWL1+ujh07KjAwULVr19att96qnTt3llg+Pj5eQ4cOVf369VWjRg21a9dOL7/8siwWi8Pyubm5mjVrlqKjo+Xv769GjRppzJgxSkpKKv8bAgAAAAAAAAAAAAAAAFRjCQkJ6tSpk+rXr68PP/xQXl5eeuGFFzzdLFSQShFye/TRR3XnnXfq4MGDGjx4sB5++GFFRUXpjTfeUPv27bVnzx572czMTHXv3l0LFixQq1atNHHiRMXExGjBggXq3r27MjMzi53/2Wef1T333KPTp0/rwQcf1NChQ7V161Z16dJFmzZtKlZ+37596tChgz7//HP169dP48aNkyQ9/PDDevDBB4uVt1gsuv322zVjxgzVqVNHEyZMUNeuXbV06VJ16tSJoBsAAAAAAAAAAAAAAABQDhkZGdqxY4fMZrP69u2rb775Rv379/d0s1BBTFar1erpRpQmKSlJjRs3VkREhHbv3q3g4GD7voULF2rixIkaNWqU3nrrLUnSjBkzNGvWLD3++ON67rnn7GVt26dPn66ZM2fat8fHxysmJkbNmjXT9u3bFRISIknau3evOnbsqEaNGunAgQPy9va2H9O9e3dt2bJFq1at0q233ipJysvL04ABA7R+/Xpt2LBBPXv2tJdfunSpRo8erWHDhmn58uUymUxFto8YMULLli1z+j1JS0tTSEiIUlNTi7wfAAAAAAAAAAAAAAAAqDpycnJ05MgRRUVFyd/f39PNAZxSnvvW2RyU4WdyS0xMlMViUZcuXYpdyMCBAyVJycnJki4ta7pkyRIFBQVp+vTpRcpOnTpVtWvX1ptvvqnCub6lS5cqPz9fTz75pD3gJl1ao3fEiBE6dOiQNmzYYN8eFxenLVu2qGfPnvaAmyT5+PjomWeekSS98cYbReq2vZ47d6494CZJo0aNUuvWrfXBBx8oPT29/G8OAAAAAAAAAAAAAAAAAFRxhg+5tWzZUr6+vtq6dWuxINhXX30lSerVq5ekS7OynTx5Ul26dFFgYGCRsv7+/urWrZtOnDihhIQE+3bbcqR9+/YtVne/fv0kSZs3b3aqfMeOHVWrVq0i5XNycvTjjz+qVatWioyMLHZM3759lZubq23btpX4HgAAAAAAAAAAAAAAAABAdeVddhHPqlu3rp555hk99thjat26tQYNGqSaNWvqt99+0zfffKP7779fDz/8sKRLITfpUjDOEdv2+Pj4It8HBQWpYcOGpZa3Ka0Ok8mkFi1aaOfOncrKylJAQIAOHToki8XiVJv69OnjsExubq5yc3Ptr9PS0iRdWiI1Ly/P4TEAAAAAAAAAAAAAAACo3PLy8mS1WmWxWGSxWDzdHMApFotFVqtVeXl58vLyKrWss9knw4fcJOnRRx9VWFiYHnjgAb366qv27Z07d9b//d//ycfHR5KUmpoqSUWWHS3MttyprZzt+9DQ0HKVd7aOgIAAl9p0uTlz5mjmzJnFtq9du1YBAQElHgcAAAAAAAAAAAAAAIDKy9vbWw0bNlRGRoYuXrzo6eYATrl48aKys7O1ZcsW5efnl1o2KyvLqXNWipDb7NmzNWvWLD399NMaMWKEateurV9++UWTJk1Sz5499eGHH2rIkCGebmaFmTp1qiZNmmR/nZaWpvDwcPXt29cekgMAAAAAAAAAAAAAAEDVkpOTo+PHjysoKEj+/v6ebg7glJycHNWoUUPdunUr8761rWhZFsOH3DZs2KCnnnpKEydO1BNPPGHf3qVLF3355Zdq1qyZJk6cqCFDhthnSytpVjTbm1J4VrWQkJByl3emDlv4zJU2Xc7Pz09+fn7Ftvv4+NhnsQMAAAAAAAAAAAAAAEDVUlBQIJPJJLPZLLPZ7OnmAE4xm80ymUxOZZuczT4Z/u5ftWqVJKlnz57F9tWvX19t27bVsWPHdPbsWbVs2VKSFB8f7/Bctu22crbvMzIylJSU5HT5kuqwWq1KSEhQWFiYAgMDJUnNmzeX2WwuV5sAAAAAAAAAAAAAAAAAAJcYPuRmW0/4zJkzDvfbtvv5+ally5YKCwvT1q1blZmZWaRcTk6OtmzZorCwMLVo0cK+vXv37pKktWvXFjv3mjVripSRpB49epRYfvv27bpw4UKR8v7+/urYsaMOHjyoo0ePFjtm7dq18vPzU6dOnRxeHwAAAAAAAAAAAAAAAABUZ4YPuXXp0kWS9OKLLxZb8nPZsmVKSEjQDTfcoJo1a8pkMmnMmDHKyMjQrFmzipSdM2eOzp8/rzFjxshkMtm3jxo1St7e3nrmmWeKnH/v3r1655131Lx5c/Xq1cu+PTo6Wt26ddPGjRv11Vdf2bfn5eVp2rRpkqT77ruvSN3333+/JGnKlCmyWq327UuXLtX+/ft1991325c3BQAAAAAAAAAAAAAAAAD8wWQtnLoyoIKCAt1yyy3atGmT6tevr0GDBql27dravXu31q1bJz8/P33zzTfq2rWrJCkzM1Ndu3bVL7/8oj59+uiGG27Q7t279fXXX6t9+/b67rvv7EuJ2jzzzDOaNm2aIiIidNdddykzM1Pvv/++srOztWbNmmJLpe7bt0+dO3dWdna2hg4dqrCwMK1evVq//vqrxowZozfeeKPYNQwcOFBr1qxRp06d1KNHDx0+fFiffPKJGjdurO3bt6thw4ZOvydpaWkKCQlRamoq4TgAAAAAAAAAAAAAAIAqKicnR0eOHFFUVJT8/f093RzAKeW5b53NQRk+5CZJubm5eumll/TBBx/owIEDunjxoho0aKDu3btr6tSpio2NLVI+NTVVM2fO1Mcff6ykpCQ1bNhQd911l2bMmKGQkBCHdbz33ntauHCh9u7dK19fX910002aNWuWOnTo4LB8XFycnnzySW3cuFEZGRlq0aKFHnjgAf3jH/+Q2Vx8grzc3Fw999xz+u9//6tjx46pdu3aGjhwoGbPnq1GjRqV6/0g5AYAAAAAAAAAAAAAAFD1EXKrXnr06KHNmzdr48aN6tGjh6eb47JqG3JDUYTcAAAAAAAAAAAAAAAAqj5CbuVz7NgxLVy4UGvXrtWRI0dksVhUv359NWnSRF26dNEtt9yifv36ebqZJSLkVnIOqviUYwAAAAAAAAAAAAAAAAAqldmzZ8tkMmn27NlKT09Xly5dFBISou3btzt1/OXHbN++XSEhIerSpYvS09OdOsflxxRuU0XbsGGDYmNjtWDBAh04cEChoaFq166d/Pz8tG3bNr3wwgu65557KrwdVyIiIkKtWrVSQECAp5tiON6ebgAAAAAAAAAAAAAAAAAA182ePVtPPfWU/vWvf2natGmSpNWrV6t///7q06eP1q1bp44dO5Z4fHp6uvr37689e/YUKbtu3Tr16dNH/fv31+rVq1WzZs0Sz7F9+3b16dNHsbGx9rK2tjz11FOSZH/tbmlpabr77ruVnp6ugQMH6t///rciIyPt+y9cuKCVK1fqww8/rJD63eWdd97xdBMMi+VKKyGWKwUAAAAAAAAAAAAAAKj6nF320WQyFQm42ZQUXitPGUfhtcuVVcZRCM+dVqxYoeHDhys4OFinTp1iJjQPY7lSAAAAAAAAAAAAAAAAAEWUFB6rWbOmVq9erdjYWPXp06fY0qXOhOA6duyodevWac+ePerfv3+xpUudCcFNmzZN//rXv/TUU09VyNKlhw8fliRFR0eXO+BmtVq1YsUK9enTR3Xr1pWfn5+aNWumcePGKSkpqVj5TZs2yWQyqUePHsrPz9e8efPUtm1bBQQEqGnTptq7d69MJpPq1KmjixcvlljvDTfcIJPJpC+++MK+rUePHjKZTNq0aZPDY3bs2KH/+7//U0REhPz8/NSgQQN17txZ8+bNU2pqarHyv//+u8aNG6fo6GjVqFFDtWrVUs+ePfXxxx87PH9mZqZmzZqldu3aKTAwUP7+/goPD1ePHj00d+5c5eXllfFuVhxCbgAAAAAMZcG6OC1aH+9w36L18VqwLu4qtwgAAAAAAAAAAGMrbXa0koJuzgTcbEoKujkTcCvcRlvQzd1sM4DFx8frwoULTh+Xl5enu+++W8OHD9c333wjf39/tW7dWqdPn9bixYt1/fXXKy7O8biE1WrV4MGDNXnyZGVnZysmJkZBQUFq06aN2rZtq/Pnz2vNmjUOj42Li9PPP/+s2rVrq3///k61dd68eerUqZPee+89paamqm3btqpZs6Z27typyZMna9euXUXKb968WbGxsVq8eLF+//13tWzZUsHBwdq0aZP+8pe/6NFHHy1SPj8/X7fccotmzJihvXv3Kjw8XG3btpXFYtG3336rqVOnKjMz06m2VgRCbgAAAAAMxcts0osOgm6L1sfrxXVx8jKbPNQyAAAAAAAAAAAqp8uDbuvXr3c64GZzedBt/fr1TgfcbGxBN3fr27evzGazUlNTdcstt+iTTz5xOLPZ5aZPn66PPvpI1113nXbt2qUTJ07ol19+0dmzZ/XQQw/p1KlTuueeexweu3XrVu3YsUPff/+9EhIStHPnTu3cuVOS9Ne//lWS9P777zs81rb9zjvvlK+vb5ntXLlypSZPniyz2az58+fr7Nmz2rlzpxISEnThwgX95z//UYMGDezlT548qSFDhigtLU3PPvuszp8/r19//VXHjh3T1q1b1bhxY82fP19ffvllkTq2bduma6+9VkePHtWBAwe0Y8cOnThxQklJSVq4cKFTba0ohNwAAAAAGMq43i01qU90kaCbLeA2qU+0xvVu6eEWAgAAAAAAAABQ+diCbk2bNtUtt9yi77//3umAm40t6Pb999/rlltuUdOmTZ0OuNmUNuucq6Kjo+3huZ9++kl33XWXateurWuuuUajRo3SBx98oNzc3CLHnDlzRgsWLFBwcLC++OILtW/f3r6vRo0aWrx4sTp06KCdO3fq22+/LVZnQUGBXn31Vd100032bf7+/pKk4cOH25cizcrKKnbsihUr7OWc8cQTT0iSZsyYoUmTJsnHx8e+LyAgQPfdd59at25t3zZ//nylpKRowoQJmjp1qvz8/Oz7OnfurNdee02StGDBAvv2+PhLYzKjR49WkyZNitRfv359jR8/vtxLwboTITcAAAAAhlM46Bb95NcE3AAAAAAAAAAAQKmeeOIJbdiwQbfeeqt8fX1ltVp18OBBvf322xo2bJiio6O1adMme/mvvvpKubm56tevX7FQlySZzWb9+c9/lnRp6c/LhYSE6Pbbb3fYlsjISHXu3FmZmZn64osviuzbtWuXDhw4oEaNGqlHjx5lXldCQoL27dsnX19fTZgwoczykvTpp59KksaMGeNwf//+/eXr66vvv/9e+fn5kqTw8HBJ0qpVqxwG8zzN29MNAAAAAABHxvVuqZc3JOhigUW+XmYCbgAAAAAAAAAAXIH09HT1799fiYmJ+uabbzR9+nT16dOnXLO5bd++XX369FHnzp01a9YsDRkyRP379y/XbG6zZ8+ukNncJKlnz57q2bOnsrOztXPnTv3444/66quvtGnTJh07dky33nqrfv75Z11zzTX67bffJEnbtm1T165dHZ7v9OnTkqQTJ04U29eyZUt5eXmV2Ja//vWv2rp1q95//30NGzbMvt22VOndd98ts7ns+cn2798vSYqJiXHqPc7IyFBiYqIk6f777y+1bE5Ojs6dO6cGDRpo8ODBatq0qdauXauwsDD1799fN998s3r06KE2bdqUWW9FYyY3AAAAAIa0aH28PeB2scBiX7oUAAAAAAAAAACUjy3gtmfPHq1bt069e/fW6tWrFRsbqz59+mj79u1lnsMWcIuNjdXq1avVu3dvrVu3Tnv27FH//v2Vnp5e5jlmz56tp556yh2XVKoaNWro5ptv1qOPPqoNGzZoy5YtCgwMVHZ2tubPny9JSk1NlSQdP35cW7dudfiVkJAgScrOzi5WR2BgYKltGDp0qLy9vbV69WqdP39ekmS1WvXBBx9IuhSCc0ZaWpokqVatWk6Vt12XpBKva+vWrbp48aKkP64tMDBQ3377rUaNGiWLxaIPPvhA//znPxUbG6s2bdroyy+/dKr+ikLIDQAAAIDhLFofb1+iNO6ZAfalSwm6AQAAAAAAAABQ3OzZs0vcd3nAzTZrW82aNZ0Oul0ecLPNKNaxY0eng262gNu//vUvF6/SdV27dtVDDz0kSfbrDAoKkiQ9+eSTslqtpX69/fbb5a6zXr16uuWWW3Tx4kX78qFbt27VsWPH1KJFC3Xo0MGp89je6wsXLjhV3nZdknTx4sUyr61p06b28k2aNNFbb72llJQUbdu2TXPnztWf/vQn7du3T4MHD9aPP/7o3MVXAEJuAAAAAAylcMDNtkTpuN4tCboBAAAAAAAAAFCCp556ymHQraSAm40zQbeSAm42zgTdCgfcKmqp0rI0a9ZMkuwzmMXExEiS9uzZU2F12mZrW758eZH/Dh8+3Olz2JYK3bdvn1Oz5YWEhCgsLEyStHfv3nK118bb21udOnXS5MmTtWPHDg0bNkwFBQV66623XDqfOxByAwAAAGAoBRZrkYCbjS3oVmCxeqhlAAAAAAAAAAAY07/+9a9iQbeyAm42pQXdygq42ZQWdLsaAbezZ8/Kai19/OD777+XJLVseWn8YeDAgfL19dVXX32l+PiK+Qf2d9xxh2rUqKFNmzbp+PHj+vjjjyWVL+TWvHlzxcbG6uLFi1q0aJFTxwwZMkSStHDhwnK32ZEbb7xRknTy5Em3nM8VhNwAAAAAGMpEBwE3m3G9W2pin+ir3CIAAAAAAAAAAIxt2rRpRYJuzgbcbBwF3ZwNuNk4CrpdrRnc3n33XbVv315vvPGGzp07V2TfhQsXNH36dL377ruSpFGjRkmSwsLCNGHCBOXl5alfv37atGlTkeOsVqu2b9+usWPH6vDhwy61KygoSLfddpssFovuv/9+nTlzRu3bt1fr1q3LdR5bePHpp5/WokWLlJeXZ9+XlZWlJUuWaP/+/fZtkydPVp06dbRs2TJNmjSp2FKnKSkpeuutt4qEIhcsWKCFCxfq9OnTRcoeO3ZMS5YskSRdf/315Wq3O5msZcUYYThpaWkKCQlRamqqgoODPd0cAAAAAAAAAAAAAAAAVICcnBwdOXJEUVFR8vf3L7O8LVQmScHBwU4F3AqzheNss5517tzZqYBbYbZwXFpamiRdlSVKX3rpJU2YMMH+OioqSvXr19f58+d19OhR+xKljz76qJ5//nl7ufz8fI0aNcoegGvYsKEiIiKUm5urw4cP22ek279/v6655hpJ0qZNm9SzZ0917969WDDOkZUrV2rw4MH2188995wef/xxh2V79OihzZs3a+PGjerRo0eRfXPnztUTTzwhq9WqkJAQtWzZUqmpqUpMTFReXl6xY7Zu3arBgwfr7Nmz8vHx0TXXXKOAgACdOXNGR44ckdVq1d13360VK1ZIkiZMmKCXXnpJktS0aVOFhoYqLS1N8fHxKigoUGxsrL777juFhISUec3luW+dzUExkxsAAAAAAAAAAAAAAABQBYwfP97+fY8ePcoVcJMuzeg2a9Ys++tZs2aVK+AmXZrRrXDYqnCbKspDDz2kDRs26LHHHlPnzp1VUFCgX375RSdOnFBkZKRGjBihb7/9tkjATZK8vb313//+V6tWrbIH0Xbt2qVTp04pOjpa//znP7Vp0yZFR7u+ysyAAQNUu3ZtSZLJZNKwYcNcOs+UKVP0/fffa+jQoQoICNDu3buVlpamDh066Pnnny82y1qXLl20b98+Pfnkk4qJidGRI0f066+/ymw2q3///nrllVfsoTZJevDBB/X000+rW7duysvL0y+//KLz58+rQ4cOWrx4sbZv3+5UwK2iMJNbJcRMbgAAAAAAAAAAAAAAAFVfeWdyA4yAmdwAAAAAAAAAAAAAAAAAANUKITcAAAAAAAAAAAAAAAAAgGERcgMAAAAAAAAAAAAAAAAAGBYhNwAAAAAAAAAAAAAAAACAYbkccrNare5sBwAAAAAAAAAAAAAAAAAAxbgccmvSpImmTJmi/fv3u7M9AAAAAAAAAAAAAAAAAADYuRxyO3XqlJ5//nnFxsbqxhtv1GuvvaYLFy64sWmAsS1YF6dF6+Md7lu0Pl4L1sVd5RYBAAAAAAAAAAAAAAAAVY/LIbcdO3booYceUp06dbR9+3b94x//UKNGjTRs2DCtXr2a5UxR5XmZTXrRQdBt0fp4vbguTl5mk4daBgAAAAAAAAAAAAAAAFQdLofcbrjhBi1evFinTp3SJ598ottuu00Wi0UffvihBg4cyHKmqPLG9W6pSX2iiwTdbAG3SX2iNa53Sw+3EAAAAAAAAAAAAAAAVAVMNoXKpCLuV5PVjWc9d+6c3nvvPS1btky7du26VIHJpD/96U8aNWqUhg0bplq1armrumorLS1NISEhSk1NVXBwsKebU+3Zgm2+XmZdLLAQcAMAAAAAAAAAAAAAAG5x8eJFHTp0SOHh4QoKCvJ0cwCnZGRk6Pjx42revLl8fX1LLetsDsrlmdwcqVu3rsaNG6effvpJv/32m8aPHy8vLy/t3LnTvpzp8OHD9e2337qzWsCjxvVuaQ+4+XqZCbgBAAAAAAAALlpQaNWEyy1aH68F6+KucosAAAAAwLN8fHzk5eWl7OxsTzcFcFp6erp8fHzk4+PjtnO6NeRms2/fPi1btkwffvih8vPzZbVaVbduXUnSBx98oB49eujWW2/V+fPnK6J64KpatD7eHnC7WGAp8UM4oDrhA2kAAAAAAOAKL7NJLzr4XMG2moKX2eShlgEAAACAZ5hMJgUEBCg1NVUFBQWebg5QpuzsbKWlpalmzZoymdz3//He7jrRuXPn9P7772vZsmX6+eefZbVa5eXlpYEDB2r06NG67bbblJmZqXfffVfz5s3TmjVrNGnSJC1dutRdTQCuOtuHa7YlSm2vJTGjG6o12wfSUtG+ULjPAAAAAAAAXM72OULhzxUu/wwOAAAAAKqb0NBQJSYm6ujRo6pTp478/PzcGh4CrpTValVBQYHS09OVlpYmPz8/1atXz611mKxWq9XVg/Pz87Vq1SotW7ZMX331lfLy8mS1WhUdHa1Ro0bp3nvvVcOGDYsdl5KSohYtWsjb21vJyclXdAHVkbNr0aJilfThGh+6AZeUFAKlbwAAAAAAgLLYPkewrZ7A5wkAAAAAqrusrCydPXtWmZmZnm4KUCIfHx/VrFlT9erVk5eXl1PHOJuDcnkmt/Hjx+v999/XuXPnZLVaFRQUpHvuuUejR49Wly5dSj22Tp06io2N1datW12tHvC4AovV4YdrttcFFpfzo0CVUPhfXr+8IYEPpAEAAAAAgNPG9W5p/zzB18vM5wkAAAAAqr2AgABFREQoPz9f+fn5nm4OUIzZbJaPj0+FzTLocsht8eLFkqQuXbpo9OjRGjp0qAIDA50+fuDAgWrevLmr1QMeN7GU5Rb50A24hA+kAQAAAACAKxatj7d/nnCxwKJF6+P5XAEAAAAAJHl7e8vb2+W4D1BpuXzXT548WaNHj1bLlq59sDB58mRXqwYAVBJ8IA0AAAAAAMrLtlSpbUZ422uJf1wKAAAAAEB15XLIbezYsfL393eqbHJysnJychQREeFqdQCASoYPpAEAAAAAQHld/nmC9MfnCHyuAAAAAABA9eVyyC0qKkpdu3bV5s2byyx7991369tvv2VNYACoJvhAGgAAAAAAuKLAYi3yeYKN7XWBxeqJZgEAAAAAAA9zOeRmtVpltTr/gUJ5ygIAKjc+kAYAAAAAAK6Y2Ce6xH38gzkAAAAAAKovl0Nu5ZGWliY/P7+rURUAwAD4QBoAAAAAAAAAAAAAALhLhYbccnNztXnzZv36669q2ZJQAwAAAAAAAAAAAAAAAACgfMzOFpw5c6a8vLzsX5K0devWItsu/woICNCAAQNUUFCgYcOGVdhFAAAAAAAAAAAAAAAAAACqJqdncrNarbJarfbXJpOpyGtHatSooWbNmunuu+/WlClTXG8lAAAAAAAAAAAAAAAAAKBaMlnLSqqVwGw2q2vXrtqyZYu724QypKWlKSQkRKmpqQoODvZ0cwAAAAAAAAAAAAAAAACg3JzNQTk9k9vlZsyYoYiICFcPBwAAAAAAAAAAAAAAAACgTC7P5AbPYSY3AAAAAAAAAAAAAAAAAJWdszko81VsEwAAAAAAAAAAAAAAAAAA5eLUcqW9evW64opMJpPWr19/xecBAAAAAAAAAAAAAAAAAFQfToXcNm3adMUVmUymKz4HAAAAAAAAAAAAAAAAAKB6cSrktnHjxopuBwAAAAAAAAAAAAAAAAAAxTgVcuvevXtFtwMAAAAAAAAAAAAAAAAAgGLMnm4AAAAAAAAAAAAAAAAAAAAlIeQGAAAAAAAAAAAAAAAAADAsp5YrLU1mZqb+97//affu3UpJSVFeXp7DciaTSW+++eaVVgcAAAAAQLW2YF2cvMwmjevdsti+RevjVWCxamKfaA+0DAAAAAAAAACAinFFIbcVK1Zo7NixSktLs2+zWq2SLoXaCm8j5AYAAAAAwJXzMpv04ro4SSoSdFu0Pl4vrovTJAJuAAAAAAAAAIAqxuWQ2w8//KC//e1vqlGjhp588kl98MEHSkhI0BtvvKHjx49r9+7d+t///ic/Pz9NmzZNYWFh7mw3AAAAAADVki3YVjjoVjjg5miGNwAAAAAAAAAAKjOT1Tb1Wjndeeed+vzzz/X555/rtttu080336zvv/9eBQUF9jIHDhzQX/7yF50/f14//fSTGjRo4LaGV2dpaWkKCQlRamqqgoODPd0cAAAAAIAH2IJtvl5mXSywEHADAAAAAAAAAFQ6zuagzK5W8MMPP6hevXq67bbbSixzzTXX6JNPPtGpU6c0Y8YMV6sCAAAAAACXGde7pT3g5utlJuAGAAAAAAAAAKiyXA65nTt3ThEREfbXvr6+kqTMzMwi5aKjo9WmTRt9/fXXrlZl99lnn6lPnz6qW7euatSooaioKA0fPlzHjx8vUi4tLU2TJk1SZGSk/Pz8FBkZqUmTJiktLa3Ecy9fvlwdO3ZUYGCgateurVtvvVU7d+4ssXx8fLyGDh2q+vXrq0aNGmrXrp1efvllWSwWh+Vzc3M1a9YsRUdHy9/fX40aNdKYMWOUlJTk2psBAAAAAKjWFq2PtwfcLhZYtGh9vKebBAAAAAAAAABAhXA55Fa3bl1lZ2fbX9erV0+SdOjQoWJlCwoKdPr0aVerktVq1QMPPKAhQ4boyJEjGjZsmMaPH29fIvXo0aP2spmZmerevbsWLFigVq1aaeLEiYqJidGCBQvUvXv3YiE8SXr22Wd1zz336PTp03rwwQc1dOhQbd26VV26dNGmTZuKld+3b586dOigzz//XP369dO4ceMkSQ8//LAefPDBYuUtFotuv/12zZgxQ3Xq1NGECRPUtWtXLV26VJ06dSLoBgAAAAAoF9tSpZP6RCvumQGa1CdaL66LI+gGAAAAAAAAAKiSvF09sGnTpjp48KD99fXXX6+PPvpI7733ntq1a2ffvnv3bsXFxalhw4YuN3Lx4sX6z3/+o3/84x966aWX5OXlVWR/fn6+/ft58+bpl19+0eOPP67nnnvOvn3GjBmaNWuW5s2bp5kzZ9q3x8fHa8aMGYqOjtb27dsVEhIiSRo3bpw6duyoMWPG6MCBA/L2/uOtGjt2rFJTU7Vq1SrdeuutkqTZs2drwIABeuONNzR8+HD17NnTXn7ZsmVas2aNhg0bpuXLl8tkMkmSli5dqtGjR2vy5MlatmyZy+8PAAAAAKD6KBxwsy1Ravvvi+viirwGAAAAAAAAAKAqMFmtVqsrB86YMUOzZ8/Wr7/+qjZt2uj48eNq1aqVcnNzNXz4cN100006ffq0XnnlFZ0/f14PP/ywFi5cWO56srOz1aRJE9WqVUsHDx4sEja7nNVqVZMmTZSWlqakpCQFBgba9+Xk5CgsLEwBAQE6fvy4PWj2xBNPaM6cOVq2bJlGjBhR5Hxjx47Va6+9pjVr1qhv376SpLi4OLVq1Uo9e/bUhg0bipT/8ccfdeONN2r48OFavny5fXvnzp31ww8/KDExUZGRkUWOiYmJ0eHDh3XmzBnVrFnTqfckLS1NISEhSk1NVXBwsFPHAAAAAACqhgXr4uRlNjkMsi1aH68Ci1UT+0R7oGUAAAAAAAAAAJSPszkol5crHTp0qHr16mWfzS08PFyvvvqqvL29tXz5co0bN07PPPOMUlJS1KlTJ82ePduletatW6eUlBQNHjxYBQUF+vTTTzV37ly99tprSkhIKFI2Pj5eJ0+eVJcuXYoE3CTJ399f3bp104kTJ4ocZ1uO1BZiK6xfv36SpM2bNztVvmPHjqpVq1aR8jk5Ofrxxx/VqlWrYgE323lyc3O1bdu2Mt4JAAAAAACkiYVmcLvcuN4tCbgBAAAAAAAAAKocl5crbdOmjdatW1dk27333qubb75ZH374oRITE1WjRg117dpVgwcPLrbEqLN27tx5qaHe3rr22muLLJFqNps1ceJEvfDCC5IuhdwkqWVLxx/227bHx8cX+T4oKMjhcqqFy9iUVofJZFKLFi20c+dOZWVlKSAgQIcOHZLFYnGqTX369HFYJjc3V7m5ufbXaWlpkqS8vDzl5eU5PAYAAAAAAAAAAAAAAAAAjMzZ7JPLIbeSNGvWTFOmTHHb+ZKTkyVJ8+fP1/XXX6/t27erdevW2rVrl+6//37Nnz9fzZs319ixY5WamipJCgkJcXgu25R2tnK270NDQ8tV3tk6AgICXGrT5ebMmaOZM2cW27527VoFBASUeBwAAAAAAAAAAAAAAAAAGFVWVpZT5dwecnM3i8UiSfL19dXnn3+usLAwSdLNN9+sjz/+WO3atdP8+fM1duxYTzazQk2dOlWTJk2yv05LS1N4eLj69u1b6lq0AAAAAAAAAAAAAAAAAGBUthUty+K2kNv58+eVkZEhq9VaYpmIiIhyn9c2A9qf/vQne8DNpk2bNmrWrJkSEhJ04cIFe9mSZkWzvSmFZ1ULCQkpd3ln6rCFz1xp0+X8/Pzk5+dXbLuPj498fHxKPA4AAAAAAAAAAAAAAAAAjMrZ7NMVhdzi4uL09NNPa/Xq1aUutylJJpNJ+fn55a6jVatWkqRatWo53G/bnp2drZYtW0qS4uPjHZa1bbeVs33/ww8/KCkpSQ0bNnSqfEl1WK1WJSQkKCwsTIGBgZKk5s2by2w2l6tNAAAAAAAAAAAAAAAAAIBLzK4e+Msvv6hDhw764IMPdOHCBfn5+alJkyaKiIhw+BUeHu5SPT179pQk7d+/v9i+vLw8JSQkKDAwUPXr11fLli0VFhamrVu3KjMzs0jZnJwcbdmyRWFhYWrRooV9e/fu3SVJa9euLXb+NWvWFCkjST169Cix/Pbt23XhwoUi5f39/dWxY0cdPHhQR48eLXbM2rVr5efnp06dOpX4HgAAAAAAAAAAAAAAAABAdeVyyO2JJ55Qenq6evXqpV9//VVZWVk6evSojhw5UuKXK5o3b66+ffsqISFBS5YsKbJv7ty5unDhgu644w55e3vLZDJpzJgxysjI0KxZs4qUnTNnjs6fP68xY8bIZDLZt48aNUre3t565plnisxGt3fvXr3zzjtq3ry5evXqZd8eHR2tbt26aePGjfrqq6/s2/Py8jRt2jRJ0n333Vek7vvvv1+SNGXKlCLLuS5dulT79+/X3XffbV/eFAAAAAAAAAAAAAAAAADwB5O1cOqqHGrVqiWLxaJTp07Zl+asKIcOHVLnzp2VnJysgQMH6pprrtGuXbu0YcMGRUZGatu2bfalRjMzM9W1a1f98ssv6tOnj2644Qbt3r1bX3/9tdq3b6/vvvuuWHufeeYZTZs2TREREbrrrruUmZmp999/X9nZ2VqzZo19Njmbffv2qXPnzsrOztbQoUMVFham1atX69dff9WYMWP0xhtvFClfUFCggQMHas2aNerUqZN69Oihw4cP65NPPlHjxo21ffv2YkulliYtLU0hISFKTU0lHAcAAAAAAAAAAAAAAACgUnI2B+VyyC04OFitWrXSjh07XG5keRw/flzTp0/X6tWrde7cOTVs2FCDBg3S9OnTFRoaWqRsamqqZs6cqY8//lhJSUlq2LCh7rrrLs2YMUMhISEOz//ee+9p4cKF2rt3r3x9fXXTTTdp1qxZ6tChg8PycXFxevLJJ7Vx40ZlZGSoRYsWeuCBB/SPf/xDZnPxCfJyc3P13HPP6b///a+OHTum2rVra+DAgZo9e7YaNWpUrveCkBsAAAAAAAAAAAAAAACAyq7CQ27dunXT4cOH9fvvv7vcSLiGkBsAAAAAAAAAAAAAAACAys7ZHFTxKcecNHXqVJ06dUr//e9/XT0FAAAAAAAAAAAAAAAAAAClcjnkNmDAAL3yyit66KGHNHHiRO3Zs0fZ2dnubBsAAAAAAAAAAAAAAAAAoJpzeblSLy+v8lVkMik/P9+VqnAZlisFAAAAAAAAAAAAAAAAUNk5m4PydrWC8mbjXMzSAQAAAAAAAAAAAAAAAACqMZdDbhaLxZ3tAAAAAAAAAAAAAAAAAACgGLOnGwAAAAAAAAAAAAAAAAAAQEkIuQEAAAAAAAAAAAAAAAAADMvl5UptTp8+rSVLlmjz5s06ceKEcnJydOjQIfv+zz//XMnJyRoxYoT8/f2vtDoAAAAAAAAAAAAAAAAAQDVyRSG3zz//XCNHjlR6erqsVqskyWQyFSmzb98+PfXUU6pfv77uuOOOK6kOAAAAAAAAAAAAAAAAAFDNuLxc6S+//KK7775bWVlZmjRpkjZv3qwbbrihWLnhw4fLarXqk08+uaKGAgAAVBUL1sVp0fp4h/sWrY/XgnVxV7lFAAAAAAAAAAAAAGBcLs/k9uyzzyo/P19LlizRqFGjJMnhcqRRUVFq0KCBfv31V9dbCQAAUIV4mU168f8H2cb1bmnfvmh9vF5cF6dJfaI91TQAAAAAAAAAAAAAMByXQ25btmxR3bp17QG30oSHhyshIcHVqgAAAKoUW7CtcNCtcMCtcPANAAAAAAAAAAAAAKo7l0Nu58+fV9u2bZ0qa7ValZub62pVAAAAVU7hoNvLGxJ0scBCwA0AAAAAAAAAAAAAHDC7emD9+vV19OjRMssVFBQoLi5OYWFhrlYFAABQJY3r3VK+XmZdLLDI18tMwA0AAAAAAAAAAAAAHHA55Na1a1elpKRo5cqVpZZ7++23lZ6erl69erlaFQAAQJW0aH28PeB2scCiRevjPd0kAAAAAAAAAAAAADAcl0NujzzyiCTp/vvv16pVqxyWeeeddzR+/Hh5e3tr/PjxrlYFAABQ5SxaH68X18VpUp9oxT0zQJP6ROvFdXEE3QAAAAAAAAAAAADgMt6uHtihQwe98MILevTRRzVo0CCFhoYqJydHktStWzft379fKSkpkqSXX35ZMTEx7mkxAABAJVc44GZbotT23xfXxRV5DQAAAAAAAAAAAADVncshN0maOHGiWrdurSeffFK7du2yb//uu+8kSbGxsXruuec0YMCAK2slAABAFVJgsRYJuNnYXhdYrJ5oFgAAAAAAAAAAAAAYkslqtbplFPXYsWP67bfflJqaqqCgIMXExKhFixbuODUuk5aWppCQEKWmpio4ONjTzQEAAAAAAAAAAAAAAACAcnM2B+XSTG67d+9WfHy8JKlFixZq3769IiIiFBER4VprAQAAAAAAAAAAAAAAAABwoFwht59++kn33nuv9u/fX2R7dHS03n77bXXq1MmtjQMAAAAAAAAAAAAAAAAAVG9mZwseP35ct9xyi/bt2yer1aqgoCAFBgbKarXq4MGD6tu3r44cOVKRbQUAAAAAAAAAAAAAAAAAVDNOh9yef/55paam6rrrrtPPP/+s1NRUpaWl6aefftK1116rjIwMzZ8/vyLbCgAAAAAAAAAAAAAAAACoZpwOua1bt07e3t76+OOP1b59e/v26667Th9//LHMZrPWrVtXEW0EAAAAAAAAAAAAAAAAAFRT5VqutFmzZoqKiiq2r3nz5mrevLmOHz/u1sYBAAAAAAAAAAAAAAAAAKo3p0NuWVlZCg0NLXF//fr1lZub65ZGAQAAAAAAAAAAAAAAAAAglSPkBgAAAAAAAAAAAAAAAADA1eZdnsKpqanasmVLifsk6dtvv5XVanVYplu3buVsHgAAAAAAAAAAAAAAAACgOjNZS0qkXcZsNstkMrlekcmk/Px8l4/HH9LS0hQSEqLU1FQFBwd7ujkAAAAAAAAAAAAAAAAAUG7O5qDKNZObk3k4tx8LAAAAAAAAAAAAAAAAAKienA65WSyWimwHAAAAAAAAAAAAAAAAAADFmD3dAAAAAAAAAAAAAAAAAAAASkLIDQAAAAAAAAAAAAAAAABgWITcAAAAAAAAAAAAAAAAAACGRcgNAAAAAAAAAAAAAAAAAGBYhNwAAAAAAAAAAAAAAAAAAIZFyA0AAAAAAAAAAAAAAAAAYFiE3AAAAAAAAAAAAAAAAAAAhkXIDQAAAAAAAAAAAAAAAABgWITcAAAAAAAAAAAAAAAAAACG5faQ25w5czR69Gh3nxYAAAAAAAAAAAAAAAAAUA25PeT21VdfadmyZe4+LQAAAAAAAAAAAAAAAACgGmK5UgAAAAAAAAAAAAAAAACAYRFyAwAAAKqpzMxMmUwmmUwmZWZmero5AAAAAAAAAAAAgEOE3AAAAAAAAAAAAAAAAAAAhuX2kJvVanX3KQEAAAAAAAAAAAAAAAAA1ZS3u0/48ssvKzU11d2nBQAAAAAAAAAAAAAAAABUQ24PubVv397dpwQAlCAzM1NBQUGSpIyMDAUGBnq4RQAAAAAAAAAAAAAAAO7l9uVKAQAAAAAAAAAAAAAAAABwF0JuAAAAAAAAAAAAAAAAAADDIuQGAAAAAAAAAAAAAAAAADAsQm4AAAAAAAAAAAAAAAAAAMMi5AYAAAAAAAAAAAAAAAAAMCxCbgAAAAAAAAAAAAAAAAAAwyLkBgAAAAAAAAAAAAAAAAAwLJdDbnfffbdWr14tq9XqzvYAAAAAAAAAAAAAAAAAAGDncsjto48+0sCBA9WkSRNNmTJF+/fvd2e7SjVv3jyZTCaZTCZt27bNYZm0tDRNmjRJkZGR8vPzU2RkpCZNmqS0tLQSz7t8+XJ17NhRgYGBql27tm699Vbt3LmzxPLx8fEaOnSo6tevrxo1aqhdu3Z6+eWXZbFYHJbPzc3VrFmzFB0dLX9/fzVq1EhjxoxRUlJS+d6AaiQzM9P+s87MzPR0cwAAAAAAAAAAAAAAAABcZS6H3ObNm6eYmBidOnVKzz//vGJjY3XjjTfqtdde04ULF9zYxKL279+v6dOnKzAwsMQymZmZ6t69uxYsWKBWrVpp4sSJiomJ0YIFC9S9e3eHYalnn31W99xzj06fPq0HH3xQQ4cO1datW9WlSxdt2rSpWPl9+/apQ4cO+vzzz9WvXz+NGzdOkvTwww/rwQcfLFbeYrHo9ttv14wZM1SnTh1NmDBBXbt21dKlS9WpUyeCbgAAAAAAAAAAAAAAAADggMl6heuN7tq1S2+//bZWrFihM2fOyGQyydfXV7fffrtGjhypfv36yWQyuaWxBQUFuummm2QymRQdHa13331XP/zwg2688cYi5WbMmKFZs2bp8ccf13PPPVds+/Tp0zVz5kz79vj4eMXExKhZs2bavn27QkJCJEl79+5Vx44d1ahRIx04cEDe3t72Y7p3764tW7Zo1apVuvXWWyVJeXl5GjBggNavX68NGzaoZ8+e9vJLly7V6NGjNWzYMC1fvtz+nti2jxgxQsuWLXPqfUhLS1NISIhSU1MVHBxcznexcsnMzFRQUJAkKSMjo9RwI1Ad0UcAAFeC5wgAAAAAAAAAAAA8ydkclMszudlcd911eumll3TixAl99tlnuv3222W1WvXhhx+6fTnT5557Trt379Zbb70lLy8vh2WsVquWLFmioKAgTZ8+vci+qVOnqnbt2nrzzTdVONu3dOlS5efn68knn7QH3CSpTZs2GjFihA4dOqQNGzbYt8fFxWnLli3q2bOnPeAmST4+PnrmmWckSW+88UaRum2v586dWyT0N2rUKLVu3VoffPCB0tPTy/uWAAAAAPCQzMxMmUwmmUwmh7NFAwAAAAAAAAAAwD2uOORm4+3trdtvv12ffvqpTp48qUWLFun6668vtpzp66+/7lKYa8+ePZo5c6amTZumNm3alFguPj5eJ0+eVJcuXYrNROHv769u3brpxIkTSkhIsG+3LUfat2/fYufr16+fJGnz5s1Ole/YsaNq1apVpHxOTo5+/PFHtWrVSpGRkcWO6du3r3Jzc7Vt27YSrwsAAAAAAAAAAAAAAAAAqiPvsouUX61atdSsWTNFRUVp9+7dys/PlyRt375dO3bs0JQpUzR16lQ9/vjjTp0vPz9fI0eOVOvWrTVlypRSy8bHx0uSWrZs6XC/bXt8fHyR74OCgtSwYcNSyztTh8lkUosWLbRz505lZWUpICBAhw4dksVicapNffr0KbY/NzdXubm59tdpaWmSLi2PmpeX5/CcVUXh66sO1wuUF30EACqHm5bfJEmyWqyKezxOBZkF8gr0UvS8aJnMpiJlT604pfObz0uSIiZGKCg6qMj+jLgMHVtwTJJUu3ttNRrWqMj+8tRReHbjru91lZefl9vrcMd1pKamyoh4DgMAAAAAAAAAAFwZZ8dX3Bpy27Nnj5YtW6b33ntPp0+fltVqVd26dfXXv/5Vo0aN0unTp7VkyRJ9/vnnmjp1qvLy8vTkk0+Wed5nn31Wu3fv1o8//igfH59Sy9oGwAovO1qYbe3WwgNlqampCg0NLVd5Z+sICAhwqU2FzZkzRzNnziy2fe3atQoICHB4TFWRk5Nj/37NmjXy9/f3YGsA46GPAEDl8FStp/54saSMwg/+/6+SdJT0fhnncLKOnJwcDRs2TJI0JWTKH88RN9ZRonLU8dVXX5VR0DN4DgMAAAAAAAAAAFyZrKwsp8pdccjt7NmzWr58uZYtW6ZffvlFVqtVZrNZffv21ejRozV48OAiwbR+/frpxx9/VLdu3fTGG2+UGXLbvXu3Zs+erUcffVTXX3/9lTa3Upo6daomTZpkf52Wlqbw8HD17dvXHpCrqjIzM+3f9+vXr9gStChbZmamateuLUk6f/4872EVQx8BgMrBNpOb0RTkFti/n5s6V145Xh5sTcl++OsPnm6CQzyHAQAAAAAAAAAAroxtRcuyuBxy++yzz7Rs2TJ9/fXXys/Pl9VqVfPmzTVy5EiNHDlSjRs3LvHYTp066frrr9eOHTvKrOfee+9V8+bN9fTTTzvVLttsaSXNimZ7YwrPqhYSElLu8s7UYQugudKmwvz8/OTn51dsu4+PT5kz21V2ha+vOlxvReA9rNr4+QJA5ZCr3LILeYBFFvv3F3VRZpk92JqSGfX5xnMYAAAAAAAAAADgyjg7vuJyyO3OO++UJAUEBGjYsGEaPXq0unfv7vTxkZGRSkpKKrPc7t27JanEpX9uuunSrBifffaZBg8erJYtW0qS4uPjHZa3bbeVs33/ww8/KCkpSQ0bNnSqfEl1WK1WJSQkKCwszD6TQ/PmzWU2m8vVJgAAAACAZ2VmZiooKEiSlJGRwWx9AAAAAAAAAAB4iMsht44dO+rvf/+7hg0bppo1a5b7+BUrVjhV7u9//7vD7Vu2bFF8fLwGDRqk+vXrq2nTppIuBcXCwsK0detWZWZmFhmEyMnJ0ZYtWxQWFqYWLVrYt3fv3l0//PCD1q5dqxEjRhSpZ82aNfYyNj169JAkrV27VlOmTClSfvv27bpw4YIGDBhg3+bv76+OHTtq27ZtOnr0qCIjI4scs3btWvn5+alTp05OvScAAAAAAAAAAAAAAAAAUF24vB7Rtm3bdN9997kUcCuPJUuWOPzq3LmzJGnq1KlasmSJ2rdvL0kymUwaM2aMMjIyNGvWrCLnmjNnjs6fP68xY8bIZDLZt48aNUre3t565plniiwpunfvXr3zzjtq3ry5evXqZd8eHR2tbt26aePGjfrqq6/s2/Py8jRt2jRJ0n333Vek7vvvv1+SNGXKFFmtVvv2pUuXav/+/br77rvty5sCAACgask5kVPkb8DCrFarck7kqCCnoMTj81LylJeSV+L+guyCalEHAAAAAAAAAAAAqieXZ3K73MmTJ3XixAllZ2erW7du7jqtSx5//HF98cUXmjdvnnbt2qUbbrhBu3fv1tdff6327dvr8ccfL1I+OjpaTz/9tKZNm6Z27drprrvuUmZmpt5//33l5eXpjTfekLd30bfq1VdfVefOnXXHHXdo6NChCgsL0+rVq/Xrr79qzJgx6tmzZ5HyI0aM0AcffKAVK1boyJEj6tGjhw4fPqxPPvlE4eHheu655yr8fQEAAIBnJDyZoDq31FHY/4UV23fqvVNK+SZFPnV91OKZFvLy9yqyP2NfhhJfSJQkNX20qYJigorsL8guUMK0BOWdy3O5DkmKfyJeMlVcHe64DgAAAAAAAAAAAFRPLs/kZvPqq6+qZcuWCg8P14033lhkxjNJeuSRR9S5c2cdO3bsSqtyWmBgoDZt2qSJEyfqwIEDmj9/vvbs2aOJEydq06ZNRZYwtXnyySf17rvvKjQ0VK+++qpWrFihzp07a+vWrcUCa5IUExOj7du3a9CgQfr666/10ksvqaCgQIsWLdLrr79erLyXl5dWrlypmTNn6ty5c1qwYIG2bNmikSNH6scff1TDhg0r5L0AAACAMWTsySh1e965POWdKz7LWebBTMkiySJlxWUV25+X8sdxrtYhSbJWbB3uuA4AAAAAAAAAAABUTyari2sBWa1WDRs2TB9//LEkqWnTpjp79qwyMjJUUPDHEkUffvihhg0bphdffFETJkxwS6Oru7S0NIWEhCg1NbXKL3GamZmpoKBLs3xkZGQ4DCiidLyHVRs/XwCoHPwa+anh0IYKvr74325pP6cp6cMkBcUGqdE9jWQymYrsz0vJ0/HXjkuSwseGy6e2T5H9VqtVp947pYw9GeWuw5Jr0b4H9kmSarSoIZPZ5PY63HEdv937W7H6jIDncNXHzxgAAAAAAAAAgIrlbA7K5ZDbkiVLdP/996tNmzZavny52rZtq5tvvlnff/99kZBbZmamatWqpR49emjdunWuVIXLEHJDefAeukfbZW093QSHCocTYl6PkdnviiforBBGDSdI9BEAVwfPkStj1OcIz5Cqj58xAAAAAAAAAAAVy9kclLerFbz55psym8366KOPdM0115RYLjAwUM2bN9fhw4ddrQoAAAAAAAAAAAAAAAAAUE25HHLbu3evmjVrVmrAzaZ27dravXu3q1XhKjDy7CI2Hd/raNjZRSTjzjACAAAAAAAAAAAAAAAAVGYuJ4YsFov8/PycKpuWluZ0WQAAAAAAAAAAAAAAAAAAbFwOuUVFRSkhIUEZGRmllktKStLBgwfVunVrV6sCAAAAAAAAAAAAAAAAAFRTLofcBg0apNzcXE2fPr3Uco888oisVqvuuOMOV6vCVZCdmO1w+9k1ZxU3OU5n15wt8bj4afE6uuhokaVFbSy5Fh1ddFTx0+JdrsPm2CvHKqwOd1wHqh8j9I/so38cR/8AgMrBEM+P/1/HsVeOOdxvlOeHrQ4AAAAAAAAAAABUby6H3B599FGFhYXppZde0l/+8hetXr1aOTk5kqQjR47oiy++0C233KL3339fUVFReuihh9zWaLjfmVVnim2zWqxKWpGki6cvKmlFkqwWq8Pjcn/PVfrP6Ur/Nb3Y/vTd6Ur/OV25v+e6XIdNxu6MCqvDHdeB6sUo/ePs6j+CBel76B8AYHRGeX7Y6sjYnaHwf4Qr9u1Ymf3++F8Dozw/bHUAAAAAAAAAAACgenM55Fa7dm2tWbNGUVFR+uSTTzRw4ED9/PPPkqQWLVrojjvu0IYNG9SsWTOtWrVKgYGBbms03C+odVCxbSazSQHRAZKkgOgAmcymEo8z+5vlH+lfbL9/U3+Z/c1XVIe9rJ+pwupwx3WgejFK/whs9cfvVv8I+gcAGJ1Rnh+VrQ4AAAAAAAAAAABUbyar1XpFU+xkZWXpzTff1GeffabffvtNqampCgoKUkxMjIYMGaIHHniAgJubpaWlKSQkRKmpqQoODnbLOdsua+twuyXfoounL8q3ga/M3o4zkbmnc+UV6CXvIG+H+/Mz8lWQWSC/Bn7lrsOSa9G+B/ZJkqLnR8u3rq/b63DXdfx2728Ot3taZmamgoIuDRxnZGTQH13kqI94un9IRftIzOsxRWbhcVcd7rgOo/YPiT4C4Ooo/BwxwvOjstXh37h4SK6wguwCHZ1/VDknctT0saaSpMTnE+Xf2F+Rj0TKq4ZXqcdLUtbhrCLHnFt3TsmfJit0SKhCB4U6bt9lz+Gza87aj6nbp26RNgU0KzuwV1HXcfqT02UeB8f4OwEAAAAAAAAAgIrlbA7K8WhTOQQEBOjhhx/Www8/fKWnggGZvc1lDiqWNChp4x3kXeLAprN12M5TkXVc6XWg+jFS/6joOugfqKwIJ8CIjPL8qCp1XB4Ms4XJmj7WVInPJ+ro/KNlBsQuD4Z51fCyB9uSP02WpBKDbjZnVp3RmS/OFAnFRT4SqaPzjyrx+cQyg24VfR2AJ/AcBgAAAAAAAAC4i8vLlQIAAADA1ZB1OMvh9pKCYZIU0CxATR9rqpwTOTo6/6gKsgtKPHdJs6WFDgpV6JBQJX+arOQvkktt4+UBN0nyquGlyEci5d/YX4nPJ3rsOgAAAAAAAAAAACo7Qm4AAAAADM1RQKy0YJhNWQExZ4Jhzgbd6g+q73DWtLKCblfrOgAAAAAAAAAAACqzK1pbLi8vT0uXLtXXX3+tw4cPKyMjQ1ar1WFZk8mkQ4cOXUl1AAAAAKohW0DMFgJzJhhmYwuIXb7kZ3mCYSUtXXpm1Rl7mfoD65d4vC3odvnSpVf7Ooys7bK2nm6CQ5Zci/37ju91lNnPmP9O7Ld7f/N0EwAAAAAAAAAAqFAuf0J/9uxZ3XDDDRo7dqxWrlyp3377TUeOHFFiYmKJXzC+jH0ZOv3ZaeWl5Dncn5eSp9OfnVbGvgyH+60FVp375pzOfXNO1gLHgcfqUgeqHiPcV1WlDgCobjz9e7ey11F4JrSMfRlOB8NsLp8JLWNfRrmDYZfP6Jb8RbLOfHGmzONsLp/RzVPXYVRGvndtzm00Zv8AAAAAAAAAAKA6cHkmtylTpmjPnj1q0qSJHn/8cXXo0EGhoaEym435L9tRtryUPCW+kChZpMz9mWr2RLNiZY6/dlxZcVk6Yz6jVi+0kk8dnyL7Uzam6NS7p+yv695S94rqaPlMy2L73V1HRV0Hqhaj3FeX1+EVWHQwm/4BAMZ0ZuUZQz0/KlsdtoDYkWePKHFeoiSp2fRmTgXDbGwBscOzDitxXqL8w8sfDLt8Rrf6g+q7FHTz9HUY0fHXjhv23rU5veK0zN5mw/UPAAAAAAAAAACqA5dDbl9++aV8fHy0YcMGtWjRwp1tAiqlwkssFWQX6MizR5RzPEdS+QcvJSnrcJYOzzosSfIP91fUE1HlHrxM/iLZPggrlX+Jpat5HSyxBAAAAAAAAAAAAAAAAEdMVqvV8VooZahRo4ZatmypX3/91d1tQhnS0tIUEhKi1NRUBQcHu+WctoBWxr4MZcVlqXb32vKpXXwGg7zzeTq/+bwCogMUFBNUbL+1wKqUjSmSpDo968jkZSpWpjx1BDQP0L4H9kmSYl6PkdnP7PY63H0dBdkF9qWnIh6OUPKnyeVahkq6FAyzLT0VOiRUxxYfK/cyVLaAW+EZRuoPqq8GQxo4dfzVvg6jh9zaLmtruP4RFBMkS66lSB8xeZsM2T+M/PPNzMxUUNCl68zIyFBgYKCHWwR34ucLo2hwRwNDPT8qWx1G+/sqdEjRGd2kP/5WLY2nrsPIz2GbaxZeY8h7t/DfWg2GNVC9PvUM1z8k4/6MeQ4DAAAAAAAAAMribA7K5ZBb27ZtlZeXpwMHDrjcSLimIkNuRnN5gKc8s5B5QuGBS9tgpaNtpSk8cGkbrHS0rTSFB2Dr9atnfw8lKXRIqH2pLSNdh1EH5mzoI1fGyD9fBl+rNn6+MAqjPkcqi8OzDxvq7yvb31KnPz1t/8cEZT2HPfl3opGfwzZG7SP8rXVleA4DAAAAAAAAAMribA7K5U/ox4wZo/j4eP3000+ungKoUkoapPSq4aXIRyLl39hfic8nKutwVonnKGmQMqBZgJo+1lQ5J3J0dP5RFWQXlHgORwOwNvUH1Vfyp8lK/iK5hKONcx0AAAA2nv67pKS/r+oPrG///syqMyUez99XAAAAAAAAAAAAV8blkNu4ceM0fPhwDR48WCtXrnRnm4BKqbRZOJwZwCxrFg5nBjBLC7hJlwZiQ4eElhh0K2s2kat1HXCe2c+s2LdjFft2rGFnFgEA4EoZ+e8rmzNfnOHvKwAAAAAAAAAAgAriciKid+/eOnnypJKTkzVkyBDVq1dPnTp1Uq9evRx+9e7d253tRjVRmQI8ZS0zVdoAprPLZZU2gOnsAGzooFCHQTdnl8uq6OsAAAC4nNH/vpIcz5jL31cAAAAAAAAAAADu4XJqaNOmTdq0aZPy8vJktVqVkpKiHTt22Lc7+kLlY8m3KOdEjiz5lhLL5J7OVX56fon789PzlXs6t8rXUdrApY2jAUxnBy5tHA1glmcAVioedHN2ALYir6Myqir37tWoAwDwh6ryu/1q1lEao/x9dfmMuUb4+8p2HZVJVbt3PV0HAAAAAAAAAABVhberB27cuNGd7YCHpWxIUZ1edYptT3w+UVkHsxTQKkDNpjZzeNzJd07K7G9W81nN5RfqV2R/bnKuDk0/JEuORWEjwqp0HWUNXNrYBjCPzj+qw7MOXzq2RYBTA5eF62r6WFMlPp+o/WP3S5LTA7A2trLJn14awDXXMDs1AFtR11EZVZV792rUAQD4Q1X53X4164h9O7bYvsL4+6r066hMjHbvRk2LKrbfaP0joFWA9PdiuwEAAAAAAAAAqFJcDrl1797dne2Ah2Xszyg2cGK1WJUVd2mppKy4LFktVpnMpmLHSZIlx6KcoznFBmdyEnNkybFUizouP2dpvGp4KXRIqBLnJUq6NIDq7MClTUCzAAVeE6j0XemSpLp96pbreNsxyZ9emt0j8JpApwdgbdx5HZVNVbp3r0YdbZe1VXlk7Muw31dNH2+qoJigch0vSUdfOmrvH61fbV3ivWnJ/WP2k47vdbQvjVyQXWAPB9S8rqYix0eWuw3uvA6r1VruY4ErlZmZqaCgS/dtRkaGAgMr3+9ro6lKv9uvZh3O4O+rP1x+HZWFIe/dY8VnEjRa/yhPPwEAAAAAAAAAoLJyeblSVC31B9Yvts1kNqnhsIbybeirhsMaOgxx1R9YX35N/FTz+pqq2a5msf01r62pmtfXlF8TvypfR3lkHc7SscXH5B/uL/9wfx1bfExZh8s3OJX8RbLSd6Wr5nU1Za5hti9J5SzbElrmGmbVvK6m0nell3s5K3deR2VTle5d+kdxRusfNa8r/r4DqJyq0u/2q1mHM3h+lHwdlYUh791Y4/ePhsMaFtsPAAAAAAAAAEBVY7K6YWqYzMxMbd26VXFxcUpPT1fNmjUVHR2tLl26MONHBUhLS1NISIhSU1MVHBzslnOWd5YlFJf8RbJTy1llHc5S4vOJ8m/sr8hHLs0MdXT+UeWcyHF6OavkLy4tgWVbQuvycxae7cOSa9G+B/ZJkmJej5HZz2wfgC1c5+XnvNrXcfqT02WW9yT6yJUxav+QivcRq8VquP4ROihUv937W5nHoDhmIrsyvH/uw3OkYnni+SEVfYa0WthKx18+brjnR9bhLB2aeajM4zzNqH3E0d/SRmTUvxN4jgAAAAAAAAAAyuJsDuqKPqG/ePGipk6dqkaNGmnAgAEaP368pk2bpvHjx2vAgAFq1KiRnnzySV28ePFKqgEqheRPk8ucqcPRYKlXDS9FPhIp/8b+Snw+scyZOhwNlgY0C1DTx5oq50ROmTOOOAq4SVLooFCFDgn16HWg6qJ/0D8AoKIY4fkhSccWHTPk86O8y6UCAAAAAAAAAAAYkcsht4KCAg0aNEjz5s1TRkaGGjdurN69e+uvf/2revfurcaNGysjI0Nz587VoEGDVFDg/DI/QGVU1gBmabOBODuAWVrwxZmB2JICPPZrcGIgtqKvA1WTp+8rZ4MKjgIK9mugfwCAxxj9+SFJOSd5fgAAAAAAAAAAAFQUb1cPfP3117V27Vo1aNBAixcv1p133imTyWTfb7Va9cknn2j8+PFat26d/vOf/2js2LFuaTRgRLbBxORPk4u8lkofuLSxDWAenX9Uic8nFhskdWbg0jYQm/h8oo7OP6rIRyJlMv/RL48tOqbcU7mlLndlhOtA1WOE+8pR/7i8rpyTOYp6PIr+4QIjLzNn0/G9jiwzB1RSRn1+FA69RU6I5PkBAAAAAAAAAABQQVwe6X3nnXdkMpm0atUq3XXXXUUCbpJkMpl011136X//+5+sVquWLVt2xY0FjM7RTB3ODFzalDRTR3kGLkubcaSkGUaMeB2oeoxwXznqH84GFIx0HQBQ3Xj6925Jz49ji479USaK5wcAAAAAAAAAAEBFMVmtVqsrB4aEhCg8PFx79uwps2xsbKyOHTumtLQ0V6rCZdLS0hQSEqLU1FQFBwe75Zxtl7WV1WrVqfdOKWNPhhoObajg64ufO+3nNCV9mKSg2CA1uqdRsXBjXkqejr92XJIUPjZcPrV9iuyvLnXYBhtrXldTmQcynRq4LKzwsqKB1wQqfVd6uQcubYOmPnV8lHsiV5LUdEpTBV0T5PQ5ruZ1GH0Wo9i3Yz1+X1WVOozUP3zr+cpqsdr7SMzrMU7P9HW1r8PofaRun7qGvHctuRbte2CfJKnlnJY6sfSE2+twx3UY9eebmZmpoKBLz42MjAwFBgZ6uEWVl18jP8P1j8pWh9GeH5KUeyZX1pxL/zvl7DPEE9dh1N8xhUWOjzTkvVv4OVKjRQ1F/CPCkP3DqD9jniMAAAAAAAAAgLI4m4NyeSa3goIC+fj4lF1Qko+PjywWS9kF4VG5J3OV8k2KLiZdVNKHSQ7LJH2YpItJF5XyTYpyT+YW25+yOUVZcVnKisvS+c3nq20doYNCVfO6mkrflS5LtqVcA5fSHzN1WLItSt+VrprX1Sz3zBwBzQIU8XCEPbwjlT3DyOWMcB1GYYT7qqrUYYT7ytY/co7nFOkj5WGE6zAST99XztRx/rvzhu8fqLo8fV9VhTqM8Hu38PMj53iOwh8ML9fxkjGuw4iMfO/aZCdkG7Z/AAAAAAAAAABQ1bkccmvevLn27NmjxMTEUssdOXJEe/bsUfPmzV2tCleJT10f+dS9FFwMinU825dte+GyhQW2Crx0V5mlgOjigarqUkfW4SxlHsi0vz637pzDdpSm8DGZBzLtS1I5qyC7QMmfJhfbVh5GuA6jMMJ9VVXqMMJ95ah/lJcRrsNIPH1fOVNHQMsAw/cPVG1G7h+VoQ4j/N69/Plx5osz5W6DEa7DiIx879qZjNs/AAAAAAAAAACo6lxernT27NmaPn262rZtq//+979q165dsTK7d+/WiBEjtGfPHs2aNUtPPvnkFTcYFbdcqSQV5BQo71ye/ML8ii2hI11aJif3ZK586vrIy9/xjBN5KXmSJJ86jgeIqnodtmWsbEtPnVt3TsmfJpdrOSzbMlahQ0JVt09d+5JUTR9rqoBmZc/GVngZq6aPNZWkIm1yZraQq30dRl1iyabtsrZV/t69GnUYsX9YLlqUODdRktRqYSv51Cp7llJPXIfR+0jM6zGGvHcLLzMX83qMCjIL3F6HO67DqD9flplzn5bPtjRc/6hMdRjx+SFJR+YdKddypZ66DqP+jiks9u1YQ967ly977dfIz+11uOM69o3dZ7j+kfh8ovwa+Sn7cLaksvuIJ/t5ZegjAAAAAAAAAFBVOZuDcjnklpWVpRtvvFF79uyRyWRS165dFRMTo9DQUCUnJ2vfvn367rvvZLVa1a5dO/3www+qUaOGyxeEP1RkyA1X5vKBGVuYrPBgS1kDNI7KXj5oVNoATUllS2qbUa7D6ANL9JErZ9T+UXjwukazGmr6WFPD9Q+JPuKqy0NuZQVQPMWoP19Cbu5j1D5SWRQO8Bjl+SFJGQcynA5Ke/I5aNTfMYXRR67M4dmHDdc/sg5nOR0E9fTfiZWhjwAAAAAAAABAVeVsDsrlkd6AgABt2LBBQ4YMkSR9++23ev311zV79my9/vrr+vbbbyVJd955p7755hsCbqjySguRhQ4KVeiQUCV/mqzkL0peIrGkQRyvGl6KfCRS/o39lfh8YolLUpU2iBPQLEBNH2uqnBM5Ojr/aIlLlxrhOlD1GOG+cmaQM+ck/QMAjMioz4+AqD++P7boGM8PeIwh+0ezAEVOiCxS1hH6BwAAAAAAAADAGVc0nUm9evX08ccf6+DBg/r3v/+t8ePHa/To0Ro/frz+/e9/Ky4uTh999JHq1avnrvYChlXWLGllDdCUNUtBWQM0zgR4ygq6OTPbW0VfB6omT99Xzs7iETkhkv4BAAZk1OeH2c+s2Ldj1Wx6M+WeyuX5AY8xYv+Qyg6CGqF/lBS+AwAAAAAAAAAYi1vW7GrRooXGjh2rBQsW6I033tCCBQs0duxYNW/e3B2nByoFZ5YBLWmAxtlleEoaoCnPckIlBd3Ks5xpRV0Hqq5K0z+i6B8AYESGf34Y+O8rAjzVmxH6h83lM+YapX8cnX+0zLYDAAAAAAAAADzPLSE3VH4lDX5lH8vW6c9OK/tYdonHnfnyjC5su1DiuS9su6AzX56p8nWUNTBjc/kAjbMDMzaXD9Bk7Mso9wDT5QOxGfsynB5gqqjrqIyqyr1L/yjKiP0jY19GmccYjVHu3bNfny21nUboHyWdG1WXUfpHZaqjLDw/Sr+OyqSq3buerMPGCP1DKjpjrpH6R86JHKfaDwAAAAAAAADwLG9PNwDGcPqj0wobEVZkm9ViVeJziSrILFDKNym6ZvE1MplNxY5L2ZAiSfIO8VZQ66Ai+zP2Z+j3136XJOWl5FXpOpwZmLGxDcIkf3ppFgJnB2ZsbAM0R549osR5iZKkZtObOT3AJP0xEHt41mElzkuUf7jzA0wVcR2VTVW6d+kfxRmtfyTOS5Sec/pQjzPiveuIUfpH4nOJ0lMlNhNVjBH7R2Woo8EdDVQWnh8lX0dlURXv3atVR+t/t1ZpDNE/oozZP5pNb+b08QAAAAAAAAAAz3E65Obl5fwHz46YTCbl5+df0TkAAAAAAAAAAAAAAAAAANWLyWq1Wp0paDZf+cqmFovlis8BKS0tTSEhIUpNTVVwcLBbzhnzWozDf0GffSxbaT+lKfiGYNWIqFFsf0F2gVLWp8inno9q3VjL4bkvbLugvLN5qtO7TpWuoyC7wOlZCAovrSOpXMvs2OqyLa0T8XCEkj9NLvdyQVmHs+xLBIUOCdWxxcfKtVyQu6+jIMvxMkxG0XZZ22Lbqsq9W937hyXXon0P7JMkxbweI7Of2XD9I+LhCB15ztgzHl7eR4xy755bc07Jn1+a7cX283V3He64joSnEhwe62mZmZkKCro0u1BGRoYCAwM93KLKq3AfMUr/qEx1ODOTG39flXwdmfGZTh3rSbY+UtXuXU/WUZin+kfhv7OaTmmqYy8dM1z/qAz/LwIAAAAAAAAAVZmzOahyhdxMJpNatWqlv/3tbxoyZIh90NNZjRs3Lld5OFYRITdHAR6Uz+HZh50aoCk8MGNfbsfBtpIUHpixDSo52laawgOwtjY72nY1r+PQzEOllvc0+siVMXL/uDzklnMix3D9I6BZgH6797dSj/E0o/YRRyFGIzLqz5eQm/sYtY9UFfx9Vfp17HtwX6nHGQF9pOJ4sn8Ufg6b/E2q0aSG4frH0flHK0UQFAAAAAAAAACqKmdzUE6P9C5YsEA33HCDDhw4oGnTpumGG27QlClTtHfvXjVq1EiNGzcu8wuoynJO5Ojo/KMqyC55FoCSBmFCB4UqdEiokj9NVvIXySUeX9JgklcNL0U+Ein/xv5KfD5RWYezSjxHSYNJAc0C1PSxph69DlRdlaZ/HKF/AIARGf75YeC/r5ydIQtVkxH6h41/mDH7R+QjkWW2HQAAAAAAAADgeU6H3MaPH6/t27frwIEDmjp1qkJDQ/Xee+9pwIABaty4sR555BH9/PPPFdlWwNDKGqApa5aBsgZoygq+ODPQVNZsCc4MNFX0daBq8vR9VVr/MPuZFft2rJpNb2ZfQov+AQDGYsTnhw1/X8EIDNs/jvyxLWJchCH7B0FQAAAAAAAAAKgcyr1mV3R0tGbPnq3Dhw9ry5Yt+vvf/67c3FwtWLBAHTp0UJs2bfTcc8/p+PHjFdFewLBKG6BxdhmdkgZonB24LG2gydnlgIxwHah6jHBf0T8AoPLi+cHzA6Uzav84uvBokbKO0D8AAAAAAAAAAM4od8itsK5du+o///mPkpKS9NFHH+m2227ToUOH9MQTTygqKkr//Oc/3dVOXCUF2QXKOZEjq9XqcL/ValXOiRwV5JS8lExeSp7yUvKqZR2OBmicHZixuXyAprwDM44GmpwdgDXSdRhRVb53r0YdRriv6B8Vpyrfu1e7DlRNnr6vKnsdnv69y/Oj4lXVe/dq1WHY/hHmX2b9Ev0DAAAAAAAAAFA2k9XNI6zffvut/va3v+nYsWO65ZZbtHbtWneeHpLS0tIUEhKi1NRUBQcHu+WcbZe1VUF2gRKmJSjvXJ7q3FJHYf8XVqzcyXdPKuWbFPnU9VGLZ1rIy7/oYF7GvgwlvpAoSWr6aFMFxQQV2V9d6rAN6liyLZLk9MBMYbZBHUky1zCXe2DGNqiTlXBpNoWAFgFODcAWdjWv47d7fyvXea+2mNdiPH5fVZU66B9/KM91GL2P+NbzNeS9a8m1aN8D+yRJERMidGzRMbfX4c7rMGL/sIl5PUZmP+f+fYQnrsPofcRkMhmuf1S2OozYPyrD80Myfv+QpLp96lbZe/dq1GHU/hH+z3AdnHBQknPPEU9dR2XoIwAAAAAAAABQVTmbg7qimdxsTp8+rYULF+qGG25Qjx49dOzYMQUFBalr167uOD2ukryUPOWduzRzQMaeDIdlbNvzzv1RtrDMg5mSRZJFyorLKra/utQR0CxAgdcE2l/X7VPXYTtKU/iYwGsCyz3zgFcNL4UO+WNAKHRIaLkGYCVjXIdRGOG+qip1GOG+on+4n6fvq5LqMPuZFft2rGLfjlX2kWz6hxMu7x+uMMJ1GJHR+kdlq8MI9xXPj4pTle/dq1GHEe4r+gcAAAAAAAAAoCK5HHLLzs7W8uXLNWDAAIWHh2vSpEn69ddf1bdvX7377rs6ffq0pk+f7s62ooL5hfmpzi115NvQVw2HNnRYpuHQhvJt6Ks6t9SRX5hfsf11utdRQHSAAqIDVLt77WpbR/IXyUrfla6a19WUuYbZvuSOs2yzIJhrmFXzuppK35Wu5C+SnT5eujQLwrHFx+Qf7i//cH8dW3xMWYeLD5iVxgjXYRRGuK+qSh1GuK/oH+7n6fuqqtRhhPuqcP/wa1z8Gp1hhOswmqp+716NOoxwX/H8qDhV+d69GnUY4b5y2D+O0D8AAAAAAAAAAO5RruVKrVarvvnmG7377rv67LPPlJmZKavVquuuu05/+9vfNHz4cDVo0KAi2wtV3HKlcA/b8ji2pXVsS+74N/Z3ajkr28BMzokc+9I6l5+zLJfXKanYOY12HUZfIog+4h70D9evgz5S9Rmxf1hyLfZl5ppOaaqga4LKOIPnroM+UrUZsX9IleP5IRm/f0j0kSu1Z+QeQ/aP7N+zZc259JFDWcuVerKfV4Y+AgAAAAAAAABVlduXK33sscfUpEkT9e/fX//9739Vu3ZtTZ48WXv37tVPP/2kCRMmEHBDtedoECWgWYCaPtZUOSdyypyJwNHAjCSFDgpV6JBQJX+aXOZMBI4Gg7xqeCnykUj5N/ZX4vOJZc44YoTrQNVjhPuK/gGjMsJ9VVL/sDm68Cj9Ax7j6fuK5weMzrD9I8zfqfbTPwAAAAAAAAAAZXE65DZ//nwlJSWpVatWmj17tpYvX64///nPOn/+vL7//nunvoCqrLRZApwZoClpYMbGmQGa0mY7cHYg1gjXgarHCPcV/QNG5un7ypnZcvzD6B/wHKP2D54fMAqj9o+IcRF/lC1h6VL6BwAAAAAAAADAGU4vV2o2m2UymVyvyGRSfn6+y8fjDyxXakyFlwgqSUmDQGUNzBRW0iCQs8v5lFaXs8v5VMR1GH2JIPrIlaF/XPl10EeqtuQvkg3ZPyy5Fu17YJ8kqdXCVjr+8nFD9g+JPlKd8fwo+zqM3j8k+khF8XT/KPwcMfmbFPV4lOH6R9bhLB2aeajE4wAAAAAAAAAAFcvty5VGRERc0Vd4eLhbLgwwqrIGZiTHMxGUZ2BGcjwTgbMDsFLJM444O8BUkdeBqov+Qf9A6egfV34dqL7oH2VfB6ovI/QPm8tnBDVK/0h8PrHMtgMAAAAAAAAAPM/pmdxgHBUxk1uLmf+PvfuOj6rK/z/+nklP6CWEloQgRQQ7ioqABSy4qOi6lhXR1Z/dddeKSBUVdfVrX8u6FBU76+qqsCgoihURRJFOCD2BQHqdmd8f2QmTTLtDkrl3Zl7Px8PHw9wy55zhfJJz53PmnMOUkp3idXzvwr0qXFyoDqd3UKezOnmdr8it0PZ/bFdieqJ6Xt9T9qSG8yadVU5te3GbqvOr1ePaHlFdRijcyZTETomSpOq91YYSM57cSaHWx7RW2dqykBJMUsNVD9L6p6nkpxJDCaaWaofVfxX5Wl0kWvou8eHNavHR+pjWKl5RbPg+MzSOkWjpu+Eqw9dr+xLu+PBcgWfAiwNkT7JbMj7K1pbJUe69hZ2VeMZINPXdcJXR95G+Xuca4++H/3ZYPT6kgzESbX3XzDI8mRUf/lYEtVJ8JHdPVtmGMsP3AwAAAAAAAACaV7Ov5GaWHTt26Mknn9SoUaOUmZmpxMREZWRk6KKLLtJ3333n857i4mL99a9/VVZWlpKSkpSVlaW//vWvKi72P0Fg3rx5OuGEE5SWlqb27dvr3HPP1fLly/1ev2HDBl1yySXq3LmzUlJSdOSRR+rZZ5+V0+n0eX1VVZWmT5+uvn37Kjk5WV27dtW1116r3bt3h/aGtJCCjwq8jrmcLu1+c7eq91Rr95u75XJ6T0Iq+KhAVdurVLKiRCU/l3idL1lVopIVJaraXhX1ZYQiNSdVmbdmqnJbpSq3VSrz1syQEjNS3UoErY9prZKfSuSscIaUgJUOrjjirHCq5KcStT6mdUgJpuZuR6SJpr5LfHizWnyU/OT9vltZNPXdcJVhFPHhvx2RItr6brjKMIL48N+OSBGNfTdcZQRjVnzYk+waOHugBs4eqIR2CZaMj6w7skK6HwAAAAAAAABgDstPcnvmmWf0l7/8RZs3b9bIkSN1xx13aOjQofr3v/+tk08+WW+//XaD68vKyjR8+HD93//9n/r166e//OUvGjBggP7v//5Pw4cPV1mZ9ze0H3roIV1xxRXas2ePbrjhBl1yySVatmyZTjnlFH3++ede169Zs0aDBw/W+++/r7POOku33XabJOnWW2/VDTfc4HW90+nU+eefrylTpqhDhw66/fbbNXToUM2aNUsnnniiJSa6tTq8ldcxm92m1L51CYPUvqmy2W1+77Mn25Wclex1Pjk7WfZke0yUEQpHhUP58w9uQZg/P1+OitBW2CjfXK6ytQf7875F+0K6v/E9ZWvLQt7OqiXaESmiqe8SH74RH4cumvpuOMswgvg4iPiwTt8lPhoiPg5dNPbdcJURDPFxUHO0AwAAAAAAAAAQfpbfrnT+/Pnq3LmzTj311AbHv/zyS51xxhlq3bq1du7cqaSkJEnSlClTNH36dN1999165JFH6q93H588ebKmTZtWf3zDhg0aMGCAcnJy9P3336tt27aSpF9//VUnnHCCunbtqrVr1yo+Pr7+nuHDh2vp0qX66KOPdO6550qSampqdM455+izzz7T4sWLddppp9VfP2vWLF1zzTW69NJLNW/ePNlstgbHx40bpzlz5hh+T1piu1JfWzFKkrPWqeo91Urskih7vO85kVV7qhSXFqf4VvE+z9eW1spR5lBSl6SoLqN8c7mhVQQ8t7HKvitbkpT7WG5I22G5t+lx37Nv0T7lz88Pabsf9zY96WPT1XFkxwZ1MqMdVt8iyFeMREvfJT68WS0+su7I0pob1hiqu1kax0i09N1wleHvtT2ZER++tiu1YnzsW7RPe97bE/Q+M3nGSDT13XCVkdzdexKQJ/5+BG6H1eNDOhgj0dZ3zS5DIj6MtMPiH4sAAAAAAAAAQFQzOg/K8pPcAjnrrLP03//+Vz/88IOOP/54uVwu9ejRQ8XFxdq9e7fS0tLqr62srFS3bt2Umpqqbdu21U80u++++/Twww9rzpw5GjduXIPXv/HGG/XCCy9o4cKFGjVqlCRp/fr16tevn0477TQtXry4wfXfffedhgwZossuu0zz5s2rP37yySfrm2++UW5urrKyGm6FMmDAAG3evFkFBQVq3drYlo3hnOQG49bcuCZogqZxYsZ9beNkS6AEjb9rPZNGwRJNvq71V7dwtSPSJvAgNMRH09ux+qrVAettNmKkaYJNBDUrPhpPctu7cK8l40MSMRLD+PsRvB1Wjw+JGGkpxIexdkTCRFAAAAAAAAAAiFZG50FZfrvSQBISEiSpfpW1DRs2aOfOnTrllFMaTHCTpOTkZA0bNkw7duzQxo0b64+7tyN1T2LzdNZZZ0mSvvjiC0PXn3DCCWrXrl2D6ysrK/Xdd9+pX79+XhPc3K9TVVWlb7/91kiTYWHJ3ZOV+1iu3y13AiVxUnNSlX1Xtip3VGrr41v9brkTKImTPiZd6WPTlT8/X/kf5Pu8X/KfjIpLiVPWHVmmtwPRyex+RXzA6iIhPgo+KiA+YBqrxwd/P2BFxIfxdgAAAAAAAAAArM/3vigRIC8vT59++qkyMjI0aFDdt/43bNggSerTp4/Pe9zHN2zY0OD/W7VqpYyMjIDXuwUqw2az6bDDDtPy5ctVXl6u1NRUbdq0SU6n01CdRo4c6fOaqqoqVVVV1f9cXFwsqW6L1JqaGp/3hCpJvrfAgXF97+yrbc9s055n9yjztkylZh9MvjgqHdr17C7ZCm3qd0+/BufcknKSlHRPkvKezlP+s/nqeWtPxSUfTL6U55Zrz7N71D6nvdc5t55jeio5IVkFHxQoOSFZnc/p3OB8wScFKvmkRJl/yPQ6J0lKMa8dzdWXWwox0jTER9PbQYxEt/Y57S0ZHw4dnCxQ8l/rxodEjES7Lc9usVx8uFn974dk/fiQiJGmKs8tJz6a0I5IiBEAAAAAAAAAiFZGP6ONyO1Ka2pqdOaZZ2rp0qWaO3eurrzySknSvHnzdMUVV2jixImaMWOG130PPPCAJk+erHnz5umyyy6TJCUmJio9PV3bt2/3un7btm3KzMzUqFGjtHDhQknS//t//08vv/yyFi1apDPPPNPrnjPOOEOLFy/Wzp071bVrV3399dc65ZRTdMUVV+i1117zuv7VV1/VuHHj9NBDD2nChAk+2zt16lRNmzbN6/i8efOUmup/SxcAAICmqKys1KWXXipJevPNN5WcnGxyjQAAAAAAAAAAAABEk/Lycl1++eVBtyuNuJXcnE6nrrnmGi1dulTXXXdd/QS3aDZhwgT99a9/rf+5uLhYPXv21KhRowL+44bipHknSZJK15WqfEO52p/SXgntE7yuq9lfo/3L9iu1T6pa9Wvldd7ldGn/0v2SpPbD2stmt3ldE+1lOCod2vbMNlXuqlSP63to7wd7Vbmr0mtVgkDKc8uV93Sekrsmq9OYTtr+4nYld032u/KALwWfFKjggwJ1HlO3YoL7/32uoOBDuNvxzeXfGHpNs5w076So77vhKIP4OPR2WD1GBk0ZFNV9NxxlWDE+nLXO+uMzi2YqrjL4a5jVDqvHSO/Le0dt3w1HGVaMDyky/n5I1o8PSTr+ueOjsu+Gq4zcx3KJjya0IxJiBAAAAAAAAACilXtHy2AiapKby+XSddddp9dee01//OMf9cILLzQ437ZtW0lSUVGRz/vdb4r7Ovf/h3q9kTLck88OpU6NJSUlKSnJe/uehIQEJSR4J1AORZWqVFNYo3WPrJOc0r6f9ynnvhyv6zb/fbPK15dLdqnf3/opoUPD8vct3qddr+2SJFXWVqrjmR0bnI+JMpKl9FvSteWhLVr38DpJUs7kHMVlx6lKVTIiLjtOXW7pos3TN2vfr/uU3DNZ6bekqza5VrWqNfQabc5po8qaSuW9lSdJSh+brjbntDFch3C3o7n6ckspLSyN/r4bjjKIj0Nuh9VjJOr7bjjKsGh8uFWrWnbZg7+ASe2weoxse3db9PbdcJRh0fiIhL8fkvXjQ5I2/n1jdPbdMJVBfDStHZEQIwAAAAAAAAAQrYx+RmsgU2kNTqdTf/rTn/TPf/5Tl112mWbPni27vWH1+/TpI0nasGGDz9dwH3df5/7/0tJS7d692/D1/spwuVzauHGjunXrprS0NElS7969ZbfbQ6oTAAAAAAAAAAAAAAAAAKCOzeVyucyuRDBOp1PXXnutZs2apT/84Q96/fXXFRfnvdWIy+VSjx49VFxcrN27d9dPNJOkyspKdevWTSkpKdq+fbtstrrtXyZMmKCZM2dqzpw5GjduXIPXu/HGG/XCCy9o4cKFGjVqlCRp/fr16tevn0477TQtXry4wfXfffedhgwZossuu0zz5s2rP37SSSfp22+/VW5urrKyshrcM2DAAG3evFn5+fmGtx4tLi6uX4GuubYrHTRnkCSpdE2pyteXq/3wANvsfLFfqX1T1WqAj212HC4VLimUJHU4rYNscT622YnyMhwVDm19fKsqd1Qq89ZM5c/PV+WOSmXfla3UHIPb7GwuV+5juUrunqz0senKeyZPyd2TlXVHluJSjG0XlP9BvvLn5yt9bHrdz//7//Qx6YbuD3c7Vl+12tBrmmXQnEFR33fDUQbxcejtsHqM9LqnV1T33XCUYcX4cNW6VPBBgSRpwIsDZE8K/v0Is9ph9RjpcmGXqO274SjDivEhRcbfD8n68SFJ/Z/sH5V9N1xlbJ6xmfhoQjsiIUYAAAAAAAAAIFoZnQdl+Ulu7hXcZs+erd///veaN2+e4uP977I6ZcoUTZ8+XXfffbceeeQRr+OTJ0/WtGnT6o+vX79eRxxxhHJycvT999/Xbxv666+/6oQTTlDXrl21du3aBmUOHz5cS5cu1UcffaRzzz1XklRTU6Nzzz1Xn376qRYvXqzTTjut/vpZs2bpmmuu0aWXXqp58+bVT7BzHx83bpzmzJlj+D1pyUluaBrPxIw7GePrWCCeiRl3MsbXsUA8E0zupJKvY1Zqh9UTS8RI0xEfTWsHMRLdrBofziqn1ly/RpLUeUxndRnbxbLtIEaim3sCj5Xiw98xf4iPwIiRpllz4xriowntiIQYAQAAAAAAAIBoFTWT3KZOnapp06apVatW+vOf/+xzgtsFF1ygo48+WpJUVlamoUOHauXKlRo5cqSOO+44rVq1Sp988omOPvpoffXVVw1WeJOkBx98UPfff78yMzN18cUXq6ysTG+88YYqKiq0cOHCBhPWJGnNmjU6+eSTVVFRoUsuuUTdunXTggUL9PPPP+vaa6/Vyy+/3OB6h8Oh0aNHa+HChTrxxBM1YsQIbd68We+99566d++u77//XhkZGYbfEya5WVOgJIzRBE2gJIzRBE2gZJKRRJNZ7bB6YokYaRrio+ntIEaiW+MJPG7Eh/F2ECPRzXMCjxvxET3xIREjTVW+uZz4aEI7IiFGAAAAAAAAACBaRc0kt/Hjxwdd5WzWrFkaP358/c9FRUWaNm2a3n33Xe3evVsZGRm6+OKLNWXKlPqV2hp7/fXX9eSTT+rXX39VYmKiTjrpJE2fPl2DBw/2ef369es1ceJELVmyRKWlpTrssMN0/fXX6+abb5bd7r2VV1VVlR555BG9+uqrysvLU/v27TV69GjNmDFDXbt2Nf6GiEluVuVvgoJbsASNkeRLsGuMJJECXWMkidRS7bB6YokYaRrio+ntIEaim68JPG7Eh7FriJHo1ngCjxvxYewaq8eHRIy0BOLD+DWRECMAAAAAAAAAEK2iZpIbvDHJzZoCTVBw85egCWU7IH/XhrIdkK9rQ9kOqCXaseaGNQHrbDZipGmIj6a3w+rJV2KkafxN4HEjPoK3gxiJXcRH8HZYPT4kYqSlEB/G2rHnvT0B6w8AAAAAAADAmLKyMrVq1UqSVFpa6rXTIuCL0XlQ3kuOAR6ctU5V7qiUs9bp95qqPVWqLan1e762pFZVe6qivoxgiRlJikuJU9YdWUrunqzcx3JVvrk8pMSMJKXmpCr7rmxV7qjU1se3ylHhCCnBJEnpY9KVPjZd+fPzlf9BfkgJppZqRySKlr5LfDRkxfhwVDiC1ttqoqXvhqsM4qPp7Ygk0dR3w1VGIMRH8HZEkmjru2aXQXwYawcAAAAAoKGysjLZbDbZbDaVlZWZXR0AAABJrOQWkVpiJbfuV3VXh9M7eB3f/PBmla8rV2q/VOVMyPE6X7i4UDvn7pQ92a7e03srKT2pwfmq/CptmrxJzkqnuo3rFtVlhMKd1CnfWC5JSj0s1VBixpM7qeOsqEtqGU0wefJM6thT7IYSTJ6asx2OcmtP4vG1uki09F3iwzcrxYezwimr/7luHCPR0nfDVYav1/aF+DiocTsiKUaiqe+Gq4yBswd6nWuM+Dgo0uJDOhgj0dZ3zSzDE/FxkK92sJIbAAAAADTEKjwAgEPF3xAcClZyQ0hKfyv1OuZyulS+vi55UL6+XC6nd3LMfZ+z0qnKrd6rbFTmVspZ6YyJMkIRlxKn9LEHE0LpY9NDSsxIdSsRpPU/+Aeh48iOId3f+J60/mkhJZiklmlHpIimvkt8+EZ8HLpo6rvhLMMI4uMg4sM6fZf4aIj4OHTR2HfDVUYwxMdBzdEOAAAAAAAAK2M1RgDRiklukCR1Ht3Z65jNblPGpRlKzEhUxqUZstltPu9L6pGk1se2VusjW3udb31Ua7U+trWSeiRFfRmhKN9crrxn8pTcM1nJPZOV90yeyjcbT+JKdasglPxUotbHtJY9xR7ylobuVRDsKXa1Pqa1Sn4qCXk7q+ZsR6SJpr5LfHizWny0Psb7fbeyaOq74SrDKOLDfzsiRbT13XCVYQTx4b8dkSIa+264ygiG+AjcDgAAAADRhckdAAAA0YntSiNQS2xX6msrRoQm/4N8Q9v1uLfHSe6erKw7siRJWx/fqsodlYa363Fv8+PeIqjxawZbzcCdYPIss/FrhrsdVt8iiBhpGuKj6e1YfdXqoPeYiRhpecRH4HZsmrYp6H1mIkZaFvERuB1Wjw+JGGlJxEfwdjjKjU/WAwAAAGB9bJPWdLyHQGQjhmEm+l/TxeJ7yHalQJjlz88PuhKBr2RQXEqcsu7IUnL3ZOU+lht0JQJfyaDUnFRl35Wtyh2VQVdU8JVgkqT0MelKH5tuajsQvYgP4gOBER9NbwdiF/ERvB2IXcSHsXYAAAAAAAAAAKyPSW5AMwmWoAm02oHRBE2giS9GEk3+Ekz1bTCQaGrpdiA6md2viA9YHfFBfCAw4oP4QOiID+PtAAAAAAAAAABYH5PcgGYSKEFjZDufYAkaI4nLQImmYAkmK7UD0ccK/Yr4gJWZ3a+ID1gd8UF8IDDig/gAAAAAAAAAgGjHJDegGflK0BhJzLj5S9CEkpjxlWgymmCyUjsQfazQr4gPWJUV+hXxASszu18RH7A64oP4AAAAAAAAAIBoZ3O5XC6zK4HQFBcXq23btioqKlKbNm2a5TUHzRkkl8ulXa/vUukvpcq4JENtjvV+7eIVxdr99m61GthKXa/oKpvN1uB8TWGNtr2wTZLU88aeSmif0OB8rJThTqa0Pqa1ytaWGUrMePJMCqX1T1PJTyUhJ2bcSaHETomSpOq91YYSTGa1Y/VVqw3XywwDZw80vV9FSxnEx6G1w+ox0nFkx6jvu+Eog/g49HZYPUaSuiZFdd8NRxnEx6G3w+rxIUlZf86K2r4bjjKIj6a1IxJiBAAAAIBxZWVlatWqlSSptLRUaWlpJtco8vAeApGNGIaZ6H9NF4vvodF5UKzkhnpVO6tU+GmhqndXa/fbu31es/vt3areXa3CTwtVtbPK63zhF4UqX1+u8vXl2v/F/pgtI31Mulof01olP5XIWeEMKTEjHVyJwFnhVMlPJWp9TOuQVx5IzUlV5q2ZqtxWqcptlcq8NTOkBJNV2mEVVuhX0VKGFfoV8dH8zO5X0VKGFfoV8dEyor3vhqMMK/Qr4qPlRHPfDUcZVuhXxAcAAAAAAAAAoCUxyQ31EjomKKFj3YoBrQa28nmN+7jntZ7S+qXV9Sq7lNrXO6ERK2WUby5X2dqy+p/3Ldrnsx6BeN5TtrasfssdoxwVDuXPz6//OX9+vhwVjpBewwrtsAor9KtoKcMK/Yr4aH5m96toKcMK/Yr4aDnR3HfDUYYV+hXx0XKiue+Gowwr9CviAwAAAAAAAADQktiuNAK11HalkuSodKhmX42SuiV5baEj1W2TU7WzSgkdExSX7Psb9TWFNZKkhA7eyZtYKMO9TY97a519i/Ypf35+SNv9uLfpSR+bro4jO9ZvuWN0ux/PbXqy78qWpAZ1MrIaQrjbYfUtggbNGRT1fTccZRAfh94Oq8fIgBcHRHXfDUcZxEfT2mH1GOnzUJ+o7bvhKIP4aFo7rB4fUt3W8NHYd8NVxpob1xAfTWhHJMQIAAAAAONicYuv5sZ7CEQ2Yhhmov81XSy+h0bnQTHJLQK15CQ3NE3jxIw7meOZbAmWoPF1beOkUaAEjb9r/dXNKu2wemKJGGk64qNp7SBGohvx0fR2ECPRzXMCD/ERffEhESNNtXnGZuKjCe2IhBgB4C0WP/AFAADGME5oOt5DILIRw00TMe/f1LZm18CnsmqXWj1cIkkqndBaaYneXwq2jKlFZtfAp4jpg83I6DwotisFmkmgJE76mHSlj01X/vx85X+Q7/c1/CVx4lLilHVHlpK7Jyv3sVy/W+4ESuKk5qQq+65sVe6o1NbHt/rdOsgK7UD0sUK/Ij5gZWb3K+IDVkd8EB8IjPggPsxSVlYmm80mm82msrKy4DcAAAAAAAAAwCFikhvQTIKtUhAsQRNslYJgCRojqxQESzQZWW2hpduB6GR2vyI+YHXEB/GBwIgP4gOBER9NawcAAAAAAAAAwPrYrjQCsV2pNTXeIsgfX0mYULbh8ZVMCmU7Icl3MimU7YRaoh2bpm0KeL3ZiJGmIT6a3g6rb6NFjDSNo8JBfDSxHWtuWBPwPrMRIy2L+AjcDqvHh0SMtCTiI3g7yjawAtmhisWtE2Ad9D8AAOAP44Sm4z0EIhsx3DQR8/6xXWmLKqly6ezXy/VLvkOLrkzTCd3jfB4L5PsdDo18tUwD0+O04IpUtU6y+TzWmOd7OGlYoh5YWq0HTkvS/cOSJEkzllZp0pKqBsfMaMcJL5cGvC8URudBMcktArXEJLcBLwzwmVSoyKtQ8Y/FanNcG6Vkpnidd1Q4VPhZoRI6JajdkHY+X/vAtwdUs7dGHc7oENVlGJmg4OaZjJFkODHjWZY7QZN5a6by5+cbTjC5eSaV0semK++ZPMMJppZoh6Pc2iso+Eq8RkvfJT68WS0+Mm/N1JZHthi6zyyNYyRa+m64yvD12r4QH/7bYfUJCp4xEk19N1xldLmwi8/7PREf/tth9fiQDsZItPVdM8vwRHwEbofVn0WsLGI+9EVUov/BbPRBALCuSPodHehLX2Y+RzmrnFpzfd2X5lJyUlS1q8qSz4N73ttj6H4g1kTS70Eripj3r9Ektzd/qdGW/U7dckKiz4lTq3Y7NP+3Go09PEFHZXj//i2pcunZ76vVq71dlw5M8FmkkTLe/KVaM5fVSPKe5NZcZTRXOyacanyC2PxLUjX58yrDE8PcPCeITR+RpLFvlwec4CZ5TxT8v2+r6ye1STI8wa2l21FU2XzTzZjkFsVaYpJbxzM6qtu4bg2OuZwurb11rRxlDsWlxan/M/1lszcMsp1zd6pwcaEkKfuebLU6vFWD86W/lSr3kVxJUofTO0R1GY1fMxj3gFxSSIkZN0eFQ1se2qLKbZWSpJzJOYYfKNzKN5dr8/TNkqTknsnqdV8vww8Ubs3Vjoq8ipDuC7fGD5rR1HeJD9+sFB+V2ypl9T/XnjESTX03XGUc/tzhMor4qNO4HZESI9HWd8NVxsDZA2UE8VEn0uJDqouRaOy74SrDyN8R4qOOr3ZYfVVpK4uYD30Rleh/Tcd72DS8fzAbfRBW4P68w2rPUe2Ht9f+L/ZLkga8OED2JHvEPA82ZtZzlOckt35P9qv7wpAFnwetvgMKYBbGCU0TMe+fxyS3JVtqdfrccknSjccn6PnRDb8U63S51PmxUhVWuNQhxaaCu1rJbmv4N+qmjyr09+V1k9OWXJWqEdnxDc6HUoZb40luzVlGc7TDNSX4fJuSKpeGzirTz3uckqTvrjU+Mczt+x0OnfiPui+jH9nFrq+uTvM7wU3yvRqee/U2SSFNcGvJdqza3XxfHjY6Dyre7xkAAAAAAAAAAAAgykRM8hpAROJ3TOx45vpPZbfZGxx768un9OWaDyRJt/3ucfXtdnSD8+t3rtTTH94hSTp1wBj94dQ/NzjvdDl175yxKq8qUWpSa828an7IZfya9139/486/hJdPvyOZi+jOdpx8wunC83DFoYdQSkDVsBKbhGI7UqtWQbbMbJdaWOR0neJD29Wiw+2K43u+GC70tjYjpHtSptWBtuVRnd8SGxX2hJleCI+ArfD6s8iVkbipml4/5qG96/peA+bhvcPZqMPNg3vX/NwP8tZ7Tmq3dB2Wnf7OkkHV3Jr7jJash1ubFcavB1W3a6U3zFNE0nv33M3LPY6Vlldri9+fV8dW2fo+MN8T+JavnGx9pXs1vAjLlByoncsbd+3Sau2fKWjeg1Vj469Qy6jqqZCd/zzPEnSg398R23TOjR7Gc3RDqtOcouYPngI25X+a22NLuzfstuVvvVrtR7+qmW3K22udrBdKduVIgxaYpKbrwk8CM3mGZsNDcg9B+Luhwhfx/zxTMy4HyJ8HQvE84HCXWdfx8LZDqtvEUSMNA3x0fR2WH3ZdWKkaYxMBCU+ArdjzQ1rAt5nNmKkZREfgdth9fiQiJGWRHwEb0ckTAS1qoj50NeieP+ahvev6XgPm4b3r2l4/5qO97BpeP+ah1Wf5TwnaHlOcoskZj9Heb6HtmSbet3dy5LPg1ZNc/M7pmki6f3zNcnNCjwnuT1+zX+UlGDsi/bhxiS3Jmo0yc0qfG21GYk8J4a5J4P5OhaI58Qw96Q2X8ca83wPJw1L1ANLqxtManNvXWpkoltLtuOEl0sD3hcKo/OgIm9UB1hU5Y5KbX18qxwV/lcB8PfwkD4mXelj05U/P1/5H+T7vd/fw0NcSpyy7shScvdk5T6Wq/LN5X5fw9/DQ2pOqrLvyja1HYhexAfxgcCIj6a3A9GN+CA+cGiID2PtAAAAAAArscpzlFvW7VmWfR4EAKAl+JsE1jrJpgVXpGpgepxGvlqm73f4/xvmbzLbCd3jtOjKNP2S79DZr5erpCrwhO3GE9wk6f5hSXrgtCRNWlKlGUurTGuHGZjkBjSTYAPyYN+OCfZgEWzii5EHi2DfjjHyYNHS7UB0MrtfER+wOuKD+EBgxAfxgcCIj6a1AwAAAACswirPUXlP5x0ss5d1nwcBAGgKXxPEgq1yZmSCWLDV2kKZ6DZpWKLP1dqCTXQLRzvMwCQ3oJkEGpAbXf7Z34OF0cRloAcLo8s/W6EdiD5W6FfEB6zM7H5FfMDqiA/iA4ERH8QHAAAAgMhk2eeonZUB622V50EAAJqi8QQxo9t4BpogZnRiWKCJbo8sO1ine07xvx2pv4lu4WxHuDHJDQ04Khyq3FHpdw97l8ulyh2VclT6X66wprBGNYU1MVmGrwF5qAPxxg8WoSZmfD1YGH2gsFI7rCia+244yrBCvyI+Wk40991wlGGFfkV8tKxo7bvhKsPsfkV8tLxo7bvhKoP4iO74AAAAAKzK6s9RklS509rPg1Z9jsq6PSvo/VZ5HgTM5nK5tGt/rqpqKvxes7+0QPtLC/yer6wu1679uQF/l8RKGTBue7FT24udfs+XVLm0psAR8N9jTYFDpdX+VxGL9jI8J4gZnRjm5muCWKgTw3xNdJuxtEoPLK0OeJ+nxhPdzGhHONlc/noCLKu4uFht27ZVUVGR2rRp0yyvOWjOIDkqHNp4/0bV7KtRhzM7qNsfu3ldt/O1nSr8tFAJHRN02IOHKS65YUCUrilV7t9yJUnZd2ar1YBWDc7HShnuQbyzou4X5aEMxN2DeEmyp9hDTsy4H0bKN9Z9eyb1sFRDDxSewtmO1VetDul1w23ACwNM71fRUgbxcVAo7bB6jCR2Soz6vhuOMoiPg0Jth9VjxGazRXXfDUcZxMdB0RYfktRxZMeo7bvhKIP4OOhQ2hEJMWJVZWVlatWqrr+WlpYqLS3N5BpFFt6/puH9azrew6bh/Wsa3r+m4z1sGt6/5pHYKdGSz1HOKqfWXL+m/mcrPw9unrHZks9Ryd2T69/DAS8OkD3J/7opZj4PWvV5jt8xTRNJ799zNyzWO8ue1Re//EsdWnXRxEteUVJCSoNr1m1foec+vkeSdPO5j6hfj2MbnK+sLtdD71yrwtI9Gj7wQv3+lFu8ygm1jOwuh+uOf54nSXr8mv/I5XI1exkt0Y5gFqx4Tf/5YZYkKTkxTbeMflTZ6f0N319ZXa7nP75Xm/f8KknK6XKEbjp3ppITG352VFVT0eD986xnbv5aPfvR3aqsLpMknTf4ap197B9NacfW/Lp2LPxjqs7IiW9wTUmVS4P+XqqtRS7dekKinj4n2et1bvukUs98X62stjb9clMrtUpsOJHps821Ouu18pDLKKt2qdXDJZKkG45L0As/1jR7Gc3ZjhlLqzRpSd0qaG2SZGhiWOM6nv16ub7eVjeh/eSeoU8Mc08qK/7fYmyThiXWT3QrndBaaYnBX8uUdkwtMvz6wRidB8VKbqhXU1ijmn1130Yp/aXU5zXu4zX7Dl7rqWxdmeSU5JTK15d7nY+VMlJzUpXW/+CAq+PIjj7rEYjnPWn900JeeSAuJU7pYw8+AKSPTQ/pgUKyRjuswgr9KlrKsEK/Ij6an9n9KlrKsEK/Ij5aTjT33XCUYYV+RXy0nGjuu+Eowwr9ivgAAAAAYo+Vn6N8vVZzl9Ec7YiG5yirPA8CZvlt2w+SpMLSPSos3eN1fuPu1XK6nHK6nNq0+xev8/vL8uvvW7t9eUyXEcyIgWPr/79P16NCmhgmScmJqRp9/Pj6n0cfP95rglsw2en91afrUT7rZFRztcPhkhwu6as879VCtxU7tbWobr2r/26q9fk6C/93fGuRS3lF3qucfZlX2+QyPt3S8mU0tR1/PjGx/v9HZMeHNDFMqlsJbfqIg1uKTh+RFPLKZyd0j9OI7IOT7246PjHA1b5ZoR3hwCQ31EvqlqQOZ3ZQYkaiMi7J8HlNxiUZSsxIVIczOyipm/fevx2Gd1Bq31Sl9k1V++HtY7aM/A/yVfJTiVof01r2FHv9EstGub/1Yk+xq/UxrVXyU4nyP8g3fL9U962XvGfylNwzWck9k5X3TJ7KNwd+0LNiO6zCCv0qWsqwQr8iPpqf2f0qWsqwQr8iPlpGtPfdcJRhhX5FfLScaO674SjDCv2K+AAAAABij5Wfo9wS0hMs/TwYDc9RVngeBMx0wZD/py7temr4wAuV0c57q9+T+5+r3hkD1TtjoE4+/Byv8xntsjR84IXq0q6nzj/xupgqo7La+O8K9+plyYlpGpR1slZv/VoLVrxm+H6pbhW2lxdNVfcOOereIUcvL5qq3Py1Ib3GghWvafXWrzUo62QlJ6bp+Y/vNa0dQzPjNDQzTtcem+B1zeGd7Lr1hET162jXI2d6//2RpEfPTFK/jnXXHd7Je+rQtccmNrmMGae1fBlNaYd79bI2SdKYfvH6YF2tZiyt8lmOP9/vcGjs2+U6sotdR3axa+zb5fp+R2h/w2YsrdIH62o1pl+82iRJF7wV2t9Rq7QjHNiuNAK11HalaB7uZZ3dSym7l1hO7p5saHlm9wNF5Y7K+q11Gr9mMI3LlOT1mlZrh1WXlHYjRpoH8XHo7SBGoh/x0bR2ECPRjfhoWjusHh8SMdJUv4z/hfhoQjsiIUasKpK2kLGiSHn/fut/uNlV8Knc6dTxG9ZLkpb36atUuzW/y3v42t/MroJfkdIHn7thsdlV8CnQFkZWcvMLp5tdBZ8ipf9ZGe9h0/D+NQ+rPst5blcabKtNs22esdmSz1Gdx3RWwQcFkgK/h2Y/D1r1eY7fMU0TSe8fY9WmeeL923xuF9qYe2LYzv259Vt7urf8NLpdqHub0W7ts3XTuTMlyes13fy9f43LbPya4W7Hphu2Bb0egZ3yzzL9ku+o39rTveXnA6cl6f5hvifVeXJvMzowvW5rT0k6+/XyBq8ZTOMyv9/h0Jlzy1RSt1tp0O1K3RPcTGmHCduVxvs9AyBkvpIoqTmpyr4rW7mP5Wrr41sDDsh9PVBIqn+t/Pn5DX72xd/gP+uOLG19fKtyH8sN+mBhhXYg+lihXxEfsCor9CviA1Zmdr8iPmB1xEd0x4dVE4dSXfLQ7YTXT7Bs8tCqiS8AQASY2tbsGvhX7bF+wYNdpQCJL1M1Y+ILiEZWf44KxArPgwAi2879uXr+43sDThDzNTFMUv2EsP/8MKvBz774m4x207kz9fzH9+rZj+72mujWmK/JaNnp/XXL6Ef17Ed3m9IO6Qq/18KYxpO43BPCJi2pavCzL40nhrm39lxwRarOfr1cI18tCzrRzddktBO6x+nTcWn1r+0MsGyZrwluZrQjnKz56SMQgQKtEuAekFfuqPS7xLK/Bwq39DHpSh+brvz5+X6Xig707Za4lDhl3ZGl5O7Jyn0s1+9S0VZoB6KPFfoV8QErM7tfER+wOuKD+EBgxAfxAQAAYFUlE9rUTRb0+K9kQhudkhmvtsk2fX9dK6/zmtpWM05Pls1m04zTk32e//66VmqbbNMpmfGHVsaDXevr+Mi5HVqmjGZoBw6NPcmugbMHauDsgZb9IoabVZ+jOo/pHLDeVnkeBBDZbhn9aP1EN19bfvqbGOZ29rF/1HmDr9Z/fpjld8vPQKutJSem6qZzZ6pb+2w9+9HdfrcuDbTamnuim5ntwKHzNXnr/mFJeuC0JE1aUuV3y09/E8MkqXWSTQuuSNXA9DiNfLXM75afgVZbO6F7nBZdmaZf8h06+/VylVR5z3TzN8Et3O0IN2uP7IAIEmwbnEAD8mAPFG6BEjRGlm8O9mBhZDuflm4HopPZ/Yr4gNURH8QHAiM+iA+Ejvgw3g5Ev0FzBnn913tKb8WlximtT5oGvDCg/viAFwYorU+a4lLj1HtKb5/3uv/rclEX2Ww2dbmoi6HXbvzfcf84rr6OA2cMNPTaZrQDAICm8EyUeR4LlDAzsr1SoMRfsIRfYw8srfZK/AVK+IWzHYg9VnmO6jz64CS3go8KGpyz0vMggMgWaIJYsIlhboEmiBmZGBZsotuilW8G3U7UCu3AofE3Tgw0Qcwq40Qj492WbocZbC6Xi1FyhDG6F20orLz9SaTI/yDf0PY3jQf/kgw9UDQuy3Pwb+SBwpOvhxgjDxQt2Y497+0Jer2ZiJGmIT6a3g6rb7FEjLQ84iNwOzZN2xT0PjMRIy2L+AjcDqvHh0SMtCTiI3g7HOXmfzgTiJXjw1nl1Jrr10iSBrw4wPKrZDRmdnx4vn+2ZJt63d3LcvGR3D1Zy+Myg95vhnKnU8dvWC9JWt6nr1Lt1ux/ZU6H/t+27dpQXaV/9OipI1NSgt7zwr69enrvXt3WqZNu6NhJP1dU6Nrt29QnMUkv9eyhNHvg37u+ymz8mlLg97BxmZJMa8efrvpP0LLMUFVToTv+eZ4k6fFr/qOkhODviZkarz4RaqLMV3Iu0IoWvniW+aeRUzXxtd9LkpISUnXreY8F3B7KrHbcnHFh0DqZpazapVYPl0iSSie0VppVtysNwFdyzkjCz1Pj5JwkQwk/z/dv0rBEPbC0ur5MIwm/cLVjWV5t0HvNZOWxaqSz+nOUVZ4Hrfo8V1ZWplatWkmSSktLlZaWZnKNfPut/+E+x4mBhGOcaJMt4Fjf6Hg3HO3oe9FbQa8zQ6SNVb234ZShiWGemnOc+P/OekBPf/jX+nOHMt4NRzusPFaNFo3HdFYaJxr9QkdLtuP+xZVByzbK6DwoJrlFoJaY5HbYtMOUku39x23vwr0qXFyoDqd3UKezvAcEFbkV2v6P7UpMT1TP63t6faDtrHJq24vbVJ1frR7X9ojqMkLhHpAndkqUJFXvrTb8QOHmfghofUxrla0tM/xA4eb5YJHWP00lP5UYfqBoiXZY/VeRr4f1aOm7xIc3q8VH62Naq3hFseH7zNA4RqKl74arDF+v7Qvx4b8dVv1Ay80zRqKp74arjL6P9PU61xjx4b8dVo8P6WCMRFvfNbMMT8RH4HaUbSgzfL8ZrBwfkhpMcpNEfIQQH56T3FJyUlS1q8py8ZF1R5Ycf96snokJerRrN6U0Si5VOJ26e9dObauu0UNdu2pAcrLX684pLNSbB/br0nbtdVWHDl7nf62s1MRdu0Iuw3OC1l86ddb8ogPNXkZztOPC3C3aUVNjOFHm5k7SndaqlX4oLzc8MczNM/E3ODVVS0pLvRJ+wSYKuhN/3RMSJMm0dnx3+gtexxf//K6+XPOBTh0wRqcfebHX+byC9Xrt80fVqU03jT/9PiUmNPw3ra6p1OzFD2lv8U5dOeJu9ezsPd4MVsbGXav15Ae3S5IevvI9tU5t1+xlNEc7PLkTZoOyTtaGXatCXgnCM/HXp+tRWr31a8MJPzd3kq59Wmft2p8rSbrtd0+ob7ejDL9GONvhmTj8cadDV/+7Qr072PX62BSlJjRMBJXXuHTF/AptKnRq9gUpOrardz//v2+q9PflNbrx+AT95STvhFYoZfx9dLKGzqpbJcRzkltzltEc7fjXHwL/u3gmzEZkx+uDdbWGE35u7iRddru632O5B5xBE36NJwn+37fVmrSkSmP6xevz3FrDCb+WbkdRZWR8bh4tz1FWKMOTlZ+jrPI82OuJfFPGosHK8BxnvdozUw/s2WPJMfXNO7b7HCcG09LjRCNfaDEy3g1HOxaPeM7rWDjGosHKKCk/oAmvXiRJ+suYJ9W7q3ee0wpjak/ucWLHVl0kSftK9xieGObWXOPEHYVbVFVTN85yr7BmVDjb4TlWDfdYNFrK+PnGVl73N+aeIGa1caLRCW4t2Y7mnONhdB6UNb/iiLBrvNSwJLmcLu1+c7eq91Rr95u75XJ6d9CCjwpUtb1KJStKVPJzidf5klUlKllRoqrtVVFfRihSc1KVeWumKrdVqnJbpTJvzQzpgUKq23Kn9TGtVfJTiZwVzpAeKKSDS0U7K5wq+alErY9pHdIDRXO3I9JEU98lPrxZLT5KfvJ+360smvpuuMowivjw345IEW19N1xlGEF8+G9HpIjGvhuuMoIhPgK3IxJEa981qwxPVogPScq8LdOS8RGXEqf11VX6rLRUS8tKve75oqxUn5WWan11lV4u3Od13uFy6bGCfG2tqdFjBfly+Pjw8x+F+5pUhiQ9ubegRctoSjvWVVXpqW7dQ0qUSdINHTvptFattKS0VKVOZ0gTwyQpzR6nl3r2UKnTqSWlpTqtVauQEn6SdGRKip7q1l3rqqpMbUdjTqdD//r2RRUU7dC/vn1RTqf3hP5FK9/UzsIt+jl3mX7d9p3X+V/yvtPPucu0s3CL/rvyzUMqY/HP79b//287fmiRMpqjHZ7OPvaPGpR1slZv/VqV1WUhb3Xk3sqpsrpMq7d+rUFZJ4c0wU2q28rpupFT6ye4SVJWkMl5jZnVjkeWVWl1vlPvr63Vxxu8V9f6aH2t3l9bq9X5Ts38qsrrvMPp0p2LqrSh0Kk7F1XJ4eNvVChlPP5Ny5fRHO0Ixr0FUnGV9MG6Wo3pFx9Swk+q28pp/iWp+nmPUz/vcWr+JakhJfykuq2cxvSrS9YVVymkhF9LtiNSRMs40QpleLLyc5RVngfNHosaKWP2/kLLjqkjfZxohfGuWWPRYGVs2LWq/v8//+VfLVJGc7TDk3ucuKNws3YUbtZ1I6eGNDFMar5xonuCmySNPPrSkOpgVjvCPRaNljKMsOo40QrjXTMwyQ2SpFaHe89QtdltSu1b98sytW+qbHbvDu6+z55sV3KW9zcLkrOTZU+2x0QZoXBUOJQ/P7/+5/z5+XJUhLbCRvnmcpWtPbjiwL5Fvj/oDcTznrK1ZSrfXB7gam8t0Y5IEU19l/jwjfg4dNHUd8NZhhHEx0HEh3X6LvHREPFx6KKx74arjGCIj4Oaox1miNa+a1YZnqzSrwoXF9b/vxXjI9Vm1+FJ3v8eA5KSlWqr+/c4MdX791Gczabj/pckOi4lRXE2738P932HWoYkHfO/lShaqoymtuPZvXtVFiSh09jPFRX6ofxgP3h1//6Q7m98zw/l5fq5oiKk+8ucDj27d2/9z2a1ozG7PU69M+pWouidMUh2H8nQvt2PkSQlJaSoR8c+Xud7dupTv2WT+9pQy+jjsfJY9w69W6SM5miHp9z8tY0SnvO97gnG854Nu1YpN39tSPdXVpfro+WzGx0LrW+a1Y7Te9UlcVolSsdkeP97Hds1Tq0SG17rKc5u06mZdfedmhmnOB9/o0IpY3hWy5fRHO0w4qnvDn656fPcWn2/I7TfNSVVLk3+/GASdPLnVSqpCu2Lt9/vcOjz3INJUM86GdUS7YgU0TJOtEIZjUXLc1RLtcPssaiRMgabPBYNVkYkjxOtMN41aywaLWV4ajxO/Gj5bFVWh/a7ornHiZK0tWB9SPeb1Y5wj0WjpQwjrDpOtMJ41wxsVxqBWmK7Ul9bMUqSs9ap6j3VSuySKHu87zmRVXuqFJcWp/hWvmdq1pbWylHmUFIX37NRo6WM8s3lhr794rksc/Zd2ZKk3MdyQ1re2b0ss/uefYv2KX9+fkjLO7uXl04fm66OIzs2qJMZ7YiULYI8RUvfJT68WS0+su7I0pob1hiqu1kax0i09N1wleHvtT0RH4Hbsee9PYbqbxbPGImmvhuuMpK7B/7Ql/gI3A6rx4d0MEaire+aXYZEfBhph9U/FrFyfHhutzngxQGyJ9mJjxDiw/P9k2TJ+Egfm645P7VS27g4tYvz/ToHHA4VORzKSvT9CXG1y6Wt1dXKSkxUoo+EnCRtra4OuQzPLYy+OayP8mtrm72M5miHewukULbpbHzPq/v36+m9e0Pafsm9/dNtnTrpyvbt67dy8tx+KdA2UJ7bP/2jR932xGa1o+9Fb3kdr3XUqKBohzq37a74uASf9xYU7VBKUiu1Sm7r83xpZZEqqkrVuW13n+eDlVFVU6E7/nmeJOnxa/5Tn+BrzjKaox1u7m2T3Fsdff7LfP3nh1khbTfq3jbpvMFXa8TAsfVbfhrdfslzm9D/d9YDevrDv0qSstMP1y2jHzW0yka42+G5BZQkbSx0qn2y1DHV99+XfeVO7a+UDuvg+3y1w6UN+5zq09GuxDjfv0uMltG1la3Bdpvu7Uqbs4yWbIebe9ukB05L0p9PTKzfAsno9kue2yYtujJNkjTy1bKg2y95blf6+VWpGvNmef09T31XXV8no6tstFQ7ImW7Uil6nqOsUIablZ+jrPI8+Km6mzIWDVZG43FWQW2tJcfUjcd8RlYxC8c40ch2pUbGu+Fox95z/unzXEuPRaOpDKnhOPGW0Y9KUoMxX7jHiWcf+0ctWPGaJCkpIVW3nvdYyOPdcLSj8Vg1nGPRaC/Dzb1NqBXHiaFsN9pS7ViW13wT3YzOg2KSWwQK5yQ3GLfmxjVBB+SNB+Luaxs/JAR6sPB3redDQrAHC1/X+qtbuNoRaRN4EBrio+ntWH3V6oD1Nhsx0jTBJoISH8HbQYzELuIjeDusHh8SMdJSiA9j7bD6RFArx4evSW6Rwgrx4fn+dR7TWV3GdglYN7PasaZfaNuqhIuRxJdVhDLRzd+1nkm8YBPEfF3rK4Hp7z30l+w0qx3PXv9ZwOvMYmSSm1U0TpS5k2uek72CJf58Xds4iRco8df42q7ts+rfv6SEVHXv0Cto4s+MdjROHFqJ5yQtz0lukcQzUeZOrjVO4gVK/Pm7tnESz1fiz/P9a50oDerS8FpfdTOjHSe87L3toJVYeawa6az+HGWV58FfMkPb8jpcImmsGspEt3CNE8e17xDw/TM63g1HO2Zet8jvNTDG31jM39jPl+YeJ5426KL6sWp2+uHafSAv5PFuONph5bFqNPA3prTKONHoRLeWbEfrh4sD3hcKo/OgrPsXFYgwyd2TlftYrt8llgMN2lNzUpV9V7Yqd1Rq6+Nb/S4VHejhI31MutLHpit/fr7yP8j3eb/k/+EjLiVOWXdkmd4ORCez+xXxAasjPogPBEZ8EB8IHfFhvB2IPVaJj4KPCur/v/PozvX/b6X4SB9LjDSHI1NS9I8ePbWhukr/b9t2v1sgBUqq3dCxk27r1ElP792rF/bt9Xm/5H8SWZo9Ti/17KE+iUm6dvs2v1s5BUoOmtUONE2gpNrZx/5R5w2+Wv/5YVb9ShW++EuqJSem6qZzZ6pb+2w9+9Hdfrf8DDYZ7vqzZ2jn/lw9//G9frdyskI70Lz8JdVaJ9m04IpUDUyP08hXy/xu5RQoOXhC9zgtujJNv+Q7dPbr5UG3chrQ2e6VHLx/WJIeOC1Jk5ZUacZS/9uGtnQ7EJsi4TnKKs+DaDorjhNfKfS/Ja7VxrtomkDjxOz0/rpl9KOmjhMl6bpR05s03g1nOxA6f+PEQJPIrDJONDLebel2mIFJbkAzCTQgN/KtlGAPFkYSl8EeLIJ9uybYg0W42oHoY4V+RXzAyszuV8QHrI74ID4QGPFBfMA4K8VHwQcFXsfdrBIfTARtPsESZkZWjQg2QSzYKmmNE3+/NEr8GVn9wgrtQGiCrRoRLGEWbPWLYBPEjKz2ltW5b8DEn5HVL1q6HTh0vhJmwVaNCJb4M7L6RbDE3/KdB1/z/T/4Xv0iWOIvHO1A7ImU5yirPA+ieQSbIBbuceLf9/me5BbqeDcc7UDTBBsnBpsgFp5xYkqTx7vhaAcOja9xopFV0qwwTgw23g1HO8zAJDegmfgbkIey7LK/B4tQEjP+HiyMLh9tlXYgulilXxEfsCor9CviA1Zmdr8iPmB1xAfxYRZ7kl0DZw/UwNkDLb1VqVXjo/OYzn7vlYiPYFLtdq3p119r+vW39PZPnvwlzELZFsnfBDGjE8M8E38379hef7w8hO2drNAOGGdkWyR/CTOj2zv5myAWynam/hJ/oWzv1FLtQNM0TpgZTZT5S/yFMjHMX+Lv+x0O/e6Ng8nlQKtQ+Ev8hbMdiG6R/BxlhedBNB9/E8RC2Qa0ucaJN3bs6HX8UMa7ZrYDxlh1nJiUkKJnr/9Mz17/mZISUiw/3sWh8zVONLoNqBXGiYHGu+FqR7jZXC5X4HWaYTlG96INxaA5gyRJpWtKVbauTB2Gd1BChwSv62oKa1T4RaHS+qWp1YBWXuddDpcKlxRKkjqc1kG2OO9gifYyPAffmbdmKn9+fsgDcc+HiPSx6cp7Ji/kD549HyIkGXqg8BTudqy+arWh1zTLoDmDor7vhqMM4uPQ22H1GOl1T6+o7rvhKIP4aFo7rB4j6RekR23fDUcZxEfT2mH1+JCk/v/XPyr7brjK2DxjM/HRhHZYPUaIj6aXsebGNZaMj05nddKa69dIkga8OMDvREGz/w6+/XBt/f/Xulx6+8ABSdIl7dop3ub97/FNWZl+rCjXxW3bKSPB+99jd02N3i06oONSUnVSWprX+Wgr4/L27b3OeSbHbunUSX/euSPkRFnj7TxDnRhW5nToT3nb9HNVpSTpyKRkba6pDprwM6Mdi0c8p3XbV2jj7tU6uf+5at/Ke4Lo/tICfb32Yx2WMUj9ehzrdd7hdOirNR9KkoYO+J3ifNQvWsuorC4PmCjz5Jnkk2RoYpgnzyTfdSOn6qPls/0m/KpqKnTHP8+TJD1+zX+UlFDX7zyTfKOPH6+XF001lPBrqXbcc1KNTs2M1xk58V7X1TpdenF5jSTp+uMTFG/3/l3y2eZafZlXq2uPTVSPNt6/57cXO/WPFdVRXYZnckxSyIkyzyTf/EtSNfnzqpAnhnkm+aaPSNLYt8t1eCe7vtvhlCSVTmittMTA2y2Z1o6pRYZe3yy97ukV0eNEK5Txy/hfIvI5ypOZz4OeY1XJOuPENw7s18uFdX1neZ++Db6UYaXxrq97PSeDPdWtu57du9fQxDBPTR0nljudOn7DeknSjR07KsFmO6TxbjjasXjEcxE7TrRCGbn5awNODPNktXFisPFuONrx7DnJkiJ3nGiFMnyNE41MDPNk1fFuWNrRjGNVo/OgmOQWgVpqkltNYY3W3blOckqpfVOVc1+O13WbH9qs8vXlkl3q97d+XgP2fZ/u067XdkmSuv6xqzqe2XCmfayU4ahwaMtDW1S5re6DwpzJOSF/06R8c7k2T98sSUrumaxe9/UK+ZvV7gcLSSE9ULiFsx2RkFgyu19FSxnEx0GhtMPqMWKLs0V93w1HGcTHQaG2w/IxYrNFdd8NRxnEx0HRFh+SlNYvLWr7bjjKID4OOpR2WD1GiI+ml7Fx0kZLxoezymlokptkbpx7Jg7n7d+vGfl7JEn3p3fxmsC1u6ZGIzdvkkPSsSkpei0zy+v1/pi3VSsqKhQnaVFOb6+kXbSVsaaf70THzxUVujRvqySpX1KSXsvMDHklCPcEMUmHtPJZmdOhP+blaV1V3Te138zMMpzwcwtHO947fqqmzLtcTpdTvTMG6i/nP+X1Gv/37z9r0+5fZLfZNe3yeV4JtS9+eV/vLHtGkvT7U27V8IEXNDi/v7QgZsoIxp0wkxRSws+tsrpc//fvP2tHYd3vmzsvfM5wws8tN3+t/vavmyVJ3Tvk6C/nP2U44efWnO2Is0m5t7fySqg99321bvmk7vfys+ck6+YTEhuc317sVPaTpXK4pKGZcfryau+JBKfOKtNXeY6oL8OdMJN0SCtBlFS5NHRWmX7eUzcp7btrQ1/57PsdDp34jzJJ0pFd7Fp4Raq6PlEqydgkN8mkdlh8kpstzhbR40QrlBGpz1GNmdUOz7FqpI0TrVDGaj9jVbPHiZ6T3NysOt5dPOK5qBknWqGMYKw2TpSsMd6N5HGiFcpoPE786uo0wxPD3Kw43g1LO0yY5OY9jREAAAAAAAAAAACIUmmJNrmmNM8iAgAAAADCg5XcIlBLb1davr5c7Ye3V0J7H8sq76/R/i/2K7VvapOWbo7mMlge+tDaYfXVE9zblUZz3w1HGcTHobfD6jHS655eUd13w1EG8dG0dlg9Rrpc2CVq+244yiA+mtYOq8eHJPV/sn9U9t1wlcF2pU1rh9VjhPhoehlsVxr+7UpXVFTo4rZt1cXH1kp7amr0blGRjk1JadLWSpFShpW3KzV7Gyqj7XBvV7pp9y86+fBz1C7Ne7WHA2UF+vq3T9Q7Y2CTtlaKxjKsul2pP1bbhurek2o1NDOuSVsrfZXn0LXHJqi7j62VdhQ79Y8VNVFdRkxv39Qc7bD4Sm5N3a7U7HGiFcpgu9Lm3640UsaJViiD7Uqb3o7FI56L2HGiFcpgu9KW367UyuNEK5QR0eNED2xXCktryUluaBrPgbh78O3rWCCeDxTuhwhfxwLxfKBwP0T4Omaldlg9sUSMNB3x0bR2ECPRjfhoejuIkejmnsBDfERnfEjESFOtuXEN8dGEdlg9RoiPpivfXG7J+Og8prMKPiiQ5H+Sm9nxIXknDtE0nokyd3LM17FAPCeGuZN8vo7545nwcyf5fB2zSjsWj3gu4OsgsCfev81Qwswz4edO8vk65o9nws+d5PN1LBDPhJ+7zr6OhbMdjx05IeD1CM42rbhBcswzeRYs8eeZ8HMn+XwdC8Qz4edO8vk6FoivOoetHRaf5MZYtenyP8iPyOcoz/qb+TzIWLV5Rdo40QrtYKzaNHfOGhOx40QrjHc/PPe9gNciuLYziyN3nPg/po53TZjk5vsrogBC5m/QHZcSp6w7spTcPVm5j+WqfHO539fw9/CQmpOq7LuyVbmjUlsf3ypHhcPva/h7eEgfk670senKn5+v/A/yLd8ORBer9CviA1ZlhX5FfMDKzO5XxAesjvggPhCYVePDPcHNH+Ij+vhL7h2ZkqJ/9OipDdVV+n/btqvM6f/fw19y74aOnXRbp056eu9evbBvr9/7/SX30uxxeqlnD/VJTNK127fp54oKS7cDxu3cn6vnP75XldX+f1f4S+6dfewfdd7gq/WfH2ZpwYrX/N7vL7mXnJiqm86dqW7ts/XsR3crN3+t39fwl9zLTu+vW0Y/amo70DSNk2L3D0vSA6cladKSKs1YWuX3Pn/JvdZJNi24IlUD0+M08tUyfb/D/+8af8m9E7rHadGVafol36GzXy9XSZX/tSD8JffC2Q5Et0h+jrLC8yCaT7SME63SDhgT6eNEq4x3cegifZxohfFuuDHJDWgmgb5VYmRAHuzbMUYeLIJ9OybYg0Wwb8eEqx2IPlboV8QHrMzsfkV8wOqID+IDgREfxAeMs1p8SFL62HSvVdysEh+BkpIITbDVK4wkzIKtXhEs8Rds9QojiT8rtAOhCZYwC5YoC5b4CzYxzEjiL9jqFUYSfy3dDhw6X6s+BEuYBVu9wkjiL9jqFUYSf8FWrwhHOxB7IuU5yirPg2ge0TJONKMdaJpoGCdaZbyLQxPJ40QrjHfNwCQ3oJkEWzY50IDc6PLPgR4sjC7/7O/Bwujyzy3dDkQns/sV8QGrIz6IDwRGfBAfCB3xYbwdiD3ER2jtQNMZ3Z4pUOLP6PZM/hJ/RrdnCpT4M6sdaJpACTOjiTJ/iT+jE8MCJf6Mbs9khXageflLmBndnilQ4s/o9kyBEn9Gt5lq6XYgNkXKONEK4100XSSPE60w3kXTRMs40SrtQOgieZxohfGuGZjkhoCctU5V7qiUs9bp95qqPVWqLfG/531tSa2q9vj/Ix8tZQQaiLv5GpAbfaBw8/VgYfSBwq3xg4XRB4qWbEckipa+S3w0ZMX4iMSJCtHSd8NVBvHR9HZEkmjqu+EqIxDiI3g7Ikm09V2zyyA+jLUjUlilX0VLGcSH8XZsra7W/lr//x77a2u1tbra7/lql0sbqqpU7fL/4Wc0l2E0UebmK/FnNOHn1jjxZzTh5+Yr8WdmO3ypddRoV2Guah01fu8vKNqh0ooiv+dLK4pUULTD7/loKUPynTALNVHWOPEX6sQwX4k/owk/K7VjY6FTe8v9/33ZW+7UxkL/56sdLv2a71C1w//vklgpQ/JOmBlN+Ln5SvwZTfi5+Ur8GU34haMdkSRaxolWKEOKjHGiFca7kTxOtEIZkT5OtMJ4159IGCdapYxoGSdaoR3RMk60QhmS9ceJVhjvmsHmcgX4awhLKi4uVtu2bVVUVKQ2bdo0y2t2v6q7Opzewev45oc3q3xduVL7pSpnQo7X+cLFhdo5d6fsyXb1nt5bSekNA6Aqv0qbJm+Ss9KpbuO6RXUZoXAP4ss31gV+6mGphh4oPLkH8c6Kul++Rh8oPHkmdewpdkMPFJ6asx2OcmtP4hk0Z5DXsWjpu8SHb1aKD2eFU1b/c904RqKl74arDF+v7QvxcVDjdkRSjERT3w1XGQNnD/Q61xjxcVCkxYd0MEaire+aWYYn4uMgX+3Y896eEFoRfsQH8WFES7bjl/G/KNVm1/zsbGUmJja4J6+6WmNzc1Xucmpyly66tF17r9e9Km+rfqio0OCUFM3JzPI6/+aB/Zq+Z0/UljFg3Vodk5xiKFHmyZ1kK3XW/XsYTfh5cicLJamV3W4o4efJnSz8qbJudQuz2rF4xHNex5784K/auGuVDut6lG4f84TX+S/XfKi3vnxSSQkpuveil9S5bbcG5wuKdmrme/9PVTUV+sOpt+vUAb+L2jI8uZNsldV1E2cOZSUId5JNkpIT00Je+cydLNy851dJUk6XIwwl/DyFsx03Z1xY//8vLK/WjR9VqlWitPL6VurdoeEaApsKnTr6xVKVVkt/H52sG45PbPxyGjG7TF9sdWh4Vpw+H5/mdT4ayyiZEDyH4U6ySVKbJBlK+HlyJ9m+3lb3GfPJPY0l/Dy5k4XF/5u7ZDTh56kl2rEsL/BEKLO5x6rRMk60QhmNWXmcGIqWasfWm9ZF7DjRCmUMWLc2oseJVhjv+hqrRso40QpleIq0caI/4WyH51g1EseJVijDNSX4WNWq40QrjHeLKpsv92B0HhQruUGSVPpbqdcxl9Ol8vV1g8Xy9eVyOb07qPs+Z6VTlVu9V9mozK2Us9IZE2WEIi4lTuljDz4ApI9ND+mBQqr7Bk1a/4O/tDuO7BjS/Y3vSeufFtIDhdQy7YgU0dR3iQ/fiI9DF019N5xlGEF8HER8WKfvEh8NER+HLhr7brjKCIb4OKg52mGGaO27ZpXhySr9yurxUe5y6rcq73+PNVWVKnfV/Xt8V+79+8jhcunH/23/82NFhRw+Jl6774vmMm7p1CmkRJlUtzLE4NSD/eDK9t7JzmA87xmcmhpSwk+qW+HiFo+V1MxqR2NOp0Obdq+WJG3avVpOp/cXJ9fv+EmSVFVToe37Nnid37Z3g6pqKhpcG61leMpO768+XY+q/3nEwLFe9wTjeU+frkeFvLVncmKqRh8/vv7n0cePDynhJ5nXjsVb6iYblVZLP+32/vdascuh0uqG13pyOF36Mq/uvi/zHHL4+BsVjWUY8ecTDyYvR2THh5Twk+pWuJg+4mCCbvqIpJASflLdChcjsuN91smolmhHpIiWcaIVymjM6uNEo1qqHZE+TrRCGZE8TrTCeDeSx4lWKMNTJI8TPZnVjkgcJ1qhDCOsOk60wnjXDExygySp8+jOXsdsdpsyLs1QYkaiMi7NkM3uHSSdR3dWUo8ktT62tVof2drrfOujWqv1sa2V1CMp6ssIRfnmcuU9k6fknslK7pmsvGfyVL45tOUc8z/IV8lPJWp9TGvZU+whb2no/taLPcWu1se0VslPJSFvZ9Wc7Yg00dR3iQ9vVouP1sd4v+9WFk19N1xlGEV8+G9HpIi2vhuuMowgPvy3I1JEY98NVxnBEB+B2xEJorXvmlWGJ+IjeDv6JibpjFatNCytldc9w9Na6YxWrdQ3MUnXdfBOdsbZbLqrc7qyExJ1V+d0xdm8/z2u69Axqsvol5SkP+/coZ//l5g06oV9e7WktFSntWqlVnZ7/VZORrlXpWhlt+u0Vq20pLRUL+zbG1Idfq6o0J937lC/pCRT29GY3R6nC4dcr/S2PXThkOtl95GIHHX0perWoZeOzD5FR/Q80ev8wMwTdWT2KerWoZdGHX1pVJfhacGK17R669calHWykhPT6rdAMsq9KkVyYpoGZZ2s1Vu/1oIVrxm+X6pbleLlRVPVvUOOunfI0cuLpio3f21Ir2FWO+4dmqRB6XZd0D9e5/bxTuiM7huvC/rHa1C6XfcO9Z6cFGe36W8jk9S3o11/G5mkOB9/o6KxjGDcq1K0SZLG9IvXB+tqNWOp/60gffl+h0Nj3y7XkV3sOrKLXWPfLtf3O0LbOWTG0ip9sK5WY/rFq02S6rdyMqql2hEpomWcaIUyPFl9nGhUS7YjkseJVigj0seJVhjvRvI40QpleIrkcaIV2hGJ40QrlGGEVceJVhjvmoHtSiNQS2xX6msrRoQm/4N8Q8szu5d1Tu6erKw76pYU3vr4VlXuqDS8PLN7WWf3ktCNXzPYt3DcDxSeZTZ+zXC3I1K2CMKhIT6a3o7VV60Oeo+ZiJGWR3wEbsemaZuC3mcmYqRlER+B22H1+JCIkZZEfARvh6M8tA+Ewo34aDnEh7F2LI/LDHo//HMn3zZUVxnePsm97ZJ7yyb3Vk59EpMMbZ/kq8zGrxlM4zIlmdaOP131n6BlITj3tkvurY7cWyB1a59taPskd8Jv5/7c+i2bGr9mMI3LlOT1mlZrh+cWUGh+7kTZL/mO+i2b3FsgGd0+yb3t0sD0ui2bJHm9ZjCNy2z8msFWyWjJdkTKdqVofpEwTrTCePeXzL5B70dgkTxOtMJ4t+9FbwW9DsFF4jjRCu1grNryrDxOtMJ49/7FwVelNYrtSi3ohx9+0Lnnnqv27dsrLS1NJ5xwgubNm2d2tdBM8ufnB/3mia/Bf1xKnLLuyFJy92TlPpYb9Bs0vgb/qTmpyr4rW5U7KoN+g8bXA4UkpY9JV/rYdFPbgehFfBAfCIz4aHo7ELuIj+DtQOwiPoy1A7GJ+DDeDjRNmj1OL/XsoT6JSbp2+7agK0P4Ss4dmZKif/ToqQ3VVUFXuPA3qe6Gjp10W6dOenrv3qArXPhKMprZDjSdr+Rcdnp/3TL6Ue3cnxt0ZQhfCT9JOvvYP+q8wVfrPz/MCrrCha/kXHJiqm46d6a6tc/Wsx/dHXSFCyu0A83HV6JMku4flqQHTkvSpCVVQVe48JWca51k04IrUjUwPU4jXy0LusKFryTjCd3jtOjKNP2S7wi6wkVLtwOxKVLGiVYY76LpInmcaIXxLpouWsaJVmgHmpfVx4lWGO+agUluYfL5559r6NCh+vLLL3XxxRfrxhtv1N69e3XFFVfooYceMrt6aAbBBuSBvt1i9MEi0MQXIw8W/h4o6ttg4MGipduB6GR2vyI+YHXEB/GBwIgP4gOhIz6MtwOxh/gIrR1oOqMJs0CrTxhJ/AVbNc5I4i/QKhpmtQNNE2j1CSMJM38JPzcjib9Aq08YTfxZoR04NL4SZv4SZW5GEn+BVp8wmvgLtIqGkcRfONqB2BNJ40QrjHfRPCJ1nGiF8S6aJlrGiVZoBw5NJI8TrTDeNQOT3MKgtrZW1157rWw2m5YuXaqXX35Zf/vb37Rq1SodccQRmjJlijZs2GB2NdFEgQbkRpZvDvZgYSRxGejBItgDhZXagehjhX5FfMDKzO5XxAesjvggPhAY8UF8wDjiI/R2oHkES5gZ2V4pUOLP6LaogRJ/RraJsko7YFyw7ZUCJcyCJfzcAiX+jGwTFSzxZ2SbqJZuBw5d44SZ0URZoMSfke2VgiX+jGwTFSjxF652IPpF8jjRCuNdNJ9oGSdaoR0wLhrGiVYY7+LQRfI40Srj3XBjklsYLF68WJs2bdLll1+uY445pv5469atNWnSJNXW1mrWrFkm1hDNxdeA3MhA3M3fg0UoiRlfDxZGHyis1A5EHyv0K+IDVmWFfkV8wMrM7lfEB6yO+CA+EBjxQXxYhb+EWSiJMl+Jv1AnhvlK/BlJ+FmtHTAmUKLMzVfCzGjCz81X4s9Iws/NX+LPSMKvpduBpvFMmIWaKPOV+AtlYpi/xJ+RhJ+br8RfuNuB6BbJ40QrjHfRvKJlnGiFdsCYSB8nmj3eRdNF+jjRKuPdcLK5XC7/m6uiWdx33316+OGH9cYbb+jSSy9tcG7//v3q0KGDTj75ZC1btszQ6xUXF6tt27YqKipSmzZtmqWOg+YMksvl0q7Xd6n0l1JlXJKhNsd6v3bximLtfnu3Wg1spa5XdJXN1jCgagprtO2FbZKknjf2VEL7hAbnY6UM90NA62Naq2xtWcgDcc+HgLT+aSr5qSTkD57dDwGJnRIlSdV7qw09UJjVjtVXrTZcLzMMnD3Q9H4VLWUQH4fWDqvHSMeRHaO+74ajDOLj0Nth9RhJ6poU1X03HGUQH4feDqvHhyRl/TkravtuOMogPprWDqvHCPHR9DJ+Gf8L8dGEdrz9cG39/++uqdGdu3ZKkh7v2k1dErz/PR7Kz9eysjLd0bmzzmjd2uv1Pisp0eMFBTolLU33pad7/ZtHWxmvZXpvo+WZpBucmqolpaUhJ8rcSbru/6v7jpqakCeGuZN0p7VqpR/Kyw0l/Mxox2fDn9W7Xz+n37b9oAuG/D8dmX2K9+vkLtP7376kw3sO1sUn3+z177G/tECzP5shSbr6zPvVLq1zg/MulytmygjEnaTr2KqLJGlf6R5DCT9P7iTdoKyTtWHXKkMJP0+eycY+XY/S6q1fG0r4tVQ7+na066ze8Xrq7CSvf4/txU5d9l5d0vvNi1LUvU3DNQVcLpf+vKBKCzfV6tEzk3R+/4a/ayTp32trdPenVVFdhjtJl92u7nVzDzhDTpS5k3Rj+sXr89zakCeGeSbpRmTH64N1tYYSfp5Ma8fUIsOvb4aOIztG9DjRCmWsuXFNxI4T3cwc73qOVSNtnGiFMiZ26eL12lLkjBODCUc7Fo94LmrGiWaUUVVTEbHjRCuMd4/PqJQUueNEK5QR0eNED6a1oxnHqkbnQcU3W4nwy70VaZ8+fbzOtW/fXp06dQq4XWlVVZWqqg4uT1hUVNdRCgsLVVNT0yx1jK+IV+XuSpV/VS677Drw/gF1OLyD13UH3j8g+wG7yr8ql+MUh5Izkhuc3//FfjnznJKksi/K1OmshoOVWCmj28hucmx1qOzXMiUqUb1v7q04xUm+t273Eq949b65tzZM2KCa32rU8biO6jaym+H7JalN1zbKuTFH25/fLknKuSlHrbq2Cuk1wtmOffv2Ga+YCRy5DtP7VbSUQXwcWjusHiNm96toKYP4OPR2WD1G7Aeiu++Gowzi49DbYfX4kBTVfTccZRAfTWuH1WMkmvtuuMroeFxH4qMJ7Sjy+PTwreIirfnf92XfrKjQ+EYJptyqKr1XWSHF2fV0aYmOb9/e6/WeKinR7ji73qus0HlOp7KTGn7gGm1lFMX7+vg1Xn/rla3RW7bom9pandGxoy7rkqFQPhrOat1aj2Rn646d/0teZmcrKyU1pNe4rEuGfnW5tKysTEpM1N96ZavWHhfCa4SnHdv2r9N3Gz+RJH3y02z1zTzK63U+XjFbxVV79d3GT3Ti4WcqvV2PBue/Xv8f7Tiwse7/132k04++uMH5/APbY6aMQDI69dDVI+/TrM8ekCRdPXKSMjr1UKWz1PBrjDj6Au0o3KDfdiyX7NKfzp4kxTuNv0Z83T0PvDVeG/as0DG9h2rE0ReEVIfmbsfLP0uXHZOgvh0aJtyeX1mt5fkJ//v/OP11SMOE2/pCp17+uUZSoiYutWloTqJXOfctrVVeWWJUl9G7szT34kRd6k4sXpyi3p3jtK/a62X8unFIon7IT9B/N9VKtnjN+0Oaqm02469hk+b9IVH9ny3Tf7dKY45I1o1DkkOqg2ntsPhYNdLHiVYoI5LHiW5mjnc9x6qRNk60Qhm3+ByrRs44MZhwtKPSWRo140SzyojkcaJVxruROk60RBmRPE70ZFY7mnGsWlJSIqluYmMgrOQWBqNGjdKiRYu0YcMGHXbYYV7ne/fure3btzeYyOZp6tSpmjZtWktXEwAAAAAAAAAAAAAAAADCbtu2berRo4ff86zkFgEmTJigv/71r/U/O51OFRYWqmPHjl5LLcIcxcXF6tmzp7Zt29ZsW8gC0YL4AAIjRoDAiBEgMGIEABDN+DsHAAAAq2KsCgDNx+VyqaSkRN26dQt4HZPcwqBt27aSDm4z2ph7b1l/kpKSlNRomdl27do1W/3QfNq0acMgBvCD+AACI0aAwIgRIDBiBAAQzfg7BwAAAKtirAoAzSPQvCk3e9Ar0GR9+vSRJG3YsMHr3P79+7V37976awAAAAAAAAAAAAAAAAAABzHJLQyGDx8uSfrvf//rdc59zH0NAAAAAAAAAAAAAAAAAOAgJrmFwRlnnKGcnBzNmzdPK1eurD9eUlKiBx54QPHx8Ro/frxp9UPTJSUlacqUKV7bygIgPoBgiBEgMGIECIwYAQBEM/7OAQAAwKoYqwJA+NlcLpfL7ErEgiVLluiss85SUlKSLrvsMrVp00bz58/Xli1bNGPGDE2cONHsKgIAAAAAAAAAAAAAAACA5TDJLYy+//57TZkyRd98842qq6t1xBFH6Pbbb9cVV1xhdtUAAAAAAAAAAAAAAAAAwJKY5AYAAAAAAAAAAAAAAAAAsCy72RUAAAAAAAAAAAAAAAAAAMAfJrkBAAAAAAAAAAAAAAAAACyLSW4AAAAAAAAAAAAAAAAAAMtikhsAAAAAAAAAAAAAAAAAwLKY5AYAaBabNm3S/fffr1NPPVUZGRlKSUlRSkqKMjIydOqpp2rSpEnauHGj2dUELO/f//63pk+fbnY1gLCrqanRihUr9PPPP8vlcvm97ueff9bcuXPDWDPAfL/99ps+/PBDbdq0qf6Y0+nUiy++qMsuu0xXXnml3njjDRNrCAAAAAAAAABAy7K5AmWQAAAwYObMmZoyZYpqamokSZ06dVKbNm0kScXFxdq7d68kKSEhQdOmTdO9995rWl0Bq7v66qs1d+5cORwOs6sChM27776rG2+8UYWFhZKkrl276tFHH9Xll1/ude20adM0ffp0YgQx44YbbtDLL78sSbLZbJoyZYomTZqkiy66SP/617/qr7PZbLr44ov11ltvmVVVAAAAAAAAAABaTLzZFQCs7pprrjmk+2w2m1555ZVmrg1gPW+88Ybuu+8+HXHEEZo0aZJGjRqldu3aNbjmwIEDWrhwoR544AFNnDhR2dnZuvTSS82pMADAUr7//ntdeumliouL08iRI5WQkKBPP/1UV155pb788kv9/e9/N7uKgGnmz5+vl156SQMGDNBZZ52lzz77TFOnTlVaWpo++ugjPfrooxo1apR27Nih++67T++++67efvttXXLJJWZXHQAAQ04//fRDus9ms+mzzz5r5toAAAAABx3qjis2m02TJk1q5toAACRWcgOCstsPbVdfm83GCiOICSeeeKL27dunVatWKS0tLeC1JSUlOvroo9WpUyd99913YaohYK5Qt1V8+eWX9fXXX/M3BDHj4osv1gcffKAlS5bolFNOkSTl5eXpyiuv1FdffaUrr7xSs2bNks1mk8RKbogtZ5xxhtasWaONGzcqLS1NlZWV6tevn/bs2aPp06fr7rvvrr+2sLBQ2dnZOvXUU/XRRx+ZWGsAAIzjczcAAABYFWNVALAeVnIDgtiyZYvZVQAs7ddff9VNN90UdIKbJLVu3Vpjx45lVR7ElPHjx9dPzjHC5XKFdD0Q6ZYtW6YLLrigfoKbJGVmZuqzzz5rsH3v3LlziQ3EnHXr1ul3v/td/TgrOTlZ5557rl566SWvVXE7dOig0aNH6/PPPzehpgAAHBqn02l2FQAAAACflixZYnYVAACNMMkNCCIrK8vsKgCWlpiYqKKiIsPXFxcXKzExsQVrBFhLYmKiunXrpuuvv97Q9e+8845++umnFq4VYB2FhYXq06eP1/H4+HjNnTtXiYmJmjVrlpxOp1599VUTagiYZ+/evUpPT29wzP1zz549va7PyspSYWFhWOoGAAAAAAAQzYYPH252FQAAjTDJDQDQJEOGDNGbb76pm2++WUceeWTAa1etWqU33nhDp556aphqB5hv0KBBysvL0z333GPo+rVr1zLJDTElIyND+fn5Ps/ZbDa98sorcrlcmj17tpxOpw477LAw1xAwT/v27b0mrdlsNr+rfpaVlSk1NTVc1QMAAAAAAAAAIGyY5AY0wbZt27Rz505VVVX5PD9s2LAw1wgIv2nTpunUU0/VkCFDdMUVV2jkyJHq06eP2rZtK0kqKirShg0b9N///lfz5s2T0+nUtGnTTK41ED7HHXecVqxYoW3btvlcdQeIdf3799cXX3wR8JpXXnlFkjR79my1bt06HNUCLKFXr17auHFjg2N/+ctfdPXVV/u8fuvWrerWrVs4qgYAQIuqrKzUDz/8EPBzt3HjxoW5VgAAAEAdh8OhvXv3+h2rZmZmhrlGABAbmOQGHIIPP/xQd911lzZs2BDwOofDEaYaAeYZPHiwFixYoGuvvVavvPKK/vnPf/q8zuVyKScnR//4xz90/PHHh7mWgHlOPfVULVy4UBs2bDA0yW3o0KFhqBVgHeecc47++te/atmyZTrllFN8XuO5otucOXN8rmAFRKPjjz++fhVDu90uSWrbtm39lwk8FRcXa8mSJbrkkkvCXU0AAJrVc889p0mTJqmoqMjnefeKpkxyAwAAQLj9+OOPuu+++7R06VJVV1f7vMZms6m2tjbMNQOA2GBzuVwusysBRJLPP/9cZ555pjIyMnTRRRfpmWee0fDhw9W/f3999dVX+vXXX3XeeefpuOOO05QpU8yuLhA2DodDixcv1ueff64NGzbUfxjdtm1b9enTR8OHD9cZZ5yhuLg4k2sKALCSnTt36plnntGJJ56oCy64IOC1LpdL06ZN09atWzVr1qzwVBAwUVFRkfbu3aucnJygkztXrVql2bNn6/e//71OPvnkMNUQAIDmNX/+fF188cUaNGiQxo8frzvuuEMXXHCBTjzxRC1dulSffPKJLrroIp133nm66qqrzK4uAAAAYsjKlSt18sknKz4+Xqeddpo+/PBDHXXUUcrIyNCKFStUUFCgESNGKCsri88uAaCFMMkNCNHZZ5+tb7/9VuvWrVOXLl1kt9s1depUTZ48WS6XSzNnztSMGTO0bNkyHX300WZXFwAAAAAAAIgIw4YN0/r167V582alpqY2+NxNkubNm6errrpKixYt0ogRI8ytLAAAAGLKRRddpE8++UQ//vijDj/88AZj1YqKCt1xxx1699139f333ys7O9vs6gJAVLKbXQEg0vzwww+64IIL1KVLl/pjTqdTUt3ysxMmTNAxxxxT/+EbAAAAAAAAgOB+/vlnjRkzRqmpqfXHHA5H/f9ffvnlOuOMMzR9+nQzqgcAAIAY9tVXX2nMmDE6/PDD64+51xNKSUnRs88+q27duum+++4zq4oAEPWY5AaEqLy8XN27d6//OSkpScXFxQ2uGTJkiJYtWxbuqgEAAAAAAAARq6amRp07d67/OSUlRQcOHGhwzZFHHqkVK1aEuWYAAACIdUVFRcrJyan/OSEhQaWlpfU/2+12jRgxQp999pkZ1QOAmMAkNyBEGRkZKigoqP+5e/fu+vXXXxtcs2/fvgbfMgUAAAAAAAAQWLdu3bRr1676n7OysvTTTz81uGbr1q2Kj48Pd9UAAAAQ49LT07V///76nzMyMrRhw4YG11RWVqq8vDzcVQOAmMEkNyBERx11lH755Zf6n0877TQtWbJEb775psrKyrRw4UK99dZbOvLII02sJQAAAAAAABBZBg8e3GCVtrPPPlvLli3TzJkz9euvv+rFF1/U/PnzNXjwYBNrCQAAgFg0YMAArVu3rv7nU045Rf/973/17bffSpJ+++03vf322+rfv79ZVQSAqGdzuTeKBmDIP//5T91yyy367bfflJWVpS1btui4445TUVFR/TXx8fFatGiRhg0bZmJNAQAAAAAAgMjxr3/9S/fdd58++eQTZWdnq6CgQMcff7y2b98uSXK5XGrbtq2WLl2qQYMGmVxbAAAAxJJnnnlGf/nLX7Rt2zZ17dpVq1at0pAhQ1RdXa0OHTpo//79cjqdeu+993ThhReaXV0AiEpMcgOawaZNm/TEE09o8+bNysrK0g033KCjjz7a7GoBAAAAAAAAEW3//v36xz/+Uf+525VXXqnu3bubXS0AAADEmJqaGhUWFqp9+/ZKTEyUJH399dd68MEH68eqt956q0aPHm1yTQEgejHJDQAAAAAAAAAAAAAAAABgWXazKwAAiGw1NTUaOXKkfve736mmpsbvddXV1RozZozOPvtsORyOMNYQMBcxAgRGjAD+ER8AAAAAAAAAANSJN7sCQKSZO3eu4WvHjRvXgjUBrGHevHlavHix5s+fr4SEBL/XJSYm6rrrrtP555+v119/nfhAzCBGgMCIEcA/4gMAEGumT59u6DqbzaZJkya1cG0AAACAhmpra/XMM8/ojTfe0Nq1a1VeXq7a2lpJ0sqVK/XSSy/p9ttvV9++fU2uKQBEJ7YrBUJkt9tls9kCXuNyuWSz2VhFATHhvPPO02+//aZNmzYZur5Pnz7q27evPvrooxauGWANxAgQGDEC+Ed8AABijd0eeOMRm83G524AAAAwRUVFhUaNGqWvv/5anTp1UkJCgnbt2lU/Li0qKlJGRobuuOMOzZgxw+TaAkB0YiU3IESzZs3yebyoqEgrVqzQvHnzNGbMGP3ud78Lc80Ac6xYsUKjR482fP2IESNIvCKmECNAYMQI4B/xAQCINUuWLPF53P2529NPP60zzzxTN998c5hrBgAAgFj30EMPadmyZZo5c6buuusuTZs2TQ888ED9+bZt22r48OFauHAhk9wAoIUwyQ0I0VVXXRXw/PXXX68zzjhDN954Y5hqBJhr3759ysjIMHx9ly5dtG/fvhasEWAtxAgQGDEC+Ed8AABizfDhw/2eGzNmjK644gode+yxuuiii8JYKwAAAEB66623NGLECN19992S5HPnr5ycHP3000/hrhoAxIzA678DCNlJJ52k3/3ud5o8ebLZVQHCIjU1VUVFRYavLykpUWpqagvWCLAWYgQIjBgB/CM+AABoqE+fPrrwwgs1c+ZMs6sCAACAGJOXl6fBgwcHvKZNmzYhfZYDAAgNk9yAFpCVlaVVq1aZXQ0gLHJycvTtt98avv6bb75R7969W7BGgLUQI0BgxAjgH/EBAIC39PR0rVu3zuxqAAAAIMa0bt1aBQUFAa/ZtGmTOnfuHKYaAUDsYZIb0MxcLpeWLl2qlJQUs6sChMWoUaP0448/avHixUGvXbJkiZYvX65Ro0aFoWaANRAjQGDECOAf8QEAQENVVVVasGCB2rVrZ3ZVAAAAEGOGDBmiDz/80O9Kbdu3b9fHH3+sYcOGhblmABA7bC6Xy2V2JYBIsnTpUp/Ha2trtWPHDs2dO1eLFy/WlVdeqdmzZ4e3coAJdu7cqT59+igtLU1vv/22RowY4fO6L774Qr///e9VXl6uDRs2qGvXruGtKGASYgQIjBgB/CM+AACxZu7cuT6Puz93e/PNN7V27VrdeuutevLJJ8NbOQAAAMS0pUuX6rTTTtOxxx6rp556Sp988okeeughlZSU6JtvvtGtt96qjRs36ptvvtFxxx1ndnUBICoxyQ0Ikd1ul81m83ve5XLppJNO0ocffqgOHTqEsWaAed544w1deeWVcrlcOuWUU3TaaaepR48ekqQdO3bos88+09dffy2bzabXXntNl156qck1BsKLGAECI0YA/4gPAEAs8fe5m/sjbJvNpj/84Q/65z//qeTk5HBXDwAAADHuhRde0G233SaHw+F1Li4uTs8//7yuvfZaE2oGALGBSW5AiKZOnerzwza73a727dvr+OOP15AhQ0yoGWCuBQsW6Oabb9aWLVskqT5O3H9mcnJy9Nxzz+mss84yrY6AmYgRIDBiBPCP+AAAxIo5c+b4PO7+3O3YY49Vt27dwlwrAAAA4KDffvtNL7zwgr777jsVFhaqTZs2OvHEE3XTTTfpiCOOMLt6ABDVmOQGAGg2TqdTS5Ys0bJly7R7925JUkZGRv2qI3a73eQaAuYiRoDAiBHAP+IDAAAAAADA+oqKitS2bVuzqwEAUYlJbgAAAAAAAAAAAAAAAIeotLRUTzzxhJ566int27fP7OoAQFSKN7sCQKTJy8s75HszMzObsSaAdTmdThUWFkqSOnTowMoiQCPECBAYMQL4R3wAAKLZ0qVLD/neYcOGNWNNAAAAgINyc3O1YsUKxcfH64QTTlBGRkb9ucrKSj355JP629/+psLCQqWmpppYUwCIbqzkBoTIbrfLZrOFfJ/NZlNtbW0L1AiwhoqKCj333HN66623tHLlSjmdTklSXFycjj76aF1++eW64YYblJycbHJNAXMQI0BgxAjgH/EBAIgVh/q5myQ5HI5mrg0AAABincvl0s0336yXXnpJ7mkVCQkJevjhh/WXv/xFixYt0jXXXKOdO3cqOTlZN954o+6++26lp6ebXHMAiE5McgNCNH78eG3ZskVffvml2rVrp6OPPlpdunTRnj17tHLlSh04cEDDhg1Tr169vO6dNWuWCTUGWt62bdt09tlna+3atXK5XEpISFCHDh3kcrlUWFio2tpa2Ww2HXHEEVqwYIG6detmdpWBsCJGgMCIEcA/4gMAEEumTp2q7777TgsXLlTfvn118skn13/u9vXXX2v9+vU666yzNGTIEK97p0yZYkKNAQAAEM1eeukl3XDDDUpLS9Pw4cPlcrn0xRdfqKKiQk8++aTuuOMO2Ww23Xzzzbr33nuZ3AYALYxJbkCIfv31V51yyim65ZZbNGHCBKWlpdWfKysr04MPPqi///3vWrZsmQYMGGBiTYHwcLlcOvXUU/X111/rjDPO0MSJE3XyyScrMTFRklRdXa2vvvpKDz30kBYvXqxTTz1VX3zxhcm1BsKHGAECI0YA/4gPAECs+fLLLzVy5Eg9++yz+tOf/tRgVTeXy6WXX35Zf/7zn7Vo0SINHTrUxJoCAAAgFgwdOlQ///yzVq5cqZycHEnSunXrdNxxx6miokK9evXSRx99pH79+plcUwCIDUxyA0I0evRo1dTU6L///a/fa0aNGqWkpCR9+OGHYawZYI6FCxfqnHPO0WWXXabXXnvN77YiLpdLV1xxhd566y0tXLhQZ555ZphrCpiDGAECI0YA/4gPAECsGTFihDp27Kj33nvP7zVjx47V/v37tWTJkjDWDAAAALGoffv2Ov/88zV79uwGx6+66iq99tprWrJkiYYNG2ZO5QAgBtnNrgAQaZYtW6YTTjgh4DWDBw/Wl19+GaYaAeZ65513lJycrKefftpv4lWSbDabnnrqKSUmJuqtt94KYw0BcxEjQGDECOAf8QEAiDU//vijDj/88IDXHH744Vq+fHmYagQAAIBYVlxcrKysLK/j7mMnnnhiuKsEADGNSW5AiJxOpzZu3Bjwmg0bNohFEhErfvzxR5166qnq2LFj0Gs7d+6sYcOG6ccffwxDzQBrIEaAwIgRwD/iAwAQaxITE/XTTz8FvOann36q37obAAAAaEkul0txcXFex93HkpKSwl0lAIhpTHIDQjRs2DC99957evPNN32ef+ONNzR//nyWpkXM2LZtW9BvWXsaMGCA8vLyWrBGgLUQI0BgxAjgH/EBAIg1o0aN0oIFCzRz5kxVV1c3OFddXa2HH35YCxcu1FlnnWVSDQEAABBrysrKlJ+f3+C/0tJSSVJBQYHXufz8fJNrDADRK97sCgCR5tFHH9WXX36pK664Qo888oiGDh2q9PR05efn66uvvtLPP/+s1q1b65FHHjG7qkBYFBcXq127doavb9OmjUpKSlquQoDFECNAYMQI4B/xAQCINY899pi+/PJLTZw4UU899ZSOP/74+s/dli9frvz8fHXr1k2PPvqo2VUFAABAjPjb3/6mv/3tb17HXS6XMjIyvI7bbDbV1taGo2oAEHOY5AaEaMCAAVq2bJluueUWLV26VKtWrWpwftiwYXruuec0YMAAk2oIhFdtba3sduMLg9rtdgb3iCnECBAYMQL4R3wAAGJNjx49tHz5ct177716++239dFHH9WfS05O1pVXXqmZM2f6TCYCAAAAzW3YsGGy2WxmVwMA8D9McgMOwcCBA/X5559r27ZtWrVqlYqKitS2bVsdddRR6tmzp9nVA8LOvVSzEe4lnIFYQowAgREjgH/EBwAg1mRkZGj27Nl6+eWXtW7duvrP3fr166eEhASzqwcAAIAY8vnnn5tdBQCAB5vL5XKZXQkAQOSy2+2H9C0Wh8PRArUBrIcYAQIjRgD/iA8AAAAAAAAAAOqwkhtgQHFxsZKTk5WYmGjo+ry8POXm5mrYsGEtXDPAfCzVDARGjACBESOAf8QHACAW/Pzzz8rIyFB6errh61euXKlx48a1cM0AAAAAAICVsJIbYEBcXJymTp2qSZMm1R978cUX9eKLL2rFihVe10+bNk3Tp09nBQUAAAAAAAAggLi4OE2ZMkWTJ0+uP/bII4/o0Ucf1b59+7yu53M3AAAAWFFFRYV++OEHSWIhFABoIazkBhjgcrnUeD7o7t27tWrVKpNqBAAAAAAAAEQ+X9/Brqys1IEDB8JfGQAAAOAQ5eXlacSIEbLb7aqtrTW7OgAQlZjkBgAAAAAAAAAAAAAAcIhSU1M1bNgw2Ww2s6sCAFGLSW4AAAAAAAAAAAAAAACHqGfPnvr888/NrgYARDW72RUAAAAAAAAAAAAAAAAAAMAfJrkBAAAAAAAAAAAAAAAAACyL7UoBg9g/HQAAAAAAAGh+ZWVlys/Pr/+5tLRUklRQUCCXy9XgWvc5AAAAwAyvv/665syZo5UrV6qoqEht27bVMccco6uuukqXX3652dUDgKhmczX+lACAF7vdrvj4eMXHH5wXWltbK4fDoaSkJK/r3eccDkc4qwkAAAAAAABEFLvd7vPLpS6XK+CXTvncDQAAAOFUVVWlCy+8UAsXLpTL5VJKSorS09OVn5+viooK2Ww2nX322Zo/f77P/DEAoOlYyQ0wIDMzk5XcAAAAAAAAgGY2bNgwPncDAACA5U2bNk0LFizQyJEj9dBDD+m4446rP7d8+XLdd999WrBggR544AHNmDHDxJoCQPRiJTcAwCGbO3fuId87bty4ZqwJYE3ECBAYMQL4R3wAAAAAAABYR1ZWltq1a6effvpJdrvd67zD4dDRRx+t4uJibd261YQaAkD0Y5IbAOCQ+dtSJBD3diNsK4JYQIwAgREjgH/EBwAAAAAAgHWkpKTo9ttv18MPP+z3mnvvvVdPP/20ysvLw1gzAIgdbFcKADhks2bNMrsKgKURI0BgxAjgH/EBAAAAAABgHb1799a+ffsCXlNYWKjevXuHqUYAEHtYyQ1oZg6HQzt27JAkZWZmmlwbAAAAAAAAIDpUVFTohx9+kCQNGzbM5NoAAAAglrz88su688479d1336l///5e59esWaMhQ4boiSee0LXXXmtCDQEg+rGSG9DMNm7cqMMPP1x2u121tbVmVwcAAAAAAACICnl5eRoxYgSfuwEAAKDFLV26tMHP/fr10/Dhw3Xcccdp3LhxGjp0qNLT05Wfn68vv/xSr776qs4880z17dvXpBoDQPRjJTegmW3evFmnn366bDabtmzZYnZ1AAAAAAAAgKiwbds2XXnllbLZbFqyZInZ1QEAAEAUs9vtstlsXsfd0ys8z3lOubDZbHI4HC1fQQCIQUxyAwA0q23btmnGjBn69NNPtXPnTlVXV3tdY7PZ+MY1YhYxAgRGjAD+ER8AAAAAAADhMXXqVJ+T3IyYMmVKM9cGACCxXSkAoBlt3rxZJ554ovbv368jjjhCVVVVysrKUnJysjZt2qTa2lodddRRateundlVBUxBjACBESOAf8QHAAAAAABA+EydOtXsKgAAGrGbXQEAQPSYNm2aioqK9Nlnn2nVqlWSpKuvvlq//fabcnNz9bvf/U5lZWV65513TK4pYA5iBAiMGAH8Iz4AAAAAAAAAALGMSW5AEHl5eYf8HxBrPv30U5177rkaPnx4/TH3rtjdunXT22+/LUmaOHGiKfUDzEaMAIERI4B/xAcAIJa8/vrrGjVqlNLT05WUlKT09HSdddZZmjdvntlVAwAAAAAAJmG7UiCI7OzsQ9pv3Wazqba2tgVqBFjX3r171b9///qf4+PjVV5eXv9zUlKSRo4cqffff9+E2gHmI0aAwIgRwD/iAwAQC6qqqnThhRdq4cKFcrlcSklJUbdu3ZSfn69Fixbp008/1euvv6758+crKSnJ7OoCAAAgiuXk5Mhms+nTTz9Vr169lJOTY+g+m82mTZs2tXDtACA2MckNCGLcuHGHNMkNiEWdOnVSWVlZg59zc3MbXBMfH68DBw6Et2KARRAjQGDECOAf8QEAiAXTpk3TggULNHLkSD300EM67rjj6s8tX75c9913nxYsWKAHHnhAM2bMMLGmAAAAiHZOp7NBjrjxz/64V94HADQ/m4vfsgCAZjJixAilpqbq448/liRdcMEF+vzzz7VixQrl5OSooKBARx99tDp27Kiff/7Z5NoC4UeMAIERI4B/xAcAIBZkZWWpXbt2+umnn2S3273OOxwOHX300SouLtbWrVtNqCEAAAAAADCL9ycFAAAconPOOUdLliypX0Hk9ttvV0lJiY488kgNHjxYffv21e7du3XrrbeaW1HAJMQIEBgxAvhHfAAAYkF+fr7OPfdcnxPcJCkuLk6jR49WQUFBmGsGAACAWJeXl6fdu3ebXQ0AiGlMcgMANJsbb7xRn3/+ueLi4iTVrTjy5ptvKisrS7/88ou6dOmip59+Wtddd53JNQXMQYwAgREjgH/EBwAgFvTu3Vv79u0LeE1hYaF69+4dphoBAAAAdXr16qWJEyeaXQ0AiGlsVwocAofDobfffluffvqpdu7cqaqqKq9rbDabPvvsMxNqBwAAAAAAAESel19+WXfeeae+++479e/f3+v8mjVrNGTIED3xxBO69tprTaghAAAAYlXnzp01fvx4PfbYY2ZXBQBiVrzZFQAiTVlZmUaNGqVvv/1WLpdLNptNnnNF3T/bbDYTawkAAAAAAABY29KlSxv83K9fPw0fPlzHHXecxo0bp6FDhyo9PV35+fn68ssv9eqrr+rMM89U3759TaoxAAAAYtWpp56qb7/91uxqAEBMYyU3IEQTJkzQI488ounTp+umm25Sp06dNHXqVF1//fVaunSpJkyYoGOPPVbz5s1TfDzzSBGb/vWvf+mNN97Q2rVrVV5ero0bN0qS1q5dqw8++EBXXHGFunfvbnItAfMQI0BgxAjgH/EBAIgmdrvd5xdF3R9Ze55r/CVTh8PR8hUEAAAA/mfdunUaMmSIbr/9dk2cOJE8MACYgN+8QIjmz5+vIUOG6P77729wvEuXLvr973+vk046SUcddZQee+wxTZgwwaRaAuZwOp267LLL9O6770qSUlJSVFFRUX++ffv2mjhxohwOB/GBmESMAIERI4B/xAcAIBpNnjyZ3RAAAAAQER555BENHDhQ06dP10svvaSjjjpKXbp08RrP2mw2vfLKKybVEgCiGyu5ASFKSUnRjTfeqCeeeEKSFB8fr3vuuUcPPvhg/TXjxo3T999/r7Vr15pVTcAUjz/+uO666y7dcMMNmjlzpp544gk98MADDb5dffrpp6u6ulpfffWViTUFzEGMAIERI4B/xAcAAAAAAIB57Ha7oetYdRgAWg4ruQEhSktLazCIadu2rXbt2tXgmoyMDOXl5YW7aoDpZs+ereOPP17PP/+8JPn8NvZhhx2mjz76KNxVAyyBGAECI0YA/4gPAAAAAAAA82zZssXsKgBAzGOSGxCirKysBhPYBg4cqMWLF6uqqkpJSUlyuVz67LPP1LVrVxNrCZhj48aNuvnmmwNe07FjR+3bty9MNQKshRgBAiNGAP+IDwAAAAAAAPNkZWWZXQUAiHlMcgNCdMYZZ2jWrFmqra1VfHy8rrrqKl177bU66aSTdMYZZ+jrr7/WypUrdccdd5hdVSDsUlJSVFxcHPCarVu3ql27duGpEGAxxAgQGDEC+Ed8AACiUU5Ojmw2mz799FP16tVLOTk5hu6z2WzatGlTC9cOAAAAOOiaa67RBRdcoDFjxvi95uOPP9a7776rf/7zn2GsGQDEDmMbRwOod9111+nOO+9UQUGBpLoBzc0336xVq1bp8ccf1zfffKOxY8dq6tSp5lYUMMExxxyjhQsXqqqqyuf5wsJCLViwQEOGDAlzzQBrIEaAwIgRwD/iAwAQjZxOp5xOZ4OfXS5X0P887wEAAADCYfbs2Vq5cmXAa1avXq05c+aEp0IAEIOY5AaEqE+fPrrnnnsabEf6zDPPaPfu3frmm2+0c+dOvfPOO0pNTTWxloA5brvtNm3btk0XX3yxduzY0eDcpk2bdOGFF6qoqEi33XabSTUEzEWMAIERI4B/xAcAIBrl5uZqy5Yt6tWrV4OfjfwHAAAAWE1lZaXi49lMDwBaCr9hgRBNnz5dOTk5+uMf/9jgeOfOndW5c2eTagVYw/nnn697771XM2fOVGZmptLS0iRJ6enp2rdvn1wulyZNmqTTTz/d5JoC5iBGgMCIEcA/4gMAEAvy8vKUmJiojIwMs6sCAAAAeLHZbD6Pu1wubd++XR9//LG6desW5loBQOywuVwul9mVACJJYmKi/vKXv+iRRx4xuyqAZS1atEjPPvusvvvuOxUWFqpNmzY68cQTddttt+mss84yu3qA6YgRIDBiBPCP+AAARLO4uDiNHz9er7zyitlVAQAAAGS32+sntrlcLr+T3NxcLpfuuecePfzww+GoHgDEHCa5ASHq06ePRowYoZdfftnsqgARy+l0ym5nx2zAH2IECIwYAfwjPgAAkaxz584aP368HnvsMbOrAgAAAGjEiBH1E9uWLl2qzMxMZWdne10XFxenDh066PTTT9d1112nuLi4MNcUAGID25UCIbrssss0e/ZsFRUVqW3btmZXB4goLpdLr776qmbMmKH169ebXR3AcogRIDBiBPCP+AAARINTTz1V3377rdnVAAAAACRJn3/+ef3/2+12XX311Zo8ebJ5FQKAGMdKbkCIqqurNXbsWO3atUvTp0/X4MGDlZ6ebna1ANNVVlZqzZo1io+PV//+/ZWYmNjg/Jtvvqlp06Zp/fr1stlsqq2tNammgDmIESAwYgTwj/gAAMSKdevWaciQIbr99ts1ceJExcfzHW0AAAAAAFCHSW5AiNzLywbbd53kEmLJo48+qunTp6uiokKS1KlTJz333HO6+OKLtXr1ao0fP14rV66UJF144YWaMmWKBg0aZGKNgfAiRoDAiBHAP+IDABBLrrnmGm3YsEFff/21MjIydNRRR6lLly5en8HZbDa98sorJtUSAAAAOOibb77Rf/7zH6WkpOiaa65Rt27dzK4SAEQtJrkBIfLcez2YJUuWtHBtAPO9++67uuSSS2S329W/f3+5XC6tW7dOdrtdb731lq666iqVlpbqggsu0NSpU3XkkUeaXWUgrIgRIDBiBPCP+AAAxBq73W7oOpvNJofD0cK1AQAAAA6688479eyzz2rnzp3q0KGDpLrPbi699FI5nU5JUnp6un788Ud1797dzKoCQNRikhsAoEnOPPNMffXVV1qyZIlOOukkSdLSpUs1cuRIuVwutW3bVm+99ZZOP/10k2sKmIMYAQIjRgD/iA8AQKzZunWr4WuzsrJasCYAAABAQ8cdd5zS09P1ySef1B87/PDDlZ+fr6eeekq7d+/WhAkTdOutt+qJJ54wsaYAEL2Y5AYAaJJOnTrpzDPP1Jtvvtng+B/+8Ae9++67+ve//63zzjvPpNoB5iNGgMCIEcA/4gMAAAAAAMAaOnfurMsuu0xPP/20JGnDhg3q16+fpkyZoilTpkiSzj//fK1bt05r1641s6oAELWMrf8OoF5cXJweeOCBgNc88sgjiouLC1ONAHMdOHBAffr08TruPsbKIoh1xAgQGDEC+Ed8AABizTXXXKMPPvgg4DUff/yxrrnmmjDVCAAAAKhTWlqqVq1a1f/81VdfyWaz6Zxzzqk/NmDAAG3fvt2M6gFATGCSGxAil8slFkAEDnI6nUpISPA67j6Wmpoa7ioBlkKMAIERI4B/xAcAINbMnj1bK1euDHjN6tWrNWfOnPBUCAAAAPifrl27at26dfU/L1iwQK1atdJxxx1Xf6y4uFhJSUlmVA8AYkK82RUAolFBQYFSUlLMrgYQNjabzewqAJZGjACBESOAf8QHAAANVVZWKj6ej7UBAAAQXsOHD9cbb7yh5557TsnJyXr//fc1ZsyYBrt7bdy4UT169DCxlgAQ3WwulqQCgpo7d279/48fP14XXHCBLrjgAq/rHA6Htm/frieffFJ9+vTRt99+G8ZaAuaw2+2Kj4/3+oC5trZWDofD5zdWbDabysrKwlVFwFTECBAYMQL4R3wAAGKN3W7XtGnTNGnSJK9zLpdL27dv18UXX6z8/Hxt2bLFhBoCAAAgVm3cuFGDBw9WcXGxXC6XUlNT9e2332rgwIGS6hZB6dGjh/70pz/p+eefN7m2ABCdmOQGGGC32w2toOAOp5SUFL333ns6++yzW7pqgOmys7MPaYURPoxGrCBGgMCIEcA/4gMAEAs8P3dzuVxB//a5XC7dc889evjhh8NRPQAAAKDerl279N5770mSzjvvPGVnZ9efW758uV5//XVdfvnlGjx4sEk1BIDoxiQ3wIA5c+ZIqvsQ7ZprrtEFF1yg888/3+u6uLg4dejQQSeddJLat28f7moCAAAAAAAAEWXEiBH1E9uWLl2qzMzMBslCN/fnbqeffrquu+66BttCAQAAAACA6MckNyBEV199tS688EKNGTPG7KoAAAAAAAAAUcNut2vq1KmaPHmy2VUBAAAAAAAWwyQ3AAAAAAAAAAAAAACA/5k+fbpsNptuvvlmdejQQdOnTzd0n81m06RJk1q4dgAQm5jkBhyi2tparVu3TgcOHJDD4fB5zbBhw8JcK8DaHA6HduzYIUnKzMw0uTaA9RAjQGDECOAf8QEAiGbffPON/vOf/yglJUXXXHONunXrZnaVAAAAEOXsdrtsNpt+++039e3bV3a73dB9NpvNb+4YANA08WZXAIg0LpdLkydP1jPPPKOSkpKA1zKAARrauHGjDj/8cNntdtXW1ppdHcByiBEgMGIE8I/4AABEgzvvvFPPPvusdu7cL3ER6gAAIAdJREFUqQ4dOkiS3n33XV166aVyOp2SpGeffVY//vijunfvbmZVAQAAEOWWLFki6eCXCd0/AwDMwyQ3IEQPPPCAHnzwQbVr107jxo1Tjx49FB9PKAFGJCQkKDMzUzabzeyqAJZEjACBESOAf8QHACAaLFmyRKeddlr9BDdJmjRpktq2baunnnpKu3fv1oQJE/T444/riSeeMLGmAAAAiHbDhw8P+DMAIPzYrhQIUXZ2tmw2m5YvX66OHTuaXR0AAAAAAAAgKnTu3FmXXXaZnn76aUnShg0b1K9fP02ZMkVTpkyRJJ1//vlat26d1q5da2ZVAQAAEGN27Nih999/Xz/88IP27t0rqW78OnjwYF144YXq2rWryTUEgOjH8lNAiPbs2aMbbriBCW4AAAAAAABAMyotLVWrVq3qf/7qq69ks9l0zjnn1B8bMGCAPvvsMzOqBwAAgBg1ZcoUPfroo6qurlbjNYTmzp2rO++8U/fdd5/uv/9+k2oIALGBSW5AiHr16qXi4mKzqwEAAAAAAABEla5du2rdunX1Py9YsECtWrXScccdV3+suLhYSUlJZlQPAAAAMWjixIl6+OGHlZSUpCuvvFLDhw9Xt27d5HK5tGvXLi1ZskTvvPOOpkyZotraWk2dOtXsKgNA1GK7UiBEzz//vKZNm6bVq1crPT3d7OoApsrLyzvkezMzM5uxJoA1ESNAYMQI4B/xAQCIRVdffbXeeOMNPf7440pOTtZNN92kMWPG6J133qm/5qyzztLu3bu1atUqE2sKAACAWLB582b169dPmZmZWrBggfr06ePzuvXr1+uss87Sjh07tG7dOvXq1SvMNQWA2MAkNyBEeXl5uvPOO7VixQpNnjxZxxxzjNq2bevzWpJLiHZ2u102my3k+2w2m2pra1ugRoC1ECNAYMQI4B/xAQCIRRs3btTgwYNVXFwsl8ul1NRUffvttxo4cKAkqaCgQD169NCf/vQnPf/88ybXFgAAANFuypQpmjFjhpYuXapTTjkl4LVfffWVhg0bpilTpmjKlClhqiEAxBa2KwVClJ2dLZvNJpfLpauvvtrvdSSXEAvGjRt3SMlXIFYQI0BgxAjgH/EBAIhFhx12mNasWaP33ntPknTeeecpOzu7/vzWrVt100036fLLLzephgAAAIgly5Yt08CBA4NOcJOkoUOHauDAgfryyy/DUDMAiE2s5AaEaPz48YaTTbNmzWrh2gAAAAAAAAAAAAAAmlv37t117rnn6uWXXzZ0/XXXXadPPvlE27dvb+GaAUBsYiU3IESzZ882uwoAAAAAAAAAAAAAgBZ04MABpaenG74+PT1dBw4caLkKAUCMY5IbAAAAAAAAACDspk+fLpvNpptvvlkdOnTQ9OnTDd1ns9k0adKkFq4dAAAAYl1FRYWSkpIMX5+YmKiKiooWrBEAxDYmuQGHaPfu3Zo/f77Wrl2rsrIyvfLKK5KkgoICbdmyRYMGDVJKSorJtQTCz+Fw6O2339ann36qnTt3qqqqyusam82mzz77zITaAeYjRoDAiBHAP+IDABBtpk6dKpvNpj/84Q/q0KGDpk6daug+JrkBAAAAABB7bC6Xy2V2JYBI8/zzz+uOO+6oTyrZbDY5HA5J0q+//qojjzxSL7zwgq677jozqwmEXVlZmUaNGqVvv/1WLpdLNptNnn9m3D97xgwQS4gRIDBiBPCP+AAARKMvvvhCknTiiScqOTm5/mcjhg8f3lLVAgAAACRJdrtdhx12mA477DBD12/cuFGbNm3isxkAaCFMcgNC9OGHH+r888/X8ccfr8mTJ+uTTz7RCy+80GCwcswxx6hbt2766KOPTKwpEH4TJkzQI488ounTp+umm25Sp06dNHXqVF1//fVaunSpJkyYoGOPPVbz5s1TfDyLiSL2ECNAYMQI4B/xAQAAAAAAEF52uz3ke/gCIgC0HD75BkL02GOPKTMzU0uWLFFaWpp+/PFHr2sGDRqkL7/80oTaAeaaP3++hgwZovvvv7/B8S5duuj3v/+9TjrpJB111FF67LHHNGHCBJNqCZiHGAECI0YA/4gPAEAs2LFjh95//3398MMP2rt3rySpc+fOGjx4sC688EJ17drV5BoCAAAglmzZssXsKgAAPIQ+9RiIcStXrtTo0aOVlpbm95ru3btrz549YawVYA15eXkaMmRI/c92u71+W19J6tGjh0aPHq05c+aYUT3AdMQIEBgxAvhHfAAAot2UKVN02GGH6bbbbtPcuXP18ccf6+OPP9acOXN06623qnfv3poxY4bZ1QQAAEAMycrKOqT/AAAtg5XcgBA5nU4lJCQEvKagoEBJSUlhqhFgHWlpaQ2Wbm7btq127drV4JqMjAzl5eWFu2qAJRAjQGDECOAf8QEAiGYTJ07Uww8/rKSkJF155ZUaPny4unXrJpfLpV27dmnJkiV65513NGXKFNXW1mrq1KlmVxkAAAAAAIQZk9yAEPXr109fffWV3/O1tbX64osvNGjQoDDWCrCGrKysBonVgQMHavHixaqqqlJSUpJcLpc+++wzthdBzCJGgMCIEcA/4gMAEK02b96sRx99VL169dKCBQvUp08fr2uuvvpq3X///TrrrLP00EMP6aqrrlKvXr1MqC0AAAAAADAL25UCIbriiiu0YsUKn9sjOBwO3Xnnndq8ebPGjRtnQu0Ac51xxhlasmSJamtrJUlXXXWV8vLydNJJJ+muu+7S0KFDtXLlSl100UUm1xQwBzECBEaMAP4RHwCAaDVnzhw5nU7NnTvX5wQ3t759++rVV19VbW2t5s6dG8YaAgAAAAAAK7C5XC6X2ZUAIklNTY1GjRqlpUuX6rDDDlNSUpJ+/fVXXXTRRVq+fLlyc3M1atQoffLJJ7LZbGZXFwirDRs2aP78+Ro3blz9KiK33nqrnn/+ebn/3Fx00UWaM2eOUlNTzawqYApiBAiMGAH8Iz4AANHqzDPPVEFBgVatWmXo+iOPPFLp6en69NNPW7hmAAAAAADASpjkBhyC6upqTZs2TS+88IL2799ff7xNmza68cYbNW3aNCUmJppYQ8BaCgoKtHnzZmVlZSkjI8Ps6gCWQ4wAgREjgH/EBwAg0nXv3l3nnnuuXn75ZUPXX3fddfrkk0+0ffv2Fq4ZAAAAAACwEia5AU3gcrm0bt06FRYWqk2bNjr88MMVFxdndrUA00yfPl05OTn64x//aHZVAEsiRoDAiBHAP+IDABCt0tLSdPvtt+vBBx80dP3EiRP11FNPqbS0tIVrBgAAAAAArMRudgWASPHggw/qvvvuU01NTf0xm82m/v376+STT9bAgQPlcDg0ceJEzZw508SaAuaZMWOGVq9ebXY1AMsiRoDAiBHAP+IDABCtKioqlJSUZPj6xMREVVRUtGCNAAAAAACAFTHJDTDg008/1eTJk9WxY0clJCT4vS4xMVEdO3bUxIkTtXjx4jDWELCGrKwsFRYWml0NwLKIESAwYgTwj/gAAAAAAAAAAMSyeLMrAESCuXPnqn379rrllluCXnvzzTfr4Ycf1qxZs3T66aeHoXaAdVx22WWaPXu2ioqK1LZtW7OrA1gOMQIERowA/hEfAIBo9tprr+nbb781dO3GjRtbuDYAAAAAAMCKbC6Xy2V2JQCrO+yww3T88cfrzTffNHT9ZZddpu+//16bNm1q4ZoB1lJdXa2xY8dq165dmj59ugYPHqz09HSzqwVYBjECBEaMAP4RHwCAaGW3h77ZiM1mk8PhaIHaAAAAAAAAq2IlN8CAnTt3Kicnx/D1vXr10r//f3t3HmNVff4P/H1ngAEV1GJRAREXcEVT+48theKGoK1VcWksIm6NVqsVt4oJiohR6eISjbFWFK1N2yitNmBREa1Sta6NKKACLoCAIuJSYID7+4Mw307hXumPYe6Feb2Sm8D5POfc5wx5Z5J7H87nL3/ZhB1BdWrXrl2SpFgs5phjjilZVygUsnLlyuZqC6qGjEB5MgKlyQcAW6rZs2dXugUAAABgM2DIDTZATU1N6uvrN7i+vr7+/+t/ocLmrk+fPikUCpVuA6qWjEB5MgKlyQcAW6pdd9210i0AAAAAmwHblcIG6NmzZ/bYY49MnDhxg+oHDhyYWbNmZcaMGZu4MwAAAAAAAAAA2LJ51BRsgD59+mTy5MmZM2fOV9bOmTMnkydPTt++fTd9YwAAAAAAAAAAsIUz5AYb4Lzzzkt9fX1OOOGEfPTRRyXrPv7445x44olZuXJlzj333GbsEKpDbW1tRo0aVbbmhhtuSG1tbTN1BNVFRqA8GYHS5AMAAAAAgJasVaUbgM3BQQcdlJ/97Ge56aabsu++++acc87JIYcckq5duyZJ5s6dmyeeeCJ33nlnFi1alGHDhuWggw6qcNfQ/IrFYuyCDaXJCJQnI1CafAAAAAAA0JIZcoMN9Mtf/jJt27bNmDFjMnr06IwePbrRerFYTG1tba644opce+21FeoSqt+iRYvSrl27SrcBVUtGoDwZgdLkAwAAAACALZUhN9hAhUIh1113Xc4888yMHTs2U6dOzYcffpgk2WmnndK7d+8MHTo0e+yxR4U7heY1bty4Rn9/9dVX1zmWJKtWrcoHH3yQsWPHZv/992+u9qDiZATKkxEoTT4AAAAAAGCNQtF+JwBshJqamhQKha+sW/vrpl27dnnwwQczYMCATd0aVAUZgfJkBEqTDwAAAAAAWMOQGwAb5d57702y5svVM844I8cee2x+8IMfrFNXW1ubr33ta/nWt76V7bffvrnbhIqREShPRqA0+QAAAAAAgDUMuQHQZE4//fQcd9xxOeaYYyrdClQlGYHyZARKkw8AAAAAAFoyQ24AAAAAAAAAAABUrVaVbgCALc/KlSszY8aMLFmyJKtWrVpvTd++fZu5K6geMgLlyQiUJh8AAAAAALREhtwAaDLFYjEjRozIrbfems8++6xsbakvZWFLJiNQnoxAafIBAAAAAEBLZsgNgCYzatSojB49Otttt12GDBmSrl27plUrv2pgLRmB8mQESpMPAAAAAABaskKxWCxWugkAtgzdu3dPoVDIiy++mI4dO1a6Hag6MgLlyQiUJh8AAAAAALRkNZVuAIAtx4IFC3Lsscf64hVKkBEoT0agNPkAAAAAAKAlM+QGQJPZbbfdsnTp0kq3AVVLRqA8GYHS5AMAAAAAgJbMkBsATeb888/PX//61yxcuLDSrUBVkhEoT0agNPkAAAAAAKAlKxSLxWKlmwBgy/Dee+/lkksuycsvv5wRI0bkG9/4Rrbddtv11nbr1q2Zu4PKkxEoT0agNPkAAAAAAKAlM+QGQJOpqalJoVBIsVhMoVAoWVcoFLJy5cpm7Ayqg4xAeTICpckHAAAAAAAtWatKNwDAlmPIkCFlv3SFlk5GoDwZgdLkAwAAAACAlsyT3AAAAAAAAAAAAKhaNZVuAAAAAAAAAAAAAEqxXSkATe7DDz/MQw89lOnTp+eLL77Ib3/72yTJokWLMnv27PTq1Svt2rWrcJdQOTIC5ckIlCYfAAAAAAC0RLYrBaBJ3X777bn44ouzfPnyJEmhUMiqVauSJNOmTcsBBxyQO+64I2effXYl24SKkREoT0agNPkAAAAAAKClsl0pAE3mkUceyfnnn59evXrl4Ycfzrnnnttofb/99ssBBxyQP//5z5VpECpMRqA8GYHS5AMAAAAAgJbMdqUANJkxY8akW7duefLJJ7P11lvnpZdeWqemV69e+fvf/16B7qDyZATKkxEoTT4AAAAAAGjJPMkNgCbz6quv5uijj87WW29dsqZLly5ZsGBBM3YF1UNGoDwZgdLkAwAAAACAlsyQGwBNZvXq1WndunXZmkWLFqWurq6ZOoLqIiNQnoxAafIBAAAAAEBLZsgNgCaz11575Zlnnim5vnLlyjz11FPp1atXM3YF1UNGoDwZgdLkAwAAAACAlsyQGwBN5kc/+lFefvnlXHvtteusrVq1KpdccklmzZqVIUOGVKA7qDwZgfJkBEqTDwAAAAAAWrJCsVgsVroJALYM9fX16d+/f55++unsueeeqaury7Rp0zJo0KC8+OKLmTNnTvr375+JEyemUChUul1odjIC5ckIlCYfAAAAAAC0ZIbcAGhSK1asyMiRI3PHHXfkk08+aTjeoUOHnHvuuRk5cmTatGlTwQ6hsmQEypMRKE0+AAAAAABoqQy5AbBJFIvFzJgxI4sXL06HDh2yzz77pLa2ttJtQdWQEShPRqA0+QAAAAAAoKUx5AYAAAAAAAAAAEDVqql0AwBs/kaPHp3hw4envr6+ZM2KFSsyfPjwXH/99c3YGVQHGYHyZARKkw8AAAAAADDkBsBGevzxxzNixIh07NgxrVu3LlnXpk2b7LDDDrnyyiszefLkZuwQKktGoDwZgdLkAwAAAAAA1rBdKQAbZciQIZkwYULmzp2burq6srXLly9P165dM2DAgNx3333N1CFUloxAeTICpckHAAAAAACs4UluAGyUqVOn5vDDD//KL16TpK6uLocffnimTp3aDJ1BdZARKE9GoDT5AAAAAACANQy5AbBR5s2bl913332D63fbbbfMnz9/E3YE1UVGoDwZgdLkAwAAAAAA1jDkBsBGqampSX19/QbX19fXp6bGrx9aDhmB8mQESpMPAAAAAABYw6ffAGyUzp075/XXX9/g+tdffz1dunTZhB1BdZERKE9GoDT5AAAAAACANQy5AbBR+vTpk8mTJ2fOnDlfWTtnzpxMnjw5ffv23fSNQZWQEShPRqA0+QAAAAAAgDUMuQGwUc4777zU19fnhBNOyEcffVSy7uOPP86JJ56YlStX5txzz23GDqGyZATKkxEoTT4AAAAAAGCNQrFYLFa6CQA2b8OGDctNN92UHXbYIeecc04OOeSQdO3aNUkyd+7cPPHEE7nzzjuzaNGiDBs2LL/4xS8q3DE0LxmB8mQESpMPAAAAAAAw5AZAEygWi7nyyiszZsyYrF69er3rtbW1ueyyy3LttdemUChUoEuoHBmB8mQESpMPAAAAAAAw5AZAE3rnnXcyduzYTJ06NR9++GGSZKeddkrv3r0zdOjQ7LHHHhXuECpLRqA8GYHS5AMAAAAAgJbMkBsAAAAAAAAAAABVq6bSDQAAAAAAAAAAAEAphtwAAAAAAAAAAACoWobcAAAAAAAAAAAAqFqG3AAAAAAAAAAAAKhahtwAAAAAgGbVr1+/FAqFTJkypdKtAAAAALAZMOQGAAAAAE2ke/fuKRQKX/m65557Kt3qJjNlypRcffXVBtgAAAAAaDKtKt0AAAAAAGxpevTokU6dOpVc33HHHZuxm+Y1ZcqUjBw5MsmaJ7atT7du3bLXXntlq622asbOAAAAANhcGXIDAAAAgCY2fPjwDB06tNJtVK1x48ZVugUAAAAANiO2KwUAAAAAAAAAAKBqGXIDAAAAgAo566yzUigUcsQRR6RYLK6zPmLEiBQKhfTq1SvLly9vtDZ9+vScccYZ6d69e+rq6tKxY8ccffTRmTx5csn3KxaL+dOf/pSjjjoqnTp1Sl1dXbp165aBAwfmnnvuaVTbr1+/FAqFTJkyZb3XGjp0aAqFQqPzCoVCw1alI0eOTKFQaHj955Ptyl27WCzm/vvvz3e/+91st912adeuXfbee+9cfvnlWbx48Xp7WfseSTJx4sT07ds37du3z7bbbpuBAwfmlVdeKfkzAQAAAKD6GXIDAAAAgAq56aabsvvuu+fxxx/PzTff3Gjt+eefz3XXXZc2bdrk/vvvT11dXcPaH//4xxx44IEZO3ZsFi9enH333Tdt2rTJhAkTcvjhh+fWW29d571WrFiRQYMG5aSTTsrEiRPTqlWrHHjggVm9enX+9re/5fTTT9/o++ndu3d22WWXJMkuu+yS3r17N7x69uz5lecXi8UMHjw4p556ap5++ul07Ngx++67b2bPnp0bb7wxBx10UGbNmlXy/DvuuCNHH3103n777fTs2TOrVq3Ko48+mr59+2b69OkbfX8AAAAAVIYhNwAAAACokG222Sb33Xdfamtrc8UVV2TatGlJki+//DKnnnpqVq1alVGjRuXAAw9sOOdf//pXhgwZkpqamtx5551ZsmRJXnnllcyfPz8PP/xw2rdvn4suuiivvfZao/e6/PLLM378+Oywww6ZOHFi5s2blxdeeCEffPBBPvjgg1x11VUbfT/PPPNMzjjjjCTJGWeckWeeeabhNXz48K88/7bbbssDDzyQ9u3bZ9KkSXnnnXfy0ksv5d13303v3r3z7rvv5pRTTil5/sUXX5y777478+bNy0svvZT58+fnsMMOy+eff56rr756o+8PAAAAgMow5AYAAAAATez0009vtFXnf7+WLFnSUPvtb387l112WZYtW5bBgwdnxYoVGTZsWN5666307ds3l1xySaNrjxw5MsuXL88NN9yQs88+OzU1//cR3/e///2MHj06q1atyi233NJwfN68ebntttuSJA899FAGDBjQ6JqdO3eu+BBYsVjMjTfemCS55pprcsQRRzSs7bTTTvnDH/6QNm3a5Pnnny+5JeuZZ57ZaFvU9u3b59e//nWS5NFHH910zQMAAACwSbWqdAMAAAAAsKXp0aNHOnXqVHK9VavGH8uNHDkyjz76aF555ZV873vfy2OPPZYOHTpk3LhxjYbYVqxYkQkTJqS2trbRMNd/OuaYY/LTn/40Tz31VMOxCRMmpL6+PgcffHD69OmzcTe3ibz55pt5//3307Zt25x99tnrrHfp0iWDBg3K73//+0yaNCmHHnroOjVnnXXWOsd69eqVtm3b5tNPP83HH3+cjh07bpL+AQAAANh0DLkBAAAAQBMbPnx4ySG09WndunXuv//+fPOb38xjjz2WJLnllluy6667NqqbOXNmli1bljZt2uSoo45a77WKxWKSZO7cuQ3H3nzzzSTJwQcf/L/cRrOaOXNmkqRbt27Zeuut11uz3377Nar9b3vsscd6j3/961/P+++/n88//9yQGwAAAMBmyJAbAAAAAFSBPffcM926dcvMmTOz7bbbZtCgQevUfPrpp0nWPNHt2WefLXu9ZcuWNfx56dKlSZLtttuu6RpuYp9//nmSlH0C3o477pgk+eyzz9a7Xmo4bu3T8NYOAAIAAACwean56hIAAAAAYFO78sorM3PmzNTU1OTTTz/NRRddtE7NNttsk2TN1p3FYvErX2u1b98+SbJkyZIN7qdQKCQpPRj2xRdfbPC1NsTae1u4cGHJmgULFiT5v/sBAAAAoGUw5AYAAAAAFfb000/nV7/6Vbbaaqs89thj2W677XLXXXflkUceaVTXo0ePtG7dOvPnz8/ixYs3+Pprt/l87rnnNvictU9FW7Ro0XrX33777fUeXzsc97/q2bNnkuS9995reKrbf5s2bVqjWgAAAABaBkNuAAAAAFBBS5cuzWmnnZbVq1dnzJgxOfTQQ3PbbbclSc4666xGQ2ZbbbVVjjzyyKxevTq33HLLBr/HUUcdldatW+e55577ym1O19p9992TJP/85z/XWXvxxRfz2muvrfe8du3aJUn+/e9/b3B/SbLPPvukW7duWbZsWe6666511ufNm5cHH3wwSXLkkUf+T9cGAAAAYPNmyA0AAAAAKuiCCy7InDlz0r9///zkJz9Jkpxyyik5+eSTs3Dhwvz4xz9uVD9q1KjU1dXl2muvzfXXX7/OMNn8+fNz880354477mg4tvPOO+f8889Pkhx//PGZNGlSo3PmzZuXa665ptGxgQMHJkl+85vf5IUXXmg4/tZbb+W0005Lq1at1ns/a4fjpk6dmpUrV27wz6FQKOTSSy9Nklx11VV54oknGtYWLFiQH/7wh1mxYkUOPvjgHHLIIRt8XQAAAAA2f4VisVisdBMAAAAAsCXo3r173n333fTo0SOdOnUqWXfSSSflggsuyPjx43P88cdn++23z+uvv57OnTs31HzyySfZf//9M2/evNx99905/fTTG9bGjx+fwYMH58svv0zbtm2z9957p02bNpk/f37ef//9JMnll1+e66+/vuGc5cuX5+STT85f/vKXJEnnzp3TpUuXzJ8/P3Pnzk2xWMx/flRYLBbTv3//PP7446mpqWnYKvWNN97Id77znXTt2jUPPPBAxo4dm6FDhzact3Tp0nTv3j2ffPJJdt555+y+++5p1apVBgwYkJ///OdJkn79+uWpp57Kk08+mX79+jV6z8GDB+eBBx5Ikuy5557p0KFDXn/99axYsSLdunXLk08+2TBIt9baLVJLfdS59t9l9uzZ6d69e8l/FwAAAACqkye5AQAAAEATe+utt/Lss8+WfM2aNSsLFixoeErb7bff3mjALUm23377jB07NoVCIRdeeGHmzJnTsHbcccfljTfeyIUXXpju3btnxowZeeONN7LVVlvluOOOy7333tswULZWXV1dxo8fn9/97nc57LDDsmzZsrz22mupqanJUUcdlXHjxjWqLxQKGT9+fIYNG5bOnTtn9uzZ+eKLL3LFFVdk0qRJad269XrvvUOHDpk0aVIGDhyY5cuX5x//+EeeeuqpTJ8+/St/boVCIffff3/GjRuXPn36ZOHChZk2bVp23XXXXHrppXn55ZfXGXADAAAAYMvnSW4AAAAAAAAAAABULU9yAwAAAAAAAAAAoGoZcgMAAAAAAAAAAKBqGXIDAAAAAAAAAACgahlyAwAAAAAAAAAAoGoZcgMAAAAAAAAAAKBqGXIDAAAAAAAAAACgahlyAwAAAAAAAAAAoGoZcgMAAAAAAAAAAKBqGXIDAAAAAAAAAACgahlyAwAAAAAAAAAAoGoZcgMAAAAAAAAAAKBqGXIDAAAAAAAAAACgahlyAwAAAAAAAAAAoGoZcgMAAAAAAAAAAKBq/T9tRLAv6K80AAAAAABJRU5ErkJggg==",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.plot_graph(\"medium\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 9,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_63e29 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_63e29 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_63e29_row0_col0 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row0_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row1_col0 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row1_col2 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row2_col0, #T_63e29_row2_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row3_col0 {\n",
+ " background-color: #73fb73;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row3_col2 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row4_col0 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row4_col2 {\n",
+ " background-color: #c8f5c8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row5_col0 {\n",
+ " background-color: #a1f8a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row5_col2 {\n",
+ " background-color: #87fa87;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_63e29_row6_col0, #T_63e29_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_63e29\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_63e29_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_63e29_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_63e29_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_63e29_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_63e29_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_63e29_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_63e29_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_63e29_row0_col0\" class=\"data row0 col0\" >77.45</td>\n",
+ " <td id=\"T_63e29_row0_col1\" class=\"data row0 col1\" >3.42</td>\n",
+ " <td id=\"T_63e29_row0_col2\" class=\"data row0 col2\" >72.38</td>\n",
+ " <td id=\"T_63e29_row0_col3\" class=\"data row0 col3\" >4.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_63e29_row1_col0\" class=\"data row1 col0\" >78.77</td>\n",
+ " <td id=\"T_63e29_row1_col1\" class=\"data row1 col1\" >4.41</td>\n",
+ " <td id=\"T_63e29_row1_col2\" class=\"data row1 col2\" >68.26</td>\n",
+ " <td id=\"T_63e29_row1_col3\" class=\"data row1 col3\" >5.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_63e29_row2_col0\" class=\"data row2 col0\" >62.65</td>\n",
+ " <td id=\"T_63e29_row2_col1\" class=\"data row2 col1\" >4.15</td>\n",
+ " <td id=\"T_63e29_row2_col2\" class=\"data row2 col2\" >55.41</td>\n",
+ " <td id=\"T_63e29_row2_col3\" class=\"data row2 col3\" >4.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_63e29_row3_col0\" class=\"data row3 col0\" >83.77</td>\n",
+ " <td id=\"T_63e29_row3_col1\" class=\"data row3 col1\" >4.17</td>\n",
+ " <td id=\"T_63e29_row3_col2\" class=\"data row3 col2\" >76.18</td>\n",
+ " <td id=\"T_63e29_row3_col3\" class=\"data row3 col3\" >4.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_63e29_row4_col0\" class=\"data row4 col0\" >71.97</td>\n",
+ " <td id=\"T_63e29_row4_col1\" class=\"data row4 col1\" >4.87</td>\n",
+ " <td id=\"T_63e29_row4_col2\" class=\"data row4 col2\" >62.67</td>\n",
+ " <td id=\"T_63e29_row4_col3\" class=\"data row4 col3\" >5.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_63e29_row5_col0\" class=\"data row5 col0\" >75.72</td>\n",
+ " <td id=\"T_63e29_row5_col1\" class=\"data row5 col1\" >3.33</td>\n",
+ " <td id=\"T_63e29_row5_col2\" class=\"data row5 col2\" >76.41</td>\n",
+ " <td id=\"T_63e29_row5_col3\" class=\"data row5 col3\" >3.81</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_63e29_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_63e29_row6_col0\" class=\"data row6 col0\" >94.86</td>\n",
+ " <td id=\"T_63e29_row6_col1\" class=\"data row6 col1\" >2.35</td>\n",
+ " <td id=\"T_63e29_row6_col2\" class=\"data row6 col2\" >94.04</td>\n",
+ " <td id=\"T_63e29_row6_col3\" class=\"data row6 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc28ff5d5d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_bidded(\"medium\", tables_type=\"conso\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 10,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_f6695 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_f6695 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_f6695_row0_col0 {\n",
+ " background-color: #4dfd4d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row0_col2 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row0_col4 {\n",
+ " background-color: #f79b9b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row1_col0 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row1_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row1_col4 {\n",
+ " background-color: #fe1111;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f6695_row2_col0 {\n",
+ " background-color: #c5f5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row2_col2 {\n",
+ " background-color: #dff4df;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row2_col4 {\n",
+ " background-color: #fd2a2a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f6695_row3_col0, #T_f6695_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row3_col2 {\n",
+ " background-color: #68fc68;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row3_col4 {\n",
+ " background-color: #f88d8d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row4_col0 {\n",
+ " background-color: #7bfa7b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row4_col2, #T_f6695_row5_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row4_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f6695_row5_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row5_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row6_col0 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f6695_row6_col4 {\n",
+ " background-color: #f5bdbd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_f6695\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_f6695_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_f6695_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_f6695_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_f6695_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_f6695_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_f6695_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_f6695_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_f6695_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_f6695_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_f6695_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_f6695_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_f6695_row0_col0\" class=\"data row0 col0\" >95.43</td>\n",
+ " <td id=\"T_f6695_row0_col1\" class=\"data row0 col1\" >1.64</td>\n",
+ " <td id=\"T_f6695_row0_col2\" class=\"data row0 col2\" >97.02</td>\n",
+ " <td id=\"T_f6695_row0_col3\" class=\"data row0 col3\" >2.58</td>\n",
+ " <td id=\"T_f6695_row0_col4\" class=\"data row0 col4\" >1.32</td>\n",
+ " <td id=\"T_f6695_row0_col5\" class=\"data row0 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_f6695_row1_col0\" class=\"data row1 col0\" >94.40</td>\n",
+ " <td id=\"T_f6695_row1_col1\" class=\"data row1 col1\" >1.83</td>\n",
+ " <td id=\"T_f6695_row1_col2\" class=\"data row1 col2\" >96.58</td>\n",
+ " <td id=\"T_f6695_row1_col3\" class=\"data row1 col3\" >2.62</td>\n",
+ " <td id=\"T_f6695_row1_col4\" class=\"data row1 col4\" >1.49</td>\n",
+ " <td id=\"T_f6695_row1_col5\" class=\"data row1 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_f6695_row2_col0\" class=\"data row2 col0\" >90.99</td>\n",
+ " <td id=\"T_f6695_row2_col1\" class=\"data row2 col1\" >2.62</td>\n",
+ " <td id=\"T_f6695_row2_col2\" class=\"data row2 col2\" >95.88</td>\n",
+ " <td id=\"T_f6695_row2_col3\" class=\"data row2 col3\" >2.61</td>\n",
+ " <td id=\"T_f6695_row2_col4\" class=\"data row2 col4\" >1.46</td>\n",
+ " <td id=\"T_f6695_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_f6695_row3_col0\" class=\"data row3 col0\" >96.37</td>\n",
+ " <td id=\"T_f6695_row3_col1\" class=\"data row3 col1\" >1.39</td>\n",
+ " <td id=\"T_f6695_row3_col2\" class=\"data row3 col2\" >98.33</td>\n",
+ " <td id=\"T_f6695_row3_col3\" class=\"data row3 col3\" >1.77</td>\n",
+ " <td id=\"T_f6695_row3_col4\" class=\"data row3 col4\" >1.33</td>\n",
+ " <td id=\"T_f6695_row3_col5\" class=\"data row3 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_f6695_row4_col0\" class=\"data row4 col0\" >93.76</td>\n",
+ " <td id=\"T_f6695_row4_col1\" class=\"data row4 col1\" >1.86</td>\n",
+ " <td id=\"T_f6695_row4_col2\" class=\"data row4 col2\" >95.63</td>\n",
+ " <td id=\"T_f6695_row4_col3\" class=\"data row4 col3\" >3.16</td>\n",
+ " <td id=\"T_f6695_row4_col4\" class=\"data row4 col4\" >1.51</td>\n",
+ " <td id=\"T_f6695_row4_col5\" class=\"data row4 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_f6695_row5_col0\" class=\"data row5 col0\" >89.61</td>\n",
+ " <td id=\"T_f6695_row5_col1\" class=\"data row5 col1\" >2.41</td>\n",
+ " <td id=\"T_f6695_row5_col2\" class=\"data row5 col2\" >97.34</td>\n",
+ " <td id=\"T_f6695_row5_col3\" class=\"data row5 col3\" >1.78</td>\n",
+ " <td id=\"T_f6695_row5_col4\" class=\"data row5 col4\" >1.21</td>\n",
+ " <td id=\"T_f6695_row5_col5\" class=\"data row5 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f6695_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_f6695_row6_col0\" class=\"data row6 col0\" >95.91</td>\n",
+ " <td id=\"T_f6695_row6_col1\" class=\"data row6 col1\" >1.62</td>\n",
+ " <td id=\"T_f6695_row6_col2\" class=\"data row6 col2\" >99.38</td>\n",
+ " <td id=\"T_f6695_row6_col3\" class=\"data row6 col3\" >1.07</td>\n",
+ " <td id=\"T_f6695_row6_col4\" class=\"data row6 col4\" >1.27</td>\n",
+ " <td id=\"T_f6695_row6_col5\" class=\"data row6 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc226e6ed90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_qos(\"medium\", tables_type=\"conso\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 11,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_e2aa9 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_e2aa9 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_e2aa9_row0_col0, #T_e2aa9_row0_col2 {\n",
+ " background-color: #96f996;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row0_col4 {\n",
+ " background-color: #fa6666;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e2aa9_row1_col0, #T_e2aa9_row1_col2 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row1_col4 {\n",
+ " background-color: #fa5d5d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e2aa9_row2_col0, #T_e2aa9_row2_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row2_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e2aa9_row3_col0, #T_e2aa9_row3_col2 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row3_col4 {\n",
+ " background-color: #f89292;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row4_col0, #T_e2aa9_row4_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row4_col4 {\n",
+ " background-color: #fc3c3c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e2aa9_row5_col0, #T_e2aa9_row5_col2 {\n",
+ " background-color: #9df89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row5_col4 {\n",
+ " background-color: #fb5858;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e2aa9_row6_col0, #T_e2aa9_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e2aa9_row6_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_e2aa9\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_e2aa9_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_e2aa9_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_e2aa9_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_e2aa9_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_e2aa9_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_e2aa9_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_e2aa9_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_e2aa9_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_e2aa9_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_e2aa9_row0_col0\" class=\"data row0 col0\" >70.02</td>\n",
+ " <td id=\"T_e2aa9_row0_col1\" class=\"data row0 col1\" >4.02</td>\n",
+ " <td id=\"T_e2aa9_row0_col2\" class=\"data row0 col2\" >1.27</td>\n",
+ " <td id=\"T_e2aa9_row0_col3\" class=\"data row0 col3\" >0.07</td>\n",
+ " <td id=\"T_e2aa9_row0_col4\" class=\"data row0 col4\" >50.23</td>\n",
+ " <td id=\"T_e2aa9_row0_col5\" class=\"data row0 col5\" >3.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_e2aa9_row1_col0\" class=\"data row1 col0\" >68.45</td>\n",
+ " <td id=\"T_e2aa9_row1_col1\" class=\"data row1 col1\" >5.01</td>\n",
+ " <td id=\"T_e2aa9_row1_col2\" class=\"data row1 col2\" >1.24</td>\n",
+ " <td id=\"T_e2aa9_row1_col3\" class=\"data row1 col3\" >0.09</td>\n",
+ " <td id=\"T_e2aa9_row1_col4\" class=\"data row1 col4\" >51.15</td>\n",
+ " <td id=\"T_e2aa9_row1_col5\" class=\"data row1 col5\" >3.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_e2aa9_row2_col0\" class=\"data row2 col0\" >53.65</td>\n",
+ " <td id=\"T_e2aa9_row2_col1\" class=\"data row2 col1\" >3.99</td>\n",
+ " <td id=\"T_e2aa9_row2_col2\" class=\"data row2 col2\" >0.97</td>\n",
+ " <td id=\"T_e2aa9_row2_col3\" class=\"data row2 col3\" >0.07</td>\n",
+ " <td id=\"T_e2aa9_row2_col4\" class=\"data row2 col4\" >61.70</td>\n",
+ " <td id=\"T_e2aa9_row2_col5\" class=\"data row2 col5\" >3.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_e2aa9_row3_col0\" class=\"data row3 col0\" >75.31</td>\n",
+ " <td id=\"T_e2aa9_row3_col1\" class=\"data row3 col1\" >4.57</td>\n",
+ " <td id=\"T_e2aa9_row3_col2\" class=\"data row3 col2\" >1.36</td>\n",
+ " <td id=\"T_e2aa9_row3_col3\" class=\"data row3 col3\" >0.08</td>\n",
+ " <td id=\"T_e2aa9_row3_col4\" class=\"data row3 col4\" >45.26</td>\n",
+ " <td id=\"T_e2aa9_row3_col5\" class=\"data row3 col5\" >3.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_e2aa9_row4_col0\" class=\"data row4 col0\" >62.07</td>\n",
+ " <td id=\"T_e2aa9_row4_col1\" class=\"data row4 col1\" >4.68</td>\n",
+ " <td id=\"T_e2aa9_row4_col2\" class=\"data row4 col2\" >1.12</td>\n",
+ " <td id=\"T_e2aa9_row4_col3\" class=\"data row4 col3\" >0.08</td>\n",
+ " <td id=\"T_e2aa9_row4_col4\" class=\"data row4 col4\" >54.93</td>\n",
+ " <td id=\"T_e2aa9_row4_col5\" class=\"data row4 col5\" >3.68</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_e2aa9_row5_col0\" class=\"data row5 col0\" >68.79</td>\n",
+ " <td id=\"T_e2aa9_row5_col1\" class=\"data row5 col1\" >3.64</td>\n",
+ " <td id=\"T_e2aa9_row5_col2\" class=\"data row5 col2\" >1.24</td>\n",
+ " <td id=\"T_e2aa9_row5_col3\" class=\"data row5 col3\" >0.07</td>\n",
+ " <td id=\"T_e2aa9_row5_col4\" class=\"data row5 col4\" >51.82</td>\n",
+ " <td id=\"T_e2aa9_row5_col5\" class=\"data row5 col5\" >3.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e2aa9_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_e2aa9_row6_col0\" class=\"data row6 col0\" >88.94</td>\n",
+ " <td id=\"T_e2aa9_row6_col1\" class=\"data row6 col1\" >3.34</td>\n",
+ " <td id=\"T_e2aa9_row6_col2\" class=\"data row6 col2\" >1.61</td>\n",
+ " <td id=\"T_e2aa9_row6_col3\" class=\"data row6 col3\" >0.06</td>\n",
+ " <td id=\"T_e2aa9_row6_col4\" class=\"data row6 col4\" >34.63</td>\n",
+ " <td id=\"T_e2aa9_row6_col5\" class=\"data row6 col5\" >3.14</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc22489fad0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_money_and_energy(\"medium\", tables_type=\"conso\", simplified=True)"
]
@@ -171,36 +1763,537 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 12,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.plot_graph(\"small\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 13,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_05b54 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_05b54 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_05b54_row0_col0 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row0_col2 {\n",
+ " background-color: #9df89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row1_col0 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row1_col2 {\n",
+ " background-color: #96f996;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row2_col0, #T_05b54_row2_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row3_col0 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row3_col2 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row4_col0 {\n",
+ " background-color: #a1f8a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row4_col2 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row5_col0 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row5_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_05b54_row6_col0, #T_05b54_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_05b54\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_05b54_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_05b54_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_05b54_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_05b54_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_05b54_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_05b54_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_05b54_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_05b54_row0_col0\" class=\"data row0 col0\" >84.84</td>\n",
+ " <td id=\"T_05b54_row0_col1\" class=\"data row0 col1\" >4.98</td>\n",
+ " <td id=\"T_05b54_row0_col2\" class=\"data row0 col2\" >79.09</td>\n",
+ " <td id=\"T_05b54_row0_col3\" class=\"data row0 col3\" >5.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_05b54_row1_col0\" class=\"data row1 col0\" >88.70</td>\n",
+ " <td id=\"T_05b54_row1_col1\" class=\"data row1 col1\" >4.05</td>\n",
+ " <td id=\"T_05b54_row1_col2\" class=\"data row1 col2\" >80.36</td>\n",
+ " <td id=\"T_05b54_row1_col3\" class=\"data row1 col3\" >5.25</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_05b54_row2_col0\" class=\"data row2 col0\" >70.81</td>\n",
+ " <td id=\"T_05b54_row2_col1\" class=\"data row2 col1\" >5.59</td>\n",
+ " <td id=\"T_05b54_row2_col2\" class=\"data row2 col2\" >64.64</td>\n",
+ " <td id=\"T_05b54_row2_col3\" class=\"data row2 col3\" >5.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_05b54_row3_col0\" class=\"data row3 col0\" >89.24</td>\n",
+ " <td id=\"T_05b54_row3_col1\" class=\"data row3 col1\" >4.16</td>\n",
+ " <td id=\"T_05b54_row3_col2\" class=\"data row3 col2\" >85.59</td>\n",
+ " <td id=\"T_05b54_row3_col3\" class=\"data row3 col3\" >5.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_05b54_row4_col0\" class=\"data row4 col0\" >81.94</td>\n",
+ " <td id=\"T_05b54_row4_col1\" class=\"data row4 col1\" >5.42</td>\n",
+ " <td id=\"T_05b54_row4_col2\" class=\"data row4 col2\" >75.59</td>\n",
+ " <td id=\"T_05b54_row4_col3\" class=\"data row4 col3\" >6.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_05b54_row5_col0\" class=\"data row5 col0\" >78.53</td>\n",
+ " <td id=\"T_05b54_row5_col1\" class=\"data row5 col1\" >5.03</td>\n",
+ " <td id=\"T_05b54_row5_col2\" class=\"data row5 col2\" >79.56</td>\n",
+ " <td id=\"T_05b54_row5_col3\" class=\"data row5 col3\" >4.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_05b54_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_05b54_row6_col0\" class=\"data row6 col0\" >98.46</td>\n",
+ " <td id=\"T_05b54_row6_col1\" class=\"data row6 col1\" >1.45</td>\n",
+ " <td id=\"T_05b54_row6_col2\" class=\"data row6 col2\" >98.50</td>\n",
+ " <td id=\"T_05b54_row6_col3\" class=\"data row6 col3\" >1.26</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc224a6db90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_bidded(\"small\", tables_type=\"conso\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 14,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_db479 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_db479 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_db479_row0_col0 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row0_col2 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row0_col4 {\n",
+ " background-color: #f97c7c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_db479_row1_col0 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row1_col2 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row1_col4 {\n",
+ " background-color: #fd2222;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_db479_row2_col0 {\n",
+ " background-color: #d2f5d2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row2_col2 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row2_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_db479_row3_col0 {\n",
+ " background-color: #54fd54;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row3_col2 {\n",
+ " background-color: #85fa85;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row3_col4 {\n",
+ " background-color: #f6afaf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row4_col0 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row4_col2, #T_db479_row5_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row4_col4 {\n",
+ " background-color: #ff0505;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_db479_row5_col2 {\n",
+ " background-color: #e0f4e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row5_col4 {\n",
+ " background-color: #f3e9e9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row6_col0, #T_db479_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_db479_row6_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_db479\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_db479_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_db479_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_db479_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_db479_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_db479_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_db479_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_db479_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_db479_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_db479_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_db479_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_db479_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_db479_row0_col0\" class=\"data row0 col0\" >95.86</td>\n",
+ " <td id=\"T_db479_row0_col1\" class=\"data row0 col1\" >2.28</td>\n",
+ " <td id=\"T_db479_row0_col2\" class=\"data row0 col2\" >98.23</td>\n",
+ " <td id=\"T_db479_row0_col3\" class=\"data row0 col3\" >1.75</td>\n",
+ " <td id=\"T_db479_row0_col4\" class=\"data row0 col4\" >1.21</td>\n",
+ " <td id=\"T_db479_row0_col5\" class=\"data row0 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_db479_row1_col0\" class=\"data row1 col0\" >95.56</td>\n",
+ " <td id=\"T_db479_row1_col1\" class=\"data row1 col1\" >2.30</td>\n",
+ " <td id=\"T_db479_row1_col2\" class=\"data row1 col2\" >98.34</td>\n",
+ " <td id=\"T_db479_row1_col3\" class=\"data row1 col3\" >1.66</td>\n",
+ " <td id=\"T_db479_row1_col4\" class=\"data row1 col4\" >1.28</td>\n",
+ " <td id=\"T_db479_row1_col5\" class=\"data row1 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_db479_row2_col0\" class=\"data row2 col0\" >90.99</td>\n",
+ " <td id=\"T_db479_row2_col1\" class=\"data row2 col1\" >3.20</td>\n",
+ " <td id=\"T_db479_row2_col2\" class=\"data row2 col2\" >97.36</td>\n",
+ " <td id=\"T_db479_row2_col3\" class=\"data row2 col3\" >2.56</td>\n",
+ " <td id=\"T_db479_row2_col4\" class=\"data row2 col4\" >1.30</td>\n",
+ " <td id=\"T_db479_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_db479_row3_col0\" class=\"data row3 col0\" >97.27</td>\n",
+ " <td id=\"T_db479_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
+ " <td id=\"T_db479_row3_col2\" class=\"data row3 col2\" >98.72</td>\n",
+ " <td id=\"T_db479_row3_col3\" class=\"data row3 col3\" >1.90</td>\n",
+ " <td id=\"T_db479_row3_col4\" class=\"data row3 col4\" >1.17</td>\n",
+ " <td id=\"T_db479_row3_col5\" class=\"data row3 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_db479_row4_col0\" class=\"data row4 col0\" >94.53</td>\n",
+ " <td id=\"T_db479_row4_col1\" class=\"data row4 col1\" >2.64</td>\n",
+ " <td id=\"T_db479_row4_col2\" class=\"data row4 col2\" >97.24</td>\n",
+ " <td id=\"T_db479_row4_col3\" class=\"data row4 col3\" >2.94</td>\n",
+ " <td id=\"T_db479_row4_col4\" class=\"data row4 col4\" >1.30</td>\n",
+ " <td id=\"T_db479_row4_col5\" class=\"data row4 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_db479_row5_col0\" class=\"data row5 col0\" >89.77</td>\n",
+ " <td id=\"T_db479_row5_col1\" class=\"data row5 col1\" >3.76</td>\n",
+ " <td id=\"T_db479_row5_col2\" class=\"data row5 col2\" >97.40</td>\n",
+ " <td id=\"T_db479_row5_col3\" class=\"data row5 col3\" >2.82</td>\n",
+ " <td id=\"T_db479_row5_col4\" class=\"data row5 col4\" >1.13</td>\n",
+ " <td id=\"T_db479_row5_col5\" class=\"data row5 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db479_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_db479_row6_col0\" class=\"data row6 col0\" >98.91</td>\n",
+ " <td id=\"T_db479_row6_col1\" class=\"data row6 col1\" >0.95</td>\n",
+ " <td id=\"T_db479_row6_col2\" class=\"data row6 col2\" >99.89</td>\n",
+ " <td id=\"T_db479_row6_col3\" class=\"data row6 col3\" >0.46</td>\n",
+ " <td id=\"T_db479_row6_col4\" class=\"data row6 col4\" >1.12</td>\n",
+ " <td id=\"T_db479_row6_col5\" class=\"data row6 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc2249c8e10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_qos(\"small\", tables_type=\"conso\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 15,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_2f1ab td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_2f1ab th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_2f1ab_row0_col0, #T_2f1ab_row0_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row0_col4 {\n",
+ " background-color: #fa5e5e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_2f1ab_row1_col0, #T_2f1ab_row1_col2 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row1_col4 {\n",
+ " background-color: #f97474;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_2f1ab_row2_col0, #T_2f1ab_row2_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row2_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_2f1ab_row3_col0, #T_2f1ab_row3_col2 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row3_col4 {\n",
+ " background-color: #f89191;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row4_col0, #T_2f1ab_row4_col2 {\n",
+ " background-color: #abf7ab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row4_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_2f1ab_row5_col0, #T_2f1ab_row5_col2 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row5_col4 {\n",
+ " background-color: #fc3e3e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_2f1ab_row6_col0, #T_2f1ab_row6_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_2f1ab_row6_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_2f1ab\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_2f1ab_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_2f1ab_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_2f1ab_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_2f1ab_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_2f1ab_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_2f1ab_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_2f1ab_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_2f1ab_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_2f1ab_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row0\" class=\"row_heading level0 row0\" >Central.Equal</th>\n",
+ " <td id=\"T_2f1ab_row0_col0\" class=\"data row0 col0\" >38.28</td>\n",
+ " <td id=\"T_2f1ab_row0_col1\" class=\"data row0 col1\" >2.56</td>\n",
+ " <td id=\"T_2f1ab_row0_col2\" class=\"data row0 col2\" >0.69</td>\n",
+ " <td id=\"T_2f1ab_row0_col3\" class=\"data row0 col3\" >0.05</td>\n",
+ " <td id=\"T_2f1ab_row0_col4\" class=\"data row0 col4\" >72.41</td>\n",
+ " <td id=\"T_2f1ab_row0_col5\" class=\"data row0 col5\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row1\" class=\"row_heading level0 row1\" >Central.Real DC 0</th>\n",
+ " <td id=\"T_2f1ab_row1_col0\" class=\"data row1 col0\" >39.62</td>\n",
+ " <td id=\"T_2f1ab_row1_col1\" class=\"data row1 col1\" >2.48</td>\n",
+ " <td id=\"T_2f1ab_row1_col2\" class=\"data row1 col2\" >0.72</td>\n",
+ " <td id=\"T_2f1ab_row1_col3\" class=\"data row1 col3\" >0.04</td>\n",
+ " <td id=\"T_2f1ab_row1_col4\" class=\"data row1 col4\" >71.17</td>\n",
+ " <td id=\"T_2f1ab_row1_col5\" class=\"data row1 col5\" >2.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row2\" class=\"row_heading level0 row2\" >Central.Real DC 1</th>\n",
+ " <td id=\"T_2f1ab_row2_col0\" class=\"data row2 col0\" >30.98</td>\n",
+ " <td id=\"T_2f1ab_row2_col1\" class=\"data row2 col1\" >2.69</td>\n",
+ " <td id=\"T_2f1ab_row2_col2\" class=\"data row2 col2\" >0.56</td>\n",
+ " <td id=\"T_2f1ab_row2_col3\" class=\"data row2 col3\" >0.05</td>\n",
+ " <td id=\"T_2f1ab_row2_col4\" class=\"data row2 col4\" >77.69</td>\n",
+ " <td id=\"T_2f1ab_row2_col5\" class=\"data row2 col5\" >2.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row3\" class=\"row_heading level0 row3\" >Central.Real DC 2</th>\n",
+ " <td id=\"T_2f1ab_row3_col0\" class=\"data row3 col0\" >41.38</td>\n",
+ " <td id=\"T_2f1ab_row3_col1\" class=\"data row3 col1\" >2.80</td>\n",
+ " <td id=\"T_2f1ab_row3_col2\" class=\"data row3 col2\" >0.75</td>\n",
+ " <td id=\"T_2f1ab_row3_col3\" class=\"data row3 col3\" >0.05</td>\n",
+ " <td id=\"T_2f1ab_row3_col4\" class=\"data row3 col4\" >69.54</td>\n",
+ " <td id=\"T_2f1ab_row3_col5\" class=\"data row3 col5\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row4\" class=\"row_heading level0 row4\" >Central.Real DC 3</th>\n",
+ " <td id=\"T_2f1ab_row4_col0\" class=\"data row4 col0\" >36.58</td>\n",
+ " <td id=\"T_2f1ab_row4_col1\" class=\"data row4 col1\" >2.87</td>\n",
+ " <td id=\"T_2f1ab_row4_col2\" class=\"data row4 col2\" >0.66</td>\n",
+ " <td id=\"T_2f1ab_row4_col3\" class=\"data row4 col3\" >0.05</td>\n",
+ " <td id=\"T_2f1ab_row4_col4\" class=\"data row4 col4\" >73.01</td>\n",
+ " <td id=\"T_2f1ab_row4_col5\" class=\"data row4 col5\" >2.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row5\" class=\"row_heading level0 row5\" >Distrib.Equal</th>\n",
+ " <td id=\"T_2f1ab_row5_col0\" class=\"data row5 col0\" >35.76</td>\n",
+ " <td id=\"T_2f1ab_row5_col1\" class=\"data row5 col1\" >2.61</td>\n",
+ " <td id=\"T_2f1ab_row5_col2\" class=\"data row5 col2\" >0.65</td>\n",
+ " <td id=\"T_2f1ab_row5_col3\" class=\"data row5 col3\" >0.05</td>\n",
+ " <td id=\"T_2f1ab_row5_col4\" class=\"data row5 col4\" >74.21</td>\n",
+ " <td id=\"T_2f1ab_row5_col5\" class=\"data row5 col5\" >2.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2f1ab_level0_row6\" class=\"row_heading level0 row6\" >Distrib.Real</th>\n",
+ " <td id=\"T_2f1ab_row6_col0\" class=\"data row6 col0\" >47.02</td>\n",
+ " <td id=\"T_2f1ab_row6_col1\" class=\"data row6 col1\" >1.74</td>\n",
+ " <td id=\"T_2f1ab_row6_col2\" class=\"data row6 col2\" >0.85</td>\n",
+ " <td id=\"T_2f1ab_row6_col3\" class=\"data row6 col3\" >0.03</td>\n",
+ " <td id=\"T_2f1ab_row6_col4\" class=\"data row6 col4\" >64.20</td>\n",
+ " <td id=\"T_2f1ab_row6_col5\" class=\"data row6 col5\" >2.95</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7fc224a6b3d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_money_and_energy(\"small\", tables_type=\"conso\", simplified=True)"
]
diff --git a/Analysis/Section_7.3.1.ipynb b/Analysis/Section_7.3.1.ipynb
index 876858a9caf4de05703007b50acc8d0b32ee6cff..ec5d529e047f6ba8637117414c31dea1773ff323 100644
--- a/Analysis/Section_7.3.1.ipynb
+++ b/Analysis/Section_7.3.1.ipynb
@@ -15,6 +15,8 @@
"metadata": {},
"outputs": [],
"source": [
+ "import sys\n",
+ "sys.path.append(\"../\")\n",
"import numpy as np\n",
"from GenerateVisualisation.experiments_analysis import Analysis, Analysis_plots"
]
@@ -28,7 +30,7 @@
"analysis_list = []\n",
"seeds = range(3, 103)\n",
"\n",
- "base_folder = \"XPs/1_bell/\"\n",
+ "base_folder = \"../XPs/1_bell/\"\n",
"analysis = Analysis(base_folder=base_folder,\n",
" files=[\"/simple_aggre_0_\", \"/simple_aggre_25_\", \"/simple_aggre_50_\", \"/simple_aggre_75_\", \"/simple_aggre_100_\"],\n",
" names=[\"Cooperative\", \"25% aggre\", \"50% aggre\", \"75% aggre\", \"all aggre\"],\n",
@@ -48,451 +50,451 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_ecd50 td {\n",
+ "#T_5b51f td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ecd50 th {\n",
+ "#T_5b51f th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ecd50_row0_col4, #T_ecd50_row2_col6, #T_ecd50_row4_col0, #T_ecd50_row4_col10, #T_ecd50_row4_col12, #T_ecd50_row4_col14, #T_ecd50_row6_col8, #T_ecd50_row8_col2, #T_ecd50_row16_col4, #T_ecd50_row18_col6 {\n",
+ "#T_5b51f_row0_col4, #T_5b51f_row2_col6, #T_5b51f_row4_col0, #T_5b51f_row4_col10, #T_5b51f_row4_col12, #T_5b51f_row4_col14, #T_5b51f_row6_col8, #T_5b51f_row8_col2, #T_5b51f_row16_col4, #T_5b51f_row18_col6 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_ecd50\">\n",
+ "<table id=\"T_5b51f\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_ecd50_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_ecd50_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_ecd50_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_5b51f_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_5b51f_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_5b51f_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_ecd50_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_ecd50_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_ecd50_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_ecd50_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_ecd50_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_ecd50_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_ecd50_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_ecd50_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_5b51f_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_5b51f_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_5b51f_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_5b51f_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_5b51f_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_5b51f_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_5b51f_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_5b51f_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_ecd50_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_ecd50_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_ecd50_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_5b51f_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_5b51f_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_ecd50_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_ecd50_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_ecd50_row0_col0\" class=\"data row0 col0\" >17.41</td>\n",
- " <td id=\"T_ecd50_row0_col1\" class=\"data row0 col1\" >2.46</td>\n",
- " <td id=\"T_ecd50_row0_col2\" class=\"data row0 col2\" >18.09</td>\n",
- " <td id=\"T_ecd50_row0_col3\" class=\"data row0 col3\" >2.30</td>\n",
- " <td id=\"T_ecd50_row0_col4\" class=\"data row0 col4\" >89.08</td>\n",
- " <td id=\"T_ecd50_row0_col5\" class=\"data row0 col5\" >4.02</td>\n",
- " <td id=\"T_ecd50_row0_col6\" class=\"data row0 col6\" >97.21</td>\n",
- " <td id=\"T_ecd50_row0_col7\" class=\"data row0 col7\" >3.81</td>\n",
- " <td id=\"T_ecd50_row0_col8\" class=\"data row0 col8\" >1.34</td>\n",
- " <td id=\"T_ecd50_row0_col9\" class=\"data row0 col9\" >0.10</td>\n",
- " <td id=\"T_ecd50_row0_col10\" class=\"data row0 col10\" >23.87</td>\n",
- " <td id=\"T_ecd50_row0_col11\" class=\"data row0 col11\" >2.41</td>\n",
- " <td id=\"T_ecd50_row0_col12\" class=\"data row0 col12\" >32.99</td>\n",
- " <td id=\"T_ecd50_row0_col13\" class=\"data row0 col13\" >6.45</td>\n",
- " <td id=\"T_ecd50_row0_col14\" class=\"data row0 col14\" >1.73</td>\n",
- " <td id=\"T_ecd50_row0_col15\" class=\"data row0 col15\" >0.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_ecd50_row1_col0\" class=\"data row1 col0\" >18.13</td>\n",
- " <td id=\"T_ecd50_row1_col1\" class=\"data row1 col1\" >2.48</td>\n",
- " <td id=\"T_ecd50_row1_col2\" class=\"data row1 col2\" >17.75</td>\n",
- " <td id=\"T_ecd50_row1_col3\" class=\"data row1 col3\" >2.58</td>\n",
- " <td id=\"T_ecd50_row1_col4\" class=\"data row1 col4\" >88.27</td>\n",
- " <td id=\"T_ecd50_row1_col5\" class=\"data row1 col5\" >4.37</td>\n",
- " <td id=\"T_ecd50_row1_col6\" class=\"data row1 col6\" >97.19</td>\n",
- " <td id=\"T_ecd50_row1_col7\" class=\"data row1 col7\" >2.65</td>\n",
- " <td id=\"T_ecd50_row1_col8\" class=\"data row1 col8\" >1.33</td>\n",
- " <td id=\"T_ecd50_row1_col9\" class=\"data row1 col9\" >0.10</td>\n",
- " <td id=\"T_ecd50_row1_col10\" class=\"data row1 col10\" >24.06</td>\n",
- " <td id=\"T_ecd50_row1_col11\" class=\"data row1 col11\" >2.56</td>\n",
- " <td id=\"T_ecd50_row1_col12\" class=\"data row1 col12\" >32.26</td>\n",
- " <td id=\"T_ecd50_row1_col13\" class=\"data row1 col13\" >6.78</td>\n",
- " <td id=\"T_ecd50_row1_col14\" class=\"data row1 col14\" >1.74</td>\n",
- " <td id=\"T_ecd50_row1_col15\" class=\"data row1 col15\" >0.18</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_ecd50_row2_col0\" class=\"data row2 col0\" >18.13</td>\n",
- " <td id=\"T_ecd50_row2_col1\" class=\"data row2 col1\" >2.20</td>\n",
- " <td id=\"T_ecd50_row2_col2\" class=\"data row2 col2\" >17.90</td>\n",
- " <td id=\"T_ecd50_row2_col3\" class=\"data row2 col3\" >2.45</td>\n",
- " <td id=\"T_ecd50_row2_col4\" class=\"data row2 col4\" >87.72</td>\n",
- " <td id=\"T_ecd50_row2_col5\" class=\"data row2 col5\" >4.37</td>\n",
- " <td id=\"T_ecd50_row2_col6\" class=\"data row2 col6\" >97.54</td>\n",
- " <td id=\"T_ecd50_row2_col7\" class=\"data row2 col7\" >2.61</td>\n",
- " <td id=\"T_ecd50_row2_col8\" class=\"data row2 col8\" >1.34</td>\n",
- " <td id=\"T_ecd50_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
- " <td id=\"T_ecd50_row2_col10\" class=\"data row2 col10\" >24.17</td>\n",
- " <td id=\"T_ecd50_row2_col11\" class=\"data row2 col11\" >2.58</td>\n",
- " <td id=\"T_ecd50_row2_col12\" class=\"data row2 col12\" >32.63</td>\n",
- " <td id=\"T_ecd50_row2_col13\" class=\"data row2 col13\" >5.89</td>\n",
- " <td id=\"T_ecd50_row2_col14\" class=\"data row2 col14\" >1.75</td>\n",
- " <td id=\"T_ecd50_row2_col15\" class=\"data row2 col15\" >0.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_ecd50_row3_col0\" class=\"data row3 col0\" >18.18</td>\n",
- " <td id=\"T_ecd50_row3_col1\" class=\"data row3 col1\" >2.46</td>\n",
- " <td id=\"T_ecd50_row3_col2\" class=\"data row3 col2\" >18.27</td>\n",
- " <td id=\"T_ecd50_row3_col3\" class=\"data row3 col3\" >2.55</td>\n",
- " <td id=\"T_ecd50_row3_col4\" class=\"data row3 col4\" >88.03</td>\n",
- " <td id=\"T_ecd50_row3_col5\" class=\"data row3 col5\" >4.51</td>\n",
- " <td id=\"T_ecd50_row3_col6\" class=\"data row3 col6\" >96.46</td>\n",
- " <td id=\"T_ecd50_row3_col7\" class=\"data row3 col7\" >4.69</td>\n",
- " <td id=\"T_ecd50_row3_col8\" class=\"data row3 col8\" >1.34</td>\n",
- " <td id=\"T_ecd50_row3_col9\" class=\"data row3 col9\" >0.11</td>\n",
- " <td id=\"T_ecd50_row3_col10\" class=\"data row3 col10\" >24.69</td>\n",
- " <td id=\"T_ecd50_row3_col11\" class=\"data row3 col11\" >2.52</td>\n",
- " <td id=\"T_ecd50_row3_col12\" class=\"data row3 col12\" >33.02</td>\n",
- " <td id=\"T_ecd50_row3_col13\" class=\"data row3 col13\" >6.50</td>\n",
- " <td id=\"T_ecd50_row3_col14\" class=\"data row3 col14\" >1.79</td>\n",
- " <td id=\"T_ecd50_row3_col15\" class=\"data row3 col15\" >0.18</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
- " <th id=\"T_ecd50_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_ecd50_row4_col0\" class=\"data row4 col0\" >33.39</td>\n",
- " <td id=\"T_ecd50_row4_col1\" class=\"data row4 col1\" >3.80</td>\n",
- " <td id=\"T_ecd50_row4_col2\" class=\"data row4 col2\" >20.72</td>\n",
- " <td id=\"T_ecd50_row4_col3\" class=\"data row4 col3\" >3.05</td>\n",
- " <td id=\"T_ecd50_row4_col4\" class=\"data row4 col4\" >81.71</td>\n",
- " <td id=\"T_ecd50_row4_col5\" class=\"data row4 col5\" >5.42</td>\n",
- " <td id=\"T_ecd50_row4_col6\" class=\"data row4 col6\" >91.08</td>\n",
- " <td id=\"T_ecd50_row4_col7\" class=\"data row4 col7\" >5.06</td>\n",
- " <td id=\"T_ecd50_row4_col8\" class=\"data row4 col8\" >2.16</td>\n",
- " <td id=\"T_ecd50_row4_col9\" class=\"data row4 col9\" >0.12</td>\n",
- " <td id=\"T_ecd50_row4_col10\" class=\"data row4 col10\" >35.81</td>\n",
- " <td id=\"T_ecd50_row4_col11\" class=\"data row4 col11\" >4.25</td>\n",
- " <td id=\"T_ecd50_row4_col12\" class=\"data row4 col12\" >1.31</td>\n",
- " <td id=\"T_ecd50_row4_col13\" class=\"data row4 col13\" >0.83</td>\n",
- " <td id=\"T_ecd50_row4_col14\" class=\"data row4 col14\" >2.59</td>\n",
- " <td id=\"T_ecd50_row4_col15\" class=\"data row4 col15\" >0.31</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_ecd50_row5_col0\" class=\"data row5 col0\" >13.08</td>\n",
- " <td id=\"T_ecd50_row5_col1\" class=\"data row5 col1\" >2.45</td>\n",
- " <td id=\"T_ecd50_row5_col2\" class=\"data row5 col2\" >17.14</td>\n",
- " <td id=\"T_ecd50_row5_col3\" class=\"data row5 col3\" >2.70</td>\n",
- " <td id=\"T_ecd50_row5_col4\" class=\"data row5 col4\" >86.90</td>\n",
- " <td id=\"T_ecd50_row5_col5\" class=\"data row5 col5\" >4.50</td>\n",
- " <td id=\"T_ecd50_row5_col6\" class=\"data row5 col6\" >96.88</td>\n",
- " <td id=\"T_ecd50_row5_col7\" class=\"data row5 col7\" >3.61</td>\n",
- " <td id=\"T_ecd50_row5_col8\" class=\"data row5 col8\" >1.32</td>\n",
- " <td id=\"T_ecd50_row5_col9\" class=\"data row5 col9\" >0.12</td>\n",
- " <td id=\"T_ecd50_row5_col10\" class=\"data row5 col10\" >19.06</td>\n",
- " <td id=\"T_ecd50_row5_col11\" class=\"data row5 col11\" >2.99</td>\n",
- " <td id=\"T_ecd50_row5_col12\" class=\"data row5 col12\" >43.88</td>\n",
- " <td id=\"T_ecd50_row5_col13\" class=\"data row5 col13\" >6.68</td>\n",
- " <td id=\"T_ecd50_row5_col14\" class=\"data row5 col14\" >1.38</td>\n",
- " <td id=\"T_ecd50_row5_col15\" class=\"data row5 col15\" >0.22</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_ecd50_row6_col0\" class=\"data row6 col0\" >12.51</td>\n",
- " <td id=\"T_ecd50_row6_col1\" class=\"data row6 col1\" >1.96</td>\n",
- " <td id=\"T_ecd50_row6_col2\" class=\"data row6 col2\" >17.45</td>\n",
- " <td id=\"T_ecd50_row6_col3\" class=\"data row6 col3\" >2.34</td>\n",
- " <td id=\"T_ecd50_row6_col4\" class=\"data row6 col4\" >87.02</td>\n",
- " <td id=\"T_ecd50_row6_col5\" class=\"data row6 col5\" >4.47</td>\n",
- " <td id=\"T_ecd50_row6_col6\" class=\"data row6 col6\" >96.04</td>\n",
- " <td id=\"T_ecd50_row6_col7\" class=\"data row6 col7\" >4.53</td>\n",
- " <td id=\"T_ecd50_row6_col8\" class=\"data row6 col8\" >1.32</td>\n",
- " <td id=\"T_ecd50_row6_col9\" class=\"data row6 col9\" >0.11</td>\n",
- " <td id=\"T_ecd50_row6_col10\" class=\"data row6 col10\" >18.78</td>\n",
- " <td id=\"T_ecd50_row6_col11\" class=\"data row6 col11\" >2.25</td>\n",
- " <td id=\"T_ecd50_row6_col12\" class=\"data row6 col12\" >45.31</td>\n",
- " <td id=\"T_ecd50_row6_col13\" class=\"data row6 col13\" >6.74</td>\n",
- " <td id=\"T_ecd50_row6_col14\" class=\"data row6 col14\" >1.36</td>\n",
- " <td id=\"T_ecd50_row6_col15\" class=\"data row6 col15\" >0.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_ecd50_row7_col0\" class=\"data row7 col0\" >12.94</td>\n",
- " <td id=\"T_ecd50_row7_col1\" class=\"data row7 col1\" >2.07</td>\n",
- " <td id=\"T_ecd50_row7_col2\" class=\"data row7 col2\" >17.08</td>\n",
- " <td id=\"T_ecd50_row7_col3\" class=\"data row7 col3\" >2.36</td>\n",
- " <td id=\"T_ecd50_row7_col4\" class=\"data row7 col4\" >86.54</td>\n",
- " <td id=\"T_ecd50_row7_col5\" class=\"data row7 col5\" >4.54</td>\n",
- " <td id=\"T_ecd50_row7_col6\" class=\"data row7 col6\" >95.86</td>\n",
- " <td id=\"T_ecd50_row7_col7\" class=\"data row7 col7\" >4.25</td>\n",
- " <td id=\"T_ecd50_row7_col8\" class=\"data row7 col8\" >1.33</td>\n",
- " <td id=\"T_ecd50_row7_col9\" class=\"data row7 col9\" >0.12</td>\n",
- " <td id=\"T_ecd50_row7_col10\" class=\"data row7 col10\" >18.81</td>\n",
- " <td id=\"T_ecd50_row7_col11\" class=\"data row7 col11\" >2.28</td>\n",
- " <td id=\"T_ecd50_row7_col12\" class=\"data row7 col12\" >44.49</td>\n",
- " <td id=\"T_ecd50_row7_col13\" class=\"data row7 col13\" >7.14</td>\n",
- " <td id=\"T_ecd50_row7_col14\" class=\"data row7 col14\" >1.36</td>\n",
- " <td id=\"T_ecd50_row7_col15\" class=\"data row7 col15\" >0.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
- " <th id=\"T_ecd50_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_ecd50_row8_col0\" class=\"data row8 col0\" >27.52</td>\n",
- " <td id=\"T_ecd50_row8_col1\" class=\"data row8 col1\" >2.87</td>\n",
- " <td id=\"T_ecd50_row8_col2\" class=\"data row8 col2\" >23.47</td>\n",
- " <td id=\"T_ecd50_row8_col3\" class=\"data row8 col3\" >3.08</td>\n",
- " <td id=\"T_ecd50_row8_col4\" class=\"data row8 col4\" >86.18</td>\n",
- " <td id=\"T_ecd50_row8_col5\" class=\"data row8 col5\" >3.58</td>\n",
- " <td id=\"T_ecd50_row8_col6\" class=\"data row8 col6\" >95.84</td>\n",
- " <td id=\"T_ecd50_row8_col7\" class=\"data row8 col7\" >4.06</td>\n",
- " <td id=\"T_ecd50_row8_col8\" class=\"data row8 col8\" >1.70</td>\n",
- " <td id=\"T_ecd50_row8_col9\" class=\"data row8 col9\" >0.11</td>\n",
- " <td id=\"T_ecd50_row8_col10\" class=\"data row8 col10\" >10.69</td>\n",
- " <td id=\"T_ecd50_row8_col11\" class=\"data row8 col11\" >2.84</td>\n",
- " <td id=\"T_ecd50_row8_col12\" class=\"data row8 col12\" >7.24</td>\n",
- " <td id=\"T_ecd50_row8_col13\" class=\"data row8 col13\" >3.46</td>\n",
- " <td id=\"T_ecd50_row8_col14\" class=\"data row8 col14\" >0.77</td>\n",
- " <td id=\"T_ecd50_row8_col15\" class=\"data row8 col15\" >0.21</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_ecd50_row9_col0\" class=\"data row9 col0\" >27.88</td>\n",
- " <td id=\"T_ecd50_row9_col1\" class=\"data row9 col1\" >2.82</td>\n",
- " <td id=\"T_ecd50_row9_col2\" class=\"data row9 col2\" >23.38</td>\n",
- " <td id=\"T_ecd50_row9_col3\" class=\"data row9 col3\" >3.33</td>\n",
- " <td id=\"T_ecd50_row9_col4\" class=\"data row9 col4\" >87.61</td>\n",
- " <td id=\"T_ecd50_row9_col5\" class=\"data row9 col5\" >3.55</td>\n",
- " <td id=\"T_ecd50_row9_col6\" class=\"data row9 col6\" >96.09</td>\n",
- " <td id=\"T_ecd50_row9_col7\" class=\"data row9 col7\" >3.57</td>\n",
- " <td id=\"T_ecd50_row9_col8\" class=\"data row9 col8\" >1.69</td>\n",
- " <td id=\"T_ecd50_row9_col9\" class=\"data row9 col9\" >0.11</td>\n",
- " <td id=\"T_ecd50_row9_col10\" class=\"data row9 col10\" >10.88</td>\n",
- " <td id=\"T_ecd50_row9_col11\" class=\"data row9 col11\" >2.69</td>\n",
- " <td id=\"T_ecd50_row9_col12\" class=\"data row9 col12\" >6.96</td>\n",
- " <td id=\"T_ecd50_row9_col13\" class=\"data row9 col13\" >3.21</td>\n",
- " <td id=\"T_ecd50_row9_col14\" class=\"data row9 col14\" >0.79</td>\n",
- " <td id=\"T_ecd50_row9_col15\" class=\"data row9 col15\" >0.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_ecd50_row10_col0\" class=\"data row10 col0\" >8.11</td>\n",
- " <td id=\"T_ecd50_row10_col1\" class=\"data row10 col1\" >1.73</td>\n",
- " <td id=\"T_ecd50_row10_col2\" class=\"data row10 col2\" >12.50</td>\n",
- " <td id=\"T_ecd50_row10_col3\" class=\"data row10 col3\" >2.61</td>\n",
- " <td id=\"T_ecd50_row10_col4\" class=\"data row10 col4\" >83.85</td>\n",
- " <td id=\"T_ecd50_row10_col5\" class=\"data row10 col5\" >5.68</td>\n",
- " <td id=\"T_ecd50_row10_col6\" class=\"data row10 col6\" >94.77</td>\n",
- " <td id=\"T_ecd50_row10_col7\" class=\"data row10 col7\" >6.36</td>\n",
- " <td id=\"T_ecd50_row10_col8\" class=\"data row10 col8\" >1.37</td>\n",
- " <td id=\"T_ecd50_row10_col9\" class=\"data row10 col9\" >0.15</td>\n",
- " <td id=\"T_ecd50_row10_col10\" class=\"data row10 col10\" >12.09</td>\n",
- " <td id=\"T_ecd50_row10_col11\" class=\"data row10 col11\" >2.58</td>\n",
- " <td id=\"T_ecd50_row10_col12\" class=\"data row10 col12\" >60.73</td>\n",
- " <td id=\"T_ecd50_row10_col13\" class=\"data row10 col13\" >7.95</td>\n",
- " <td id=\"T_ecd50_row10_col14\" class=\"data row10 col14\" >0.87</td>\n",
- " <td id=\"T_ecd50_row10_col15\" class=\"data row10 col15\" >0.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_ecd50_row11_col0\" class=\"data row11 col0\" >8.29</td>\n",
- " <td id=\"T_ecd50_row11_col1\" class=\"data row11 col1\" >1.78</td>\n",
- " <td id=\"T_ecd50_row11_col2\" class=\"data row11 col2\" >13.00</td>\n",
- " <td id=\"T_ecd50_row11_col3\" class=\"data row11 col3\" >2.21</td>\n",
- " <td id=\"T_ecd50_row11_col4\" class=\"data row11 col4\" >82.89</td>\n",
- " <td id=\"T_ecd50_row11_col5\" class=\"data row11 col5\" >6.31</td>\n",
- " <td id=\"T_ecd50_row11_col6\" class=\"data row11 col6\" >93.42</td>\n",
- " <td id=\"T_ecd50_row11_col7\" class=\"data row11 col7\" >8.09</td>\n",
- " <td id=\"T_ecd50_row11_col8\" class=\"data row11 col8\" >1.38</td>\n",
- " <td id=\"T_ecd50_row11_col9\" class=\"data row11 col9\" >0.14</td>\n",
- " <td id=\"T_ecd50_row11_col10\" class=\"data row11 col10\" >12.36</td>\n",
- " <td id=\"T_ecd50_row11_col11\" class=\"data row11 col11\" >2.36</td>\n",
- " <td id=\"T_ecd50_row11_col12\" class=\"data row11 col12\" >60.80</td>\n",
- " <td id=\"T_ecd50_row11_col13\" class=\"data row11 col13\" >6.61</td>\n",
- " <td id=\"T_ecd50_row11_col14\" class=\"data row11 col14\" >0.89</td>\n",
- " <td id=\"T_ecd50_row11_col15\" class=\"data row11 col15\" >0.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
- " <th id=\"T_ecd50_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_ecd50_row12_col0\" class=\"data row12 col0\" >22.23</td>\n",
- " <td id=\"T_ecd50_row12_col1\" class=\"data row12 col1\" >2.35</td>\n",
- " <td id=\"T_ecd50_row12_col2\" class=\"data row12 col2\" >21.19</td>\n",
- " <td id=\"T_ecd50_row12_col3\" class=\"data row12 col3\" >2.57</td>\n",
- " <td id=\"T_ecd50_row12_col4\" class=\"data row12 col4\" >88.44</td>\n",
- " <td id=\"T_ecd50_row12_col5\" class=\"data row12 col5\" >3.55</td>\n",
- " <td id=\"T_ecd50_row12_col6\" class=\"data row12 col6\" >97.22</td>\n",
- " <td id=\"T_ecd50_row12_col7\" class=\"data row12 col7\" >3.00</td>\n",
- " <td id=\"T_ecd50_row12_col8\" class=\"data row12 col8\" >1.43</td>\n",
- " <td id=\"T_ecd50_row12_col9\" class=\"data row12 col9\" >0.09</td>\n",
- " <td id=\"T_ecd50_row12_col10\" class=\"data row12 col10\" >4.01</td>\n",
- " <td id=\"T_ecd50_row12_col11\" class=\"data row12 col11\" >1.41</td>\n",
- " <td id=\"T_ecd50_row12_col12\" class=\"data row12 col12\" >19.82</td>\n",
- " <td id=\"T_ecd50_row12_col13\" class=\"data row12 col13\" >5.60</td>\n",
- " <td id=\"T_ecd50_row12_col14\" class=\"data row12 col14\" >0.29</td>\n",
- " <td id=\"T_ecd50_row12_col15\" class=\"data row12 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_ecd50_row13_col0\" class=\"data row13 col0\" >22.58</td>\n",
- " <td id=\"T_ecd50_row13_col1\" class=\"data row13 col1\" >2.44</td>\n",
- " <td id=\"T_ecd50_row13_col2\" class=\"data row13 col2\" >21.24</td>\n",
- " <td id=\"T_ecd50_row13_col3\" class=\"data row13 col3\" >2.74</td>\n",
- " <td id=\"T_ecd50_row13_col4\" class=\"data row13 col4\" >88.45</td>\n",
- " <td id=\"T_ecd50_row13_col5\" class=\"data row13 col5\" >3.58</td>\n",
- " <td id=\"T_ecd50_row13_col6\" class=\"data row13 col6\" >96.92</td>\n",
- " <td id=\"T_ecd50_row13_col7\" class=\"data row13 col7\" >2.91</td>\n",
- " <td id=\"T_ecd50_row13_col8\" class=\"data row13 col8\" >1.47</td>\n",
- " <td id=\"T_ecd50_row13_col9\" class=\"data row13 col9\" >0.11</td>\n",
- " <td id=\"T_ecd50_row13_col10\" class=\"data row13 col10\" >4.16</td>\n",
- " <td id=\"T_ecd50_row13_col11\" class=\"data row13 col11\" >1.38</td>\n",
- " <td id=\"T_ecd50_row13_col12\" class=\"data row13 col12\" >19.35</td>\n",
- " <td id=\"T_ecd50_row13_col13\" class=\"data row13 col13\" >5.32</td>\n",
- " <td id=\"T_ecd50_row13_col14\" class=\"data row13 col14\" >0.30</td>\n",
- " <td id=\"T_ecd50_row13_col15\" class=\"data row13 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_ecd50_row14_col0\" class=\"data row14 col0\" >21.70</td>\n",
- " <td id=\"T_ecd50_row14_col1\" class=\"data row14 col1\" >2.51</td>\n",
- " <td id=\"T_ecd50_row14_col2\" class=\"data row14 col2\" >20.82</td>\n",
- " <td id=\"T_ecd50_row14_col3\" class=\"data row14 col3\" >2.45</td>\n",
- " <td id=\"T_ecd50_row14_col4\" class=\"data row14 col4\" >88.75</td>\n",
- " <td id=\"T_ecd50_row14_col5\" class=\"data row14 col5\" >3.72</td>\n",
- " <td id=\"T_ecd50_row14_col6\" class=\"data row14 col6\" >96.75</td>\n",
- " <td id=\"T_ecd50_row14_col7\" class=\"data row14 col7\" >3.33</td>\n",
- " <td id=\"T_ecd50_row14_col8\" class=\"data row14 col8\" >1.45</td>\n",
- " <td id=\"T_ecd50_row14_col9\" class=\"data row14 col9\" >0.12</td>\n",
- " <td id=\"T_ecd50_row14_col10\" class=\"data row14 col10\" >4.08</td>\n",
- " <td id=\"T_ecd50_row14_col11\" class=\"data row14 col11\" >1.47</td>\n",
- " <td id=\"T_ecd50_row14_col12\" class=\"data row14 col12\" >20.69</td>\n",
- " <td id=\"T_ecd50_row14_col13\" class=\"data row14 col13\" >5.96</td>\n",
- " <td id=\"T_ecd50_row14_col14\" class=\"data row14 col14\" >0.30</td>\n",
- " <td id=\"T_ecd50_row14_col15\" class=\"data row14 col15\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_ecd50_row15_col0\" class=\"data row15 col0\" >5.30</td>\n",
- " <td id=\"T_ecd50_row15_col1\" class=\"data row15 col1\" >1.30</td>\n",
- " <td id=\"T_ecd50_row15_col2\" class=\"data row15 col2\" >8.85</td>\n",
- " <td id=\"T_ecd50_row15_col3\" class=\"data row15 col3\" >1.91</td>\n",
- " <td id=\"T_ecd50_row15_col4\" class=\"data row15 col4\" >78.16</td>\n",
- " <td id=\"T_ecd50_row15_col5\" class=\"data row15 col5\" >7.58</td>\n",
- " <td id=\"T_ecd50_row15_col6\" class=\"data row15 col6\" >93.38</td>\n",
- " <td id=\"T_ecd50_row15_col7\" class=\"data row15 col7\" >8.05</td>\n",
- " <td id=\"T_ecd50_row15_col8\" class=\"data row15 col8\" >1.45</td>\n",
- " <td id=\"T_ecd50_row15_col9\" class=\"data row15 col9\" >0.23</td>\n",
- " <td id=\"T_ecd50_row15_col10\" class=\"data row15 col10\" >7.60</td>\n",
- " <td id=\"T_ecd50_row15_col11\" class=\"data row15 col11\" >1.74</td>\n",
- " <td id=\"T_ecd50_row15_col12\" class=\"data row15 col12\" >72.80</td>\n",
- " <td id=\"T_ecd50_row15_col13\" class=\"data row15 col13\" >6.51</td>\n",
- " <td id=\"T_ecd50_row15_col14\" class=\"data row15 col14\" >0.55</td>\n",
- " <td id=\"T_ecd50_row15_col15\" class=\"data row15 col15\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
- " <th id=\"T_ecd50_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_ecd50_row16_col0\" class=\"data row16 col0\" >17.41</td>\n",
- " <td id=\"T_ecd50_row16_col1\" class=\"data row16 col1\" >2.46</td>\n",
- " <td id=\"T_ecd50_row16_col2\" class=\"data row16 col2\" >18.09</td>\n",
- " <td id=\"T_ecd50_row16_col3\" class=\"data row16 col3\" >2.30</td>\n",
- " <td id=\"T_ecd50_row16_col4\" class=\"data row16 col4\" >89.08</td>\n",
- " <td id=\"T_ecd50_row16_col5\" class=\"data row16 col5\" >4.02</td>\n",
- " <td id=\"T_ecd50_row16_col6\" class=\"data row16 col6\" >97.21</td>\n",
- " <td id=\"T_ecd50_row16_col7\" class=\"data row16 col7\" >3.81</td>\n",
- " <td id=\"T_ecd50_row16_col8\" class=\"data row16 col8\" >1.34</td>\n",
- " <td id=\"T_ecd50_row16_col9\" class=\"data row16 col9\" >0.10</td>\n",
- " <td id=\"T_ecd50_row16_col10\" class=\"data row16 col10\" >1.95</td>\n",
- " <td id=\"T_ecd50_row16_col11\" class=\"data row16 col11\" >0.87</td>\n",
- " <td id=\"T_ecd50_row16_col12\" class=\"data row16 col12\" >32.99</td>\n",
- " <td id=\"T_ecd50_row16_col13\" class=\"data row16 col13\" >6.45</td>\n",
- " <td id=\"T_ecd50_row16_col14\" class=\"data row16 col14\" >0.14</td>\n",
- " <td id=\"T_ecd50_row16_col15\" class=\"data row16 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_ecd50_row17_col0\" class=\"data row17 col0\" >18.13</td>\n",
- " <td id=\"T_ecd50_row17_col1\" class=\"data row17 col1\" >2.48</td>\n",
- " <td id=\"T_ecd50_row17_col2\" class=\"data row17 col2\" >17.75</td>\n",
- " <td id=\"T_ecd50_row17_col3\" class=\"data row17 col3\" >2.58</td>\n",
- " <td id=\"T_ecd50_row17_col4\" class=\"data row17 col4\" >88.27</td>\n",
- " <td id=\"T_ecd50_row17_col5\" class=\"data row17 col5\" >4.37</td>\n",
- " <td id=\"T_ecd50_row17_col6\" class=\"data row17 col6\" >97.19</td>\n",
- " <td id=\"T_ecd50_row17_col7\" class=\"data row17 col7\" >2.65</td>\n",
- " <td id=\"T_ecd50_row17_col8\" class=\"data row17 col8\" >1.33</td>\n",
- " <td id=\"T_ecd50_row17_col9\" class=\"data row17 col9\" >0.10</td>\n",
- " <td id=\"T_ecd50_row17_col10\" class=\"data row17 col10\" >1.81</td>\n",
- " <td id=\"T_ecd50_row17_col11\" class=\"data row17 col11\" >0.78</td>\n",
- " <td id=\"T_ecd50_row17_col12\" class=\"data row17 col12\" >32.26</td>\n",
- " <td id=\"T_ecd50_row17_col13\" class=\"data row17 col13\" >6.78</td>\n",
- " <td id=\"T_ecd50_row17_col14\" class=\"data row17 col14\" >0.13</td>\n",
- " <td id=\"T_ecd50_row17_col15\" class=\"data row17 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_ecd50_row18_col0\" class=\"data row18 col0\" >18.13</td>\n",
- " <td id=\"T_ecd50_row18_col1\" class=\"data row18 col1\" >2.20</td>\n",
- " <td id=\"T_ecd50_row18_col2\" class=\"data row18 col2\" >17.90</td>\n",
- " <td id=\"T_ecd50_row18_col3\" class=\"data row18 col3\" >2.45</td>\n",
- " <td id=\"T_ecd50_row18_col4\" class=\"data row18 col4\" >87.72</td>\n",
- " <td id=\"T_ecd50_row18_col5\" class=\"data row18 col5\" >4.37</td>\n",
- " <td id=\"T_ecd50_row18_col6\" class=\"data row18 col6\" >97.54</td>\n",
- " <td id=\"T_ecd50_row18_col7\" class=\"data row18 col7\" >2.61</td>\n",
- " <td id=\"T_ecd50_row18_col8\" class=\"data row18 col8\" >1.34</td>\n",
- " <td id=\"T_ecd50_row18_col9\" class=\"data row18 col9\" >0.10</td>\n",
- " <td id=\"T_ecd50_row18_col10\" class=\"data row18 col10\" >1.88</td>\n",
- " <td id=\"T_ecd50_row18_col11\" class=\"data row18 col11\" >0.79</td>\n",
- " <td id=\"T_ecd50_row18_col12\" class=\"data row18 col12\" >32.63</td>\n",
- " <td id=\"T_ecd50_row18_col13\" class=\"data row18 col13\" >5.89</td>\n",
- " <td id=\"T_ecd50_row18_col14\" class=\"data row18 col14\" >0.14</td>\n",
- " <td id=\"T_ecd50_row18_col15\" class=\"data row18 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ecd50_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_ecd50_row19_col0\" class=\"data row19 col0\" >18.18</td>\n",
- " <td id=\"T_ecd50_row19_col1\" class=\"data row19 col1\" >2.46</td>\n",
- " <td id=\"T_ecd50_row19_col2\" class=\"data row19 col2\" >18.27</td>\n",
- " <td id=\"T_ecd50_row19_col3\" class=\"data row19 col3\" >2.55</td>\n",
- " <td id=\"T_ecd50_row19_col4\" class=\"data row19 col4\" >88.03</td>\n",
- " <td id=\"T_ecd50_row19_col5\" class=\"data row19 col5\" >4.51</td>\n",
- " <td id=\"T_ecd50_row19_col6\" class=\"data row19 col6\" >96.46</td>\n",
- " <td id=\"T_ecd50_row19_col7\" class=\"data row19 col7\" >4.69</td>\n",
- " <td id=\"T_ecd50_row19_col8\" class=\"data row19 col8\" >1.34</td>\n",
- " <td id=\"T_ecd50_row19_col9\" class=\"data row19 col9\" >0.11</td>\n",
- " <td id=\"T_ecd50_row19_col10\" class=\"data row19 col10\" >2.00</td>\n",
- " <td id=\"T_ecd50_row19_col11\" class=\"data row19 col11\" >0.87</td>\n",
- " <td id=\"T_ecd50_row19_col12\" class=\"data row19 col12\" >33.02</td>\n",
- " <td id=\"T_ecd50_row19_col13\" class=\"data row19 col13\" >6.50</td>\n",
- " <td id=\"T_ecd50_row19_col14\" class=\"data row19 col14\" >0.14</td>\n",
- " <td id=\"T_ecd50_row19_col15\" class=\"data row19 col15\" >0.06</td>\n",
+ " <th id=\"T_5b51f_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_5b51f_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_5b51f_row0_col0\" class=\"data row0 col0\" >17.41</td>\n",
+ " <td id=\"T_5b51f_row0_col1\" class=\"data row0 col1\" >2.46</td>\n",
+ " <td id=\"T_5b51f_row0_col2\" class=\"data row0 col2\" >18.09</td>\n",
+ " <td id=\"T_5b51f_row0_col3\" class=\"data row0 col3\" >2.30</td>\n",
+ " <td id=\"T_5b51f_row0_col4\" class=\"data row0 col4\" >89.08</td>\n",
+ " <td id=\"T_5b51f_row0_col5\" class=\"data row0 col5\" >4.02</td>\n",
+ " <td id=\"T_5b51f_row0_col6\" class=\"data row0 col6\" >97.21</td>\n",
+ " <td id=\"T_5b51f_row0_col7\" class=\"data row0 col7\" >3.81</td>\n",
+ " <td id=\"T_5b51f_row0_col8\" class=\"data row0 col8\" >1.34</td>\n",
+ " <td id=\"T_5b51f_row0_col9\" class=\"data row0 col9\" >0.10</td>\n",
+ " <td id=\"T_5b51f_row0_col10\" class=\"data row0 col10\" >23.87</td>\n",
+ " <td id=\"T_5b51f_row0_col11\" class=\"data row0 col11\" >2.41</td>\n",
+ " <td id=\"T_5b51f_row0_col12\" class=\"data row0 col12\" >32.99</td>\n",
+ " <td id=\"T_5b51f_row0_col13\" class=\"data row0 col13\" >6.45</td>\n",
+ " <td id=\"T_5b51f_row0_col14\" class=\"data row0 col14\" >1.73</td>\n",
+ " <td id=\"T_5b51f_row0_col15\" class=\"data row0 col15\" >0.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_5b51f_row1_col0\" class=\"data row1 col0\" >18.13</td>\n",
+ " <td id=\"T_5b51f_row1_col1\" class=\"data row1 col1\" >2.48</td>\n",
+ " <td id=\"T_5b51f_row1_col2\" class=\"data row1 col2\" >17.75</td>\n",
+ " <td id=\"T_5b51f_row1_col3\" class=\"data row1 col3\" >2.58</td>\n",
+ " <td id=\"T_5b51f_row1_col4\" class=\"data row1 col4\" >88.27</td>\n",
+ " <td id=\"T_5b51f_row1_col5\" class=\"data row1 col5\" >4.37</td>\n",
+ " <td id=\"T_5b51f_row1_col6\" class=\"data row1 col6\" >97.19</td>\n",
+ " <td id=\"T_5b51f_row1_col7\" class=\"data row1 col7\" >2.65</td>\n",
+ " <td id=\"T_5b51f_row1_col8\" class=\"data row1 col8\" >1.33</td>\n",
+ " <td id=\"T_5b51f_row1_col9\" class=\"data row1 col9\" >0.10</td>\n",
+ " <td id=\"T_5b51f_row1_col10\" class=\"data row1 col10\" >24.06</td>\n",
+ " <td id=\"T_5b51f_row1_col11\" class=\"data row1 col11\" >2.56</td>\n",
+ " <td id=\"T_5b51f_row1_col12\" class=\"data row1 col12\" >32.26</td>\n",
+ " <td id=\"T_5b51f_row1_col13\" class=\"data row1 col13\" >6.78</td>\n",
+ " <td id=\"T_5b51f_row1_col14\" class=\"data row1 col14\" >1.74</td>\n",
+ " <td id=\"T_5b51f_row1_col15\" class=\"data row1 col15\" >0.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_5b51f_row2_col0\" class=\"data row2 col0\" >18.13</td>\n",
+ " <td id=\"T_5b51f_row2_col1\" class=\"data row2 col1\" >2.20</td>\n",
+ " <td id=\"T_5b51f_row2_col2\" class=\"data row2 col2\" >17.90</td>\n",
+ " <td id=\"T_5b51f_row2_col3\" class=\"data row2 col3\" >2.45</td>\n",
+ " <td id=\"T_5b51f_row2_col4\" class=\"data row2 col4\" >87.72</td>\n",
+ " <td id=\"T_5b51f_row2_col5\" class=\"data row2 col5\" >4.37</td>\n",
+ " <td id=\"T_5b51f_row2_col6\" class=\"data row2 col6\" >97.54</td>\n",
+ " <td id=\"T_5b51f_row2_col7\" class=\"data row2 col7\" >2.61</td>\n",
+ " <td id=\"T_5b51f_row2_col8\" class=\"data row2 col8\" >1.34</td>\n",
+ " <td id=\"T_5b51f_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
+ " <td id=\"T_5b51f_row2_col10\" class=\"data row2 col10\" >24.17</td>\n",
+ " <td id=\"T_5b51f_row2_col11\" class=\"data row2 col11\" >2.58</td>\n",
+ " <td id=\"T_5b51f_row2_col12\" class=\"data row2 col12\" >32.63</td>\n",
+ " <td id=\"T_5b51f_row2_col13\" class=\"data row2 col13\" >5.89</td>\n",
+ " <td id=\"T_5b51f_row2_col14\" class=\"data row2 col14\" >1.75</td>\n",
+ " <td id=\"T_5b51f_row2_col15\" class=\"data row2 col15\" >0.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_5b51f_row3_col0\" class=\"data row3 col0\" >18.18</td>\n",
+ " <td id=\"T_5b51f_row3_col1\" class=\"data row3 col1\" >2.46</td>\n",
+ " <td id=\"T_5b51f_row3_col2\" class=\"data row3 col2\" >18.27</td>\n",
+ " <td id=\"T_5b51f_row3_col3\" class=\"data row3 col3\" >2.55</td>\n",
+ " <td id=\"T_5b51f_row3_col4\" class=\"data row3 col4\" >88.03</td>\n",
+ " <td id=\"T_5b51f_row3_col5\" class=\"data row3 col5\" >4.51</td>\n",
+ " <td id=\"T_5b51f_row3_col6\" class=\"data row3 col6\" >96.46</td>\n",
+ " <td id=\"T_5b51f_row3_col7\" class=\"data row3 col7\" >4.69</td>\n",
+ " <td id=\"T_5b51f_row3_col8\" class=\"data row3 col8\" >1.34</td>\n",
+ " <td id=\"T_5b51f_row3_col9\" class=\"data row3 col9\" >0.11</td>\n",
+ " <td id=\"T_5b51f_row3_col10\" class=\"data row3 col10\" >24.69</td>\n",
+ " <td id=\"T_5b51f_row3_col11\" class=\"data row3 col11\" >2.52</td>\n",
+ " <td id=\"T_5b51f_row3_col12\" class=\"data row3 col12\" >33.02</td>\n",
+ " <td id=\"T_5b51f_row3_col13\" class=\"data row3 col13\" >6.50</td>\n",
+ " <td id=\"T_5b51f_row3_col14\" class=\"data row3 col14\" >1.79</td>\n",
+ " <td id=\"T_5b51f_row3_col15\" class=\"data row3 col15\" >0.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_5b51f_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_5b51f_row4_col0\" class=\"data row4 col0\" >33.39</td>\n",
+ " <td id=\"T_5b51f_row4_col1\" class=\"data row4 col1\" >3.80</td>\n",
+ " <td id=\"T_5b51f_row4_col2\" class=\"data row4 col2\" >20.72</td>\n",
+ " <td id=\"T_5b51f_row4_col3\" class=\"data row4 col3\" >3.05</td>\n",
+ " <td id=\"T_5b51f_row4_col4\" class=\"data row4 col4\" >81.71</td>\n",
+ " <td id=\"T_5b51f_row4_col5\" class=\"data row4 col5\" >5.42</td>\n",
+ " <td id=\"T_5b51f_row4_col6\" class=\"data row4 col6\" >91.08</td>\n",
+ " <td id=\"T_5b51f_row4_col7\" class=\"data row4 col7\" >5.06</td>\n",
+ " <td id=\"T_5b51f_row4_col8\" class=\"data row4 col8\" >2.16</td>\n",
+ " <td id=\"T_5b51f_row4_col9\" class=\"data row4 col9\" >0.12</td>\n",
+ " <td id=\"T_5b51f_row4_col10\" class=\"data row4 col10\" >35.81</td>\n",
+ " <td id=\"T_5b51f_row4_col11\" class=\"data row4 col11\" >4.25</td>\n",
+ " <td id=\"T_5b51f_row4_col12\" class=\"data row4 col12\" >1.31</td>\n",
+ " <td id=\"T_5b51f_row4_col13\" class=\"data row4 col13\" >0.83</td>\n",
+ " <td id=\"T_5b51f_row4_col14\" class=\"data row4 col14\" >2.59</td>\n",
+ " <td id=\"T_5b51f_row4_col15\" class=\"data row4 col15\" >0.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_5b51f_row5_col0\" class=\"data row5 col0\" >13.08</td>\n",
+ " <td id=\"T_5b51f_row5_col1\" class=\"data row5 col1\" >2.45</td>\n",
+ " <td id=\"T_5b51f_row5_col2\" class=\"data row5 col2\" >17.14</td>\n",
+ " <td id=\"T_5b51f_row5_col3\" class=\"data row5 col3\" >2.70</td>\n",
+ " <td id=\"T_5b51f_row5_col4\" class=\"data row5 col4\" >86.90</td>\n",
+ " <td id=\"T_5b51f_row5_col5\" class=\"data row5 col5\" >4.50</td>\n",
+ " <td id=\"T_5b51f_row5_col6\" class=\"data row5 col6\" >96.88</td>\n",
+ " <td id=\"T_5b51f_row5_col7\" class=\"data row5 col7\" >3.61</td>\n",
+ " <td id=\"T_5b51f_row5_col8\" class=\"data row5 col8\" >1.32</td>\n",
+ " <td id=\"T_5b51f_row5_col9\" class=\"data row5 col9\" >0.12</td>\n",
+ " <td id=\"T_5b51f_row5_col10\" class=\"data row5 col10\" >19.06</td>\n",
+ " <td id=\"T_5b51f_row5_col11\" class=\"data row5 col11\" >2.99</td>\n",
+ " <td id=\"T_5b51f_row5_col12\" class=\"data row5 col12\" >43.88</td>\n",
+ " <td id=\"T_5b51f_row5_col13\" class=\"data row5 col13\" >6.68</td>\n",
+ " <td id=\"T_5b51f_row5_col14\" class=\"data row5 col14\" >1.38</td>\n",
+ " <td id=\"T_5b51f_row5_col15\" class=\"data row5 col15\" >0.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_5b51f_row6_col0\" class=\"data row6 col0\" >12.51</td>\n",
+ " <td id=\"T_5b51f_row6_col1\" class=\"data row6 col1\" >1.96</td>\n",
+ " <td id=\"T_5b51f_row6_col2\" class=\"data row6 col2\" >17.45</td>\n",
+ " <td id=\"T_5b51f_row6_col3\" class=\"data row6 col3\" >2.34</td>\n",
+ " <td id=\"T_5b51f_row6_col4\" class=\"data row6 col4\" >87.02</td>\n",
+ " <td id=\"T_5b51f_row6_col5\" class=\"data row6 col5\" >4.47</td>\n",
+ " <td id=\"T_5b51f_row6_col6\" class=\"data row6 col6\" >96.04</td>\n",
+ " <td id=\"T_5b51f_row6_col7\" class=\"data row6 col7\" >4.53</td>\n",
+ " <td id=\"T_5b51f_row6_col8\" class=\"data row6 col8\" >1.32</td>\n",
+ " <td id=\"T_5b51f_row6_col9\" class=\"data row6 col9\" >0.11</td>\n",
+ " <td id=\"T_5b51f_row6_col10\" class=\"data row6 col10\" >18.78</td>\n",
+ " <td id=\"T_5b51f_row6_col11\" class=\"data row6 col11\" >2.25</td>\n",
+ " <td id=\"T_5b51f_row6_col12\" class=\"data row6 col12\" >45.31</td>\n",
+ " <td id=\"T_5b51f_row6_col13\" class=\"data row6 col13\" >6.74</td>\n",
+ " <td id=\"T_5b51f_row6_col14\" class=\"data row6 col14\" >1.36</td>\n",
+ " <td id=\"T_5b51f_row6_col15\" class=\"data row6 col15\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_5b51f_row7_col0\" class=\"data row7 col0\" >12.94</td>\n",
+ " <td id=\"T_5b51f_row7_col1\" class=\"data row7 col1\" >2.07</td>\n",
+ " <td id=\"T_5b51f_row7_col2\" class=\"data row7 col2\" >17.08</td>\n",
+ " <td id=\"T_5b51f_row7_col3\" class=\"data row7 col3\" >2.36</td>\n",
+ " <td id=\"T_5b51f_row7_col4\" class=\"data row7 col4\" >86.54</td>\n",
+ " <td id=\"T_5b51f_row7_col5\" class=\"data row7 col5\" >4.54</td>\n",
+ " <td id=\"T_5b51f_row7_col6\" class=\"data row7 col6\" >95.86</td>\n",
+ " <td id=\"T_5b51f_row7_col7\" class=\"data row7 col7\" >4.25</td>\n",
+ " <td id=\"T_5b51f_row7_col8\" class=\"data row7 col8\" >1.33</td>\n",
+ " <td id=\"T_5b51f_row7_col9\" class=\"data row7 col9\" >0.12</td>\n",
+ " <td id=\"T_5b51f_row7_col10\" class=\"data row7 col10\" >18.81</td>\n",
+ " <td id=\"T_5b51f_row7_col11\" class=\"data row7 col11\" >2.28</td>\n",
+ " <td id=\"T_5b51f_row7_col12\" class=\"data row7 col12\" >44.49</td>\n",
+ " <td id=\"T_5b51f_row7_col13\" class=\"data row7 col13\" >7.14</td>\n",
+ " <td id=\"T_5b51f_row7_col14\" class=\"data row7 col14\" >1.36</td>\n",
+ " <td id=\"T_5b51f_row7_col15\" class=\"data row7 col15\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_5b51f_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_5b51f_row8_col0\" class=\"data row8 col0\" >27.52</td>\n",
+ " <td id=\"T_5b51f_row8_col1\" class=\"data row8 col1\" >2.87</td>\n",
+ " <td id=\"T_5b51f_row8_col2\" class=\"data row8 col2\" >23.47</td>\n",
+ " <td id=\"T_5b51f_row8_col3\" class=\"data row8 col3\" >3.08</td>\n",
+ " <td id=\"T_5b51f_row8_col4\" class=\"data row8 col4\" >86.18</td>\n",
+ " <td id=\"T_5b51f_row8_col5\" class=\"data row8 col5\" >3.58</td>\n",
+ " <td id=\"T_5b51f_row8_col6\" class=\"data row8 col6\" >95.84</td>\n",
+ " <td id=\"T_5b51f_row8_col7\" class=\"data row8 col7\" >4.06</td>\n",
+ " <td id=\"T_5b51f_row8_col8\" class=\"data row8 col8\" >1.70</td>\n",
+ " <td id=\"T_5b51f_row8_col9\" class=\"data row8 col9\" >0.11</td>\n",
+ " <td id=\"T_5b51f_row8_col10\" class=\"data row8 col10\" >10.69</td>\n",
+ " <td id=\"T_5b51f_row8_col11\" class=\"data row8 col11\" >2.84</td>\n",
+ " <td id=\"T_5b51f_row8_col12\" class=\"data row8 col12\" >7.24</td>\n",
+ " <td id=\"T_5b51f_row8_col13\" class=\"data row8 col13\" >3.46</td>\n",
+ " <td id=\"T_5b51f_row8_col14\" class=\"data row8 col14\" >0.77</td>\n",
+ " <td id=\"T_5b51f_row8_col15\" class=\"data row8 col15\" >0.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_5b51f_row9_col0\" class=\"data row9 col0\" >27.88</td>\n",
+ " <td id=\"T_5b51f_row9_col1\" class=\"data row9 col1\" >2.82</td>\n",
+ " <td id=\"T_5b51f_row9_col2\" class=\"data row9 col2\" >23.38</td>\n",
+ " <td id=\"T_5b51f_row9_col3\" class=\"data row9 col3\" >3.33</td>\n",
+ " <td id=\"T_5b51f_row9_col4\" class=\"data row9 col4\" >87.61</td>\n",
+ " <td id=\"T_5b51f_row9_col5\" class=\"data row9 col5\" >3.55</td>\n",
+ " <td id=\"T_5b51f_row9_col6\" class=\"data row9 col6\" >96.09</td>\n",
+ " <td id=\"T_5b51f_row9_col7\" class=\"data row9 col7\" >3.57</td>\n",
+ " <td id=\"T_5b51f_row9_col8\" class=\"data row9 col8\" >1.69</td>\n",
+ " <td id=\"T_5b51f_row9_col9\" class=\"data row9 col9\" >0.11</td>\n",
+ " <td id=\"T_5b51f_row9_col10\" class=\"data row9 col10\" >10.88</td>\n",
+ " <td id=\"T_5b51f_row9_col11\" class=\"data row9 col11\" >2.69</td>\n",
+ " <td id=\"T_5b51f_row9_col12\" class=\"data row9 col12\" >6.96</td>\n",
+ " <td id=\"T_5b51f_row9_col13\" class=\"data row9 col13\" >3.21</td>\n",
+ " <td id=\"T_5b51f_row9_col14\" class=\"data row9 col14\" >0.79</td>\n",
+ " <td id=\"T_5b51f_row9_col15\" class=\"data row9 col15\" >0.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_5b51f_row10_col0\" class=\"data row10 col0\" >8.11</td>\n",
+ " <td id=\"T_5b51f_row10_col1\" class=\"data row10 col1\" >1.73</td>\n",
+ " <td id=\"T_5b51f_row10_col2\" class=\"data row10 col2\" >12.50</td>\n",
+ " <td id=\"T_5b51f_row10_col3\" class=\"data row10 col3\" >2.61</td>\n",
+ " <td id=\"T_5b51f_row10_col4\" class=\"data row10 col4\" >83.85</td>\n",
+ " <td id=\"T_5b51f_row10_col5\" class=\"data row10 col5\" >5.68</td>\n",
+ " <td id=\"T_5b51f_row10_col6\" class=\"data row10 col6\" >94.77</td>\n",
+ " <td id=\"T_5b51f_row10_col7\" class=\"data row10 col7\" >6.36</td>\n",
+ " <td id=\"T_5b51f_row10_col8\" class=\"data row10 col8\" >1.37</td>\n",
+ " <td id=\"T_5b51f_row10_col9\" class=\"data row10 col9\" >0.15</td>\n",
+ " <td id=\"T_5b51f_row10_col10\" class=\"data row10 col10\" >12.09</td>\n",
+ " <td id=\"T_5b51f_row10_col11\" class=\"data row10 col11\" >2.58</td>\n",
+ " <td id=\"T_5b51f_row10_col12\" class=\"data row10 col12\" >60.73</td>\n",
+ " <td id=\"T_5b51f_row10_col13\" class=\"data row10 col13\" >7.95</td>\n",
+ " <td id=\"T_5b51f_row10_col14\" class=\"data row10 col14\" >0.87</td>\n",
+ " <td id=\"T_5b51f_row10_col15\" class=\"data row10 col15\" >0.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_5b51f_row11_col0\" class=\"data row11 col0\" >8.29</td>\n",
+ " <td id=\"T_5b51f_row11_col1\" class=\"data row11 col1\" >1.78</td>\n",
+ " <td id=\"T_5b51f_row11_col2\" class=\"data row11 col2\" >13.00</td>\n",
+ " <td id=\"T_5b51f_row11_col3\" class=\"data row11 col3\" >2.21</td>\n",
+ " <td id=\"T_5b51f_row11_col4\" class=\"data row11 col4\" >82.89</td>\n",
+ " <td id=\"T_5b51f_row11_col5\" class=\"data row11 col5\" >6.31</td>\n",
+ " <td id=\"T_5b51f_row11_col6\" class=\"data row11 col6\" >93.42</td>\n",
+ " <td id=\"T_5b51f_row11_col7\" class=\"data row11 col7\" >8.09</td>\n",
+ " <td id=\"T_5b51f_row11_col8\" class=\"data row11 col8\" >1.38</td>\n",
+ " <td id=\"T_5b51f_row11_col9\" class=\"data row11 col9\" >0.14</td>\n",
+ " <td id=\"T_5b51f_row11_col10\" class=\"data row11 col10\" >12.36</td>\n",
+ " <td id=\"T_5b51f_row11_col11\" class=\"data row11 col11\" >2.36</td>\n",
+ " <td id=\"T_5b51f_row11_col12\" class=\"data row11 col12\" >60.80</td>\n",
+ " <td id=\"T_5b51f_row11_col13\" class=\"data row11 col13\" >6.61</td>\n",
+ " <td id=\"T_5b51f_row11_col14\" class=\"data row11 col14\" >0.89</td>\n",
+ " <td id=\"T_5b51f_row11_col15\" class=\"data row11 col15\" >0.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_5b51f_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_5b51f_row12_col0\" class=\"data row12 col0\" >22.23</td>\n",
+ " <td id=\"T_5b51f_row12_col1\" class=\"data row12 col1\" >2.35</td>\n",
+ " <td id=\"T_5b51f_row12_col2\" class=\"data row12 col2\" >21.19</td>\n",
+ " <td id=\"T_5b51f_row12_col3\" class=\"data row12 col3\" >2.57</td>\n",
+ " <td id=\"T_5b51f_row12_col4\" class=\"data row12 col4\" >88.44</td>\n",
+ " <td id=\"T_5b51f_row12_col5\" class=\"data row12 col5\" >3.55</td>\n",
+ " <td id=\"T_5b51f_row12_col6\" class=\"data row12 col6\" >97.22</td>\n",
+ " <td id=\"T_5b51f_row12_col7\" class=\"data row12 col7\" >3.00</td>\n",
+ " <td id=\"T_5b51f_row12_col8\" class=\"data row12 col8\" >1.43</td>\n",
+ " <td id=\"T_5b51f_row12_col9\" class=\"data row12 col9\" >0.09</td>\n",
+ " <td id=\"T_5b51f_row12_col10\" class=\"data row12 col10\" >4.01</td>\n",
+ " <td id=\"T_5b51f_row12_col11\" class=\"data row12 col11\" >1.41</td>\n",
+ " <td id=\"T_5b51f_row12_col12\" class=\"data row12 col12\" >19.82</td>\n",
+ " <td id=\"T_5b51f_row12_col13\" class=\"data row12 col13\" >5.60</td>\n",
+ " <td id=\"T_5b51f_row12_col14\" class=\"data row12 col14\" >0.29</td>\n",
+ " <td id=\"T_5b51f_row12_col15\" class=\"data row12 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_5b51f_row13_col0\" class=\"data row13 col0\" >22.58</td>\n",
+ " <td id=\"T_5b51f_row13_col1\" class=\"data row13 col1\" >2.44</td>\n",
+ " <td id=\"T_5b51f_row13_col2\" class=\"data row13 col2\" >21.24</td>\n",
+ " <td id=\"T_5b51f_row13_col3\" class=\"data row13 col3\" >2.74</td>\n",
+ " <td id=\"T_5b51f_row13_col4\" class=\"data row13 col4\" >88.45</td>\n",
+ " <td id=\"T_5b51f_row13_col5\" class=\"data row13 col5\" >3.58</td>\n",
+ " <td id=\"T_5b51f_row13_col6\" class=\"data row13 col6\" >96.92</td>\n",
+ " <td id=\"T_5b51f_row13_col7\" class=\"data row13 col7\" >2.91</td>\n",
+ " <td id=\"T_5b51f_row13_col8\" class=\"data row13 col8\" >1.47</td>\n",
+ " <td id=\"T_5b51f_row13_col9\" class=\"data row13 col9\" >0.11</td>\n",
+ " <td id=\"T_5b51f_row13_col10\" class=\"data row13 col10\" >4.16</td>\n",
+ " <td id=\"T_5b51f_row13_col11\" class=\"data row13 col11\" >1.38</td>\n",
+ " <td id=\"T_5b51f_row13_col12\" class=\"data row13 col12\" >19.35</td>\n",
+ " <td id=\"T_5b51f_row13_col13\" class=\"data row13 col13\" >5.32</td>\n",
+ " <td id=\"T_5b51f_row13_col14\" class=\"data row13 col14\" >0.30</td>\n",
+ " <td id=\"T_5b51f_row13_col15\" class=\"data row13 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_5b51f_row14_col0\" class=\"data row14 col0\" >21.70</td>\n",
+ " <td id=\"T_5b51f_row14_col1\" class=\"data row14 col1\" >2.51</td>\n",
+ " <td id=\"T_5b51f_row14_col2\" class=\"data row14 col2\" >20.82</td>\n",
+ " <td id=\"T_5b51f_row14_col3\" class=\"data row14 col3\" >2.45</td>\n",
+ " <td id=\"T_5b51f_row14_col4\" class=\"data row14 col4\" >88.75</td>\n",
+ " <td id=\"T_5b51f_row14_col5\" class=\"data row14 col5\" >3.72</td>\n",
+ " <td id=\"T_5b51f_row14_col6\" class=\"data row14 col6\" >96.75</td>\n",
+ " <td id=\"T_5b51f_row14_col7\" class=\"data row14 col7\" >3.33</td>\n",
+ " <td id=\"T_5b51f_row14_col8\" class=\"data row14 col8\" >1.45</td>\n",
+ " <td id=\"T_5b51f_row14_col9\" class=\"data row14 col9\" >0.12</td>\n",
+ " <td id=\"T_5b51f_row14_col10\" class=\"data row14 col10\" >4.08</td>\n",
+ " <td id=\"T_5b51f_row14_col11\" class=\"data row14 col11\" >1.47</td>\n",
+ " <td id=\"T_5b51f_row14_col12\" class=\"data row14 col12\" >20.69</td>\n",
+ " <td id=\"T_5b51f_row14_col13\" class=\"data row14 col13\" >5.96</td>\n",
+ " <td id=\"T_5b51f_row14_col14\" class=\"data row14 col14\" >0.30</td>\n",
+ " <td id=\"T_5b51f_row14_col15\" class=\"data row14 col15\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_5b51f_row15_col0\" class=\"data row15 col0\" >5.30</td>\n",
+ " <td id=\"T_5b51f_row15_col1\" class=\"data row15 col1\" >1.30</td>\n",
+ " <td id=\"T_5b51f_row15_col2\" class=\"data row15 col2\" >8.85</td>\n",
+ " <td id=\"T_5b51f_row15_col3\" class=\"data row15 col3\" >1.91</td>\n",
+ " <td id=\"T_5b51f_row15_col4\" class=\"data row15 col4\" >78.16</td>\n",
+ " <td id=\"T_5b51f_row15_col5\" class=\"data row15 col5\" >7.58</td>\n",
+ " <td id=\"T_5b51f_row15_col6\" class=\"data row15 col6\" >93.38</td>\n",
+ " <td id=\"T_5b51f_row15_col7\" class=\"data row15 col7\" >8.05</td>\n",
+ " <td id=\"T_5b51f_row15_col8\" class=\"data row15 col8\" >1.45</td>\n",
+ " <td id=\"T_5b51f_row15_col9\" class=\"data row15 col9\" >0.23</td>\n",
+ " <td id=\"T_5b51f_row15_col10\" class=\"data row15 col10\" >7.60</td>\n",
+ " <td id=\"T_5b51f_row15_col11\" class=\"data row15 col11\" >1.74</td>\n",
+ " <td id=\"T_5b51f_row15_col12\" class=\"data row15 col12\" >72.80</td>\n",
+ " <td id=\"T_5b51f_row15_col13\" class=\"data row15 col13\" >6.51</td>\n",
+ " <td id=\"T_5b51f_row15_col14\" class=\"data row15 col14\" >0.55</td>\n",
+ " <td id=\"T_5b51f_row15_col15\" class=\"data row15 col15\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_5b51f_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_5b51f_row16_col0\" class=\"data row16 col0\" >17.41</td>\n",
+ " <td id=\"T_5b51f_row16_col1\" class=\"data row16 col1\" >2.46</td>\n",
+ " <td id=\"T_5b51f_row16_col2\" class=\"data row16 col2\" >18.09</td>\n",
+ " <td id=\"T_5b51f_row16_col3\" class=\"data row16 col3\" >2.30</td>\n",
+ " <td id=\"T_5b51f_row16_col4\" class=\"data row16 col4\" >89.08</td>\n",
+ " <td id=\"T_5b51f_row16_col5\" class=\"data row16 col5\" >4.02</td>\n",
+ " <td id=\"T_5b51f_row16_col6\" class=\"data row16 col6\" >97.21</td>\n",
+ " <td id=\"T_5b51f_row16_col7\" class=\"data row16 col7\" >3.81</td>\n",
+ " <td id=\"T_5b51f_row16_col8\" class=\"data row16 col8\" >1.34</td>\n",
+ " <td id=\"T_5b51f_row16_col9\" class=\"data row16 col9\" >0.10</td>\n",
+ " <td id=\"T_5b51f_row16_col10\" class=\"data row16 col10\" >1.95</td>\n",
+ " <td id=\"T_5b51f_row16_col11\" class=\"data row16 col11\" >0.87</td>\n",
+ " <td id=\"T_5b51f_row16_col12\" class=\"data row16 col12\" >32.99</td>\n",
+ " <td id=\"T_5b51f_row16_col13\" class=\"data row16 col13\" >6.45</td>\n",
+ " <td id=\"T_5b51f_row16_col14\" class=\"data row16 col14\" >0.14</td>\n",
+ " <td id=\"T_5b51f_row16_col15\" class=\"data row16 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_5b51f_row17_col0\" class=\"data row17 col0\" >18.13</td>\n",
+ " <td id=\"T_5b51f_row17_col1\" class=\"data row17 col1\" >2.48</td>\n",
+ " <td id=\"T_5b51f_row17_col2\" class=\"data row17 col2\" >17.75</td>\n",
+ " <td id=\"T_5b51f_row17_col3\" class=\"data row17 col3\" >2.58</td>\n",
+ " <td id=\"T_5b51f_row17_col4\" class=\"data row17 col4\" >88.27</td>\n",
+ " <td id=\"T_5b51f_row17_col5\" class=\"data row17 col5\" >4.37</td>\n",
+ " <td id=\"T_5b51f_row17_col6\" class=\"data row17 col6\" >97.19</td>\n",
+ " <td id=\"T_5b51f_row17_col7\" class=\"data row17 col7\" >2.65</td>\n",
+ " <td id=\"T_5b51f_row17_col8\" class=\"data row17 col8\" >1.33</td>\n",
+ " <td id=\"T_5b51f_row17_col9\" class=\"data row17 col9\" >0.10</td>\n",
+ " <td id=\"T_5b51f_row17_col10\" class=\"data row17 col10\" >1.81</td>\n",
+ " <td id=\"T_5b51f_row17_col11\" class=\"data row17 col11\" >0.78</td>\n",
+ " <td id=\"T_5b51f_row17_col12\" class=\"data row17 col12\" >32.26</td>\n",
+ " <td id=\"T_5b51f_row17_col13\" class=\"data row17 col13\" >6.78</td>\n",
+ " <td id=\"T_5b51f_row17_col14\" class=\"data row17 col14\" >0.13</td>\n",
+ " <td id=\"T_5b51f_row17_col15\" class=\"data row17 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_5b51f_row18_col0\" class=\"data row18 col0\" >18.13</td>\n",
+ " <td id=\"T_5b51f_row18_col1\" class=\"data row18 col1\" >2.20</td>\n",
+ " <td id=\"T_5b51f_row18_col2\" class=\"data row18 col2\" >17.90</td>\n",
+ " <td id=\"T_5b51f_row18_col3\" class=\"data row18 col3\" >2.45</td>\n",
+ " <td id=\"T_5b51f_row18_col4\" class=\"data row18 col4\" >87.72</td>\n",
+ " <td id=\"T_5b51f_row18_col5\" class=\"data row18 col5\" >4.37</td>\n",
+ " <td id=\"T_5b51f_row18_col6\" class=\"data row18 col6\" >97.54</td>\n",
+ " <td id=\"T_5b51f_row18_col7\" class=\"data row18 col7\" >2.61</td>\n",
+ " <td id=\"T_5b51f_row18_col8\" class=\"data row18 col8\" >1.34</td>\n",
+ " <td id=\"T_5b51f_row18_col9\" class=\"data row18 col9\" >0.10</td>\n",
+ " <td id=\"T_5b51f_row18_col10\" class=\"data row18 col10\" >1.88</td>\n",
+ " <td id=\"T_5b51f_row18_col11\" class=\"data row18 col11\" >0.79</td>\n",
+ " <td id=\"T_5b51f_row18_col12\" class=\"data row18 col12\" >32.63</td>\n",
+ " <td id=\"T_5b51f_row18_col13\" class=\"data row18 col13\" >5.89</td>\n",
+ " <td id=\"T_5b51f_row18_col14\" class=\"data row18 col14\" >0.14</td>\n",
+ " <td id=\"T_5b51f_row18_col15\" class=\"data row18 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5b51f_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_5b51f_row19_col0\" class=\"data row19 col0\" >18.18</td>\n",
+ " <td id=\"T_5b51f_row19_col1\" class=\"data row19 col1\" >2.46</td>\n",
+ " <td id=\"T_5b51f_row19_col2\" class=\"data row19 col2\" >18.27</td>\n",
+ " <td id=\"T_5b51f_row19_col3\" class=\"data row19 col3\" >2.55</td>\n",
+ " <td id=\"T_5b51f_row19_col4\" class=\"data row19 col4\" >88.03</td>\n",
+ " <td id=\"T_5b51f_row19_col5\" class=\"data row19 col5\" >4.51</td>\n",
+ " <td id=\"T_5b51f_row19_col6\" class=\"data row19 col6\" >96.46</td>\n",
+ " <td id=\"T_5b51f_row19_col7\" class=\"data row19 col7\" >4.69</td>\n",
+ " <td id=\"T_5b51f_row19_col8\" class=\"data row19 col8\" >1.34</td>\n",
+ " <td id=\"T_5b51f_row19_col9\" class=\"data row19 col9\" >0.11</td>\n",
+ " <td id=\"T_5b51f_row19_col10\" class=\"data row19 col10\" >2.00</td>\n",
+ " <td id=\"T_5b51f_row19_col11\" class=\"data row19 col11\" >0.87</td>\n",
+ " <td id=\"T_5b51f_row19_col12\" class=\"data row19 col12\" >33.02</td>\n",
+ " <td id=\"T_5b51f_row19_col13\" class=\"data row19 col13\" >6.50</td>\n",
+ " <td id=\"T_5b51f_row19_col14\" class=\"data row19 col14\" >0.14</td>\n",
+ " <td id=\"T_5b51f_row19_col15\" class=\"data row19 col15\" >0.06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7a4a58090980>"
+ "<pandas.io.formats.style.Styler at 0x700ff2a28050>"
]
},
"metadata": {},
@@ -502,451 +504,451 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_f4359 td {\n",
+ "#T_67d2d td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f4359 th {\n",
+ "#T_67d2d th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f4359_row2_col6, #T_f4359_row2_col8, #T_f4359_row4_col0, #T_f4359_row4_col2, #T_f4359_row4_col10, #T_f4359_row4_col12, #T_f4359_row4_col14, #T_f4359_row14_col4, #T_f4359_row18_col6, #T_f4359_row18_col8 {\n",
+ "#T_67d2d_row2_col6, #T_67d2d_row2_col8, #T_67d2d_row4_col0, #T_67d2d_row4_col2, #T_67d2d_row4_col10, #T_67d2d_row4_col12, #T_67d2d_row4_col14, #T_67d2d_row14_col4, #T_67d2d_row18_col6, #T_67d2d_row18_col8 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_f4359\">\n",
+ "<table id=\"T_67d2d\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_f4359_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_f4359_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_f4359_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_67d2d_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_67d2d_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_67d2d_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_f4359_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_f4359_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_f4359_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_f4359_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_f4359_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_f4359_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_f4359_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_f4359_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_67d2d_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_67d2d_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_67d2d_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_67d2d_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_67d2d_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_67d2d_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_67d2d_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_67d2d_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_f4359_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_f4359_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_f4359_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_f4359_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_f4359_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_f4359_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_f4359_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_f4359_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_f4359_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_67d2d_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_67d2d_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_f4359_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_f4359_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_f4359_row0_col0\" class=\"data row0 col0\" >18.45</td>\n",
- " <td id=\"T_f4359_row0_col1\" class=\"data row0 col1\" >2.98</td>\n",
- " <td id=\"T_f4359_row0_col2\" class=\"data row0 col2\" >19.43</td>\n",
- " <td id=\"T_f4359_row0_col3\" class=\"data row0 col3\" >2.93</td>\n",
- " <td id=\"T_f4359_row0_col4\" class=\"data row0 col4\" >89.30</td>\n",
- " <td id=\"T_f4359_row0_col5\" class=\"data row0 col5\" >4.75</td>\n",
- " <td id=\"T_f4359_row0_col6\" class=\"data row0 col6\" >96.91</td>\n",
- " <td id=\"T_f4359_row0_col7\" class=\"data row0 col7\" >3.21</td>\n",
- " <td id=\"T_f4359_row0_col8\" class=\"data row0 col8\" >1.21</td>\n",
- " <td id=\"T_f4359_row0_col9\" class=\"data row0 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row0_col10\" class=\"data row0 col10\" >17.04</td>\n",
- " <td id=\"T_f4359_row0_col11\" class=\"data row0 col11\" >2.12</td>\n",
- " <td id=\"T_f4359_row0_col12\" class=\"data row0 col12\" >51.68</td>\n",
- " <td id=\"T_f4359_row0_col13\" class=\"data row0 col13\" >6.48</td>\n",
- " <td id=\"T_f4359_row0_col14\" class=\"data row0 col14\" >1.23</td>\n",
- " <td id=\"T_f4359_row0_col15\" class=\"data row0 col15\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_f4359_row1_col0\" class=\"data row1 col0\" >19.19</td>\n",
- " <td id=\"T_f4359_row1_col1\" class=\"data row1 col1\" >2.81</td>\n",
- " <td id=\"T_f4359_row1_col2\" class=\"data row1 col2\" >18.40</td>\n",
- " <td id=\"T_f4359_row1_col3\" class=\"data row1 col3\" >2.75</td>\n",
- " <td id=\"T_f4359_row1_col4\" class=\"data row1 col4\" >90.11</td>\n",
- " <td id=\"T_f4359_row1_col5\" class=\"data row1 col5\" >4.07</td>\n",
- " <td id=\"T_f4359_row1_col6\" class=\"data row1 col6\" >97.07</td>\n",
- " <td id=\"T_f4359_row1_col7\" class=\"data row1 col7\" >4.15</td>\n",
- " <td id=\"T_f4359_row1_col8\" class=\"data row1 col8\" >1.20</td>\n",
- " <td id=\"T_f4359_row1_col9\" class=\"data row1 col9\" >0.11</td>\n",
- " <td id=\"T_f4359_row1_col10\" class=\"data row1 col10\" >17.01</td>\n",
- " <td id=\"T_f4359_row1_col11\" class=\"data row1 col11\" >2.06</td>\n",
- " <td id=\"T_f4359_row1_col12\" class=\"data row1 col12\" >52.60</td>\n",
- " <td id=\"T_f4359_row1_col13\" class=\"data row1 col13\" >6.96</td>\n",
- " <td id=\"T_f4359_row1_col14\" class=\"data row1 col14\" >1.23</td>\n",
- " <td id=\"T_f4359_row1_col15\" class=\"data row1 col15\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_f4359_row2_col0\" class=\"data row2 col0\" >19.06</td>\n",
- " <td id=\"T_f4359_row2_col1\" class=\"data row2 col1\" >2.98</td>\n",
- " <td id=\"T_f4359_row2_col2\" class=\"data row2 col2\" >18.89</td>\n",
- " <td id=\"T_f4359_row2_col3\" class=\"data row2 col3\" >2.97</td>\n",
- " <td id=\"T_f4359_row2_col4\" class=\"data row2 col4\" >89.70</td>\n",
- " <td id=\"T_f4359_row2_col5\" class=\"data row2 col5\" >4.94</td>\n",
- " <td id=\"T_f4359_row2_col6\" class=\"data row2 col6\" >97.76</td>\n",
- " <td id=\"T_f4359_row2_col7\" class=\"data row2 col7\" >3.18</td>\n",
- " <td id=\"T_f4359_row2_col8\" class=\"data row2 col8\" >1.20</td>\n",
- " <td id=\"T_f4359_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row2_col10\" class=\"data row2 col10\" >17.17</td>\n",
- " <td id=\"T_f4359_row2_col11\" class=\"data row2 col11\" >2.15</td>\n",
- " <td id=\"T_f4359_row2_col12\" class=\"data row2 col12\" >51.33</td>\n",
- " <td id=\"T_f4359_row2_col13\" class=\"data row2 col13\" >6.86</td>\n",
- " <td id=\"T_f4359_row2_col14\" class=\"data row2 col14\" >1.24</td>\n",
- " <td id=\"T_f4359_row2_col15\" class=\"data row2 col15\" >0.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_f4359_row3_col0\" class=\"data row3 col0\" >19.02</td>\n",
- " <td id=\"T_f4359_row3_col1\" class=\"data row3 col1\" >2.94</td>\n",
- " <td id=\"T_f4359_row3_col2\" class=\"data row3 col2\" >19.69</td>\n",
- " <td id=\"T_f4359_row3_col3\" class=\"data row3 col3\" >2.89</td>\n",
- " <td id=\"T_f4359_row3_col4\" class=\"data row3 col4\" >89.33</td>\n",
- " <td id=\"T_f4359_row3_col5\" class=\"data row3 col5\" >5.04</td>\n",
- " <td id=\"T_f4359_row3_col6\" class=\"data row3 col6\" >97.50</td>\n",
- " <td id=\"T_f4359_row3_col7\" class=\"data row3 col7\" >3.05</td>\n",
- " <td id=\"T_f4359_row3_col8\" class=\"data row3 col8\" >1.22</td>\n",
- " <td id=\"T_f4359_row3_col9\" class=\"data row3 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row3_col10\" class=\"data row3 col10\" >17.57</td>\n",
- " <td id=\"T_f4359_row3_col11\" class=\"data row3 col11\" >2.04</td>\n",
- " <td id=\"T_f4359_row3_col12\" class=\"data row3 col12\" >51.65</td>\n",
- " <td id=\"T_f4359_row3_col13\" class=\"data row3 col13\" >6.10</td>\n",
- " <td id=\"T_f4359_row3_col14\" class=\"data row3 col14\" >1.27</td>\n",
- " <td id=\"T_f4359_row3_col15\" class=\"data row3 col15\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
- " <th id=\"T_f4359_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_f4359_row4_col0\" class=\"data row4 col0\" >44.93</td>\n",
- " <td id=\"T_f4359_row4_col1\" class=\"data row4 col1\" >3.92</td>\n",
- " <td id=\"T_f4359_row4_col2\" class=\"data row4 col2\" >32.28</td>\n",
- " <td id=\"T_f4359_row4_col3\" class=\"data row4 col3\" >4.87</td>\n",
- " <td id=\"T_f4359_row4_col4\" class=\"data row4 col4\" >87.06</td>\n",
- " <td id=\"T_f4359_row4_col5\" class=\"data row4 col5\" >3.35</td>\n",
- " <td id=\"T_f4359_row4_col6\" class=\"data row4 col6\" >94.52</td>\n",
- " <td id=\"T_f4359_row4_col7\" class=\"data row4 col7\" >3.51</td>\n",
- " <td id=\"T_f4359_row4_col8\" class=\"data row4 col8\" >1.80</td>\n",
- " <td id=\"T_f4359_row4_col9\" class=\"data row4 col9\" >0.12</td>\n",
- " <td id=\"T_f4359_row4_col10\" class=\"data row4 col10\" >34.91</td>\n",
- " <td id=\"T_f4359_row4_col11\" class=\"data row4 col11\" >3.61</td>\n",
- " <td id=\"T_f4359_row4_col12\" class=\"data row4 col12\" >4.98</td>\n",
- " <td id=\"T_f4359_row4_col13\" class=\"data row4 col13\" >2.71</td>\n",
- " <td id=\"T_f4359_row4_col14\" class=\"data row4 col14\" >2.53</td>\n",
- " <td id=\"T_f4359_row4_col15\" class=\"data row4 col15\" >0.26</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_f4359_row5_col0\" class=\"data row5 col0\" >9.88</td>\n",
- " <td id=\"T_f4359_row5_col1\" class=\"data row5 col1\" >2.22</td>\n",
- " <td id=\"T_f4359_row5_col2\" class=\"data row5 col2\" >15.04</td>\n",
- " <td id=\"T_f4359_row5_col3\" class=\"data row5 col3\" >2.99</td>\n",
- " <td id=\"T_f4359_row5_col4\" class=\"data row5 col4\" >85.62</td>\n",
- " <td id=\"T_f4359_row5_col5\" class=\"data row5 col5\" >6.34</td>\n",
- " <td id=\"T_f4359_row5_col6\" class=\"data row5 col6\" >96.23</td>\n",
- " <td id=\"T_f4359_row5_col7\" class=\"data row5 col7\" >4.96</td>\n",
- " <td id=\"T_f4359_row5_col8\" class=\"data row5 col8\" >1.23</td>\n",
- " <td id=\"T_f4359_row5_col9\" class=\"data row5 col9\" >0.15</td>\n",
- " <td id=\"T_f4359_row5_col10\" class=\"data row5 col10\" >10.31</td>\n",
- " <td id=\"T_f4359_row5_col11\" class=\"data row5 col11\" >1.80</td>\n",
- " <td id=\"T_f4359_row5_col12\" class=\"data row5 col12\" >69.38</td>\n",
- " <td id=\"T_f4359_row5_col13\" class=\"data row5 col13\" >6.22</td>\n",
- " <td id=\"T_f4359_row5_col14\" class=\"data row5 col14\" >0.75</td>\n",
- " <td id=\"T_f4359_row5_col15\" class=\"data row5 col15\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_f4359_row6_col0\" class=\"data row6 col0\" >10.25</td>\n",
- " <td id=\"T_f4359_row6_col1\" class=\"data row6 col1\" >2.48</td>\n",
- " <td id=\"T_f4359_row6_col2\" class=\"data row6 col2\" >14.96</td>\n",
- " <td id=\"T_f4359_row6_col3\" class=\"data row6 col3\" >3.18</td>\n",
- " <td id=\"T_f4359_row6_col4\" class=\"data row6 col4\" >86.42</td>\n",
- " <td id=\"T_f4359_row6_col5\" class=\"data row6 col5\" >6.50</td>\n",
- " <td id=\"T_f4359_row6_col6\" class=\"data row6 col6\" >95.48</td>\n",
- " <td id=\"T_f4359_row6_col7\" class=\"data row6 col7\" >6.63</td>\n",
- " <td id=\"T_f4359_row6_col8\" class=\"data row6 col8\" >1.22</td>\n",
- " <td id=\"T_f4359_row6_col9\" class=\"data row6 col9\" >0.15</td>\n",
- " <td id=\"T_f4359_row6_col10\" class=\"data row6 col10\" >10.41</td>\n",
- " <td id=\"T_f4359_row6_col11\" class=\"data row6 col11\" >1.95</td>\n",
- " <td id=\"T_f4359_row6_col12\" class=\"data row6 col12\" >68.04</td>\n",
- " <td id=\"T_f4359_row6_col13\" class=\"data row6 col13\" >6.48</td>\n",
- " <td id=\"T_f4359_row6_col14\" class=\"data row6 col14\" >0.75</td>\n",
- " <td id=\"T_f4359_row6_col15\" class=\"data row6 col15\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_f4359_row7_col0\" class=\"data row7 col0\" >10.88</td>\n",
- " <td id=\"T_f4359_row7_col1\" class=\"data row7 col1\" >2.48</td>\n",
- " <td id=\"T_f4359_row7_col2\" class=\"data row7 col2\" >14.79</td>\n",
- " <td id=\"T_f4359_row7_col3\" class=\"data row7 col3\" >2.77</td>\n",
- " <td id=\"T_f4359_row7_col4\" class=\"data row7 col4\" >85.83</td>\n",
- " <td id=\"T_f4359_row7_col5\" class=\"data row7 col5\" >6.38</td>\n",
- " <td id=\"T_f4359_row7_col6\" class=\"data row7 col6\" >96.17</td>\n",
- " <td id=\"T_f4359_row7_col7\" class=\"data row7 col7\" >5.11</td>\n",
- " <td id=\"T_f4359_row7_col8\" class=\"data row7 col8\" >1.23</td>\n",
- " <td id=\"T_f4359_row7_col9\" class=\"data row7 col9\" >0.16</td>\n",
- " <td id=\"T_f4359_row7_col10\" class=\"data row7 col10\" >10.63</td>\n",
- " <td id=\"T_f4359_row7_col11\" class=\"data row7 col11\" >1.94</td>\n",
- " <td id=\"T_f4359_row7_col12\" class=\"data row7 col12\" >68.32</td>\n",
- " <td id=\"T_f4359_row7_col13\" class=\"data row7 col13\" >6.10</td>\n",
- " <td id=\"T_f4359_row7_col14\" class=\"data row7 col14\" >0.77</td>\n",
- " <td id=\"T_f4359_row7_col15\" class=\"data row7 col15\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
- " <th id=\"T_f4359_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_f4359_row8_col0\" class=\"data row8 col0\" >32.33</td>\n",
- " <td id=\"T_f4359_row8_col1\" class=\"data row8 col1\" >3.82</td>\n",
- " <td id=\"T_f4359_row8_col2\" class=\"data row8 col2\" >30.43</td>\n",
- " <td id=\"T_f4359_row8_col3\" class=\"data row8 col3\" >3.46</td>\n",
- " <td id=\"T_f4359_row8_col4\" class=\"data row8 col4\" >90.31</td>\n",
- " <td id=\"T_f4359_row8_col5\" class=\"data row8 col5\" >3.24</td>\n",
- " <td id=\"T_f4359_row8_col6\" class=\"data row8 col6\" >96.78</td>\n",
- " <td id=\"T_f4359_row8_col7\" class=\"data row8 col7\" >2.94</td>\n",
- " <td id=\"T_f4359_row8_col8\" class=\"data row8 col8\" >1.42</td>\n",
- " <td id=\"T_f4359_row8_col9\" class=\"data row8 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row8_col10\" class=\"data row8 col10\" >6.65</td>\n",
- " <td id=\"T_f4359_row8_col11\" class=\"data row8 col11\" >2.36</td>\n",
- " <td id=\"T_f4359_row8_col12\" class=\"data row8 col12\" >22.49</td>\n",
- " <td id=\"T_f4359_row8_col13\" class=\"data row8 col13\" >6.90</td>\n",
- " <td id=\"T_f4359_row8_col14\" class=\"data row8 col14\" >0.48</td>\n",
- " <td id=\"T_f4359_row8_col15\" class=\"data row8 col15\" >0.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_f4359_row9_col0\" class=\"data row9 col0\" >32.89</td>\n",
- " <td id=\"T_f4359_row9_col1\" class=\"data row9 col1\" >3.19</td>\n",
- " <td id=\"T_f4359_row9_col2\" class=\"data row9 col2\" >30.07</td>\n",
- " <td id=\"T_f4359_row9_col3\" class=\"data row9 col3\" >4.00</td>\n",
- " <td id=\"T_f4359_row9_col4\" class=\"data row9 col4\" >89.69</td>\n",
- " <td id=\"T_f4359_row9_col5\" class=\"data row9 col5\" >3.96</td>\n",
- " <td id=\"T_f4359_row9_col6\" class=\"data row9 col6\" >97.28</td>\n",
- " <td id=\"T_f4359_row9_col7\" class=\"data row9 col7\" >2.81</td>\n",
- " <td id=\"T_f4359_row9_col8\" class=\"data row9 col8\" >1.42</td>\n",
- " <td id=\"T_f4359_row9_col9\" class=\"data row9 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row9_col10\" class=\"data row9 col10\" >6.66</td>\n",
- " <td id=\"T_f4359_row9_col11\" class=\"data row9 col11\" >2.02</td>\n",
- " <td id=\"T_f4359_row9_col12\" class=\"data row9 col12\" >22.02</td>\n",
- " <td id=\"T_f4359_row9_col13\" class=\"data row9 col13\" >6.24</td>\n",
- " <td id=\"T_f4359_row9_col14\" class=\"data row9 col14\" >0.48</td>\n",
- " <td id=\"T_f4359_row9_col15\" class=\"data row9 col15\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_f4359_row10_col0\" class=\"data row10 col0\" >5.25</td>\n",
- " <td id=\"T_f4359_row10_col1\" class=\"data row10 col1\" >1.53</td>\n",
- " <td id=\"T_f4359_row10_col2\" class=\"data row10 col2\" >8.26</td>\n",
- " <td id=\"T_f4359_row10_col3\" class=\"data row10 col3\" >2.36</td>\n",
- " <td id=\"T_f4359_row10_col4\" class=\"data row10 col4\" >77.59</td>\n",
- " <td id=\"T_f4359_row10_col5\" class=\"data row10 col5\" >9.92</td>\n",
- " <td id=\"T_f4359_row10_col6\" class=\"data row10 col6\" >93.91</td>\n",
- " <td id=\"T_f4359_row10_col7\" class=\"data row10 col7\" >10.66</td>\n",
- " <td id=\"T_f4359_row10_col8\" class=\"data row10 col8\" >1.28</td>\n",
- " <td id=\"T_f4359_row10_col9\" class=\"data row10 col9\" >0.22</td>\n",
- " <td id=\"T_f4359_row10_col10\" class=\"data row10 col10\" >5.00</td>\n",
- " <td id=\"T_f4359_row10_col11\" class=\"data row10 col11\" >1.28</td>\n",
- " <td id=\"T_f4359_row10_col12\" class=\"data row10 col12\" >82.96</td>\n",
- " <td id=\"T_f4359_row10_col13\" class=\"data row10 col13\" >4.43</td>\n",
- " <td id=\"T_f4359_row10_col14\" class=\"data row10 col14\" >0.36</td>\n",
- " <td id=\"T_f4359_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_f4359_row11_col0\" class=\"data row11 col0\" >5.45</td>\n",
- " <td id=\"T_f4359_row11_col1\" class=\"data row11 col1\" >1.84</td>\n",
- " <td id=\"T_f4359_row11_col2\" class=\"data row11 col2\" >8.40</td>\n",
- " <td id=\"T_f4359_row11_col3\" class=\"data row11 col3\" >2.17</td>\n",
- " <td id=\"T_f4359_row11_col4\" class=\"data row11 col4\" >79.95</td>\n",
- " <td id=\"T_f4359_row11_col5\" class=\"data row11 col5\" >9.52</td>\n",
- " <td id=\"T_f4359_row11_col6\" class=\"data row11 col6\" >94.76</td>\n",
- " <td id=\"T_f4359_row11_col7\" class=\"data row11 col7\" >8.13</td>\n",
- " <td id=\"T_f4359_row11_col8\" class=\"data row11 col8\" >1.24</td>\n",
- " <td id=\"T_f4359_row11_col9\" class=\"data row11 col9\" >0.21</td>\n",
- " <td id=\"T_f4359_row11_col10\" class=\"data row11 col10\" >5.22</td>\n",
- " <td id=\"T_f4359_row11_col11\" class=\"data row11 col11\" >1.45</td>\n",
- " <td id=\"T_f4359_row11_col12\" class=\"data row11 col12\" >82.33</td>\n",
- " <td id=\"T_f4359_row11_col13\" class=\"data row11 col13\" >4.75</td>\n",
- " <td id=\"T_f4359_row11_col14\" class=\"data row11 col14\" >0.38</td>\n",
- " <td id=\"T_f4359_row11_col15\" class=\"data row11 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
- " <th id=\"T_f4359_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_f4359_row12_col0\" class=\"data row12 col0\" >24.18</td>\n",
- " <td id=\"T_f4359_row12_col1\" class=\"data row12 col1\" >3.27</td>\n",
- " <td id=\"T_f4359_row12_col2\" class=\"data row12 col2\" >23.83</td>\n",
- " <td id=\"T_f4359_row12_col3\" class=\"data row12 col3\" >3.22</td>\n",
- " <td id=\"T_f4359_row12_col4\" class=\"data row12 col4\" >90.00</td>\n",
- " <td id=\"T_f4359_row12_col5\" class=\"data row12 col5\" >3.96</td>\n",
- " <td id=\"T_f4359_row12_col6\" class=\"data row12 col6\" >97.12</td>\n",
- " <td id=\"T_f4359_row12_col7\" class=\"data row12 col7\" >3.90</td>\n",
- " <td id=\"T_f4359_row12_col8\" class=\"data row12 col8\" >1.27</td>\n",
- " <td id=\"T_f4359_row12_col9\" class=\"data row12 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row12_col10\" class=\"data row12 col10\" >2.22</td>\n",
- " <td id=\"T_f4359_row12_col11\" class=\"data row12 col11\" >0.91</td>\n",
- " <td id=\"T_f4359_row12_col12\" class=\"data row12 col12\" >39.49</td>\n",
- " <td id=\"T_f4359_row12_col13\" class=\"data row12 col13\" >6.87</td>\n",
- " <td id=\"T_f4359_row12_col14\" class=\"data row12 col14\" >0.16</td>\n",
- " <td id=\"T_f4359_row12_col15\" class=\"data row12 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_f4359_row13_col0\" class=\"data row13 col0\" >24.36</td>\n",
- " <td id=\"T_f4359_row13_col1\" class=\"data row13 col1\" >3.41</td>\n",
- " <td id=\"T_f4359_row13_col2\" class=\"data row13 col2\" >23.87</td>\n",
- " <td id=\"T_f4359_row13_col3\" class=\"data row13 col3\" >3.46</td>\n",
- " <td id=\"T_f4359_row13_col4\" class=\"data row13 col4\" >90.22</td>\n",
- " <td id=\"T_f4359_row13_col5\" class=\"data row13 col5\" >4.92</td>\n",
- " <td id=\"T_f4359_row13_col6\" class=\"data row13 col6\" >97.30</td>\n",
- " <td id=\"T_f4359_row13_col7\" class=\"data row13 col7\" >3.09</td>\n",
- " <td id=\"T_f4359_row13_col8\" class=\"data row13 col8\" >1.28</td>\n",
- " <td id=\"T_f4359_row13_col9\" class=\"data row13 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row13_col10\" class=\"data row13 col10\" >1.93</td>\n",
- " <td id=\"T_f4359_row13_col11\" class=\"data row13 col11\" >0.84</td>\n",
- " <td id=\"T_f4359_row13_col12\" class=\"data row13 col12\" >41.01</td>\n",
- " <td id=\"T_f4359_row13_col13\" class=\"data row13 col13\" >6.67</td>\n",
- " <td id=\"T_f4359_row13_col14\" class=\"data row13 col14\" >0.14</td>\n",
- " <td id=\"T_f4359_row13_col15\" class=\"data row13 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_f4359_row14_col0\" class=\"data row14 col0\" >23.84</td>\n",
- " <td id=\"T_f4359_row14_col1\" class=\"data row14 col1\" >3.54</td>\n",
- " <td id=\"T_f4359_row14_col2\" class=\"data row14 col2\" >23.35</td>\n",
- " <td id=\"T_f4359_row14_col3\" class=\"data row14 col3\" >3.01</td>\n",
- " <td id=\"T_f4359_row14_col4\" class=\"data row14 col4\" >90.59</td>\n",
- " <td id=\"T_f4359_row14_col5\" class=\"data row14 col5\" >4.42</td>\n",
- " <td id=\"T_f4359_row14_col6\" class=\"data row14 col6\" >97.55</td>\n",
- " <td id=\"T_f4359_row14_col7\" class=\"data row14 col7\" >2.83</td>\n",
- " <td id=\"T_f4359_row14_col8\" class=\"data row14 col8\" >1.27</td>\n",
- " <td id=\"T_f4359_row14_col9\" class=\"data row14 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row14_col10\" class=\"data row14 col10\" >1.88</td>\n",
- " <td id=\"T_f4359_row14_col11\" class=\"data row14 col11\" >0.78</td>\n",
- " <td id=\"T_f4359_row14_col12\" class=\"data row14 col12\" >39.28</td>\n",
- " <td id=\"T_f4359_row14_col13\" class=\"data row14 col13\" >7.49</td>\n",
- " <td id=\"T_f4359_row14_col14\" class=\"data row14 col14\" >0.14</td>\n",
- " <td id=\"T_f4359_row14_col15\" class=\"data row14 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_f4359_row15_col0\" class=\"data row15 col0\" >3.58</td>\n",
- " <td id=\"T_f4359_row15_col1\" class=\"data row15 col1\" >1.55</td>\n",
- " <td id=\"T_f4359_row15_col2\" class=\"data row15 col2\" >5.69</td>\n",
- " <td id=\"T_f4359_row15_col3\" class=\"data row15 col3\" >2.03</td>\n",
- " <td id=\"T_f4359_row15_col4\" class=\"data row15 col4\" >72.24</td>\n",
- " <td id=\"T_f4359_row15_col5\" class=\"data row15 col5\" >12.95</td>\n",
- " <td id=\"T_f4359_row15_col6\" class=\"data row15 col6\" >92.87</td>\n",
- " <td id=\"T_f4359_row15_col7\" class=\"data row15 col7\" >15.31</td>\n",
- " <td id=\"T_f4359_row15_col8\" class=\"data row15 col8\" >1.28</td>\n",
- " <td id=\"T_f4359_row15_col9\" class=\"data row15 col9\" >0.29</td>\n",
- " <td id=\"T_f4359_row15_col10\" class=\"data row15 col10\" >3.19</td>\n",
- " <td id=\"T_f4359_row15_col11\" class=\"data row15 col11\" >1.17</td>\n",
- " <td id=\"T_f4359_row15_col12\" class=\"data row15 col12\" >88.26</td>\n",
- " <td id=\"T_f4359_row15_col13\" class=\"data row15 col13\" >4.35</td>\n",
- " <td id=\"T_f4359_row15_col14\" class=\"data row15 col14\" >0.23</td>\n",
- " <td id=\"T_f4359_row15_col15\" class=\"data row15 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
- " <th id=\"T_f4359_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_f4359_row16_col0\" class=\"data row16 col0\" >18.45</td>\n",
- " <td id=\"T_f4359_row16_col1\" class=\"data row16 col1\" >2.98</td>\n",
- " <td id=\"T_f4359_row16_col2\" class=\"data row16 col2\" >19.43</td>\n",
- " <td id=\"T_f4359_row16_col3\" class=\"data row16 col3\" >2.93</td>\n",
- " <td id=\"T_f4359_row16_col4\" class=\"data row16 col4\" >89.30</td>\n",
- " <td id=\"T_f4359_row16_col5\" class=\"data row16 col5\" >4.75</td>\n",
- " <td id=\"T_f4359_row16_col6\" class=\"data row16 col6\" >96.91</td>\n",
- " <td id=\"T_f4359_row16_col7\" class=\"data row16 col7\" >3.21</td>\n",
- " <td id=\"T_f4359_row16_col8\" class=\"data row16 col8\" >1.21</td>\n",
- " <td id=\"T_f4359_row16_col9\" class=\"data row16 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row16_col10\" class=\"data row16 col10\" >0.87</td>\n",
- " <td id=\"T_f4359_row16_col11\" class=\"data row16 col11\" >0.51</td>\n",
- " <td id=\"T_f4359_row16_col12\" class=\"data row16 col12\" >51.68</td>\n",
- " <td id=\"T_f4359_row16_col13\" class=\"data row16 col13\" >6.48</td>\n",
- " <td id=\"T_f4359_row16_col14\" class=\"data row16 col14\" >0.06</td>\n",
- " <td id=\"T_f4359_row16_col15\" class=\"data row16 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_f4359_row17_col0\" class=\"data row17 col0\" >19.19</td>\n",
- " <td id=\"T_f4359_row17_col1\" class=\"data row17 col1\" >2.81</td>\n",
- " <td id=\"T_f4359_row17_col2\" class=\"data row17 col2\" >18.40</td>\n",
- " <td id=\"T_f4359_row17_col3\" class=\"data row17 col3\" >2.75</td>\n",
- " <td id=\"T_f4359_row17_col4\" class=\"data row17 col4\" >90.11</td>\n",
- " <td id=\"T_f4359_row17_col5\" class=\"data row17 col5\" >4.07</td>\n",
- " <td id=\"T_f4359_row17_col6\" class=\"data row17 col6\" >97.07</td>\n",
- " <td id=\"T_f4359_row17_col7\" class=\"data row17 col7\" >4.15</td>\n",
- " <td id=\"T_f4359_row17_col8\" class=\"data row17 col8\" >1.20</td>\n",
- " <td id=\"T_f4359_row17_col9\" class=\"data row17 col9\" >0.11</td>\n",
- " <td id=\"T_f4359_row17_col10\" class=\"data row17 col10\" >0.88</td>\n",
- " <td id=\"T_f4359_row17_col11\" class=\"data row17 col11\" >0.61</td>\n",
- " <td id=\"T_f4359_row17_col12\" class=\"data row17 col12\" >52.60</td>\n",
- " <td id=\"T_f4359_row17_col13\" class=\"data row17 col13\" >6.96</td>\n",
- " <td id=\"T_f4359_row17_col14\" class=\"data row17 col14\" >0.06</td>\n",
- " <td id=\"T_f4359_row17_col15\" class=\"data row17 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_f4359_row18_col0\" class=\"data row18 col0\" >19.06</td>\n",
- " <td id=\"T_f4359_row18_col1\" class=\"data row18 col1\" >2.98</td>\n",
- " <td id=\"T_f4359_row18_col2\" class=\"data row18 col2\" >18.89</td>\n",
- " <td id=\"T_f4359_row18_col3\" class=\"data row18 col3\" >2.97</td>\n",
- " <td id=\"T_f4359_row18_col4\" class=\"data row18 col4\" >89.70</td>\n",
- " <td id=\"T_f4359_row18_col5\" class=\"data row18 col5\" >4.94</td>\n",
- " <td id=\"T_f4359_row18_col6\" class=\"data row18 col6\" >97.76</td>\n",
- " <td id=\"T_f4359_row18_col7\" class=\"data row18 col7\" >3.18</td>\n",
- " <td id=\"T_f4359_row18_col8\" class=\"data row18 col8\" >1.20</td>\n",
- " <td id=\"T_f4359_row18_col9\" class=\"data row18 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row18_col10\" class=\"data row18 col10\" >0.89</td>\n",
- " <td id=\"T_f4359_row18_col11\" class=\"data row18 col11\" >0.53</td>\n",
- " <td id=\"T_f4359_row18_col12\" class=\"data row18 col12\" >51.33</td>\n",
- " <td id=\"T_f4359_row18_col13\" class=\"data row18 col13\" >6.86</td>\n",
- " <td id=\"T_f4359_row18_col14\" class=\"data row18 col14\" >0.06</td>\n",
- " <td id=\"T_f4359_row18_col15\" class=\"data row18 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f4359_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_f4359_row19_col0\" class=\"data row19 col0\" >19.02</td>\n",
- " <td id=\"T_f4359_row19_col1\" class=\"data row19 col1\" >2.94</td>\n",
- " <td id=\"T_f4359_row19_col2\" class=\"data row19 col2\" >19.69</td>\n",
- " <td id=\"T_f4359_row19_col3\" class=\"data row19 col3\" >2.89</td>\n",
- " <td id=\"T_f4359_row19_col4\" class=\"data row19 col4\" >89.33</td>\n",
- " <td id=\"T_f4359_row19_col5\" class=\"data row19 col5\" >5.04</td>\n",
- " <td id=\"T_f4359_row19_col6\" class=\"data row19 col6\" >97.50</td>\n",
- " <td id=\"T_f4359_row19_col7\" class=\"data row19 col7\" >3.05</td>\n",
- " <td id=\"T_f4359_row19_col8\" class=\"data row19 col8\" >1.22</td>\n",
- " <td id=\"T_f4359_row19_col9\" class=\"data row19 col9\" >0.10</td>\n",
- " <td id=\"T_f4359_row19_col10\" class=\"data row19 col10\" >0.97</td>\n",
- " <td id=\"T_f4359_row19_col11\" class=\"data row19 col11\" >0.56</td>\n",
- " <td id=\"T_f4359_row19_col12\" class=\"data row19 col12\" >51.65</td>\n",
- " <td id=\"T_f4359_row19_col13\" class=\"data row19 col13\" >6.10</td>\n",
- " <td id=\"T_f4359_row19_col14\" class=\"data row19 col14\" >0.07</td>\n",
- " <td id=\"T_f4359_row19_col15\" class=\"data row19 col15\" >0.04</td>\n",
+ " <th id=\"T_67d2d_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_67d2d_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_67d2d_row0_col0\" class=\"data row0 col0\" >18.45</td>\n",
+ " <td id=\"T_67d2d_row0_col1\" class=\"data row0 col1\" >2.98</td>\n",
+ " <td id=\"T_67d2d_row0_col2\" class=\"data row0 col2\" >19.43</td>\n",
+ " <td id=\"T_67d2d_row0_col3\" class=\"data row0 col3\" >2.93</td>\n",
+ " <td id=\"T_67d2d_row0_col4\" class=\"data row0 col4\" >89.30</td>\n",
+ " <td id=\"T_67d2d_row0_col5\" class=\"data row0 col5\" >4.75</td>\n",
+ " <td id=\"T_67d2d_row0_col6\" class=\"data row0 col6\" >96.91</td>\n",
+ " <td id=\"T_67d2d_row0_col7\" class=\"data row0 col7\" >3.21</td>\n",
+ " <td id=\"T_67d2d_row0_col8\" class=\"data row0 col8\" >1.21</td>\n",
+ " <td id=\"T_67d2d_row0_col9\" class=\"data row0 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row0_col10\" class=\"data row0 col10\" >17.04</td>\n",
+ " <td id=\"T_67d2d_row0_col11\" class=\"data row0 col11\" >2.12</td>\n",
+ " <td id=\"T_67d2d_row0_col12\" class=\"data row0 col12\" >51.68</td>\n",
+ " <td id=\"T_67d2d_row0_col13\" class=\"data row0 col13\" >6.48</td>\n",
+ " <td id=\"T_67d2d_row0_col14\" class=\"data row0 col14\" >1.23</td>\n",
+ " <td id=\"T_67d2d_row0_col15\" class=\"data row0 col15\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_67d2d_row1_col0\" class=\"data row1 col0\" >19.19</td>\n",
+ " <td id=\"T_67d2d_row1_col1\" class=\"data row1 col1\" >2.81</td>\n",
+ " <td id=\"T_67d2d_row1_col2\" class=\"data row1 col2\" >18.40</td>\n",
+ " <td id=\"T_67d2d_row1_col3\" class=\"data row1 col3\" >2.75</td>\n",
+ " <td id=\"T_67d2d_row1_col4\" class=\"data row1 col4\" >90.11</td>\n",
+ " <td id=\"T_67d2d_row1_col5\" class=\"data row1 col5\" >4.07</td>\n",
+ " <td id=\"T_67d2d_row1_col6\" class=\"data row1 col6\" >97.07</td>\n",
+ " <td id=\"T_67d2d_row1_col7\" class=\"data row1 col7\" >4.15</td>\n",
+ " <td id=\"T_67d2d_row1_col8\" class=\"data row1 col8\" >1.20</td>\n",
+ " <td id=\"T_67d2d_row1_col9\" class=\"data row1 col9\" >0.11</td>\n",
+ " <td id=\"T_67d2d_row1_col10\" class=\"data row1 col10\" >17.01</td>\n",
+ " <td id=\"T_67d2d_row1_col11\" class=\"data row1 col11\" >2.06</td>\n",
+ " <td id=\"T_67d2d_row1_col12\" class=\"data row1 col12\" >52.60</td>\n",
+ " <td id=\"T_67d2d_row1_col13\" class=\"data row1 col13\" >6.96</td>\n",
+ " <td id=\"T_67d2d_row1_col14\" class=\"data row1 col14\" >1.23</td>\n",
+ " <td id=\"T_67d2d_row1_col15\" class=\"data row1 col15\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_67d2d_row2_col0\" class=\"data row2 col0\" >19.06</td>\n",
+ " <td id=\"T_67d2d_row2_col1\" class=\"data row2 col1\" >2.98</td>\n",
+ " <td id=\"T_67d2d_row2_col2\" class=\"data row2 col2\" >18.89</td>\n",
+ " <td id=\"T_67d2d_row2_col3\" class=\"data row2 col3\" >2.97</td>\n",
+ " <td id=\"T_67d2d_row2_col4\" class=\"data row2 col4\" >89.70</td>\n",
+ " <td id=\"T_67d2d_row2_col5\" class=\"data row2 col5\" >4.94</td>\n",
+ " <td id=\"T_67d2d_row2_col6\" class=\"data row2 col6\" >97.76</td>\n",
+ " <td id=\"T_67d2d_row2_col7\" class=\"data row2 col7\" >3.18</td>\n",
+ " <td id=\"T_67d2d_row2_col8\" class=\"data row2 col8\" >1.20</td>\n",
+ " <td id=\"T_67d2d_row2_col9\" class=\"data row2 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row2_col10\" class=\"data row2 col10\" >17.17</td>\n",
+ " <td id=\"T_67d2d_row2_col11\" class=\"data row2 col11\" >2.15</td>\n",
+ " <td id=\"T_67d2d_row2_col12\" class=\"data row2 col12\" >51.33</td>\n",
+ " <td id=\"T_67d2d_row2_col13\" class=\"data row2 col13\" >6.86</td>\n",
+ " <td id=\"T_67d2d_row2_col14\" class=\"data row2 col14\" >1.24</td>\n",
+ " <td id=\"T_67d2d_row2_col15\" class=\"data row2 col15\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_67d2d_row3_col0\" class=\"data row3 col0\" >19.02</td>\n",
+ " <td id=\"T_67d2d_row3_col1\" class=\"data row3 col1\" >2.94</td>\n",
+ " <td id=\"T_67d2d_row3_col2\" class=\"data row3 col2\" >19.69</td>\n",
+ " <td id=\"T_67d2d_row3_col3\" class=\"data row3 col3\" >2.89</td>\n",
+ " <td id=\"T_67d2d_row3_col4\" class=\"data row3 col4\" >89.33</td>\n",
+ " <td id=\"T_67d2d_row3_col5\" class=\"data row3 col5\" >5.04</td>\n",
+ " <td id=\"T_67d2d_row3_col6\" class=\"data row3 col6\" >97.50</td>\n",
+ " <td id=\"T_67d2d_row3_col7\" class=\"data row3 col7\" >3.05</td>\n",
+ " <td id=\"T_67d2d_row3_col8\" class=\"data row3 col8\" >1.22</td>\n",
+ " <td id=\"T_67d2d_row3_col9\" class=\"data row3 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row3_col10\" class=\"data row3 col10\" >17.57</td>\n",
+ " <td id=\"T_67d2d_row3_col11\" class=\"data row3 col11\" >2.04</td>\n",
+ " <td id=\"T_67d2d_row3_col12\" class=\"data row3 col12\" >51.65</td>\n",
+ " <td id=\"T_67d2d_row3_col13\" class=\"data row3 col13\" >6.10</td>\n",
+ " <td id=\"T_67d2d_row3_col14\" class=\"data row3 col14\" >1.27</td>\n",
+ " <td id=\"T_67d2d_row3_col15\" class=\"data row3 col15\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_67d2d_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_67d2d_row4_col0\" class=\"data row4 col0\" >44.93</td>\n",
+ " <td id=\"T_67d2d_row4_col1\" class=\"data row4 col1\" >3.92</td>\n",
+ " <td id=\"T_67d2d_row4_col2\" class=\"data row4 col2\" >32.28</td>\n",
+ " <td id=\"T_67d2d_row4_col3\" class=\"data row4 col3\" >4.87</td>\n",
+ " <td id=\"T_67d2d_row4_col4\" class=\"data row4 col4\" >87.06</td>\n",
+ " <td id=\"T_67d2d_row4_col5\" class=\"data row4 col5\" >3.35</td>\n",
+ " <td id=\"T_67d2d_row4_col6\" class=\"data row4 col6\" >94.52</td>\n",
+ " <td id=\"T_67d2d_row4_col7\" class=\"data row4 col7\" >3.51</td>\n",
+ " <td id=\"T_67d2d_row4_col8\" class=\"data row4 col8\" >1.80</td>\n",
+ " <td id=\"T_67d2d_row4_col9\" class=\"data row4 col9\" >0.12</td>\n",
+ " <td id=\"T_67d2d_row4_col10\" class=\"data row4 col10\" >34.91</td>\n",
+ " <td id=\"T_67d2d_row4_col11\" class=\"data row4 col11\" >3.61</td>\n",
+ " <td id=\"T_67d2d_row4_col12\" class=\"data row4 col12\" >4.98</td>\n",
+ " <td id=\"T_67d2d_row4_col13\" class=\"data row4 col13\" >2.71</td>\n",
+ " <td id=\"T_67d2d_row4_col14\" class=\"data row4 col14\" >2.53</td>\n",
+ " <td id=\"T_67d2d_row4_col15\" class=\"data row4 col15\" >0.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_67d2d_row5_col0\" class=\"data row5 col0\" >9.88</td>\n",
+ " <td id=\"T_67d2d_row5_col1\" class=\"data row5 col1\" >2.22</td>\n",
+ " <td id=\"T_67d2d_row5_col2\" class=\"data row5 col2\" >15.04</td>\n",
+ " <td id=\"T_67d2d_row5_col3\" class=\"data row5 col3\" >2.99</td>\n",
+ " <td id=\"T_67d2d_row5_col4\" class=\"data row5 col4\" >85.62</td>\n",
+ " <td id=\"T_67d2d_row5_col5\" class=\"data row5 col5\" >6.34</td>\n",
+ " <td id=\"T_67d2d_row5_col6\" class=\"data row5 col6\" >96.23</td>\n",
+ " <td id=\"T_67d2d_row5_col7\" class=\"data row5 col7\" >4.96</td>\n",
+ " <td id=\"T_67d2d_row5_col8\" class=\"data row5 col8\" >1.23</td>\n",
+ " <td id=\"T_67d2d_row5_col9\" class=\"data row5 col9\" >0.15</td>\n",
+ " <td id=\"T_67d2d_row5_col10\" class=\"data row5 col10\" >10.31</td>\n",
+ " <td id=\"T_67d2d_row5_col11\" class=\"data row5 col11\" >1.80</td>\n",
+ " <td id=\"T_67d2d_row5_col12\" class=\"data row5 col12\" >69.38</td>\n",
+ " <td id=\"T_67d2d_row5_col13\" class=\"data row5 col13\" >6.22</td>\n",
+ " <td id=\"T_67d2d_row5_col14\" class=\"data row5 col14\" >0.75</td>\n",
+ " <td id=\"T_67d2d_row5_col15\" class=\"data row5 col15\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_67d2d_row6_col0\" class=\"data row6 col0\" >10.25</td>\n",
+ " <td id=\"T_67d2d_row6_col1\" class=\"data row6 col1\" >2.48</td>\n",
+ " <td id=\"T_67d2d_row6_col2\" class=\"data row6 col2\" >14.96</td>\n",
+ " <td id=\"T_67d2d_row6_col3\" class=\"data row6 col3\" >3.18</td>\n",
+ " <td id=\"T_67d2d_row6_col4\" class=\"data row6 col4\" >86.42</td>\n",
+ " <td id=\"T_67d2d_row6_col5\" class=\"data row6 col5\" >6.50</td>\n",
+ " <td id=\"T_67d2d_row6_col6\" class=\"data row6 col6\" >95.48</td>\n",
+ " <td id=\"T_67d2d_row6_col7\" class=\"data row6 col7\" >6.63</td>\n",
+ " <td id=\"T_67d2d_row6_col8\" class=\"data row6 col8\" >1.22</td>\n",
+ " <td id=\"T_67d2d_row6_col9\" class=\"data row6 col9\" >0.15</td>\n",
+ " <td id=\"T_67d2d_row6_col10\" class=\"data row6 col10\" >10.41</td>\n",
+ " <td id=\"T_67d2d_row6_col11\" class=\"data row6 col11\" >1.95</td>\n",
+ " <td id=\"T_67d2d_row6_col12\" class=\"data row6 col12\" >68.04</td>\n",
+ " <td id=\"T_67d2d_row6_col13\" class=\"data row6 col13\" >6.48</td>\n",
+ " <td id=\"T_67d2d_row6_col14\" class=\"data row6 col14\" >0.75</td>\n",
+ " <td id=\"T_67d2d_row6_col15\" class=\"data row6 col15\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_67d2d_row7_col0\" class=\"data row7 col0\" >10.88</td>\n",
+ " <td id=\"T_67d2d_row7_col1\" class=\"data row7 col1\" >2.48</td>\n",
+ " <td id=\"T_67d2d_row7_col2\" class=\"data row7 col2\" >14.79</td>\n",
+ " <td id=\"T_67d2d_row7_col3\" class=\"data row7 col3\" >2.77</td>\n",
+ " <td id=\"T_67d2d_row7_col4\" class=\"data row7 col4\" >85.83</td>\n",
+ " <td id=\"T_67d2d_row7_col5\" class=\"data row7 col5\" >6.38</td>\n",
+ " <td id=\"T_67d2d_row7_col6\" class=\"data row7 col6\" >96.17</td>\n",
+ " <td id=\"T_67d2d_row7_col7\" class=\"data row7 col7\" >5.11</td>\n",
+ " <td id=\"T_67d2d_row7_col8\" class=\"data row7 col8\" >1.23</td>\n",
+ " <td id=\"T_67d2d_row7_col9\" class=\"data row7 col9\" >0.16</td>\n",
+ " <td id=\"T_67d2d_row7_col10\" class=\"data row7 col10\" >10.63</td>\n",
+ " <td id=\"T_67d2d_row7_col11\" class=\"data row7 col11\" >1.94</td>\n",
+ " <td id=\"T_67d2d_row7_col12\" class=\"data row7 col12\" >68.32</td>\n",
+ " <td id=\"T_67d2d_row7_col13\" class=\"data row7 col13\" >6.10</td>\n",
+ " <td id=\"T_67d2d_row7_col14\" class=\"data row7 col14\" >0.77</td>\n",
+ " <td id=\"T_67d2d_row7_col15\" class=\"data row7 col15\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_67d2d_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_67d2d_row8_col0\" class=\"data row8 col0\" >32.33</td>\n",
+ " <td id=\"T_67d2d_row8_col1\" class=\"data row8 col1\" >3.82</td>\n",
+ " <td id=\"T_67d2d_row8_col2\" class=\"data row8 col2\" >30.43</td>\n",
+ " <td id=\"T_67d2d_row8_col3\" class=\"data row8 col3\" >3.46</td>\n",
+ " <td id=\"T_67d2d_row8_col4\" class=\"data row8 col4\" >90.31</td>\n",
+ " <td id=\"T_67d2d_row8_col5\" class=\"data row8 col5\" >3.24</td>\n",
+ " <td id=\"T_67d2d_row8_col6\" class=\"data row8 col6\" >96.78</td>\n",
+ " <td id=\"T_67d2d_row8_col7\" class=\"data row8 col7\" >2.94</td>\n",
+ " <td id=\"T_67d2d_row8_col8\" class=\"data row8 col8\" >1.42</td>\n",
+ " <td id=\"T_67d2d_row8_col9\" class=\"data row8 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row8_col10\" class=\"data row8 col10\" >6.65</td>\n",
+ " <td id=\"T_67d2d_row8_col11\" class=\"data row8 col11\" >2.36</td>\n",
+ " <td id=\"T_67d2d_row8_col12\" class=\"data row8 col12\" >22.49</td>\n",
+ " <td id=\"T_67d2d_row8_col13\" class=\"data row8 col13\" >6.90</td>\n",
+ " <td id=\"T_67d2d_row8_col14\" class=\"data row8 col14\" >0.48</td>\n",
+ " <td id=\"T_67d2d_row8_col15\" class=\"data row8 col15\" >0.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_67d2d_row9_col0\" class=\"data row9 col0\" >32.89</td>\n",
+ " <td id=\"T_67d2d_row9_col1\" class=\"data row9 col1\" >3.19</td>\n",
+ " <td id=\"T_67d2d_row9_col2\" class=\"data row9 col2\" >30.07</td>\n",
+ " <td id=\"T_67d2d_row9_col3\" class=\"data row9 col3\" >4.00</td>\n",
+ " <td id=\"T_67d2d_row9_col4\" class=\"data row9 col4\" >89.69</td>\n",
+ " <td id=\"T_67d2d_row9_col5\" class=\"data row9 col5\" >3.96</td>\n",
+ " <td id=\"T_67d2d_row9_col6\" class=\"data row9 col6\" >97.28</td>\n",
+ " <td id=\"T_67d2d_row9_col7\" class=\"data row9 col7\" >2.81</td>\n",
+ " <td id=\"T_67d2d_row9_col8\" class=\"data row9 col8\" >1.42</td>\n",
+ " <td id=\"T_67d2d_row9_col9\" class=\"data row9 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row9_col10\" class=\"data row9 col10\" >6.66</td>\n",
+ " <td id=\"T_67d2d_row9_col11\" class=\"data row9 col11\" >2.02</td>\n",
+ " <td id=\"T_67d2d_row9_col12\" class=\"data row9 col12\" >22.02</td>\n",
+ " <td id=\"T_67d2d_row9_col13\" class=\"data row9 col13\" >6.24</td>\n",
+ " <td id=\"T_67d2d_row9_col14\" class=\"data row9 col14\" >0.48</td>\n",
+ " <td id=\"T_67d2d_row9_col15\" class=\"data row9 col15\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_67d2d_row10_col0\" class=\"data row10 col0\" >5.25</td>\n",
+ " <td id=\"T_67d2d_row10_col1\" class=\"data row10 col1\" >1.53</td>\n",
+ " <td id=\"T_67d2d_row10_col2\" class=\"data row10 col2\" >8.26</td>\n",
+ " <td id=\"T_67d2d_row10_col3\" class=\"data row10 col3\" >2.36</td>\n",
+ " <td id=\"T_67d2d_row10_col4\" class=\"data row10 col4\" >77.59</td>\n",
+ " <td id=\"T_67d2d_row10_col5\" class=\"data row10 col5\" >9.92</td>\n",
+ " <td id=\"T_67d2d_row10_col6\" class=\"data row10 col6\" >93.91</td>\n",
+ " <td id=\"T_67d2d_row10_col7\" class=\"data row10 col7\" >10.66</td>\n",
+ " <td id=\"T_67d2d_row10_col8\" class=\"data row10 col8\" >1.28</td>\n",
+ " <td id=\"T_67d2d_row10_col9\" class=\"data row10 col9\" >0.22</td>\n",
+ " <td id=\"T_67d2d_row10_col10\" class=\"data row10 col10\" >5.00</td>\n",
+ " <td id=\"T_67d2d_row10_col11\" class=\"data row10 col11\" >1.28</td>\n",
+ " <td id=\"T_67d2d_row10_col12\" class=\"data row10 col12\" >82.96</td>\n",
+ " <td id=\"T_67d2d_row10_col13\" class=\"data row10 col13\" >4.43</td>\n",
+ " <td id=\"T_67d2d_row10_col14\" class=\"data row10 col14\" >0.36</td>\n",
+ " <td id=\"T_67d2d_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_67d2d_row11_col0\" class=\"data row11 col0\" >5.45</td>\n",
+ " <td id=\"T_67d2d_row11_col1\" class=\"data row11 col1\" >1.84</td>\n",
+ " <td id=\"T_67d2d_row11_col2\" class=\"data row11 col2\" >8.40</td>\n",
+ " <td id=\"T_67d2d_row11_col3\" class=\"data row11 col3\" >2.17</td>\n",
+ " <td id=\"T_67d2d_row11_col4\" class=\"data row11 col4\" >79.95</td>\n",
+ " <td id=\"T_67d2d_row11_col5\" class=\"data row11 col5\" >9.52</td>\n",
+ " <td id=\"T_67d2d_row11_col6\" class=\"data row11 col6\" >94.76</td>\n",
+ " <td id=\"T_67d2d_row11_col7\" class=\"data row11 col7\" >8.13</td>\n",
+ " <td id=\"T_67d2d_row11_col8\" class=\"data row11 col8\" >1.24</td>\n",
+ " <td id=\"T_67d2d_row11_col9\" class=\"data row11 col9\" >0.21</td>\n",
+ " <td id=\"T_67d2d_row11_col10\" class=\"data row11 col10\" >5.22</td>\n",
+ " <td id=\"T_67d2d_row11_col11\" class=\"data row11 col11\" >1.45</td>\n",
+ " <td id=\"T_67d2d_row11_col12\" class=\"data row11 col12\" >82.33</td>\n",
+ " <td id=\"T_67d2d_row11_col13\" class=\"data row11 col13\" >4.75</td>\n",
+ " <td id=\"T_67d2d_row11_col14\" class=\"data row11 col14\" >0.38</td>\n",
+ " <td id=\"T_67d2d_row11_col15\" class=\"data row11 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_67d2d_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_67d2d_row12_col0\" class=\"data row12 col0\" >24.18</td>\n",
+ " <td id=\"T_67d2d_row12_col1\" class=\"data row12 col1\" >3.27</td>\n",
+ " <td id=\"T_67d2d_row12_col2\" class=\"data row12 col2\" >23.83</td>\n",
+ " <td id=\"T_67d2d_row12_col3\" class=\"data row12 col3\" >3.22</td>\n",
+ " <td id=\"T_67d2d_row12_col4\" class=\"data row12 col4\" >90.00</td>\n",
+ " <td id=\"T_67d2d_row12_col5\" class=\"data row12 col5\" >3.96</td>\n",
+ " <td id=\"T_67d2d_row12_col6\" class=\"data row12 col6\" >97.12</td>\n",
+ " <td id=\"T_67d2d_row12_col7\" class=\"data row12 col7\" >3.90</td>\n",
+ " <td id=\"T_67d2d_row12_col8\" class=\"data row12 col8\" >1.27</td>\n",
+ " <td id=\"T_67d2d_row12_col9\" class=\"data row12 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row12_col10\" class=\"data row12 col10\" >2.22</td>\n",
+ " <td id=\"T_67d2d_row12_col11\" class=\"data row12 col11\" >0.91</td>\n",
+ " <td id=\"T_67d2d_row12_col12\" class=\"data row12 col12\" >39.49</td>\n",
+ " <td id=\"T_67d2d_row12_col13\" class=\"data row12 col13\" >6.87</td>\n",
+ " <td id=\"T_67d2d_row12_col14\" class=\"data row12 col14\" >0.16</td>\n",
+ " <td id=\"T_67d2d_row12_col15\" class=\"data row12 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_67d2d_row13_col0\" class=\"data row13 col0\" >24.36</td>\n",
+ " <td id=\"T_67d2d_row13_col1\" class=\"data row13 col1\" >3.41</td>\n",
+ " <td id=\"T_67d2d_row13_col2\" class=\"data row13 col2\" >23.87</td>\n",
+ " <td id=\"T_67d2d_row13_col3\" class=\"data row13 col3\" >3.46</td>\n",
+ " <td id=\"T_67d2d_row13_col4\" class=\"data row13 col4\" >90.22</td>\n",
+ " <td id=\"T_67d2d_row13_col5\" class=\"data row13 col5\" >4.92</td>\n",
+ " <td id=\"T_67d2d_row13_col6\" class=\"data row13 col6\" >97.30</td>\n",
+ " <td id=\"T_67d2d_row13_col7\" class=\"data row13 col7\" >3.09</td>\n",
+ " <td id=\"T_67d2d_row13_col8\" class=\"data row13 col8\" >1.28</td>\n",
+ " <td id=\"T_67d2d_row13_col9\" class=\"data row13 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row13_col10\" class=\"data row13 col10\" >1.93</td>\n",
+ " <td id=\"T_67d2d_row13_col11\" class=\"data row13 col11\" >0.84</td>\n",
+ " <td id=\"T_67d2d_row13_col12\" class=\"data row13 col12\" >41.01</td>\n",
+ " <td id=\"T_67d2d_row13_col13\" class=\"data row13 col13\" >6.67</td>\n",
+ " <td id=\"T_67d2d_row13_col14\" class=\"data row13 col14\" >0.14</td>\n",
+ " <td id=\"T_67d2d_row13_col15\" class=\"data row13 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_67d2d_row14_col0\" class=\"data row14 col0\" >23.84</td>\n",
+ " <td id=\"T_67d2d_row14_col1\" class=\"data row14 col1\" >3.54</td>\n",
+ " <td id=\"T_67d2d_row14_col2\" class=\"data row14 col2\" >23.35</td>\n",
+ " <td id=\"T_67d2d_row14_col3\" class=\"data row14 col3\" >3.01</td>\n",
+ " <td id=\"T_67d2d_row14_col4\" class=\"data row14 col4\" >90.59</td>\n",
+ " <td id=\"T_67d2d_row14_col5\" class=\"data row14 col5\" >4.42</td>\n",
+ " <td id=\"T_67d2d_row14_col6\" class=\"data row14 col6\" >97.55</td>\n",
+ " <td id=\"T_67d2d_row14_col7\" class=\"data row14 col7\" >2.83</td>\n",
+ " <td id=\"T_67d2d_row14_col8\" class=\"data row14 col8\" >1.27</td>\n",
+ " <td id=\"T_67d2d_row14_col9\" class=\"data row14 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row14_col10\" class=\"data row14 col10\" >1.88</td>\n",
+ " <td id=\"T_67d2d_row14_col11\" class=\"data row14 col11\" >0.78</td>\n",
+ " <td id=\"T_67d2d_row14_col12\" class=\"data row14 col12\" >39.28</td>\n",
+ " <td id=\"T_67d2d_row14_col13\" class=\"data row14 col13\" >7.49</td>\n",
+ " <td id=\"T_67d2d_row14_col14\" class=\"data row14 col14\" >0.14</td>\n",
+ " <td id=\"T_67d2d_row14_col15\" class=\"data row14 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_67d2d_row15_col0\" class=\"data row15 col0\" >3.58</td>\n",
+ " <td id=\"T_67d2d_row15_col1\" class=\"data row15 col1\" >1.55</td>\n",
+ " <td id=\"T_67d2d_row15_col2\" class=\"data row15 col2\" >5.69</td>\n",
+ " <td id=\"T_67d2d_row15_col3\" class=\"data row15 col3\" >2.03</td>\n",
+ " <td id=\"T_67d2d_row15_col4\" class=\"data row15 col4\" >72.24</td>\n",
+ " <td id=\"T_67d2d_row15_col5\" class=\"data row15 col5\" >12.95</td>\n",
+ " <td id=\"T_67d2d_row15_col6\" class=\"data row15 col6\" >92.87</td>\n",
+ " <td id=\"T_67d2d_row15_col7\" class=\"data row15 col7\" >15.31</td>\n",
+ " <td id=\"T_67d2d_row15_col8\" class=\"data row15 col8\" >1.28</td>\n",
+ " <td id=\"T_67d2d_row15_col9\" class=\"data row15 col9\" >0.29</td>\n",
+ " <td id=\"T_67d2d_row15_col10\" class=\"data row15 col10\" >3.19</td>\n",
+ " <td id=\"T_67d2d_row15_col11\" class=\"data row15 col11\" >1.17</td>\n",
+ " <td id=\"T_67d2d_row15_col12\" class=\"data row15 col12\" >88.26</td>\n",
+ " <td id=\"T_67d2d_row15_col13\" class=\"data row15 col13\" >4.35</td>\n",
+ " <td id=\"T_67d2d_row15_col14\" class=\"data row15 col14\" >0.23</td>\n",
+ " <td id=\"T_67d2d_row15_col15\" class=\"data row15 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_67d2d_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_67d2d_row16_col0\" class=\"data row16 col0\" >18.45</td>\n",
+ " <td id=\"T_67d2d_row16_col1\" class=\"data row16 col1\" >2.98</td>\n",
+ " <td id=\"T_67d2d_row16_col2\" class=\"data row16 col2\" >19.43</td>\n",
+ " <td id=\"T_67d2d_row16_col3\" class=\"data row16 col3\" >2.93</td>\n",
+ " <td id=\"T_67d2d_row16_col4\" class=\"data row16 col4\" >89.30</td>\n",
+ " <td id=\"T_67d2d_row16_col5\" class=\"data row16 col5\" >4.75</td>\n",
+ " <td id=\"T_67d2d_row16_col6\" class=\"data row16 col6\" >96.91</td>\n",
+ " <td id=\"T_67d2d_row16_col7\" class=\"data row16 col7\" >3.21</td>\n",
+ " <td id=\"T_67d2d_row16_col8\" class=\"data row16 col8\" >1.21</td>\n",
+ " <td id=\"T_67d2d_row16_col9\" class=\"data row16 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row16_col10\" class=\"data row16 col10\" >0.87</td>\n",
+ " <td id=\"T_67d2d_row16_col11\" class=\"data row16 col11\" >0.51</td>\n",
+ " <td id=\"T_67d2d_row16_col12\" class=\"data row16 col12\" >51.68</td>\n",
+ " <td id=\"T_67d2d_row16_col13\" class=\"data row16 col13\" >6.48</td>\n",
+ " <td id=\"T_67d2d_row16_col14\" class=\"data row16 col14\" >0.06</td>\n",
+ " <td id=\"T_67d2d_row16_col15\" class=\"data row16 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_67d2d_row17_col0\" class=\"data row17 col0\" >19.19</td>\n",
+ " <td id=\"T_67d2d_row17_col1\" class=\"data row17 col1\" >2.81</td>\n",
+ " <td id=\"T_67d2d_row17_col2\" class=\"data row17 col2\" >18.40</td>\n",
+ " <td id=\"T_67d2d_row17_col3\" class=\"data row17 col3\" >2.75</td>\n",
+ " <td id=\"T_67d2d_row17_col4\" class=\"data row17 col4\" >90.11</td>\n",
+ " <td id=\"T_67d2d_row17_col5\" class=\"data row17 col5\" >4.07</td>\n",
+ " <td id=\"T_67d2d_row17_col6\" class=\"data row17 col6\" >97.07</td>\n",
+ " <td id=\"T_67d2d_row17_col7\" class=\"data row17 col7\" >4.15</td>\n",
+ " <td id=\"T_67d2d_row17_col8\" class=\"data row17 col8\" >1.20</td>\n",
+ " <td id=\"T_67d2d_row17_col9\" class=\"data row17 col9\" >0.11</td>\n",
+ " <td id=\"T_67d2d_row17_col10\" class=\"data row17 col10\" >0.88</td>\n",
+ " <td id=\"T_67d2d_row17_col11\" class=\"data row17 col11\" >0.61</td>\n",
+ " <td id=\"T_67d2d_row17_col12\" class=\"data row17 col12\" >52.60</td>\n",
+ " <td id=\"T_67d2d_row17_col13\" class=\"data row17 col13\" >6.96</td>\n",
+ " <td id=\"T_67d2d_row17_col14\" class=\"data row17 col14\" >0.06</td>\n",
+ " <td id=\"T_67d2d_row17_col15\" class=\"data row17 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_67d2d_row18_col0\" class=\"data row18 col0\" >19.06</td>\n",
+ " <td id=\"T_67d2d_row18_col1\" class=\"data row18 col1\" >2.98</td>\n",
+ " <td id=\"T_67d2d_row18_col2\" class=\"data row18 col2\" >18.89</td>\n",
+ " <td id=\"T_67d2d_row18_col3\" class=\"data row18 col3\" >2.97</td>\n",
+ " <td id=\"T_67d2d_row18_col4\" class=\"data row18 col4\" >89.70</td>\n",
+ " <td id=\"T_67d2d_row18_col5\" class=\"data row18 col5\" >4.94</td>\n",
+ " <td id=\"T_67d2d_row18_col6\" class=\"data row18 col6\" >97.76</td>\n",
+ " <td id=\"T_67d2d_row18_col7\" class=\"data row18 col7\" >3.18</td>\n",
+ " <td id=\"T_67d2d_row18_col8\" class=\"data row18 col8\" >1.20</td>\n",
+ " <td id=\"T_67d2d_row18_col9\" class=\"data row18 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row18_col10\" class=\"data row18 col10\" >0.89</td>\n",
+ " <td id=\"T_67d2d_row18_col11\" class=\"data row18 col11\" >0.53</td>\n",
+ " <td id=\"T_67d2d_row18_col12\" class=\"data row18 col12\" >51.33</td>\n",
+ " <td id=\"T_67d2d_row18_col13\" class=\"data row18 col13\" >6.86</td>\n",
+ " <td id=\"T_67d2d_row18_col14\" class=\"data row18 col14\" >0.06</td>\n",
+ " <td id=\"T_67d2d_row18_col15\" class=\"data row18 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67d2d_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_67d2d_row19_col0\" class=\"data row19 col0\" >19.02</td>\n",
+ " <td id=\"T_67d2d_row19_col1\" class=\"data row19 col1\" >2.94</td>\n",
+ " <td id=\"T_67d2d_row19_col2\" class=\"data row19 col2\" >19.69</td>\n",
+ " <td id=\"T_67d2d_row19_col3\" class=\"data row19 col3\" >2.89</td>\n",
+ " <td id=\"T_67d2d_row19_col4\" class=\"data row19 col4\" >89.33</td>\n",
+ " <td id=\"T_67d2d_row19_col5\" class=\"data row19 col5\" >5.04</td>\n",
+ " <td id=\"T_67d2d_row19_col6\" class=\"data row19 col6\" >97.50</td>\n",
+ " <td id=\"T_67d2d_row19_col7\" class=\"data row19 col7\" >3.05</td>\n",
+ " <td id=\"T_67d2d_row19_col8\" class=\"data row19 col8\" >1.22</td>\n",
+ " <td id=\"T_67d2d_row19_col9\" class=\"data row19 col9\" >0.10</td>\n",
+ " <td id=\"T_67d2d_row19_col10\" class=\"data row19 col10\" >0.97</td>\n",
+ " <td id=\"T_67d2d_row19_col11\" class=\"data row19 col11\" >0.56</td>\n",
+ " <td id=\"T_67d2d_row19_col12\" class=\"data row19 col12\" >51.65</td>\n",
+ " <td id=\"T_67d2d_row19_col13\" class=\"data row19 col13\" >6.10</td>\n",
+ " <td id=\"T_67d2d_row19_col14\" class=\"data row19 col14\" >0.07</td>\n",
+ " <td id=\"T_67d2d_row19_col15\" class=\"data row19 col15\" >0.04</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7a4a581d3b10>"
+ "<pandas.io.formats.style.Styler at 0x700ff2b66390>"
]
},
"metadata": {},
@@ -956,451 +958,451 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_f9677 td {\n",
+ "#T_62fa5 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f9677 th {\n",
+ "#T_62fa5 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f9677_row4_col0, #T_f9677_row4_col2, #T_f9677_row4_col10, #T_f9677_row4_col12, #T_f9677_row4_col14, #T_f9677_row6_col8, #T_f9677_row8_col6, #T_f9677_row9_col4 {\n",
+ "#T_62fa5_row4_col0, #T_62fa5_row4_col2, #T_62fa5_row4_col10, #T_62fa5_row4_col12, #T_62fa5_row4_col14, #T_62fa5_row6_col8, #T_62fa5_row8_col6, #T_62fa5_row9_col4 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_f9677\">\n",
+ "<table id=\"T_62fa5\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_f9677_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_f9677_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_f9677_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_62fa5_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_62fa5_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_62fa5_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_f9677_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_f9677_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_f9677_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_f9677_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_f9677_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_f9677_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_f9677_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_f9677_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_62fa5_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_62fa5_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_62fa5_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_62fa5_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_62fa5_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_62fa5_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_62fa5_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_62fa5_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_f9677_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_f9677_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_f9677_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_f9677_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_f9677_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_f9677_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_f9677_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_f9677_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_f9677_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_62fa5_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_62fa5_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_f9677_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_f9677_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_f9677_row0_col0\" class=\"data row0 col0\" >20.15</td>\n",
- " <td id=\"T_f9677_row0_col1\" class=\"data row0 col1\" >3.97</td>\n",
- " <td id=\"T_f9677_row0_col2\" class=\"data row0 col2\" >20.18</td>\n",
- " <td id=\"T_f9677_row0_col3\" class=\"data row0 col3\" >3.94</td>\n",
- " <td id=\"T_f9677_row0_col4\" class=\"data row0 col4\" >89.20</td>\n",
- " <td id=\"T_f9677_row0_col5\" class=\"data row0 col5\" >6.34</td>\n",
- " <td id=\"T_f9677_row0_col6\" class=\"data row0 col6\" >97.37</td>\n",
- " <td id=\"T_f9677_row0_col7\" class=\"data row0 col7\" >5.44</td>\n",
- " <td id=\"T_f9677_row0_col8\" class=\"data row0 col8\" >1.12</td>\n",
- " <td id=\"T_f9677_row0_col9\" class=\"data row0 col9\" >0.11</td>\n",
- " <td id=\"T_f9677_row0_col10\" class=\"data row0 col10\" >9.18</td>\n",
- " <td id=\"T_f9677_row0_col11\" class=\"data row0 col11\" >1.42</td>\n",
- " <td id=\"T_f9677_row0_col12\" class=\"data row0 col12\" >73.39</td>\n",
- " <td id=\"T_f9677_row0_col13\" class=\"data row0 col13\" >5.67</td>\n",
- " <td id=\"T_f9677_row0_col14\" class=\"data row0 col14\" >0.66</td>\n",
- " <td id=\"T_f9677_row0_col15\" class=\"data row0 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_f9677_row1_col0\" class=\"data row1 col0\" >19.68</td>\n",
- " <td id=\"T_f9677_row1_col1\" class=\"data row1 col1\" >4.16</td>\n",
- " <td id=\"T_f9677_row1_col2\" class=\"data row1 col2\" >19.93</td>\n",
- " <td id=\"T_f9677_row1_col3\" class=\"data row1 col3\" >4.47</td>\n",
- " <td id=\"T_f9677_row1_col4\" class=\"data row1 col4\" >90.20</td>\n",
- " <td id=\"T_f9677_row1_col5\" class=\"data row1 col5\" >7.97</td>\n",
- " <td id=\"T_f9677_row1_col6\" class=\"data row1 col6\" >98.01</td>\n",
- " <td id=\"T_f9677_row1_col7\" class=\"data row1 col7\" >4.09</td>\n",
- " <td id=\"T_f9677_row1_col8\" class=\"data row1 col8\" >1.13</td>\n",
- " <td id=\"T_f9677_row1_col9\" class=\"data row1 col9\" >0.11</td>\n",
- " <td id=\"T_f9677_row1_col10\" class=\"data row1 col10\" >8.85</td>\n",
- " <td id=\"T_f9677_row1_col11\" class=\"data row1 col11\" >1.69</td>\n",
- " <td id=\"T_f9677_row1_col12\" class=\"data row1 col12\" >74.23</td>\n",
- " <td id=\"T_f9677_row1_col13\" class=\"data row1 col13\" >5.21</td>\n",
- " <td id=\"T_f9677_row1_col14\" class=\"data row1 col14\" >0.64</td>\n",
- " <td id=\"T_f9677_row1_col15\" class=\"data row1 col15\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_f9677_row2_col0\" class=\"data row2 col0\" >19.43</td>\n",
- " <td id=\"T_f9677_row2_col1\" class=\"data row2 col1\" >4.59</td>\n",
- " <td id=\"T_f9677_row2_col2\" class=\"data row2 col2\" >19.95</td>\n",
- " <td id=\"T_f9677_row2_col3\" class=\"data row2 col3\" >4.23</td>\n",
- " <td id=\"T_f9677_row2_col4\" class=\"data row2 col4\" >89.63</td>\n",
- " <td id=\"T_f9677_row2_col5\" class=\"data row2 col5\" >6.50</td>\n",
- " <td id=\"T_f9677_row2_col6\" class=\"data row2 col6\" >97.95</td>\n",
- " <td id=\"T_f9677_row2_col7\" class=\"data row2 col7\" >4.04</td>\n",
- " <td id=\"T_f9677_row2_col8\" class=\"data row2 col8\" >1.13</td>\n",
- " <td id=\"T_f9677_row2_col9\" class=\"data row2 col9\" >0.15</td>\n",
- " <td id=\"T_f9677_row2_col10\" class=\"data row2 col10\" >8.91</td>\n",
- " <td id=\"T_f9677_row2_col11\" class=\"data row2 col11\" >1.69</td>\n",
- " <td id=\"T_f9677_row2_col12\" class=\"data row2 col12\" >74.48</td>\n",
- " <td id=\"T_f9677_row2_col13\" class=\"data row2 col13\" >5.54</td>\n",
- " <td id=\"T_f9677_row2_col14\" class=\"data row2 col14\" >0.64</td>\n",
- " <td id=\"T_f9677_row2_col15\" class=\"data row2 col15\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_f9677_row3_col0\" class=\"data row3 col0\" >19.27</td>\n",
- " <td id=\"T_f9677_row3_col1\" class=\"data row3 col1\" >3.87</td>\n",
- " <td id=\"T_f9677_row3_col2\" class=\"data row3 col2\" >19.51</td>\n",
- " <td id=\"T_f9677_row3_col3\" class=\"data row3 col3\" >3.67</td>\n",
- " <td id=\"T_f9677_row3_col4\" class=\"data row3 col4\" >90.08</td>\n",
- " <td id=\"T_f9677_row3_col5\" class=\"data row3 col5\" >7.41</td>\n",
- " <td id=\"T_f9677_row3_col6\" class=\"data row3 col6\" >95.82</td>\n",
- " <td id=\"T_f9677_row3_col7\" class=\"data row3 col7\" >8.17</td>\n",
- " <td id=\"T_f9677_row3_col8\" class=\"data row3 col8\" >1.13</td>\n",
- " <td id=\"T_f9677_row3_col9\" class=\"data row3 col9\" >0.12</td>\n",
- " <td id=\"T_f9677_row3_col10\" class=\"data row3 col10\" >8.82</td>\n",
- " <td id=\"T_f9677_row3_col11\" class=\"data row3 col11\" >1.45</td>\n",
- " <td id=\"T_f9677_row3_col12\" class=\"data row3 col12\" >74.73</td>\n",
- " <td id=\"T_f9677_row3_col13\" class=\"data row3 col13\" >4.55</td>\n",
- " <td id=\"T_f9677_row3_col14\" class=\"data row3 col14\" >0.64</td>\n",
- " <td id=\"T_f9677_row3_col15\" class=\"data row3 col15\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
- " <th id=\"T_f9677_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_f9677_row4_col0\" class=\"data row4 col0\" >60.94</td>\n",
- " <td id=\"T_f9677_row4_col1\" class=\"data row4 col1\" >5.21</td>\n",
- " <td id=\"T_f9677_row4_col2\" class=\"data row4 col2\" >51.84</td>\n",
- " <td id=\"T_f9677_row4_col3\" class=\"data row4 col3\" >5.48</td>\n",
- " <td id=\"T_f9677_row4_col4\" class=\"data row4 col4\" >90.39</td>\n",
- " <td id=\"T_f9677_row4_col5\" class=\"data row4 col5\" >4.02</td>\n",
- " <td id=\"T_f9677_row4_col6\" class=\"data row4 col6\" >96.87</td>\n",
- " <td id=\"T_f9677_row4_col7\" class=\"data row4 col7\" >3.35</td>\n",
- " <td id=\"T_f9677_row4_col8\" class=\"data row4 col8\" >1.40</td>\n",
- " <td id=\"T_f9677_row4_col9\" class=\"data row4 col9\" >0.10</td>\n",
- " <td id=\"T_f9677_row4_col10\" class=\"data row4 col10\" >25.62</td>\n",
- " <td id=\"T_f9677_row4_col11\" class=\"data row4 col11\" >2.41</td>\n",
- " <td id=\"T_f9677_row4_col12\" class=\"data row4 col12\" >28.77</td>\n",
- " <td id=\"T_f9677_row4_col13\" class=\"data row4 col13\" >5.71</td>\n",
- " <td id=\"T_f9677_row4_col14\" class=\"data row4 col14\" >1.85</td>\n",
- " <td id=\"T_f9677_row4_col15\" class=\"data row4 col15\" >0.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_f9677_row5_col0\" class=\"data row5 col0\" >5.92</td>\n",
- " <td id=\"T_f9677_row5_col1\" class=\"data row5 col1\" >2.34</td>\n",
- " <td id=\"T_f9677_row5_col2\" class=\"data row5 col2\" >9.34</td>\n",
- " <td id=\"T_f9677_row5_col3\" class=\"data row5 col3\" >3.40</td>\n",
- " <td id=\"T_f9677_row5_col4\" class=\"data row5 col4\" >80.62</td>\n",
- " <td id=\"T_f9677_row5_col5\" class=\"data row5 col5\" >13.74</td>\n",
- " <td id=\"T_f9677_row5_col6\" class=\"data row5 col6\" >94.54</td>\n",
- " <td id=\"T_f9677_row5_col7\" class=\"data row5 col7\" >13.60</td>\n",
- " <td id=\"T_f9677_row5_col8\" class=\"data row5 col8\" >1.14</td>\n",
- " <td id=\"T_f9677_row5_col9\" class=\"data row5 col9\" >0.19</td>\n",
- " <td id=\"T_f9677_row5_col10\" class=\"data row5 col10\" >3.10</td>\n",
- " <td id=\"T_f9677_row5_col11\" class=\"data row5 col11\" >0.99</td>\n",
- " <td id=\"T_f9677_row5_col12\" class=\"data row5 col12\" >89.88</td>\n",
- " <td id=\"T_f9677_row5_col13\" class=\"data row5 col13\" >3.64</td>\n",
- " <td id=\"T_f9677_row5_col14\" class=\"data row5 col14\" >0.22</td>\n",
- " <td id=\"T_f9677_row5_col15\" class=\"data row5 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_f9677_row6_col0\" class=\"data row6 col0\" >6.00</td>\n",
- " <td id=\"T_f9677_row6_col1\" class=\"data row6 col1\" >2.41</td>\n",
- " <td id=\"T_f9677_row6_col2\" class=\"data row6 col2\" >9.05</td>\n",
- " <td id=\"T_f9677_row6_col3\" class=\"data row6 col3\" >3.14</td>\n",
- " <td id=\"T_f9677_row6_col4\" class=\"data row6 col4\" >81.56</td>\n",
- " <td id=\"T_f9677_row6_col5\" class=\"data row6 col5\" >12.03</td>\n",
- " <td id=\"T_f9677_row6_col6\" class=\"data row6 col6\" >96.31</td>\n",
- " <td id=\"T_f9677_row6_col7\" class=\"data row6 col7\" >9.29</td>\n",
- " <td id=\"T_f9677_row6_col8\" class=\"data row6 col8\" >1.11</td>\n",
- " <td id=\"T_f9677_row6_col9\" class=\"data row6 col9\" >0.14</td>\n",
- " <td id=\"T_f9677_row6_col10\" class=\"data row6 col10\" >2.99</td>\n",
- " <td id=\"T_f9677_row6_col11\" class=\"data row6 col11\" >1.00</td>\n",
- " <td id=\"T_f9677_row6_col12\" class=\"data row6 col12\" >90.37</td>\n",
- " <td id=\"T_f9677_row6_col13\" class=\"data row6 col13\" >3.30</td>\n",
- " <td id=\"T_f9677_row6_col14\" class=\"data row6 col14\" >0.22</td>\n",
- " <td id=\"T_f9677_row6_col15\" class=\"data row6 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_f9677_row7_col0\" class=\"data row7 col0\" >5.88</td>\n",
- " <td id=\"T_f9677_row7_col1\" class=\"data row7 col1\" >2.71</td>\n",
- " <td id=\"T_f9677_row7_col2\" class=\"data row7 col2\" >9.64</td>\n",
- " <td id=\"T_f9677_row7_col3\" class=\"data row7 col3\" >3.38</td>\n",
- " <td id=\"T_f9677_row7_col4\" class=\"data row7 col4\" >82.58</td>\n",
- " <td id=\"T_f9677_row7_col5\" class=\"data row7 col5\" >13.44</td>\n",
- " <td id=\"T_f9677_row7_col6\" class=\"data row7 col6\" >91.62</td>\n",
- " <td id=\"T_f9677_row7_col7\" class=\"data row7 col7\" >16.58</td>\n",
- " <td id=\"T_f9677_row7_col8\" class=\"data row7 col8\" >1.21</td>\n",
- " <td id=\"T_f9677_row7_col9\" class=\"data row7 col9\" >0.32</td>\n",
- " <td id=\"T_f9677_row7_col10\" class=\"data row7 col10\" >3.06</td>\n",
- " <td id=\"T_f9677_row7_col11\" class=\"data row7 col11\" >1.14</td>\n",
- " <td id=\"T_f9677_row7_col12\" class=\"data row7 col12\" >90.18</td>\n",
- " <td id=\"T_f9677_row7_col13\" class=\"data row7 col13\" >3.84</td>\n",
- " <td id=\"T_f9677_row7_col14\" class=\"data row7 col14\" >0.22</td>\n",
- " <td id=\"T_f9677_row7_col15\" class=\"data row7 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
- " <th id=\"T_f9677_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_f9677_row8_col0\" class=\"data row8 col0\" >36.79</td>\n",
- " <td id=\"T_f9677_row8_col1\" class=\"data row8 col1\" >5.23</td>\n",
- " <td id=\"T_f9677_row8_col2\" class=\"data row8 col2\" >35.55</td>\n",
- " <td id=\"T_f9677_row8_col3\" class=\"data row8 col3\" >4.92</td>\n",
- " <td id=\"T_f9677_row8_col4\" class=\"data row8 col4\" >90.23</td>\n",
- " <td id=\"T_f9677_row8_col5\" class=\"data row8 col5\" >5.06</td>\n",
- " <td id=\"T_f9677_row8_col6\" class=\"data row8 col6\" >98.04</td>\n",
- " <td id=\"T_f9677_row8_col7\" class=\"data row8 col7\" >2.31</td>\n",
- " <td id=\"T_f9677_row8_col8\" class=\"data row8 col8\" >1.21</td>\n",
- " <td id=\"T_f9677_row8_col9\" class=\"data row8 col9\" >0.10</td>\n",
- " <td id=\"T_f9677_row8_col10\" class=\"data row8 col10\" >2.39</td>\n",
- " <td id=\"T_f9677_row8_col11\" class=\"data row8 col11\" >1.08</td>\n",
- " <td id=\"T_f9677_row8_col12\" class=\"data row8 col12\" >53.22</td>\n",
- " <td id=\"T_f9677_row8_col13\" class=\"data row8 col13\" >6.04</td>\n",
- " <td id=\"T_f9677_row8_col14\" class=\"data row8 col14\" >0.17</td>\n",
- " <td id=\"T_f9677_row8_col15\" class=\"data row8 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_f9677_row9_col0\" class=\"data row9 col0\" >36.54</td>\n",
- " <td id=\"T_f9677_row9_col1\" class=\"data row9 col1\" >5.02</td>\n",
- " <td id=\"T_f9677_row9_col2\" class=\"data row9 col2\" >35.73</td>\n",
- " <td id=\"T_f9677_row9_col3\" class=\"data row9 col3\" >5.20</td>\n",
- " <td id=\"T_f9677_row9_col4\" class=\"data row9 col4\" >91.11</td>\n",
- " <td id=\"T_f9677_row9_col5\" class=\"data row9 col5\" >4.66</td>\n",
- " <td id=\"T_f9677_row9_col6\" class=\"data row9 col6\" >97.27</td>\n",
- " <td id=\"T_f9677_row9_col7\" class=\"data row9 col7\" >4.18</td>\n",
- " <td id=\"T_f9677_row9_col8\" class=\"data row9 col8\" >1.22</td>\n",
- " <td id=\"T_f9677_row9_col9\" class=\"data row9 col9\" >0.10</td>\n",
- " <td id=\"T_f9677_row9_col10\" class=\"data row9 col10\" >2.61</td>\n",
- " <td id=\"T_f9677_row9_col11\" class=\"data row9 col11\" >1.20</td>\n",
- " <td id=\"T_f9677_row9_col12\" class=\"data row9 col12\" >53.70</td>\n",
- " <td id=\"T_f9677_row9_col13\" class=\"data row9 col13\" >6.15</td>\n",
- " <td id=\"T_f9677_row9_col14\" class=\"data row9 col14\" >0.19</td>\n",
- " <td id=\"T_f9677_row9_col15\" class=\"data row9 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_f9677_row10_col0\" class=\"data row10 col0\" >2.55</td>\n",
- " <td id=\"T_f9677_row10_col1\" class=\"data row10 col1\" >1.71</td>\n",
- " <td id=\"T_f9677_row10_col2\" class=\"data row10 col2\" >4.38</td>\n",
- " <td id=\"T_f9677_row10_col3\" class=\"data row10 col3\" >2.10</td>\n",
- " <td id=\"T_f9677_row10_col4\" class=\"data row10 col4\" >64.98</td>\n",
- " <td id=\"T_f9677_row10_col5\" class=\"data row10 col5\" >25.36</td>\n",
- " <td id=\"T_f9677_row10_col6\" class=\"data row10 col6\" >81.26</td>\n",
- " <td id=\"T_f9677_row10_col7\" class=\"data row10 col7\" >35.09</td>\n",
- " <td id=\"T_f9677_row10_col8\" class=\"data row10 col8\" >1.17</td>\n",
- " <td id=\"T_f9677_row10_col9\" class=\"data row10 col9\" >0.32</td>\n",
- " <td id=\"T_f9677_row10_col10\" class=\"data row10 col10\" >1.16</td>\n",
- " <td id=\"T_f9677_row10_col11\" class=\"data row10 col11\" >0.64</td>\n",
- " <td id=\"T_f9677_row10_col12\" class=\"data row10 col12\" >95.54</td>\n",
- " <td id=\"T_f9677_row10_col13\" class=\"data row10 col13\" >2.58</td>\n",
- " <td id=\"T_f9677_row10_col14\" class=\"data row10 col14\" >0.08</td>\n",
- " <td id=\"T_f9677_row10_col15\" class=\"data row10 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_f9677_row11_col0\" class=\"data row11 col0\" >2.85</td>\n",
- " <td id=\"T_f9677_row11_col1\" class=\"data row11 col1\" >1.84</td>\n",
- " <td id=\"T_f9677_row11_col2\" class=\"data row11 col2\" >4.19</td>\n",
- " <td id=\"T_f9677_row11_col3\" class=\"data row11 col3\" >2.59</td>\n",
- " <td id=\"T_f9677_row11_col4\" class=\"data row11 col4\" >67.02</td>\n",
- " <td id=\"T_f9677_row11_col5\" class=\"data row11 col5\" >27.19</td>\n",
- " <td id=\"T_f9677_row11_col6\" class=\"data row11 col6\" >79.70</td>\n",
- " <td id=\"T_f9677_row11_col7\" class=\"data row11 col7\" >36.24</td>\n",
- " <td id=\"T_f9677_row11_col8\" class=\"data row11 col8\" >1.21</td>\n",
- " <td id=\"T_f9677_row11_col9\" class=\"data row11 col9\" >0.50</td>\n",
- " <td id=\"T_f9677_row11_col10\" class=\"data row11 col10\" >1.24</td>\n",
- " <td id=\"T_f9677_row11_col11\" class=\"data row11 col11\" >0.73</td>\n",
- " <td id=\"T_f9677_row11_col12\" class=\"data row11 col12\" >95.62</td>\n",
- " <td id=\"T_f9677_row11_col13\" class=\"data row11 col13\" >2.32</td>\n",
- " <td id=\"T_f9677_row11_col14\" class=\"data row11 col14\" >0.09</td>\n",
- " <td id=\"T_f9677_row11_col15\" class=\"data row11 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
- " <th id=\"T_f9677_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_f9677_row12_col0\" class=\"data row12 col0\" >25.91</td>\n",
- " <td id=\"T_f9677_row12_col1\" class=\"data row12 col1\" >4.83</td>\n",
- " <td id=\"T_f9677_row12_col2\" class=\"data row12 col2\" >25.48</td>\n",
- " <td id=\"T_f9677_row12_col3\" class=\"data row12 col3\" >4.99</td>\n",
- " <td id=\"T_f9677_row12_col4\" class=\"data row12 col4\" >90.24</td>\n",
- " <td id=\"T_f9677_row12_col5\" class=\"data row12 col5\" >6.98</td>\n",
- " <td id=\"T_f9677_row12_col6\" class=\"data row12 col6\" >97.64</td>\n",
- " <td id=\"T_f9677_row12_col7\" class=\"data row12 col7\" >3.99</td>\n",
- " <td id=\"T_f9677_row12_col8\" class=\"data row12 col8\" >1.16</td>\n",
- " <td id=\"T_f9677_row12_col9\" class=\"data row12 col9\" >0.11</td>\n",
- " <td id=\"T_f9677_row12_col10\" class=\"data row12 col10\" >0.64</td>\n",
- " <td id=\"T_f9677_row12_col11\" class=\"data row12 col11\" >0.48</td>\n",
- " <td id=\"T_f9677_row12_col12\" class=\"data row12 col12\" >66.10</td>\n",
- " <td id=\"T_f9677_row12_col13\" class=\"data row12 col13\" >6.57</td>\n",
- " <td id=\"T_f9677_row12_col14\" class=\"data row12 col14\" >0.05</td>\n",
- " <td id=\"T_f9677_row12_col15\" class=\"data row12 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_f9677_row13_col0\" class=\"data row13 col0\" >25.52</td>\n",
- " <td id=\"T_f9677_row13_col1\" class=\"data row13 col1\" >4.12</td>\n",
- " <td id=\"T_f9677_row13_col2\" class=\"data row13 col2\" >25.82</td>\n",
- " <td id=\"T_f9677_row13_col3\" class=\"data row13 col3\" >4.59</td>\n",
- " <td id=\"T_f9677_row13_col4\" class=\"data row13 col4\" >90.99</td>\n",
- " <td id=\"T_f9677_row13_col5\" class=\"data row13 col5\" >5.20</td>\n",
- " <td id=\"T_f9677_row13_col6\" class=\"data row13 col6\" >97.17</td>\n",
- " <td id=\"T_f9677_row13_col7\" class=\"data row13 col7\" >5.41</td>\n",
- " <td id=\"T_f9677_row13_col8\" class=\"data row13 col8\" >1.16</td>\n",
- " <td id=\"T_f9677_row13_col9\" class=\"data row13 col9\" >0.10</td>\n",
- " <td id=\"T_f9677_row13_col10\" class=\"data row13 col10\" >0.62</td>\n",
- " <td id=\"T_f9677_row13_col11\" class=\"data row13 col11\" >0.48</td>\n",
- " <td id=\"T_f9677_row13_col12\" class=\"data row13 col12\" >66.28</td>\n",
- " <td id=\"T_f9677_row13_col13\" class=\"data row13 col13\" >5.89</td>\n",
- " <td id=\"T_f9677_row13_col14\" class=\"data row13 col14\" >0.04</td>\n",
- " <td id=\"T_f9677_row13_col15\" class=\"data row13 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_f9677_row14_col0\" class=\"data row14 col0\" >25.73</td>\n",
- " <td id=\"T_f9677_row14_col1\" class=\"data row14 col1\" >4.75</td>\n",
- " <td id=\"T_f9677_row14_col2\" class=\"data row14 col2\" >26.06</td>\n",
- " <td id=\"T_f9677_row14_col3\" class=\"data row14 col3\" >5.06</td>\n",
- " <td id=\"T_f9677_row14_col4\" class=\"data row14 col4\" >88.64</td>\n",
- " <td id=\"T_f9677_row14_col5\" class=\"data row14 col5\" >7.09</td>\n",
- " <td id=\"T_f9677_row14_col6\" class=\"data row14 col6\" >97.37</td>\n",
- " <td id=\"T_f9677_row14_col7\" class=\"data row14 col7\" >4.97</td>\n",
- " <td id=\"T_f9677_row14_col8\" class=\"data row14 col8\" >1.17</td>\n",
- " <td id=\"T_f9677_row14_col9\" class=\"data row14 col9\" >0.12</td>\n",
- " <td id=\"T_f9677_row14_col10\" class=\"data row14 col10\" >0.62</td>\n",
- " <td id=\"T_f9677_row14_col11\" class=\"data row14 col11\" >0.56</td>\n",
- " <td id=\"T_f9677_row14_col12\" class=\"data row14 col12\" >67.34</td>\n",
- " <td id=\"T_f9677_row14_col13\" class=\"data row14 col13\" >5.42</td>\n",
- " <td id=\"T_f9677_row14_col14\" class=\"data row14 col14\" >0.05</td>\n",
- " <td id=\"T_f9677_row14_col15\" class=\"data row14 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_f9677_row15_col0\" class=\"data row15 col0\" >1.64</td>\n",
- " <td id=\"T_f9677_row15_col1\" class=\"data row15 col1\" >1.48</td>\n",
- " <td id=\"T_f9677_row15_col2\" class=\"data row15 col2\" >2.45</td>\n",
- " <td id=\"T_f9677_row15_col3\" class=\"data row15 col3\" >1.60</td>\n",
- " <td id=\"T_f9677_row15_col4\" class=\"data row15 col4\" >59.84</td>\n",
- " <td id=\"T_f9677_row15_col5\" class=\"data row15 col5\" >32.49</td>\n",
- " <td id=\"T_f9677_row15_col6\" class=\"data row15 col6\" >61.37</td>\n",
- " <td id=\"T_f9677_row15_col7\" class=\"data row15 col7\" >45.82</td>\n",
- " <td id=\"T_f9677_row15_col8\" class=\"data row15 col8\" >1.15</td>\n",
- " <td id=\"T_f9677_row15_col9\" class=\"data row15 col9\" >0.34</td>\n",
- " <td id=\"T_f9677_row15_col10\" class=\"data row15 col10\" >0.67</td>\n",
- " <td id=\"T_f9677_row15_col11\" class=\"data row15 col11\" >0.46</td>\n",
- " <td id=\"T_f9677_row15_col12\" class=\"data row15 col12\" >97.41</td>\n",
- " <td id=\"T_f9677_row15_col13\" class=\"data row15 col13\" >1.69</td>\n",
- " <td id=\"T_f9677_row15_col14\" class=\"data row15 col14\" >0.05</td>\n",
- " <td id=\"T_f9677_row15_col15\" class=\"data row15 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
- " <th id=\"T_f9677_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_f9677_row16_col0\" class=\"data row16 col0\" >20.15</td>\n",
- " <td id=\"T_f9677_row16_col1\" class=\"data row16 col1\" >3.97</td>\n",
- " <td id=\"T_f9677_row16_col2\" class=\"data row16 col2\" >20.18</td>\n",
- " <td id=\"T_f9677_row16_col3\" class=\"data row16 col3\" >3.94</td>\n",
- " <td id=\"T_f9677_row16_col4\" class=\"data row16 col4\" >89.20</td>\n",
- " <td id=\"T_f9677_row16_col5\" class=\"data row16 col5\" >6.34</td>\n",
- " <td id=\"T_f9677_row16_col6\" class=\"data row16 col6\" >97.37</td>\n",
- " <td id=\"T_f9677_row16_col7\" class=\"data row16 col7\" >5.44</td>\n",
- " <td id=\"T_f9677_row16_col8\" class=\"data row16 col8\" >1.12</td>\n",
- " <td id=\"T_f9677_row16_col9\" class=\"data row16 col9\" >0.11</td>\n",
- " <td id=\"T_f9677_row16_col10\" class=\"data row16 col10\" >0.24</td>\n",
- " <td id=\"T_f9677_row16_col11\" class=\"data row16 col11\" >0.26</td>\n",
- " <td id=\"T_f9677_row16_col12\" class=\"data row16 col12\" >73.39</td>\n",
- " <td id=\"T_f9677_row16_col13\" class=\"data row16 col13\" >5.67</td>\n",
- " <td id=\"T_f9677_row16_col14\" class=\"data row16 col14\" >0.02</td>\n",
- " <td id=\"T_f9677_row16_col15\" class=\"data row16 col15\" >0.02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_f9677_row17_col0\" class=\"data row17 col0\" >19.68</td>\n",
- " <td id=\"T_f9677_row17_col1\" class=\"data row17 col1\" >4.16</td>\n",
- " <td id=\"T_f9677_row17_col2\" class=\"data row17 col2\" >19.93</td>\n",
- " <td id=\"T_f9677_row17_col3\" class=\"data row17 col3\" >4.47</td>\n",
- " <td id=\"T_f9677_row17_col4\" class=\"data row17 col4\" >90.20</td>\n",
- " <td id=\"T_f9677_row17_col5\" class=\"data row17 col5\" >7.97</td>\n",
- " <td id=\"T_f9677_row17_col6\" class=\"data row17 col6\" >98.01</td>\n",
- " <td id=\"T_f9677_row17_col7\" class=\"data row17 col7\" >4.09</td>\n",
- " <td id=\"T_f9677_row17_col8\" class=\"data row17 col8\" >1.13</td>\n",
- " <td id=\"T_f9677_row17_col9\" class=\"data row17 col9\" >0.11</td>\n",
- " <td id=\"T_f9677_row17_col10\" class=\"data row17 col10\" >0.19</td>\n",
- " <td id=\"T_f9677_row17_col11\" class=\"data row17 col11\" >0.26</td>\n",
- " <td id=\"T_f9677_row17_col12\" class=\"data row17 col12\" >74.23</td>\n",
- " <td id=\"T_f9677_row17_col13\" class=\"data row17 col13\" >5.21</td>\n",
- " <td id=\"T_f9677_row17_col14\" class=\"data row17 col14\" >0.01</td>\n",
- " <td id=\"T_f9677_row17_col15\" class=\"data row17 col15\" >0.02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_f9677_row18_col0\" class=\"data row18 col0\" >19.43</td>\n",
- " <td id=\"T_f9677_row18_col1\" class=\"data row18 col1\" >4.59</td>\n",
- " <td id=\"T_f9677_row18_col2\" class=\"data row18 col2\" >19.95</td>\n",
- " <td id=\"T_f9677_row18_col3\" class=\"data row18 col3\" >4.23</td>\n",
- " <td id=\"T_f9677_row18_col4\" class=\"data row18 col4\" >89.63</td>\n",
- " <td id=\"T_f9677_row18_col5\" class=\"data row18 col5\" >6.50</td>\n",
- " <td id=\"T_f9677_row18_col6\" class=\"data row18 col6\" >97.95</td>\n",
- " <td id=\"T_f9677_row18_col7\" class=\"data row18 col7\" >4.04</td>\n",
- " <td id=\"T_f9677_row18_col8\" class=\"data row18 col8\" >1.13</td>\n",
- " <td id=\"T_f9677_row18_col9\" class=\"data row18 col9\" >0.15</td>\n",
- " <td id=\"T_f9677_row18_col10\" class=\"data row18 col10\" >0.22</td>\n",
- " <td id=\"T_f9677_row18_col11\" class=\"data row18 col11\" >0.24</td>\n",
- " <td id=\"T_f9677_row18_col12\" class=\"data row18 col12\" >74.48</td>\n",
- " <td id=\"T_f9677_row18_col13\" class=\"data row18 col13\" >5.54</td>\n",
- " <td id=\"T_f9677_row18_col14\" class=\"data row18 col14\" >0.02</td>\n",
- " <td id=\"T_f9677_row18_col15\" class=\"data row18 col15\" >0.02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f9677_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_f9677_row19_col0\" class=\"data row19 col0\" >19.27</td>\n",
- " <td id=\"T_f9677_row19_col1\" class=\"data row19 col1\" >3.87</td>\n",
- " <td id=\"T_f9677_row19_col2\" class=\"data row19 col2\" >19.51</td>\n",
- " <td id=\"T_f9677_row19_col3\" class=\"data row19 col3\" >3.67</td>\n",
- " <td id=\"T_f9677_row19_col4\" class=\"data row19 col4\" >90.08</td>\n",
- " <td id=\"T_f9677_row19_col5\" class=\"data row19 col5\" >7.41</td>\n",
- " <td id=\"T_f9677_row19_col6\" class=\"data row19 col6\" >95.82</td>\n",
- " <td id=\"T_f9677_row19_col7\" class=\"data row19 col7\" >8.17</td>\n",
- " <td id=\"T_f9677_row19_col8\" class=\"data row19 col8\" >1.13</td>\n",
- " <td id=\"T_f9677_row19_col9\" class=\"data row19 col9\" >0.12</td>\n",
- " <td id=\"T_f9677_row19_col10\" class=\"data row19 col10\" >0.22</td>\n",
- " <td id=\"T_f9677_row19_col11\" class=\"data row19 col11\" >0.27</td>\n",
- " <td id=\"T_f9677_row19_col12\" class=\"data row19 col12\" >74.73</td>\n",
- " <td id=\"T_f9677_row19_col13\" class=\"data row19 col13\" >4.55</td>\n",
- " <td id=\"T_f9677_row19_col14\" class=\"data row19 col14\" >0.02</td>\n",
- " <td id=\"T_f9677_row19_col15\" class=\"data row19 col15\" >0.02</td>\n",
+ " <th id=\"T_62fa5_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_62fa5_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_62fa5_row0_col0\" class=\"data row0 col0\" >20.15</td>\n",
+ " <td id=\"T_62fa5_row0_col1\" class=\"data row0 col1\" >3.97</td>\n",
+ " <td id=\"T_62fa5_row0_col2\" class=\"data row0 col2\" >20.18</td>\n",
+ " <td id=\"T_62fa5_row0_col3\" class=\"data row0 col3\" >3.94</td>\n",
+ " <td id=\"T_62fa5_row0_col4\" class=\"data row0 col4\" >89.20</td>\n",
+ " <td id=\"T_62fa5_row0_col5\" class=\"data row0 col5\" >6.34</td>\n",
+ " <td id=\"T_62fa5_row0_col6\" class=\"data row0 col6\" >97.37</td>\n",
+ " <td id=\"T_62fa5_row0_col7\" class=\"data row0 col7\" >5.44</td>\n",
+ " <td id=\"T_62fa5_row0_col8\" class=\"data row0 col8\" >1.12</td>\n",
+ " <td id=\"T_62fa5_row0_col9\" class=\"data row0 col9\" >0.11</td>\n",
+ " <td id=\"T_62fa5_row0_col10\" class=\"data row0 col10\" >9.18</td>\n",
+ " <td id=\"T_62fa5_row0_col11\" class=\"data row0 col11\" >1.42</td>\n",
+ " <td id=\"T_62fa5_row0_col12\" class=\"data row0 col12\" >73.39</td>\n",
+ " <td id=\"T_62fa5_row0_col13\" class=\"data row0 col13\" >5.67</td>\n",
+ " <td id=\"T_62fa5_row0_col14\" class=\"data row0 col14\" >0.66</td>\n",
+ " <td id=\"T_62fa5_row0_col15\" class=\"data row0 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_62fa5_row1_col0\" class=\"data row1 col0\" >19.68</td>\n",
+ " <td id=\"T_62fa5_row1_col1\" class=\"data row1 col1\" >4.16</td>\n",
+ " <td id=\"T_62fa5_row1_col2\" class=\"data row1 col2\" >19.93</td>\n",
+ " <td id=\"T_62fa5_row1_col3\" class=\"data row1 col3\" >4.47</td>\n",
+ " <td id=\"T_62fa5_row1_col4\" class=\"data row1 col4\" >90.20</td>\n",
+ " <td id=\"T_62fa5_row1_col5\" class=\"data row1 col5\" >7.97</td>\n",
+ " <td id=\"T_62fa5_row1_col6\" class=\"data row1 col6\" >98.01</td>\n",
+ " <td id=\"T_62fa5_row1_col7\" class=\"data row1 col7\" >4.09</td>\n",
+ " <td id=\"T_62fa5_row1_col8\" class=\"data row1 col8\" >1.13</td>\n",
+ " <td id=\"T_62fa5_row1_col9\" class=\"data row1 col9\" >0.11</td>\n",
+ " <td id=\"T_62fa5_row1_col10\" class=\"data row1 col10\" >8.85</td>\n",
+ " <td id=\"T_62fa5_row1_col11\" class=\"data row1 col11\" >1.69</td>\n",
+ " <td id=\"T_62fa5_row1_col12\" class=\"data row1 col12\" >74.23</td>\n",
+ " <td id=\"T_62fa5_row1_col13\" class=\"data row1 col13\" >5.21</td>\n",
+ " <td id=\"T_62fa5_row1_col14\" class=\"data row1 col14\" >0.64</td>\n",
+ " <td id=\"T_62fa5_row1_col15\" class=\"data row1 col15\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_62fa5_row2_col0\" class=\"data row2 col0\" >19.43</td>\n",
+ " <td id=\"T_62fa5_row2_col1\" class=\"data row2 col1\" >4.59</td>\n",
+ " <td id=\"T_62fa5_row2_col2\" class=\"data row2 col2\" >19.95</td>\n",
+ " <td id=\"T_62fa5_row2_col3\" class=\"data row2 col3\" >4.23</td>\n",
+ " <td id=\"T_62fa5_row2_col4\" class=\"data row2 col4\" >89.63</td>\n",
+ " <td id=\"T_62fa5_row2_col5\" class=\"data row2 col5\" >6.50</td>\n",
+ " <td id=\"T_62fa5_row2_col6\" class=\"data row2 col6\" >97.95</td>\n",
+ " <td id=\"T_62fa5_row2_col7\" class=\"data row2 col7\" >4.04</td>\n",
+ " <td id=\"T_62fa5_row2_col8\" class=\"data row2 col8\" >1.13</td>\n",
+ " <td id=\"T_62fa5_row2_col9\" class=\"data row2 col9\" >0.15</td>\n",
+ " <td id=\"T_62fa5_row2_col10\" class=\"data row2 col10\" >8.91</td>\n",
+ " <td id=\"T_62fa5_row2_col11\" class=\"data row2 col11\" >1.69</td>\n",
+ " <td id=\"T_62fa5_row2_col12\" class=\"data row2 col12\" >74.48</td>\n",
+ " <td id=\"T_62fa5_row2_col13\" class=\"data row2 col13\" >5.54</td>\n",
+ " <td id=\"T_62fa5_row2_col14\" class=\"data row2 col14\" >0.64</td>\n",
+ " <td id=\"T_62fa5_row2_col15\" class=\"data row2 col15\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_62fa5_row3_col0\" class=\"data row3 col0\" >19.27</td>\n",
+ " <td id=\"T_62fa5_row3_col1\" class=\"data row3 col1\" >3.87</td>\n",
+ " <td id=\"T_62fa5_row3_col2\" class=\"data row3 col2\" >19.51</td>\n",
+ " <td id=\"T_62fa5_row3_col3\" class=\"data row3 col3\" >3.67</td>\n",
+ " <td id=\"T_62fa5_row3_col4\" class=\"data row3 col4\" >90.08</td>\n",
+ " <td id=\"T_62fa5_row3_col5\" class=\"data row3 col5\" >7.41</td>\n",
+ " <td id=\"T_62fa5_row3_col6\" class=\"data row3 col6\" >95.82</td>\n",
+ " <td id=\"T_62fa5_row3_col7\" class=\"data row3 col7\" >8.17</td>\n",
+ " <td id=\"T_62fa5_row3_col8\" class=\"data row3 col8\" >1.13</td>\n",
+ " <td id=\"T_62fa5_row3_col9\" class=\"data row3 col9\" >0.12</td>\n",
+ " <td id=\"T_62fa5_row3_col10\" class=\"data row3 col10\" >8.82</td>\n",
+ " <td id=\"T_62fa5_row3_col11\" class=\"data row3 col11\" >1.45</td>\n",
+ " <td id=\"T_62fa5_row3_col12\" class=\"data row3 col12\" >74.73</td>\n",
+ " <td id=\"T_62fa5_row3_col13\" class=\"data row3 col13\" >4.55</td>\n",
+ " <td id=\"T_62fa5_row3_col14\" class=\"data row3 col14\" >0.64</td>\n",
+ " <td id=\"T_62fa5_row3_col15\" class=\"data row3 col15\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_62fa5_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_62fa5_row4_col0\" class=\"data row4 col0\" >60.94</td>\n",
+ " <td id=\"T_62fa5_row4_col1\" class=\"data row4 col1\" >5.21</td>\n",
+ " <td id=\"T_62fa5_row4_col2\" class=\"data row4 col2\" >51.84</td>\n",
+ " <td id=\"T_62fa5_row4_col3\" class=\"data row4 col3\" >5.48</td>\n",
+ " <td id=\"T_62fa5_row4_col4\" class=\"data row4 col4\" >90.39</td>\n",
+ " <td id=\"T_62fa5_row4_col5\" class=\"data row4 col5\" >4.02</td>\n",
+ " <td id=\"T_62fa5_row4_col6\" class=\"data row4 col6\" >96.87</td>\n",
+ " <td id=\"T_62fa5_row4_col7\" class=\"data row4 col7\" >3.35</td>\n",
+ " <td id=\"T_62fa5_row4_col8\" class=\"data row4 col8\" >1.40</td>\n",
+ " <td id=\"T_62fa5_row4_col9\" class=\"data row4 col9\" >0.10</td>\n",
+ " <td id=\"T_62fa5_row4_col10\" class=\"data row4 col10\" >25.62</td>\n",
+ " <td id=\"T_62fa5_row4_col11\" class=\"data row4 col11\" >2.41</td>\n",
+ " <td id=\"T_62fa5_row4_col12\" class=\"data row4 col12\" >28.77</td>\n",
+ " <td id=\"T_62fa5_row4_col13\" class=\"data row4 col13\" >5.71</td>\n",
+ " <td id=\"T_62fa5_row4_col14\" class=\"data row4 col14\" >1.85</td>\n",
+ " <td id=\"T_62fa5_row4_col15\" class=\"data row4 col15\" >0.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_62fa5_row5_col0\" class=\"data row5 col0\" >5.92</td>\n",
+ " <td id=\"T_62fa5_row5_col1\" class=\"data row5 col1\" >2.34</td>\n",
+ " <td id=\"T_62fa5_row5_col2\" class=\"data row5 col2\" >9.34</td>\n",
+ " <td id=\"T_62fa5_row5_col3\" class=\"data row5 col3\" >3.40</td>\n",
+ " <td id=\"T_62fa5_row5_col4\" class=\"data row5 col4\" >80.62</td>\n",
+ " <td id=\"T_62fa5_row5_col5\" class=\"data row5 col5\" >13.74</td>\n",
+ " <td id=\"T_62fa5_row5_col6\" class=\"data row5 col6\" >94.54</td>\n",
+ " <td id=\"T_62fa5_row5_col7\" class=\"data row5 col7\" >13.60</td>\n",
+ " <td id=\"T_62fa5_row5_col8\" class=\"data row5 col8\" >1.14</td>\n",
+ " <td id=\"T_62fa5_row5_col9\" class=\"data row5 col9\" >0.19</td>\n",
+ " <td id=\"T_62fa5_row5_col10\" class=\"data row5 col10\" >3.10</td>\n",
+ " <td id=\"T_62fa5_row5_col11\" class=\"data row5 col11\" >0.99</td>\n",
+ " <td id=\"T_62fa5_row5_col12\" class=\"data row5 col12\" >89.88</td>\n",
+ " <td id=\"T_62fa5_row5_col13\" class=\"data row5 col13\" >3.64</td>\n",
+ " <td id=\"T_62fa5_row5_col14\" class=\"data row5 col14\" >0.22</td>\n",
+ " <td id=\"T_62fa5_row5_col15\" class=\"data row5 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_62fa5_row6_col0\" class=\"data row6 col0\" >6.00</td>\n",
+ " <td id=\"T_62fa5_row6_col1\" class=\"data row6 col1\" >2.41</td>\n",
+ " <td id=\"T_62fa5_row6_col2\" class=\"data row6 col2\" >9.05</td>\n",
+ " <td id=\"T_62fa5_row6_col3\" class=\"data row6 col3\" >3.14</td>\n",
+ " <td id=\"T_62fa5_row6_col4\" class=\"data row6 col4\" >81.56</td>\n",
+ " <td id=\"T_62fa5_row6_col5\" class=\"data row6 col5\" >12.03</td>\n",
+ " <td id=\"T_62fa5_row6_col6\" class=\"data row6 col6\" >96.31</td>\n",
+ " <td id=\"T_62fa5_row6_col7\" class=\"data row6 col7\" >9.29</td>\n",
+ " <td id=\"T_62fa5_row6_col8\" class=\"data row6 col8\" >1.11</td>\n",
+ " <td id=\"T_62fa5_row6_col9\" class=\"data row6 col9\" >0.14</td>\n",
+ " <td id=\"T_62fa5_row6_col10\" class=\"data row6 col10\" >2.99</td>\n",
+ " <td id=\"T_62fa5_row6_col11\" class=\"data row6 col11\" >1.00</td>\n",
+ " <td id=\"T_62fa5_row6_col12\" class=\"data row6 col12\" >90.37</td>\n",
+ " <td id=\"T_62fa5_row6_col13\" class=\"data row6 col13\" >3.30</td>\n",
+ " <td id=\"T_62fa5_row6_col14\" class=\"data row6 col14\" >0.22</td>\n",
+ " <td id=\"T_62fa5_row6_col15\" class=\"data row6 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_62fa5_row7_col0\" class=\"data row7 col0\" >5.88</td>\n",
+ " <td id=\"T_62fa5_row7_col1\" class=\"data row7 col1\" >2.71</td>\n",
+ " <td id=\"T_62fa5_row7_col2\" class=\"data row7 col2\" >9.64</td>\n",
+ " <td id=\"T_62fa5_row7_col3\" class=\"data row7 col3\" >3.38</td>\n",
+ " <td id=\"T_62fa5_row7_col4\" class=\"data row7 col4\" >82.58</td>\n",
+ " <td id=\"T_62fa5_row7_col5\" class=\"data row7 col5\" >13.44</td>\n",
+ " <td id=\"T_62fa5_row7_col6\" class=\"data row7 col6\" >91.62</td>\n",
+ " <td id=\"T_62fa5_row7_col7\" class=\"data row7 col7\" >16.58</td>\n",
+ " <td id=\"T_62fa5_row7_col8\" class=\"data row7 col8\" >1.21</td>\n",
+ " <td id=\"T_62fa5_row7_col9\" class=\"data row7 col9\" >0.32</td>\n",
+ " <td id=\"T_62fa5_row7_col10\" class=\"data row7 col10\" >3.06</td>\n",
+ " <td id=\"T_62fa5_row7_col11\" class=\"data row7 col11\" >1.14</td>\n",
+ " <td id=\"T_62fa5_row7_col12\" class=\"data row7 col12\" >90.18</td>\n",
+ " <td id=\"T_62fa5_row7_col13\" class=\"data row7 col13\" >3.84</td>\n",
+ " <td id=\"T_62fa5_row7_col14\" class=\"data row7 col14\" >0.22</td>\n",
+ " <td id=\"T_62fa5_row7_col15\" class=\"data row7 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_62fa5_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_62fa5_row8_col0\" class=\"data row8 col0\" >36.79</td>\n",
+ " <td id=\"T_62fa5_row8_col1\" class=\"data row8 col1\" >5.23</td>\n",
+ " <td id=\"T_62fa5_row8_col2\" class=\"data row8 col2\" >35.55</td>\n",
+ " <td id=\"T_62fa5_row8_col3\" class=\"data row8 col3\" >4.92</td>\n",
+ " <td id=\"T_62fa5_row8_col4\" class=\"data row8 col4\" >90.23</td>\n",
+ " <td id=\"T_62fa5_row8_col5\" class=\"data row8 col5\" >5.06</td>\n",
+ " <td id=\"T_62fa5_row8_col6\" class=\"data row8 col6\" >98.04</td>\n",
+ " <td id=\"T_62fa5_row8_col7\" class=\"data row8 col7\" >2.31</td>\n",
+ " <td id=\"T_62fa5_row8_col8\" class=\"data row8 col8\" >1.21</td>\n",
+ " <td id=\"T_62fa5_row8_col9\" class=\"data row8 col9\" >0.10</td>\n",
+ " <td id=\"T_62fa5_row8_col10\" class=\"data row8 col10\" >2.39</td>\n",
+ " <td id=\"T_62fa5_row8_col11\" class=\"data row8 col11\" >1.08</td>\n",
+ " <td id=\"T_62fa5_row8_col12\" class=\"data row8 col12\" >53.22</td>\n",
+ " <td id=\"T_62fa5_row8_col13\" class=\"data row8 col13\" >6.04</td>\n",
+ " <td id=\"T_62fa5_row8_col14\" class=\"data row8 col14\" >0.17</td>\n",
+ " <td id=\"T_62fa5_row8_col15\" class=\"data row8 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_62fa5_row9_col0\" class=\"data row9 col0\" >36.54</td>\n",
+ " <td id=\"T_62fa5_row9_col1\" class=\"data row9 col1\" >5.02</td>\n",
+ " <td id=\"T_62fa5_row9_col2\" class=\"data row9 col2\" >35.73</td>\n",
+ " <td id=\"T_62fa5_row9_col3\" class=\"data row9 col3\" >5.20</td>\n",
+ " <td id=\"T_62fa5_row9_col4\" class=\"data row9 col4\" >91.11</td>\n",
+ " <td id=\"T_62fa5_row9_col5\" class=\"data row9 col5\" >4.66</td>\n",
+ " <td id=\"T_62fa5_row9_col6\" class=\"data row9 col6\" >97.27</td>\n",
+ " <td id=\"T_62fa5_row9_col7\" class=\"data row9 col7\" >4.18</td>\n",
+ " <td id=\"T_62fa5_row9_col8\" class=\"data row9 col8\" >1.22</td>\n",
+ " <td id=\"T_62fa5_row9_col9\" class=\"data row9 col9\" >0.10</td>\n",
+ " <td id=\"T_62fa5_row9_col10\" class=\"data row9 col10\" >2.61</td>\n",
+ " <td id=\"T_62fa5_row9_col11\" class=\"data row9 col11\" >1.20</td>\n",
+ " <td id=\"T_62fa5_row9_col12\" class=\"data row9 col12\" >53.70</td>\n",
+ " <td id=\"T_62fa5_row9_col13\" class=\"data row9 col13\" >6.15</td>\n",
+ " <td id=\"T_62fa5_row9_col14\" class=\"data row9 col14\" >0.19</td>\n",
+ " <td id=\"T_62fa5_row9_col15\" class=\"data row9 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_62fa5_row10_col0\" class=\"data row10 col0\" >2.55</td>\n",
+ " <td id=\"T_62fa5_row10_col1\" class=\"data row10 col1\" >1.71</td>\n",
+ " <td id=\"T_62fa5_row10_col2\" class=\"data row10 col2\" >4.38</td>\n",
+ " <td id=\"T_62fa5_row10_col3\" class=\"data row10 col3\" >2.10</td>\n",
+ " <td id=\"T_62fa5_row10_col4\" class=\"data row10 col4\" >64.98</td>\n",
+ " <td id=\"T_62fa5_row10_col5\" class=\"data row10 col5\" >25.36</td>\n",
+ " <td id=\"T_62fa5_row10_col6\" class=\"data row10 col6\" >81.26</td>\n",
+ " <td id=\"T_62fa5_row10_col7\" class=\"data row10 col7\" >35.09</td>\n",
+ " <td id=\"T_62fa5_row10_col8\" class=\"data row10 col8\" >1.17</td>\n",
+ " <td id=\"T_62fa5_row10_col9\" class=\"data row10 col9\" >0.32</td>\n",
+ " <td id=\"T_62fa5_row10_col10\" class=\"data row10 col10\" >1.16</td>\n",
+ " <td id=\"T_62fa5_row10_col11\" class=\"data row10 col11\" >0.64</td>\n",
+ " <td id=\"T_62fa5_row10_col12\" class=\"data row10 col12\" >95.54</td>\n",
+ " <td id=\"T_62fa5_row10_col13\" class=\"data row10 col13\" >2.58</td>\n",
+ " <td id=\"T_62fa5_row10_col14\" class=\"data row10 col14\" >0.08</td>\n",
+ " <td id=\"T_62fa5_row10_col15\" class=\"data row10 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_62fa5_row11_col0\" class=\"data row11 col0\" >2.85</td>\n",
+ " <td id=\"T_62fa5_row11_col1\" class=\"data row11 col1\" >1.84</td>\n",
+ " <td id=\"T_62fa5_row11_col2\" class=\"data row11 col2\" >4.19</td>\n",
+ " <td id=\"T_62fa5_row11_col3\" class=\"data row11 col3\" >2.59</td>\n",
+ " <td id=\"T_62fa5_row11_col4\" class=\"data row11 col4\" >67.02</td>\n",
+ " <td id=\"T_62fa5_row11_col5\" class=\"data row11 col5\" >27.19</td>\n",
+ " <td id=\"T_62fa5_row11_col6\" class=\"data row11 col6\" >79.70</td>\n",
+ " <td id=\"T_62fa5_row11_col7\" class=\"data row11 col7\" >36.24</td>\n",
+ " <td id=\"T_62fa5_row11_col8\" class=\"data row11 col8\" >1.21</td>\n",
+ " <td id=\"T_62fa5_row11_col9\" class=\"data row11 col9\" >0.50</td>\n",
+ " <td id=\"T_62fa5_row11_col10\" class=\"data row11 col10\" >1.24</td>\n",
+ " <td id=\"T_62fa5_row11_col11\" class=\"data row11 col11\" >0.73</td>\n",
+ " <td id=\"T_62fa5_row11_col12\" class=\"data row11 col12\" >95.62</td>\n",
+ " <td id=\"T_62fa5_row11_col13\" class=\"data row11 col13\" >2.32</td>\n",
+ " <td id=\"T_62fa5_row11_col14\" class=\"data row11 col14\" >0.09</td>\n",
+ " <td id=\"T_62fa5_row11_col15\" class=\"data row11 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_62fa5_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_62fa5_row12_col0\" class=\"data row12 col0\" >25.91</td>\n",
+ " <td id=\"T_62fa5_row12_col1\" class=\"data row12 col1\" >4.83</td>\n",
+ " <td id=\"T_62fa5_row12_col2\" class=\"data row12 col2\" >25.48</td>\n",
+ " <td id=\"T_62fa5_row12_col3\" class=\"data row12 col3\" >4.99</td>\n",
+ " <td id=\"T_62fa5_row12_col4\" class=\"data row12 col4\" >90.24</td>\n",
+ " <td id=\"T_62fa5_row12_col5\" class=\"data row12 col5\" >6.98</td>\n",
+ " <td id=\"T_62fa5_row12_col6\" class=\"data row12 col6\" >97.64</td>\n",
+ " <td id=\"T_62fa5_row12_col7\" class=\"data row12 col7\" >3.99</td>\n",
+ " <td id=\"T_62fa5_row12_col8\" class=\"data row12 col8\" >1.16</td>\n",
+ " <td id=\"T_62fa5_row12_col9\" class=\"data row12 col9\" >0.11</td>\n",
+ " <td id=\"T_62fa5_row12_col10\" class=\"data row12 col10\" >0.64</td>\n",
+ " <td id=\"T_62fa5_row12_col11\" class=\"data row12 col11\" >0.48</td>\n",
+ " <td id=\"T_62fa5_row12_col12\" class=\"data row12 col12\" >66.10</td>\n",
+ " <td id=\"T_62fa5_row12_col13\" class=\"data row12 col13\" >6.57</td>\n",
+ " <td id=\"T_62fa5_row12_col14\" class=\"data row12 col14\" >0.05</td>\n",
+ " <td id=\"T_62fa5_row12_col15\" class=\"data row12 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_62fa5_row13_col0\" class=\"data row13 col0\" >25.52</td>\n",
+ " <td id=\"T_62fa5_row13_col1\" class=\"data row13 col1\" >4.12</td>\n",
+ " <td id=\"T_62fa5_row13_col2\" class=\"data row13 col2\" >25.82</td>\n",
+ " <td id=\"T_62fa5_row13_col3\" class=\"data row13 col3\" >4.59</td>\n",
+ " <td id=\"T_62fa5_row13_col4\" class=\"data row13 col4\" >90.99</td>\n",
+ " <td id=\"T_62fa5_row13_col5\" class=\"data row13 col5\" >5.20</td>\n",
+ " <td id=\"T_62fa5_row13_col6\" class=\"data row13 col6\" >97.17</td>\n",
+ " <td id=\"T_62fa5_row13_col7\" class=\"data row13 col7\" >5.41</td>\n",
+ " <td id=\"T_62fa5_row13_col8\" class=\"data row13 col8\" >1.16</td>\n",
+ " <td id=\"T_62fa5_row13_col9\" class=\"data row13 col9\" >0.10</td>\n",
+ " <td id=\"T_62fa5_row13_col10\" class=\"data row13 col10\" >0.62</td>\n",
+ " <td id=\"T_62fa5_row13_col11\" class=\"data row13 col11\" >0.48</td>\n",
+ " <td id=\"T_62fa5_row13_col12\" class=\"data row13 col12\" >66.28</td>\n",
+ " <td id=\"T_62fa5_row13_col13\" class=\"data row13 col13\" >5.89</td>\n",
+ " <td id=\"T_62fa5_row13_col14\" class=\"data row13 col14\" >0.04</td>\n",
+ " <td id=\"T_62fa5_row13_col15\" class=\"data row13 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_62fa5_row14_col0\" class=\"data row14 col0\" >25.73</td>\n",
+ " <td id=\"T_62fa5_row14_col1\" class=\"data row14 col1\" >4.75</td>\n",
+ " <td id=\"T_62fa5_row14_col2\" class=\"data row14 col2\" >26.06</td>\n",
+ " <td id=\"T_62fa5_row14_col3\" class=\"data row14 col3\" >5.06</td>\n",
+ " <td id=\"T_62fa5_row14_col4\" class=\"data row14 col4\" >88.64</td>\n",
+ " <td id=\"T_62fa5_row14_col5\" class=\"data row14 col5\" >7.09</td>\n",
+ " <td id=\"T_62fa5_row14_col6\" class=\"data row14 col6\" >97.37</td>\n",
+ " <td id=\"T_62fa5_row14_col7\" class=\"data row14 col7\" >4.97</td>\n",
+ " <td id=\"T_62fa5_row14_col8\" class=\"data row14 col8\" >1.17</td>\n",
+ " <td id=\"T_62fa5_row14_col9\" class=\"data row14 col9\" >0.12</td>\n",
+ " <td id=\"T_62fa5_row14_col10\" class=\"data row14 col10\" >0.62</td>\n",
+ " <td id=\"T_62fa5_row14_col11\" class=\"data row14 col11\" >0.56</td>\n",
+ " <td id=\"T_62fa5_row14_col12\" class=\"data row14 col12\" >67.34</td>\n",
+ " <td id=\"T_62fa5_row14_col13\" class=\"data row14 col13\" >5.42</td>\n",
+ " <td id=\"T_62fa5_row14_col14\" class=\"data row14 col14\" >0.05</td>\n",
+ " <td id=\"T_62fa5_row14_col15\" class=\"data row14 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_62fa5_row15_col0\" class=\"data row15 col0\" >1.64</td>\n",
+ " <td id=\"T_62fa5_row15_col1\" class=\"data row15 col1\" >1.48</td>\n",
+ " <td id=\"T_62fa5_row15_col2\" class=\"data row15 col2\" >2.45</td>\n",
+ " <td id=\"T_62fa5_row15_col3\" class=\"data row15 col3\" >1.60</td>\n",
+ " <td id=\"T_62fa5_row15_col4\" class=\"data row15 col4\" >59.84</td>\n",
+ " <td id=\"T_62fa5_row15_col5\" class=\"data row15 col5\" >32.49</td>\n",
+ " <td id=\"T_62fa5_row15_col6\" class=\"data row15 col6\" >61.37</td>\n",
+ " <td id=\"T_62fa5_row15_col7\" class=\"data row15 col7\" >45.82</td>\n",
+ " <td id=\"T_62fa5_row15_col8\" class=\"data row15 col8\" >1.15</td>\n",
+ " <td id=\"T_62fa5_row15_col9\" class=\"data row15 col9\" >0.34</td>\n",
+ " <td id=\"T_62fa5_row15_col10\" class=\"data row15 col10\" >0.67</td>\n",
+ " <td id=\"T_62fa5_row15_col11\" class=\"data row15 col11\" >0.46</td>\n",
+ " <td id=\"T_62fa5_row15_col12\" class=\"data row15 col12\" >97.41</td>\n",
+ " <td id=\"T_62fa5_row15_col13\" class=\"data row15 col13\" >1.69</td>\n",
+ " <td id=\"T_62fa5_row15_col14\" class=\"data row15 col14\" >0.05</td>\n",
+ " <td id=\"T_62fa5_row15_col15\" class=\"data row15 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_62fa5_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_62fa5_row16_col0\" class=\"data row16 col0\" >20.15</td>\n",
+ " <td id=\"T_62fa5_row16_col1\" class=\"data row16 col1\" >3.97</td>\n",
+ " <td id=\"T_62fa5_row16_col2\" class=\"data row16 col2\" >20.18</td>\n",
+ " <td id=\"T_62fa5_row16_col3\" class=\"data row16 col3\" >3.94</td>\n",
+ " <td id=\"T_62fa5_row16_col4\" class=\"data row16 col4\" >89.20</td>\n",
+ " <td id=\"T_62fa5_row16_col5\" class=\"data row16 col5\" >6.34</td>\n",
+ " <td id=\"T_62fa5_row16_col6\" class=\"data row16 col6\" >97.37</td>\n",
+ " <td id=\"T_62fa5_row16_col7\" class=\"data row16 col7\" >5.44</td>\n",
+ " <td id=\"T_62fa5_row16_col8\" class=\"data row16 col8\" >1.12</td>\n",
+ " <td id=\"T_62fa5_row16_col9\" class=\"data row16 col9\" >0.11</td>\n",
+ " <td id=\"T_62fa5_row16_col10\" class=\"data row16 col10\" >0.24</td>\n",
+ " <td id=\"T_62fa5_row16_col11\" class=\"data row16 col11\" >0.26</td>\n",
+ " <td id=\"T_62fa5_row16_col12\" class=\"data row16 col12\" >73.39</td>\n",
+ " <td id=\"T_62fa5_row16_col13\" class=\"data row16 col13\" >5.67</td>\n",
+ " <td id=\"T_62fa5_row16_col14\" class=\"data row16 col14\" >0.02</td>\n",
+ " <td id=\"T_62fa5_row16_col15\" class=\"data row16 col15\" >0.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_62fa5_row17_col0\" class=\"data row17 col0\" >19.68</td>\n",
+ " <td id=\"T_62fa5_row17_col1\" class=\"data row17 col1\" >4.16</td>\n",
+ " <td id=\"T_62fa5_row17_col2\" class=\"data row17 col2\" >19.93</td>\n",
+ " <td id=\"T_62fa5_row17_col3\" class=\"data row17 col3\" >4.47</td>\n",
+ " <td id=\"T_62fa5_row17_col4\" class=\"data row17 col4\" >90.20</td>\n",
+ " <td id=\"T_62fa5_row17_col5\" class=\"data row17 col5\" >7.97</td>\n",
+ " <td id=\"T_62fa5_row17_col6\" class=\"data row17 col6\" >98.01</td>\n",
+ " <td id=\"T_62fa5_row17_col7\" class=\"data row17 col7\" >4.09</td>\n",
+ " <td id=\"T_62fa5_row17_col8\" class=\"data row17 col8\" >1.13</td>\n",
+ " <td id=\"T_62fa5_row17_col9\" class=\"data row17 col9\" >0.11</td>\n",
+ " <td id=\"T_62fa5_row17_col10\" class=\"data row17 col10\" >0.19</td>\n",
+ " <td id=\"T_62fa5_row17_col11\" class=\"data row17 col11\" >0.26</td>\n",
+ " <td id=\"T_62fa5_row17_col12\" class=\"data row17 col12\" >74.23</td>\n",
+ " <td id=\"T_62fa5_row17_col13\" class=\"data row17 col13\" >5.21</td>\n",
+ " <td id=\"T_62fa5_row17_col14\" class=\"data row17 col14\" >0.01</td>\n",
+ " <td id=\"T_62fa5_row17_col15\" class=\"data row17 col15\" >0.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_62fa5_row18_col0\" class=\"data row18 col0\" >19.43</td>\n",
+ " <td id=\"T_62fa5_row18_col1\" class=\"data row18 col1\" >4.59</td>\n",
+ " <td id=\"T_62fa5_row18_col2\" class=\"data row18 col2\" >19.95</td>\n",
+ " <td id=\"T_62fa5_row18_col3\" class=\"data row18 col3\" >4.23</td>\n",
+ " <td id=\"T_62fa5_row18_col4\" class=\"data row18 col4\" >89.63</td>\n",
+ " <td id=\"T_62fa5_row18_col5\" class=\"data row18 col5\" >6.50</td>\n",
+ " <td id=\"T_62fa5_row18_col6\" class=\"data row18 col6\" >97.95</td>\n",
+ " <td id=\"T_62fa5_row18_col7\" class=\"data row18 col7\" >4.04</td>\n",
+ " <td id=\"T_62fa5_row18_col8\" class=\"data row18 col8\" >1.13</td>\n",
+ " <td id=\"T_62fa5_row18_col9\" class=\"data row18 col9\" >0.15</td>\n",
+ " <td id=\"T_62fa5_row18_col10\" class=\"data row18 col10\" >0.22</td>\n",
+ " <td id=\"T_62fa5_row18_col11\" class=\"data row18 col11\" >0.24</td>\n",
+ " <td id=\"T_62fa5_row18_col12\" class=\"data row18 col12\" >74.48</td>\n",
+ " <td id=\"T_62fa5_row18_col13\" class=\"data row18 col13\" >5.54</td>\n",
+ " <td id=\"T_62fa5_row18_col14\" class=\"data row18 col14\" >0.02</td>\n",
+ " <td id=\"T_62fa5_row18_col15\" class=\"data row18 col15\" >0.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_62fa5_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_62fa5_row19_col0\" class=\"data row19 col0\" >19.27</td>\n",
+ " <td id=\"T_62fa5_row19_col1\" class=\"data row19 col1\" >3.87</td>\n",
+ " <td id=\"T_62fa5_row19_col2\" class=\"data row19 col2\" >19.51</td>\n",
+ " <td id=\"T_62fa5_row19_col3\" class=\"data row19 col3\" >3.67</td>\n",
+ " <td id=\"T_62fa5_row19_col4\" class=\"data row19 col4\" >90.08</td>\n",
+ " <td id=\"T_62fa5_row19_col5\" class=\"data row19 col5\" >7.41</td>\n",
+ " <td id=\"T_62fa5_row19_col6\" class=\"data row19 col6\" >95.82</td>\n",
+ " <td id=\"T_62fa5_row19_col7\" class=\"data row19 col7\" >8.17</td>\n",
+ " <td id=\"T_62fa5_row19_col8\" class=\"data row19 col8\" >1.13</td>\n",
+ " <td id=\"T_62fa5_row19_col9\" class=\"data row19 col9\" >0.12</td>\n",
+ " <td id=\"T_62fa5_row19_col10\" class=\"data row19 col10\" >0.22</td>\n",
+ " <td id=\"T_62fa5_row19_col11\" class=\"data row19 col11\" >0.27</td>\n",
+ " <td id=\"T_62fa5_row19_col12\" class=\"data row19 col12\" >74.73</td>\n",
+ " <td id=\"T_62fa5_row19_col13\" class=\"data row19 col13\" >4.55</td>\n",
+ " <td id=\"T_62fa5_row19_col14\" class=\"data row19 col14\" >0.02</td>\n",
+ " <td id=\"T_62fa5_row19_col15\" class=\"data row19 col15\" >0.02</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7a4a85710f50>"
+ "<pandas.io.formats.style.Styler at 0x700ff2a551d0>"
]
},
"metadata": {},
@@ -1420,158 +1422,158 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_5ed03 td {\n",
+ "#T_4060c td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_5ed03 th {\n",
+ "#T_4060c th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_5ed03_row0_col4, #T_5ed03_row0_col6, #T_5ed03_row0_col8, #T_5ed03_row0_col10, #T_5ed03_row0_col12, #T_5ed03_row0_col14, #T_5ed03_row1_col0, #T_5ed03_row1_col2, #T_5ed03_row4_col4, #T_5ed03_row4_col6, #T_5ed03_row4_col8, #T_5ed03_row4_col12 {\n",
+ "#T_4060c_row0_col4, #T_4060c_row0_col6, #T_4060c_row0_col8, #T_4060c_row0_col10, #T_4060c_row0_col12, #T_4060c_row0_col14, #T_4060c_row1_col0, #T_4060c_row1_col2, #T_4060c_row4_col4, #T_4060c_row4_col6, #T_4060c_row4_col8, #T_4060c_row4_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_5ed03\">\n",
+ "<table id=\"T_4060c\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_5ed03_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_5ed03_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_5ed03_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_4060c_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_4060c_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_4060c_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_5ed03_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_5ed03_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_5ed03_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_5ed03_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_5ed03_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_5ed03_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_5ed03_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_5ed03_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_4060c_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_4060c_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_4060c_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_4060c_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_4060c_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_4060c_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_4060c_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_4060c_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_5ed03_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_5ed03_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_5ed03_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_4060c_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_4060c_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_5ed03_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_5ed03_row0_col0\" class=\"data row0 col0\" >71.84</td>\n",
- " <td id=\"T_5ed03_row0_col1\" class=\"data row0 col1\" >3.39</td>\n",
- " <td id=\"T_5ed03_row0_col2\" class=\"data row0 col2\" >72.02</td>\n",
- " <td id=\"T_5ed03_row0_col3\" class=\"data row0 col3\" >3.06</td>\n",
- " <td id=\"T_5ed03_row0_col4\" class=\"data row0 col4\" >88.30</td>\n",
- " <td id=\"T_5ed03_row0_col5\" class=\"data row0 col5\" >2.28</td>\n",
- " <td id=\"T_5ed03_row0_col6\" class=\"data row0 col6\" >97.17</td>\n",
- " <td id=\"T_5ed03_row0_col7\" class=\"data row0 col7\" >1.77</td>\n",
- " <td id=\"T_5ed03_row0_col8\" class=\"data row0 col8\" >1.34</td>\n",
- " <td id=\"T_5ed03_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
- " <td id=\"T_5ed03_row0_col10\" class=\"data row0 col10\" >96.79</td>\n",
- " <td id=\"T_5ed03_row0_col11\" class=\"data row0 col11\" >5.05</td>\n",
- " <td id=\"T_5ed03_row0_col12\" class=\"data row0 col12\" >32.73</td>\n",
- " <td id=\"T_5ed03_row0_col13\" class=\"data row0 col13\" >3.99</td>\n",
- " <td id=\"T_5ed03_row0_col14\" class=\"data row0 col14\" >1.75</td>\n",
- " <td id=\"T_5ed03_row0_col15\" class=\"data row0 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_5ed03_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
- " <td id=\"T_5ed03_row1_col0\" class=\"data row1 col0\" >71.92</td>\n",
- " <td id=\"T_5ed03_row1_col1\" class=\"data row1 col1\" >3.20</td>\n",
- " <td id=\"T_5ed03_row1_col2\" class=\"data row1 col2\" >72.39</td>\n",
- " <td id=\"T_5ed03_row1_col3\" class=\"data row1 col3\" >3.13</td>\n",
- " <td id=\"T_5ed03_row1_col4\" class=\"data row1 col4\" >85.53</td>\n",
- " <td id=\"T_5ed03_row1_col5\" class=\"data row1 col5\" >2.35</td>\n",
- " <td id=\"T_5ed03_row1_col6\" class=\"data row1 col6\" >93.81</td>\n",
- " <td id=\"T_5ed03_row1_col7\" class=\"data row1 col7\" >2.71</td>\n",
- " <td id=\"T_5ed03_row1_col8\" class=\"data row1 col8\" >1.71</td>\n",
- " <td id=\"T_5ed03_row1_col9\" class=\"data row1 col9\" >0.07</td>\n",
- " <td id=\"T_5ed03_row1_col10\" class=\"data row1 col10\" >92.46</td>\n",
- " <td id=\"T_5ed03_row1_col11\" class=\"data row1 col11\" >5.09</td>\n",
- " <td id=\"T_5ed03_row1_col12\" class=\"data row1 col12\" >33.75</td>\n",
- " <td id=\"T_5ed03_row1_col13\" class=\"data row1 col13\" >4.03</td>\n",
- " <td id=\"T_5ed03_row1_col14\" class=\"data row1 col14\" >1.67</td>\n",
- " <td id=\"T_5ed03_row1_col15\" class=\"data row1 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_5ed03_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
- " <td id=\"T_5ed03_row2_col0\" class=\"data row2 col0\" >71.80</td>\n",
- " <td id=\"T_5ed03_row2_col1\" class=\"data row2 col1\" >3.30</td>\n",
- " <td id=\"T_5ed03_row2_col2\" class=\"data row2 col2\" >72.36</td>\n",
- " <td id=\"T_5ed03_row2_col3\" class=\"data row2 col3\" >3.10</td>\n",
- " <td id=\"T_5ed03_row2_col4\" class=\"data row2 col4\" >85.64</td>\n",
- " <td id=\"T_5ed03_row2_col5\" class=\"data row2 col5\" >2.15</td>\n",
- " <td id=\"T_5ed03_row2_col6\" class=\"data row2 col6\" >95.61</td>\n",
- " <td id=\"T_5ed03_row2_col7\" class=\"data row2 col7\" >2.41</td>\n",
- " <td id=\"T_5ed03_row2_col8\" class=\"data row2 col8\" >1.62</td>\n",
- " <td id=\"T_5ed03_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_5ed03_row2_col10\" class=\"data row2 col10\" >46.02</td>\n",
- " <td id=\"T_5ed03_row2_col11\" class=\"data row2 col11\" >5.74</td>\n",
- " <td id=\"T_5ed03_row2_col12\" class=\"data row2 col12\" >33.93</td>\n",
- " <td id=\"T_5ed03_row2_col13\" class=\"data row2 col13\" >4.04</td>\n",
- " <td id=\"T_5ed03_row2_col14\" class=\"data row2 col14\" >0.83</td>\n",
- " <td id=\"T_5ed03_row2_col15\" class=\"data row2 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_5ed03_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
- " <td id=\"T_5ed03_row3_col0\" class=\"data row3 col0\" >71.81</td>\n",
- " <td id=\"T_5ed03_row3_col1\" class=\"data row3 col1\" >3.25</td>\n",
- " <td id=\"T_5ed03_row3_col2\" class=\"data row3 col2\" >72.10</td>\n",
- " <td id=\"T_5ed03_row3_col3\" class=\"data row3 col3\" >3.15</td>\n",
- " <td id=\"T_5ed03_row3_col4\" class=\"data row3 col4\" >87.17</td>\n",
- " <td id=\"T_5ed03_row3_col5\" class=\"data row3 col5\" >2.04</td>\n",
- " <td id=\"T_5ed03_row3_col6\" class=\"data row3 col6\" >96.71</td>\n",
- " <td id=\"T_5ed03_row3_col7\" class=\"data row3 col7\" >1.98</td>\n",
- " <td id=\"T_5ed03_row3_col8\" class=\"data row3 col8\" >1.45</td>\n",
- " <td id=\"T_5ed03_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_5ed03_row3_col10\" class=\"data row3 col10\" >19.85</td>\n",
- " <td id=\"T_5ed03_row3_col11\" class=\"data row3 col11\" >3.45</td>\n",
- " <td id=\"T_5ed03_row3_col12\" class=\"data row3 col12\" >33.16</td>\n",
- " <td id=\"T_5ed03_row3_col13\" class=\"data row3 col13\" >4.02</td>\n",
- " <td id=\"T_5ed03_row3_col14\" class=\"data row3 col14\" >0.36</td>\n",
- " <td id=\"T_5ed03_row3_col15\" class=\"data row3 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_5ed03_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
- " <td id=\"T_5ed03_row4_col0\" class=\"data row4 col0\" >71.84</td>\n",
- " <td id=\"T_5ed03_row4_col1\" class=\"data row4 col1\" >3.39</td>\n",
- " <td id=\"T_5ed03_row4_col2\" class=\"data row4 col2\" >72.02</td>\n",
- " <td id=\"T_5ed03_row4_col3\" class=\"data row4 col3\" >3.06</td>\n",
- " <td id=\"T_5ed03_row4_col4\" class=\"data row4 col4\" >88.30</td>\n",
- " <td id=\"T_5ed03_row4_col5\" class=\"data row4 col5\" >2.28</td>\n",
- " <td id=\"T_5ed03_row4_col6\" class=\"data row4 col6\" >97.17</td>\n",
- " <td id=\"T_5ed03_row4_col7\" class=\"data row4 col7\" >1.77</td>\n",
- " <td id=\"T_5ed03_row4_col8\" class=\"data row4 col8\" >1.34</td>\n",
- " <td id=\"T_5ed03_row4_col9\" class=\"data row4 col9\" >0.05</td>\n",
- " <td id=\"T_5ed03_row4_col10\" class=\"data row4 col10\" >7.64</td>\n",
- " <td id=\"T_5ed03_row4_col11\" class=\"data row4 col11\" >1.63</td>\n",
- " <td id=\"T_5ed03_row4_col12\" class=\"data row4 col12\" >32.73</td>\n",
- " <td id=\"T_5ed03_row4_col13\" class=\"data row4 col13\" >3.99</td>\n",
- " <td id=\"T_5ed03_row4_col14\" class=\"data row4 col14\" >0.14</td>\n",
- " <td id=\"T_5ed03_row4_col15\" class=\"data row4 col15\" >0.03</td>\n",
+ " <th id=\"T_4060c_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_4060c_row0_col0\" class=\"data row0 col0\" >71.84</td>\n",
+ " <td id=\"T_4060c_row0_col1\" class=\"data row0 col1\" >3.39</td>\n",
+ " <td id=\"T_4060c_row0_col2\" class=\"data row0 col2\" >72.02</td>\n",
+ " <td id=\"T_4060c_row0_col3\" class=\"data row0 col3\" >3.06</td>\n",
+ " <td id=\"T_4060c_row0_col4\" class=\"data row0 col4\" >88.30</td>\n",
+ " <td id=\"T_4060c_row0_col5\" class=\"data row0 col5\" >2.28</td>\n",
+ " <td id=\"T_4060c_row0_col6\" class=\"data row0 col6\" >97.17</td>\n",
+ " <td id=\"T_4060c_row0_col7\" class=\"data row0 col7\" >1.77</td>\n",
+ " <td id=\"T_4060c_row0_col8\" class=\"data row0 col8\" >1.34</td>\n",
+ " <td id=\"T_4060c_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
+ " <td id=\"T_4060c_row0_col10\" class=\"data row0 col10\" >96.79</td>\n",
+ " <td id=\"T_4060c_row0_col11\" class=\"data row0 col11\" >5.05</td>\n",
+ " <td id=\"T_4060c_row0_col12\" class=\"data row0 col12\" >32.73</td>\n",
+ " <td id=\"T_4060c_row0_col13\" class=\"data row0 col13\" >3.99</td>\n",
+ " <td id=\"T_4060c_row0_col14\" class=\"data row0 col14\" >1.75</td>\n",
+ " <td id=\"T_4060c_row0_col15\" class=\"data row0 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4060c_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_4060c_row1_col0\" class=\"data row1 col0\" >71.92</td>\n",
+ " <td id=\"T_4060c_row1_col1\" class=\"data row1 col1\" >3.20</td>\n",
+ " <td id=\"T_4060c_row1_col2\" class=\"data row1 col2\" >72.39</td>\n",
+ " <td id=\"T_4060c_row1_col3\" class=\"data row1 col3\" >3.13</td>\n",
+ " <td id=\"T_4060c_row1_col4\" class=\"data row1 col4\" >85.53</td>\n",
+ " <td id=\"T_4060c_row1_col5\" class=\"data row1 col5\" >2.35</td>\n",
+ " <td id=\"T_4060c_row1_col6\" class=\"data row1 col6\" >93.81</td>\n",
+ " <td id=\"T_4060c_row1_col7\" class=\"data row1 col7\" >2.71</td>\n",
+ " <td id=\"T_4060c_row1_col8\" class=\"data row1 col8\" >1.71</td>\n",
+ " <td id=\"T_4060c_row1_col9\" class=\"data row1 col9\" >0.07</td>\n",
+ " <td id=\"T_4060c_row1_col10\" class=\"data row1 col10\" >92.46</td>\n",
+ " <td id=\"T_4060c_row1_col11\" class=\"data row1 col11\" >5.09</td>\n",
+ " <td id=\"T_4060c_row1_col12\" class=\"data row1 col12\" >33.75</td>\n",
+ " <td id=\"T_4060c_row1_col13\" class=\"data row1 col13\" >4.03</td>\n",
+ " <td id=\"T_4060c_row1_col14\" class=\"data row1 col14\" >1.67</td>\n",
+ " <td id=\"T_4060c_row1_col15\" class=\"data row1 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4060c_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_4060c_row2_col0\" class=\"data row2 col0\" >71.80</td>\n",
+ " <td id=\"T_4060c_row2_col1\" class=\"data row2 col1\" >3.30</td>\n",
+ " <td id=\"T_4060c_row2_col2\" class=\"data row2 col2\" >72.36</td>\n",
+ " <td id=\"T_4060c_row2_col3\" class=\"data row2 col3\" >3.10</td>\n",
+ " <td id=\"T_4060c_row2_col4\" class=\"data row2 col4\" >85.64</td>\n",
+ " <td id=\"T_4060c_row2_col5\" class=\"data row2 col5\" >2.15</td>\n",
+ " <td id=\"T_4060c_row2_col6\" class=\"data row2 col6\" >95.61</td>\n",
+ " <td id=\"T_4060c_row2_col7\" class=\"data row2 col7\" >2.41</td>\n",
+ " <td id=\"T_4060c_row2_col8\" class=\"data row2 col8\" >1.62</td>\n",
+ " <td id=\"T_4060c_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_4060c_row2_col10\" class=\"data row2 col10\" >46.02</td>\n",
+ " <td id=\"T_4060c_row2_col11\" class=\"data row2 col11\" >5.74</td>\n",
+ " <td id=\"T_4060c_row2_col12\" class=\"data row2 col12\" >33.93</td>\n",
+ " <td id=\"T_4060c_row2_col13\" class=\"data row2 col13\" >4.04</td>\n",
+ " <td id=\"T_4060c_row2_col14\" class=\"data row2 col14\" >0.83</td>\n",
+ " <td id=\"T_4060c_row2_col15\" class=\"data row2 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4060c_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_4060c_row3_col0\" class=\"data row3 col0\" >71.81</td>\n",
+ " <td id=\"T_4060c_row3_col1\" class=\"data row3 col1\" >3.25</td>\n",
+ " <td id=\"T_4060c_row3_col2\" class=\"data row3 col2\" >72.10</td>\n",
+ " <td id=\"T_4060c_row3_col3\" class=\"data row3 col3\" >3.15</td>\n",
+ " <td id=\"T_4060c_row3_col4\" class=\"data row3 col4\" >87.17</td>\n",
+ " <td id=\"T_4060c_row3_col5\" class=\"data row3 col5\" >2.04</td>\n",
+ " <td id=\"T_4060c_row3_col6\" class=\"data row3 col6\" >96.71</td>\n",
+ " <td id=\"T_4060c_row3_col7\" class=\"data row3 col7\" >1.98</td>\n",
+ " <td id=\"T_4060c_row3_col8\" class=\"data row3 col8\" >1.45</td>\n",
+ " <td id=\"T_4060c_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_4060c_row3_col10\" class=\"data row3 col10\" >19.85</td>\n",
+ " <td id=\"T_4060c_row3_col11\" class=\"data row3 col11\" >3.45</td>\n",
+ " <td id=\"T_4060c_row3_col12\" class=\"data row3 col12\" >33.16</td>\n",
+ " <td id=\"T_4060c_row3_col13\" class=\"data row3 col13\" >4.02</td>\n",
+ " <td id=\"T_4060c_row3_col14\" class=\"data row3 col14\" >0.36</td>\n",
+ " <td id=\"T_4060c_row3_col15\" class=\"data row3 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4060c_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_4060c_row4_col0\" class=\"data row4 col0\" >71.84</td>\n",
+ " <td id=\"T_4060c_row4_col1\" class=\"data row4 col1\" >3.39</td>\n",
+ " <td id=\"T_4060c_row4_col2\" class=\"data row4 col2\" >72.02</td>\n",
+ " <td id=\"T_4060c_row4_col3\" class=\"data row4 col3\" >3.06</td>\n",
+ " <td id=\"T_4060c_row4_col4\" class=\"data row4 col4\" >88.30</td>\n",
+ " <td id=\"T_4060c_row4_col5\" class=\"data row4 col5\" >2.28</td>\n",
+ " <td id=\"T_4060c_row4_col6\" class=\"data row4 col6\" >97.17</td>\n",
+ " <td id=\"T_4060c_row4_col7\" class=\"data row4 col7\" >1.77</td>\n",
+ " <td id=\"T_4060c_row4_col8\" class=\"data row4 col8\" >1.34</td>\n",
+ " <td id=\"T_4060c_row4_col9\" class=\"data row4 col9\" >0.05</td>\n",
+ " <td id=\"T_4060c_row4_col10\" class=\"data row4 col10\" >7.64</td>\n",
+ " <td id=\"T_4060c_row4_col11\" class=\"data row4 col11\" >1.63</td>\n",
+ " <td id=\"T_4060c_row4_col12\" class=\"data row4 col12\" >32.73</td>\n",
+ " <td id=\"T_4060c_row4_col13\" class=\"data row4 col13\" >3.99</td>\n",
+ " <td id=\"T_4060c_row4_col14\" class=\"data row4 col14\" >0.14</td>\n",
+ " <td id=\"T_4060c_row4_col15\" class=\"data row4 col15\" >0.03</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7a4a85710f50>"
+ "<pandas.io.formats.style.Styler at 0x700ff280c6d0>"
]
},
"metadata": {},
@@ -1581,158 +1583,158 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_8f91f td {\n",
+ "#T_3e003 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_8f91f th {\n",
+ "#T_3e003 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_8f91f_row0_col4, #T_8f91f_row0_col6, #T_8f91f_row0_col8, #T_8f91f_row0_col10, #T_8f91f_row0_col12, #T_8f91f_row0_col14, #T_8f91f_row2_col2, #T_8f91f_row3_col0, #T_8f91f_row4_col4, #T_8f91f_row4_col6, #T_8f91f_row4_col8, #T_8f91f_row4_col12 {\n",
+ "#T_3e003_row0_col4, #T_3e003_row0_col6, #T_3e003_row0_col8, #T_3e003_row0_col10, #T_3e003_row0_col12, #T_3e003_row0_col14, #T_3e003_row2_col2, #T_3e003_row3_col0, #T_3e003_row4_col4, #T_3e003_row4_col6, #T_3e003_row4_col8, #T_3e003_row4_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_8f91f\">\n",
+ "<table id=\"T_3e003\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_8f91f_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_8f91f_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_8f91f_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_3e003_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_3e003_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_3e003_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_8f91f_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_8f91f_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_8f91f_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_8f91f_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_8f91f_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_8f91f_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_8f91f_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_8f91f_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_3e003_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_3e003_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_3e003_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_3e003_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_3e003_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_3e003_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_3e003_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_3e003_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_8f91f_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_8f91f_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_8f91f_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_3e003_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_3e003_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_8f91f_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_8f91f_row0_col0\" class=\"data row0 col0\" >75.72</td>\n",
- " <td id=\"T_8f91f_row0_col1\" class=\"data row0 col1\" >3.33</td>\n",
- " <td id=\"T_8f91f_row0_col2\" class=\"data row0 col2\" >76.41</td>\n",
- " <td id=\"T_8f91f_row0_col3\" class=\"data row0 col3\" >3.81</td>\n",
- " <td id=\"T_8f91f_row0_col4\" class=\"data row0 col4\" >89.61</td>\n",
- " <td id=\"T_8f91f_row0_col5\" class=\"data row0 col5\" >2.41</td>\n",
- " <td id=\"T_8f91f_row0_col6\" class=\"data row0 col6\" >97.34</td>\n",
- " <td id=\"T_8f91f_row0_col7\" class=\"data row0 col7\" >1.78</td>\n",
- " <td id=\"T_8f91f_row0_col8\" class=\"data row0 col8\" >1.21</td>\n",
- " <td id=\"T_8f91f_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
- " <td id=\"T_8f91f_row0_col10\" class=\"data row0 col10\" >68.79</td>\n",
- " <td id=\"T_8f91f_row0_col11\" class=\"data row0 col11\" >3.64</td>\n",
- " <td id=\"T_8f91f_row0_col12\" class=\"data row0 col12\" >51.82</td>\n",
- " <td id=\"T_8f91f_row0_col13\" class=\"data row0 col13\" >3.83</td>\n",
- " <td id=\"T_8f91f_row0_col14\" class=\"data row0 col14\" >1.24</td>\n",
- " <td id=\"T_8f91f_row0_col15\" class=\"data row0 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8f91f_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
- " <td id=\"T_8f91f_row1_col0\" class=\"data row1 col0\" >75.94</td>\n",
- " <td id=\"T_8f91f_row1_col1\" class=\"data row1 col1\" >3.35</td>\n",
- " <td id=\"T_8f91f_row1_col2\" class=\"data row1 col2\" >77.07</td>\n",
- " <td id=\"T_8f91f_row1_col3\" class=\"data row1 col3\" >3.83</td>\n",
- " <td id=\"T_8f91f_row1_col4\" class=\"data row1 col4\" >86.61</td>\n",
- " <td id=\"T_8f91f_row1_col5\" class=\"data row1 col5\" >2.55</td>\n",
- " <td id=\"T_8f91f_row1_col6\" class=\"data row1 col6\" >95.09</td>\n",
- " <td id=\"T_8f91f_row1_col7\" class=\"data row1 col7\" >2.50</td>\n",
- " <td id=\"T_8f91f_row1_col8\" class=\"data row1 col8\" >1.56</td>\n",
- " <td id=\"T_8f91f_row1_col9\" class=\"data row1 col9\" >0.08</td>\n",
- " <td id=\"T_8f91f_row1_col10\" class=\"data row1 col10\" >66.26</td>\n",
- " <td id=\"T_8f91f_row1_col11\" class=\"data row1 col11\" >3.64</td>\n",
- " <td id=\"T_8f91f_row1_col12\" class=\"data row1 col12\" >52.68</td>\n",
- " <td id=\"T_8f91f_row1_col13\" class=\"data row1 col13\" >3.86</td>\n",
- " <td id=\"T_8f91f_row1_col14\" class=\"data row1 col14\" >1.20</td>\n",
- " <td id=\"T_8f91f_row1_col15\" class=\"data row1 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8f91f_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
- " <td id=\"T_8f91f_row2_col0\" class=\"data row2 col0\" >75.91</td>\n",
- " <td id=\"T_8f91f_row2_col1\" class=\"data row2 col1\" >3.19</td>\n",
- " <td id=\"T_8f91f_row2_col2\" class=\"data row2 col2\" >77.16</td>\n",
- " <td id=\"T_8f91f_row2_col3\" class=\"data row2 col3\" >3.81</td>\n",
- " <td id=\"T_8f91f_row2_col4\" class=\"data row2 col4\" >87.50</td>\n",
- " <td id=\"T_8f91f_row2_col5\" class=\"data row2 col5\" >2.71</td>\n",
- " <td id=\"T_8f91f_row2_col6\" class=\"data row2 col6\" >96.64</td>\n",
- " <td id=\"T_8f91f_row2_col7\" class=\"data row2 col7\" >2.03</td>\n",
- " <td id=\"T_8f91f_row2_col8\" class=\"data row2 col8\" >1.40</td>\n",
- " <td id=\"T_8f91f_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_8f91f_row2_col10\" class=\"data row2 col10\" >23.54</td>\n",
- " <td id=\"T_8f91f_row2_col11\" class=\"data row2 col11\" >3.88</td>\n",
- " <td id=\"T_8f91f_row2_col12\" class=\"data row2 col12\" >52.45</td>\n",
- " <td id=\"T_8f91f_row2_col13\" class=\"data row2 col13\" >3.83</td>\n",
- " <td id=\"T_8f91f_row2_col14\" class=\"data row2 col14\" >0.43</td>\n",
- " <td id=\"T_8f91f_row2_col15\" class=\"data row2 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8f91f_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
- " <td id=\"T_8f91f_row3_col0\" class=\"data row3 col0\" >75.97</td>\n",
- " <td id=\"T_8f91f_row3_col1\" class=\"data row3 col1\" >3.16</td>\n",
- " <td id=\"T_8f91f_row3_col2\" class=\"data row3 col2\" >76.73</td>\n",
- " <td id=\"T_8f91f_row3_col3\" class=\"data row3 col3\" >3.79</td>\n",
- " <td id=\"T_8f91f_row3_col4\" class=\"data row3 col4\" >88.79</td>\n",
- " <td id=\"T_8f91f_row3_col5\" class=\"data row3 col5\" >2.62</td>\n",
- " <td id=\"T_8f91f_row3_col6\" class=\"data row3 col6\" >97.17</td>\n",
- " <td id=\"T_8f91f_row3_col7\" class=\"data row3 col7\" >1.81</td>\n",
- " <td id=\"T_8f91f_row3_col8\" class=\"data row3 col8\" >1.28</td>\n",
- " <td id=\"T_8f91f_row3_col9\" class=\"data row3 col9\" >0.06</td>\n",
- " <td id=\"T_8f91f_row3_col10\" class=\"data row3 col10\" >9.23</td>\n",
- " <td id=\"T_8f91f_row3_col11\" class=\"data row3 col11\" >1.95</td>\n",
- " <td id=\"T_8f91f_row3_col12\" class=\"data row3 col12\" >52.01</td>\n",
- " <td id=\"T_8f91f_row3_col13\" class=\"data row3 col13\" >3.83</td>\n",
- " <td id=\"T_8f91f_row3_col14\" class=\"data row3 col14\" >0.17</td>\n",
- " <td id=\"T_8f91f_row3_col15\" class=\"data row3 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8f91f_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
- " <td id=\"T_8f91f_row4_col0\" class=\"data row4 col0\" >75.72</td>\n",
- " <td id=\"T_8f91f_row4_col1\" class=\"data row4 col1\" >3.33</td>\n",
- " <td id=\"T_8f91f_row4_col2\" class=\"data row4 col2\" >76.41</td>\n",
- " <td id=\"T_8f91f_row4_col3\" class=\"data row4 col3\" >3.81</td>\n",
- " <td id=\"T_8f91f_row4_col4\" class=\"data row4 col4\" >89.61</td>\n",
- " <td id=\"T_8f91f_row4_col5\" class=\"data row4 col5\" >2.41</td>\n",
- " <td id=\"T_8f91f_row4_col6\" class=\"data row4 col6\" >97.34</td>\n",
- " <td id=\"T_8f91f_row4_col7\" class=\"data row4 col7\" >1.78</td>\n",
- " <td id=\"T_8f91f_row4_col8\" class=\"data row4 col8\" >1.21</td>\n",
- " <td id=\"T_8f91f_row4_col9\" class=\"data row4 col9\" >0.05</td>\n",
- " <td id=\"T_8f91f_row4_col10\" class=\"data row4 col10\" >3.60</td>\n",
- " <td id=\"T_8f91f_row4_col11\" class=\"data row4 col11\" >1.22</td>\n",
- " <td id=\"T_8f91f_row4_col12\" class=\"data row4 col12\" >51.82</td>\n",
- " <td id=\"T_8f91f_row4_col13\" class=\"data row4 col13\" >3.83</td>\n",
- " <td id=\"T_8f91f_row4_col14\" class=\"data row4 col14\" >0.07</td>\n",
- " <td id=\"T_8f91f_row4_col15\" class=\"data row4 col15\" >0.02</td>\n",
+ " <th id=\"T_3e003_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_3e003_row0_col0\" class=\"data row0 col0\" >75.72</td>\n",
+ " <td id=\"T_3e003_row0_col1\" class=\"data row0 col1\" >3.33</td>\n",
+ " <td id=\"T_3e003_row0_col2\" class=\"data row0 col2\" >76.41</td>\n",
+ " <td id=\"T_3e003_row0_col3\" class=\"data row0 col3\" >3.81</td>\n",
+ " <td id=\"T_3e003_row0_col4\" class=\"data row0 col4\" >89.61</td>\n",
+ " <td id=\"T_3e003_row0_col5\" class=\"data row0 col5\" >2.41</td>\n",
+ " <td id=\"T_3e003_row0_col6\" class=\"data row0 col6\" >97.34</td>\n",
+ " <td id=\"T_3e003_row0_col7\" class=\"data row0 col7\" >1.78</td>\n",
+ " <td id=\"T_3e003_row0_col8\" class=\"data row0 col8\" >1.21</td>\n",
+ " <td id=\"T_3e003_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
+ " <td id=\"T_3e003_row0_col10\" class=\"data row0 col10\" >68.79</td>\n",
+ " <td id=\"T_3e003_row0_col11\" class=\"data row0 col11\" >3.64</td>\n",
+ " <td id=\"T_3e003_row0_col12\" class=\"data row0 col12\" >51.82</td>\n",
+ " <td id=\"T_3e003_row0_col13\" class=\"data row0 col13\" >3.83</td>\n",
+ " <td id=\"T_3e003_row0_col14\" class=\"data row0 col14\" >1.24</td>\n",
+ " <td id=\"T_3e003_row0_col15\" class=\"data row0 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3e003_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_3e003_row1_col0\" class=\"data row1 col0\" >75.94</td>\n",
+ " <td id=\"T_3e003_row1_col1\" class=\"data row1 col1\" >3.35</td>\n",
+ " <td id=\"T_3e003_row1_col2\" class=\"data row1 col2\" >77.07</td>\n",
+ " <td id=\"T_3e003_row1_col3\" class=\"data row1 col3\" >3.83</td>\n",
+ " <td id=\"T_3e003_row1_col4\" class=\"data row1 col4\" >86.61</td>\n",
+ " <td id=\"T_3e003_row1_col5\" class=\"data row1 col5\" >2.55</td>\n",
+ " <td id=\"T_3e003_row1_col6\" class=\"data row1 col6\" >95.09</td>\n",
+ " <td id=\"T_3e003_row1_col7\" class=\"data row1 col7\" >2.50</td>\n",
+ " <td id=\"T_3e003_row1_col8\" class=\"data row1 col8\" >1.56</td>\n",
+ " <td id=\"T_3e003_row1_col9\" class=\"data row1 col9\" >0.08</td>\n",
+ " <td id=\"T_3e003_row1_col10\" class=\"data row1 col10\" >66.26</td>\n",
+ " <td id=\"T_3e003_row1_col11\" class=\"data row1 col11\" >3.64</td>\n",
+ " <td id=\"T_3e003_row1_col12\" class=\"data row1 col12\" >52.68</td>\n",
+ " <td id=\"T_3e003_row1_col13\" class=\"data row1 col13\" >3.86</td>\n",
+ " <td id=\"T_3e003_row1_col14\" class=\"data row1 col14\" >1.20</td>\n",
+ " <td id=\"T_3e003_row1_col15\" class=\"data row1 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3e003_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_3e003_row2_col0\" class=\"data row2 col0\" >75.91</td>\n",
+ " <td id=\"T_3e003_row2_col1\" class=\"data row2 col1\" >3.19</td>\n",
+ " <td id=\"T_3e003_row2_col2\" class=\"data row2 col2\" >77.16</td>\n",
+ " <td id=\"T_3e003_row2_col3\" class=\"data row2 col3\" >3.81</td>\n",
+ " <td id=\"T_3e003_row2_col4\" class=\"data row2 col4\" >87.50</td>\n",
+ " <td id=\"T_3e003_row2_col5\" class=\"data row2 col5\" >2.71</td>\n",
+ " <td id=\"T_3e003_row2_col6\" class=\"data row2 col6\" >96.64</td>\n",
+ " <td id=\"T_3e003_row2_col7\" class=\"data row2 col7\" >2.03</td>\n",
+ " <td id=\"T_3e003_row2_col8\" class=\"data row2 col8\" >1.40</td>\n",
+ " <td id=\"T_3e003_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_3e003_row2_col10\" class=\"data row2 col10\" >23.54</td>\n",
+ " <td id=\"T_3e003_row2_col11\" class=\"data row2 col11\" >3.88</td>\n",
+ " <td id=\"T_3e003_row2_col12\" class=\"data row2 col12\" >52.45</td>\n",
+ " <td id=\"T_3e003_row2_col13\" class=\"data row2 col13\" >3.83</td>\n",
+ " <td id=\"T_3e003_row2_col14\" class=\"data row2 col14\" >0.43</td>\n",
+ " <td id=\"T_3e003_row2_col15\" class=\"data row2 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3e003_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_3e003_row3_col0\" class=\"data row3 col0\" >75.97</td>\n",
+ " <td id=\"T_3e003_row3_col1\" class=\"data row3 col1\" >3.16</td>\n",
+ " <td id=\"T_3e003_row3_col2\" class=\"data row3 col2\" >76.73</td>\n",
+ " <td id=\"T_3e003_row3_col3\" class=\"data row3 col3\" >3.79</td>\n",
+ " <td id=\"T_3e003_row3_col4\" class=\"data row3 col4\" >88.79</td>\n",
+ " <td id=\"T_3e003_row3_col5\" class=\"data row3 col5\" >2.62</td>\n",
+ " <td id=\"T_3e003_row3_col6\" class=\"data row3 col6\" >97.17</td>\n",
+ " <td id=\"T_3e003_row3_col7\" class=\"data row3 col7\" >1.81</td>\n",
+ " <td id=\"T_3e003_row3_col8\" class=\"data row3 col8\" >1.28</td>\n",
+ " <td id=\"T_3e003_row3_col9\" class=\"data row3 col9\" >0.06</td>\n",
+ " <td id=\"T_3e003_row3_col10\" class=\"data row3 col10\" >9.23</td>\n",
+ " <td id=\"T_3e003_row3_col11\" class=\"data row3 col11\" >1.95</td>\n",
+ " <td id=\"T_3e003_row3_col12\" class=\"data row3 col12\" >52.01</td>\n",
+ " <td id=\"T_3e003_row3_col13\" class=\"data row3 col13\" >3.83</td>\n",
+ " <td id=\"T_3e003_row3_col14\" class=\"data row3 col14\" >0.17</td>\n",
+ " <td id=\"T_3e003_row3_col15\" class=\"data row3 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3e003_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_3e003_row4_col0\" class=\"data row4 col0\" >75.72</td>\n",
+ " <td id=\"T_3e003_row4_col1\" class=\"data row4 col1\" >3.33</td>\n",
+ " <td id=\"T_3e003_row4_col2\" class=\"data row4 col2\" >76.41</td>\n",
+ " <td id=\"T_3e003_row4_col3\" class=\"data row4 col3\" >3.81</td>\n",
+ " <td id=\"T_3e003_row4_col4\" class=\"data row4 col4\" >89.61</td>\n",
+ " <td id=\"T_3e003_row4_col5\" class=\"data row4 col5\" >2.41</td>\n",
+ " <td id=\"T_3e003_row4_col6\" class=\"data row4 col6\" >97.34</td>\n",
+ " <td id=\"T_3e003_row4_col7\" class=\"data row4 col7\" >1.78</td>\n",
+ " <td id=\"T_3e003_row4_col8\" class=\"data row4 col8\" >1.21</td>\n",
+ " <td id=\"T_3e003_row4_col9\" class=\"data row4 col9\" >0.05</td>\n",
+ " <td id=\"T_3e003_row4_col10\" class=\"data row4 col10\" >3.60</td>\n",
+ " <td id=\"T_3e003_row4_col11\" class=\"data row4 col11\" >1.22</td>\n",
+ " <td id=\"T_3e003_row4_col12\" class=\"data row4 col12\" >51.82</td>\n",
+ " <td id=\"T_3e003_row4_col13\" class=\"data row4 col13\" >3.83</td>\n",
+ " <td id=\"T_3e003_row4_col14\" class=\"data row4 col14\" >0.07</td>\n",
+ " <td id=\"T_3e003_row4_col15\" class=\"data row4 col15\" >0.02</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7a4a581d3b10>"
+ "<pandas.io.formats.style.Styler at 0x700ff2801e10>"
]
},
"metadata": {},
@@ -1742,158 +1744,158 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_2afd9 td {\n",
+ "#T_0552a td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_2afd9 th {\n",
+ "#T_0552a th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_2afd9_row0_col4, #T_2afd9_row0_col6, #T_2afd9_row0_col8, #T_2afd9_row0_col10, #T_2afd9_row0_col12, #T_2afd9_row0_col14, #T_2afd9_row1_col2, #T_2afd9_row3_col0, #T_2afd9_row4_col4, #T_2afd9_row4_col6, #T_2afd9_row4_col8, #T_2afd9_row4_col12 {\n",
+ "#T_0552a_row0_col4, #T_0552a_row0_col6, #T_0552a_row0_col8, #T_0552a_row0_col10, #T_0552a_row0_col12, #T_0552a_row0_col14, #T_0552a_row1_col2, #T_0552a_row3_col0, #T_0552a_row4_col4, #T_0552a_row4_col6, #T_0552a_row4_col8, #T_0552a_row4_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_2afd9\">\n",
+ "<table id=\"T_0552a\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_2afd9_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_2afd9_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_2afd9_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_0552a_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_0552a_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_0552a_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_2afd9_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_2afd9_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_2afd9_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_2afd9_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_2afd9_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_2afd9_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_2afd9_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_2afd9_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_0552a_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_0552a_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_0552a_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_0552a_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_0552a_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_0552a_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_0552a_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_0552a_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_2afd9_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_2afd9_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_2afd9_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_0552a_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_0552a_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_2afd9_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_2afd9_row0_col0\" class=\"data row0 col0\" >78.53</td>\n",
- " <td id=\"T_2afd9_row0_col1\" class=\"data row0 col1\" >5.03</td>\n",
- " <td id=\"T_2afd9_row0_col2\" class=\"data row0 col2\" >79.56</td>\n",
- " <td id=\"T_2afd9_row0_col3\" class=\"data row0 col3\" >4.18</td>\n",
- " <td id=\"T_2afd9_row0_col4\" class=\"data row0 col4\" >89.77</td>\n",
- " <td id=\"T_2afd9_row0_col5\" class=\"data row0 col5\" >3.76</td>\n",
- " <td id=\"T_2afd9_row0_col6\" class=\"data row0 col6\" >97.40</td>\n",
- " <td id=\"T_2afd9_row0_col7\" class=\"data row0 col7\" >2.82</td>\n",
- " <td id=\"T_2afd9_row0_col8\" class=\"data row0 col8\" >1.13</td>\n",
- " <td id=\"T_2afd9_row0_col9\" class=\"data row0 col9\" >0.06</td>\n",
- " <td id=\"T_2afd9_row0_col10\" class=\"data row0 col10\" >35.76</td>\n",
- " <td id=\"T_2afd9_row0_col11\" class=\"data row0 col11\" >2.61</td>\n",
- " <td id=\"T_2afd9_row0_col12\" class=\"data row0 col12\" >74.21</td>\n",
- " <td id=\"T_2afd9_row0_col13\" class=\"data row0 col13\" >2.53</td>\n",
- " <td id=\"T_2afd9_row0_col14\" class=\"data row0 col14\" >0.65</td>\n",
- " <td id=\"T_2afd9_row0_col15\" class=\"data row0 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2afd9_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
- " <td id=\"T_2afd9_row1_col0\" class=\"data row1 col0\" >78.74</td>\n",
- " <td id=\"T_2afd9_row1_col1\" class=\"data row1 col1\" >4.99</td>\n",
- " <td id=\"T_2afd9_row1_col2\" class=\"data row1 col2\" >79.86</td>\n",
- " <td id=\"T_2afd9_row1_col3\" class=\"data row1 col3\" >4.20</td>\n",
- " <td id=\"T_2afd9_row1_col4\" class=\"data row1 col4\" >87.46</td>\n",
- " <td id=\"T_2afd9_row1_col5\" class=\"data row1 col5\" >3.71</td>\n",
- " <td id=\"T_2afd9_row1_col6\" class=\"data row1 col6\" >96.18</td>\n",
- " <td id=\"T_2afd9_row1_col7\" class=\"data row1 col7\" >3.30</td>\n",
- " <td id=\"T_2afd9_row1_col8\" class=\"data row1 col8\" >1.35</td>\n",
- " <td id=\"T_2afd9_row1_col9\" class=\"data row1 col9\" >0.08</td>\n",
- " <td id=\"T_2afd9_row1_col10\" class=\"data row1 col10\" >34.77</td>\n",
- " <td id=\"T_2afd9_row1_col11\" class=\"data row1 col11\" >2.58</td>\n",
- " <td id=\"T_2afd9_row1_col12\" class=\"data row1 col12\" >74.80</td>\n",
- " <td id=\"T_2afd9_row1_col13\" class=\"data row1 col13\" >2.52</td>\n",
- " <td id=\"T_2afd9_row1_col14\" class=\"data row1 col14\" >0.63</td>\n",
- " <td id=\"T_2afd9_row1_col15\" class=\"data row1 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2afd9_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
- " <td id=\"T_2afd9_row2_col0\" class=\"data row2 col0\" >78.72</td>\n",
- " <td id=\"T_2afd9_row2_col1\" class=\"data row2 col1\" >4.98</td>\n",
- " <td id=\"T_2afd9_row2_col2\" class=\"data row2 col2\" >79.84</td>\n",
- " <td id=\"T_2afd9_row2_col3\" class=\"data row2 col3\" >4.26</td>\n",
- " <td id=\"T_2afd9_row2_col4\" class=\"data row2 col4\" >88.53</td>\n",
- " <td id=\"T_2afd9_row2_col5\" class=\"data row2 col5\" >3.85</td>\n",
- " <td id=\"T_2afd9_row2_col6\" class=\"data row2 col6\" >97.08</td>\n",
- " <td id=\"T_2afd9_row2_col7\" class=\"data row2 col7\" >3.02</td>\n",
- " <td id=\"T_2afd9_row2_col8\" class=\"data row2 col8\" >1.22</td>\n",
- " <td id=\"T_2afd9_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_2afd9_row2_col10\" class=\"data row2 col10\" >7.40</td>\n",
- " <td id=\"T_2afd9_row2_col11\" class=\"data row2 col11\" >2.13</td>\n",
- " <td id=\"T_2afd9_row2_col12\" class=\"data row2 col12\" >74.52</td>\n",
- " <td id=\"T_2afd9_row2_col13\" class=\"data row2 col13\" >2.47</td>\n",
- " <td id=\"T_2afd9_row2_col14\" class=\"data row2 col14\" >0.13</td>\n",
- " <td id=\"T_2afd9_row2_col15\" class=\"data row2 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2afd9_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
- " <td id=\"T_2afd9_row3_col0\" class=\"data row3 col0\" >78.80</td>\n",
- " <td id=\"T_2afd9_row3_col1\" class=\"data row3 col1\" >5.02</td>\n",
- " <td id=\"T_2afd9_row3_col2\" class=\"data row3 col2\" >79.81</td>\n",
- " <td id=\"T_2afd9_row3_col3\" class=\"data row3 col3\" >4.25</td>\n",
- " <td id=\"T_2afd9_row3_col4\" class=\"data row3 col4\" >89.29</td>\n",
- " <td id=\"T_2afd9_row3_col5\" class=\"data row3 col5\" >3.69</td>\n",
- " <td id=\"T_2afd9_row3_col6\" class=\"data row3 col6\" >97.28</td>\n",
- " <td id=\"T_2afd9_row3_col7\" class=\"data row3 col7\" >2.82</td>\n",
- " <td id=\"T_2afd9_row3_col8\" class=\"data row3 col8\" >1.17</td>\n",
- " <td id=\"T_2afd9_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_2afd9_row3_col10\" class=\"data row3 col10\" >2.56</td>\n",
- " <td id=\"T_2afd9_row3_col11\" class=\"data row3 col11\" >1.10</td>\n",
- " <td id=\"T_2afd9_row3_col12\" class=\"data row3 col12\" >74.28</td>\n",
- " <td id=\"T_2afd9_row3_col13\" class=\"data row3 col13\" >2.51</td>\n",
- " <td id=\"T_2afd9_row3_col14\" class=\"data row3 col14\" >0.05</td>\n",
- " <td id=\"T_2afd9_row3_col15\" class=\"data row3 col15\" >0.02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2afd9_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
- " <td id=\"T_2afd9_row4_col0\" class=\"data row4 col0\" >78.53</td>\n",
- " <td id=\"T_2afd9_row4_col1\" class=\"data row4 col1\" >5.03</td>\n",
- " <td id=\"T_2afd9_row4_col2\" class=\"data row4 col2\" >79.56</td>\n",
- " <td id=\"T_2afd9_row4_col3\" class=\"data row4 col3\" >4.18</td>\n",
- " <td id=\"T_2afd9_row4_col4\" class=\"data row4 col4\" >89.77</td>\n",
- " <td id=\"T_2afd9_row4_col5\" class=\"data row4 col5\" >3.76</td>\n",
- " <td id=\"T_2afd9_row4_col6\" class=\"data row4 col6\" >97.40</td>\n",
- " <td id=\"T_2afd9_row4_col7\" class=\"data row4 col7\" >2.82</td>\n",
- " <td id=\"T_2afd9_row4_col8\" class=\"data row4 col8\" >1.13</td>\n",
- " <td id=\"T_2afd9_row4_col9\" class=\"data row4 col9\" >0.06</td>\n",
- " <td id=\"T_2afd9_row4_col10\" class=\"data row4 col10\" >0.87</td>\n",
- " <td id=\"T_2afd9_row4_col11\" class=\"data row4 col11\" >0.62</td>\n",
- " <td id=\"T_2afd9_row4_col12\" class=\"data row4 col12\" >74.21</td>\n",
- " <td id=\"T_2afd9_row4_col13\" class=\"data row4 col13\" >2.53</td>\n",
- " <td id=\"T_2afd9_row4_col14\" class=\"data row4 col14\" >0.02</td>\n",
- " <td id=\"T_2afd9_row4_col15\" class=\"data row4 col15\" >0.01</td>\n",
+ " <th id=\"T_0552a_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_0552a_row0_col0\" class=\"data row0 col0\" >78.53</td>\n",
+ " <td id=\"T_0552a_row0_col1\" class=\"data row0 col1\" >5.03</td>\n",
+ " <td id=\"T_0552a_row0_col2\" class=\"data row0 col2\" >79.56</td>\n",
+ " <td id=\"T_0552a_row0_col3\" class=\"data row0 col3\" >4.18</td>\n",
+ " <td id=\"T_0552a_row0_col4\" class=\"data row0 col4\" >89.77</td>\n",
+ " <td id=\"T_0552a_row0_col5\" class=\"data row0 col5\" >3.76</td>\n",
+ " <td id=\"T_0552a_row0_col6\" class=\"data row0 col6\" >97.40</td>\n",
+ " <td id=\"T_0552a_row0_col7\" class=\"data row0 col7\" >2.82</td>\n",
+ " <td id=\"T_0552a_row0_col8\" class=\"data row0 col8\" >1.13</td>\n",
+ " <td id=\"T_0552a_row0_col9\" class=\"data row0 col9\" >0.06</td>\n",
+ " <td id=\"T_0552a_row0_col10\" class=\"data row0 col10\" >35.76</td>\n",
+ " <td id=\"T_0552a_row0_col11\" class=\"data row0 col11\" >2.61</td>\n",
+ " <td id=\"T_0552a_row0_col12\" class=\"data row0 col12\" >74.21</td>\n",
+ " <td id=\"T_0552a_row0_col13\" class=\"data row0 col13\" >2.53</td>\n",
+ " <td id=\"T_0552a_row0_col14\" class=\"data row0 col14\" >0.65</td>\n",
+ " <td id=\"T_0552a_row0_col15\" class=\"data row0 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_0552a_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_0552a_row1_col0\" class=\"data row1 col0\" >78.74</td>\n",
+ " <td id=\"T_0552a_row1_col1\" class=\"data row1 col1\" >4.99</td>\n",
+ " <td id=\"T_0552a_row1_col2\" class=\"data row1 col2\" >79.86</td>\n",
+ " <td id=\"T_0552a_row1_col3\" class=\"data row1 col3\" >4.20</td>\n",
+ " <td id=\"T_0552a_row1_col4\" class=\"data row1 col4\" >87.46</td>\n",
+ " <td id=\"T_0552a_row1_col5\" class=\"data row1 col5\" >3.71</td>\n",
+ " <td id=\"T_0552a_row1_col6\" class=\"data row1 col6\" >96.18</td>\n",
+ " <td id=\"T_0552a_row1_col7\" class=\"data row1 col7\" >3.30</td>\n",
+ " <td id=\"T_0552a_row1_col8\" class=\"data row1 col8\" >1.35</td>\n",
+ " <td id=\"T_0552a_row1_col9\" class=\"data row1 col9\" >0.08</td>\n",
+ " <td id=\"T_0552a_row1_col10\" class=\"data row1 col10\" >34.77</td>\n",
+ " <td id=\"T_0552a_row1_col11\" class=\"data row1 col11\" >2.58</td>\n",
+ " <td id=\"T_0552a_row1_col12\" class=\"data row1 col12\" >74.80</td>\n",
+ " <td id=\"T_0552a_row1_col13\" class=\"data row1 col13\" >2.52</td>\n",
+ " <td id=\"T_0552a_row1_col14\" class=\"data row1 col14\" >0.63</td>\n",
+ " <td id=\"T_0552a_row1_col15\" class=\"data row1 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_0552a_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_0552a_row2_col0\" class=\"data row2 col0\" >78.72</td>\n",
+ " <td id=\"T_0552a_row2_col1\" class=\"data row2 col1\" >4.98</td>\n",
+ " <td id=\"T_0552a_row2_col2\" class=\"data row2 col2\" >79.84</td>\n",
+ " <td id=\"T_0552a_row2_col3\" class=\"data row2 col3\" >4.26</td>\n",
+ " <td id=\"T_0552a_row2_col4\" class=\"data row2 col4\" >88.53</td>\n",
+ " <td id=\"T_0552a_row2_col5\" class=\"data row2 col5\" >3.85</td>\n",
+ " <td id=\"T_0552a_row2_col6\" class=\"data row2 col6\" >97.08</td>\n",
+ " <td id=\"T_0552a_row2_col7\" class=\"data row2 col7\" >3.02</td>\n",
+ " <td id=\"T_0552a_row2_col8\" class=\"data row2 col8\" >1.22</td>\n",
+ " <td id=\"T_0552a_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_0552a_row2_col10\" class=\"data row2 col10\" >7.40</td>\n",
+ " <td id=\"T_0552a_row2_col11\" class=\"data row2 col11\" >2.13</td>\n",
+ " <td id=\"T_0552a_row2_col12\" class=\"data row2 col12\" >74.52</td>\n",
+ " <td id=\"T_0552a_row2_col13\" class=\"data row2 col13\" >2.47</td>\n",
+ " <td id=\"T_0552a_row2_col14\" class=\"data row2 col14\" >0.13</td>\n",
+ " <td id=\"T_0552a_row2_col15\" class=\"data row2 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_0552a_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_0552a_row3_col0\" class=\"data row3 col0\" >78.80</td>\n",
+ " <td id=\"T_0552a_row3_col1\" class=\"data row3 col1\" >5.02</td>\n",
+ " <td id=\"T_0552a_row3_col2\" class=\"data row3 col2\" >79.81</td>\n",
+ " <td id=\"T_0552a_row3_col3\" class=\"data row3 col3\" >4.25</td>\n",
+ " <td id=\"T_0552a_row3_col4\" class=\"data row3 col4\" >89.29</td>\n",
+ " <td id=\"T_0552a_row3_col5\" class=\"data row3 col5\" >3.69</td>\n",
+ " <td id=\"T_0552a_row3_col6\" class=\"data row3 col6\" >97.28</td>\n",
+ " <td id=\"T_0552a_row3_col7\" class=\"data row3 col7\" >2.82</td>\n",
+ " <td id=\"T_0552a_row3_col8\" class=\"data row3 col8\" >1.17</td>\n",
+ " <td id=\"T_0552a_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_0552a_row3_col10\" class=\"data row3 col10\" >2.56</td>\n",
+ " <td id=\"T_0552a_row3_col11\" class=\"data row3 col11\" >1.10</td>\n",
+ " <td id=\"T_0552a_row3_col12\" class=\"data row3 col12\" >74.28</td>\n",
+ " <td id=\"T_0552a_row3_col13\" class=\"data row3 col13\" >2.51</td>\n",
+ " <td id=\"T_0552a_row3_col14\" class=\"data row3 col14\" >0.05</td>\n",
+ " <td id=\"T_0552a_row3_col15\" class=\"data row3 col15\" >0.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_0552a_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_0552a_row4_col0\" class=\"data row4 col0\" >78.53</td>\n",
+ " <td id=\"T_0552a_row4_col1\" class=\"data row4 col1\" >5.03</td>\n",
+ " <td id=\"T_0552a_row4_col2\" class=\"data row4 col2\" >79.56</td>\n",
+ " <td id=\"T_0552a_row4_col3\" class=\"data row4 col3\" >4.18</td>\n",
+ " <td id=\"T_0552a_row4_col4\" class=\"data row4 col4\" >89.77</td>\n",
+ " <td id=\"T_0552a_row4_col5\" class=\"data row4 col5\" >3.76</td>\n",
+ " <td id=\"T_0552a_row4_col6\" class=\"data row4 col6\" >97.40</td>\n",
+ " <td id=\"T_0552a_row4_col7\" class=\"data row4 col7\" >2.82</td>\n",
+ " <td id=\"T_0552a_row4_col8\" class=\"data row4 col8\" >1.13</td>\n",
+ " <td id=\"T_0552a_row4_col9\" class=\"data row4 col9\" >0.06</td>\n",
+ " <td id=\"T_0552a_row4_col10\" class=\"data row4 col10\" >0.87</td>\n",
+ " <td id=\"T_0552a_row4_col11\" class=\"data row4 col11\" >0.62</td>\n",
+ " <td id=\"T_0552a_row4_col12\" class=\"data row4 col12\" >74.21</td>\n",
+ " <td id=\"T_0552a_row4_col13\" class=\"data row4 col13\" >2.53</td>\n",
+ " <td id=\"T_0552a_row4_col14\" class=\"data row4 col14\" >0.02</td>\n",
+ " <td id=\"T_0552a_row4_col15\" class=\"data row4 col15\" >0.01</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7a4a581d3890>"
+ "<pandas.io.formats.style.Styler at 0x700ff2a7bcd0>"
]
},
"metadata": {},
@@ -1913,122 +1915,4300 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.plot_graph(\"large\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_bidded(\"large\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_qos(\"large\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_money_and_energy(\"large\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Medium"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.plot_graph(\"medium\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_bidded(\"medium\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_qos(\"medium\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_money_and_energy(\"medium\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Small"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.plot_graph(\"small\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_bidded(\"small\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_qos(\"small\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
+ "execution_count": 6,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_b52a3 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_b52a3 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_b52a3_row0_col0, #T_b52a3_row16_col0 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row0_col2, #T_b52a3_row16_col2 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row1_col0, #T_b52a3_row2_col0, #T_b52a3_row17_col0, #T_b52a3_row18_col0 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row1_col2, #T_b52a3_row12_col0, #T_b52a3_row17_col2 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row2_col2, #T_b52a3_row18_col2 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row3_col0, #T_b52a3_row19_col0 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row3_col2, #T_b52a3_row19_col2 {\n",
+ " background-color: #75fb75;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row4_col0, #T_b52a3_row8_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row4_col2 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row5_col0 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row5_col2, #T_b52a3_row7_col2 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row6_col0 {\n",
+ " background-color: #bcf6bc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row6_col2 {\n",
+ " background-color: #7ffa7f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row7_col0 {\n",
+ " background-color: #b9f6b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row8_col0 {\n",
+ " background-color: #5afc5a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row9_col0 {\n",
+ " background-color: #58fd58;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row9_col2 {\n",
+ " background-color: #35ff35;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row10_col0 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row10_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row11_col0 {\n",
+ " background-color: #d7f4d7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row11_col2 {\n",
+ " background-color: #b7f6b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row12_col2, #T_b52a3_row13_col2 {\n",
+ " background-color: #50fd50;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row13_col0 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row14_col0 {\n",
+ " background-color: #80fa80;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row14_col2 {\n",
+ " background-color: #55fd55;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b52a3_row15_col0, #T_b52a3_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_b52a3\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_b52a3_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_b52a3_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_b52a3_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_b52a3_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_b52a3_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_b52a3_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_b52a3_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_b52a3_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_b52a3_row0_col0\" class=\"data row0 col0\" >17.41</td>\n",
+ " <td id=\"T_b52a3_row0_col1\" class=\"data row0 col1\" >2.46</td>\n",
+ " <td id=\"T_b52a3_row0_col2\" class=\"data row0 col2\" >18.09</td>\n",
+ " <td id=\"T_b52a3_row0_col3\" class=\"data row0 col3\" >2.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_b52a3_row1_col0\" class=\"data row1 col0\" >18.13</td>\n",
+ " <td id=\"T_b52a3_row1_col1\" class=\"data row1 col1\" >2.48</td>\n",
+ " <td id=\"T_b52a3_row1_col2\" class=\"data row1 col2\" >17.75</td>\n",
+ " <td id=\"T_b52a3_row1_col3\" class=\"data row1 col3\" >2.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_b52a3_row2_col0\" class=\"data row2 col0\" >18.13</td>\n",
+ " <td id=\"T_b52a3_row2_col1\" class=\"data row2 col1\" >2.20</td>\n",
+ " <td id=\"T_b52a3_row2_col2\" class=\"data row2 col2\" >17.90</td>\n",
+ " <td id=\"T_b52a3_row2_col3\" class=\"data row2 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_b52a3_row3_col0\" class=\"data row3 col0\" >18.18</td>\n",
+ " <td id=\"T_b52a3_row3_col1\" class=\"data row3 col1\" >2.46</td>\n",
+ " <td id=\"T_b52a3_row3_col2\" class=\"data row3 col2\" >18.27</td>\n",
+ " <td id=\"T_b52a3_row3_col3\" class=\"data row3 col3\" >2.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_b52a3_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_b52a3_row4_col0\" class=\"data row4 col0\" >33.39</td>\n",
+ " <td id=\"T_b52a3_row4_col1\" class=\"data row4 col1\" >3.80</td>\n",
+ " <td id=\"T_b52a3_row4_col2\" class=\"data row4 col2\" >20.72</td>\n",
+ " <td id=\"T_b52a3_row4_col3\" class=\"data row4 col3\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_b52a3_row5_col0\" class=\"data row5 col0\" >13.08</td>\n",
+ " <td id=\"T_b52a3_row5_col1\" class=\"data row5 col1\" >2.45</td>\n",
+ " <td id=\"T_b52a3_row5_col2\" class=\"data row5 col2\" >17.14</td>\n",
+ " <td id=\"T_b52a3_row5_col3\" class=\"data row5 col3\" >2.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_b52a3_row6_col0\" class=\"data row6 col0\" >12.51</td>\n",
+ " <td id=\"T_b52a3_row6_col1\" class=\"data row6 col1\" >1.96</td>\n",
+ " <td id=\"T_b52a3_row6_col2\" class=\"data row6 col2\" >17.45</td>\n",
+ " <td id=\"T_b52a3_row6_col3\" class=\"data row6 col3\" >2.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_b52a3_row7_col0\" class=\"data row7 col0\" >12.94</td>\n",
+ " <td id=\"T_b52a3_row7_col1\" class=\"data row7 col1\" >2.07</td>\n",
+ " <td id=\"T_b52a3_row7_col2\" class=\"data row7 col2\" >17.08</td>\n",
+ " <td id=\"T_b52a3_row7_col3\" class=\"data row7 col3\" >2.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_b52a3_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_b52a3_row8_col0\" class=\"data row8 col0\" >27.52</td>\n",
+ " <td id=\"T_b52a3_row8_col1\" class=\"data row8 col1\" >2.87</td>\n",
+ " <td id=\"T_b52a3_row8_col2\" class=\"data row8 col2\" >23.47</td>\n",
+ " <td id=\"T_b52a3_row8_col3\" class=\"data row8 col3\" >3.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_b52a3_row9_col0\" class=\"data row9 col0\" >27.88</td>\n",
+ " <td id=\"T_b52a3_row9_col1\" class=\"data row9 col1\" >2.82</td>\n",
+ " <td id=\"T_b52a3_row9_col2\" class=\"data row9 col2\" >23.38</td>\n",
+ " <td id=\"T_b52a3_row9_col3\" class=\"data row9 col3\" >3.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_b52a3_row10_col0\" class=\"data row10 col0\" >8.11</td>\n",
+ " <td id=\"T_b52a3_row10_col1\" class=\"data row10 col1\" >1.73</td>\n",
+ " <td id=\"T_b52a3_row10_col2\" class=\"data row10 col2\" >12.50</td>\n",
+ " <td id=\"T_b52a3_row10_col3\" class=\"data row10 col3\" >2.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_b52a3_row11_col0\" class=\"data row11 col0\" >8.29</td>\n",
+ " <td id=\"T_b52a3_row11_col1\" class=\"data row11 col1\" >1.78</td>\n",
+ " <td id=\"T_b52a3_row11_col2\" class=\"data row11 col2\" >13.00</td>\n",
+ " <td id=\"T_b52a3_row11_col3\" class=\"data row11 col3\" >2.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_b52a3_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_b52a3_row12_col0\" class=\"data row12 col0\" >22.23</td>\n",
+ " <td id=\"T_b52a3_row12_col1\" class=\"data row12 col1\" >2.35</td>\n",
+ " <td id=\"T_b52a3_row12_col2\" class=\"data row12 col2\" >21.19</td>\n",
+ " <td id=\"T_b52a3_row12_col3\" class=\"data row12 col3\" >2.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_b52a3_row13_col0\" class=\"data row13 col0\" >22.58</td>\n",
+ " <td id=\"T_b52a3_row13_col1\" class=\"data row13 col1\" >2.44</td>\n",
+ " <td id=\"T_b52a3_row13_col2\" class=\"data row13 col2\" >21.24</td>\n",
+ " <td id=\"T_b52a3_row13_col3\" class=\"data row13 col3\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_b52a3_row14_col0\" class=\"data row14 col0\" >21.70</td>\n",
+ " <td id=\"T_b52a3_row14_col1\" class=\"data row14 col1\" >2.51</td>\n",
+ " <td id=\"T_b52a3_row14_col2\" class=\"data row14 col2\" >20.82</td>\n",
+ " <td id=\"T_b52a3_row14_col3\" class=\"data row14 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_b52a3_row15_col0\" class=\"data row15 col0\" >5.30</td>\n",
+ " <td id=\"T_b52a3_row15_col1\" class=\"data row15 col1\" >1.30</td>\n",
+ " <td id=\"T_b52a3_row15_col2\" class=\"data row15 col2\" >8.85</td>\n",
+ " <td id=\"T_b52a3_row15_col3\" class=\"data row15 col3\" >1.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_b52a3_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_b52a3_row16_col0\" class=\"data row16 col0\" >17.41</td>\n",
+ " <td id=\"T_b52a3_row16_col1\" class=\"data row16 col1\" >2.46</td>\n",
+ " <td id=\"T_b52a3_row16_col2\" class=\"data row16 col2\" >18.09</td>\n",
+ " <td id=\"T_b52a3_row16_col3\" class=\"data row16 col3\" >2.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_b52a3_row17_col0\" class=\"data row17 col0\" >18.13</td>\n",
+ " <td id=\"T_b52a3_row17_col1\" class=\"data row17 col1\" >2.48</td>\n",
+ " <td id=\"T_b52a3_row17_col2\" class=\"data row17 col2\" >17.75</td>\n",
+ " <td id=\"T_b52a3_row17_col3\" class=\"data row17 col3\" >2.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_b52a3_row18_col0\" class=\"data row18 col0\" >18.13</td>\n",
+ " <td id=\"T_b52a3_row18_col1\" class=\"data row18 col1\" >2.20</td>\n",
+ " <td id=\"T_b52a3_row18_col2\" class=\"data row18 col2\" >17.90</td>\n",
+ " <td id=\"T_b52a3_row18_col3\" class=\"data row18 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b52a3_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_b52a3_row19_col0\" class=\"data row19 col0\" >18.18</td>\n",
+ " <td id=\"T_b52a3_row19_col1\" class=\"data row19 col1\" >2.46</td>\n",
+ " <td id=\"T_b52a3_row19_col2\" class=\"data row19 col2\" >18.27</td>\n",
+ " <td id=\"T_b52a3_row19_col3\" class=\"data row19 col3\" >2.55</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff2851c10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_3acd3 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_3acd3 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_3acd3_row0_col0, #T_3acd3_row4_col0 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3acd3_row0_col2, #T_3acd3_row2_col0, #T_3acd3_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3acd3_row1_col0, #T_3acd3_row1_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3acd3_row2_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3acd3_row3_col0 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3acd3_row3_col2 {\n",
+ " background-color: #c1f6c1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_3acd3\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_3acd3_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_3acd3_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_3acd3_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_3acd3_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_3acd3_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_3acd3_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_3acd3_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_3acd3_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_3acd3_row0_col0\" class=\"data row0 col0\" >71.84</td>\n",
+ " <td id=\"T_3acd3_row0_col1\" class=\"data row0 col1\" >3.39</td>\n",
+ " <td id=\"T_3acd3_row0_col2\" class=\"data row0 col2\" >72.02</td>\n",
+ " <td id=\"T_3acd3_row0_col3\" class=\"data row0 col3\" >3.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3acd3_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_3acd3_row1_col0\" class=\"data row1 col0\" >71.92</td>\n",
+ " <td id=\"T_3acd3_row1_col1\" class=\"data row1 col1\" >3.20</td>\n",
+ " <td id=\"T_3acd3_row1_col2\" class=\"data row1 col2\" >72.39</td>\n",
+ " <td id=\"T_3acd3_row1_col3\" class=\"data row1 col3\" >3.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3acd3_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_3acd3_row2_col0\" class=\"data row2 col0\" >71.80</td>\n",
+ " <td id=\"T_3acd3_row2_col1\" class=\"data row2 col1\" >3.30</td>\n",
+ " <td id=\"T_3acd3_row2_col2\" class=\"data row2 col2\" >72.36</td>\n",
+ " <td id=\"T_3acd3_row2_col3\" class=\"data row2 col3\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3acd3_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_3acd3_row3_col0\" class=\"data row3 col0\" >71.81</td>\n",
+ " <td id=\"T_3acd3_row3_col1\" class=\"data row3 col1\" >3.25</td>\n",
+ " <td id=\"T_3acd3_row3_col2\" class=\"data row3 col2\" >72.10</td>\n",
+ " <td id=\"T_3acd3_row3_col3\" class=\"data row3 col3\" >3.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3acd3_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_3acd3_row4_col0\" class=\"data row4 col0\" >71.84</td>\n",
+ " <td id=\"T_3acd3_row4_col1\" class=\"data row4 col1\" >3.39</td>\n",
+ " <td id=\"T_3acd3_row4_col2\" class=\"data row4 col2\" >72.02</td>\n",
+ " <td id=\"T_3acd3_row4_col3\" class=\"data row4 col3\" >3.06</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff39e2350>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_bidded(\"large\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_4e3af td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_4e3af th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_4e3af_row0_col0, #T_4e3af_row2_col2, #T_4e3af_row16_col0, #T_4e3af_row18_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row0_col2, #T_4e3af_row1_col2, #T_4e3af_row12_col2, #T_4e3af_row16_col2, #T_4e3af_row17_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row0_col4, #T_4e3af_row3_col4, #T_4e3af_row16_col4, #T_4e3af_row19_col4 {\n",
+ " background-color: #f3eaea;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row1_col0, #T_4e3af_row17_col0 {\n",
+ " background-color: #41fe41;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row1_col4, #T_4e3af_row7_col4, #T_4e3af_row17_col4 {\n",
+ " background-color: #f3ecec;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row2_col0, #T_4e3af_row14_col2, #T_4e3af_row18_col0 {\n",
+ " background-color: #4afe4a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row2_col4, #T_4e3af_row18_col4 {\n",
+ " background-color: #f3ebeb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row3_col0, #T_4e3af_row13_col2, #T_4e3af_row19_col0 {\n",
+ " background-color: #45fe45;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row3_col2, #T_4e3af_row19_col2 {\n",
+ " background-color: #52fd52;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row4_col0 {\n",
+ " background-color: #aff7af;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row4_col2, #T_4e3af_row15_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row4_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_4e3af_row5_col0 {\n",
+ " background-color: #59fd59;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row5_col2 {\n",
+ " background-color: #46fe46;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row5_col4 {\n",
+ " background-color: #f3eeee;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row6_col0 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row6_col2, #T_4e3af_row7_col0 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row6_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row7_col2 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row8_col0, #T_4e3af_row8_col2 {\n",
+ " background-color: #64fc64;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row8_col4 {\n",
+ " background-color: #f88282;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_4e3af_row9_col0 {\n",
+ " background-color: #4cfd4c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row9_col2 {\n",
+ " background-color: #5dfc5d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row9_col4 {\n",
+ " background-color: #f88686;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_4e3af_row10_col0 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row10_col2 {\n",
+ " background-color: #82fa82;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row10_col4 {\n",
+ " background-color: #f4e0e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row11_col0 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row11_col2, #T_4e3af_row15_col2 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row11_col4 {\n",
+ " background-color: #f4dede;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row12_col0 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row12_col4 {\n",
+ " background-color: #f4d0d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row13_col0 {\n",
+ " background-color: #3efe3e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row13_col4 {\n",
+ " background-color: #f5c5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row14_col0 {\n",
+ " background-color: #39ff39;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row14_col4 {\n",
+ " background-color: #f5c9c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e3af_row15_col4 {\n",
+ " background-color: #f5caca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_4e3af\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_4e3af_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_4e3af_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_4e3af_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_4e3af_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_4e3af_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_4e3af_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_4e3af_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_4e3af_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_4e3af_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_4e3af_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_4e3af_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_4e3af_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_4e3af_row0_col0\" class=\"data row0 col0\" >89.08</td>\n",
+ " <td id=\"T_4e3af_row0_col1\" class=\"data row0 col1\" >4.02</td>\n",
+ " <td id=\"T_4e3af_row0_col2\" class=\"data row0 col2\" >97.21</td>\n",
+ " <td id=\"T_4e3af_row0_col3\" class=\"data row0 col3\" >3.81</td>\n",
+ " <td id=\"T_4e3af_row0_col4\" class=\"data row0 col4\" >1.34</td>\n",
+ " <td id=\"T_4e3af_row0_col5\" class=\"data row0 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_4e3af_row1_col0\" class=\"data row1 col0\" >88.27</td>\n",
+ " <td id=\"T_4e3af_row1_col1\" class=\"data row1 col1\" >4.37</td>\n",
+ " <td id=\"T_4e3af_row1_col2\" class=\"data row1 col2\" >97.19</td>\n",
+ " <td id=\"T_4e3af_row1_col3\" class=\"data row1 col3\" >2.65</td>\n",
+ " <td id=\"T_4e3af_row1_col4\" class=\"data row1 col4\" >1.33</td>\n",
+ " <td id=\"T_4e3af_row1_col5\" class=\"data row1 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_4e3af_row2_col0\" class=\"data row2 col0\" >87.72</td>\n",
+ " <td id=\"T_4e3af_row2_col1\" class=\"data row2 col1\" >4.37</td>\n",
+ " <td id=\"T_4e3af_row2_col2\" class=\"data row2 col2\" >97.54</td>\n",
+ " <td id=\"T_4e3af_row2_col3\" class=\"data row2 col3\" >2.61</td>\n",
+ " <td id=\"T_4e3af_row2_col4\" class=\"data row2 col4\" >1.34</td>\n",
+ " <td id=\"T_4e3af_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_4e3af_row3_col0\" class=\"data row3 col0\" >88.03</td>\n",
+ " <td id=\"T_4e3af_row3_col1\" class=\"data row3 col1\" >4.51</td>\n",
+ " <td id=\"T_4e3af_row3_col2\" class=\"data row3 col2\" >96.46</td>\n",
+ " <td id=\"T_4e3af_row3_col3\" class=\"data row3 col3\" >4.69</td>\n",
+ " <td id=\"T_4e3af_row3_col4\" class=\"data row3 col4\" >1.34</td>\n",
+ " <td id=\"T_4e3af_row3_col5\" class=\"data row3 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_4e3af_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_4e3af_row4_col0\" class=\"data row4 col0\" >81.71</td>\n",
+ " <td id=\"T_4e3af_row4_col1\" class=\"data row4 col1\" >5.42</td>\n",
+ " <td id=\"T_4e3af_row4_col2\" class=\"data row4 col2\" >91.08</td>\n",
+ " <td id=\"T_4e3af_row4_col3\" class=\"data row4 col3\" >5.06</td>\n",
+ " <td id=\"T_4e3af_row4_col4\" class=\"data row4 col4\" >2.16</td>\n",
+ " <td id=\"T_4e3af_row4_col5\" class=\"data row4 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_4e3af_row5_col0\" class=\"data row5 col0\" >86.90</td>\n",
+ " <td id=\"T_4e3af_row5_col1\" class=\"data row5 col1\" >4.50</td>\n",
+ " <td id=\"T_4e3af_row5_col2\" class=\"data row5 col2\" >96.88</td>\n",
+ " <td id=\"T_4e3af_row5_col3\" class=\"data row5 col3\" >3.61</td>\n",
+ " <td id=\"T_4e3af_row5_col4\" class=\"data row5 col4\" >1.32</td>\n",
+ " <td id=\"T_4e3af_row5_col5\" class=\"data row5 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_4e3af_row6_col0\" class=\"data row6 col0\" >87.02</td>\n",
+ " <td id=\"T_4e3af_row6_col1\" class=\"data row6 col1\" >4.47</td>\n",
+ " <td id=\"T_4e3af_row6_col2\" class=\"data row6 col2\" >96.04</td>\n",
+ " <td id=\"T_4e3af_row6_col3\" class=\"data row6 col3\" >4.53</td>\n",
+ " <td id=\"T_4e3af_row6_col4\" class=\"data row6 col4\" >1.32</td>\n",
+ " <td id=\"T_4e3af_row6_col5\" class=\"data row6 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_4e3af_row7_col0\" class=\"data row7 col0\" >86.54</td>\n",
+ " <td id=\"T_4e3af_row7_col1\" class=\"data row7 col1\" >4.54</td>\n",
+ " <td id=\"T_4e3af_row7_col2\" class=\"data row7 col2\" >95.86</td>\n",
+ " <td id=\"T_4e3af_row7_col3\" class=\"data row7 col3\" >4.25</td>\n",
+ " <td id=\"T_4e3af_row7_col4\" class=\"data row7 col4\" >1.33</td>\n",
+ " <td id=\"T_4e3af_row7_col5\" class=\"data row7 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_4e3af_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_4e3af_row8_col0\" class=\"data row8 col0\" >86.18</td>\n",
+ " <td id=\"T_4e3af_row8_col1\" class=\"data row8 col1\" >3.58</td>\n",
+ " <td id=\"T_4e3af_row8_col2\" class=\"data row8 col2\" >95.84</td>\n",
+ " <td id=\"T_4e3af_row8_col3\" class=\"data row8 col3\" >4.06</td>\n",
+ " <td id=\"T_4e3af_row8_col4\" class=\"data row8 col4\" >1.70</td>\n",
+ " <td id=\"T_4e3af_row8_col5\" class=\"data row8 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_4e3af_row9_col0\" class=\"data row9 col0\" >87.61</td>\n",
+ " <td id=\"T_4e3af_row9_col1\" class=\"data row9 col1\" >3.55</td>\n",
+ " <td id=\"T_4e3af_row9_col2\" class=\"data row9 col2\" >96.09</td>\n",
+ " <td id=\"T_4e3af_row9_col3\" class=\"data row9 col3\" >3.57</td>\n",
+ " <td id=\"T_4e3af_row9_col4\" class=\"data row9 col4\" >1.69</td>\n",
+ " <td id=\"T_4e3af_row9_col5\" class=\"data row9 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_4e3af_row10_col0\" class=\"data row10 col0\" >83.85</td>\n",
+ " <td id=\"T_4e3af_row10_col1\" class=\"data row10 col1\" >5.68</td>\n",
+ " <td id=\"T_4e3af_row10_col2\" class=\"data row10 col2\" >94.77</td>\n",
+ " <td id=\"T_4e3af_row10_col3\" class=\"data row10 col3\" >6.36</td>\n",
+ " <td id=\"T_4e3af_row10_col4\" class=\"data row10 col4\" >1.37</td>\n",
+ " <td id=\"T_4e3af_row10_col5\" class=\"data row10 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_4e3af_row11_col0\" class=\"data row11 col0\" >82.89</td>\n",
+ " <td id=\"T_4e3af_row11_col1\" class=\"data row11 col1\" >6.31</td>\n",
+ " <td id=\"T_4e3af_row11_col2\" class=\"data row11 col2\" >93.42</td>\n",
+ " <td id=\"T_4e3af_row11_col3\" class=\"data row11 col3\" >8.09</td>\n",
+ " <td id=\"T_4e3af_row11_col4\" class=\"data row11 col4\" >1.38</td>\n",
+ " <td id=\"T_4e3af_row11_col5\" class=\"data row11 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_4e3af_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_4e3af_row12_col0\" class=\"data row12 col0\" >88.44</td>\n",
+ " <td id=\"T_4e3af_row12_col1\" class=\"data row12 col1\" >3.55</td>\n",
+ " <td id=\"T_4e3af_row12_col2\" class=\"data row12 col2\" >97.22</td>\n",
+ " <td id=\"T_4e3af_row12_col3\" class=\"data row12 col3\" >3.00</td>\n",
+ " <td id=\"T_4e3af_row12_col4\" class=\"data row12 col4\" >1.43</td>\n",
+ " <td id=\"T_4e3af_row12_col5\" class=\"data row12 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_4e3af_row13_col0\" class=\"data row13 col0\" >88.45</td>\n",
+ " <td id=\"T_4e3af_row13_col1\" class=\"data row13 col1\" >3.58</td>\n",
+ " <td id=\"T_4e3af_row13_col2\" class=\"data row13 col2\" >96.92</td>\n",
+ " <td id=\"T_4e3af_row13_col3\" class=\"data row13 col3\" >2.91</td>\n",
+ " <td id=\"T_4e3af_row13_col4\" class=\"data row13 col4\" >1.47</td>\n",
+ " <td id=\"T_4e3af_row13_col5\" class=\"data row13 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_4e3af_row14_col0\" class=\"data row14 col0\" >88.75</td>\n",
+ " <td id=\"T_4e3af_row14_col1\" class=\"data row14 col1\" >3.72</td>\n",
+ " <td id=\"T_4e3af_row14_col2\" class=\"data row14 col2\" >96.75</td>\n",
+ " <td id=\"T_4e3af_row14_col3\" class=\"data row14 col3\" >3.33</td>\n",
+ " <td id=\"T_4e3af_row14_col4\" class=\"data row14 col4\" >1.45</td>\n",
+ " <td id=\"T_4e3af_row14_col5\" class=\"data row14 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_4e3af_row15_col0\" class=\"data row15 col0\" >78.16</td>\n",
+ " <td id=\"T_4e3af_row15_col1\" class=\"data row15 col1\" >7.58</td>\n",
+ " <td id=\"T_4e3af_row15_col2\" class=\"data row15 col2\" >93.38</td>\n",
+ " <td id=\"T_4e3af_row15_col3\" class=\"data row15 col3\" >8.05</td>\n",
+ " <td id=\"T_4e3af_row15_col4\" class=\"data row15 col4\" >1.45</td>\n",
+ " <td id=\"T_4e3af_row15_col5\" class=\"data row15 col5\" >0.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_4e3af_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_4e3af_row16_col0\" class=\"data row16 col0\" >89.08</td>\n",
+ " <td id=\"T_4e3af_row16_col1\" class=\"data row16 col1\" >4.02</td>\n",
+ " <td id=\"T_4e3af_row16_col2\" class=\"data row16 col2\" >97.21</td>\n",
+ " <td id=\"T_4e3af_row16_col3\" class=\"data row16 col3\" >3.81</td>\n",
+ " <td id=\"T_4e3af_row16_col4\" class=\"data row16 col4\" >1.34</td>\n",
+ " <td id=\"T_4e3af_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_4e3af_row17_col0\" class=\"data row17 col0\" >88.27</td>\n",
+ " <td id=\"T_4e3af_row17_col1\" class=\"data row17 col1\" >4.37</td>\n",
+ " <td id=\"T_4e3af_row17_col2\" class=\"data row17 col2\" >97.19</td>\n",
+ " <td id=\"T_4e3af_row17_col3\" class=\"data row17 col3\" >2.65</td>\n",
+ " <td id=\"T_4e3af_row17_col4\" class=\"data row17 col4\" >1.33</td>\n",
+ " <td id=\"T_4e3af_row17_col5\" class=\"data row17 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_4e3af_row18_col0\" class=\"data row18 col0\" >87.72</td>\n",
+ " <td id=\"T_4e3af_row18_col1\" class=\"data row18 col1\" >4.37</td>\n",
+ " <td id=\"T_4e3af_row18_col2\" class=\"data row18 col2\" >97.54</td>\n",
+ " <td id=\"T_4e3af_row18_col3\" class=\"data row18 col3\" >2.61</td>\n",
+ " <td id=\"T_4e3af_row18_col4\" class=\"data row18 col4\" >1.34</td>\n",
+ " <td id=\"T_4e3af_row18_col5\" class=\"data row18 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e3af_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_4e3af_row19_col0\" class=\"data row19 col0\" >88.03</td>\n",
+ " <td id=\"T_4e3af_row19_col1\" class=\"data row19 col1\" >4.51</td>\n",
+ " <td id=\"T_4e3af_row19_col2\" class=\"data row19 col2\" >96.46</td>\n",
+ " <td id=\"T_4e3af_row19_col3\" class=\"data row19 col3\" >4.69</td>\n",
+ " <td id=\"T_4e3af_row19_col4\" class=\"data row19 col4\" >1.34</td>\n",
+ " <td id=\"T_4e3af_row19_col5\" class=\"data row19 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff28ebc10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_18b45 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_18b45 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_18b45_row0_col0, #T_18b45_row0_col2, #T_18b45_row4_col0, #T_18b45_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row0_col4, #T_18b45_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row1_col0, #T_18b45_row1_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_18b45_row2_col0 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row2_col2 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row2_col4 {\n",
+ " background-color: #fc3838;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_18b45_row3_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row3_col2 {\n",
+ " background-color: #4dfd4d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_18b45_row3_col4 {\n",
+ " background-color: #f7a6a6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_18b45\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_18b45_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_18b45_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_18b45_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_18b45_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_18b45_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_18b45_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_18b45_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_18b45_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_18b45_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_18b45_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_18b45_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_18b45_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_18b45_row0_col0\" class=\"data row0 col0\" >88.30</td>\n",
+ " <td id=\"T_18b45_row0_col1\" class=\"data row0 col1\" >2.28</td>\n",
+ " <td id=\"T_18b45_row0_col2\" class=\"data row0 col2\" >97.17</td>\n",
+ " <td id=\"T_18b45_row0_col3\" class=\"data row0 col3\" >1.77</td>\n",
+ " <td id=\"T_18b45_row0_col4\" class=\"data row0 col4\" >1.34</td>\n",
+ " <td id=\"T_18b45_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_18b45_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_18b45_row1_col0\" class=\"data row1 col0\" >85.53</td>\n",
+ " <td id=\"T_18b45_row1_col1\" class=\"data row1 col1\" >2.35</td>\n",
+ " <td id=\"T_18b45_row1_col2\" class=\"data row1 col2\" >93.81</td>\n",
+ " <td id=\"T_18b45_row1_col3\" class=\"data row1 col3\" >2.71</td>\n",
+ " <td id=\"T_18b45_row1_col4\" class=\"data row1 col4\" >1.71</td>\n",
+ " <td id=\"T_18b45_row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_18b45_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_18b45_row2_col0\" class=\"data row2 col0\" >85.64</td>\n",
+ " <td id=\"T_18b45_row2_col1\" class=\"data row2 col1\" >2.15</td>\n",
+ " <td id=\"T_18b45_row2_col2\" class=\"data row2 col2\" >95.61</td>\n",
+ " <td id=\"T_18b45_row2_col3\" class=\"data row2 col3\" >2.41</td>\n",
+ " <td id=\"T_18b45_row2_col4\" class=\"data row2 col4\" >1.62</td>\n",
+ " <td id=\"T_18b45_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_18b45_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_18b45_row3_col0\" class=\"data row3 col0\" >87.17</td>\n",
+ " <td id=\"T_18b45_row3_col1\" class=\"data row3 col1\" >2.04</td>\n",
+ " <td id=\"T_18b45_row3_col2\" class=\"data row3 col2\" >96.71</td>\n",
+ " <td id=\"T_18b45_row3_col3\" class=\"data row3 col3\" >1.98</td>\n",
+ " <td id=\"T_18b45_row3_col4\" class=\"data row3 col4\" >1.45</td>\n",
+ " <td id=\"T_18b45_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_18b45_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_18b45_row4_col0\" class=\"data row4 col0\" >88.30</td>\n",
+ " <td id=\"T_18b45_row4_col1\" class=\"data row4 col1\" >2.28</td>\n",
+ " <td id=\"T_18b45_row4_col2\" class=\"data row4 col2\" >97.17</td>\n",
+ " <td id=\"T_18b45_row4_col3\" class=\"data row4 col3\" >1.77</td>\n",
+ " <td id=\"T_18b45_row4_col4\" class=\"data row4 col4\" >1.34</td>\n",
+ " <td id=\"T_18b45_row4_col5\" class=\"data row4 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff3f22c50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_qos(\"large\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_258a7 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_258a7 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_258a7_row0_col0, #T_258a7_row0_col2 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row0_col4, #T_258a7_row3_col4, #T_258a7_row16_col4, #T_258a7_row19_col4 {\n",
+ " background-color: #f88686;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row1_col0, #T_258a7_row1_col2 {\n",
+ " background-color: #73fb73;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row1_col4, #T_258a7_row17_col4 {\n",
+ " background-color: #f88888;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row2_col0, #T_258a7_row2_col2 {\n",
+ " background-color: #72fb72;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row2_col4, #T_258a7_row18_col4 {\n",
+ " background-color: #f88787;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row3_col0, #T_258a7_row3_col2 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row4_col0, #T_258a7_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row5_col0, #T_258a7_row5_col2 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row5_col4 {\n",
+ " background-color: #fa6161;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row6_col0, #T_258a7_row6_col2 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row6_col4 {\n",
+ " background-color: #fa5c5c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row7_col0, #T_258a7_row7_col2 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row7_col4 {\n",
+ " background-color: #fa5f5f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row8_col0, #T_258a7_row8_col2 {\n",
+ " background-color: #bbf6bb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row8_col4 {\n",
+ " background-color: #f4dcdc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row9_col0, #T_258a7_row9_col2 {\n",
+ " background-color: #baf6ba;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row9_col4 {\n",
+ " background-color: #f4dddd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row10_col0, #T_258a7_row10_col2 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row10_col4, #T_258a7_row11_col4 {\n",
+ " background-color: #fd2828;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row11_col0, #T_258a7_row11_col2 {\n",
+ " background-color: #b2f7b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row12_col0, #T_258a7_row12_col2 {\n",
+ " background-color: #dff4df;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row12_col4 {\n",
+ " background-color: #f6b2b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row13_col0, #T_258a7_row13_col2, #T_258a7_row14_col0, #T_258a7_row14_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row13_col4 {\n",
+ " background-color: #f6b4b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row14_col4 {\n",
+ " background-color: #f6afaf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row15_col0, #T_258a7_row15_col2 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row15_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_258a7_row16_col0, #T_258a7_row16_col2, #T_258a7_row19_col0, #T_258a7_row19_col2 {\n",
+ " background-color: #eaf3ea;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_258a7_row17_col0, #T_258a7_row17_col2, #T_258a7_row18_col0, #T_258a7_row18_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_258a7\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_258a7_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_258a7_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_258a7_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_258a7_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_258a7_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_258a7_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_258a7_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_258a7_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_258a7_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_258a7_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_258a7_row0_col0\" class=\"data row0 col0\" >23.87</td>\n",
+ " <td id=\"T_258a7_row0_col1\" class=\"data row0 col1\" >2.41</td>\n",
+ " <td id=\"T_258a7_row0_col2\" class=\"data row0 col2\" >1.73</td>\n",
+ " <td id=\"T_258a7_row0_col3\" class=\"data row0 col3\" >0.17</td>\n",
+ " <td id=\"T_258a7_row0_col4\" class=\"data row0 col4\" >32.99</td>\n",
+ " <td id=\"T_258a7_row0_col5\" class=\"data row0 col5\" >6.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_258a7_row1_col0\" class=\"data row1 col0\" >24.06</td>\n",
+ " <td id=\"T_258a7_row1_col1\" class=\"data row1 col1\" >2.56</td>\n",
+ " <td id=\"T_258a7_row1_col2\" class=\"data row1 col2\" >1.74</td>\n",
+ " <td id=\"T_258a7_row1_col3\" class=\"data row1 col3\" >0.18</td>\n",
+ " <td id=\"T_258a7_row1_col4\" class=\"data row1 col4\" >32.26</td>\n",
+ " <td id=\"T_258a7_row1_col5\" class=\"data row1 col5\" >6.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_258a7_row2_col0\" class=\"data row2 col0\" >24.17</td>\n",
+ " <td id=\"T_258a7_row2_col1\" class=\"data row2 col1\" >2.58</td>\n",
+ " <td id=\"T_258a7_row2_col2\" class=\"data row2 col2\" >1.75</td>\n",
+ " <td id=\"T_258a7_row2_col3\" class=\"data row2 col3\" >0.19</td>\n",
+ " <td id=\"T_258a7_row2_col4\" class=\"data row2 col4\" >32.63</td>\n",
+ " <td id=\"T_258a7_row2_col5\" class=\"data row2 col5\" >5.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_258a7_row3_col0\" class=\"data row3 col0\" >24.69</td>\n",
+ " <td id=\"T_258a7_row3_col1\" class=\"data row3 col1\" >2.52</td>\n",
+ " <td id=\"T_258a7_row3_col2\" class=\"data row3 col2\" >1.79</td>\n",
+ " <td id=\"T_258a7_row3_col3\" class=\"data row3 col3\" >0.18</td>\n",
+ " <td id=\"T_258a7_row3_col4\" class=\"data row3 col4\" >33.02</td>\n",
+ " <td id=\"T_258a7_row3_col5\" class=\"data row3 col5\" >6.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_258a7_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_258a7_row4_col0\" class=\"data row4 col0\" >35.81</td>\n",
+ " <td id=\"T_258a7_row4_col1\" class=\"data row4 col1\" >4.25</td>\n",
+ " <td id=\"T_258a7_row4_col2\" class=\"data row4 col2\" >2.59</td>\n",
+ " <td id=\"T_258a7_row4_col3\" class=\"data row4 col3\" >0.31</td>\n",
+ " <td id=\"T_258a7_row4_col4\" class=\"data row4 col4\" >1.31</td>\n",
+ " <td id=\"T_258a7_row4_col5\" class=\"data row4 col5\" >0.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_258a7_row5_col0\" class=\"data row5 col0\" >19.06</td>\n",
+ " <td id=\"T_258a7_row5_col1\" class=\"data row5 col1\" >2.99</td>\n",
+ " <td id=\"T_258a7_row5_col2\" class=\"data row5 col2\" >1.38</td>\n",
+ " <td id=\"T_258a7_row5_col3\" class=\"data row5 col3\" >0.22</td>\n",
+ " <td id=\"T_258a7_row5_col4\" class=\"data row5 col4\" >43.88</td>\n",
+ " <td id=\"T_258a7_row5_col5\" class=\"data row5 col5\" >6.68</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_258a7_row6_col0\" class=\"data row6 col0\" >18.78</td>\n",
+ " <td id=\"T_258a7_row6_col1\" class=\"data row6 col1\" >2.25</td>\n",
+ " <td id=\"T_258a7_row6_col2\" class=\"data row6 col2\" >1.36</td>\n",
+ " <td id=\"T_258a7_row6_col3\" class=\"data row6 col3\" >0.16</td>\n",
+ " <td id=\"T_258a7_row6_col4\" class=\"data row6 col4\" >45.31</td>\n",
+ " <td id=\"T_258a7_row6_col5\" class=\"data row6 col5\" >6.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_258a7_row7_col0\" class=\"data row7 col0\" >18.81</td>\n",
+ " <td id=\"T_258a7_row7_col1\" class=\"data row7 col1\" >2.28</td>\n",
+ " <td id=\"T_258a7_row7_col2\" class=\"data row7 col2\" >1.36</td>\n",
+ " <td id=\"T_258a7_row7_col3\" class=\"data row7 col3\" >0.16</td>\n",
+ " <td id=\"T_258a7_row7_col4\" class=\"data row7 col4\" >44.49</td>\n",
+ " <td id=\"T_258a7_row7_col5\" class=\"data row7 col5\" >7.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_258a7_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_258a7_row8_col0\" class=\"data row8 col0\" >10.69</td>\n",
+ " <td id=\"T_258a7_row8_col1\" class=\"data row8 col1\" >2.84</td>\n",
+ " <td id=\"T_258a7_row8_col2\" class=\"data row8 col2\" >0.77</td>\n",
+ " <td id=\"T_258a7_row8_col3\" class=\"data row8 col3\" >0.21</td>\n",
+ " <td id=\"T_258a7_row8_col4\" class=\"data row8 col4\" >7.24</td>\n",
+ " <td id=\"T_258a7_row8_col5\" class=\"data row8 col5\" >3.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_258a7_row9_col0\" class=\"data row9 col0\" >10.88</td>\n",
+ " <td id=\"T_258a7_row9_col1\" class=\"data row9 col1\" >2.69</td>\n",
+ " <td id=\"T_258a7_row9_col2\" class=\"data row9 col2\" >0.79</td>\n",
+ " <td id=\"T_258a7_row9_col3\" class=\"data row9 col3\" >0.19</td>\n",
+ " <td id=\"T_258a7_row9_col4\" class=\"data row9 col4\" >6.96</td>\n",
+ " <td id=\"T_258a7_row9_col5\" class=\"data row9 col5\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_258a7_row10_col0\" class=\"data row10 col0\" >12.09</td>\n",
+ " <td id=\"T_258a7_row10_col1\" class=\"data row10 col1\" >2.58</td>\n",
+ " <td id=\"T_258a7_row10_col2\" class=\"data row10 col2\" >0.87</td>\n",
+ " <td id=\"T_258a7_row10_col3\" class=\"data row10 col3\" >0.19</td>\n",
+ " <td id=\"T_258a7_row10_col4\" class=\"data row10 col4\" >60.73</td>\n",
+ " <td id=\"T_258a7_row10_col5\" class=\"data row10 col5\" >7.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_258a7_row11_col0\" class=\"data row11 col0\" >12.36</td>\n",
+ " <td id=\"T_258a7_row11_col1\" class=\"data row11 col1\" >2.36</td>\n",
+ " <td id=\"T_258a7_row11_col2\" class=\"data row11 col2\" >0.89</td>\n",
+ " <td id=\"T_258a7_row11_col3\" class=\"data row11 col3\" >0.17</td>\n",
+ " <td id=\"T_258a7_row11_col4\" class=\"data row11 col4\" >60.80</td>\n",
+ " <td id=\"T_258a7_row11_col5\" class=\"data row11 col5\" >6.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_258a7_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_258a7_row12_col0\" class=\"data row12 col0\" >4.01</td>\n",
+ " <td id=\"T_258a7_row12_col1\" class=\"data row12 col1\" >1.41</td>\n",
+ " <td id=\"T_258a7_row12_col2\" class=\"data row12 col2\" >0.29</td>\n",
+ " <td id=\"T_258a7_row12_col3\" class=\"data row12 col3\" >0.10</td>\n",
+ " <td id=\"T_258a7_row12_col4\" class=\"data row12 col4\" >19.82</td>\n",
+ " <td id=\"T_258a7_row12_col5\" class=\"data row12 col5\" >5.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_258a7_row13_col0\" class=\"data row13 col0\" >4.16</td>\n",
+ " <td id=\"T_258a7_row13_col1\" class=\"data row13 col1\" >1.38</td>\n",
+ " <td id=\"T_258a7_row13_col2\" class=\"data row13 col2\" >0.30</td>\n",
+ " <td id=\"T_258a7_row13_col3\" class=\"data row13 col3\" >0.10</td>\n",
+ " <td id=\"T_258a7_row13_col4\" class=\"data row13 col4\" >19.35</td>\n",
+ " <td id=\"T_258a7_row13_col5\" class=\"data row13 col5\" >5.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_258a7_row14_col0\" class=\"data row14 col0\" >4.08</td>\n",
+ " <td id=\"T_258a7_row14_col1\" class=\"data row14 col1\" >1.47</td>\n",
+ " <td id=\"T_258a7_row14_col2\" class=\"data row14 col2\" >0.30</td>\n",
+ " <td id=\"T_258a7_row14_col3\" class=\"data row14 col3\" >0.11</td>\n",
+ " <td id=\"T_258a7_row14_col4\" class=\"data row14 col4\" >20.69</td>\n",
+ " <td id=\"T_258a7_row14_col5\" class=\"data row14 col5\" >5.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_258a7_row15_col0\" class=\"data row15 col0\" >7.60</td>\n",
+ " <td id=\"T_258a7_row15_col1\" class=\"data row15 col1\" >1.74</td>\n",
+ " <td id=\"T_258a7_row15_col2\" class=\"data row15 col2\" >0.55</td>\n",
+ " <td id=\"T_258a7_row15_col3\" class=\"data row15 col3\" >0.13</td>\n",
+ " <td id=\"T_258a7_row15_col4\" class=\"data row15 col4\" >72.80</td>\n",
+ " <td id=\"T_258a7_row15_col5\" class=\"data row15 col5\" >6.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_258a7_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_258a7_row16_col0\" class=\"data row16 col0\" >1.95</td>\n",
+ " <td id=\"T_258a7_row16_col1\" class=\"data row16 col1\" >0.87</td>\n",
+ " <td id=\"T_258a7_row16_col2\" class=\"data row16 col2\" >0.14</td>\n",
+ " <td id=\"T_258a7_row16_col3\" class=\"data row16 col3\" >0.06</td>\n",
+ " <td id=\"T_258a7_row16_col4\" class=\"data row16 col4\" >32.99</td>\n",
+ " <td id=\"T_258a7_row16_col5\" class=\"data row16 col5\" >6.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_258a7_row17_col0\" class=\"data row17 col0\" >1.81</td>\n",
+ " <td id=\"T_258a7_row17_col1\" class=\"data row17 col1\" >0.78</td>\n",
+ " <td id=\"T_258a7_row17_col2\" class=\"data row17 col2\" >0.13</td>\n",
+ " <td id=\"T_258a7_row17_col3\" class=\"data row17 col3\" >0.06</td>\n",
+ " <td id=\"T_258a7_row17_col4\" class=\"data row17 col4\" >32.26</td>\n",
+ " <td id=\"T_258a7_row17_col5\" class=\"data row17 col5\" >6.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_258a7_row18_col0\" class=\"data row18 col0\" >1.88</td>\n",
+ " <td id=\"T_258a7_row18_col1\" class=\"data row18 col1\" >0.79</td>\n",
+ " <td id=\"T_258a7_row18_col2\" class=\"data row18 col2\" >0.14</td>\n",
+ " <td id=\"T_258a7_row18_col3\" class=\"data row18 col3\" >0.06</td>\n",
+ " <td id=\"T_258a7_row18_col4\" class=\"data row18 col4\" >32.63</td>\n",
+ " <td id=\"T_258a7_row18_col5\" class=\"data row18 col5\" >5.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_258a7_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_258a7_row19_col0\" class=\"data row19 col0\" >2.00</td>\n",
+ " <td id=\"T_258a7_row19_col1\" class=\"data row19 col1\" >0.87</td>\n",
+ " <td id=\"T_258a7_row19_col2\" class=\"data row19 col2\" >0.14</td>\n",
+ " <td id=\"T_258a7_row19_col3\" class=\"data row19 col3\" >0.06</td>\n",
+ " <td id=\"T_258a7_row19_col4\" class=\"data row19 col4\" >33.02</td>\n",
+ " <td id=\"T_258a7_row19_col5\" class=\"data row19 col5\" >6.50</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff296e510>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_84a37 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_84a37 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_84a37_row0_col0, #T_84a37_row0_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_84a37_row0_col4, #T_84a37_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_84a37_row1_col0, #T_84a37_row1_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_84a37_row1_col4 {\n",
+ " background-color: #fd2525;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_84a37_row2_col0, #T_84a37_row2_col2 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_84a37_row2_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_84a37_row3_col0, #T_84a37_row3_col2 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_84a37_row3_col4 {\n",
+ " background-color: #f79999;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_84a37_row4_col0, #T_84a37_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_84a37\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_84a37_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_84a37_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_84a37_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_84a37_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_84a37_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_84a37_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_84a37_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_84a37_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_84a37_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_84a37_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_84a37_row0_col0\" class=\"data row0 col0\" >96.79</td>\n",
+ " <td id=\"T_84a37_row0_col1\" class=\"data row0 col1\" >5.05</td>\n",
+ " <td id=\"T_84a37_row0_col2\" class=\"data row0 col2\" >1.75</td>\n",
+ " <td id=\"T_84a37_row0_col3\" class=\"data row0 col3\" >0.09</td>\n",
+ " <td id=\"T_84a37_row0_col4\" class=\"data row0 col4\" >32.73</td>\n",
+ " <td id=\"T_84a37_row0_col5\" class=\"data row0 col5\" >3.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_84a37_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_84a37_row1_col0\" class=\"data row1 col0\" >92.46</td>\n",
+ " <td id=\"T_84a37_row1_col1\" class=\"data row1 col1\" >5.09</td>\n",
+ " <td id=\"T_84a37_row1_col2\" class=\"data row1 col2\" >1.67</td>\n",
+ " <td id=\"T_84a37_row1_col3\" class=\"data row1 col3\" >0.09</td>\n",
+ " <td id=\"T_84a37_row1_col4\" class=\"data row1 col4\" >33.75</td>\n",
+ " <td id=\"T_84a37_row1_col5\" class=\"data row1 col5\" >4.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_84a37_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_84a37_row2_col0\" class=\"data row2 col0\" >46.02</td>\n",
+ " <td id=\"T_84a37_row2_col1\" class=\"data row2 col1\" >5.74</td>\n",
+ " <td id=\"T_84a37_row2_col2\" class=\"data row2 col2\" >0.83</td>\n",
+ " <td id=\"T_84a37_row2_col3\" class=\"data row2 col3\" >0.10</td>\n",
+ " <td id=\"T_84a37_row2_col4\" class=\"data row2 col4\" >33.93</td>\n",
+ " <td id=\"T_84a37_row2_col5\" class=\"data row2 col5\" >4.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_84a37_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_84a37_row3_col0\" class=\"data row3 col0\" >19.85</td>\n",
+ " <td id=\"T_84a37_row3_col1\" class=\"data row3 col1\" >3.45</td>\n",
+ " <td id=\"T_84a37_row3_col2\" class=\"data row3 col2\" >0.36</td>\n",
+ " <td id=\"T_84a37_row3_col3\" class=\"data row3 col3\" >0.06</td>\n",
+ " <td id=\"T_84a37_row3_col4\" class=\"data row3 col4\" >33.16</td>\n",
+ " <td id=\"T_84a37_row3_col5\" class=\"data row3 col5\" >4.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_84a37_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_84a37_row4_col0\" class=\"data row4 col0\" >7.64</td>\n",
+ " <td id=\"T_84a37_row4_col1\" class=\"data row4 col1\" >1.63</td>\n",
+ " <td id=\"T_84a37_row4_col2\" class=\"data row4 col2\" >0.14</td>\n",
+ " <td id=\"T_84a37_row4_col3\" class=\"data row4 col3\" >0.03</td>\n",
+ " <td id=\"T_84a37_row4_col4\" class=\"data row4 col4\" >32.73</td>\n",
+ " <td id=\"T_84a37_row4_col5\" class=\"data row4 col5\" >3.99</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x70105dd91690>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_money_and_energy(\"large\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Medium"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.plot_graph(\"medium\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_408f8 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_408f8 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_408f8_row0_col0, #T_408f8_row16_col0 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row0_col2, #T_408f8_row16_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row1_col0, #T_408f8_row17_col0 {\n",
+ " background-color: #a6f7a6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row1_col2, #T_408f8_row17_col2 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row2_col0, #T_408f8_row3_col0, #T_408f8_row18_col0, #T_408f8_row19_col0 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row2_col2, #T_408f8_row12_col0, #T_408f8_row18_col2 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row3_col2, #T_408f8_row19_col2 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row4_col0, #T_408f8_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row5_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row5_col2 {\n",
+ " background-color: #aaf7aa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row6_col0 {\n",
+ " background-color: #cdf5cd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row6_col2 {\n",
+ " background-color: #abf7ab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row7_col0 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row7_col2 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row8_col0 {\n",
+ " background-color: #6bfb6b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row8_col2 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row9_col0 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row9_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row10_col0, #T_408f8_row11_col0 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row10_col2 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row11_col2 {\n",
+ " background-color: #d8f4d8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row12_col2 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row13_col0 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row13_col2 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row14_col0 {\n",
+ " background-color: #91f991;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row14_col2 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_408f8_row15_col0, #T_408f8_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_408f8\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_408f8_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_408f8_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_408f8_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_408f8_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_408f8_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_408f8_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_408f8_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_408f8_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_408f8_row0_col0\" class=\"data row0 col0\" >18.45</td>\n",
+ " <td id=\"T_408f8_row0_col1\" class=\"data row0 col1\" >2.98</td>\n",
+ " <td id=\"T_408f8_row0_col2\" class=\"data row0 col2\" >19.43</td>\n",
+ " <td id=\"T_408f8_row0_col3\" class=\"data row0 col3\" >2.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_408f8_row1_col0\" class=\"data row1 col0\" >19.19</td>\n",
+ " <td id=\"T_408f8_row1_col1\" class=\"data row1 col1\" >2.81</td>\n",
+ " <td id=\"T_408f8_row1_col2\" class=\"data row1 col2\" >18.40</td>\n",
+ " <td id=\"T_408f8_row1_col3\" class=\"data row1 col3\" >2.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_408f8_row2_col0\" class=\"data row2 col0\" >19.06</td>\n",
+ " <td id=\"T_408f8_row2_col1\" class=\"data row2 col1\" >2.98</td>\n",
+ " <td id=\"T_408f8_row2_col2\" class=\"data row2 col2\" >18.89</td>\n",
+ " <td id=\"T_408f8_row2_col3\" class=\"data row2 col3\" >2.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_408f8_row3_col0\" class=\"data row3 col0\" >19.02</td>\n",
+ " <td id=\"T_408f8_row3_col1\" class=\"data row3 col1\" >2.94</td>\n",
+ " <td id=\"T_408f8_row3_col2\" class=\"data row3 col2\" >19.69</td>\n",
+ " <td id=\"T_408f8_row3_col3\" class=\"data row3 col3\" >2.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_408f8_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_408f8_row4_col0\" class=\"data row4 col0\" >44.93</td>\n",
+ " <td id=\"T_408f8_row4_col1\" class=\"data row4 col1\" >3.92</td>\n",
+ " <td id=\"T_408f8_row4_col2\" class=\"data row4 col2\" >32.28</td>\n",
+ " <td id=\"T_408f8_row4_col3\" class=\"data row4 col3\" >4.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_408f8_row5_col0\" class=\"data row5 col0\" >9.88</td>\n",
+ " <td id=\"T_408f8_row5_col1\" class=\"data row5 col1\" >2.22</td>\n",
+ " <td id=\"T_408f8_row5_col2\" class=\"data row5 col2\" >15.04</td>\n",
+ " <td id=\"T_408f8_row5_col3\" class=\"data row5 col3\" >2.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_408f8_row6_col0\" class=\"data row6 col0\" >10.25</td>\n",
+ " <td id=\"T_408f8_row6_col1\" class=\"data row6 col1\" >2.48</td>\n",
+ " <td id=\"T_408f8_row6_col2\" class=\"data row6 col2\" >14.96</td>\n",
+ " <td id=\"T_408f8_row6_col3\" class=\"data row6 col3\" >3.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_408f8_row7_col0\" class=\"data row7 col0\" >10.88</td>\n",
+ " <td id=\"T_408f8_row7_col1\" class=\"data row7 col1\" >2.48</td>\n",
+ " <td id=\"T_408f8_row7_col2\" class=\"data row7 col2\" >14.79</td>\n",
+ " <td id=\"T_408f8_row7_col3\" class=\"data row7 col3\" >2.77</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_408f8_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_408f8_row8_col0\" class=\"data row8 col0\" >32.33</td>\n",
+ " <td id=\"T_408f8_row8_col1\" class=\"data row8 col1\" >3.82</td>\n",
+ " <td id=\"T_408f8_row8_col2\" class=\"data row8 col2\" >30.43</td>\n",
+ " <td id=\"T_408f8_row8_col3\" class=\"data row8 col3\" >3.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_408f8_row9_col0\" class=\"data row9 col0\" >32.89</td>\n",
+ " <td id=\"T_408f8_row9_col1\" class=\"data row9 col1\" >3.19</td>\n",
+ " <td id=\"T_408f8_row9_col2\" class=\"data row9 col2\" >30.07</td>\n",
+ " <td id=\"T_408f8_row9_col3\" class=\"data row9 col3\" >4.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_408f8_row10_col0\" class=\"data row10 col0\" >5.25</td>\n",
+ " <td id=\"T_408f8_row10_col1\" class=\"data row10 col1\" >1.53</td>\n",
+ " <td id=\"T_408f8_row10_col2\" class=\"data row10 col2\" >8.26</td>\n",
+ " <td id=\"T_408f8_row10_col3\" class=\"data row10 col3\" >2.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_408f8_row11_col0\" class=\"data row11 col0\" >5.45</td>\n",
+ " <td id=\"T_408f8_row11_col1\" class=\"data row11 col1\" >1.84</td>\n",
+ " <td id=\"T_408f8_row11_col2\" class=\"data row11 col2\" >8.40</td>\n",
+ " <td id=\"T_408f8_row11_col3\" class=\"data row11 col3\" >2.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_408f8_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_408f8_row12_col0\" class=\"data row12 col0\" >24.18</td>\n",
+ " <td id=\"T_408f8_row12_col1\" class=\"data row12 col1\" >3.27</td>\n",
+ " <td id=\"T_408f8_row12_col2\" class=\"data row12 col2\" >23.83</td>\n",
+ " <td id=\"T_408f8_row12_col3\" class=\"data row12 col3\" >3.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_408f8_row13_col0\" class=\"data row13 col0\" >24.36</td>\n",
+ " <td id=\"T_408f8_row13_col1\" class=\"data row13 col1\" >3.41</td>\n",
+ " <td id=\"T_408f8_row13_col2\" class=\"data row13 col2\" >23.87</td>\n",
+ " <td id=\"T_408f8_row13_col3\" class=\"data row13 col3\" >3.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_408f8_row14_col0\" class=\"data row14 col0\" >23.84</td>\n",
+ " <td id=\"T_408f8_row14_col1\" class=\"data row14 col1\" >3.54</td>\n",
+ " <td id=\"T_408f8_row14_col2\" class=\"data row14 col2\" >23.35</td>\n",
+ " <td id=\"T_408f8_row14_col3\" class=\"data row14 col3\" >3.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_408f8_row15_col0\" class=\"data row15 col0\" >3.58</td>\n",
+ " <td id=\"T_408f8_row15_col1\" class=\"data row15 col1\" >1.55</td>\n",
+ " <td id=\"T_408f8_row15_col2\" class=\"data row15 col2\" >5.69</td>\n",
+ " <td id=\"T_408f8_row15_col3\" class=\"data row15 col3\" >2.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_408f8_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_408f8_row16_col0\" class=\"data row16 col0\" >18.45</td>\n",
+ " <td id=\"T_408f8_row16_col1\" class=\"data row16 col1\" >2.98</td>\n",
+ " <td id=\"T_408f8_row16_col2\" class=\"data row16 col2\" >19.43</td>\n",
+ " <td id=\"T_408f8_row16_col3\" class=\"data row16 col3\" >2.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_408f8_row17_col0\" class=\"data row17 col0\" >19.19</td>\n",
+ " <td id=\"T_408f8_row17_col1\" class=\"data row17 col1\" >2.81</td>\n",
+ " <td id=\"T_408f8_row17_col2\" class=\"data row17 col2\" >18.40</td>\n",
+ " <td id=\"T_408f8_row17_col3\" class=\"data row17 col3\" >2.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_408f8_row18_col0\" class=\"data row18 col0\" >19.06</td>\n",
+ " <td id=\"T_408f8_row18_col1\" class=\"data row18 col1\" >2.98</td>\n",
+ " <td id=\"T_408f8_row18_col2\" class=\"data row18 col2\" >18.89</td>\n",
+ " <td id=\"T_408f8_row18_col3\" class=\"data row18 col3\" >2.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_408f8_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_408f8_row19_col0\" class=\"data row19 col0\" >19.02</td>\n",
+ " <td id=\"T_408f8_row19_col1\" class=\"data row19 col1\" >2.94</td>\n",
+ " <td id=\"T_408f8_row19_col2\" class=\"data row19 col2\" >19.69</td>\n",
+ " <td id=\"T_408f8_row19_col3\" class=\"data row19 col3\" >2.89</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff29d2390>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_6c78e td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_6c78e th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_6c78e_row0_col0, #T_6c78e_row0_col2, #T_6c78e_row4_col0, #T_6c78e_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_6c78e_row1_col0 {\n",
+ " background-color: #4bfd4b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_6c78e_row1_col2 {\n",
+ " background-color: #49fe49;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_6c78e_row2_col0 {\n",
+ " background-color: #5dfc5d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_6c78e_row2_col2, #T_6c78e_row3_col0 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_6c78e_row3_col2 {\n",
+ " background-color: #9df89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_6c78e\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_6c78e_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_6c78e_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_6c78e_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_6c78e_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_6c78e_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_6c78e_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_6c78e_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_6c78e_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_6c78e_row0_col0\" class=\"data row0 col0\" >75.72</td>\n",
+ " <td id=\"T_6c78e_row0_col1\" class=\"data row0 col1\" >3.33</td>\n",
+ " <td id=\"T_6c78e_row0_col2\" class=\"data row0 col2\" >76.41</td>\n",
+ " <td id=\"T_6c78e_row0_col3\" class=\"data row0 col3\" >3.81</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_6c78e_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_6c78e_row1_col0\" class=\"data row1 col0\" >75.94</td>\n",
+ " <td id=\"T_6c78e_row1_col1\" class=\"data row1 col1\" >3.35</td>\n",
+ " <td id=\"T_6c78e_row1_col2\" class=\"data row1 col2\" >77.07</td>\n",
+ " <td id=\"T_6c78e_row1_col3\" class=\"data row1 col3\" >3.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_6c78e_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_6c78e_row2_col0\" class=\"data row2 col0\" >75.91</td>\n",
+ " <td id=\"T_6c78e_row2_col1\" class=\"data row2 col1\" >3.19</td>\n",
+ " <td id=\"T_6c78e_row2_col2\" class=\"data row2 col2\" >77.16</td>\n",
+ " <td id=\"T_6c78e_row2_col3\" class=\"data row2 col3\" >3.81</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_6c78e_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_6c78e_row3_col0\" class=\"data row3 col0\" >75.97</td>\n",
+ " <td id=\"T_6c78e_row3_col1\" class=\"data row3 col1\" >3.16</td>\n",
+ " <td id=\"T_6c78e_row3_col2\" class=\"data row3 col2\" >76.73</td>\n",
+ " <td id=\"T_6c78e_row3_col3\" class=\"data row3 col3\" >3.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_6c78e_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_6c78e_row4_col0\" class=\"data row4 col0\" >75.72</td>\n",
+ " <td id=\"T_6c78e_row4_col1\" class=\"data row4 col1\" >3.33</td>\n",
+ " <td id=\"T_6c78e_row4_col2\" class=\"data row4 col2\" >76.41</td>\n",
+ " <td id=\"T_6c78e_row4_col3\" class=\"data row4 col3\" >3.81</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff39c1810>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_bidded(\"medium\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_7510d td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7510d th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7510d_row0_col0, #T_7510d_row16_col0 {\n",
+ " background-color: #41fe41;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row0_col2, #T_7510d_row16_col2 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row0_col4, #T_7510d_row16_col4 {\n",
+ " background-color: #f3ebeb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row1_col0, #T_7510d_row13_col0, #T_7510d_row17_col0 {\n",
+ " background-color: #38ff38;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row1_col2, #T_7510d_row17_col2 {\n",
+ " background-color: #4efd4e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row1_col4, #T_7510d_row17_col4 {\n",
+ " background-color: #f3eeee;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row2_col0, #T_7510d_row3_col2, #T_7510d_row9_col0, #T_7510d_row18_col0, #T_7510d_row19_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row2_col2, #T_7510d_row14_col0, #T_7510d_row18_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row2_col4, #T_7510d_row18_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row3_col0, #T_7510d_row19_col0 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row3_col4, #T_7510d_row19_col4 {\n",
+ " background-color: #f3e7e7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row4_col0 {\n",
+ " background-color: #57fd57;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row4_col2 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row4_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_7510d_row5_col0 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row5_col2 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row5_col4 {\n",
+ " background-color: #f4e2e2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row6_col0 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row6_col2 {\n",
+ " background-color: #89f989;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row6_col4 {\n",
+ " background-color: #f3e6e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row7_col0 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row7_col2 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row7_col4 {\n",
+ " background-color: #f3e5e5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row8_col0 {\n",
+ " background-color: #36ff36;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row8_col2 {\n",
+ " background-color: #59fd59;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row8_col4 {\n",
+ " background-color: #f79897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row9_col2 {\n",
+ " background-color: #46fe46;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row9_col4 {\n",
+ " background-color: #f79797;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row10_col0 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row10_col2 {\n",
+ " background-color: #c4f5c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row10_col4 {\n",
+ " background-color: #f4d0d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row11_col0 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row11_col2 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row11_col4 {\n",
+ " background-color: #f4dddd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row12_col0 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row12_col2 {\n",
+ " background-color: #4cfd4c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row12_col4, #T_7510d_row14_col4 {\n",
+ " background-color: #f4d3d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row13_col2 {\n",
+ " background-color: #45fe45;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row13_col4, #T_7510d_row15_col4 {\n",
+ " background-color: #f4d1d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row14_col2 {\n",
+ " background-color: #3cfe3c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7510d_row15_col0, #T_7510d_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_7510d\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_7510d_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_7510d_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_7510d_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_7510d_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_7510d_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_7510d_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_7510d_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_7510d_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_7510d_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_7510d_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_7510d_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_7510d_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_7510d_row0_col0\" class=\"data row0 col0\" >89.30</td>\n",
+ " <td id=\"T_7510d_row0_col1\" class=\"data row0 col1\" >4.75</td>\n",
+ " <td id=\"T_7510d_row0_col2\" class=\"data row0 col2\" >96.91</td>\n",
+ " <td id=\"T_7510d_row0_col3\" class=\"data row0 col3\" >3.21</td>\n",
+ " <td id=\"T_7510d_row0_col4\" class=\"data row0 col4\" >1.21</td>\n",
+ " <td id=\"T_7510d_row0_col5\" class=\"data row0 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_7510d_row1_col0\" class=\"data row1 col0\" >90.11</td>\n",
+ " <td id=\"T_7510d_row1_col1\" class=\"data row1 col1\" >4.07</td>\n",
+ " <td id=\"T_7510d_row1_col2\" class=\"data row1 col2\" >97.07</td>\n",
+ " <td id=\"T_7510d_row1_col3\" class=\"data row1 col3\" >4.15</td>\n",
+ " <td id=\"T_7510d_row1_col4\" class=\"data row1 col4\" >1.20</td>\n",
+ " <td id=\"T_7510d_row1_col5\" class=\"data row1 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_7510d_row2_col0\" class=\"data row2 col0\" >89.70</td>\n",
+ " <td id=\"T_7510d_row2_col1\" class=\"data row2 col1\" >4.94</td>\n",
+ " <td id=\"T_7510d_row2_col2\" class=\"data row2 col2\" >97.76</td>\n",
+ " <td id=\"T_7510d_row2_col3\" class=\"data row2 col3\" >3.18</td>\n",
+ " <td id=\"T_7510d_row2_col4\" class=\"data row2 col4\" >1.20</td>\n",
+ " <td id=\"T_7510d_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_7510d_row3_col0\" class=\"data row3 col0\" >89.33</td>\n",
+ " <td id=\"T_7510d_row3_col1\" class=\"data row3 col1\" >5.04</td>\n",
+ " <td id=\"T_7510d_row3_col2\" class=\"data row3 col2\" >97.50</td>\n",
+ " <td id=\"T_7510d_row3_col3\" class=\"data row3 col3\" >3.05</td>\n",
+ " <td id=\"T_7510d_row3_col4\" class=\"data row3 col4\" >1.22</td>\n",
+ " <td id=\"T_7510d_row3_col5\" class=\"data row3 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_7510d_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_7510d_row4_col0\" class=\"data row4 col0\" >87.06</td>\n",
+ " <td id=\"T_7510d_row4_col1\" class=\"data row4 col1\" >3.35</td>\n",
+ " <td id=\"T_7510d_row4_col2\" class=\"data row4 col2\" >94.52</td>\n",
+ " <td id=\"T_7510d_row4_col3\" class=\"data row4 col3\" >3.51</td>\n",
+ " <td id=\"T_7510d_row4_col4\" class=\"data row4 col4\" >1.80</td>\n",
+ " <td id=\"T_7510d_row4_col5\" class=\"data row4 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_7510d_row5_col0\" class=\"data row5 col0\" >85.62</td>\n",
+ " <td id=\"T_7510d_row5_col1\" class=\"data row5 col1\" >6.34</td>\n",
+ " <td id=\"T_7510d_row5_col2\" class=\"data row5 col2\" >96.23</td>\n",
+ " <td id=\"T_7510d_row5_col3\" class=\"data row5 col3\" >4.96</td>\n",
+ " <td id=\"T_7510d_row5_col4\" class=\"data row5 col4\" >1.23</td>\n",
+ " <td id=\"T_7510d_row5_col5\" class=\"data row5 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_7510d_row6_col0\" class=\"data row6 col0\" >86.42</td>\n",
+ " <td id=\"T_7510d_row6_col1\" class=\"data row6 col1\" >6.50</td>\n",
+ " <td id=\"T_7510d_row6_col2\" class=\"data row6 col2\" >95.48</td>\n",
+ " <td id=\"T_7510d_row6_col3\" class=\"data row6 col3\" >6.63</td>\n",
+ " <td id=\"T_7510d_row6_col4\" class=\"data row6 col4\" >1.22</td>\n",
+ " <td id=\"T_7510d_row6_col5\" class=\"data row6 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_7510d_row7_col0\" class=\"data row7 col0\" >85.83</td>\n",
+ " <td id=\"T_7510d_row7_col1\" class=\"data row7 col1\" >6.38</td>\n",
+ " <td id=\"T_7510d_row7_col2\" class=\"data row7 col2\" >96.17</td>\n",
+ " <td id=\"T_7510d_row7_col3\" class=\"data row7 col3\" >5.11</td>\n",
+ " <td id=\"T_7510d_row7_col4\" class=\"data row7 col4\" >1.23</td>\n",
+ " <td id=\"T_7510d_row7_col5\" class=\"data row7 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_7510d_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_7510d_row8_col0\" class=\"data row8 col0\" >90.31</td>\n",
+ " <td id=\"T_7510d_row8_col1\" class=\"data row8 col1\" >3.24</td>\n",
+ " <td id=\"T_7510d_row8_col2\" class=\"data row8 col2\" >96.78</td>\n",
+ " <td id=\"T_7510d_row8_col3\" class=\"data row8 col3\" >2.94</td>\n",
+ " <td id=\"T_7510d_row8_col4\" class=\"data row8 col4\" >1.42</td>\n",
+ " <td id=\"T_7510d_row8_col5\" class=\"data row8 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_7510d_row9_col0\" class=\"data row9 col0\" >89.69</td>\n",
+ " <td id=\"T_7510d_row9_col1\" class=\"data row9 col1\" >3.96</td>\n",
+ " <td id=\"T_7510d_row9_col2\" class=\"data row9 col2\" >97.28</td>\n",
+ " <td id=\"T_7510d_row9_col3\" class=\"data row9 col3\" >2.81</td>\n",
+ " <td id=\"T_7510d_row9_col4\" class=\"data row9 col4\" >1.42</td>\n",
+ " <td id=\"T_7510d_row9_col5\" class=\"data row9 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_7510d_row10_col0\" class=\"data row10 col0\" >77.59</td>\n",
+ " <td id=\"T_7510d_row10_col1\" class=\"data row10 col1\" >9.92</td>\n",
+ " <td id=\"T_7510d_row10_col2\" class=\"data row10 col2\" >93.91</td>\n",
+ " <td id=\"T_7510d_row10_col3\" class=\"data row10 col3\" >10.66</td>\n",
+ " <td id=\"T_7510d_row10_col4\" class=\"data row10 col4\" >1.28</td>\n",
+ " <td id=\"T_7510d_row10_col5\" class=\"data row10 col5\" >0.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_7510d_row11_col0\" class=\"data row11 col0\" >79.95</td>\n",
+ " <td id=\"T_7510d_row11_col1\" class=\"data row11 col1\" >9.52</td>\n",
+ " <td id=\"T_7510d_row11_col2\" class=\"data row11 col2\" >94.76</td>\n",
+ " <td id=\"T_7510d_row11_col3\" class=\"data row11 col3\" >8.13</td>\n",
+ " <td id=\"T_7510d_row11_col4\" class=\"data row11 col4\" >1.24</td>\n",
+ " <td id=\"T_7510d_row11_col5\" class=\"data row11 col5\" >0.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_7510d_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_7510d_row12_col0\" class=\"data row12 col0\" >90.00</td>\n",
+ " <td id=\"T_7510d_row12_col1\" class=\"data row12 col1\" >3.96</td>\n",
+ " <td id=\"T_7510d_row12_col2\" class=\"data row12 col2\" >97.12</td>\n",
+ " <td id=\"T_7510d_row12_col3\" class=\"data row12 col3\" >3.90</td>\n",
+ " <td id=\"T_7510d_row12_col4\" class=\"data row12 col4\" >1.27</td>\n",
+ " <td id=\"T_7510d_row12_col5\" class=\"data row12 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_7510d_row13_col0\" class=\"data row13 col0\" >90.22</td>\n",
+ " <td id=\"T_7510d_row13_col1\" class=\"data row13 col1\" >4.92</td>\n",
+ " <td id=\"T_7510d_row13_col2\" class=\"data row13 col2\" >97.30</td>\n",
+ " <td id=\"T_7510d_row13_col3\" class=\"data row13 col3\" >3.09</td>\n",
+ " <td id=\"T_7510d_row13_col4\" class=\"data row13 col4\" >1.28</td>\n",
+ " <td id=\"T_7510d_row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_7510d_row14_col0\" class=\"data row14 col0\" >90.59</td>\n",
+ " <td id=\"T_7510d_row14_col1\" class=\"data row14 col1\" >4.42</td>\n",
+ " <td id=\"T_7510d_row14_col2\" class=\"data row14 col2\" >97.55</td>\n",
+ " <td id=\"T_7510d_row14_col3\" class=\"data row14 col3\" >2.83</td>\n",
+ " <td id=\"T_7510d_row14_col4\" class=\"data row14 col4\" >1.27</td>\n",
+ " <td id=\"T_7510d_row14_col5\" class=\"data row14 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_7510d_row15_col0\" class=\"data row15 col0\" >72.24</td>\n",
+ " <td id=\"T_7510d_row15_col1\" class=\"data row15 col1\" >12.95</td>\n",
+ " <td id=\"T_7510d_row15_col2\" class=\"data row15 col2\" >92.87</td>\n",
+ " <td id=\"T_7510d_row15_col3\" class=\"data row15 col3\" >15.31</td>\n",
+ " <td id=\"T_7510d_row15_col4\" class=\"data row15 col4\" >1.28</td>\n",
+ " <td id=\"T_7510d_row15_col5\" class=\"data row15 col5\" >0.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_7510d_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_7510d_row16_col0\" class=\"data row16 col0\" >89.30</td>\n",
+ " <td id=\"T_7510d_row16_col1\" class=\"data row16 col1\" >4.75</td>\n",
+ " <td id=\"T_7510d_row16_col2\" class=\"data row16 col2\" >96.91</td>\n",
+ " <td id=\"T_7510d_row16_col3\" class=\"data row16 col3\" >3.21</td>\n",
+ " <td id=\"T_7510d_row16_col4\" class=\"data row16 col4\" >1.21</td>\n",
+ " <td id=\"T_7510d_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_7510d_row17_col0\" class=\"data row17 col0\" >90.11</td>\n",
+ " <td id=\"T_7510d_row17_col1\" class=\"data row17 col1\" >4.07</td>\n",
+ " <td id=\"T_7510d_row17_col2\" class=\"data row17 col2\" >97.07</td>\n",
+ " <td id=\"T_7510d_row17_col3\" class=\"data row17 col3\" >4.15</td>\n",
+ " <td id=\"T_7510d_row17_col4\" class=\"data row17 col4\" >1.20</td>\n",
+ " <td id=\"T_7510d_row17_col5\" class=\"data row17 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_7510d_row18_col0\" class=\"data row18 col0\" >89.70</td>\n",
+ " <td id=\"T_7510d_row18_col1\" class=\"data row18 col1\" >4.94</td>\n",
+ " <td id=\"T_7510d_row18_col2\" class=\"data row18 col2\" >97.76</td>\n",
+ " <td id=\"T_7510d_row18_col3\" class=\"data row18 col3\" >3.18</td>\n",
+ " <td id=\"T_7510d_row18_col4\" class=\"data row18 col4\" >1.20</td>\n",
+ " <td id=\"T_7510d_row18_col5\" class=\"data row18 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7510d_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_7510d_row19_col0\" class=\"data row19 col0\" >89.33</td>\n",
+ " <td id=\"T_7510d_row19_col1\" class=\"data row19 col1\" >5.04</td>\n",
+ " <td id=\"T_7510d_row19_col2\" class=\"data row19 col2\" >97.50</td>\n",
+ " <td id=\"T_7510d_row19_col3\" class=\"data row19 col3\" >3.05</td>\n",
+ " <td id=\"T_7510d_row19_col4\" class=\"data row19 col4\" >1.22</td>\n",
+ " <td id=\"T_7510d_row19_col5\" class=\"data row19 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff3b60850>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_72f38 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_72f38 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_72f38_row0_col0, #T_72f38_row0_col2, #T_72f38_row4_col0, #T_72f38_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row0_col4, #T_72f38_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row1_col0, #T_72f38_row1_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_72f38_row2_col0 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row2_col2 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row2_col4 {\n",
+ " background-color: #f97070;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_72f38_row3_col0 {\n",
+ " background-color: #66fc66;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row3_col2 {\n",
+ " background-color: #41fe41;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_72f38_row3_col4 {\n",
+ " background-color: #f5c5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_72f38\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_72f38_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_72f38_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_72f38_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_72f38_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_72f38_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_72f38_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_72f38_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_72f38_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_72f38_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_72f38_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_72f38_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_72f38_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_72f38_row0_col0\" class=\"data row0 col0\" >89.61</td>\n",
+ " <td id=\"T_72f38_row0_col1\" class=\"data row0 col1\" >2.41</td>\n",
+ " <td id=\"T_72f38_row0_col2\" class=\"data row0 col2\" >97.34</td>\n",
+ " <td id=\"T_72f38_row0_col3\" class=\"data row0 col3\" >1.78</td>\n",
+ " <td id=\"T_72f38_row0_col4\" class=\"data row0 col4\" >1.21</td>\n",
+ " <td id=\"T_72f38_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_72f38_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_72f38_row1_col0\" class=\"data row1 col0\" >86.61</td>\n",
+ " <td id=\"T_72f38_row1_col1\" class=\"data row1 col1\" >2.55</td>\n",
+ " <td id=\"T_72f38_row1_col2\" class=\"data row1 col2\" >95.09</td>\n",
+ " <td id=\"T_72f38_row1_col3\" class=\"data row1 col3\" >2.50</td>\n",
+ " <td id=\"T_72f38_row1_col4\" class=\"data row1 col4\" >1.56</td>\n",
+ " <td id=\"T_72f38_row1_col5\" class=\"data row1 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_72f38_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_72f38_row2_col0\" class=\"data row2 col0\" >87.50</td>\n",
+ " <td id=\"T_72f38_row2_col1\" class=\"data row2 col1\" >2.71</td>\n",
+ " <td id=\"T_72f38_row2_col2\" class=\"data row2 col2\" >96.64</td>\n",
+ " <td id=\"T_72f38_row2_col3\" class=\"data row2 col3\" >2.03</td>\n",
+ " <td id=\"T_72f38_row2_col4\" class=\"data row2 col4\" >1.40</td>\n",
+ " <td id=\"T_72f38_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_72f38_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_72f38_row3_col0\" class=\"data row3 col0\" >88.79</td>\n",
+ " <td id=\"T_72f38_row3_col1\" class=\"data row3 col1\" >2.62</td>\n",
+ " <td id=\"T_72f38_row3_col2\" class=\"data row3 col2\" >97.17</td>\n",
+ " <td id=\"T_72f38_row3_col3\" class=\"data row3 col3\" >1.81</td>\n",
+ " <td id=\"T_72f38_row3_col4\" class=\"data row3 col4\" >1.28</td>\n",
+ " <td id=\"T_72f38_row3_col5\" class=\"data row3 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_72f38_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_72f38_row4_col0\" class=\"data row4 col0\" >89.61</td>\n",
+ " <td id=\"T_72f38_row4_col1\" class=\"data row4 col1\" >2.41</td>\n",
+ " <td id=\"T_72f38_row4_col2\" class=\"data row4 col2\" >97.34</td>\n",
+ " <td id=\"T_72f38_row4_col3\" class=\"data row4 col3\" >1.78</td>\n",
+ " <td id=\"T_72f38_row4_col4\" class=\"data row4 col4\" >1.21</td>\n",
+ " <td id=\"T_72f38_row4_col5\" class=\"data row4 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x701038fe8110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_qos(\"medium\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_b8114 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_b8114 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_b8114_row0_col0, #T_b8114_row0_col2, #T_b8114_row1_col0, #T_b8114_row1_col2 {\n",
+ " background-color: #94f994;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row0_col4, #T_b8114_row3_col4, #T_b8114_row16_col4, #T_b8114_row19_col4 {\n",
+ " background-color: #fa6969;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row1_col4, #T_b8114_row17_col4 {\n",
+ " background-color: #fa6767;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row2_col0, #T_b8114_row2_col2 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row2_col4, #T_b8114_row18_col4 {\n",
+ " background-color: #fa6a6a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row3_col0, #T_b8114_row3_col2 {\n",
+ " background-color: #91f991;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row4_col0, #T_b8114_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row5_col0, #T_b8114_row5_col2, #T_b8114_row6_col0, #T_b8114_row6_col2 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row5_col4 {\n",
+ " background-color: #fc3737;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row6_col4 {\n",
+ " background-color: #fc3a3a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row7_col0, #T_b8114_row7_col2 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row7_col4 {\n",
+ " background-color: #fc3939;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row8_col0, #T_b8114_row8_col2, #T_b8114_row9_col0, #T_b8114_row9_col2 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row8_col4 {\n",
+ " background-color: #f5bebe;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row9_col4 {\n",
+ " background-color: #f5bfbf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row10_col0, #T_b8114_row10_col2, #T_b8114_row11_col0, #T_b8114_row11_col2 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row10_col4 {\n",
+ " background-color: #fe0f0f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row11_col4 {\n",
+ " background-color: #fe1111;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row12_col0, #T_b8114_row12_col2 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row12_col4 {\n",
+ " background-color: #f88c8c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row13_col0, #T_b8114_row13_col2 {\n",
+ " background-color: #e5f3e5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row13_col4 {\n",
+ " background-color: #f88888;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row14_col0, #T_b8114_row14_col2 {\n",
+ " background-color: #e6f3e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row14_col4 {\n",
+ " background-color: #f88d8d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row15_col0, #T_b8114_row15_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b8114_row15_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_b8114_row16_col0, #T_b8114_row16_col2, #T_b8114_row17_col0, #T_b8114_row17_col2, #T_b8114_row18_col0, #T_b8114_row18_col2, #T_b8114_row19_col0, #T_b8114_row19_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_b8114\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_b8114_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_b8114_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_b8114_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_b8114_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_b8114_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_b8114_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_b8114_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_b8114_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_b8114_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_b8114_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_b8114_row0_col0\" class=\"data row0 col0\" >17.04</td>\n",
+ " <td id=\"T_b8114_row0_col1\" class=\"data row0 col1\" >2.12</td>\n",
+ " <td id=\"T_b8114_row0_col2\" class=\"data row0 col2\" >1.23</td>\n",
+ " <td id=\"T_b8114_row0_col3\" class=\"data row0 col3\" >0.15</td>\n",
+ " <td id=\"T_b8114_row0_col4\" class=\"data row0 col4\" >51.68</td>\n",
+ " <td id=\"T_b8114_row0_col5\" class=\"data row0 col5\" >6.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_b8114_row1_col0\" class=\"data row1 col0\" >17.01</td>\n",
+ " <td id=\"T_b8114_row1_col1\" class=\"data row1 col1\" >2.06</td>\n",
+ " <td id=\"T_b8114_row1_col2\" class=\"data row1 col2\" >1.23</td>\n",
+ " <td id=\"T_b8114_row1_col3\" class=\"data row1 col3\" >0.15</td>\n",
+ " <td id=\"T_b8114_row1_col4\" class=\"data row1 col4\" >52.60</td>\n",
+ " <td id=\"T_b8114_row1_col5\" class=\"data row1 col5\" >6.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_b8114_row2_col0\" class=\"data row2 col0\" >17.17</td>\n",
+ " <td id=\"T_b8114_row2_col1\" class=\"data row2 col1\" >2.15</td>\n",
+ " <td id=\"T_b8114_row2_col2\" class=\"data row2 col2\" >1.24</td>\n",
+ " <td id=\"T_b8114_row2_col3\" class=\"data row2 col3\" >0.16</td>\n",
+ " <td id=\"T_b8114_row2_col4\" class=\"data row2 col4\" >51.33</td>\n",
+ " <td id=\"T_b8114_row2_col5\" class=\"data row2 col5\" >6.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_b8114_row3_col0\" class=\"data row3 col0\" >17.57</td>\n",
+ " <td id=\"T_b8114_row3_col1\" class=\"data row3 col1\" >2.04</td>\n",
+ " <td id=\"T_b8114_row3_col2\" class=\"data row3 col2\" >1.27</td>\n",
+ " <td id=\"T_b8114_row3_col3\" class=\"data row3 col3\" >0.15</td>\n",
+ " <td id=\"T_b8114_row3_col4\" class=\"data row3 col4\" >51.65</td>\n",
+ " <td id=\"T_b8114_row3_col5\" class=\"data row3 col5\" >6.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_b8114_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_b8114_row4_col0\" class=\"data row4 col0\" >34.91</td>\n",
+ " <td id=\"T_b8114_row4_col1\" class=\"data row4 col1\" >3.61</td>\n",
+ " <td id=\"T_b8114_row4_col2\" class=\"data row4 col2\" >2.53</td>\n",
+ " <td id=\"T_b8114_row4_col3\" class=\"data row4 col3\" >0.26</td>\n",
+ " <td id=\"T_b8114_row4_col4\" class=\"data row4 col4\" >4.98</td>\n",
+ " <td id=\"T_b8114_row4_col5\" class=\"data row4 col5\" >2.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_b8114_row5_col0\" class=\"data row5 col0\" >10.31</td>\n",
+ " <td id=\"T_b8114_row5_col1\" class=\"data row5 col1\" >1.80</td>\n",
+ " <td id=\"T_b8114_row5_col2\" class=\"data row5 col2\" >0.75</td>\n",
+ " <td id=\"T_b8114_row5_col3\" class=\"data row5 col3\" >0.13</td>\n",
+ " <td id=\"T_b8114_row5_col4\" class=\"data row5 col4\" >69.38</td>\n",
+ " <td id=\"T_b8114_row5_col5\" class=\"data row5 col5\" >6.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_b8114_row6_col0\" class=\"data row6 col0\" >10.41</td>\n",
+ " <td id=\"T_b8114_row6_col1\" class=\"data row6 col1\" >1.95</td>\n",
+ " <td id=\"T_b8114_row6_col2\" class=\"data row6 col2\" >0.75</td>\n",
+ " <td id=\"T_b8114_row6_col3\" class=\"data row6 col3\" >0.14</td>\n",
+ " <td id=\"T_b8114_row6_col4\" class=\"data row6 col4\" >68.04</td>\n",
+ " <td id=\"T_b8114_row6_col5\" class=\"data row6 col5\" >6.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_b8114_row7_col0\" class=\"data row7 col0\" >10.63</td>\n",
+ " <td id=\"T_b8114_row7_col1\" class=\"data row7 col1\" >1.94</td>\n",
+ " <td id=\"T_b8114_row7_col2\" class=\"data row7 col2\" >0.77</td>\n",
+ " <td id=\"T_b8114_row7_col3\" class=\"data row7 col3\" >0.14</td>\n",
+ " <td id=\"T_b8114_row7_col4\" class=\"data row7 col4\" >68.32</td>\n",
+ " <td id=\"T_b8114_row7_col5\" class=\"data row7 col5\" >6.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_b8114_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_b8114_row8_col0\" class=\"data row8 col0\" >6.65</td>\n",
+ " <td id=\"T_b8114_row8_col1\" class=\"data row8 col1\" >2.36</td>\n",
+ " <td id=\"T_b8114_row8_col2\" class=\"data row8 col2\" >0.48</td>\n",
+ " <td id=\"T_b8114_row8_col3\" class=\"data row8 col3\" >0.17</td>\n",
+ " <td id=\"T_b8114_row8_col4\" class=\"data row8 col4\" >22.49</td>\n",
+ " <td id=\"T_b8114_row8_col5\" class=\"data row8 col5\" >6.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_b8114_row9_col0\" class=\"data row9 col0\" >6.66</td>\n",
+ " <td id=\"T_b8114_row9_col1\" class=\"data row9 col1\" >2.02</td>\n",
+ " <td id=\"T_b8114_row9_col2\" class=\"data row9 col2\" >0.48</td>\n",
+ " <td id=\"T_b8114_row9_col3\" class=\"data row9 col3\" >0.15</td>\n",
+ " <td id=\"T_b8114_row9_col4\" class=\"data row9 col4\" >22.02</td>\n",
+ " <td id=\"T_b8114_row9_col5\" class=\"data row9 col5\" >6.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_b8114_row10_col0\" class=\"data row10 col0\" >5.00</td>\n",
+ " <td id=\"T_b8114_row10_col1\" class=\"data row10 col1\" >1.28</td>\n",
+ " <td id=\"T_b8114_row10_col2\" class=\"data row10 col2\" >0.36</td>\n",
+ " <td id=\"T_b8114_row10_col3\" class=\"data row10 col3\" >0.09</td>\n",
+ " <td id=\"T_b8114_row10_col4\" class=\"data row10 col4\" >82.96</td>\n",
+ " <td id=\"T_b8114_row10_col5\" class=\"data row10 col5\" >4.43</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_b8114_row11_col0\" class=\"data row11 col0\" >5.22</td>\n",
+ " <td id=\"T_b8114_row11_col1\" class=\"data row11 col1\" >1.45</td>\n",
+ " <td id=\"T_b8114_row11_col2\" class=\"data row11 col2\" >0.38</td>\n",
+ " <td id=\"T_b8114_row11_col3\" class=\"data row11 col3\" >0.10</td>\n",
+ " <td id=\"T_b8114_row11_col4\" class=\"data row11 col4\" >82.33</td>\n",
+ " <td id=\"T_b8114_row11_col5\" class=\"data row11 col5\" >4.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_b8114_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_b8114_row12_col0\" class=\"data row12 col0\" >2.22</td>\n",
+ " <td id=\"T_b8114_row12_col1\" class=\"data row12 col1\" >0.91</td>\n",
+ " <td id=\"T_b8114_row12_col2\" class=\"data row12 col2\" >0.16</td>\n",
+ " <td id=\"T_b8114_row12_col3\" class=\"data row12 col3\" >0.07</td>\n",
+ " <td id=\"T_b8114_row12_col4\" class=\"data row12 col4\" >39.49</td>\n",
+ " <td id=\"T_b8114_row12_col5\" class=\"data row12 col5\" >6.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_b8114_row13_col0\" class=\"data row13 col0\" >1.93</td>\n",
+ " <td id=\"T_b8114_row13_col1\" class=\"data row13 col1\" >0.84</td>\n",
+ " <td id=\"T_b8114_row13_col2\" class=\"data row13 col2\" >0.14</td>\n",
+ " <td id=\"T_b8114_row13_col3\" class=\"data row13 col3\" >0.06</td>\n",
+ " <td id=\"T_b8114_row13_col4\" class=\"data row13 col4\" >41.01</td>\n",
+ " <td id=\"T_b8114_row13_col5\" class=\"data row13 col5\" >6.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_b8114_row14_col0\" class=\"data row14 col0\" >1.88</td>\n",
+ " <td id=\"T_b8114_row14_col1\" class=\"data row14 col1\" >0.78</td>\n",
+ " <td id=\"T_b8114_row14_col2\" class=\"data row14 col2\" >0.14</td>\n",
+ " <td id=\"T_b8114_row14_col3\" class=\"data row14 col3\" >0.06</td>\n",
+ " <td id=\"T_b8114_row14_col4\" class=\"data row14 col4\" >39.28</td>\n",
+ " <td id=\"T_b8114_row14_col5\" class=\"data row14 col5\" >7.49</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_b8114_row15_col0\" class=\"data row15 col0\" >3.19</td>\n",
+ " <td id=\"T_b8114_row15_col1\" class=\"data row15 col1\" >1.17</td>\n",
+ " <td id=\"T_b8114_row15_col2\" class=\"data row15 col2\" >0.23</td>\n",
+ " <td id=\"T_b8114_row15_col3\" class=\"data row15 col3\" >0.08</td>\n",
+ " <td id=\"T_b8114_row15_col4\" class=\"data row15 col4\" >88.26</td>\n",
+ " <td id=\"T_b8114_row15_col5\" class=\"data row15 col5\" >4.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_b8114_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_b8114_row16_col0\" class=\"data row16 col0\" >0.87</td>\n",
+ " <td id=\"T_b8114_row16_col1\" class=\"data row16 col1\" >0.51</td>\n",
+ " <td id=\"T_b8114_row16_col2\" class=\"data row16 col2\" >0.06</td>\n",
+ " <td id=\"T_b8114_row16_col3\" class=\"data row16 col3\" >0.04</td>\n",
+ " <td id=\"T_b8114_row16_col4\" class=\"data row16 col4\" >51.68</td>\n",
+ " <td id=\"T_b8114_row16_col5\" class=\"data row16 col5\" >6.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_b8114_row17_col0\" class=\"data row17 col0\" >0.88</td>\n",
+ " <td id=\"T_b8114_row17_col1\" class=\"data row17 col1\" >0.61</td>\n",
+ " <td id=\"T_b8114_row17_col2\" class=\"data row17 col2\" >0.06</td>\n",
+ " <td id=\"T_b8114_row17_col3\" class=\"data row17 col3\" >0.04</td>\n",
+ " <td id=\"T_b8114_row17_col4\" class=\"data row17 col4\" >52.60</td>\n",
+ " <td id=\"T_b8114_row17_col5\" class=\"data row17 col5\" >6.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_b8114_row18_col0\" class=\"data row18 col0\" >0.89</td>\n",
+ " <td id=\"T_b8114_row18_col1\" class=\"data row18 col1\" >0.53</td>\n",
+ " <td id=\"T_b8114_row18_col2\" class=\"data row18 col2\" >0.06</td>\n",
+ " <td id=\"T_b8114_row18_col3\" class=\"data row18 col3\" >0.04</td>\n",
+ " <td id=\"T_b8114_row18_col4\" class=\"data row18 col4\" >51.33</td>\n",
+ " <td id=\"T_b8114_row18_col5\" class=\"data row18 col5\" >6.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b8114_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_b8114_row19_col0\" class=\"data row19 col0\" >0.97</td>\n",
+ " <td id=\"T_b8114_row19_col1\" class=\"data row19 col1\" >0.56</td>\n",
+ " <td id=\"T_b8114_row19_col2\" class=\"data row19 col2\" >0.07</td>\n",
+ " <td id=\"T_b8114_row19_col3\" class=\"data row19 col3\" >0.04</td>\n",
+ " <td id=\"T_b8114_row19_col4\" class=\"data row19 col4\" >51.65</td>\n",
+ " <td id=\"T_b8114_row19_col5\" class=\"data row19 col5\" >6.10</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff2843810>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_91756 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_91756 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_91756_row0_col0, #T_91756_row0_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_91756_row0_col4, #T_91756_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_91756_row1_col0, #T_91756_row1_col2 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_91756_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_91756_row2_col0, #T_91756_row2_col2 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_91756_row2_col4 {\n",
+ " background-color: #fc4040;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_91756_row3_col0, #T_91756_row3_col2 {\n",
+ " background-color: #dbf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_91756_row3_col4 {\n",
+ " background-color: #f6bbbb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_91756_row4_col0, #T_91756_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_91756\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_91756_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_91756_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_91756_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_91756_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_91756_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_91756_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_91756_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_91756_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_91756_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_91756_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_91756_row0_col0\" class=\"data row0 col0\" >68.79</td>\n",
+ " <td id=\"T_91756_row0_col1\" class=\"data row0 col1\" >3.64</td>\n",
+ " <td id=\"T_91756_row0_col2\" class=\"data row0 col2\" >1.24</td>\n",
+ " <td id=\"T_91756_row0_col3\" class=\"data row0 col3\" >0.07</td>\n",
+ " <td id=\"T_91756_row0_col4\" class=\"data row0 col4\" >51.82</td>\n",
+ " <td id=\"T_91756_row0_col5\" class=\"data row0 col5\" >3.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_91756_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_91756_row1_col0\" class=\"data row1 col0\" >66.26</td>\n",
+ " <td id=\"T_91756_row1_col1\" class=\"data row1 col1\" >3.64</td>\n",
+ " <td id=\"T_91756_row1_col2\" class=\"data row1 col2\" >1.20</td>\n",
+ " <td id=\"T_91756_row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
+ " <td id=\"T_91756_row1_col4\" class=\"data row1 col4\" >52.68</td>\n",
+ " <td id=\"T_91756_row1_col5\" class=\"data row1 col5\" >3.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_91756_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_91756_row2_col0\" class=\"data row2 col0\" >23.54</td>\n",
+ " <td id=\"T_91756_row2_col1\" class=\"data row2 col1\" >3.88</td>\n",
+ " <td id=\"T_91756_row2_col2\" class=\"data row2 col2\" >0.43</td>\n",
+ " <td id=\"T_91756_row2_col3\" class=\"data row2 col3\" >0.07</td>\n",
+ " <td id=\"T_91756_row2_col4\" class=\"data row2 col4\" >52.45</td>\n",
+ " <td id=\"T_91756_row2_col5\" class=\"data row2 col5\" >3.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_91756_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_91756_row3_col0\" class=\"data row3 col0\" >9.23</td>\n",
+ " <td id=\"T_91756_row3_col1\" class=\"data row3 col1\" >1.95</td>\n",
+ " <td id=\"T_91756_row3_col2\" class=\"data row3 col2\" >0.17</td>\n",
+ " <td id=\"T_91756_row3_col3\" class=\"data row3 col3\" >0.04</td>\n",
+ " <td id=\"T_91756_row3_col4\" class=\"data row3 col4\" >52.01</td>\n",
+ " <td id=\"T_91756_row3_col5\" class=\"data row3 col5\" >3.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_91756_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_91756_row4_col0\" class=\"data row4 col0\" >3.60</td>\n",
+ " <td id=\"T_91756_row4_col1\" class=\"data row4 col1\" >1.22</td>\n",
+ " <td id=\"T_91756_row4_col2\" class=\"data row4 col2\" >0.07</td>\n",
+ " <td id=\"T_91756_row4_col3\" class=\"data row4 col3\" >0.02</td>\n",
+ " <td id=\"T_91756_row4_col4\" class=\"data row4 col4\" >51.82</td>\n",
+ " <td id=\"T_91756_row4_col5\" class=\"data row4 col5\" >3.83</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff26f7490>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_money_and_energy(\"medium\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Small"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.plot_graph(\"small\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_9665c td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_9665c th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_9665c_row0_col0, #T_9665c_row16_col0 {\n",
+ " background-color: #b2f7b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row0_col2, #T_9665c_row16_col2 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row1_col0, #T_9665c_row17_col0 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row1_col2, #T_9665c_row2_col2, #T_9665c_row17_col2, #T_9665c_row18_col2 {\n",
+ " background-color: #aaf7aa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row2_col0, #T_9665c_row3_col0, #T_9665c_row18_col0, #T_9665c_row19_col0 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row3_col2, #T_9665c_row19_col2 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row4_col0, #T_9665c_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row5_col0, #T_9665c_row6_col0, #T_9665c_row7_col0 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row5_col2 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row6_col2 {\n",
+ " background-color: #d2f5d2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row7_col2 {\n",
+ " background-color: #d0f5d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row8_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row8_col2 {\n",
+ " background-color: #70fb70;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row9_col0 {\n",
+ " background-color: #7ffa7f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row9_col2 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row10_col0 {\n",
+ " background-color: #e8f3e8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row10_col2, #T_9665c_row11_col2 {\n",
+ " background-color: #e4f3e4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row11_col0 {\n",
+ " background-color: #e7f3e7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row12_col0 {\n",
+ " background-color: #a0f8a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row12_col2 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row13_col0, #T_9665c_row14_col0 {\n",
+ " background-color: #a1f8a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row13_col2 {\n",
+ " background-color: #94f994;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row14_col2 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_9665c_row15_col0, #T_9665c_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_9665c\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_9665c_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_9665c_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_9665c_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_9665c_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_9665c_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_9665c_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_9665c_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_9665c_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_9665c_row0_col0\" class=\"data row0 col0\" >20.15</td>\n",
+ " <td id=\"T_9665c_row0_col1\" class=\"data row0 col1\" >3.97</td>\n",
+ " <td id=\"T_9665c_row0_col2\" class=\"data row0 col2\" >20.18</td>\n",
+ " <td id=\"T_9665c_row0_col3\" class=\"data row0 col3\" >3.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_9665c_row1_col0\" class=\"data row1 col0\" >19.68</td>\n",
+ " <td id=\"T_9665c_row1_col1\" class=\"data row1 col1\" >4.16</td>\n",
+ " <td id=\"T_9665c_row1_col2\" class=\"data row1 col2\" >19.93</td>\n",
+ " <td id=\"T_9665c_row1_col3\" class=\"data row1 col3\" >4.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_9665c_row2_col0\" class=\"data row2 col0\" >19.43</td>\n",
+ " <td id=\"T_9665c_row2_col1\" class=\"data row2 col1\" >4.59</td>\n",
+ " <td id=\"T_9665c_row2_col2\" class=\"data row2 col2\" >19.95</td>\n",
+ " <td id=\"T_9665c_row2_col3\" class=\"data row2 col3\" >4.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_9665c_row3_col0\" class=\"data row3 col0\" >19.27</td>\n",
+ " <td id=\"T_9665c_row3_col1\" class=\"data row3 col1\" >3.87</td>\n",
+ " <td id=\"T_9665c_row3_col2\" class=\"data row3 col2\" >19.51</td>\n",
+ " <td id=\"T_9665c_row3_col3\" class=\"data row3 col3\" >3.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_9665c_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_9665c_row4_col0\" class=\"data row4 col0\" >60.94</td>\n",
+ " <td id=\"T_9665c_row4_col1\" class=\"data row4 col1\" >5.21</td>\n",
+ " <td id=\"T_9665c_row4_col2\" class=\"data row4 col2\" >51.84</td>\n",
+ " <td id=\"T_9665c_row4_col3\" class=\"data row4 col3\" >5.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_9665c_row5_col0\" class=\"data row5 col0\" >5.92</td>\n",
+ " <td id=\"T_9665c_row5_col1\" class=\"data row5 col1\" >2.34</td>\n",
+ " <td id=\"T_9665c_row5_col2\" class=\"data row5 col2\" >9.34</td>\n",
+ " <td id=\"T_9665c_row5_col3\" class=\"data row5 col3\" >3.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_9665c_row6_col0\" class=\"data row6 col0\" >6.00</td>\n",
+ " <td id=\"T_9665c_row6_col1\" class=\"data row6 col1\" >2.41</td>\n",
+ " <td id=\"T_9665c_row6_col2\" class=\"data row6 col2\" >9.05</td>\n",
+ " <td id=\"T_9665c_row6_col3\" class=\"data row6 col3\" >3.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_9665c_row7_col0\" class=\"data row7 col0\" >5.88</td>\n",
+ " <td id=\"T_9665c_row7_col1\" class=\"data row7 col1\" >2.71</td>\n",
+ " <td id=\"T_9665c_row7_col2\" class=\"data row7 col2\" >9.64</td>\n",
+ " <td id=\"T_9665c_row7_col3\" class=\"data row7 col3\" >3.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_9665c_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_9665c_row8_col0\" class=\"data row8 col0\" >36.79</td>\n",
+ " <td id=\"T_9665c_row8_col1\" class=\"data row8 col1\" >5.23</td>\n",
+ " <td id=\"T_9665c_row8_col2\" class=\"data row8 col2\" >35.55</td>\n",
+ " <td id=\"T_9665c_row8_col3\" class=\"data row8 col3\" >4.92</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_9665c_row9_col0\" class=\"data row9 col0\" >36.54</td>\n",
+ " <td id=\"T_9665c_row9_col1\" class=\"data row9 col1\" >5.02</td>\n",
+ " <td id=\"T_9665c_row9_col2\" class=\"data row9 col2\" >35.73</td>\n",
+ " <td id=\"T_9665c_row9_col3\" class=\"data row9 col3\" >5.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_9665c_row10_col0\" class=\"data row10 col0\" >2.55</td>\n",
+ " <td id=\"T_9665c_row10_col1\" class=\"data row10 col1\" >1.71</td>\n",
+ " <td id=\"T_9665c_row10_col2\" class=\"data row10 col2\" >4.38</td>\n",
+ " <td id=\"T_9665c_row10_col3\" class=\"data row10 col3\" >2.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_9665c_row11_col0\" class=\"data row11 col0\" >2.85</td>\n",
+ " <td id=\"T_9665c_row11_col1\" class=\"data row11 col1\" >1.84</td>\n",
+ " <td id=\"T_9665c_row11_col2\" class=\"data row11 col2\" >4.19</td>\n",
+ " <td id=\"T_9665c_row11_col3\" class=\"data row11 col3\" >2.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_9665c_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_9665c_row12_col0\" class=\"data row12 col0\" >25.91</td>\n",
+ " <td id=\"T_9665c_row12_col1\" class=\"data row12 col1\" >4.83</td>\n",
+ " <td id=\"T_9665c_row12_col2\" class=\"data row12 col2\" >25.48</td>\n",
+ " <td id=\"T_9665c_row12_col3\" class=\"data row12 col3\" >4.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_9665c_row13_col0\" class=\"data row13 col0\" >25.52</td>\n",
+ " <td id=\"T_9665c_row13_col1\" class=\"data row13 col1\" >4.12</td>\n",
+ " <td id=\"T_9665c_row13_col2\" class=\"data row13 col2\" >25.82</td>\n",
+ " <td id=\"T_9665c_row13_col3\" class=\"data row13 col3\" >4.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_9665c_row14_col0\" class=\"data row14 col0\" >25.73</td>\n",
+ " <td id=\"T_9665c_row14_col1\" class=\"data row14 col1\" >4.75</td>\n",
+ " <td id=\"T_9665c_row14_col2\" class=\"data row14 col2\" >26.06</td>\n",
+ " <td id=\"T_9665c_row14_col3\" class=\"data row14 col3\" >5.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_9665c_row15_col0\" class=\"data row15 col0\" >1.64</td>\n",
+ " <td id=\"T_9665c_row15_col1\" class=\"data row15 col1\" >1.48</td>\n",
+ " <td id=\"T_9665c_row15_col2\" class=\"data row15 col2\" >2.45</td>\n",
+ " <td id=\"T_9665c_row15_col3\" class=\"data row15 col3\" >1.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_9665c_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_9665c_row16_col0\" class=\"data row16 col0\" >20.15</td>\n",
+ " <td id=\"T_9665c_row16_col1\" class=\"data row16 col1\" >3.97</td>\n",
+ " <td id=\"T_9665c_row16_col2\" class=\"data row16 col2\" >20.18</td>\n",
+ " <td id=\"T_9665c_row16_col3\" class=\"data row16 col3\" >3.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_9665c_row17_col0\" class=\"data row17 col0\" >19.68</td>\n",
+ " <td id=\"T_9665c_row17_col1\" class=\"data row17 col1\" >4.16</td>\n",
+ " <td id=\"T_9665c_row17_col2\" class=\"data row17 col2\" >19.93</td>\n",
+ " <td id=\"T_9665c_row17_col3\" class=\"data row17 col3\" >4.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_9665c_row18_col0\" class=\"data row18 col0\" >19.43</td>\n",
+ " <td id=\"T_9665c_row18_col1\" class=\"data row18 col1\" >4.59</td>\n",
+ " <td id=\"T_9665c_row18_col2\" class=\"data row18 col2\" >19.95</td>\n",
+ " <td id=\"T_9665c_row18_col3\" class=\"data row18 col3\" >4.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9665c_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_9665c_row19_col0\" class=\"data row19 col0\" >19.27</td>\n",
+ " <td id=\"T_9665c_row19_col1\" class=\"data row19 col1\" >3.87</td>\n",
+ " <td id=\"T_9665c_row19_col2\" class=\"data row19 col2\" >19.51</td>\n",
+ " <td id=\"T_9665c_row19_col3\" class=\"data row19 col3\" >3.67</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff26c9510>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_67c26 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_67c26 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_67c26_row0_col0, #T_67c26_row0_col2, #T_67c26_row4_col0, #T_67c26_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_67c26_row1_col0 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_67c26_row1_col2, #T_67c26_row3_col0 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_67c26_row2_col0 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_67c26_row2_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_67c26_row3_col2 {\n",
+ " background-color: #52fd52;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_67c26\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_67c26_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_67c26_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_67c26_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_67c26_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_67c26_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_67c26_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_67c26_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_67c26_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_67c26_row0_col0\" class=\"data row0 col0\" >78.53</td>\n",
+ " <td id=\"T_67c26_row0_col1\" class=\"data row0 col1\" >5.03</td>\n",
+ " <td id=\"T_67c26_row0_col2\" class=\"data row0 col2\" >79.56</td>\n",
+ " <td id=\"T_67c26_row0_col3\" class=\"data row0 col3\" >4.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67c26_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_67c26_row1_col0\" class=\"data row1 col0\" >78.74</td>\n",
+ " <td id=\"T_67c26_row1_col1\" class=\"data row1 col1\" >4.99</td>\n",
+ " <td id=\"T_67c26_row1_col2\" class=\"data row1 col2\" >79.86</td>\n",
+ " <td id=\"T_67c26_row1_col3\" class=\"data row1 col3\" >4.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67c26_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_67c26_row2_col0\" class=\"data row2 col0\" >78.72</td>\n",
+ " <td id=\"T_67c26_row2_col1\" class=\"data row2 col1\" >4.98</td>\n",
+ " <td id=\"T_67c26_row2_col2\" class=\"data row2 col2\" >79.84</td>\n",
+ " <td id=\"T_67c26_row2_col3\" class=\"data row2 col3\" >4.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67c26_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_67c26_row3_col0\" class=\"data row3 col0\" >78.80</td>\n",
+ " <td id=\"T_67c26_row3_col1\" class=\"data row3 col1\" >5.02</td>\n",
+ " <td id=\"T_67c26_row3_col2\" class=\"data row3 col2\" >79.81</td>\n",
+ " <td id=\"T_67c26_row3_col3\" class=\"data row3 col3\" >4.25</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67c26_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_67c26_row4_col0\" class=\"data row4 col0\" >78.53</td>\n",
+ " <td id=\"T_67c26_row4_col1\" class=\"data row4 col1\" >5.03</td>\n",
+ " <td id=\"T_67c26_row4_col2\" class=\"data row4 col2\" >79.56</td>\n",
+ " <td id=\"T_67c26_row4_col3\" class=\"data row4 col3\" >4.18</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff2706910>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_bidded(\"small\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_14356 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_14356 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_14356_row0_col0, #T_14356_row3_col2, #T_14356_row16_col0, #T_14356_row19_col2 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row0_col2, #T_14356_row14_col2, #T_14356_row16_col2 {\n",
+ " background-color: #37ff37;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row0_col4, #T_14356_row16_col4 {\n",
+ " background-color: #f3e8e7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row1_col0, #T_14356_row8_col0, #T_14356_row12_col0, #T_14356_row17_col0 {\n",
+ " background-color: #39ff39;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row1_col2, #T_14356_row2_col2, #T_14356_row8_col2, #T_14356_row9_col0, #T_14356_row13_col0, #T_14356_row17_col2, #T_14356_row18_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row1_col4, #T_14356_row17_col4 {\n",
+ " background-color: #f4e2e2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row2_col0, #T_14356_row6_col2, #T_14356_row18_col0 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row2_col4, #T_14356_row18_col4 {\n",
+ " background-color: #f4dfdf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row3_col0, #T_14356_row4_col2, #T_14356_row19_col0 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row3_col4, #T_14356_row19_col4 {\n",
+ " background-color: #f3e6e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row4_col0, #T_14356_row9_col2, #T_14356_row13_col2 {\n",
+ " background-color: #38ff38;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row4_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_14356_row5_col0 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row5_col2 {\n",
+ " background-color: #45fe45;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row5_col4 {\n",
+ " background-color: #f4d6d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row6_col0 {\n",
+ " background-color: #6cfb6c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row6_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row7_col0 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row7_col2 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row7_col4 {\n",
+ " background-color: #f79c9c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row8_col4 {\n",
+ " background-color: #f79a9a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row9_col4 {\n",
+ " background-color: #f79897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row10_col0 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row10_col2 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row10_col4 {\n",
+ " background-color: #f5c2c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row11_col0 {\n",
+ " background-color: #c1f6c1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row11_col2 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row11_col4 {\n",
+ " background-color: #f79e9e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row12_col2 {\n",
+ " background-color: #35ff35;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row12_col4 {\n",
+ " background-color: #f5c7c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row13_col4 {\n",
+ " background-color: #f5caca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row14_col0 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row14_col4 {\n",
+ " background-color: #f5bebe;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row15_col0, #T_14356_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_14356_row15_col4 {\n",
+ " background-color: #f4d3d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_14356\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_14356_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_14356_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_14356_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_14356_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_14356_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_14356_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_14356_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_14356_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_14356_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_14356_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_14356_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_14356_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_14356_row0_col0\" class=\"data row0 col0\" >89.20</td>\n",
+ " <td id=\"T_14356_row0_col1\" class=\"data row0 col1\" >6.34</td>\n",
+ " <td id=\"T_14356_row0_col2\" class=\"data row0 col2\" >97.37</td>\n",
+ " <td id=\"T_14356_row0_col3\" class=\"data row0 col3\" >5.44</td>\n",
+ " <td id=\"T_14356_row0_col4\" class=\"data row0 col4\" >1.12</td>\n",
+ " <td id=\"T_14356_row0_col5\" class=\"data row0 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_14356_row1_col0\" class=\"data row1 col0\" >90.20</td>\n",
+ " <td id=\"T_14356_row1_col1\" class=\"data row1 col1\" >7.97</td>\n",
+ " <td id=\"T_14356_row1_col2\" class=\"data row1 col2\" >98.01</td>\n",
+ " <td id=\"T_14356_row1_col3\" class=\"data row1 col3\" >4.09</td>\n",
+ " <td id=\"T_14356_row1_col4\" class=\"data row1 col4\" >1.13</td>\n",
+ " <td id=\"T_14356_row1_col5\" class=\"data row1 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_14356_row2_col0\" class=\"data row2 col0\" >89.63</td>\n",
+ " <td id=\"T_14356_row2_col1\" class=\"data row2 col1\" >6.50</td>\n",
+ " <td id=\"T_14356_row2_col2\" class=\"data row2 col2\" >97.95</td>\n",
+ " <td id=\"T_14356_row2_col3\" class=\"data row2 col3\" >4.04</td>\n",
+ " <td id=\"T_14356_row2_col4\" class=\"data row2 col4\" >1.13</td>\n",
+ " <td id=\"T_14356_row2_col5\" class=\"data row2 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_14356_row3_col0\" class=\"data row3 col0\" >90.08</td>\n",
+ " <td id=\"T_14356_row3_col1\" class=\"data row3 col1\" >7.41</td>\n",
+ " <td id=\"T_14356_row3_col2\" class=\"data row3 col2\" >95.82</td>\n",
+ " <td id=\"T_14356_row3_col3\" class=\"data row3 col3\" >8.17</td>\n",
+ " <td id=\"T_14356_row3_col4\" class=\"data row3 col4\" >1.13</td>\n",
+ " <td id=\"T_14356_row3_col5\" class=\"data row3 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_14356_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_14356_row4_col0\" class=\"data row4 col0\" >90.39</td>\n",
+ " <td id=\"T_14356_row4_col1\" class=\"data row4 col1\" >4.02</td>\n",
+ " <td id=\"T_14356_row4_col2\" class=\"data row4 col2\" >96.87</td>\n",
+ " <td id=\"T_14356_row4_col3\" class=\"data row4 col3\" >3.35</td>\n",
+ " <td id=\"T_14356_row4_col4\" class=\"data row4 col4\" >1.40</td>\n",
+ " <td id=\"T_14356_row4_col5\" class=\"data row4 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_14356_row5_col0\" class=\"data row5 col0\" >80.62</td>\n",
+ " <td id=\"T_14356_row5_col1\" class=\"data row5 col1\" >13.74</td>\n",
+ " <td id=\"T_14356_row5_col2\" class=\"data row5 col2\" >94.54</td>\n",
+ " <td id=\"T_14356_row5_col3\" class=\"data row5 col3\" >13.60</td>\n",
+ " <td id=\"T_14356_row5_col4\" class=\"data row5 col4\" >1.14</td>\n",
+ " <td id=\"T_14356_row5_col5\" class=\"data row5 col5\" >0.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_14356_row6_col0\" class=\"data row6 col0\" >81.56</td>\n",
+ " <td id=\"T_14356_row6_col1\" class=\"data row6 col1\" >12.03</td>\n",
+ " <td id=\"T_14356_row6_col2\" class=\"data row6 col2\" >96.31</td>\n",
+ " <td id=\"T_14356_row6_col3\" class=\"data row6 col3\" >9.29</td>\n",
+ " <td id=\"T_14356_row6_col4\" class=\"data row6 col4\" >1.11</td>\n",
+ " <td id=\"T_14356_row6_col5\" class=\"data row6 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_14356_row7_col0\" class=\"data row7 col0\" >82.58</td>\n",
+ " <td id=\"T_14356_row7_col1\" class=\"data row7 col1\" >13.44</td>\n",
+ " <td id=\"T_14356_row7_col2\" class=\"data row7 col2\" >91.62</td>\n",
+ " <td id=\"T_14356_row7_col3\" class=\"data row7 col3\" >16.58</td>\n",
+ " <td id=\"T_14356_row7_col4\" class=\"data row7 col4\" >1.21</td>\n",
+ " <td id=\"T_14356_row7_col5\" class=\"data row7 col5\" >0.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_14356_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_14356_row8_col0\" class=\"data row8 col0\" >90.23</td>\n",
+ " <td id=\"T_14356_row8_col1\" class=\"data row8 col1\" >5.06</td>\n",
+ " <td id=\"T_14356_row8_col2\" class=\"data row8 col2\" >98.04</td>\n",
+ " <td id=\"T_14356_row8_col3\" class=\"data row8 col3\" >2.31</td>\n",
+ " <td id=\"T_14356_row8_col4\" class=\"data row8 col4\" >1.21</td>\n",
+ " <td id=\"T_14356_row8_col5\" class=\"data row8 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_14356_row9_col0\" class=\"data row9 col0\" >91.11</td>\n",
+ " <td id=\"T_14356_row9_col1\" class=\"data row9 col1\" >4.66</td>\n",
+ " <td id=\"T_14356_row9_col2\" class=\"data row9 col2\" >97.27</td>\n",
+ " <td id=\"T_14356_row9_col3\" class=\"data row9 col3\" >4.18</td>\n",
+ " <td id=\"T_14356_row9_col4\" class=\"data row9 col4\" >1.22</td>\n",
+ " <td id=\"T_14356_row9_col5\" class=\"data row9 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_14356_row10_col0\" class=\"data row10 col0\" >64.98</td>\n",
+ " <td id=\"T_14356_row10_col1\" class=\"data row10 col1\" >25.36</td>\n",
+ " <td id=\"T_14356_row10_col2\" class=\"data row10 col2\" >81.26</td>\n",
+ " <td id=\"T_14356_row10_col3\" class=\"data row10 col3\" >35.09</td>\n",
+ " <td id=\"T_14356_row10_col4\" class=\"data row10 col4\" >1.17</td>\n",
+ " <td id=\"T_14356_row10_col5\" class=\"data row10 col5\" >0.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_14356_row11_col0\" class=\"data row11 col0\" >67.02</td>\n",
+ " <td id=\"T_14356_row11_col1\" class=\"data row11 col1\" >27.19</td>\n",
+ " <td id=\"T_14356_row11_col2\" class=\"data row11 col2\" >79.70</td>\n",
+ " <td id=\"T_14356_row11_col3\" class=\"data row11 col3\" >36.24</td>\n",
+ " <td id=\"T_14356_row11_col4\" class=\"data row11 col4\" >1.21</td>\n",
+ " <td id=\"T_14356_row11_col5\" class=\"data row11 col5\" >0.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_14356_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_14356_row12_col0\" class=\"data row12 col0\" >90.24</td>\n",
+ " <td id=\"T_14356_row12_col1\" class=\"data row12 col1\" >6.98</td>\n",
+ " <td id=\"T_14356_row12_col2\" class=\"data row12 col2\" >97.64</td>\n",
+ " <td id=\"T_14356_row12_col3\" class=\"data row12 col3\" >3.99</td>\n",
+ " <td id=\"T_14356_row12_col4\" class=\"data row12 col4\" >1.16</td>\n",
+ " <td id=\"T_14356_row12_col5\" class=\"data row12 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_14356_row13_col0\" class=\"data row13 col0\" >90.99</td>\n",
+ " <td id=\"T_14356_row13_col1\" class=\"data row13 col1\" >5.20</td>\n",
+ " <td id=\"T_14356_row13_col2\" class=\"data row13 col2\" >97.17</td>\n",
+ " <td id=\"T_14356_row13_col3\" class=\"data row13 col3\" >5.41</td>\n",
+ " <td id=\"T_14356_row13_col4\" class=\"data row13 col4\" >1.16</td>\n",
+ " <td id=\"T_14356_row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_14356_row14_col0\" class=\"data row14 col0\" >88.64</td>\n",
+ " <td id=\"T_14356_row14_col1\" class=\"data row14 col1\" >7.09</td>\n",
+ " <td id=\"T_14356_row14_col2\" class=\"data row14 col2\" >97.37</td>\n",
+ " <td id=\"T_14356_row14_col3\" class=\"data row14 col3\" >4.97</td>\n",
+ " <td id=\"T_14356_row14_col4\" class=\"data row14 col4\" >1.17</td>\n",
+ " <td id=\"T_14356_row14_col5\" class=\"data row14 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_14356_row15_col0\" class=\"data row15 col0\" >59.84</td>\n",
+ " <td id=\"T_14356_row15_col1\" class=\"data row15 col1\" >32.49</td>\n",
+ " <td id=\"T_14356_row15_col2\" class=\"data row15 col2\" >61.37</td>\n",
+ " <td id=\"T_14356_row15_col3\" class=\"data row15 col3\" >45.82</td>\n",
+ " <td id=\"T_14356_row15_col4\" class=\"data row15 col4\" >1.15</td>\n",
+ " <td id=\"T_14356_row15_col5\" class=\"data row15 col5\" >0.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_14356_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_14356_row16_col0\" class=\"data row16 col0\" >89.20</td>\n",
+ " <td id=\"T_14356_row16_col1\" class=\"data row16 col1\" >6.34</td>\n",
+ " <td id=\"T_14356_row16_col2\" class=\"data row16 col2\" >97.37</td>\n",
+ " <td id=\"T_14356_row16_col3\" class=\"data row16 col3\" >5.44</td>\n",
+ " <td id=\"T_14356_row16_col4\" class=\"data row16 col4\" >1.12</td>\n",
+ " <td id=\"T_14356_row16_col5\" class=\"data row16 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_14356_row17_col0\" class=\"data row17 col0\" >90.20</td>\n",
+ " <td id=\"T_14356_row17_col1\" class=\"data row17 col1\" >7.97</td>\n",
+ " <td id=\"T_14356_row17_col2\" class=\"data row17 col2\" >98.01</td>\n",
+ " <td id=\"T_14356_row17_col3\" class=\"data row17 col3\" >4.09</td>\n",
+ " <td id=\"T_14356_row17_col4\" class=\"data row17 col4\" >1.13</td>\n",
+ " <td id=\"T_14356_row17_col5\" class=\"data row17 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_14356_row18_col0\" class=\"data row18 col0\" >89.63</td>\n",
+ " <td id=\"T_14356_row18_col1\" class=\"data row18 col1\" >6.50</td>\n",
+ " <td id=\"T_14356_row18_col2\" class=\"data row18 col2\" >97.95</td>\n",
+ " <td id=\"T_14356_row18_col3\" class=\"data row18 col3\" >4.04</td>\n",
+ " <td id=\"T_14356_row18_col4\" class=\"data row18 col4\" >1.13</td>\n",
+ " <td id=\"T_14356_row18_col5\" class=\"data row18 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_14356_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_14356_row19_col0\" class=\"data row19 col0\" >90.08</td>\n",
+ " <td id=\"T_14356_row19_col1\" class=\"data row19 col1\" >7.41</td>\n",
+ " <td id=\"T_14356_row19_col2\" class=\"data row19 col2\" >95.82</td>\n",
+ " <td id=\"T_14356_row19_col3\" class=\"data row19 col3\" >8.17</td>\n",
+ " <td id=\"T_14356_row19_col4\" class=\"data row19 col4\" >1.13</td>\n",
+ " <td id=\"T_14356_row19_col5\" class=\"data row19 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff2811110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_e112c td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_e112c th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_e112c_row0_col0, #T_e112c_row0_col2, #T_e112c_row4_col0, #T_e112c_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row0_col4, #T_e112c_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row1_col0, #T_e112c_row1_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e112c_row2_col0 {\n",
+ " background-color: #96f996;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row2_col2 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row2_col4 {\n",
+ " background-color: #f88e8e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row3_col0 {\n",
+ " background-color: #5afc5a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row3_col2 {\n",
+ " background-color: #46fe46;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e112c_row3_col4 {\n",
+ " background-color: #f5c6c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_e112c\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_e112c_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_e112c_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_e112c_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_e112c_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_e112c_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_e112c_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_e112c_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_e112c_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_e112c_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_e112c_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_e112c_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_e112c_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_e112c_row0_col0\" class=\"data row0 col0\" >89.77</td>\n",
+ " <td id=\"T_e112c_row0_col1\" class=\"data row0 col1\" >3.76</td>\n",
+ " <td id=\"T_e112c_row0_col2\" class=\"data row0 col2\" >97.40</td>\n",
+ " <td id=\"T_e112c_row0_col3\" class=\"data row0 col3\" >2.82</td>\n",
+ " <td id=\"T_e112c_row0_col4\" class=\"data row0 col4\" >1.13</td>\n",
+ " <td id=\"T_e112c_row0_col5\" class=\"data row0 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e112c_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_e112c_row1_col0\" class=\"data row1 col0\" >87.46</td>\n",
+ " <td id=\"T_e112c_row1_col1\" class=\"data row1 col1\" >3.71</td>\n",
+ " <td id=\"T_e112c_row1_col2\" class=\"data row1 col2\" >96.18</td>\n",
+ " <td id=\"T_e112c_row1_col3\" class=\"data row1 col3\" >3.30</td>\n",
+ " <td id=\"T_e112c_row1_col4\" class=\"data row1 col4\" >1.35</td>\n",
+ " <td id=\"T_e112c_row1_col5\" class=\"data row1 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e112c_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_e112c_row2_col0\" class=\"data row2 col0\" >88.53</td>\n",
+ " <td id=\"T_e112c_row2_col1\" class=\"data row2 col1\" >3.85</td>\n",
+ " <td id=\"T_e112c_row2_col2\" class=\"data row2 col2\" >97.08</td>\n",
+ " <td id=\"T_e112c_row2_col3\" class=\"data row2 col3\" >3.02</td>\n",
+ " <td id=\"T_e112c_row2_col4\" class=\"data row2 col4\" >1.22</td>\n",
+ " <td id=\"T_e112c_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e112c_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_e112c_row3_col0\" class=\"data row3 col0\" >89.29</td>\n",
+ " <td id=\"T_e112c_row3_col1\" class=\"data row3 col1\" >3.69</td>\n",
+ " <td id=\"T_e112c_row3_col2\" class=\"data row3 col2\" >97.28</td>\n",
+ " <td id=\"T_e112c_row3_col3\" class=\"data row3 col3\" >2.82</td>\n",
+ " <td id=\"T_e112c_row3_col4\" class=\"data row3 col4\" >1.17</td>\n",
+ " <td id=\"T_e112c_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e112c_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_e112c_row4_col0\" class=\"data row4 col0\" >89.77</td>\n",
+ " <td id=\"T_e112c_row4_col1\" class=\"data row4 col1\" >3.76</td>\n",
+ " <td id=\"T_e112c_row4_col2\" class=\"data row4 col2\" >97.40</td>\n",
+ " <td id=\"T_e112c_row4_col3\" class=\"data row4 col3\" >2.82</td>\n",
+ " <td id=\"T_e112c_row4_col4\" class=\"data row4 col4\" >1.13</td>\n",
+ " <td id=\"T_e112c_row4_col5\" class=\"data row4 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff2970690>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_qos(\"small\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/fontana/workspace/python_projects/cooperative-vs-non-cooperative-marketplace/Analysis/../GenerateVisualisation/experiments_analysis.py:1160: RuntimeWarning: invalid value encountered in divide\n",
+ " ratio_benefits_energy_used = np.nan_to_num(total_benefits / energy_used_by_dc)\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_59f26 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_59f26 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_59f26_row0_col0, #T_59f26_row0_col2 {\n",
+ " background-color: #aaf7aa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row0_col4, #T_59f26_row16_col4 {\n",
+ " background-color: #fb5454;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row1_col0, #T_59f26_row1_col2, #T_59f26_row2_col0, #T_59f26_row2_col2 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row1_col4, #T_59f26_row17_col4 {\n",
+ " background-color: #fb5151;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row2_col4, #T_59f26_row18_col4 {\n",
+ " background-color: #fb5050;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row3_col0, #T_59f26_row3_col2 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row3_col4, #T_59f26_row19_col4 {\n",
+ " background-color: #fb4f4f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row4_col0, #T_59f26_row4_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row5_col0, #T_59f26_row5_col2, #T_59f26_row6_col0, #T_59f26_row6_col2, #T_59f26_row7_col0, #T_59f26_row7_col2 {\n",
+ " background-color: #d6f4d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row5_col4 {\n",
+ " background-color: #fe1a1a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row6_col4, #T_59f26_row7_col4 {\n",
+ " background-color: #fe1818;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row8_col0, #T_59f26_row8_col2 {\n",
+ " background-color: #dbf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row8_col4 {\n",
+ " background-color: #f79a9a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row9_col0, #T_59f26_row9_col2 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row9_col4 {\n",
+ " background-color: #f79999;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row10_col0, #T_59f26_row10_col2 {\n",
+ " background-color: #e4f3e4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row10_col4, #T_59f26_row11_col4 {\n",
+ " background-color: #ff0606;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row11_col0, #T_59f26_row11_col2 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row12_col0, #T_59f26_row12_col2, #T_59f26_row13_col0, #T_59f26_row13_col2, #T_59f26_row14_col0, #T_59f26_row14_col2, #T_59f26_row15_col0, #T_59f26_row15_col2 {\n",
+ " background-color: #e8f3e8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_59f26_row12_col4, #T_59f26_row13_col4 {\n",
+ " background-color: #f96d6d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row14_col4 {\n",
+ " background-color: #fa6969;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row15_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_59f26_row16_col0, #T_59f26_row16_col2, #T_59f26_row17_col0, #T_59f26_row17_col2, #T_59f26_row18_col0, #T_59f26_row18_col2, #T_59f26_row19_col0, #T_59f26_row19_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_59f26\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_59f26_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_59f26_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_59f26_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_59f26_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_59f26_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_59f26_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_59f26_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_59f26_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_59f26_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_59f26_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_59f26_row0_col0\" class=\"data row0 col0\" >9.18</td>\n",
+ " <td id=\"T_59f26_row0_col1\" class=\"data row0 col1\" >1.42</td>\n",
+ " <td id=\"T_59f26_row0_col2\" class=\"data row0 col2\" >0.66</td>\n",
+ " <td id=\"T_59f26_row0_col3\" class=\"data row0 col3\" >0.10</td>\n",
+ " <td id=\"T_59f26_row0_col4\" class=\"data row0 col4\" >73.39</td>\n",
+ " <td id=\"T_59f26_row0_col5\" class=\"data row0 col5\" >5.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_59f26_row1_col0\" class=\"data row1 col0\" >8.85</td>\n",
+ " <td id=\"T_59f26_row1_col1\" class=\"data row1 col1\" >1.69</td>\n",
+ " <td id=\"T_59f26_row1_col2\" class=\"data row1 col2\" >0.64</td>\n",
+ " <td id=\"T_59f26_row1_col3\" class=\"data row1 col3\" >0.12</td>\n",
+ " <td id=\"T_59f26_row1_col4\" class=\"data row1 col4\" >74.23</td>\n",
+ " <td id=\"T_59f26_row1_col5\" class=\"data row1 col5\" >5.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_59f26_row2_col0\" class=\"data row2 col0\" >8.91</td>\n",
+ " <td id=\"T_59f26_row2_col1\" class=\"data row2 col1\" >1.69</td>\n",
+ " <td id=\"T_59f26_row2_col2\" class=\"data row2 col2\" >0.64</td>\n",
+ " <td id=\"T_59f26_row2_col3\" class=\"data row2 col3\" >0.12</td>\n",
+ " <td id=\"T_59f26_row2_col4\" class=\"data row2 col4\" >74.48</td>\n",
+ " <td id=\"T_59f26_row2_col5\" class=\"data row2 col5\" >5.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_59f26_row3_col0\" class=\"data row3 col0\" >8.82</td>\n",
+ " <td id=\"T_59f26_row3_col1\" class=\"data row3 col1\" >1.45</td>\n",
+ " <td id=\"T_59f26_row3_col2\" class=\"data row3 col2\" >0.64</td>\n",
+ " <td id=\"T_59f26_row3_col3\" class=\"data row3 col3\" >0.11</td>\n",
+ " <td id=\"T_59f26_row3_col4\" class=\"data row3 col4\" >74.73</td>\n",
+ " <td id=\"T_59f26_row3_col5\" class=\"data row3 col5\" >4.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% aggre</th>\n",
+ " <th id=\"T_59f26_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_59f26_row4_col0\" class=\"data row4 col0\" >25.62</td>\n",
+ " <td id=\"T_59f26_row4_col1\" class=\"data row4 col1\" >2.41</td>\n",
+ " <td id=\"T_59f26_row4_col2\" class=\"data row4 col2\" >1.85</td>\n",
+ " <td id=\"T_59f26_row4_col3\" class=\"data row4 col3\" >0.17</td>\n",
+ " <td id=\"T_59f26_row4_col4\" class=\"data row4 col4\" >28.77</td>\n",
+ " <td id=\"T_59f26_row4_col5\" class=\"data row4 col5\" >5.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_59f26_row5_col0\" class=\"data row5 col0\" >3.10</td>\n",
+ " <td id=\"T_59f26_row5_col1\" class=\"data row5 col1\" >0.99</td>\n",
+ " <td id=\"T_59f26_row5_col2\" class=\"data row5 col2\" >0.22</td>\n",
+ " <td id=\"T_59f26_row5_col3\" class=\"data row5 col3\" >0.07</td>\n",
+ " <td id=\"T_59f26_row5_col4\" class=\"data row5 col4\" >89.88</td>\n",
+ " <td id=\"T_59f26_row5_col5\" class=\"data row5 col5\" >3.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_59f26_row6_col0\" class=\"data row6 col0\" >2.99</td>\n",
+ " <td id=\"T_59f26_row6_col1\" class=\"data row6 col1\" >1.00</td>\n",
+ " <td id=\"T_59f26_row6_col2\" class=\"data row6 col2\" >0.22</td>\n",
+ " <td id=\"T_59f26_row6_col3\" class=\"data row6 col3\" >0.07</td>\n",
+ " <td id=\"T_59f26_row6_col4\" class=\"data row6 col4\" >90.37</td>\n",
+ " <td id=\"T_59f26_row6_col5\" class=\"data row6 col5\" >3.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_59f26_row7_col0\" class=\"data row7 col0\" >3.06</td>\n",
+ " <td id=\"T_59f26_row7_col1\" class=\"data row7 col1\" >1.14</td>\n",
+ " <td id=\"T_59f26_row7_col2\" class=\"data row7 col2\" >0.22</td>\n",
+ " <td id=\"T_59f26_row7_col3\" class=\"data row7 col3\" >0.08</td>\n",
+ " <td id=\"T_59f26_row7_col4\" class=\"data row7 col4\" >90.18</td>\n",
+ " <td id=\"T_59f26_row7_col5\" class=\"data row7 col5\" >3.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">50% aggre</th>\n",
+ " <th id=\"T_59f26_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_59f26_row8_col0\" class=\"data row8 col0\" >2.39</td>\n",
+ " <td id=\"T_59f26_row8_col1\" class=\"data row8 col1\" >1.08</td>\n",
+ " <td id=\"T_59f26_row8_col2\" class=\"data row8 col2\" >0.17</td>\n",
+ " <td id=\"T_59f26_row8_col3\" class=\"data row8 col3\" >0.08</td>\n",
+ " <td id=\"T_59f26_row8_col4\" class=\"data row8 col4\" >53.22</td>\n",
+ " <td id=\"T_59f26_row8_col5\" class=\"data row8 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_59f26_row9_col0\" class=\"data row9 col0\" >2.61</td>\n",
+ " <td id=\"T_59f26_row9_col1\" class=\"data row9 col1\" >1.20</td>\n",
+ " <td id=\"T_59f26_row9_col2\" class=\"data row9 col2\" >0.19</td>\n",
+ " <td id=\"T_59f26_row9_col3\" class=\"data row9 col3\" >0.09</td>\n",
+ " <td id=\"T_59f26_row9_col4\" class=\"data row9 col4\" >53.70</td>\n",
+ " <td id=\"T_59f26_row9_col5\" class=\"data row9 col5\" >6.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_59f26_row10_col0\" class=\"data row10 col0\" >1.16</td>\n",
+ " <td id=\"T_59f26_row10_col1\" class=\"data row10 col1\" >0.64</td>\n",
+ " <td id=\"T_59f26_row10_col2\" class=\"data row10 col2\" >0.08</td>\n",
+ " <td id=\"T_59f26_row10_col3\" class=\"data row10 col3\" >0.05</td>\n",
+ " <td id=\"T_59f26_row10_col4\" class=\"data row10 col4\" >95.54</td>\n",
+ " <td id=\"T_59f26_row10_col5\" class=\"data row10 col5\" >2.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_59f26_row11_col0\" class=\"data row11 col0\" >1.24</td>\n",
+ " <td id=\"T_59f26_row11_col1\" class=\"data row11 col1\" >0.73</td>\n",
+ " <td id=\"T_59f26_row11_col2\" class=\"data row11 col2\" >0.09</td>\n",
+ " <td id=\"T_59f26_row11_col3\" class=\"data row11 col3\" >0.05</td>\n",
+ " <td id=\"T_59f26_row11_col4\" class=\"data row11 col4\" >95.62</td>\n",
+ " <td id=\"T_59f26_row11_col5\" class=\"data row11 col5\" >2.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">75% aggre</th>\n",
+ " <th id=\"T_59f26_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_59f26_row12_col0\" class=\"data row12 col0\" >0.64</td>\n",
+ " <td id=\"T_59f26_row12_col1\" class=\"data row12 col1\" >0.48</td>\n",
+ " <td id=\"T_59f26_row12_col2\" class=\"data row12 col2\" >0.05</td>\n",
+ " <td id=\"T_59f26_row12_col3\" class=\"data row12 col3\" >0.03</td>\n",
+ " <td id=\"T_59f26_row12_col4\" class=\"data row12 col4\" >66.10</td>\n",
+ " <td id=\"T_59f26_row12_col5\" class=\"data row12 col5\" >6.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_59f26_row13_col0\" class=\"data row13 col0\" >0.62</td>\n",
+ " <td id=\"T_59f26_row13_col1\" class=\"data row13 col1\" >0.48</td>\n",
+ " <td id=\"T_59f26_row13_col2\" class=\"data row13 col2\" >0.04</td>\n",
+ " <td id=\"T_59f26_row13_col3\" class=\"data row13 col3\" >0.03</td>\n",
+ " <td id=\"T_59f26_row13_col4\" class=\"data row13 col4\" >66.28</td>\n",
+ " <td id=\"T_59f26_row13_col5\" class=\"data row13 col5\" >5.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_59f26_row14_col0\" class=\"data row14 col0\" >0.62</td>\n",
+ " <td id=\"T_59f26_row14_col1\" class=\"data row14 col1\" >0.56</td>\n",
+ " <td id=\"T_59f26_row14_col2\" class=\"data row14 col2\" >0.05</td>\n",
+ " <td id=\"T_59f26_row14_col3\" class=\"data row14 col3\" >0.04</td>\n",
+ " <td id=\"T_59f26_row14_col4\" class=\"data row14 col4\" >67.34</td>\n",
+ " <td id=\"T_59f26_row14_col5\" class=\"data row14 col5\" >5.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_59f26_row15_col0\" class=\"data row15 col0\" >0.67</td>\n",
+ " <td id=\"T_59f26_row15_col1\" class=\"data row15 col1\" >0.46</td>\n",
+ " <td id=\"T_59f26_row15_col2\" class=\"data row15 col2\" >0.05</td>\n",
+ " <td id=\"T_59f26_row15_col3\" class=\"data row15 col3\" >0.03</td>\n",
+ " <td id=\"T_59f26_row15_col4\" class=\"data row15 col4\" >97.41</td>\n",
+ " <td id=\"T_59f26_row15_col5\" class=\"data row15 col5\" >1.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">all aggre</th>\n",
+ " <th id=\"T_59f26_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_59f26_row16_col0\" class=\"data row16 col0\" >0.24</td>\n",
+ " <td id=\"T_59f26_row16_col1\" class=\"data row16 col1\" >0.26</td>\n",
+ " <td id=\"T_59f26_row16_col2\" class=\"data row16 col2\" >0.02</td>\n",
+ " <td id=\"T_59f26_row16_col3\" class=\"data row16 col3\" >0.02</td>\n",
+ " <td id=\"T_59f26_row16_col4\" class=\"data row16 col4\" >73.39</td>\n",
+ " <td id=\"T_59f26_row16_col5\" class=\"data row16 col5\" >5.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_59f26_row17_col0\" class=\"data row17 col0\" >0.19</td>\n",
+ " <td id=\"T_59f26_row17_col1\" class=\"data row17 col1\" >0.26</td>\n",
+ " <td id=\"T_59f26_row17_col2\" class=\"data row17 col2\" >0.01</td>\n",
+ " <td id=\"T_59f26_row17_col3\" class=\"data row17 col3\" >0.02</td>\n",
+ " <td id=\"T_59f26_row17_col4\" class=\"data row17 col4\" >74.23</td>\n",
+ " <td id=\"T_59f26_row17_col5\" class=\"data row17 col5\" >5.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_59f26_row18_col0\" class=\"data row18 col0\" >0.22</td>\n",
+ " <td id=\"T_59f26_row18_col1\" class=\"data row18 col1\" >0.24</td>\n",
+ " <td id=\"T_59f26_row18_col2\" class=\"data row18 col2\" >0.02</td>\n",
+ " <td id=\"T_59f26_row18_col3\" class=\"data row18 col3\" >0.02</td>\n",
+ " <td id=\"T_59f26_row18_col4\" class=\"data row18 col4\" >74.48</td>\n",
+ " <td id=\"T_59f26_row18_col5\" class=\"data row18 col5\" >5.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_59f26_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_59f26_row19_col0\" class=\"data row19 col0\" >0.22</td>\n",
+ " <td id=\"T_59f26_row19_col1\" class=\"data row19 col1\" >0.27</td>\n",
+ " <td id=\"T_59f26_row19_col2\" class=\"data row19 col2\" >0.02</td>\n",
+ " <td id=\"T_59f26_row19_col3\" class=\"data row19 col3\" >0.02</td>\n",
+ " <td id=\"T_59f26_row19_col4\" class=\"data row19 col4\" >74.73</td>\n",
+ " <td id=\"T_59f26_row19_col5\" class=\"data row19 col5\" >4.55</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff275c090>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_5ea6b td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_5ea6b th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_5ea6b_row0_col0, #T_5ea6b_row0_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_5ea6b_row0_col4, #T_5ea6b_row4_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_5ea6b_row1_col0, #T_5ea6b_row1_col2 {\n",
+ " background-color: #39ff39;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_5ea6b_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_5ea6b_row2_col0, #T_5ea6b_row2_col2 {\n",
+ " background-color: #c9f5c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_5ea6b_row2_col4 {\n",
+ " background-color: #f97272;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_5ea6b_row3_col0, #T_5ea6b_row3_col2 {\n",
+ " background-color: #e2f4e2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_5ea6b_row3_col4 {\n",
+ " background-color: #f4d3d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_5ea6b_row4_col0, #T_5ea6b_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_5ea6b\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_5ea6b_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_5ea6b_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_5ea6b_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_5ea6b_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_5ea6b_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_5ea6b_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_5ea6b_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_5ea6b_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_5ea6b_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_5ea6b_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_5ea6b_row0_col0\" class=\"data row0 col0\" >35.76</td>\n",
+ " <td id=\"T_5ea6b_row0_col1\" class=\"data row0 col1\" >2.61</td>\n",
+ " <td id=\"T_5ea6b_row0_col2\" class=\"data row0 col2\" >0.65</td>\n",
+ " <td id=\"T_5ea6b_row0_col3\" class=\"data row0 col3\" >0.05</td>\n",
+ " <td id=\"T_5ea6b_row0_col4\" class=\"data row0 col4\" >74.21</td>\n",
+ " <td id=\"T_5ea6b_row0_col5\" class=\"data row0 col5\" >2.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5ea6b_level0_row1\" class=\"row_heading level0 row1\" >25% aggre</th>\n",
+ " <td id=\"T_5ea6b_row1_col0\" class=\"data row1 col0\" >34.77</td>\n",
+ " <td id=\"T_5ea6b_row1_col1\" class=\"data row1 col1\" >2.58</td>\n",
+ " <td id=\"T_5ea6b_row1_col2\" class=\"data row1 col2\" >0.63</td>\n",
+ " <td id=\"T_5ea6b_row1_col3\" class=\"data row1 col3\" >0.05</td>\n",
+ " <td id=\"T_5ea6b_row1_col4\" class=\"data row1 col4\" >74.80</td>\n",
+ " <td id=\"T_5ea6b_row1_col5\" class=\"data row1 col5\" >2.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5ea6b_level0_row2\" class=\"row_heading level0 row2\" >50% aggre</th>\n",
+ " <td id=\"T_5ea6b_row2_col0\" class=\"data row2 col0\" >7.40</td>\n",
+ " <td id=\"T_5ea6b_row2_col1\" class=\"data row2 col1\" >2.13</td>\n",
+ " <td id=\"T_5ea6b_row2_col2\" class=\"data row2 col2\" >0.13</td>\n",
+ " <td id=\"T_5ea6b_row2_col3\" class=\"data row2 col3\" >0.04</td>\n",
+ " <td id=\"T_5ea6b_row2_col4\" class=\"data row2 col4\" >74.52</td>\n",
+ " <td id=\"T_5ea6b_row2_col5\" class=\"data row2 col5\" >2.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5ea6b_level0_row3\" class=\"row_heading level0 row3\" >75% aggre</th>\n",
+ " <td id=\"T_5ea6b_row3_col0\" class=\"data row3 col0\" >2.56</td>\n",
+ " <td id=\"T_5ea6b_row3_col1\" class=\"data row3 col1\" >1.10</td>\n",
+ " <td id=\"T_5ea6b_row3_col2\" class=\"data row3 col2\" >0.05</td>\n",
+ " <td id=\"T_5ea6b_row3_col3\" class=\"data row3 col3\" >0.02</td>\n",
+ " <td id=\"T_5ea6b_row3_col4\" class=\"data row3 col4\" >74.28</td>\n",
+ " <td id=\"T_5ea6b_row3_col5\" class=\"data row3 col5\" >2.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5ea6b_level0_row4\" class=\"row_heading level0 row4\" >all aggre</th>\n",
+ " <td id=\"T_5ea6b_row4_col0\" class=\"data row4 col0\" >0.87</td>\n",
+ " <td id=\"T_5ea6b_row4_col1\" class=\"data row4 col1\" >0.62</td>\n",
+ " <td id=\"T_5ea6b_row4_col2\" class=\"data row4 col2\" >0.02</td>\n",
+ " <td id=\"T_5ea6b_row4_col3\" class=\"data row4 col3\" >0.01</td>\n",
+ " <td id=\"T_5ea6b_row4_col4\" class=\"data row4 col4\" >74.21</td>\n",
+ " <td id=\"T_5ea6b_row4_col5\" class=\"data row4 col5\" >2.53</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x700ff2970790>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_money_and_energy(\"small\", tables_type=\"both\", simplified=True)"
]
@@ -2036,7 +6216,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "opt",
+ "display_name": "Python 3",
"language": "python",
"name": "python3"
},
@@ -2050,7 +6230,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.13.2"
+ "version": "3.11.6"
}
},
"nbformat": 4,
diff --git a/Analysis/Section_7.3.2.ipynb b/Analysis/Section_7.3.2.ipynb
index 5d8e25abc0a1468b634ac395360446db6c087f15..ac8c2615c7d7faecd0ac1233912a00c2b47dc7d7 100644
--- a/Analysis/Section_7.3.2.ipynb
+++ b/Analysis/Section_7.3.2.ipynb
@@ -13,27 +13,21 @@
"metadata": {},
"outputs": [],
"source": [
+ "import sys\n",
+ "sys.path.append(\"../\")\n",
"import numpy as np\n",
"from GenerateVisualisation.experiments_analysis import Analysis, Analysis_plots"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"analysis_list = []\n",
"seeds = range(3, 103)\n",
"\n",
- "# base_folder = \"XPs/1_bell/\"\n",
- "# analysis = Analysis(base_folder=base_folder,\n",
- "# files=[\"/simple_aggre_0_\", \"/simple_aggre_25_\", \"/simple_aggre_50_\", \"/simple_aggre_75_\", \"/simple_aggre_100_\"],\n",
- "# names=[\"Cooperative\", \"25% aggre\", \"50% aggre\", \"75% aggre\", \"all aggre\"],\n",
- "# nb_dcs=4,\n",
- "# seeds = seeds)\n",
- "# analysis_list.append(analysis)\n",
- "\n",
"servers=np.array([(s0, s1, s2, s3) for s0 in [0, 1] for s1 in [0, 1] for s2 in [0, 1] for s3 in [0, 1]])\n",
"idx=[0, 8, 4, 2, 1, 12, 10, 9, 6, 5, 3, 14, 13, 11, 7, 15]\n",
"name = []\n",
@@ -46,7 +40,7 @@
" name.append(\"Cooperative\")\n",
" files.append(\"/simple_aggre_{}_dc_{}_{}_{}_{}_seed_\".format(int(aggre_sum), s0, s1, s2, s3))\n",
"\n",
- "analysis = Analysis(base_folder=\"XPs/2_amplitude/\",\n",
+ "analysis = Analysis(base_folder=\"../XPs/2_amplitude/\",\n",
" files=files,\n",
" names=name,\n",
" nb_dcs=4,\n",
@@ -65,367 +59,367 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_37b7a td {\n",
+ "#T_db8ce td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_37b7a th {\n",
+ "#T_db8ce th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_37b7a_row0_col4, #T_37b7a_row0_col6, #T_37b7a_row0_col8, #T_37b7a_row0_col10, #T_37b7a_row0_col12, #T_37b7a_row0_col14, #T_37b7a_row2_col2, #T_37b7a_row4_col0, #T_37b7a_row15_col4, #T_37b7a_row15_col6, #T_37b7a_row15_col8, #T_37b7a_row15_col12 {\n",
+ "#T_db8ce_row0_col4, #T_db8ce_row0_col6, #T_db8ce_row0_col8, #T_db8ce_row0_col10, #T_db8ce_row0_col12, #T_db8ce_row0_col14, #T_db8ce_row2_col2, #T_db8ce_row4_col0, #T_db8ce_row15_col4, #T_db8ce_row15_col6, #T_db8ce_row15_col8, #T_db8ce_row15_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_37b7a\">\n",
+ "<table id=\"T_db8ce\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_37b7a_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_37b7a_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_37b7a_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_db8ce_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_db8ce_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_db8ce_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_37b7a_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_37b7a_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_37b7a_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_37b7a_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_37b7a_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_37b7a_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_37b7a_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_37b7a_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_db8ce_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_db8ce_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_db8ce_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_db8ce_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_db8ce_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_db8ce_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_db8ce_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_db8ce_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_37b7a_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_37b7a_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_37b7a_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_db8ce_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_db8ce_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_37b7a_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_37b7a_row0_col0\" class=\"data row0 col0\" >88.50</td>\n",
- " <td id=\"T_37b7a_row0_col1\" class=\"data row0 col1\" >3.05</td>\n",
- " <td id=\"T_37b7a_row0_col2\" class=\"data row0 col2\" >84.65</td>\n",
- " <td id=\"T_37b7a_row0_col3\" class=\"data row0 col3\" >3.64</td>\n",
- " <td id=\"T_37b7a_row0_col4\" class=\"data row0 col4\" >91.04</td>\n",
- " <td id=\"T_37b7a_row0_col5\" class=\"data row0 col5\" >1.95</td>\n",
- " <td id=\"T_37b7a_row0_col6\" class=\"data row0 col6\" >98.60</td>\n",
- " <td id=\"T_37b7a_row0_col7\" class=\"data row0 col7\" >1.35</td>\n",
- " <td id=\"T_37b7a_row0_col8\" class=\"data row0 col8\" >1.48</td>\n",
- " <td id=\"T_37b7a_row0_col9\" class=\"data row0 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row0_col10\" class=\"data row0 col10\" >119.77</td>\n",
- " <td id=\"T_37b7a_row0_col11\" class=\"data row0 col11\" >5.54</td>\n",
- " <td id=\"T_37b7a_row0_col12\" class=\"data row0 col12\" >12.89</td>\n",
- " <td id=\"T_37b7a_row0_col13\" class=\"data row0 col13\" >2.48</td>\n",
- " <td id=\"T_37b7a_row0_col14\" class=\"data row0 col14\" >2.17</td>\n",
- " <td id=\"T_37b7a_row0_col15\" class=\"data row0 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_37b7a_row1_col0\" class=\"data row1 col0\" >88.76</td>\n",
- " <td id=\"T_37b7a_row1_col1\" class=\"data row1 col1\" >3.06</td>\n",
- " <td id=\"T_37b7a_row1_col2\" class=\"data row1 col2\" >84.86</td>\n",
- " <td id=\"T_37b7a_row1_col3\" class=\"data row1 col3\" >3.67</td>\n",
- " <td id=\"T_37b7a_row1_col4\" class=\"data row1 col4\" >87.62</td>\n",
- " <td id=\"T_37b7a_row1_col5\" class=\"data row1 col5\" >1.81</td>\n",
- " <td id=\"T_37b7a_row1_col6\" class=\"data row1 col6\" >94.71</td>\n",
- " <td id=\"T_37b7a_row1_col7\" class=\"data row1 col7\" >2.51</td>\n",
- " <td id=\"T_37b7a_row1_col8\" class=\"data row1 col8\" >1.75</td>\n",
- " <td id=\"T_37b7a_row1_col9\" class=\"data row1 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row1_col10\" class=\"data row1 col10\" >112.76</td>\n",
- " <td id=\"T_37b7a_row1_col11\" class=\"data row1 col11\" >5.28</td>\n",
- " <td id=\"T_37b7a_row1_col12\" class=\"data row1 col12\" >13.92</td>\n",
- " <td id=\"T_37b7a_row1_col13\" class=\"data row1 col13\" >2.40</td>\n",
- " <td id=\"T_37b7a_row1_col14\" class=\"data row1 col14\" >2.04</td>\n",
- " <td id=\"T_37b7a_row1_col15\" class=\"data row1 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_37b7a_row2_col0\" class=\"data row2 col0\" >88.71</td>\n",
- " <td id=\"T_37b7a_row2_col1\" class=\"data row2 col1\" >3.01</td>\n",
- " <td id=\"T_37b7a_row2_col2\" class=\"data row2 col2\" >85.11</td>\n",
- " <td id=\"T_37b7a_row2_col3\" class=\"data row2 col3\" >3.54</td>\n",
- " <td id=\"T_37b7a_row2_col4\" class=\"data row2 col4\" >87.62</td>\n",
- " <td id=\"T_37b7a_row2_col5\" class=\"data row2 col5\" >2.00</td>\n",
- " <td id=\"T_37b7a_row2_col6\" class=\"data row2 col6\" >93.40</td>\n",
- " <td id=\"T_37b7a_row2_col7\" class=\"data row2 col7\" >2.74</td>\n",
- " <td id=\"T_37b7a_row2_col8\" class=\"data row2 col8\" >1.77</td>\n",
- " <td id=\"T_37b7a_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_37b7a_row2_col10\" class=\"data row2 col10\" >112.45</td>\n",
- " <td id=\"T_37b7a_row2_col11\" class=\"data row2 col11\" >5.23</td>\n",
- " <td id=\"T_37b7a_row2_col12\" class=\"data row2 col12\" >13.91</td>\n",
- " <td id=\"T_37b7a_row2_col13\" class=\"data row2 col13\" >2.52</td>\n",
- " <td id=\"T_37b7a_row2_col14\" class=\"data row2 col14\" >2.03</td>\n",
- " <td id=\"T_37b7a_row2_col15\" class=\"data row2 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_37b7a_row3_col0\" class=\"data row3 col0\" >88.90</td>\n",
- " <td id=\"T_37b7a_row3_col1\" class=\"data row3 col1\" >2.85</td>\n",
- " <td id=\"T_37b7a_row3_col2\" class=\"data row3 col2\" >84.69</td>\n",
- " <td id=\"T_37b7a_row3_col3\" class=\"data row3 col3\" >3.80</td>\n",
- " <td id=\"T_37b7a_row3_col4\" class=\"data row3 col4\" >87.60</td>\n",
- " <td id=\"T_37b7a_row3_col5\" class=\"data row3 col5\" >2.10</td>\n",
- " <td id=\"T_37b7a_row3_col6\" class=\"data row3 col6\" >93.51</td>\n",
- " <td id=\"T_37b7a_row3_col7\" class=\"data row3 col7\" >2.52</td>\n",
- " <td id=\"T_37b7a_row3_col8\" class=\"data row3 col8\" >1.77</td>\n",
- " <td id=\"T_37b7a_row3_col9\" class=\"data row3 col9\" >0.08</td>\n",
- " <td id=\"T_37b7a_row3_col10\" class=\"data row3 col10\" >112.25</td>\n",
- " <td id=\"T_37b7a_row3_col11\" class=\"data row3 col11\" >5.51</td>\n",
- " <td id=\"T_37b7a_row3_col12\" class=\"data row3 col12\" >14.20</td>\n",
- " <td id=\"T_37b7a_row3_col13\" class=\"data row3 col13\" >2.60</td>\n",
- " <td id=\"T_37b7a_row3_col14\" class=\"data row3 col14\" >2.03</td>\n",
- " <td id=\"T_37b7a_row3_col15\" class=\"data row3 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_37b7a_row4_col0\" class=\"data row4 col0\" >88.93</td>\n",
- " <td id=\"T_37b7a_row4_col1\" class=\"data row4 col1\" >3.07</td>\n",
- " <td id=\"T_37b7a_row4_col2\" class=\"data row4 col2\" >84.62</td>\n",
- " <td id=\"T_37b7a_row4_col3\" class=\"data row4 col3\" >3.61</td>\n",
- " <td id=\"T_37b7a_row4_col4\" class=\"data row4 col4\" >87.89</td>\n",
- " <td id=\"T_37b7a_row4_col5\" class=\"data row4 col5\" >2.03</td>\n",
- " <td id=\"T_37b7a_row4_col6\" class=\"data row4 col6\" >93.28</td>\n",
- " <td id=\"T_37b7a_row4_col7\" class=\"data row4 col7\" >2.87</td>\n",
- " <td id=\"T_37b7a_row4_col8\" class=\"data row4 col8\" >1.75</td>\n",
- " <td id=\"T_37b7a_row4_col9\" class=\"data row4 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row4_col10\" class=\"data row4 col10\" >112.31</td>\n",
- " <td id=\"T_37b7a_row4_col11\" class=\"data row4 col11\" >5.29</td>\n",
- " <td id=\"T_37b7a_row4_col12\" class=\"data row4 col12\" >13.69</td>\n",
- " <td id=\"T_37b7a_row4_col13\" class=\"data row4 col13\" >2.55</td>\n",
- " <td id=\"T_37b7a_row4_col14\" class=\"data row4 col14\" >2.03</td>\n",
- " <td id=\"T_37b7a_row4_col15\" class=\"data row4 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_37b7a_row5_col0\" class=\"data row5 col0\" >88.55</td>\n",
- " <td id=\"T_37b7a_row5_col1\" class=\"data row5 col1\" >3.05</td>\n",
- " <td id=\"T_37b7a_row5_col2\" class=\"data row5 col2\" >84.74</td>\n",
- " <td id=\"T_37b7a_row5_col3\" class=\"data row5 col3\" >3.67</td>\n",
- " <td id=\"T_37b7a_row5_col4\" class=\"data row5 col4\" >88.03</td>\n",
- " <td id=\"T_37b7a_row5_col5\" class=\"data row5 col5\" >1.95</td>\n",
- " <td id=\"T_37b7a_row5_col6\" class=\"data row5 col6\" >95.29</td>\n",
- " <td id=\"T_37b7a_row5_col7\" class=\"data row5 col7\" >2.61</td>\n",
- " <td id=\"T_37b7a_row5_col8\" class=\"data row5 col8\" >1.74</td>\n",
- " <td id=\"T_37b7a_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row5_col10\" class=\"data row5 col10\" >80.97</td>\n",
- " <td id=\"T_37b7a_row5_col11\" class=\"data row5 col11\" >5.58</td>\n",
- " <td id=\"T_37b7a_row5_col12\" class=\"data row5 col12\" >13.98</td>\n",
- " <td id=\"T_37b7a_row5_col13\" class=\"data row5 col13\" >2.58</td>\n",
- " <td id=\"T_37b7a_row5_col14\" class=\"data row5 col14\" >1.46</td>\n",
- " <td id=\"T_37b7a_row5_col15\" class=\"data row5 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_37b7a_row6_col0\" class=\"data row6 col0\" >88.79</td>\n",
- " <td id=\"T_37b7a_row6_col1\" class=\"data row6 col1\" >2.83</td>\n",
- " <td id=\"T_37b7a_row6_col2\" class=\"data row6 col2\" >84.78</td>\n",
- " <td id=\"T_37b7a_row6_col3\" class=\"data row6 col3\" >3.75</td>\n",
- " <td id=\"T_37b7a_row6_col4\" class=\"data row6 col4\" >87.79</td>\n",
- " <td id=\"T_37b7a_row6_col5\" class=\"data row6 col5\" >1.81</td>\n",
- " <td id=\"T_37b7a_row6_col6\" class=\"data row6 col6\" >95.44</td>\n",
- " <td id=\"T_37b7a_row6_col7\" class=\"data row6 col7\" >2.40</td>\n",
- " <td id=\"T_37b7a_row6_col8\" class=\"data row6 col8\" >1.75</td>\n",
- " <td id=\"T_37b7a_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row6_col10\" class=\"data row6 col10\" >81.96</td>\n",
- " <td id=\"T_37b7a_row6_col11\" class=\"data row6 col11\" >4.40</td>\n",
- " <td id=\"T_37b7a_row6_col12\" class=\"data row6 col12\" >14.07</td>\n",
- " <td id=\"T_37b7a_row6_col13\" class=\"data row6 col13\" >2.36</td>\n",
- " <td id=\"T_37b7a_row6_col14\" class=\"data row6 col14\" >1.48</td>\n",
- " <td id=\"T_37b7a_row6_col15\" class=\"data row6 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_37b7a_row7_col0\" class=\"data row7 col0\" >88.68</td>\n",
- " <td id=\"T_37b7a_row7_col1\" class=\"data row7 col1\" >2.93</td>\n",
- " <td id=\"T_37b7a_row7_col2\" class=\"data row7 col2\" >84.80</td>\n",
- " <td id=\"T_37b7a_row7_col3\" class=\"data row7 col3\" >3.72</td>\n",
- " <td id=\"T_37b7a_row7_col4\" class=\"data row7 col4\" >88.10</td>\n",
- " <td id=\"T_37b7a_row7_col5\" class=\"data row7 col5\" >1.89</td>\n",
- " <td id=\"T_37b7a_row7_col6\" class=\"data row7 col6\" >95.41</td>\n",
- " <td id=\"T_37b7a_row7_col7\" class=\"data row7 col7\" >2.53</td>\n",
- " <td id=\"T_37b7a_row7_col8\" class=\"data row7 col8\" >1.71</td>\n",
- " <td id=\"T_37b7a_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row7_col10\" class=\"data row7 col10\" >79.39</td>\n",
- " <td id=\"T_37b7a_row7_col11\" class=\"data row7 col11\" >5.13</td>\n",
- " <td id=\"T_37b7a_row7_col12\" class=\"data row7 col12\" >13.67</td>\n",
- " <td id=\"T_37b7a_row7_col13\" class=\"data row7 col13\" >2.52</td>\n",
- " <td id=\"T_37b7a_row7_col14\" class=\"data row7 col14\" >1.44</td>\n",
- " <td id=\"T_37b7a_row7_col15\" class=\"data row7 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_37b7a_row8_col0\" class=\"data row8 col0\" >88.53</td>\n",
- " <td id=\"T_37b7a_row8_col1\" class=\"data row8 col1\" >2.99</td>\n",
- " <td id=\"T_37b7a_row8_col2\" class=\"data row8 col2\" >84.66</td>\n",
- " <td id=\"T_37b7a_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
- " <td id=\"T_37b7a_row8_col4\" class=\"data row8 col4\" >87.86</td>\n",
- " <td id=\"T_37b7a_row8_col5\" class=\"data row8 col5\" >2.06</td>\n",
- " <td id=\"T_37b7a_row8_col6\" class=\"data row8 col6\" >95.54</td>\n",
- " <td id=\"T_37b7a_row8_col7\" class=\"data row8 col7\" >2.18</td>\n",
- " <td id=\"T_37b7a_row8_col8\" class=\"data row8 col8\" >1.76</td>\n",
- " <td id=\"T_37b7a_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row8_col10\" class=\"data row8 col10\" >77.04</td>\n",
- " <td id=\"T_37b7a_row8_col11\" class=\"data row8 col11\" >4.92</td>\n",
- " <td id=\"T_37b7a_row8_col12\" class=\"data row8 col12\" >14.35</td>\n",
- " <td id=\"T_37b7a_row8_col13\" class=\"data row8 col13\" >2.70</td>\n",
- " <td id=\"T_37b7a_row8_col14\" class=\"data row8 col14\" >1.39</td>\n",
- " <td id=\"T_37b7a_row8_col15\" class=\"data row8 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_37b7a_row9_col0\" class=\"data row9 col0\" >88.66</td>\n",
- " <td id=\"T_37b7a_row9_col1\" class=\"data row9 col1\" >3.05</td>\n",
- " <td id=\"T_37b7a_row9_col2\" class=\"data row9 col2\" >84.68</td>\n",
- " <td id=\"T_37b7a_row9_col3\" class=\"data row9 col3\" >3.68</td>\n",
- " <td id=\"T_37b7a_row9_col4\" class=\"data row9 col4\" >87.75</td>\n",
- " <td id=\"T_37b7a_row9_col5\" class=\"data row9 col5\" >2.09</td>\n",
- " <td id=\"T_37b7a_row9_col6\" class=\"data row9 col6\" >95.59</td>\n",
- " <td id=\"T_37b7a_row9_col7\" class=\"data row9 col7\" >2.33</td>\n",
- " <td id=\"T_37b7a_row9_col8\" class=\"data row9 col8\" >1.73</td>\n",
- " <td id=\"T_37b7a_row9_col9\" class=\"data row9 col9\" >0.07</td>\n",
- " <td id=\"T_37b7a_row9_col10\" class=\"data row9 col10\" >76.81</td>\n",
- " <td id=\"T_37b7a_row9_col11\" class=\"data row9 col11\" >4.37</td>\n",
- " <td id=\"T_37b7a_row9_col12\" class=\"data row9 col12\" >13.94</td>\n",
- " <td id=\"T_37b7a_row9_col13\" class=\"data row9 col13\" >2.61</td>\n",
- " <td id=\"T_37b7a_row9_col14\" class=\"data row9 col14\" >1.39</td>\n",
- " <td id=\"T_37b7a_row9_col15\" class=\"data row9 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_37b7a_row10_col0\" class=\"data row10 col0\" >88.93</td>\n",
- " <td id=\"T_37b7a_row10_col1\" class=\"data row10 col1\" >2.77</td>\n",
- " <td id=\"T_37b7a_row10_col2\" class=\"data row10 col2\" >84.82</td>\n",
- " <td id=\"T_37b7a_row10_col3\" class=\"data row10 col3\" >3.53</td>\n",
- " <td id=\"T_37b7a_row10_col4\" class=\"data row10 col4\" >87.97</td>\n",
- " <td id=\"T_37b7a_row10_col5\" class=\"data row10 col5\" >2.28</td>\n",
- " <td id=\"T_37b7a_row10_col6\" class=\"data row10 col6\" >95.69</td>\n",
- " <td id=\"T_37b7a_row10_col7\" class=\"data row10 col7\" >1.97</td>\n",
- " <td id=\"T_37b7a_row10_col8\" class=\"data row10 col8\" >1.74</td>\n",
- " <td id=\"T_37b7a_row10_col9\" class=\"data row10 col9\" >0.07</td>\n",
- " <td id=\"T_37b7a_row10_col10\" class=\"data row10 col10\" >77.56</td>\n",
- " <td id=\"T_37b7a_row10_col11\" class=\"data row10 col11\" >4.86</td>\n",
- " <td id=\"T_37b7a_row10_col12\" class=\"data row10 col12\" >13.92</td>\n",
- " <td id=\"T_37b7a_row10_col13\" class=\"data row10 col13\" >2.45</td>\n",
- " <td id=\"T_37b7a_row10_col14\" class=\"data row10 col14\" >1.40</td>\n",
- " <td id=\"T_37b7a_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_37b7a_row11_col0\" class=\"data row11 col0\" >88.61</td>\n",
- " <td id=\"T_37b7a_row11_col1\" class=\"data row11 col1\" >2.93</td>\n",
- " <td id=\"T_37b7a_row11_col2\" class=\"data row11 col2\" >84.82</td>\n",
- " <td id=\"T_37b7a_row11_col3\" class=\"data row11 col3\" >3.71</td>\n",
- " <td id=\"T_37b7a_row11_col4\" class=\"data row11 col4\" >88.83</td>\n",
- " <td id=\"T_37b7a_row11_col5\" class=\"data row11 col5\" >1.87</td>\n",
- " <td id=\"T_37b7a_row11_col6\" class=\"data row11 col6\" >97.27</td>\n",
- " <td id=\"T_37b7a_row11_col7\" class=\"data row11 col7\" >1.57</td>\n",
- " <td id=\"T_37b7a_row11_col8\" class=\"data row11 col8\" >1.63</td>\n",
- " <td id=\"T_37b7a_row11_col9\" class=\"data row11 col9\" >0.05</td>\n",
- " <td id=\"T_37b7a_row11_col10\" class=\"data row11 col10\" >47.85</td>\n",
- " <td id=\"T_37b7a_row11_col11\" class=\"data row11 col11\" >4.19</td>\n",
- " <td id=\"T_37b7a_row11_col12\" class=\"data row11 col12\" >13.68</td>\n",
- " <td id=\"T_37b7a_row11_col13\" class=\"data row11 col13\" >2.44</td>\n",
- " <td id=\"T_37b7a_row11_col14\" class=\"data row11 col14\" >0.87</td>\n",
- " <td id=\"T_37b7a_row11_col15\" class=\"data row11 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_37b7a_row12_col0\" class=\"data row12 col0\" >88.51</td>\n",
- " <td id=\"T_37b7a_row12_col1\" class=\"data row12 col1\" >3.12</td>\n",
- " <td id=\"T_37b7a_row12_col2\" class=\"data row12 col2\" >84.64</td>\n",
- " <td id=\"T_37b7a_row12_col3\" class=\"data row12 col3\" >3.65</td>\n",
- " <td id=\"T_37b7a_row12_col4\" class=\"data row12 col4\" >89.13</td>\n",
- " <td id=\"T_37b7a_row12_col5\" class=\"data row12 col5\" >1.99</td>\n",
- " <td id=\"T_37b7a_row12_col6\" class=\"data row12 col6\" >97.02</td>\n",
- " <td id=\"T_37b7a_row12_col7\" class=\"data row12 col7\" >1.84</td>\n",
- " <td id=\"T_37b7a_row12_col8\" class=\"data row12 col8\" >1.61</td>\n",
- " <td id=\"T_37b7a_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row12_col10\" class=\"data row12 col10\" >47.61</td>\n",
- " <td id=\"T_37b7a_row12_col11\" class=\"data row12 col11\" >4.56</td>\n",
- " <td id=\"T_37b7a_row12_col12\" class=\"data row12 col12\" >13.34</td>\n",
- " <td id=\"T_37b7a_row12_col13\" class=\"data row12 col13\" >2.48</td>\n",
- " <td id=\"T_37b7a_row12_col14\" class=\"data row12 col14\" >0.86</td>\n",
- " <td id=\"T_37b7a_row12_col15\" class=\"data row12 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_37b7a_row13_col0\" class=\"data row13 col0\" >88.80</td>\n",
- " <td id=\"T_37b7a_row13_col1\" class=\"data row13 col1\" >2.98</td>\n",
- " <td id=\"T_37b7a_row13_col2\" class=\"data row13 col2\" >84.87</td>\n",
- " <td id=\"T_37b7a_row13_col3\" class=\"data row13 col3\" >3.57</td>\n",
- " <td id=\"T_37b7a_row13_col4\" class=\"data row13 col4\" >89.00</td>\n",
- " <td id=\"T_37b7a_row13_col5\" class=\"data row13 col5\" >1.85</td>\n",
- " <td id=\"T_37b7a_row13_col6\" class=\"data row13 col6\" >97.37</td>\n",
- " <td id=\"T_37b7a_row13_col7\" class=\"data row13 col7\" >1.56</td>\n",
- " <td id=\"T_37b7a_row13_col8\" class=\"data row13 col8\" >1.61</td>\n",
- " <td id=\"T_37b7a_row13_col9\" class=\"data row13 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row13_col10\" class=\"data row13 col10\" >47.83</td>\n",
- " <td id=\"T_37b7a_row13_col11\" class=\"data row13 col11\" >4.08</td>\n",
- " <td id=\"T_37b7a_row13_col12\" class=\"data row13 col12\" >13.32</td>\n",
- " <td id=\"T_37b7a_row13_col13\" class=\"data row13 col13\" >2.36</td>\n",
- " <td id=\"T_37b7a_row13_col14\" class=\"data row13 col14\" >0.86</td>\n",
- " <td id=\"T_37b7a_row13_col15\" class=\"data row13 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_37b7a_row14_col0\" class=\"data row14 col0\" >88.68</td>\n",
- " <td id=\"T_37b7a_row14_col1\" class=\"data row14 col1\" >2.96</td>\n",
- " <td id=\"T_37b7a_row14_col2\" class=\"data row14 col2\" >84.65</td>\n",
- " <td id=\"T_37b7a_row14_col3\" class=\"data row14 col3\" >3.64</td>\n",
- " <td id=\"T_37b7a_row14_col4\" class=\"data row14 col4\" >89.09</td>\n",
- " <td id=\"T_37b7a_row14_col5\" class=\"data row14 col5\" >2.03</td>\n",
- " <td id=\"T_37b7a_row14_col6\" class=\"data row14 col6\" >97.52</td>\n",
- " <td id=\"T_37b7a_row14_col7\" class=\"data row14 col7\" >1.68</td>\n",
- " <td id=\"T_37b7a_row14_col8\" class=\"data row14 col8\" >1.62</td>\n",
- " <td id=\"T_37b7a_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row14_col10\" class=\"data row14 col10\" >45.64</td>\n",
- " <td id=\"T_37b7a_row14_col11\" class=\"data row14 col11\" >3.87</td>\n",
- " <td id=\"T_37b7a_row14_col12\" class=\"data row14 col12\" >13.81</td>\n",
- " <td id=\"T_37b7a_row14_col13\" class=\"data row14 col13\" >2.58</td>\n",
- " <td id=\"T_37b7a_row14_col14\" class=\"data row14 col14\" >0.83</td>\n",
- " <td id=\"T_37b7a_row14_col15\" class=\"data row14 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_37b7a_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_37b7a_row15_col0\" class=\"data row15 col0\" >88.50</td>\n",
- " <td id=\"T_37b7a_row15_col1\" class=\"data row15 col1\" >3.05</td>\n",
- " <td id=\"T_37b7a_row15_col2\" class=\"data row15 col2\" >84.65</td>\n",
- " <td id=\"T_37b7a_row15_col3\" class=\"data row15 col3\" >3.64</td>\n",
- " <td id=\"T_37b7a_row15_col4\" class=\"data row15 col4\" >91.04</td>\n",
- " <td id=\"T_37b7a_row15_col5\" class=\"data row15 col5\" >1.95</td>\n",
- " <td id=\"T_37b7a_row15_col6\" class=\"data row15 col6\" >98.60</td>\n",
- " <td id=\"T_37b7a_row15_col7\" class=\"data row15 col7\" >1.35</td>\n",
- " <td id=\"T_37b7a_row15_col8\" class=\"data row15 col8\" >1.48</td>\n",
- " <td id=\"T_37b7a_row15_col9\" class=\"data row15 col9\" >0.06</td>\n",
- " <td id=\"T_37b7a_row15_col10\" class=\"data row15 col10\" >21.21</td>\n",
- " <td id=\"T_37b7a_row15_col11\" class=\"data row15 col11\" >2.69</td>\n",
- " <td id=\"T_37b7a_row15_col12\" class=\"data row15 col12\" >12.89</td>\n",
- " <td id=\"T_37b7a_row15_col13\" class=\"data row15 col13\" >2.48</td>\n",
- " <td id=\"T_37b7a_row15_col14\" class=\"data row15 col14\" >0.38</td>\n",
- " <td id=\"T_37b7a_row15_col15\" class=\"data row15 col15\" >0.05</td>\n",
+ " <th id=\"T_db8ce_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_db8ce_row0_col0\" class=\"data row0 col0\" >88.50</td>\n",
+ " <td id=\"T_db8ce_row0_col1\" class=\"data row0 col1\" >3.05</td>\n",
+ " <td id=\"T_db8ce_row0_col2\" class=\"data row0 col2\" >84.65</td>\n",
+ " <td id=\"T_db8ce_row0_col3\" class=\"data row0 col3\" >3.64</td>\n",
+ " <td id=\"T_db8ce_row0_col4\" class=\"data row0 col4\" >91.04</td>\n",
+ " <td id=\"T_db8ce_row0_col5\" class=\"data row0 col5\" >1.95</td>\n",
+ " <td id=\"T_db8ce_row0_col6\" class=\"data row0 col6\" >98.60</td>\n",
+ " <td id=\"T_db8ce_row0_col7\" class=\"data row0 col7\" >1.35</td>\n",
+ " <td id=\"T_db8ce_row0_col8\" class=\"data row0 col8\" >1.48</td>\n",
+ " <td id=\"T_db8ce_row0_col9\" class=\"data row0 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row0_col10\" class=\"data row0 col10\" >119.77</td>\n",
+ " <td id=\"T_db8ce_row0_col11\" class=\"data row0 col11\" >5.54</td>\n",
+ " <td id=\"T_db8ce_row0_col12\" class=\"data row0 col12\" >12.89</td>\n",
+ " <td id=\"T_db8ce_row0_col13\" class=\"data row0 col13\" >2.48</td>\n",
+ " <td id=\"T_db8ce_row0_col14\" class=\"data row0 col14\" >2.17</td>\n",
+ " <td id=\"T_db8ce_row0_col15\" class=\"data row0 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_db8ce_row1_col0\" class=\"data row1 col0\" >88.76</td>\n",
+ " <td id=\"T_db8ce_row1_col1\" class=\"data row1 col1\" >3.06</td>\n",
+ " <td id=\"T_db8ce_row1_col2\" class=\"data row1 col2\" >84.86</td>\n",
+ " <td id=\"T_db8ce_row1_col3\" class=\"data row1 col3\" >3.67</td>\n",
+ " <td id=\"T_db8ce_row1_col4\" class=\"data row1 col4\" >87.62</td>\n",
+ " <td id=\"T_db8ce_row1_col5\" class=\"data row1 col5\" >1.81</td>\n",
+ " <td id=\"T_db8ce_row1_col6\" class=\"data row1 col6\" >94.71</td>\n",
+ " <td id=\"T_db8ce_row1_col7\" class=\"data row1 col7\" >2.51</td>\n",
+ " <td id=\"T_db8ce_row1_col8\" class=\"data row1 col8\" >1.75</td>\n",
+ " <td id=\"T_db8ce_row1_col9\" class=\"data row1 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row1_col10\" class=\"data row1 col10\" >112.76</td>\n",
+ " <td id=\"T_db8ce_row1_col11\" class=\"data row1 col11\" >5.28</td>\n",
+ " <td id=\"T_db8ce_row1_col12\" class=\"data row1 col12\" >13.92</td>\n",
+ " <td id=\"T_db8ce_row1_col13\" class=\"data row1 col13\" >2.40</td>\n",
+ " <td id=\"T_db8ce_row1_col14\" class=\"data row1 col14\" >2.04</td>\n",
+ " <td id=\"T_db8ce_row1_col15\" class=\"data row1 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_db8ce_row2_col0\" class=\"data row2 col0\" >88.71</td>\n",
+ " <td id=\"T_db8ce_row2_col1\" class=\"data row2 col1\" >3.01</td>\n",
+ " <td id=\"T_db8ce_row2_col2\" class=\"data row2 col2\" >85.11</td>\n",
+ " <td id=\"T_db8ce_row2_col3\" class=\"data row2 col3\" >3.54</td>\n",
+ " <td id=\"T_db8ce_row2_col4\" class=\"data row2 col4\" >87.62</td>\n",
+ " <td id=\"T_db8ce_row2_col5\" class=\"data row2 col5\" >2.00</td>\n",
+ " <td id=\"T_db8ce_row2_col6\" class=\"data row2 col6\" >93.40</td>\n",
+ " <td id=\"T_db8ce_row2_col7\" class=\"data row2 col7\" >2.74</td>\n",
+ " <td id=\"T_db8ce_row2_col8\" class=\"data row2 col8\" >1.77</td>\n",
+ " <td id=\"T_db8ce_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_db8ce_row2_col10\" class=\"data row2 col10\" >112.45</td>\n",
+ " <td id=\"T_db8ce_row2_col11\" class=\"data row2 col11\" >5.23</td>\n",
+ " <td id=\"T_db8ce_row2_col12\" class=\"data row2 col12\" >13.91</td>\n",
+ " <td id=\"T_db8ce_row2_col13\" class=\"data row2 col13\" >2.52</td>\n",
+ " <td id=\"T_db8ce_row2_col14\" class=\"data row2 col14\" >2.03</td>\n",
+ " <td id=\"T_db8ce_row2_col15\" class=\"data row2 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_db8ce_row3_col0\" class=\"data row3 col0\" >88.90</td>\n",
+ " <td id=\"T_db8ce_row3_col1\" class=\"data row3 col1\" >2.85</td>\n",
+ " <td id=\"T_db8ce_row3_col2\" class=\"data row3 col2\" >84.69</td>\n",
+ " <td id=\"T_db8ce_row3_col3\" class=\"data row3 col3\" >3.80</td>\n",
+ " <td id=\"T_db8ce_row3_col4\" class=\"data row3 col4\" >87.60</td>\n",
+ " <td id=\"T_db8ce_row3_col5\" class=\"data row3 col5\" >2.10</td>\n",
+ " <td id=\"T_db8ce_row3_col6\" class=\"data row3 col6\" >93.51</td>\n",
+ " <td id=\"T_db8ce_row3_col7\" class=\"data row3 col7\" >2.52</td>\n",
+ " <td id=\"T_db8ce_row3_col8\" class=\"data row3 col8\" >1.77</td>\n",
+ " <td id=\"T_db8ce_row3_col9\" class=\"data row3 col9\" >0.08</td>\n",
+ " <td id=\"T_db8ce_row3_col10\" class=\"data row3 col10\" >112.25</td>\n",
+ " <td id=\"T_db8ce_row3_col11\" class=\"data row3 col11\" >5.51</td>\n",
+ " <td id=\"T_db8ce_row3_col12\" class=\"data row3 col12\" >14.20</td>\n",
+ " <td id=\"T_db8ce_row3_col13\" class=\"data row3 col13\" >2.60</td>\n",
+ " <td id=\"T_db8ce_row3_col14\" class=\"data row3 col14\" >2.03</td>\n",
+ " <td id=\"T_db8ce_row3_col15\" class=\"data row3 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_db8ce_row4_col0\" class=\"data row4 col0\" >88.93</td>\n",
+ " <td id=\"T_db8ce_row4_col1\" class=\"data row4 col1\" >3.07</td>\n",
+ " <td id=\"T_db8ce_row4_col2\" class=\"data row4 col2\" >84.62</td>\n",
+ " <td id=\"T_db8ce_row4_col3\" class=\"data row4 col3\" >3.61</td>\n",
+ " <td id=\"T_db8ce_row4_col4\" class=\"data row4 col4\" >87.89</td>\n",
+ " <td id=\"T_db8ce_row4_col5\" class=\"data row4 col5\" >2.03</td>\n",
+ " <td id=\"T_db8ce_row4_col6\" class=\"data row4 col6\" >93.28</td>\n",
+ " <td id=\"T_db8ce_row4_col7\" class=\"data row4 col7\" >2.87</td>\n",
+ " <td id=\"T_db8ce_row4_col8\" class=\"data row4 col8\" >1.75</td>\n",
+ " <td id=\"T_db8ce_row4_col9\" class=\"data row4 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row4_col10\" class=\"data row4 col10\" >112.31</td>\n",
+ " <td id=\"T_db8ce_row4_col11\" class=\"data row4 col11\" >5.29</td>\n",
+ " <td id=\"T_db8ce_row4_col12\" class=\"data row4 col12\" >13.69</td>\n",
+ " <td id=\"T_db8ce_row4_col13\" class=\"data row4 col13\" >2.55</td>\n",
+ " <td id=\"T_db8ce_row4_col14\" class=\"data row4 col14\" >2.03</td>\n",
+ " <td id=\"T_db8ce_row4_col15\" class=\"data row4 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_db8ce_row5_col0\" class=\"data row5 col0\" >88.55</td>\n",
+ " <td id=\"T_db8ce_row5_col1\" class=\"data row5 col1\" >3.05</td>\n",
+ " <td id=\"T_db8ce_row5_col2\" class=\"data row5 col2\" >84.74</td>\n",
+ " <td id=\"T_db8ce_row5_col3\" class=\"data row5 col3\" >3.67</td>\n",
+ " <td id=\"T_db8ce_row5_col4\" class=\"data row5 col4\" >88.03</td>\n",
+ " <td id=\"T_db8ce_row5_col5\" class=\"data row5 col5\" >1.95</td>\n",
+ " <td id=\"T_db8ce_row5_col6\" class=\"data row5 col6\" >95.29</td>\n",
+ " <td id=\"T_db8ce_row5_col7\" class=\"data row5 col7\" >2.61</td>\n",
+ " <td id=\"T_db8ce_row5_col8\" class=\"data row5 col8\" >1.74</td>\n",
+ " <td id=\"T_db8ce_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row5_col10\" class=\"data row5 col10\" >80.97</td>\n",
+ " <td id=\"T_db8ce_row5_col11\" class=\"data row5 col11\" >5.58</td>\n",
+ " <td id=\"T_db8ce_row5_col12\" class=\"data row5 col12\" >13.98</td>\n",
+ " <td id=\"T_db8ce_row5_col13\" class=\"data row5 col13\" >2.58</td>\n",
+ " <td id=\"T_db8ce_row5_col14\" class=\"data row5 col14\" >1.46</td>\n",
+ " <td id=\"T_db8ce_row5_col15\" class=\"data row5 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_db8ce_row6_col0\" class=\"data row6 col0\" >88.79</td>\n",
+ " <td id=\"T_db8ce_row6_col1\" class=\"data row6 col1\" >2.83</td>\n",
+ " <td id=\"T_db8ce_row6_col2\" class=\"data row6 col2\" >84.78</td>\n",
+ " <td id=\"T_db8ce_row6_col3\" class=\"data row6 col3\" >3.75</td>\n",
+ " <td id=\"T_db8ce_row6_col4\" class=\"data row6 col4\" >87.79</td>\n",
+ " <td id=\"T_db8ce_row6_col5\" class=\"data row6 col5\" >1.81</td>\n",
+ " <td id=\"T_db8ce_row6_col6\" class=\"data row6 col6\" >95.44</td>\n",
+ " <td id=\"T_db8ce_row6_col7\" class=\"data row6 col7\" >2.40</td>\n",
+ " <td id=\"T_db8ce_row6_col8\" class=\"data row6 col8\" >1.75</td>\n",
+ " <td id=\"T_db8ce_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row6_col10\" class=\"data row6 col10\" >81.96</td>\n",
+ " <td id=\"T_db8ce_row6_col11\" class=\"data row6 col11\" >4.40</td>\n",
+ " <td id=\"T_db8ce_row6_col12\" class=\"data row6 col12\" >14.07</td>\n",
+ " <td id=\"T_db8ce_row6_col13\" class=\"data row6 col13\" >2.36</td>\n",
+ " <td id=\"T_db8ce_row6_col14\" class=\"data row6 col14\" >1.48</td>\n",
+ " <td id=\"T_db8ce_row6_col15\" class=\"data row6 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_db8ce_row7_col0\" class=\"data row7 col0\" >88.68</td>\n",
+ " <td id=\"T_db8ce_row7_col1\" class=\"data row7 col1\" >2.93</td>\n",
+ " <td id=\"T_db8ce_row7_col2\" class=\"data row7 col2\" >84.80</td>\n",
+ " <td id=\"T_db8ce_row7_col3\" class=\"data row7 col3\" >3.72</td>\n",
+ " <td id=\"T_db8ce_row7_col4\" class=\"data row7 col4\" >88.10</td>\n",
+ " <td id=\"T_db8ce_row7_col5\" class=\"data row7 col5\" >1.89</td>\n",
+ " <td id=\"T_db8ce_row7_col6\" class=\"data row7 col6\" >95.41</td>\n",
+ " <td id=\"T_db8ce_row7_col7\" class=\"data row7 col7\" >2.53</td>\n",
+ " <td id=\"T_db8ce_row7_col8\" class=\"data row7 col8\" >1.71</td>\n",
+ " <td id=\"T_db8ce_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row7_col10\" class=\"data row7 col10\" >79.39</td>\n",
+ " <td id=\"T_db8ce_row7_col11\" class=\"data row7 col11\" >5.13</td>\n",
+ " <td id=\"T_db8ce_row7_col12\" class=\"data row7 col12\" >13.67</td>\n",
+ " <td id=\"T_db8ce_row7_col13\" class=\"data row7 col13\" >2.52</td>\n",
+ " <td id=\"T_db8ce_row7_col14\" class=\"data row7 col14\" >1.44</td>\n",
+ " <td id=\"T_db8ce_row7_col15\" class=\"data row7 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_db8ce_row8_col0\" class=\"data row8 col0\" >88.53</td>\n",
+ " <td id=\"T_db8ce_row8_col1\" class=\"data row8 col1\" >2.99</td>\n",
+ " <td id=\"T_db8ce_row8_col2\" class=\"data row8 col2\" >84.66</td>\n",
+ " <td id=\"T_db8ce_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
+ " <td id=\"T_db8ce_row8_col4\" class=\"data row8 col4\" >87.86</td>\n",
+ " <td id=\"T_db8ce_row8_col5\" class=\"data row8 col5\" >2.06</td>\n",
+ " <td id=\"T_db8ce_row8_col6\" class=\"data row8 col6\" >95.54</td>\n",
+ " <td id=\"T_db8ce_row8_col7\" class=\"data row8 col7\" >2.18</td>\n",
+ " <td id=\"T_db8ce_row8_col8\" class=\"data row8 col8\" >1.76</td>\n",
+ " <td id=\"T_db8ce_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row8_col10\" class=\"data row8 col10\" >77.04</td>\n",
+ " <td id=\"T_db8ce_row8_col11\" class=\"data row8 col11\" >4.92</td>\n",
+ " <td id=\"T_db8ce_row8_col12\" class=\"data row8 col12\" >14.35</td>\n",
+ " <td id=\"T_db8ce_row8_col13\" class=\"data row8 col13\" >2.70</td>\n",
+ " <td id=\"T_db8ce_row8_col14\" class=\"data row8 col14\" >1.39</td>\n",
+ " <td id=\"T_db8ce_row8_col15\" class=\"data row8 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_db8ce_row9_col0\" class=\"data row9 col0\" >88.66</td>\n",
+ " <td id=\"T_db8ce_row9_col1\" class=\"data row9 col1\" >3.05</td>\n",
+ " <td id=\"T_db8ce_row9_col2\" class=\"data row9 col2\" >84.68</td>\n",
+ " <td id=\"T_db8ce_row9_col3\" class=\"data row9 col3\" >3.68</td>\n",
+ " <td id=\"T_db8ce_row9_col4\" class=\"data row9 col4\" >87.75</td>\n",
+ " <td id=\"T_db8ce_row9_col5\" class=\"data row9 col5\" >2.09</td>\n",
+ " <td id=\"T_db8ce_row9_col6\" class=\"data row9 col6\" >95.59</td>\n",
+ " <td id=\"T_db8ce_row9_col7\" class=\"data row9 col7\" >2.33</td>\n",
+ " <td id=\"T_db8ce_row9_col8\" class=\"data row9 col8\" >1.73</td>\n",
+ " <td id=\"T_db8ce_row9_col9\" class=\"data row9 col9\" >0.07</td>\n",
+ " <td id=\"T_db8ce_row9_col10\" class=\"data row9 col10\" >76.81</td>\n",
+ " <td id=\"T_db8ce_row9_col11\" class=\"data row9 col11\" >4.37</td>\n",
+ " <td id=\"T_db8ce_row9_col12\" class=\"data row9 col12\" >13.94</td>\n",
+ " <td id=\"T_db8ce_row9_col13\" class=\"data row9 col13\" >2.61</td>\n",
+ " <td id=\"T_db8ce_row9_col14\" class=\"data row9 col14\" >1.39</td>\n",
+ " <td id=\"T_db8ce_row9_col15\" class=\"data row9 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_db8ce_row10_col0\" class=\"data row10 col0\" >88.93</td>\n",
+ " <td id=\"T_db8ce_row10_col1\" class=\"data row10 col1\" >2.77</td>\n",
+ " <td id=\"T_db8ce_row10_col2\" class=\"data row10 col2\" >84.82</td>\n",
+ " <td id=\"T_db8ce_row10_col3\" class=\"data row10 col3\" >3.53</td>\n",
+ " <td id=\"T_db8ce_row10_col4\" class=\"data row10 col4\" >87.97</td>\n",
+ " <td id=\"T_db8ce_row10_col5\" class=\"data row10 col5\" >2.28</td>\n",
+ " <td id=\"T_db8ce_row10_col6\" class=\"data row10 col6\" >95.69</td>\n",
+ " <td id=\"T_db8ce_row10_col7\" class=\"data row10 col7\" >1.97</td>\n",
+ " <td id=\"T_db8ce_row10_col8\" class=\"data row10 col8\" >1.74</td>\n",
+ " <td id=\"T_db8ce_row10_col9\" class=\"data row10 col9\" >0.07</td>\n",
+ " <td id=\"T_db8ce_row10_col10\" class=\"data row10 col10\" >77.56</td>\n",
+ " <td id=\"T_db8ce_row10_col11\" class=\"data row10 col11\" >4.86</td>\n",
+ " <td id=\"T_db8ce_row10_col12\" class=\"data row10 col12\" >13.92</td>\n",
+ " <td id=\"T_db8ce_row10_col13\" class=\"data row10 col13\" >2.45</td>\n",
+ " <td id=\"T_db8ce_row10_col14\" class=\"data row10 col14\" >1.40</td>\n",
+ " <td id=\"T_db8ce_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_db8ce_row11_col0\" class=\"data row11 col0\" >88.61</td>\n",
+ " <td id=\"T_db8ce_row11_col1\" class=\"data row11 col1\" >2.93</td>\n",
+ " <td id=\"T_db8ce_row11_col2\" class=\"data row11 col2\" >84.82</td>\n",
+ " <td id=\"T_db8ce_row11_col3\" class=\"data row11 col3\" >3.71</td>\n",
+ " <td id=\"T_db8ce_row11_col4\" class=\"data row11 col4\" >88.83</td>\n",
+ " <td id=\"T_db8ce_row11_col5\" class=\"data row11 col5\" >1.87</td>\n",
+ " <td id=\"T_db8ce_row11_col6\" class=\"data row11 col6\" >97.27</td>\n",
+ " <td id=\"T_db8ce_row11_col7\" class=\"data row11 col7\" >1.57</td>\n",
+ " <td id=\"T_db8ce_row11_col8\" class=\"data row11 col8\" >1.63</td>\n",
+ " <td id=\"T_db8ce_row11_col9\" class=\"data row11 col9\" >0.05</td>\n",
+ " <td id=\"T_db8ce_row11_col10\" class=\"data row11 col10\" >47.85</td>\n",
+ " <td id=\"T_db8ce_row11_col11\" class=\"data row11 col11\" >4.19</td>\n",
+ " <td id=\"T_db8ce_row11_col12\" class=\"data row11 col12\" >13.68</td>\n",
+ " <td id=\"T_db8ce_row11_col13\" class=\"data row11 col13\" >2.44</td>\n",
+ " <td id=\"T_db8ce_row11_col14\" class=\"data row11 col14\" >0.87</td>\n",
+ " <td id=\"T_db8ce_row11_col15\" class=\"data row11 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_db8ce_row12_col0\" class=\"data row12 col0\" >88.51</td>\n",
+ " <td id=\"T_db8ce_row12_col1\" class=\"data row12 col1\" >3.12</td>\n",
+ " <td id=\"T_db8ce_row12_col2\" class=\"data row12 col2\" >84.64</td>\n",
+ " <td id=\"T_db8ce_row12_col3\" class=\"data row12 col3\" >3.65</td>\n",
+ " <td id=\"T_db8ce_row12_col4\" class=\"data row12 col4\" >89.13</td>\n",
+ " <td id=\"T_db8ce_row12_col5\" class=\"data row12 col5\" >1.99</td>\n",
+ " <td id=\"T_db8ce_row12_col6\" class=\"data row12 col6\" >97.02</td>\n",
+ " <td id=\"T_db8ce_row12_col7\" class=\"data row12 col7\" >1.84</td>\n",
+ " <td id=\"T_db8ce_row12_col8\" class=\"data row12 col8\" >1.61</td>\n",
+ " <td id=\"T_db8ce_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row12_col10\" class=\"data row12 col10\" >47.61</td>\n",
+ " <td id=\"T_db8ce_row12_col11\" class=\"data row12 col11\" >4.56</td>\n",
+ " <td id=\"T_db8ce_row12_col12\" class=\"data row12 col12\" >13.34</td>\n",
+ " <td id=\"T_db8ce_row12_col13\" class=\"data row12 col13\" >2.48</td>\n",
+ " <td id=\"T_db8ce_row12_col14\" class=\"data row12 col14\" >0.86</td>\n",
+ " <td id=\"T_db8ce_row12_col15\" class=\"data row12 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_db8ce_row13_col0\" class=\"data row13 col0\" >88.80</td>\n",
+ " <td id=\"T_db8ce_row13_col1\" class=\"data row13 col1\" >2.98</td>\n",
+ " <td id=\"T_db8ce_row13_col2\" class=\"data row13 col2\" >84.87</td>\n",
+ " <td id=\"T_db8ce_row13_col3\" class=\"data row13 col3\" >3.57</td>\n",
+ " <td id=\"T_db8ce_row13_col4\" class=\"data row13 col4\" >89.00</td>\n",
+ " <td id=\"T_db8ce_row13_col5\" class=\"data row13 col5\" >1.85</td>\n",
+ " <td id=\"T_db8ce_row13_col6\" class=\"data row13 col6\" >97.37</td>\n",
+ " <td id=\"T_db8ce_row13_col7\" class=\"data row13 col7\" >1.56</td>\n",
+ " <td id=\"T_db8ce_row13_col8\" class=\"data row13 col8\" >1.61</td>\n",
+ " <td id=\"T_db8ce_row13_col9\" class=\"data row13 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row13_col10\" class=\"data row13 col10\" >47.83</td>\n",
+ " <td id=\"T_db8ce_row13_col11\" class=\"data row13 col11\" >4.08</td>\n",
+ " <td id=\"T_db8ce_row13_col12\" class=\"data row13 col12\" >13.32</td>\n",
+ " <td id=\"T_db8ce_row13_col13\" class=\"data row13 col13\" >2.36</td>\n",
+ " <td id=\"T_db8ce_row13_col14\" class=\"data row13 col14\" >0.86</td>\n",
+ " <td id=\"T_db8ce_row13_col15\" class=\"data row13 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_db8ce_row14_col0\" class=\"data row14 col0\" >88.68</td>\n",
+ " <td id=\"T_db8ce_row14_col1\" class=\"data row14 col1\" >2.96</td>\n",
+ " <td id=\"T_db8ce_row14_col2\" class=\"data row14 col2\" >84.65</td>\n",
+ " <td id=\"T_db8ce_row14_col3\" class=\"data row14 col3\" >3.64</td>\n",
+ " <td id=\"T_db8ce_row14_col4\" class=\"data row14 col4\" >89.09</td>\n",
+ " <td id=\"T_db8ce_row14_col5\" class=\"data row14 col5\" >2.03</td>\n",
+ " <td id=\"T_db8ce_row14_col6\" class=\"data row14 col6\" >97.52</td>\n",
+ " <td id=\"T_db8ce_row14_col7\" class=\"data row14 col7\" >1.68</td>\n",
+ " <td id=\"T_db8ce_row14_col8\" class=\"data row14 col8\" >1.62</td>\n",
+ " <td id=\"T_db8ce_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row14_col10\" class=\"data row14 col10\" >45.64</td>\n",
+ " <td id=\"T_db8ce_row14_col11\" class=\"data row14 col11\" >3.87</td>\n",
+ " <td id=\"T_db8ce_row14_col12\" class=\"data row14 col12\" >13.81</td>\n",
+ " <td id=\"T_db8ce_row14_col13\" class=\"data row14 col13\" >2.58</td>\n",
+ " <td id=\"T_db8ce_row14_col14\" class=\"data row14 col14\" >0.83</td>\n",
+ " <td id=\"T_db8ce_row14_col15\" class=\"data row14 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_db8ce_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_db8ce_row15_col0\" class=\"data row15 col0\" >88.50</td>\n",
+ " <td id=\"T_db8ce_row15_col1\" class=\"data row15 col1\" >3.05</td>\n",
+ " <td id=\"T_db8ce_row15_col2\" class=\"data row15 col2\" >84.65</td>\n",
+ " <td id=\"T_db8ce_row15_col3\" class=\"data row15 col3\" >3.64</td>\n",
+ " <td id=\"T_db8ce_row15_col4\" class=\"data row15 col4\" >91.04</td>\n",
+ " <td id=\"T_db8ce_row15_col5\" class=\"data row15 col5\" >1.95</td>\n",
+ " <td id=\"T_db8ce_row15_col6\" class=\"data row15 col6\" >98.60</td>\n",
+ " <td id=\"T_db8ce_row15_col7\" class=\"data row15 col7\" >1.35</td>\n",
+ " <td id=\"T_db8ce_row15_col8\" class=\"data row15 col8\" >1.48</td>\n",
+ " <td id=\"T_db8ce_row15_col9\" class=\"data row15 col9\" >0.06</td>\n",
+ " <td id=\"T_db8ce_row15_col10\" class=\"data row15 col10\" >21.21</td>\n",
+ " <td id=\"T_db8ce_row15_col11\" class=\"data row15 col11\" >2.69</td>\n",
+ " <td id=\"T_db8ce_row15_col12\" class=\"data row15 col12\" >12.89</td>\n",
+ " <td id=\"T_db8ce_row15_col13\" class=\"data row15 col13\" >2.48</td>\n",
+ " <td id=\"T_db8ce_row15_col14\" class=\"data row15 col14\" >0.38</td>\n",
+ " <td id=\"T_db8ce_row15_col15\" class=\"data row15 col15\" >0.05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x70cf40374980>"
+ "<pandas.io.formats.style.Styler at 0x760698745e10>"
]
},
"metadata": {},
@@ -435,367 +429,367 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_f6db2 td {\n",
+ "#T_b746f td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f6db2 th {\n",
+ "#T_b746f th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f6db2_row0_col4, #T_f6db2_row0_col6, #T_f6db2_row0_col8, #T_f6db2_row0_col10, #T_f6db2_row0_col12, #T_f6db2_row0_col14, #T_f6db2_row7_col2, #T_f6db2_row13_col0, #T_f6db2_row15_col4, #T_f6db2_row15_col6, #T_f6db2_row15_col8, #T_f6db2_row15_col12 {\n",
+ "#T_b746f_row0_col4, #T_b746f_row0_col6, #T_b746f_row0_col8, #T_b746f_row0_col10, #T_b746f_row0_col12, #T_b746f_row0_col14, #T_b746f_row7_col2, #T_b746f_row13_col0, #T_b746f_row15_col4, #T_b746f_row15_col6, #T_b746f_row15_col8, #T_b746f_row15_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_f6db2\">\n",
+ "<table id=\"T_b746f\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_f6db2_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_f6db2_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_f6db2_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_b746f_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_b746f_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_b746f_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_f6db2_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_f6db2_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_f6db2_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_f6db2_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_f6db2_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_f6db2_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_f6db2_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_f6db2_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_b746f_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_b746f_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_b746f_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_b746f_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_b746f_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_b746f_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_b746f_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_b746f_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_f6db2_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_f6db2_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_f6db2_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_b746f_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_b746f_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_f6db2_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_f6db2_row0_col0\" class=\"data row0 col0\" >96.24</td>\n",
- " <td id=\"T_f6db2_row0_col1\" class=\"data row0 col1\" >1.89</td>\n",
- " <td id=\"T_f6db2_row0_col2\" class=\"data row0 col2\" >95.48</td>\n",
- " <td id=\"T_f6db2_row0_col3\" class=\"data row0 col3\" >2.35</td>\n",
- " <td id=\"T_f6db2_row0_col4\" class=\"data row0 col4\" >96.90</td>\n",
- " <td id=\"T_f6db2_row0_col5\" class=\"data row0 col5\" >1.43</td>\n",
- " <td id=\"T_f6db2_row0_col6\" class=\"data row0 col6\" >99.59</td>\n",
- " <td id=\"T_f6db2_row0_col7\" class=\"data row0 col7\" >0.85</td>\n",
- " <td id=\"T_f6db2_row0_col8\" class=\"data row0 col8\" >1.24</td>\n",
- " <td id=\"T_f6db2_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
- " <td id=\"T_f6db2_row0_col10\" class=\"data row0 col10\" >90.77</td>\n",
- " <td id=\"T_f6db2_row0_col11\" class=\"data row0 col11\" >3.20</td>\n",
- " <td id=\"T_f6db2_row0_col12\" class=\"data row0 col12\" >32.50</td>\n",
- " <td id=\"T_f6db2_row0_col13\" class=\"data row0 col13\" >3.48</td>\n",
- " <td id=\"T_f6db2_row0_col14\" class=\"data row0 col14\" >1.64</td>\n",
- " <td id=\"T_f6db2_row0_col15\" class=\"data row0 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_f6db2_row1_col0\" class=\"data row1 col0\" >96.34</td>\n",
- " <td id=\"T_f6db2_row1_col1\" class=\"data row1 col1\" >1.90</td>\n",
- " <td id=\"T_f6db2_row1_col2\" class=\"data row1 col2\" >95.68</td>\n",
- " <td id=\"T_f6db2_row1_col3\" class=\"data row1 col3\" >2.50</td>\n",
- " <td id=\"T_f6db2_row1_col4\" class=\"data row1 col4\" >93.33</td>\n",
- " <td id=\"T_f6db2_row1_col5\" class=\"data row1 col5\" >1.48</td>\n",
- " <td id=\"T_f6db2_row1_col6\" class=\"data row1 col6\" >97.04</td>\n",
- " <td id=\"T_f6db2_row1_col7\" class=\"data row1 col7\" >1.97</td>\n",
- " <td id=\"T_f6db2_row1_col8\" class=\"data row1 col8\" >1.50</td>\n",
- " <td id=\"T_f6db2_row1_col9\" class=\"data row1 col9\" >0.08</td>\n",
- " <td id=\"T_f6db2_row1_col10\" class=\"data row1 col10\" >86.15</td>\n",
- " <td id=\"T_f6db2_row1_col11\" class=\"data row1 col11\" >3.33</td>\n",
- " <td id=\"T_f6db2_row1_col12\" class=\"data row1 col12\" >33.70</td>\n",
- " <td id=\"T_f6db2_row1_col13\" class=\"data row1 col13\" >3.52</td>\n",
- " <td id=\"T_f6db2_row1_col14\" class=\"data row1 col14\" >1.56</td>\n",
- " <td id=\"T_f6db2_row1_col15\" class=\"data row1 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_f6db2_row2_col0\" class=\"data row2 col0\" >96.25</td>\n",
- " <td id=\"T_f6db2_row2_col1\" class=\"data row2 col1\" >2.07</td>\n",
- " <td id=\"T_f6db2_row2_col2\" class=\"data row2 col2\" >95.62</td>\n",
- " <td id=\"T_f6db2_row2_col3\" class=\"data row2 col3\" >2.40</td>\n",
- " <td id=\"T_f6db2_row2_col4\" class=\"data row2 col4\" >92.77</td>\n",
- " <td id=\"T_f6db2_row2_col5\" class=\"data row2 col5\" >1.73</td>\n",
- " <td id=\"T_f6db2_row2_col6\" class=\"data row2 col6\" >95.78</td>\n",
- " <td id=\"T_f6db2_row2_col7\" class=\"data row2 col7\" >2.13</td>\n",
- " <td id=\"T_f6db2_row2_col8\" class=\"data row2 col8\" >1.57</td>\n",
- " <td id=\"T_f6db2_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_f6db2_row2_col10\" class=\"data row2 col10\" >85.48</td>\n",
- " <td id=\"T_f6db2_row2_col11\" class=\"data row2 col11\" >3.36</td>\n",
- " <td id=\"T_f6db2_row2_col12\" class=\"data row2 col12\" >34.03</td>\n",
- " <td id=\"T_f6db2_row2_col13\" class=\"data row2 col13\" >3.62</td>\n",
- " <td id=\"T_f6db2_row2_col14\" class=\"data row2 col14\" >1.55</td>\n",
- " <td id=\"T_f6db2_row2_col15\" class=\"data row2 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_f6db2_row3_col0\" class=\"data row3 col0\" >96.32</td>\n",
- " <td id=\"T_f6db2_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
- " <td id=\"T_f6db2_row3_col2\" class=\"data row3 col2\" >95.65</td>\n",
- " <td id=\"T_f6db2_row3_col3\" class=\"data row3 col3\" >2.47</td>\n",
- " <td id=\"T_f6db2_row3_col4\" class=\"data row3 col4\" >92.53</td>\n",
- " <td id=\"T_f6db2_row3_col5\" class=\"data row3 col5\" >1.65</td>\n",
- " <td id=\"T_f6db2_row3_col6\" class=\"data row3 col6\" >95.99</td>\n",
- " <td id=\"T_f6db2_row3_col7\" class=\"data row3 col7\" >2.41</td>\n",
- " <td id=\"T_f6db2_row3_col8\" class=\"data row3 col8\" >1.59</td>\n",
- " <td id=\"T_f6db2_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_f6db2_row3_col10\" class=\"data row3 col10\" >85.13</td>\n",
- " <td id=\"T_f6db2_row3_col11\" class=\"data row3 col11\" >3.41</td>\n",
- " <td id=\"T_f6db2_row3_col12\" class=\"data row3 col12\" >34.01</td>\n",
- " <td id=\"T_f6db2_row3_col13\" class=\"data row3 col13\" >3.47</td>\n",
- " <td id=\"T_f6db2_row3_col14\" class=\"data row3 col14\" >1.54</td>\n",
- " <td id=\"T_f6db2_row3_col15\" class=\"data row3 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_f6db2_row4_col0\" class=\"data row4 col0\" >96.26</td>\n",
- " <td id=\"T_f6db2_row4_col1\" class=\"data row4 col1\" >1.92</td>\n",
- " <td id=\"T_f6db2_row4_col2\" class=\"data row4 col2\" >95.59</td>\n",
- " <td id=\"T_f6db2_row4_col3\" class=\"data row4 col3\" >2.39</td>\n",
- " <td id=\"T_f6db2_row4_col4\" class=\"data row4 col4\" >92.58</td>\n",
- " <td id=\"T_f6db2_row4_col5\" class=\"data row4 col5\" >1.63</td>\n",
- " <td id=\"T_f6db2_row4_col6\" class=\"data row4 col6\" >96.13</td>\n",
- " <td id=\"T_f6db2_row4_col7\" class=\"data row4 col7\" >1.97</td>\n",
- " <td id=\"T_f6db2_row4_col8\" class=\"data row4 col8\" >1.56</td>\n",
- " <td id=\"T_f6db2_row4_col9\" class=\"data row4 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row4_col10\" class=\"data row4 col10\" >85.19</td>\n",
- " <td id=\"T_f6db2_row4_col11\" class=\"data row4 col11\" >3.32</td>\n",
- " <td id=\"T_f6db2_row4_col12\" class=\"data row4 col12\" >33.53</td>\n",
- " <td id=\"T_f6db2_row4_col13\" class=\"data row4 col13\" >3.58</td>\n",
- " <td id=\"T_f6db2_row4_col14\" class=\"data row4 col14\" >1.54</td>\n",
- " <td id=\"T_f6db2_row4_col15\" class=\"data row4 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_f6db2_row5_col0\" class=\"data row5 col0\" >96.17</td>\n",
- " <td id=\"T_f6db2_row5_col1\" class=\"data row5 col1\" >1.92</td>\n",
- " <td id=\"T_f6db2_row5_col2\" class=\"data row5 col2\" >95.67</td>\n",
- " <td id=\"T_f6db2_row5_col3\" class=\"data row5 col3\" >2.19</td>\n",
- " <td id=\"T_f6db2_row5_col4\" class=\"data row5 col4\" >93.40</td>\n",
- " <td id=\"T_f6db2_row5_col5\" class=\"data row5 col5\" >1.62</td>\n",
- " <td id=\"T_f6db2_row5_col6\" class=\"data row5 col6\" >97.62</td>\n",
- " <td id=\"T_f6db2_row5_col7\" class=\"data row5 col7\" >1.85</td>\n",
- " <td id=\"T_f6db2_row5_col8\" class=\"data row5 col8\" >1.50</td>\n",
- " <td id=\"T_f6db2_row5_col9\" class=\"data row5 col9\" >0.07</td>\n",
- " <td id=\"T_f6db2_row5_col10\" class=\"data row5 col10\" >54.31</td>\n",
- " <td id=\"T_f6db2_row5_col11\" class=\"data row5 col11\" >4.35</td>\n",
- " <td id=\"T_f6db2_row5_col12\" class=\"data row5 col12\" >33.87</td>\n",
- " <td id=\"T_f6db2_row5_col13\" class=\"data row5 col13\" >3.50</td>\n",
- " <td id=\"T_f6db2_row5_col14\" class=\"data row5 col14\" >0.98</td>\n",
- " <td id=\"T_f6db2_row5_col15\" class=\"data row5 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_f6db2_row6_col0\" class=\"data row6 col0\" >96.36</td>\n",
- " <td id=\"T_f6db2_row6_col1\" class=\"data row6 col1\" >1.89</td>\n",
- " <td id=\"T_f6db2_row6_col2\" class=\"data row6 col2\" >95.79</td>\n",
- " <td id=\"T_f6db2_row6_col3\" class=\"data row6 col3\" >2.38</td>\n",
- " <td id=\"T_f6db2_row6_col4\" class=\"data row6 col4\" >93.47</td>\n",
- " <td id=\"T_f6db2_row6_col5\" class=\"data row6 col5\" >1.50</td>\n",
- " <td id=\"T_f6db2_row6_col6\" class=\"data row6 col6\" >98.04</td>\n",
- " <td id=\"T_f6db2_row6_col7\" class=\"data row6 col7\" >1.46</td>\n",
- " <td id=\"T_f6db2_row6_col8\" class=\"data row6 col8\" >1.50</td>\n",
- " <td id=\"T_f6db2_row6_col9\" class=\"data row6 col9\" >0.07</td>\n",
- " <td id=\"T_f6db2_row6_col10\" class=\"data row6 col10\" >54.27</td>\n",
- " <td id=\"T_f6db2_row6_col11\" class=\"data row6 col11\" >4.46</td>\n",
- " <td id=\"T_f6db2_row6_col12\" class=\"data row6 col12\" >33.80</td>\n",
- " <td id=\"T_f6db2_row6_col13\" class=\"data row6 col13\" >3.58</td>\n",
- " <td id=\"T_f6db2_row6_col14\" class=\"data row6 col14\" >0.98</td>\n",
- " <td id=\"T_f6db2_row6_col15\" class=\"data row6 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_f6db2_row7_col0\" class=\"data row7 col0\" >96.30</td>\n",
- " <td id=\"T_f6db2_row7_col1\" class=\"data row7 col1\" >1.86</td>\n",
- " <td id=\"T_f6db2_row7_col2\" class=\"data row7 col2\" >95.80</td>\n",
- " <td id=\"T_f6db2_row7_col3\" class=\"data row7 col3\" >2.38</td>\n",
- " <td id=\"T_f6db2_row7_col4\" class=\"data row7 col4\" >93.45</td>\n",
- " <td id=\"T_f6db2_row7_col5\" class=\"data row7 col5\" >1.40</td>\n",
- " <td id=\"T_f6db2_row7_col6\" class=\"data row7 col6\" >97.74</td>\n",
- " <td id=\"T_f6db2_row7_col7\" class=\"data row7 col7\" >1.76</td>\n",
- " <td id=\"T_f6db2_row7_col8\" class=\"data row7 col8\" >1.46</td>\n",
- " <td id=\"T_f6db2_row7_col9\" class=\"data row7 col9\" >0.07</td>\n",
- " <td id=\"T_f6db2_row7_col10\" class=\"data row7 col10\" >53.18</td>\n",
- " <td id=\"T_f6db2_row7_col11\" class=\"data row7 col11\" >4.27</td>\n",
- " <td id=\"T_f6db2_row7_col12\" class=\"data row7 col12\" >33.32</td>\n",
- " <td id=\"T_f6db2_row7_col13\" class=\"data row7 col13\" >3.69</td>\n",
- " <td id=\"T_f6db2_row7_col14\" class=\"data row7 col14\" >0.96</td>\n",
- " <td id=\"T_f6db2_row7_col15\" class=\"data row7 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_f6db2_row8_col0\" class=\"data row8 col0\" >96.30</td>\n",
- " <td id=\"T_f6db2_row8_col1\" class=\"data row8 col1\" >1.95</td>\n",
- " <td id=\"T_f6db2_row8_col2\" class=\"data row8 col2\" >95.48</td>\n",
- " <td id=\"T_f6db2_row8_col3\" class=\"data row8 col3\" >2.27</td>\n",
- " <td id=\"T_f6db2_row8_col4\" class=\"data row8 col4\" >93.34</td>\n",
- " <td id=\"T_f6db2_row8_col5\" class=\"data row8 col5\" >1.61</td>\n",
- " <td id=\"T_f6db2_row8_col6\" class=\"data row8 col6\" >97.85</td>\n",
- " <td id=\"T_f6db2_row8_col7\" class=\"data row8 col7\" >1.88</td>\n",
- " <td id=\"T_f6db2_row8_col8\" class=\"data row8 col8\" >1.52</td>\n",
- " <td id=\"T_f6db2_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row8_col10\" class=\"data row8 col10\" >49.18</td>\n",
- " <td id=\"T_f6db2_row8_col11\" class=\"data row8 col11\" >4.90</td>\n",
- " <td id=\"T_f6db2_row8_col12\" class=\"data row8 col12\" >33.98</td>\n",
- " <td id=\"T_f6db2_row8_col13\" class=\"data row8 col13\" >3.59</td>\n",
- " <td id=\"T_f6db2_row8_col14\" class=\"data row8 col14\" >0.89</td>\n",
- " <td id=\"T_f6db2_row8_col15\" class=\"data row8 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_f6db2_row9_col0\" class=\"data row9 col0\" >96.14</td>\n",
- " <td id=\"T_f6db2_row9_col1\" class=\"data row9 col1\" >1.93</td>\n",
- " <td id=\"T_f6db2_row9_col2\" class=\"data row9 col2\" >95.50</td>\n",
- " <td id=\"T_f6db2_row9_col3\" class=\"data row9 col3\" >2.49</td>\n",
- " <td id=\"T_f6db2_row9_col4\" class=\"data row9 col4\" >93.36</td>\n",
- " <td id=\"T_f6db2_row9_col5\" class=\"data row9 col5\" >1.60</td>\n",
- " <td id=\"T_f6db2_row9_col6\" class=\"data row9 col6\" >97.75</td>\n",
- " <td id=\"T_f6db2_row9_col7\" class=\"data row9 col7\" >1.77</td>\n",
- " <td id=\"T_f6db2_row9_col8\" class=\"data row9 col8\" >1.48</td>\n",
- " <td id=\"T_f6db2_row9_col9\" class=\"data row9 col9\" >0.07</td>\n",
- " <td id=\"T_f6db2_row9_col10\" class=\"data row9 col10\" >48.35</td>\n",
- " <td id=\"T_f6db2_row9_col11\" class=\"data row9 col11\" >4.64</td>\n",
- " <td id=\"T_f6db2_row9_col12\" class=\"data row9 col12\" >33.54</td>\n",
- " <td id=\"T_f6db2_row9_col13\" class=\"data row9 col13\" >3.58</td>\n",
- " <td id=\"T_f6db2_row9_col14\" class=\"data row9 col14\" >0.87</td>\n",
- " <td id=\"T_f6db2_row9_col15\" class=\"data row9 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_f6db2_row10_col0\" class=\"data row10 col0\" >96.36</td>\n",
- " <td id=\"T_f6db2_row10_col1\" class=\"data row10 col1\" >1.96</td>\n",
- " <td id=\"T_f6db2_row10_col2\" class=\"data row10 col2\" >95.48</td>\n",
- " <td id=\"T_f6db2_row10_col3\" class=\"data row10 col3\" >2.34</td>\n",
- " <td id=\"T_f6db2_row10_col4\" class=\"data row10 col4\" >93.04</td>\n",
- " <td id=\"T_f6db2_row10_col5\" class=\"data row10 col5\" >1.68</td>\n",
- " <td id=\"T_f6db2_row10_col6\" class=\"data row10 col6\" >98.04</td>\n",
- " <td id=\"T_f6db2_row10_col7\" class=\"data row10 col7\" >1.44</td>\n",
- " <td id=\"T_f6db2_row10_col8\" class=\"data row10 col8\" >1.50</td>\n",
- " <td id=\"T_f6db2_row10_col9\" class=\"data row10 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row10_col10\" class=\"data row10 col10\" >48.21</td>\n",
- " <td id=\"T_f6db2_row10_col11\" class=\"data row10 col11\" >4.87</td>\n",
- " <td id=\"T_f6db2_row10_col12\" class=\"data row10 col12\" >33.76</td>\n",
- " <td id=\"T_f6db2_row10_col13\" class=\"data row10 col13\" >3.51</td>\n",
- " <td id=\"T_f6db2_row10_col14\" class=\"data row10 col14\" >0.87</td>\n",
- " <td id=\"T_f6db2_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_f6db2_row11_col0\" class=\"data row11 col0\" >96.28</td>\n",
- " <td id=\"T_f6db2_row11_col1\" class=\"data row11 col1\" >1.88</td>\n",
- " <td id=\"T_f6db2_row11_col2\" class=\"data row11 col2\" >95.43</td>\n",
- " <td id=\"T_f6db2_row11_col3\" class=\"data row11 col3\" >2.34</td>\n",
- " <td id=\"T_f6db2_row11_col4\" class=\"data row11 col4\" >95.23</td>\n",
- " <td id=\"T_f6db2_row11_col5\" class=\"data row11 col5\" >1.52</td>\n",
- " <td id=\"T_f6db2_row11_col6\" class=\"data row11 col6\" >99.01</td>\n",
- " <td id=\"T_f6db2_row11_col7\" class=\"data row11 col7\" >1.21</td>\n",
- " <td id=\"T_f6db2_row11_col8\" class=\"data row11 col8\" >1.38</td>\n",
- " <td id=\"T_f6db2_row11_col9\" class=\"data row11 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row11_col10\" class=\"data row11 col10\" >25.37</td>\n",
- " <td id=\"T_f6db2_row11_col11\" class=\"data row11 col11\" >3.69</td>\n",
- " <td id=\"T_f6db2_row11_col12\" class=\"data row11 col12\" >33.17</td>\n",
- " <td id=\"T_f6db2_row11_col13\" class=\"data row11 col13\" >3.53</td>\n",
- " <td id=\"T_f6db2_row11_col14\" class=\"data row11 col14\" >0.46</td>\n",
- " <td id=\"T_f6db2_row11_col15\" class=\"data row11 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_f6db2_row12_col0\" class=\"data row12 col0\" >96.19</td>\n",
- " <td id=\"T_f6db2_row12_col1\" class=\"data row12 col1\" >2.07</td>\n",
- " <td id=\"T_f6db2_row12_col2\" class=\"data row12 col2\" >95.58</td>\n",
- " <td id=\"T_f6db2_row12_col3\" class=\"data row12 col3\" >2.38</td>\n",
- " <td id=\"T_f6db2_row12_col4\" class=\"data row12 col4\" >95.03</td>\n",
- " <td id=\"T_f6db2_row12_col5\" class=\"data row12 col5\" >1.60</td>\n",
- " <td id=\"T_f6db2_row12_col6\" class=\"data row12 col6\" >98.90</td>\n",
- " <td id=\"T_f6db2_row12_col7\" class=\"data row12 col7\" >1.25</td>\n",
- " <td id=\"T_f6db2_row12_col8\" class=\"data row12 col8\" >1.36</td>\n",
- " <td id=\"T_f6db2_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row12_col10\" class=\"data row12 col10\" >26.24</td>\n",
- " <td id=\"T_f6db2_row12_col11\" class=\"data row12 col11\" >3.55</td>\n",
- " <td id=\"T_f6db2_row12_col12\" class=\"data row12 col12\" >32.81</td>\n",
- " <td id=\"T_f6db2_row12_col13\" class=\"data row12 col13\" >3.58</td>\n",
- " <td id=\"T_f6db2_row12_col14\" class=\"data row12 col14\" >0.47</td>\n",
- " <td id=\"T_f6db2_row12_col15\" class=\"data row12 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_f6db2_row13_col0\" class=\"data row13 col0\" >96.40</td>\n",
- " <td id=\"T_f6db2_row13_col1\" class=\"data row13 col1\" >1.92</td>\n",
- " <td id=\"T_f6db2_row13_col2\" class=\"data row13 col2\" >95.74</td>\n",
- " <td id=\"T_f6db2_row13_col3\" class=\"data row13 col3\" >2.30</td>\n",
- " <td id=\"T_f6db2_row13_col4\" class=\"data row13 col4\" >95.09</td>\n",
- " <td id=\"T_f6db2_row13_col5\" class=\"data row13 col5\" >1.50</td>\n",
- " <td id=\"T_f6db2_row13_col6\" class=\"data row13 col6\" >98.75</td>\n",
- " <td id=\"T_f6db2_row13_col7\" class=\"data row13 col7\" >1.35</td>\n",
- " <td id=\"T_f6db2_row13_col8\" class=\"data row13 col8\" >1.35</td>\n",
- " <td id=\"T_f6db2_row13_col9\" class=\"data row13 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row13_col10\" class=\"data row13 col10\" >25.31</td>\n",
- " <td id=\"T_f6db2_row13_col11\" class=\"data row13 col11\" >3.92</td>\n",
- " <td id=\"T_f6db2_row13_col12\" class=\"data row13 col12\" >32.86</td>\n",
- " <td id=\"T_f6db2_row13_col13\" class=\"data row13 col13\" >3.57</td>\n",
- " <td id=\"T_f6db2_row13_col14\" class=\"data row13 col14\" >0.46</td>\n",
- " <td id=\"T_f6db2_row13_col15\" class=\"data row13 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_f6db2_row14_col0\" class=\"data row14 col0\" >96.22</td>\n",
- " <td id=\"T_f6db2_row14_col1\" class=\"data row14 col1\" >1.95</td>\n",
- " <td id=\"T_f6db2_row14_col2\" class=\"data row14 col2\" >95.37</td>\n",
- " <td id=\"T_f6db2_row14_col3\" class=\"data row14 col3\" >2.14</td>\n",
- " <td id=\"T_f6db2_row14_col4\" class=\"data row14 col4\" >95.00</td>\n",
- " <td id=\"T_f6db2_row14_col5\" class=\"data row14 col5\" >1.43</td>\n",
- " <td id=\"T_f6db2_row14_col6\" class=\"data row14 col6\" >98.98</td>\n",
- " <td id=\"T_f6db2_row14_col7\" class=\"data row14 col7\" >1.24</td>\n",
- " <td id=\"T_f6db2_row14_col8\" class=\"data row14 col8\" >1.36</td>\n",
- " <td id=\"T_f6db2_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
- " <td id=\"T_f6db2_row14_col10\" class=\"data row14 col10\" >22.20</td>\n",
- " <td id=\"T_f6db2_row14_col11\" class=\"data row14 col11\" >3.82</td>\n",
- " <td id=\"T_f6db2_row14_col12\" class=\"data row14 col12\" >33.45</td>\n",
- " <td id=\"T_f6db2_row14_col13\" class=\"data row14 col13\" >3.48</td>\n",
- " <td id=\"T_f6db2_row14_col14\" class=\"data row14 col14\" >0.40</td>\n",
- " <td id=\"T_f6db2_row14_col15\" class=\"data row14 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f6db2_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_f6db2_row15_col0\" class=\"data row15 col0\" >96.24</td>\n",
- " <td id=\"T_f6db2_row15_col1\" class=\"data row15 col1\" >1.89</td>\n",
- " <td id=\"T_f6db2_row15_col2\" class=\"data row15 col2\" >95.48</td>\n",
- " <td id=\"T_f6db2_row15_col3\" class=\"data row15 col3\" >2.35</td>\n",
- " <td id=\"T_f6db2_row15_col4\" class=\"data row15 col4\" >96.90</td>\n",
- " <td id=\"T_f6db2_row15_col5\" class=\"data row15 col5\" >1.43</td>\n",
- " <td id=\"T_f6db2_row15_col6\" class=\"data row15 col6\" >99.59</td>\n",
- " <td id=\"T_f6db2_row15_col7\" class=\"data row15 col7\" >0.85</td>\n",
- " <td id=\"T_f6db2_row15_col8\" class=\"data row15 col8\" >1.24</td>\n",
- " <td id=\"T_f6db2_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
- " <td id=\"T_f6db2_row15_col10\" class=\"data row15 col10\" >8.71</td>\n",
- " <td id=\"T_f6db2_row15_col11\" class=\"data row15 col11\" >2.07</td>\n",
- " <td id=\"T_f6db2_row15_col12\" class=\"data row15 col12\" >32.50</td>\n",
- " <td id=\"T_f6db2_row15_col13\" class=\"data row15 col13\" >3.48</td>\n",
- " <td id=\"T_f6db2_row15_col14\" class=\"data row15 col14\" >0.16</td>\n",
- " <td id=\"T_f6db2_row15_col15\" class=\"data row15 col15\" >0.04</td>\n",
+ " <th id=\"T_b746f_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_b746f_row0_col0\" class=\"data row0 col0\" >96.24</td>\n",
+ " <td id=\"T_b746f_row0_col1\" class=\"data row0 col1\" >1.89</td>\n",
+ " <td id=\"T_b746f_row0_col2\" class=\"data row0 col2\" >95.48</td>\n",
+ " <td id=\"T_b746f_row0_col3\" class=\"data row0 col3\" >2.35</td>\n",
+ " <td id=\"T_b746f_row0_col4\" class=\"data row0 col4\" >96.90</td>\n",
+ " <td id=\"T_b746f_row0_col5\" class=\"data row0 col5\" >1.43</td>\n",
+ " <td id=\"T_b746f_row0_col6\" class=\"data row0 col6\" >99.59</td>\n",
+ " <td id=\"T_b746f_row0_col7\" class=\"data row0 col7\" >0.85</td>\n",
+ " <td id=\"T_b746f_row0_col8\" class=\"data row0 col8\" >1.24</td>\n",
+ " <td id=\"T_b746f_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
+ " <td id=\"T_b746f_row0_col10\" class=\"data row0 col10\" >90.77</td>\n",
+ " <td id=\"T_b746f_row0_col11\" class=\"data row0 col11\" >3.20</td>\n",
+ " <td id=\"T_b746f_row0_col12\" class=\"data row0 col12\" >32.50</td>\n",
+ " <td id=\"T_b746f_row0_col13\" class=\"data row0 col13\" >3.48</td>\n",
+ " <td id=\"T_b746f_row0_col14\" class=\"data row0 col14\" >1.64</td>\n",
+ " <td id=\"T_b746f_row0_col15\" class=\"data row0 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_b746f_row1_col0\" class=\"data row1 col0\" >96.34</td>\n",
+ " <td id=\"T_b746f_row1_col1\" class=\"data row1 col1\" >1.90</td>\n",
+ " <td id=\"T_b746f_row1_col2\" class=\"data row1 col2\" >95.68</td>\n",
+ " <td id=\"T_b746f_row1_col3\" class=\"data row1 col3\" >2.50</td>\n",
+ " <td id=\"T_b746f_row1_col4\" class=\"data row1 col4\" >93.33</td>\n",
+ " <td id=\"T_b746f_row1_col5\" class=\"data row1 col5\" >1.48</td>\n",
+ " <td id=\"T_b746f_row1_col6\" class=\"data row1 col6\" >97.04</td>\n",
+ " <td id=\"T_b746f_row1_col7\" class=\"data row1 col7\" >1.97</td>\n",
+ " <td id=\"T_b746f_row1_col8\" class=\"data row1 col8\" >1.50</td>\n",
+ " <td id=\"T_b746f_row1_col9\" class=\"data row1 col9\" >0.08</td>\n",
+ " <td id=\"T_b746f_row1_col10\" class=\"data row1 col10\" >86.15</td>\n",
+ " <td id=\"T_b746f_row1_col11\" class=\"data row1 col11\" >3.33</td>\n",
+ " <td id=\"T_b746f_row1_col12\" class=\"data row1 col12\" >33.70</td>\n",
+ " <td id=\"T_b746f_row1_col13\" class=\"data row1 col13\" >3.52</td>\n",
+ " <td id=\"T_b746f_row1_col14\" class=\"data row1 col14\" >1.56</td>\n",
+ " <td id=\"T_b746f_row1_col15\" class=\"data row1 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_b746f_row2_col0\" class=\"data row2 col0\" >96.25</td>\n",
+ " <td id=\"T_b746f_row2_col1\" class=\"data row2 col1\" >2.07</td>\n",
+ " <td id=\"T_b746f_row2_col2\" class=\"data row2 col2\" >95.62</td>\n",
+ " <td id=\"T_b746f_row2_col3\" class=\"data row2 col3\" >2.40</td>\n",
+ " <td id=\"T_b746f_row2_col4\" class=\"data row2 col4\" >92.77</td>\n",
+ " <td id=\"T_b746f_row2_col5\" class=\"data row2 col5\" >1.73</td>\n",
+ " <td id=\"T_b746f_row2_col6\" class=\"data row2 col6\" >95.78</td>\n",
+ " <td id=\"T_b746f_row2_col7\" class=\"data row2 col7\" >2.13</td>\n",
+ " <td id=\"T_b746f_row2_col8\" class=\"data row2 col8\" >1.57</td>\n",
+ " <td id=\"T_b746f_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_b746f_row2_col10\" class=\"data row2 col10\" >85.48</td>\n",
+ " <td id=\"T_b746f_row2_col11\" class=\"data row2 col11\" >3.36</td>\n",
+ " <td id=\"T_b746f_row2_col12\" class=\"data row2 col12\" >34.03</td>\n",
+ " <td id=\"T_b746f_row2_col13\" class=\"data row2 col13\" >3.62</td>\n",
+ " <td id=\"T_b746f_row2_col14\" class=\"data row2 col14\" >1.55</td>\n",
+ " <td id=\"T_b746f_row2_col15\" class=\"data row2 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_b746f_row3_col0\" class=\"data row3 col0\" >96.32</td>\n",
+ " <td id=\"T_b746f_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
+ " <td id=\"T_b746f_row3_col2\" class=\"data row3 col2\" >95.65</td>\n",
+ " <td id=\"T_b746f_row3_col3\" class=\"data row3 col3\" >2.47</td>\n",
+ " <td id=\"T_b746f_row3_col4\" class=\"data row3 col4\" >92.53</td>\n",
+ " <td id=\"T_b746f_row3_col5\" class=\"data row3 col5\" >1.65</td>\n",
+ " <td id=\"T_b746f_row3_col6\" class=\"data row3 col6\" >95.99</td>\n",
+ " <td id=\"T_b746f_row3_col7\" class=\"data row3 col7\" >2.41</td>\n",
+ " <td id=\"T_b746f_row3_col8\" class=\"data row3 col8\" >1.59</td>\n",
+ " <td id=\"T_b746f_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_b746f_row3_col10\" class=\"data row3 col10\" >85.13</td>\n",
+ " <td id=\"T_b746f_row3_col11\" class=\"data row3 col11\" >3.41</td>\n",
+ " <td id=\"T_b746f_row3_col12\" class=\"data row3 col12\" >34.01</td>\n",
+ " <td id=\"T_b746f_row3_col13\" class=\"data row3 col13\" >3.47</td>\n",
+ " <td id=\"T_b746f_row3_col14\" class=\"data row3 col14\" >1.54</td>\n",
+ " <td id=\"T_b746f_row3_col15\" class=\"data row3 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_b746f_row4_col0\" class=\"data row4 col0\" >96.26</td>\n",
+ " <td id=\"T_b746f_row4_col1\" class=\"data row4 col1\" >1.92</td>\n",
+ " <td id=\"T_b746f_row4_col2\" class=\"data row4 col2\" >95.59</td>\n",
+ " <td id=\"T_b746f_row4_col3\" class=\"data row4 col3\" >2.39</td>\n",
+ " <td id=\"T_b746f_row4_col4\" class=\"data row4 col4\" >92.58</td>\n",
+ " <td id=\"T_b746f_row4_col5\" class=\"data row4 col5\" >1.63</td>\n",
+ " <td id=\"T_b746f_row4_col6\" class=\"data row4 col6\" >96.13</td>\n",
+ " <td id=\"T_b746f_row4_col7\" class=\"data row4 col7\" >1.97</td>\n",
+ " <td id=\"T_b746f_row4_col8\" class=\"data row4 col8\" >1.56</td>\n",
+ " <td id=\"T_b746f_row4_col9\" class=\"data row4 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row4_col10\" class=\"data row4 col10\" >85.19</td>\n",
+ " <td id=\"T_b746f_row4_col11\" class=\"data row4 col11\" >3.32</td>\n",
+ " <td id=\"T_b746f_row4_col12\" class=\"data row4 col12\" >33.53</td>\n",
+ " <td id=\"T_b746f_row4_col13\" class=\"data row4 col13\" >3.58</td>\n",
+ " <td id=\"T_b746f_row4_col14\" class=\"data row4 col14\" >1.54</td>\n",
+ " <td id=\"T_b746f_row4_col15\" class=\"data row4 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_b746f_row5_col0\" class=\"data row5 col0\" >96.17</td>\n",
+ " <td id=\"T_b746f_row5_col1\" class=\"data row5 col1\" >1.92</td>\n",
+ " <td id=\"T_b746f_row5_col2\" class=\"data row5 col2\" >95.67</td>\n",
+ " <td id=\"T_b746f_row5_col3\" class=\"data row5 col3\" >2.19</td>\n",
+ " <td id=\"T_b746f_row5_col4\" class=\"data row5 col4\" >93.40</td>\n",
+ " <td id=\"T_b746f_row5_col5\" class=\"data row5 col5\" >1.62</td>\n",
+ " <td id=\"T_b746f_row5_col6\" class=\"data row5 col6\" >97.62</td>\n",
+ " <td id=\"T_b746f_row5_col7\" class=\"data row5 col7\" >1.85</td>\n",
+ " <td id=\"T_b746f_row5_col8\" class=\"data row5 col8\" >1.50</td>\n",
+ " <td id=\"T_b746f_row5_col9\" class=\"data row5 col9\" >0.07</td>\n",
+ " <td id=\"T_b746f_row5_col10\" class=\"data row5 col10\" >54.31</td>\n",
+ " <td id=\"T_b746f_row5_col11\" class=\"data row5 col11\" >4.35</td>\n",
+ " <td id=\"T_b746f_row5_col12\" class=\"data row5 col12\" >33.87</td>\n",
+ " <td id=\"T_b746f_row5_col13\" class=\"data row5 col13\" >3.50</td>\n",
+ " <td id=\"T_b746f_row5_col14\" class=\"data row5 col14\" >0.98</td>\n",
+ " <td id=\"T_b746f_row5_col15\" class=\"data row5 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_b746f_row6_col0\" class=\"data row6 col0\" >96.36</td>\n",
+ " <td id=\"T_b746f_row6_col1\" class=\"data row6 col1\" >1.89</td>\n",
+ " <td id=\"T_b746f_row6_col2\" class=\"data row6 col2\" >95.79</td>\n",
+ " <td id=\"T_b746f_row6_col3\" class=\"data row6 col3\" >2.38</td>\n",
+ " <td id=\"T_b746f_row6_col4\" class=\"data row6 col4\" >93.47</td>\n",
+ " <td id=\"T_b746f_row6_col5\" class=\"data row6 col5\" >1.50</td>\n",
+ " <td id=\"T_b746f_row6_col6\" class=\"data row6 col6\" >98.04</td>\n",
+ " <td id=\"T_b746f_row6_col7\" class=\"data row6 col7\" >1.46</td>\n",
+ " <td id=\"T_b746f_row6_col8\" class=\"data row6 col8\" >1.50</td>\n",
+ " <td id=\"T_b746f_row6_col9\" class=\"data row6 col9\" >0.07</td>\n",
+ " <td id=\"T_b746f_row6_col10\" class=\"data row6 col10\" >54.27</td>\n",
+ " <td id=\"T_b746f_row6_col11\" class=\"data row6 col11\" >4.46</td>\n",
+ " <td id=\"T_b746f_row6_col12\" class=\"data row6 col12\" >33.80</td>\n",
+ " <td id=\"T_b746f_row6_col13\" class=\"data row6 col13\" >3.58</td>\n",
+ " <td id=\"T_b746f_row6_col14\" class=\"data row6 col14\" >0.98</td>\n",
+ " <td id=\"T_b746f_row6_col15\" class=\"data row6 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_b746f_row7_col0\" class=\"data row7 col0\" >96.30</td>\n",
+ " <td id=\"T_b746f_row7_col1\" class=\"data row7 col1\" >1.86</td>\n",
+ " <td id=\"T_b746f_row7_col2\" class=\"data row7 col2\" >95.80</td>\n",
+ " <td id=\"T_b746f_row7_col3\" class=\"data row7 col3\" >2.38</td>\n",
+ " <td id=\"T_b746f_row7_col4\" class=\"data row7 col4\" >93.45</td>\n",
+ " <td id=\"T_b746f_row7_col5\" class=\"data row7 col5\" >1.40</td>\n",
+ " <td id=\"T_b746f_row7_col6\" class=\"data row7 col6\" >97.74</td>\n",
+ " <td id=\"T_b746f_row7_col7\" class=\"data row7 col7\" >1.76</td>\n",
+ " <td id=\"T_b746f_row7_col8\" class=\"data row7 col8\" >1.46</td>\n",
+ " <td id=\"T_b746f_row7_col9\" class=\"data row7 col9\" >0.07</td>\n",
+ " <td id=\"T_b746f_row7_col10\" class=\"data row7 col10\" >53.18</td>\n",
+ " <td id=\"T_b746f_row7_col11\" class=\"data row7 col11\" >4.27</td>\n",
+ " <td id=\"T_b746f_row7_col12\" class=\"data row7 col12\" >33.32</td>\n",
+ " <td id=\"T_b746f_row7_col13\" class=\"data row7 col13\" >3.69</td>\n",
+ " <td id=\"T_b746f_row7_col14\" class=\"data row7 col14\" >0.96</td>\n",
+ " <td id=\"T_b746f_row7_col15\" class=\"data row7 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_b746f_row8_col0\" class=\"data row8 col0\" >96.30</td>\n",
+ " <td id=\"T_b746f_row8_col1\" class=\"data row8 col1\" >1.95</td>\n",
+ " <td id=\"T_b746f_row8_col2\" class=\"data row8 col2\" >95.48</td>\n",
+ " <td id=\"T_b746f_row8_col3\" class=\"data row8 col3\" >2.27</td>\n",
+ " <td id=\"T_b746f_row8_col4\" class=\"data row8 col4\" >93.34</td>\n",
+ " <td id=\"T_b746f_row8_col5\" class=\"data row8 col5\" >1.61</td>\n",
+ " <td id=\"T_b746f_row8_col6\" class=\"data row8 col6\" >97.85</td>\n",
+ " <td id=\"T_b746f_row8_col7\" class=\"data row8 col7\" >1.88</td>\n",
+ " <td id=\"T_b746f_row8_col8\" class=\"data row8 col8\" >1.52</td>\n",
+ " <td id=\"T_b746f_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row8_col10\" class=\"data row8 col10\" >49.18</td>\n",
+ " <td id=\"T_b746f_row8_col11\" class=\"data row8 col11\" >4.90</td>\n",
+ " <td id=\"T_b746f_row8_col12\" class=\"data row8 col12\" >33.98</td>\n",
+ " <td id=\"T_b746f_row8_col13\" class=\"data row8 col13\" >3.59</td>\n",
+ " <td id=\"T_b746f_row8_col14\" class=\"data row8 col14\" >0.89</td>\n",
+ " <td id=\"T_b746f_row8_col15\" class=\"data row8 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_b746f_row9_col0\" class=\"data row9 col0\" >96.14</td>\n",
+ " <td id=\"T_b746f_row9_col1\" class=\"data row9 col1\" >1.93</td>\n",
+ " <td id=\"T_b746f_row9_col2\" class=\"data row9 col2\" >95.50</td>\n",
+ " <td id=\"T_b746f_row9_col3\" class=\"data row9 col3\" >2.49</td>\n",
+ " <td id=\"T_b746f_row9_col4\" class=\"data row9 col4\" >93.36</td>\n",
+ " <td id=\"T_b746f_row9_col5\" class=\"data row9 col5\" >1.60</td>\n",
+ " <td id=\"T_b746f_row9_col6\" class=\"data row9 col6\" >97.75</td>\n",
+ " <td id=\"T_b746f_row9_col7\" class=\"data row9 col7\" >1.77</td>\n",
+ " <td id=\"T_b746f_row9_col8\" class=\"data row9 col8\" >1.48</td>\n",
+ " <td id=\"T_b746f_row9_col9\" class=\"data row9 col9\" >0.07</td>\n",
+ " <td id=\"T_b746f_row9_col10\" class=\"data row9 col10\" >48.35</td>\n",
+ " <td id=\"T_b746f_row9_col11\" class=\"data row9 col11\" >4.64</td>\n",
+ " <td id=\"T_b746f_row9_col12\" class=\"data row9 col12\" >33.54</td>\n",
+ " <td id=\"T_b746f_row9_col13\" class=\"data row9 col13\" >3.58</td>\n",
+ " <td id=\"T_b746f_row9_col14\" class=\"data row9 col14\" >0.87</td>\n",
+ " <td id=\"T_b746f_row9_col15\" class=\"data row9 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_b746f_row10_col0\" class=\"data row10 col0\" >96.36</td>\n",
+ " <td id=\"T_b746f_row10_col1\" class=\"data row10 col1\" >1.96</td>\n",
+ " <td id=\"T_b746f_row10_col2\" class=\"data row10 col2\" >95.48</td>\n",
+ " <td id=\"T_b746f_row10_col3\" class=\"data row10 col3\" >2.34</td>\n",
+ " <td id=\"T_b746f_row10_col4\" class=\"data row10 col4\" >93.04</td>\n",
+ " <td id=\"T_b746f_row10_col5\" class=\"data row10 col5\" >1.68</td>\n",
+ " <td id=\"T_b746f_row10_col6\" class=\"data row10 col6\" >98.04</td>\n",
+ " <td id=\"T_b746f_row10_col7\" class=\"data row10 col7\" >1.44</td>\n",
+ " <td id=\"T_b746f_row10_col8\" class=\"data row10 col8\" >1.50</td>\n",
+ " <td id=\"T_b746f_row10_col9\" class=\"data row10 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row10_col10\" class=\"data row10 col10\" >48.21</td>\n",
+ " <td id=\"T_b746f_row10_col11\" class=\"data row10 col11\" >4.87</td>\n",
+ " <td id=\"T_b746f_row10_col12\" class=\"data row10 col12\" >33.76</td>\n",
+ " <td id=\"T_b746f_row10_col13\" class=\"data row10 col13\" >3.51</td>\n",
+ " <td id=\"T_b746f_row10_col14\" class=\"data row10 col14\" >0.87</td>\n",
+ " <td id=\"T_b746f_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_b746f_row11_col0\" class=\"data row11 col0\" >96.28</td>\n",
+ " <td id=\"T_b746f_row11_col1\" class=\"data row11 col1\" >1.88</td>\n",
+ " <td id=\"T_b746f_row11_col2\" class=\"data row11 col2\" >95.43</td>\n",
+ " <td id=\"T_b746f_row11_col3\" class=\"data row11 col3\" >2.34</td>\n",
+ " <td id=\"T_b746f_row11_col4\" class=\"data row11 col4\" >95.23</td>\n",
+ " <td id=\"T_b746f_row11_col5\" class=\"data row11 col5\" >1.52</td>\n",
+ " <td id=\"T_b746f_row11_col6\" class=\"data row11 col6\" >99.01</td>\n",
+ " <td id=\"T_b746f_row11_col7\" class=\"data row11 col7\" >1.21</td>\n",
+ " <td id=\"T_b746f_row11_col8\" class=\"data row11 col8\" >1.38</td>\n",
+ " <td id=\"T_b746f_row11_col9\" class=\"data row11 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row11_col10\" class=\"data row11 col10\" >25.37</td>\n",
+ " <td id=\"T_b746f_row11_col11\" class=\"data row11 col11\" >3.69</td>\n",
+ " <td id=\"T_b746f_row11_col12\" class=\"data row11 col12\" >33.17</td>\n",
+ " <td id=\"T_b746f_row11_col13\" class=\"data row11 col13\" >3.53</td>\n",
+ " <td id=\"T_b746f_row11_col14\" class=\"data row11 col14\" >0.46</td>\n",
+ " <td id=\"T_b746f_row11_col15\" class=\"data row11 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_b746f_row12_col0\" class=\"data row12 col0\" >96.19</td>\n",
+ " <td id=\"T_b746f_row12_col1\" class=\"data row12 col1\" >2.07</td>\n",
+ " <td id=\"T_b746f_row12_col2\" class=\"data row12 col2\" >95.58</td>\n",
+ " <td id=\"T_b746f_row12_col3\" class=\"data row12 col3\" >2.38</td>\n",
+ " <td id=\"T_b746f_row12_col4\" class=\"data row12 col4\" >95.03</td>\n",
+ " <td id=\"T_b746f_row12_col5\" class=\"data row12 col5\" >1.60</td>\n",
+ " <td id=\"T_b746f_row12_col6\" class=\"data row12 col6\" >98.90</td>\n",
+ " <td id=\"T_b746f_row12_col7\" class=\"data row12 col7\" >1.25</td>\n",
+ " <td id=\"T_b746f_row12_col8\" class=\"data row12 col8\" >1.36</td>\n",
+ " <td id=\"T_b746f_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row12_col10\" class=\"data row12 col10\" >26.24</td>\n",
+ " <td id=\"T_b746f_row12_col11\" class=\"data row12 col11\" >3.55</td>\n",
+ " <td id=\"T_b746f_row12_col12\" class=\"data row12 col12\" >32.81</td>\n",
+ " <td id=\"T_b746f_row12_col13\" class=\"data row12 col13\" >3.58</td>\n",
+ " <td id=\"T_b746f_row12_col14\" class=\"data row12 col14\" >0.47</td>\n",
+ " <td id=\"T_b746f_row12_col15\" class=\"data row12 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_b746f_row13_col0\" class=\"data row13 col0\" >96.40</td>\n",
+ " <td id=\"T_b746f_row13_col1\" class=\"data row13 col1\" >1.92</td>\n",
+ " <td id=\"T_b746f_row13_col2\" class=\"data row13 col2\" >95.74</td>\n",
+ " <td id=\"T_b746f_row13_col3\" class=\"data row13 col3\" >2.30</td>\n",
+ " <td id=\"T_b746f_row13_col4\" class=\"data row13 col4\" >95.09</td>\n",
+ " <td id=\"T_b746f_row13_col5\" class=\"data row13 col5\" >1.50</td>\n",
+ " <td id=\"T_b746f_row13_col6\" class=\"data row13 col6\" >98.75</td>\n",
+ " <td id=\"T_b746f_row13_col7\" class=\"data row13 col7\" >1.35</td>\n",
+ " <td id=\"T_b746f_row13_col8\" class=\"data row13 col8\" >1.35</td>\n",
+ " <td id=\"T_b746f_row13_col9\" class=\"data row13 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row13_col10\" class=\"data row13 col10\" >25.31</td>\n",
+ " <td id=\"T_b746f_row13_col11\" class=\"data row13 col11\" >3.92</td>\n",
+ " <td id=\"T_b746f_row13_col12\" class=\"data row13 col12\" >32.86</td>\n",
+ " <td id=\"T_b746f_row13_col13\" class=\"data row13 col13\" >3.57</td>\n",
+ " <td id=\"T_b746f_row13_col14\" class=\"data row13 col14\" >0.46</td>\n",
+ " <td id=\"T_b746f_row13_col15\" class=\"data row13 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_b746f_row14_col0\" class=\"data row14 col0\" >96.22</td>\n",
+ " <td id=\"T_b746f_row14_col1\" class=\"data row14 col1\" >1.95</td>\n",
+ " <td id=\"T_b746f_row14_col2\" class=\"data row14 col2\" >95.37</td>\n",
+ " <td id=\"T_b746f_row14_col3\" class=\"data row14 col3\" >2.14</td>\n",
+ " <td id=\"T_b746f_row14_col4\" class=\"data row14 col4\" >95.00</td>\n",
+ " <td id=\"T_b746f_row14_col5\" class=\"data row14 col5\" >1.43</td>\n",
+ " <td id=\"T_b746f_row14_col6\" class=\"data row14 col6\" >98.98</td>\n",
+ " <td id=\"T_b746f_row14_col7\" class=\"data row14 col7\" >1.24</td>\n",
+ " <td id=\"T_b746f_row14_col8\" class=\"data row14 col8\" >1.36</td>\n",
+ " <td id=\"T_b746f_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
+ " <td id=\"T_b746f_row14_col10\" class=\"data row14 col10\" >22.20</td>\n",
+ " <td id=\"T_b746f_row14_col11\" class=\"data row14 col11\" >3.82</td>\n",
+ " <td id=\"T_b746f_row14_col12\" class=\"data row14 col12\" >33.45</td>\n",
+ " <td id=\"T_b746f_row14_col13\" class=\"data row14 col13\" >3.48</td>\n",
+ " <td id=\"T_b746f_row14_col14\" class=\"data row14 col14\" >0.40</td>\n",
+ " <td id=\"T_b746f_row14_col15\" class=\"data row14 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b746f_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_b746f_row15_col0\" class=\"data row15 col0\" >96.24</td>\n",
+ " <td id=\"T_b746f_row15_col1\" class=\"data row15 col1\" >1.89</td>\n",
+ " <td id=\"T_b746f_row15_col2\" class=\"data row15 col2\" >95.48</td>\n",
+ " <td id=\"T_b746f_row15_col3\" class=\"data row15 col3\" >2.35</td>\n",
+ " <td id=\"T_b746f_row15_col4\" class=\"data row15 col4\" >96.90</td>\n",
+ " <td id=\"T_b746f_row15_col5\" class=\"data row15 col5\" >1.43</td>\n",
+ " <td id=\"T_b746f_row15_col6\" class=\"data row15 col6\" >99.59</td>\n",
+ " <td id=\"T_b746f_row15_col7\" class=\"data row15 col7\" >0.85</td>\n",
+ " <td id=\"T_b746f_row15_col8\" class=\"data row15 col8\" >1.24</td>\n",
+ " <td id=\"T_b746f_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
+ " <td id=\"T_b746f_row15_col10\" class=\"data row15 col10\" >8.71</td>\n",
+ " <td id=\"T_b746f_row15_col11\" class=\"data row15 col11\" >2.07</td>\n",
+ " <td id=\"T_b746f_row15_col12\" class=\"data row15 col12\" >32.50</td>\n",
+ " <td id=\"T_b746f_row15_col13\" class=\"data row15 col13\" >3.48</td>\n",
+ " <td id=\"T_b746f_row15_col14\" class=\"data row15 col14\" >0.16</td>\n",
+ " <td id=\"T_b746f_row15_col15\" class=\"data row15 col15\" >0.04</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x70cf403c07d0>"
+ "<pandas.io.formats.style.Styler at 0x760631edc050>"
]
},
"metadata": {},
@@ -805,367 +799,367 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_ebd83 td {\n",
+ "#T_39bac td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ebd83 th {\n",
+ "#T_39bac th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ebd83_row0_col4, #T_ebd83_row0_col6, #T_ebd83_row0_col8, #T_ebd83_row0_col10, #T_ebd83_row0_col12, #T_ebd83_row0_col14, #T_ebd83_row1_col0, #T_ebd83_row3_col0, #T_ebd83_row12_col2, #T_ebd83_row15_col4, #T_ebd83_row15_col6, #T_ebd83_row15_col8, #T_ebd83_row15_col12 {\n",
+ "#T_39bac_row0_col4, #T_39bac_row0_col6, #T_39bac_row0_col8, #T_39bac_row0_col10, #T_39bac_row0_col12, #T_39bac_row0_col14, #T_39bac_row1_col0, #T_39bac_row3_col0, #T_39bac_row12_col2, #T_39bac_row15_col4, #T_39bac_row15_col6, #T_39bac_row15_col8, #T_39bac_row15_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_ebd83\">\n",
+ "<table id=\"T_39bac\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_ebd83_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_ebd83_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_ebd83_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_39bac_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_39bac_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_39bac_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_ebd83_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_ebd83_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_ebd83_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_ebd83_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_ebd83_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_ebd83_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_ebd83_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_ebd83_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_39bac_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_39bac_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_39bac_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_39bac_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_39bac_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_39bac_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_39bac_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_39bac_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_ebd83_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_ebd83_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_ebd83_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_39bac_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_39bac_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_ebd83_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_ebd83_row0_col0\" class=\"data row0 col0\" >98.78</td>\n",
- " <td id=\"T_ebd83_row0_col1\" class=\"data row0 col1\" >1.26</td>\n",
- " <td id=\"T_ebd83_row0_col2\" class=\"data row0 col2\" >99.25</td>\n",
- " <td id=\"T_ebd83_row0_col3\" class=\"data row0 col3\" >0.88</td>\n",
- " <td id=\"T_ebd83_row0_col4\" class=\"data row0 col4\" >99.40</td>\n",
- " <td id=\"T_ebd83_row0_col5\" class=\"data row0 col5\" >0.88</td>\n",
- " <td id=\"T_ebd83_row0_col6\" class=\"data row0 col6\" >99.98</td>\n",
- " <td id=\"T_ebd83_row0_col7\" class=\"data row0 col7\" >0.13</td>\n",
- " <td id=\"T_ebd83_row0_col8\" class=\"data row0 col8\" >1.08</td>\n",
- " <td id=\"T_ebd83_row0_col9\" class=\"data row0 col9\" >0.03</td>\n",
- " <td id=\"T_ebd83_row0_col10\" class=\"data row0 col10\" >47.41</td>\n",
- " <td id=\"T_ebd83_row0_col11\" class=\"data row0 col11\" >1.61</td>\n",
- " <td id=\"T_ebd83_row0_col12\" class=\"data row0 col12\" >63.78</td>\n",
- " <td id=\"T_ebd83_row0_col13\" class=\"data row0 col13\" >3.10</td>\n",
- " <td id=\"T_ebd83_row0_col14\" class=\"data row0 col14\" >0.86</td>\n",
- " <td id=\"T_ebd83_row0_col15\" class=\"data row0 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_ebd83_row1_col0\" class=\"data row1 col0\" >98.88</td>\n",
- " <td id=\"T_ebd83_row1_col1\" class=\"data row1 col1\" >1.10</td>\n",
- " <td id=\"T_ebd83_row1_col2\" class=\"data row1 col2\" >99.34</td>\n",
- " <td id=\"T_ebd83_row1_col3\" class=\"data row1 col3\" >0.89</td>\n",
- " <td id=\"T_ebd83_row1_col4\" class=\"data row1 col4\" >96.00</td>\n",
- " <td id=\"T_ebd83_row1_col5\" class=\"data row1 col5\" >1.59</td>\n",
- " <td id=\"T_ebd83_row1_col6\" class=\"data row1 col6\" >98.50</td>\n",
- " <td id=\"T_ebd83_row1_col7\" class=\"data row1 col7\" >1.92</td>\n",
- " <td id=\"T_ebd83_row1_col8\" class=\"data row1 col8\" >1.27</td>\n",
- " <td id=\"T_ebd83_row1_col9\" class=\"data row1 col9\" >0.07</td>\n",
- " <td id=\"T_ebd83_row1_col10\" class=\"data row1 col10\" >45.49</td>\n",
- " <td id=\"T_ebd83_row1_col11\" class=\"data row1 col11\" >1.78</td>\n",
- " <td id=\"T_ebd83_row1_col12\" class=\"data row1 col12\" >64.72</td>\n",
- " <td id=\"T_ebd83_row1_col13\" class=\"data row1 col13\" >3.05</td>\n",
- " <td id=\"T_ebd83_row1_col14\" class=\"data row1 col14\" >0.82</td>\n",
- " <td id=\"T_ebd83_row1_col15\" class=\"data row1 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_ebd83_row2_col0\" class=\"data row2 col0\" >98.79</td>\n",
- " <td id=\"T_ebd83_row2_col1\" class=\"data row2 col1\" >1.23</td>\n",
- " <td id=\"T_ebd83_row2_col2\" class=\"data row2 col2\" >99.30</td>\n",
- " <td id=\"T_ebd83_row2_col3\" class=\"data row2 col3\" >1.04</td>\n",
- " <td id=\"T_ebd83_row2_col4\" class=\"data row2 col4\" >95.30</td>\n",
- " <td id=\"T_ebd83_row2_col5\" class=\"data row2 col5\" >1.66</td>\n",
- " <td id=\"T_ebd83_row2_col6\" class=\"data row2 col6\" >97.64</td>\n",
- " <td id=\"T_ebd83_row2_col7\" class=\"data row2 col7\" >2.44</td>\n",
- " <td id=\"T_ebd83_row2_col8\" class=\"data row2 col8\" >1.36</td>\n",
- " <td id=\"T_ebd83_row2_col9\" class=\"data row2 col9\" >0.08</td>\n",
- " <td id=\"T_ebd83_row2_col10\" class=\"data row2 col10\" >45.04</td>\n",
- " <td id=\"T_ebd83_row2_col11\" class=\"data row2 col11\" >1.69</td>\n",
- " <td id=\"T_ebd83_row2_col12\" class=\"data row2 col12\" >64.89</td>\n",
- " <td id=\"T_ebd83_row2_col13\" class=\"data row2 col13\" >3.10</td>\n",
- " <td id=\"T_ebd83_row2_col14\" class=\"data row2 col14\" >0.81</td>\n",
- " <td id=\"T_ebd83_row2_col15\" class=\"data row2 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_ebd83_row3_col0\" class=\"data row3 col0\" >98.88</td>\n",
- " <td id=\"T_ebd83_row3_col1\" class=\"data row3 col1\" >1.10</td>\n",
- " <td id=\"T_ebd83_row3_col2\" class=\"data row3 col2\" >99.31</td>\n",
- " <td id=\"T_ebd83_row3_col3\" class=\"data row3 col3\" >0.97</td>\n",
- " <td id=\"T_ebd83_row3_col4\" class=\"data row3 col4\" >95.20</td>\n",
- " <td id=\"T_ebd83_row3_col5\" class=\"data row3 col5\" >1.58</td>\n",
- " <td id=\"T_ebd83_row3_col6\" class=\"data row3 col6\" >98.13</td>\n",
- " <td id=\"T_ebd83_row3_col7\" class=\"data row3 col7\" >2.09</td>\n",
- " <td id=\"T_ebd83_row3_col8\" class=\"data row3 col8\" >1.38</td>\n",
- " <td id=\"T_ebd83_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_ebd83_row3_col10\" class=\"data row3 col10\" >45.09</td>\n",
- " <td id=\"T_ebd83_row3_col11\" class=\"data row3 col11\" >1.75</td>\n",
- " <td id=\"T_ebd83_row3_col12\" class=\"data row3 col12\" >64.88</td>\n",
- " <td id=\"T_ebd83_row3_col13\" class=\"data row3 col13\" >3.04</td>\n",
- " <td id=\"T_ebd83_row3_col14\" class=\"data row3 col14\" >0.82</td>\n",
- " <td id=\"T_ebd83_row3_col15\" class=\"data row3 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_ebd83_row4_col0\" class=\"data row4 col0\" >98.80</td>\n",
- " <td id=\"T_ebd83_row4_col1\" class=\"data row4 col1\" >1.22</td>\n",
- " <td id=\"T_ebd83_row4_col2\" class=\"data row4 col2\" >99.31</td>\n",
- " <td id=\"T_ebd83_row4_col3\" class=\"data row4 col3\" >0.97</td>\n",
- " <td id=\"T_ebd83_row4_col4\" class=\"data row4 col4\" >95.28</td>\n",
- " <td id=\"T_ebd83_row4_col5\" class=\"data row4 col5\" >1.57</td>\n",
- " <td id=\"T_ebd83_row4_col6\" class=\"data row4 col6\" >98.59</td>\n",
- " <td id=\"T_ebd83_row4_col7\" class=\"data row4 col7\" >1.31</td>\n",
- " <td id=\"T_ebd83_row4_col8\" class=\"data row4 col8\" >1.34</td>\n",
- " <td id=\"T_ebd83_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
- " <td id=\"T_ebd83_row4_col10\" class=\"data row4 col10\" >45.08</td>\n",
- " <td id=\"T_ebd83_row4_col11\" class=\"data row4 col11\" >1.72</td>\n",
- " <td id=\"T_ebd83_row4_col12\" class=\"data row4 col12\" >64.56</td>\n",
- " <td id=\"T_ebd83_row4_col13\" class=\"data row4 col13\" >3.12</td>\n",
- " <td id=\"T_ebd83_row4_col14\" class=\"data row4 col14\" >0.82</td>\n",
- " <td id=\"T_ebd83_row4_col15\" class=\"data row4 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_ebd83_row5_col0\" class=\"data row5 col0\" >98.83</td>\n",
- " <td id=\"T_ebd83_row5_col1\" class=\"data row5 col1\" >1.24</td>\n",
- " <td id=\"T_ebd83_row5_col2\" class=\"data row5 col2\" >99.35</td>\n",
- " <td id=\"T_ebd83_row5_col3\" class=\"data row5 col3\" >0.93</td>\n",
- " <td id=\"T_ebd83_row5_col4\" class=\"data row5 col4\" >97.08</td>\n",
- " <td id=\"T_ebd83_row5_col5\" class=\"data row5 col5\" >1.34</td>\n",
- " <td id=\"T_ebd83_row5_col6\" class=\"data row5 col6\" >99.22</td>\n",
- " <td id=\"T_ebd83_row5_col7\" class=\"data row5 col7\" >1.60</td>\n",
- " <td id=\"T_ebd83_row5_col8\" class=\"data row5 col8\" >1.25</td>\n",
- " <td id=\"T_ebd83_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
- " <td id=\"T_ebd83_row5_col10\" class=\"data row5 col10\" >22.16</td>\n",
- " <td id=\"T_ebd83_row5_col11\" class=\"data row5 col11\" >2.75</td>\n",
- " <td id=\"T_ebd83_row5_col12\" class=\"data row5 col12\" >64.47</td>\n",
- " <td id=\"T_ebd83_row5_col13\" class=\"data row5 col13\" >3.06</td>\n",
- " <td id=\"T_ebd83_row5_col14\" class=\"data row5 col14\" >0.40</td>\n",
- " <td id=\"T_ebd83_row5_col15\" class=\"data row5 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_ebd83_row6_col0\" class=\"data row6 col0\" >98.83</td>\n",
- " <td id=\"T_ebd83_row6_col1\" class=\"data row6 col1\" >1.24</td>\n",
- " <td id=\"T_ebd83_row6_col2\" class=\"data row6 col2\" >99.36</td>\n",
- " <td id=\"T_ebd83_row6_col3\" class=\"data row6 col3\" >0.93</td>\n",
- " <td id=\"T_ebd83_row6_col4\" class=\"data row6 col4\" >97.20</td>\n",
- " <td id=\"T_ebd83_row6_col5\" class=\"data row6 col5\" >1.30</td>\n",
- " <td id=\"T_ebd83_row6_col6\" class=\"data row6 col6\" >99.48</td>\n",
- " <td id=\"T_ebd83_row6_col7\" class=\"data row6 col7\" >0.88</td>\n",
- " <td id=\"T_ebd83_row6_col8\" class=\"data row6 col8\" >1.24</td>\n",
- " <td id=\"T_ebd83_row6_col9\" class=\"data row6 col9\" >0.05</td>\n",
- " <td id=\"T_ebd83_row6_col10\" class=\"data row6 col10\" >21.24</td>\n",
- " <td id=\"T_ebd83_row6_col11\" class=\"data row6 col11\" >2.73</td>\n",
- " <td id=\"T_ebd83_row6_col12\" class=\"data row6 col12\" >64.46</td>\n",
- " <td id=\"T_ebd83_row6_col13\" class=\"data row6 col13\" >3.06</td>\n",
- " <td id=\"T_ebd83_row6_col14\" class=\"data row6 col14\" >0.38</td>\n",
- " <td id=\"T_ebd83_row6_col15\" class=\"data row6 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_ebd83_row7_col0\" class=\"data row7 col0\" >98.84</td>\n",
- " <td id=\"T_ebd83_row7_col1\" class=\"data row7 col1\" >1.22</td>\n",
- " <td id=\"T_ebd83_row7_col2\" class=\"data row7 col2\" >99.33</td>\n",
- " <td id=\"T_ebd83_row7_col3\" class=\"data row7 col3\" >0.99</td>\n",
- " <td id=\"T_ebd83_row7_col4\" class=\"data row7 col4\" >96.98</td>\n",
- " <td id=\"T_ebd83_row7_col5\" class=\"data row7 col5\" >1.45</td>\n",
- " <td id=\"T_ebd83_row7_col6\" class=\"data row7 col6\" >99.17</td>\n",
- " <td id=\"T_ebd83_row7_col7\" class=\"data row7 col7\" >1.25</td>\n",
- " <td id=\"T_ebd83_row7_col8\" class=\"data row7 col8\" >1.22</td>\n",
- " <td id=\"T_ebd83_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
- " <td id=\"T_ebd83_row7_col10\" class=\"data row7 col10\" >20.46</td>\n",
- " <td id=\"T_ebd83_row7_col11\" class=\"data row7 col11\" >2.55</td>\n",
- " <td id=\"T_ebd83_row7_col12\" class=\"data row7 col12\" >64.28</td>\n",
- " <td id=\"T_ebd83_row7_col13\" class=\"data row7 col13\" >3.08</td>\n",
- " <td id=\"T_ebd83_row7_col14\" class=\"data row7 col14\" >0.37</td>\n",
- " <td id=\"T_ebd83_row7_col15\" class=\"data row7 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_ebd83_row8_col0\" class=\"data row8 col0\" >98.79</td>\n",
- " <td id=\"T_ebd83_row8_col1\" class=\"data row8 col1\" >1.20</td>\n",
- " <td id=\"T_ebd83_row8_col2\" class=\"data row8 col2\" >99.28</td>\n",
- " <td id=\"T_ebd83_row8_col3\" class=\"data row8 col3\" >1.00</td>\n",
- " <td id=\"T_ebd83_row8_col4\" class=\"data row8 col4\" >97.26</td>\n",
- " <td id=\"T_ebd83_row8_col5\" class=\"data row8 col5\" >1.13</td>\n",
- " <td id=\"T_ebd83_row8_col6\" class=\"data row8 col6\" >99.53</td>\n",
- " <td id=\"T_ebd83_row8_col7\" class=\"data row8 col7\" >1.09</td>\n",
- " <td id=\"T_ebd83_row8_col8\" class=\"data row8 col8\" >1.23</td>\n",
- " <td id=\"T_ebd83_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
- " <td id=\"T_ebd83_row8_col10\" class=\"data row8 col10\" >15.21</td>\n",
- " <td id=\"T_ebd83_row8_col11\" class=\"data row8 col11\" >2.93</td>\n",
- " <td id=\"T_ebd83_row8_col12\" class=\"data row8 col12\" >64.43</td>\n",
- " <td id=\"T_ebd83_row8_col13\" class=\"data row8 col13\" >3.05</td>\n",
- " <td id=\"T_ebd83_row8_col14\" class=\"data row8 col14\" >0.27</td>\n",
- " <td id=\"T_ebd83_row8_col15\" class=\"data row8 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_ebd83_row9_col0\" class=\"data row9 col0\" >98.81</td>\n",
- " <td id=\"T_ebd83_row9_col1\" class=\"data row9 col1\" >1.14</td>\n",
- " <td id=\"T_ebd83_row9_col2\" class=\"data row9 col2\" >99.38</td>\n",
- " <td id=\"T_ebd83_row9_col3\" class=\"data row9 col3\" >0.84</td>\n",
- " <td id=\"T_ebd83_row9_col4\" class=\"data row9 col4\" >97.14</td>\n",
- " <td id=\"T_ebd83_row9_col5\" class=\"data row9 col5\" >1.29</td>\n",
- " <td id=\"T_ebd83_row9_col6\" class=\"data row9 col6\" >99.55</td>\n",
- " <td id=\"T_ebd83_row9_col7\" class=\"data row9 col7\" >0.98</td>\n",
- " <td id=\"T_ebd83_row9_col8\" class=\"data row9 col8\" >1.20</td>\n",
- " <td id=\"T_ebd83_row9_col9\" class=\"data row9 col9\" >0.06</td>\n",
- " <td id=\"T_ebd83_row9_col10\" class=\"data row9 col10\" >15.46</td>\n",
- " <td id=\"T_ebd83_row9_col11\" class=\"data row9 col11\" >3.02</td>\n",
- " <td id=\"T_ebd83_row9_col12\" class=\"data row9 col12\" >64.30</td>\n",
- " <td id=\"T_ebd83_row9_col13\" class=\"data row9 col13\" >3.07</td>\n",
- " <td id=\"T_ebd83_row9_col14\" class=\"data row9 col14\" >0.28</td>\n",
- " <td id=\"T_ebd83_row9_col15\" class=\"data row9 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_ebd83_row10_col0\" class=\"data row10 col0\" >98.80</td>\n",
- " <td id=\"T_ebd83_row10_col1\" class=\"data row10 col1\" >1.24</td>\n",
- " <td id=\"T_ebd83_row10_col2\" class=\"data row10 col2\" >99.38</td>\n",
- " <td id=\"T_ebd83_row10_col3\" class=\"data row10 col3\" >0.86</td>\n",
- " <td id=\"T_ebd83_row10_col4\" class=\"data row10 col4\" >97.20</td>\n",
- " <td id=\"T_ebd83_row10_col5\" class=\"data row10 col5\" >1.35</td>\n",
- " <td id=\"T_ebd83_row10_col6\" class=\"data row10 col6\" >99.52</td>\n",
- " <td id=\"T_ebd83_row10_col7\" class=\"data row10 col7\" >1.15</td>\n",
- " <td id=\"T_ebd83_row10_col8\" class=\"data row10 col8\" >1.22</td>\n",
- " <td id=\"T_ebd83_row10_col9\" class=\"data row10 col9\" >0.05</td>\n",
- " <td id=\"T_ebd83_row10_col10\" class=\"data row10 col10\" >15.00</td>\n",
- " <td id=\"T_ebd83_row10_col11\" class=\"data row10 col11\" >3.10</td>\n",
- " <td id=\"T_ebd83_row10_col12\" class=\"data row10 col12\" >64.35</td>\n",
- " <td id=\"T_ebd83_row10_col13\" class=\"data row10 col13\" >3.04</td>\n",
- " <td id=\"T_ebd83_row10_col14\" class=\"data row10 col14\" >0.27</td>\n",
- " <td id=\"T_ebd83_row10_col15\" class=\"data row10 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_ebd83_row11_col0\" class=\"data row11 col0\" >98.81</td>\n",
- " <td id=\"T_ebd83_row11_col1\" class=\"data row11 col1\" >1.22</td>\n",
- " <td id=\"T_ebd83_row11_col2\" class=\"data row11 col2\" >99.39</td>\n",
- " <td id=\"T_ebd83_row11_col3\" class=\"data row11 col3\" >0.87</td>\n",
- " <td id=\"T_ebd83_row11_col4\" class=\"data row11 col4\" >98.81</td>\n",
- " <td id=\"T_ebd83_row11_col5\" class=\"data row11 col5\" >1.00</td>\n",
- " <td id=\"T_ebd83_row11_col6\" class=\"data row11 col6\" >99.90</td>\n",
- " <td id=\"T_ebd83_row11_col7\" class=\"data row11 col7\" >0.37</td>\n",
- " <td id=\"T_ebd83_row11_col8\" class=\"data row11 col8\" >1.14</td>\n",
- " <td id=\"T_ebd83_row11_col9\" class=\"data row11 col9\" >0.05</td>\n",
- " <td id=\"T_ebd83_row11_col10\" class=\"data row11 col10\" >5.55</td>\n",
- " <td id=\"T_ebd83_row11_col11\" class=\"data row11 col11\" >2.03</td>\n",
- " <td id=\"T_ebd83_row11_col12\" class=\"data row11 col12\" >64.01</td>\n",
- " <td id=\"T_ebd83_row11_col13\" class=\"data row11 col13\" >3.10</td>\n",
- " <td id=\"T_ebd83_row11_col14\" class=\"data row11 col14\" >0.10</td>\n",
- " <td id=\"T_ebd83_row11_col15\" class=\"data row11 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_ebd83_row12_col0\" class=\"data row12 col0\" >98.85</td>\n",
- " <td id=\"T_ebd83_row12_col1\" class=\"data row12 col1\" >1.07</td>\n",
- " <td id=\"T_ebd83_row12_col2\" class=\"data row12 col2\" >99.41</td>\n",
- " <td id=\"T_ebd83_row12_col3\" class=\"data row12 col3\" >0.86</td>\n",
- " <td id=\"T_ebd83_row12_col4\" class=\"data row12 col4\" >98.65</td>\n",
- " <td id=\"T_ebd83_row12_col5\" class=\"data row12 col5\" >1.00</td>\n",
- " <td id=\"T_ebd83_row12_col6\" class=\"data row12 col6\" >99.81</td>\n",
- " <td id=\"T_ebd83_row12_col7\" class=\"data row12 col7\" >0.74</td>\n",
- " <td id=\"T_ebd83_row12_col8\" class=\"data row12 col8\" >1.14</td>\n",
- " <td id=\"T_ebd83_row12_col9\" class=\"data row12 col9\" >0.05</td>\n",
- " <td id=\"T_ebd83_row12_col10\" class=\"data row12 col10\" >6.39</td>\n",
- " <td id=\"T_ebd83_row12_col11\" class=\"data row12 col11\" >2.26</td>\n",
- " <td id=\"T_ebd83_row12_col12\" class=\"data row12 col12\" >63.96</td>\n",
- " <td id=\"T_ebd83_row12_col13\" class=\"data row12 col13\" >3.10</td>\n",
- " <td id=\"T_ebd83_row12_col14\" class=\"data row12 col14\" >0.12</td>\n",
- " <td id=\"T_ebd83_row12_col15\" class=\"data row12 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_ebd83_row13_col0\" class=\"data row13 col0\" >98.83</td>\n",
- " <td id=\"T_ebd83_row13_col1\" class=\"data row13 col1\" >1.18</td>\n",
- " <td id=\"T_ebd83_row13_col2\" class=\"data row13 col2\" >99.39</td>\n",
- " <td id=\"T_ebd83_row13_col3\" class=\"data row13 col3\" >0.91</td>\n",
- " <td id=\"T_ebd83_row13_col4\" class=\"data row13 col4\" >98.77</td>\n",
- " <td id=\"T_ebd83_row13_col5\" class=\"data row13 col5\" >0.93</td>\n",
- " <td id=\"T_ebd83_row13_col6\" class=\"data row13 col6\" >99.90</td>\n",
- " <td id=\"T_ebd83_row13_col7\" class=\"data row13 col7\" >0.39</td>\n",
- " <td id=\"T_ebd83_row13_col8\" class=\"data row13 col8\" >1.12</td>\n",
- " <td id=\"T_ebd83_row13_col9\" class=\"data row13 col9\" >0.05</td>\n",
- " <td id=\"T_ebd83_row13_col10\" class=\"data row13 col10\" >6.08</td>\n",
- " <td id=\"T_ebd83_row13_col11\" class=\"data row13 col11\" >2.36</td>\n",
- " <td id=\"T_ebd83_row13_col12\" class=\"data row13 col12\" >63.97</td>\n",
- " <td id=\"T_ebd83_row13_col13\" class=\"data row13 col13\" >3.15</td>\n",
- " <td id=\"T_ebd83_row13_col14\" class=\"data row13 col14\" >0.11</td>\n",
- " <td id=\"T_ebd83_row13_col15\" class=\"data row13 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_ebd83_row14_col0\" class=\"data row14 col0\" >98.80</td>\n",
- " <td id=\"T_ebd83_row14_col1\" class=\"data row14 col1\" >1.20</td>\n",
- " <td id=\"T_ebd83_row14_col2\" class=\"data row14 col2\" >99.31</td>\n",
- " <td id=\"T_ebd83_row14_col3\" class=\"data row14 col3\" >0.92</td>\n",
- " <td id=\"T_ebd83_row14_col4\" class=\"data row14 col4\" >98.75</td>\n",
- " <td id=\"T_ebd83_row14_col5\" class=\"data row14 col5\" >0.98</td>\n",
- " <td id=\"T_ebd83_row14_col6\" class=\"data row14 col6\" >99.86</td>\n",
- " <td id=\"T_ebd83_row14_col7\" class=\"data row14 col7\" >0.44</td>\n",
- " <td id=\"T_ebd83_row14_col8\" class=\"data row14 col8\" >1.12</td>\n",
- " <td id=\"T_ebd83_row14_col9\" class=\"data row14 col9\" >0.05</td>\n",
- " <td id=\"T_ebd83_row14_col10\" class=\"data row14 col10\" >4.25</td>\n",
- " <td id=\"T_ebd83_row14_col11\" class=\"data row14 col11\" >1.66</td>\n",
- " <td id=\"T_ebd83_row14_col12\" class=\"data row14 col12\" >63.98</td>\n",
- " <td id=\"T_ebd83_row14_col13\" class=\"data row14 col13\" >3.07</td>\n",
- " <td id=\"T_ebd83_row14_col14\" class=\"data row14 col14\" >0.08</td>\n",
- " <td id=\"T_ebd83_row14_col15\" class=\"data row14 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebd83_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_ebd83_row15_col0\" class=\"data row15 col0\" >98.78</td>\n",
- " <td id=\"T_ebd83_row15_col1\" class=\"data row15 col1\" >1.26</td>\n",
- " <td id=\"T_ebd83_row15_col2\" class=\"data row15 col2\" >99.25</td>\n",
- " <td id=\"T_ebd83_row15_col3\" class=\"data row15 col3\" >0.88</td>\n",
- " <td id=\"T_ebd83_row15_col4\" class=\"data row15 col4\" >99.40</td>\n",
- " <td id=\"T_ebd83_row15_col5\" class=\"data row15 col5\" >0.88</td>\n",
- " <td id=\"T_ebd83_row15_col6\" class=\"data row15 col6\" >99.98</td>\n",
- " <td id=\"T_ebd83_row15_col7\" class=\"data row15 col7\" >0.13</td>\n",
- " <td id=\"T_ebd83_row15_col8\" class=\"data row15 col8\" >1.08</td>\n",
- " <td id=\"T_ebd83_row15_col9\" class=\"data row15 col9\" >0.03</td>\n",
- " <td id=\"T_ebd83_row15_col10\" class=\"data row15 col10\" >1.31</td>\n",
- " <td id=\"T_ebd83_row15_col11\" class=\"data row15 col11\" >0.78</td>\n",
- " <td id=\"T_ebd83_row15_col12\" class=\"data row15 col12\" >63.78</td>\n",
- " <td id=\"T_ebd83_row15_col13\" class=\"data row15 col13\" >3.10</td>\n",
- " <td id=\"T_ebd83_row15_col14\" class=\"data row15 col14\" >0.02</td>\n",
- " <td id=\"T_ebd83_row15_col15\" class=\"data row15 col15\" >0.01</td>\n",
+ " <th id=\"T_39bac_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_39bac_row0_col0\" class=\"data row0 col0\" >98.78</td>\n",
+ " <td id=\"T_39bac_row0_col1\" class=\"data row0 col1\" >1.26</td>\n",
+ " <td id=\"T_39bac_row0_col2\" class=\"data row0 col2\" >99.25</td>\n",
+ " <td id=\"T_39bac_row0_col3\" class=\"data row0 col3\" >0.88</td>\n",
+ " <td id=\"T_39bac_row0_col4\" class=\"data row0 col4\" >99.40</td>\n",
+ " <td id=\"T_39bac_row0_col5\" class=\"data row0 col5\" >0.88</td>\n",
+ " <td id=\"T_39bac_row0_col6\" class=\"data row0 col6\" >99.98</td>\n",
+ " <td id=\"T_39bac_row0_col7\" class=\"data row0 col7\" >0.13</td>\n",
+ " <td id=\"T_39bac_row0_col8\" class=\"data row0 col8\" >1.08</td>\n",
+ " <td id=\"T_39bac_row0_col9\" class=\"data row0 col9\" >0.03</td>\n",
+ " <td id=\"T_39bac_row0_col10\" class=\"data row0 col10\" >47.41</td>\n",
+ " <td id=\"T_39bac_row0_col11\" class=\"data row0 col11\" >1.61</td>\n",
+ " <td id=\"T_39bac_row0_col12\" class=\"data row0 col12\" >63.78</td>\n",
+ " <td id=\"T_39bac_row0_col13\" class=\"data row0 col13\" >3.10</td>\n",
+ " <td id=\"T_39bac_row0_col14\" class=\"data row0 col14\" >0.86</td>\n",
+ " <td id=\"T_39bac_row0_col15\" class=\"data row0 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_39bac_row1_col0\" class=\"data row1 col0\" >98.88</td>\n",
+ " <td id=\"T_39bac_row1_col1\" class=\"data row1 col1\" >1.10</td>\n",
+ " <td id=\"T_39bac_row1_col2\" class=\"data row1 col2\" >99.34</td>\n",
+ " <td id=\"T_39bac_row1_col3\" class=\"data row1 col3\" >0.89</td>\n",
+ " <td id=\"T_39bac_row1_col4\" class=\"data row1 col4\" >96.00</td>\n",
+ " <td id=\"T_39bac_row1_col5\" class=\"data row1 col5\" >1.59</td>\n",
+ " <td id=\"T_39bac_row1_col6\" class=\"data row1 col6\" >98.50</td>\n",
+ " <td id=\"T_39bac_row1_col7\" class=\"data row1 col7\" >1.92</td>\n",
+ " <td id=\"T_39bac_row1_col8\" class=\"data row1 col8\" >1.27</td>\n",
+ " <td id=\"T_39bac_row1_col9\" class=\"data row1 col9\" >0.07</td>\n",
+ " <td id=\"T_39bac_row1_col10\" class=\"data row1 col10\" >45.49</td>\n",
+ " <td id=\"T_39bac_row1_col11\" class=\"data row1 col11\" >1.78</td>\n",
+ " <td id=\"T_39bac_row1_col12\" class=\"data row1 col12\" >64.72</td>\n",
+ " <td id=\"T_39bac_row1_col13\" class=\"data row1 col13\" >3.05</td>\n",
+ " <td id=\"T_39bac_row1_col14\" class=\"data row1 col14\" >0.82</td>\n",
+ " <td id=\"T_39bac_row1_col15\" class=\"data row1 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_39bac_row2_col0\" class=\"data row2 col0\" >98.79</td>\n",
+ " <td id=\"T_39bac_row2_col1\" class=\"data row2 col1\" >1.23</td>\n",
+ " <td id=\"T_39bac_row2_col2\" class=\"data row2 col2\" >99.30</td>\n",
+ " <td id=\"T_39bac_row2_col3\" class=\"data row2 col3\" >1.04</td>\n",
+ " <td id=\"T_39bac_row2_col4\" class=\"data row2 col4\" >95.30</td>\n",
+ " <td id=\"T_39bac_row2_col5\" class=\"data row2 col5\" >1.66</td>\n",
+ " <td id=\"T_39bac_row2_col6\" class=\"data row2 col6\" >97.64</td>\n",
+ " <td id=\"T_39bac_row2_col7\" class=\"data row2 col7\" >2.44</td>\n",
+ " <td id=\"T_39bac_row2_col8\" class=\"data row2 col8\" >1.36</td>\n",
+ " <td id=\"T_39bac_row2_col9\" class=\"data row2 col9\" >0.08</td>\n",
+ " <td id=\"T_39bac_row2_col10\" class=\"data row2 col10\" >45.04</td>\n",
+ " <td id=\"T_39bac_row2_col11\" class=\"data row2 col11\" >1.69</td>\n",
+ " <td id=\"T_39bac_row2_col12\" class=\"data row2 col12\" >64.89</td>\n",
+ " <td id=\"T_39bac_row2_col13\" class=\"data row2 col13\" >3.10</td>\n",
+ " <td id=\"T_39bac_row2_col14\" class=\"data row2 col14\" >0.81</td>\n",
+ " <td id=\"T_39bac_row2_col15\" class=\"data row2 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_39bac_row3_col0\" class=\"data row3 col0\" >98.88</td>\n",
+ " <td id=\"T_39bac_row3_col1\" class=\"data row3 col1\" >1.10</td>\n",
+ " <td id=\"T_39bac_row3_col2\" class=\"data row3 col2\" >99.31</td>\n",
+ " <td id=\"T_39bac_row3_col3\" class=\"data row3 col3\" >0.97</td>\n",
+ " <td id=\"T_39bac_row3_col4\" class=\"data row3 col4\" >95.20</td>\n",
+ " <td id=\"T_39bac_row3_col5\" class=\"data row3 col5\" >1.58</td>\n",
+ " <td id=\"T_39bac_row3_col6\" class=\"data row3 col6\" >98.13</td>\n",
+ " <td id=\"T_39bac_row3_col7\" class=\"data row3 col7\" >2.09</td>\n",
+ " <td id=\"T_39bac_row3_col8\" class=\"data row3 col8\" >1.38</td>\n",
+ " <td id=\"T_39bac_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_39bac_row3_col10\" class=\"data row3 col10\" >45.09</td>\n",
+ " <td id=\"T_39bac_row3_col11\" class=\"data row3 col11\" >1.75</td>\n",
+ " <td id=\"T_39bac_row3_col12\" class=\"data row3 col12\" >64.88</td>\n",
+ " <td id=\"T_39bac_row3_col13\" class=\"data row3 col13\" >3.04</td>\n",
+ " <td id=\"T_39bac_row3_col14\" class=\"data row3 col14\" >0.82</td>\n",
+ " <td id=\"T_39bac_row3_col15\" class=\"data row3 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_39bac_row4_col0\" class=\"data row4 col0\" >98.80</td>\n",
+ " <td id=\"T_39bac_row4_col1\" class=\"data row4 col1\" >1.22</td>\n",
+ " <td id=\"T_39bac_row4_col2\" class=\"data row4 col2\" >99.31</td>\n",
+ " <td id=\"T_39bac_row4_col3\" class=\"data row4 col3\" >0.97</td>\n",
+ " <td id=\"T_39bac_row4_col4\" class=\"data row4 col4\" >95.28</td>\n",
+ " <td id=\"T_39bac_row4_col5\" class=\"data row4 col5\" >1.57</td>\n",
+ " <td id=\"T_39bac_row4_col6\" class=\"data row4 col6\" >98.59</td>\n",
+ " <td id=\"T_39bac_row4_col7\" class=\"data row4 col7\" >1.31</td>\n",
+ " <td id=\"T_39bac_row4_col8\" class=\"data row4 col8\" >1.34</td>\n",
+ " <td id=\"T_39bac_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
+ " <td id=\"T_39bac_row4_col10\" class=\"data row4 col10\" >45.08</td>\n",
+ " <td id=\"T_39bac_row4_col11\" class=\"data row4 col11\" >1.72</td>\n",
+ " <td id=\"T_39bac_row4_col12\" class=\"data row4 col12\" >64.56</td>\n",
+ " <td id=\"T_39bac_row4_col13\" class=\"data row4 col13\" >3.12</td>\n",
+ " <td id=\"T_39bac_row4_col14\" class=\"data row4 col14\" >0.82</td>\n",
+ " <td id=\"T_39bac_row4_col15\" class=\"data row4 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_39bac_row5_col0\" class=\"data row5 col0\" >98.83</td>\n",
+ " <td id=\"T_39bac_row5_col1\" class=\"data row5 col1\" >1.24</td>\n",
+ " <td id=\"T_39bac_row5_col2\" class=\"data row5 col2\" >99.35</td>\n",
+ " <td id=\"T_39bac_row5_col3\" class=\"data row5 col3\" >0.93</td>\n",
+ " <td id=\"T_39bac_row5_col4\" class=\"data row5 col4\" >97.08</td>\n",
+ " <td id=\"T_39bac_row5_col5\" class=\"data row5 col5\" >1.34</td>\n",
+ " <td id=\"T_39bac_row5_col6\" class=\"data row5 col6\" >99.22</td>\n",
+ " <td id=\"T_39bac_row5_col7\" class=\"data row5 col7\" >1.60</td>\n",
+ " <td id=\"T_39bac_row5_col8\" class=\"data row5 col8\" >1.25</td>\n",
+ " <td id=\"T_39bac_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
+ " <td id=\"T_39bac_row5_col10\" class=\"data row5 col10\" >22.16</td>\n",
+ " <td id=\"T_39bac_row5_col11\" class=\"data row5 col11\" >2.75</td>\n",
+ " <td id=\"T_39bac_row5_col12\" class=\"data row5 col12\" >64.47</td>\n",
+ " <td id=\"T_39bac_row5_col13\" class=\"data row5 col13\" >3.06</td>\n",
+ " <td id=\"T_39bac_row5_col14\" class=\"data row5 col14\" >0.40</td>\n",
+ " <td id=\"T_39bac_row5_col15\" class=\"data row5 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_39bac_row6_col0\" class=\"data row6 col0\" >98.83</td>\n",
+ " <td id=\"T_39bac_row6_col1\" class=\"data row6 col1\" >1.24</td>\n",
+ " <td id=\"T_39bac_row6_col2\" class=\"data row6 col2\" >99.36</td>\n",
+ " <td id=\"T_39bac_row6_col3\" class=\"data row6 col3\" >0.93</td>\n",
+ " <td id=\"T_39bac_row6_col4\" class=\"data row6 col4\" >97.20</td>\n",
+ " <td id=\"T_39bac_row6_col5\" class=\"data row6 col5\" >1.30</td>\n",
+ " <td id=\"T_39bac_row6_col6\" class=\"data row6 col6\" >99.48</td>\n",
+ " <td id=\"T_39bac_row6_col7\" class=\"data row6 col7\" >0.88</td>\n",
+ " <td id=\"T_39bac_row6_col8\" class=\"data row6 col8\" >1.24</td>\n",
+ " <td id=\"T_39bac_row6_col9\" class=\"data row6 col9\" >0.05</td>\n",
+ " <td id=\"T_39bac_row6_col10\" class=\"data row6 col10\" >21.24</td>\n",
+ " <td id=\"T_39bac_row6_col11\" class=\"data row6 col11\" >2.73</td>\n",
+ " <td id=\"T_39bac_row6_col12\" class=\"data row6 col12\" >64.46</td>\n",
+ " <td id=\"T_39bac_row6_col13\" class=\"data row6 col13\" >3.06</td>\n",
+ " <td id=\"T_39bac_row6_col14\" class=\"data row6 col14\" >0.38</td>\n",
+ " <td id=\"T_39bac_row6_col15\" class=\"data row6 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_39bac_row7_col0\" class=\"data row7 col0\" >98.84</td>\n",
+ " <td id=\"T_39bac_row7_col1\" class=\"data row7 col1\" >1.22</td>\n",
+ " <td id=\"T_39bac_row7_col2\" class=\"data row7 col2\" >99.33</td>\n",
+ " <td id=\"T_39bac_row7_col3\" class=\"data row7 col3\" >0.99</td>\n",
+ " <td id=\"T_39bac_row7_col4\" class=\"data row7 col4\" >96.98</td>\n",
+ " <td id=\"T_39bac_row7_col5\" class=\"data row7 col5\" >1.45</td>\n",
+ " <td id=\"T_39bac_row7_col6\" class=\"data row7 col6\" >99.17</td>\n",
+ " <td id=\"T_39bac_row7_col7\" class=\"data row7 col7\" >1.25</td>\n",
+ " <td id=\"T_39bac_row7_col8\" class=\"data row7 col8\" >1.22</td>\n",
+ " <td id=\"T_39bac_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
+ " <td id=\"T_39bac_row7_col10\" class=\"data row7 col10\" >20.46</td>\n",
+ " <td id=\"T_39bac_row7_col11\" class=\"data row7 col11\" >2.55</td>\n",
+ " <td id=\"T_39bac_row7_col12\" class=\"data row7 col12\" >64.28</td>\n",
+ " <td id=\"T_39bac_row7_col13\" class=\"data row7 col13\" >3.08</td>\n",
+ " <td id=\"T_39bac_row7_col14\" class=\"data row7 col14\" >0.37</td>\n",
+ " <td id=\"T_39bac_row7_col15\" class=\"data row7 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_39bac_row8_col0\" class=\"data row8 col0\" >98.79</td>\n",
+ " <td id=\"T_39bac_row8_col1\" class=\"data row8 col1\" >1.20</td>\n",
+ " <td id=\"T_39bac_row8_col2\" class=\"data row8 col2\" >99.28</td>\n",
+ " <td id=\"T_39bac_row8_col3\" class=\"data row8 col3\" >1.00</td>\n",
+ " <td id=\"T_39bac_row8_col4\" class=\"data row8 col4\" >97.26</td>\n",
+ " <td id=\"T_39bac_row8_col5\" class=\"data row8 col5\" >1.13</td>\n",
+ " <td id=\"T_39bac_row8_col6\" class=\"data row8 col6\" >99.53</td>\n",
+ " <td id=\"T_39bac_row8_col7\" class=\"data row8 col7\" >1.09</td>\n",
+ " <td id=\"T_39bac_row8_col8\" class=\"data row8 col8\" >1.23</td>\n",
+ " <td id=\"T_39bac_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
+ " <td id=\"T_39bac_row8_col10\" class=\"data row8 col10\" >15.21</td>\n",
+ " <td id=\"T_39bac_row8_col11\" class=\"data row8 col11\" >2.93</td>\n",
+ " <td id=\"T_39bac_row8_col12\" class=\"data row8 col12\" >64.43</td>\n",
+ " <td id=\"T_39bac_row8_col13\" class=\"data row8 col13\" >3.05</td>\n",
+ " <td id=\"T_39bac_row8_col14\" class=\"data row8 col14\" >0.27</td>\n",
+ " <td id=\"T_39bac_row8_col15\" class=\"data row8 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_39bac_row9_col0\" class=\"data row9 col0\" >98.81</td>\n",
+ " <td id=\"T_39bac_row9_col1\" class=\"data row9 col1\" >1.14</td>\n",
+ " <td id=\"T_39bac_row9_col2\" class=\"data row9 col2\" >99.38</td>\n",
+ " <td id=\"T_39bac_row9_col3\" class=\"data row9 col3\" >0.84</td>\n",
+ " <td id=\"T_39bac_row9_col4\" class=\"data row9 col4\" >97.14</td>\n",
+ " <td id=\"T_39bac_row9_col5\" class=\"data row9 col5\" >1.29</td>\n",
+ " <td id=\"T_39bac_row9_col6\" class=\"data row9 col6\" >99.55</td>\n",
+ " <td id=\"T_39bac_row9_col7\" class=\"data row9 col7\" >0.98</td>\n",
+ " <td id=\"T_39bac_row9_col8\" class=\"data row9 col8\" >1.20</td>\n",
+ " <td id=\"T_39bac_row9_col9\" class=\"data row9 col9\" >0.06</td>\n",
+ " <td id=\"T_39bac_row9_col10\" class=\"data row9 col10\" >15.46</td>\n",
+ " <td id=\"T_39bac_row9_col11\" class=\"data row9 col11\" >3.02</td>\n",
+ " <td id=\"T_39bac_row9_col12\" class=\"data row9 col12\" >64.30</td>\n",
+ " <td id=\"T_39bac_row9_col13\" class=\"data row9 col13\" >3.07</td>\n",
+ " <td id=\"T_39bac_row9_col14\" class=\"data row9 col14\" >0.28</td>\n",
+ " <td id=\"T_39bac_row9_col15\" class=\"data row9 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_39bac_row10_col0\" class=\"data row10 col0\" >98.80</td>\n",
+ " <td id=\"T_39bac_row10_col1\" class=\"data row10 col1\" >1.24</td>\n",
+ " <td id=\"T_39bac_row10_col2\" class=\"data row10 col2\" >99.38</td>\n",
+ " <td id=\"T_39bac_row10_col3\" class=\"data row10 col3\" >0.86</td>\n",
+ " <td id=\"T_39bac_row10_col4\" class=\"data row10 col4\" >97.20</td>\n",
+ " <td id=\"T_39bac_row10_col5\" class=\"data row10 col5\" >1.35</td>\n",
+ " <td id=\"T_39bac_row10_col6\" class=\"data row10 col6\" >99.52</td>\n",
+ " <td id=\"T_39bac_row10_col7\" class=\"data row10 col7\" >1.15</td>\n",
+ " <td id=\"T_39bac_row10_col8\" class=\"data row10 col8\" >1.22</td>\n",
+ " <td id=\"T_39bac_row10_col9\" class=\"data row10 col9\" >0.05</td>\n",
+ " <td id=\"T_39bac_row10_col10\" class=\"data row10 col10\" >15.00</td>\n",
+ " <td id=\"T_39bac_row10_col11\" class=\"data row10 col11\" >3.10</td>\n",
+ " <td id=\"T_39bac_row10_col12\" class=\"data row10 col12\" >64.35</td>\n",
+ " <td id=\"T_39bac_row10_col13\" class=\"data row10 col13\" >3.04</td>\n",
+ " <td id=\"T_39bac_row10_col14\" class=\"data row10 col14\" >0.27</td>\n",
+ " <td id=\"T_39bac_row10_col15\" class=\"data row10 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_39bac_row11_col0\" class=\"data row11 col0\" >98.81</td>\n",
+ " <td id=\"T_39bac_row11_col1\" class=\"data row11 col1\" >1.22</td>\n",
+ " <td id=\"T_39bac_row11_col2\" class=\"data row11 col2\" >99.39</td>\n",
+ " <td id=\"T_39bac_row11_col3\" class=\"data row11 col3\" >0.87</td>\n",
+ " <td id=\"T_39bac_row11_col4\" class=\"data row11 col4\" >98.81</td>\n",
+ " <td id=\"T_39bac_row11_col5\" class=\"data row11 col5\" >1.00</td>\n",
+ " <td id=\"T_39bac_row11_col6\" class=\"data row11 col6\" >99.90</td>\n",
+ " <td id=\"T_39bac_row11_col7\" class=\"data row11 col7\" >0.37</td>\n",
+ " <td id=\"T_39bac_row11_col8\" class=\"data row11 col8\" >1.14</td>\n",
+ " <td id=\"T_39bac_row11_col9\" class=\"data row11 col9\" >0.05</td>\n",
+ " <td id=\"T_39bac_row11_col10\" class=\"data row11 col10\" >5.55</td>\n",
+ " <td id=\"T_39bac_row11_col11\" class=\"data row11 col11\" >2.03</td>\n",
+ " <td id=\"T_39bac_row11_col12\" class=\"data row11 col12\" >64.01</td>\n",
+ " <td id=\"T_39bac_row11_col13\" class=\"data row11 col13\" >3.10</td>\n",
+ " <td id=\"T_39bac_row11_col14\" class=\"data row11 col14\" >0.10</td>\n",
+ " <td id=\"T_39bac_row11_col15\" class=\"data row11 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_39bac_row12_col0\" class=\"data row12 col0\" >98.85</td>\n",
+ " <td id=\"T_39bac_row12_col1\" class=\"data row12 col1\" >1.07</td>\n",
+ " <td id=\"T_39bac_row12_col2\" class=\"data row12 col2\" >99.41</td>\n",
+ " <td id=\"T_39bac_row12_col3\" class=\"data row12 col3\" >0.86</td>\n",
+ " <td id=\"T_39bac_row12_col4\" class=\"data row12 col4\" >98.65</td>\n",
+ " <td id=\"T_39bac_row12_col5\" class=\"data row12 col5\" >1.00</td>\n",
+ " <td id=\"T_39bac_row12_col6\" class=\"data row12 col6\" >99.81</td>\n",
+ " <td id=\"T_39bac_row12_col7\" class=\"data row12 col7\" >0.74</td>\n",
+ " <td id=\"T_39bac_row12_col8\" class=\"data row12 col8\" >1.14</td>\n",
+ " <td id=\"T_39bac_row12_col9\" class=\"data row12 col9\" >0.05</td>\n",
+ " <td id=\"T_39bac_row12_col10\" class=\"data row12 col10\" >6.39</td>\n",
+ " <td id=\"T_39bac_row12_col11\" class=\"data row12 col11\" >2.26</td>\n",
+ " <td id=\"T_39bac_row12_col12\" class=\"data row12 col12\" >63.96</td>\n",
+ " <td id=\"T_39bac_row12_col13\" class=\"data row12 col13\" >3.10</td>\n",
+ " <td id=\"T_39bac_row12_col14\" class=\"data row12 col14\" >0.12</td>\n",
+ " <td id=\"T_39bac_row12_col15\" class=\"data row12 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_39bac_row13_col0\" class=\"data row13 col0\" >98.83</td>\n",
+ " <td id=\"T_39bac_row13_col1\" class=\"data row13 col1\" >1.18</td>\n",
+ " <td id=\"T_39bac_row13_col2\" class=\"data row13 col2\" >99.39</td>\n",
+ " <td id=\"T_39bac_row13_col3\" class=\"data row13 col3\" >0.91</td>\n",
+ " <td id=\"T_39bac_row13_col4\" class=\"data row13 col4\" >98.77</td>\n",
+ " <td id=\"T_39bac_row13_col5\" class=\"data row13 col5\" >0.93</td>\n",
+ " <td id=\"T_39bac_row13_col6\" class=\"data row13 col6\" >99.90</td>\n",
+ " <td id=\"T_39bac_row13_col7\" class=\"data row13 col7\" >0.39</td>\n",
+ " <td id=\"T_39bac_row13_col8\" class=\"data row13 col8\" >1.12</td>\n",
+ " <td id=\"T_39bac_row13_col9\" class=\"data row13 col9\" >0.05</td>\n",
+ " <td id=\"T_39bac_row13_col10\" class=\"data row13 col10\" >6.08</td>\n",
+ " <td id=\"T_39bac_row13_col11\" class=\"data row13 col11\" >2.36</td>\n",
+ " <td id=\"T_39bac_row13_col12\" class=\"data row13 col12\" >63.97</td>\n",
+ " <td id=\"T_39bac_row13_col13\" class=\"data row13 col13\" >3.15</td>\n",
+ " <td id=\"T_39bac_row13_col14\" class=\"data row13 col14\" >0.11</td>\n",
+ " <td id=\"T_39bac_row13_col15\" class=\"data row13 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_39bac_row14_col0\" class=\"data row14 col0\" >98.80</td>\n",
+ " <td id=\"T_39bac_row14_col1\" class=\"data row14 col1\" >1.20</td>\n",
+ " <td id=\"T_39bac_row14_col2\" class=\"data row14 col2\" >99.31</td>\n",
+ " <td id=\"T_39bac_row14_col3\" class=\"data row14 col3\" >0.92</td>\n",
+ " <td id=\"T_39bac_row14_col4\" class=\"data row14 col4\" >98.75</td>\n",
+ " <td id=\"T_39bac_row14_col5\" class=\"data row14 col5\" >0.98</td>\n",
+ " <td id=\"T_39bac_row14_col6\" class=\"data row14 col6\" >99.86</td>\n",
+ " <td id=\"T_39bac_row14_col7\" class=\"data row14 col7\" >0.44</td>\n",
+ " <td id=\"T_39bac_row14_col8\" class=\"data row14 col8\" >1.12</td>\n",
+ " <td id=\"T_39bac_row14_col9\" class=\"data row14 col9\" >0.05</td>\n",
+ " <td id=\"T_39bac_row14_col10\" class=\"data row14 col10\" >4.25</td>\n",
+ " <td id=\"T_39bac_row14_col11\" class=\"data row14 col11\" >1.66</td>\n",
+ " <td id=\"T_39bac_row14_col12\" class=\"data row14 col12\" >63.98</td>\n",
+ " <td id=\"T_39bac_row14_col13\" class=\"data row14 col13\" >3.07</td>\n",
+ " <td id=\"T_39bac_row14_col14\" class=\"data row14 col14\" >0.08</td>\n",
+ " <td id=\"T_39bac_row14_col15\" class=\"data row14 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_39bac_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_39bac_row15_col0\" class=\"data row15 col0\" >98.78</td>\n",
+ " <td id=\"T_39bac_row15_col1\" class=\"data row15 col1\" >1.26</td>\n",
+ " <td id=\"T_39bac_row15_col2\" class=\"data row15 col2\" >99.25</td>\n",
+ " <td id=\"T_39bac_row15_col3\" class=\"data row15 col3\" >0.88</td>\n",
+ " <td id=\"T_39bac_row15_col4\" class=\"data row15 col4\" >99.40</td>\n",
+ " <td id=\"T_39bac_row15_col5\" class=\"data row15 col5\" >0.88</td>\n",
+ " <td id=\"T_39bac_row15_col6\" class=\"data row15 col6\" >99.98</td>\n",
+ " <td id=\"T_39bac_row15_col7\" class=\"data row15 col7\" >0.13</td>\n",
+ " <td id=\"T_39bac_row15_col8\" class=\"data row15 col8\" >1.08</td>\n",
+ " <td id=\"T_39bac_row15_col9\" class=\"data row15 col9\" >0.03</td>\n",
+ " <td id=\"T_39bac_row15_col10\" class=\"data row15 col10\" >1.31</td>\n",
+ " <td id=\"T_39bac_row15_col11\" class=\"data row15 col11\" >0.78</td>\n",
+ " <td id=\"T_39bac_row15_col12\" class=\"data row15 col12\" >63.78</td>\n",
+ " <td id=\"T_39bac_row15_col13\" class=\"data row15 col13\" >3.10</td>\n",
+ " <td id=\"T_39bac_row15_col14\" class=\"data row15 col14\" >0.02</td>\n",
+ " <td id=\"T_39bac_row15_col15\" class=\"data row15 col15\" >0.01</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x70cf40dc3750>"
+ "<pandas.io.formats.style.Styler at 0x76062faa3910>"
]
},
"metadata": {},
@@ -1185,7 +1179,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -1205,814 +1199,814 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_fd2f5 td {\n",
+ "#T_0aa0a td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_fd2f5 th {\n",
+ "#T_0aa0a th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_fd2f5_row0_col0, #T_fd2f5_row21_col2, #T_fd2f5_row60_col0 {\n",
+ "#T_0aa0a_row0_col0, #T_0aa0a_row21_col2, #T_0aa0a_row60_col0 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row0_col2, #T_fd2f5_row6_col2, #T_fd2f5_row60_col2 {\n",
+ "#T_0aa0a_row0_col2, #T_0aa0a_row6_col2, #T_0aa0a_row60_col2 {\n",
" background-color: #65fc65;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row1_col0, #T_fd2f5_row43_col2, #T_fd2f5_row61_col0 {\n",
+ "#T_0aa0a_row1_col0, #T_0aa0a_row43_col2, #T_0aa0a_row61_col0 {\n",
" background-color: #8ff98f;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row1_col2, #T_fd2f5_row30_col2, #T_fd2f5_row51_col0, #T_fd2f5_row61_col2 {\n",
+ "#T_0aa0a_row1_col2, #T_0aa0a_row30_col2, #T_0aa0a_row51_col0, #T_0aa0a_row61_col2 {\n",
" background-color: #76fb76;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row2_col0, #T_fd2f5_row62_col0 {\n",
+ "#T_0aa0a_row2_col0, #T_0aa0a_row62_col0 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row2_col2, #T_fd2f5_row46_col0, #T_fd2f5_row62_col2 {\n",
+ "#T_0aa0a_row2_col2, #T_0aa0a_row46_col0, #T_0aa0a_row62_col2 {\n",
" background-color: #6dfb6d;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row3_col0, #T_fd2f5_row63_col0 {\n",
+ "#T_0aa0a_row3_col0, #T_0aa0a_row63_col0 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row3_col2, #T_fd2f5_row63_col2 {\n",
+ "#T_0aa0a_row3_col2, #T_0aa0a_row63_col2 {\n",
" background-color: #85fa85;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row4_col0, #T_fd2f5_row44_col2 {\n",
+ "#T_0aa0a_row4_col0, #T_0aa0a_row44_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row4_col2, #T_fd2f5_row34_col2, #T_fd2f5_row51_col2 {\n",
+ "#T_0aa0a_row4_col2, #T_0aa0a_row34_col2, #T_0aa0a_row51_col2 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row5_col0, #T_fd2f5_row7_col0 {\n",
+ "#T_0aa0a_row5_col0, #T_0aa0a_row7_col0 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row5_col2, #T_fd2f5_row24_col0 {\n",
+ "#T_0aa0a_row5_col2, #T_0aa0a_row24_col0 {\n",
" background-color: #57fd57;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row6_col0 {\n",
+ "#T_0aa0a_row6_col0 {\n",
" background-color: #aff7af;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row7_col2, #T_fd2f5_row23_col2, #T_fd2f5_row54_col2 {\n",
+ "#T_0aa0a_row7_col2, #T_0aa0a_row23_col2, #T_0aa0a_row54_col2 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row8_col0, #T_fd2f5_row12_col0, #T_fd2f5_row16_col0 {\n",
+ "#T_0aa0a_row8_col0, #T_0aa0a_row12_col0, #T_0aa0a_row16_col0 {\n",
" background-color: #bbf6bb;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row8_col2 {\n",
+ "#T_0aa0a_row8_col2 {\n",
" background-color: #52fd52;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row9_col0 {\n",
+ "#T_0aa0a_row9_col0 {\n",
" background-color: #38ff38;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row9_col2 {\n",
+ "#T_0aa0a_row9_col2 {\n",
" background-color: #ccf5cc;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row10_col0 {\n",
+ "#T_0aa0a_row10_col0 {\n",
" background-color: #abf7ab;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row10_col2, #T_fd2f5_row15_col2, #T_fd2f5_row41_col2 {\n",
+ "#T_0aa0a_row10_col2, #T_0aa0a_row15_col2, #T_0aa0a_row41_col2 {\n",
" background-color: #4cfd4c;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row11_col0, #T_fd2f5_row15_col0, #T_fd2f5_row26_col2 {\n",
+ "#T_0aa0a_row11_col0, #T_0aa0a_row15_col0, #T_0aa0a_row26_col2 {\n",
" background-color: #acf7ac;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row11_col2, #T_fd2f5_row18_col2, #T_fd2f5_row21_col0, #T_fd2f5_row34_col0, #T_fd2f5_row42_col0 {\n",
+ "#T_0aa0a_row11_col2, #T_0aa0a_row18_col2, #T_0aa0a_row21_col0, #T_0aa0a_row34_col0, #T_0aa0a_row42_col0 {\n",
" background-color: #56fd56;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row12_col2 {\n",
+ "#T_0aa0a_row12_col2 {\n",
" background-color: #53fd53;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row13_col0, #T_fd2f5_row47_col2 {\n",
+ "#T_0aa0a_row13_col0, #T_0aa0a_row47_col2 {\n",
" background-color: #a7f7a7;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row13_col2 {\n",
+ "#T_0aa0a_row13_col2 {\n",
" background-color: #47fe47;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row14_col0 {\n",
+ "#T_0aa0a_row14_col0 {\n",
" background-color: #3aff3a;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row14_col2 {\n",
+ "#T_0aa0a_row14_col2 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row16_col2 {\n",
+ "#T_0aa0a_row16_col2 {\n",
" background-color: #4ffd4f;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row17_col0 {\n",
+ "#T_0aa0a_row17_col0 {\n",
" background-color: #a9f7a9;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row17_col2 {\n",
+ "#T_0aa0a_row17_col2 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row18_col0 {\n",
+ "#T_0aa0a_row18_col0 {\n",
" background-color: #a4f8a4;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row19_col0 {\n",
+ "#T_0aa0a_row19_col0 {\n",
" background-color: #40fe40;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row19_col2, #T_fd2f5_row56_col0 {\n",
+ "#T_0aa0a_row19_col2, #T_0aa0a_row56_col0 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row20_col0, #T_fd2f5_row31_col0 {\n",
+ "#T_0aa0a_row20_col0, #T_0aa0a_row31_col0 {\n",
" background-color: #5ffc5f;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row20_col2 {\n",
+ "#T_0aa0a_row20_col2 {\n",
" background-color: #3ffe3f;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row22_col0, #T_fd2f5_row29_col0, #T_fd2f5_row30_col0 {\n",
+ "#T_0aa0a_row22_col0, #T_0aa0a_row29_col0, #T_0aa0a_row30_col0 {\n",
" background-color: #c7f5c7;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row22_col2 {\n",
+ "#T_0aa0a_row22_col2 {\n",
" background-color: #6efb6e;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row23_col0 {\n",
+ "#T_0aa0a_row23_col0 {\n",
" background-color: #cef5ce;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row24_col2 {\n",
+ "#T_0aa0a_row24_col2 {\n",
" background-color: #41fe41;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row25_col0, #T_fd2f5_row35_col0 {\n",
+ "#T_0aa0a_row25_col0, #T_0aa0a_row35_col0 {\n",
" background-color: #caf5ca;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row25_col2, #T_fd2f5_row33_col2 {\n",
+ "#T_0aa0a_row25_col2, #T_0aa0a_row33_col2 {\n",
" background-color: #60fc60;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row26_col0 {\n",
+ "#T_0aa0a_row26_col0 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row27_col0 {\n",
+ "#T_0aa0a_row27_col0 {\n",
" background-color: #cff5cf;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row27_col2 {\n",
+ "#T_0aa0a_row27_col2 {\n",
" background-color: #7cfa7c;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row28_col0, #T_fd2f5_row43_col0 {\n",
+ "#T_0aa0a_row28_col0, #T_0aa0a_row43_col0 {\n",
" background-color: #5bfc5b;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row28_col2 {\n",
+ "#T_0aa0a_row28_col2 {\n",
" background-color: #3bff3b;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row29_col2 {\n",
+ "#T_0aa0a_row29_col2 {\n",
" background-color: #66fc66;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row31_col2 {\n",
+ "#T_0aa0a_row31_col2 {\n",
" background-color: #b1f7b1;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row32_col0, #T_fd2f5_row36_col0, #T_fd2f5_row40_col0 {\n",
+ "#T_0aa0a_row32_col0, #T_0aa0a_row36_col0, #T_0aa0a_row40_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row32_col2 {\n",
+ "#T_0aa0a_row32_col2 {\n",
" background-color: #72fb72;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row33_col0 {\n",
+ "#T_0aa0a_row33_col0 {\n",
" background-color: #58fd58;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row35_col2 {\n",
+ "#T_0aa0a_row35_col2 {\n",
" background-color: #69fc69;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row36_col2 {\n",
+ "#T_0aa0a_row36_col2 {\n",
" background-color: #78fb78;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row37_col0 {\n",
+ "#T_0aa0a_row37_col0 {\n",
" background-color: #55fd55;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row37_col2, #T_fd2f5_row38_col2, #T_fd2f5_row39_col0 {\n",
+ "#T_0aa0a_row37_col2, #T_0aa0a_row38_col2, #T_0aa0a_row39_col0 {\n",
" background-color: #5efc5e;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row38_col0 {\n",
+ "#T_0aa0a_row38_col0 {\n",
" background-color: #c2f6c2;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row39_col2 {\n",
+ "#T_0aa0a_row39_col2 {\n",
" background-color: #98f898;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row40_col2, #T_fd2f5_row45_col2, #T_fd2f5_row49_col2 {\n",
+ "#T_0aa0a_row40_col2, #T_0aa0a_row45_col2, #T_0aa0a_row49_col2 {\n",
" background-color: #6afb6a;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row41_col0 {\n",
+ "#T_0aa0a_row41_col0 {\n",
" background-color: #c1f6c1;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row42_col2, #T_fd2f5_row48_col0 {\n",
+ "#T_0aa0a_row42_col2, #T_0aa0a_row48_col0 {\n",
" background-color: #81fa81;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row44_col0, #T_fd2f5_row55_col2 {\n",
+ "#T_0aa0a_row44_col0, #T_0aa0a_row55_col2 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row45_col0, #T_fd2f5_row49_col0, #T_fd2f5_row54_col0, #T_fd2f5_row59_col2 {\n",
+ "#T_0aa0a_row45_col0, #T_0aa0a_row49_col0, #T_0aa0a_row54_col0, #T_0aa0a_row59_col2 {\n",
" background-color: #74fb74;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row46_col2 {\n",
+ "#T_0aa0a_row46_col2 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row47_col0 {\n",
+ "#T_0aa0a_row47_col0 {\n",
" background-color: #eaf3ea;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row48_col2 {\n",
+ "#T_0aa0a_row48_col2 {\n",
" background-color: #3efe3e;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row50_col0, #T_fd2f5_row53_col0 {\n",
+ "#T_0aa0a_row50_col0, #T_0aa0a_row53_col0 {\n",
" background-color: #e0f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row50_col2 {\n",
+ "#T_0aa0a_row50_col2 {\n",
" background-color: #94f994;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row52_col0 {\n",
+ "#T_0aa0a_row52_col0 {\n",
" background-color: #80fa80;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row52_col2 {\n",
+ "#T_0aa0a_row52_col2 {\n",
" background-color: #37ff37;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row53_col2 {\n",
+ "#T_0aa0a_row53_col2 {\n",
" background-color: #97f897;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row55_col0 {\n",
+ "#T_0aa0a_row55_col0 {\n",
" background-color: #75fb75;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row56_col2 {\n",
+ "#T_0aa0a_row56_col2 {\n",
" background-color: #9ff89f;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row57_col0 {\n",
+ "#T_0aa0a_row57_col0 {\n",
" background-color: #70fb70;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row57_col2 {\n",
+ "#T_0aa0a_row57_col2 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_fd2f5_row58_col0, #T_fd2f5_row58_col2, #T_fd2f5_row59_col0 {\n",
+ "#T_0aa0a_row58_col0, #T_0aa0a_row58_col2, #T_0aa0a_row59_col0 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_fd2f5\">\n",
+ "<table id=\"T_0aa0a\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_fd2f5_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " <th id=\"T_0aa0a_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_fd2f5_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
- " <th id=\"T_fd2f5_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_0aa0a_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_0aa0a_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_fd2f5_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
- " <th id=\"T_fd2f5_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_fd2f5_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
- " <th id=\"T_fd2f5_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_0aa0a_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_0aa0a_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_0aa0a_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_0aa0a_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_fd2f5_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_fd2f5_row0_col0\" class=\"data row0 col0\" >20.36</td>\n",
- " <td id=\"T_fd2f5_row0_col1\" class=\"data row0 col1\" >2.55</td>\n",
- " <td id=\"T_fd2f5_row0_col2\" class=\"data row0 col2\" >21.73</td>\n",
- " <td id=\"T_fd2f5_row0_col3\" class=\"data row0 col3\" >2.65</td>\n",
+ " <th id=\"T_0aa0a_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_0aa0a_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_0aa0a_row0_col0\" class=\"data row0 col0\" >20.36</td>\n",
+ " <td id=\"T_0aa0a_row0_col1\" class=\"data row0 col1\" >2.55</td>\n",
+ " <td id=\"T_0aa0a_row0_col2\" class=\"data row0 col2\" >21.73</td>\n",
+ " <td id=\"T_0aa0a_row0_col3\" class=\"data row0 col3\" >2.65</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_fd2f5_row1_col0\" class=\"data row1 col0\" >22.60</td>\n",
- " <td id=\"T_fd2f5_row1_col1\" class=\"data row1 col1\" >2.42</td>\n",
- " <td id=\"T_fd2f5_row1_col2\" class=\"data row1 col2\" >21.05</td>\n",
- " <td id=\"T_fd2f5_row1_col3\" class=\"data row1 col3\" >3.20</td>\n",
+ " <th id=\"T_0aa0a_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_0aa0a_row1_col0\" class=\"data row1 col0\" >22.60</td>\n",
+ " <td id=\"T_0aa0a_row1_col1\" class=\"data row1 col1\" >2.42</td>\n",
+ " <td id=\"T_0aa0a_row1_col2\" class=\"data row1 col2\" >21.05</td>\n",
+ " <td id=\"T_0aa0a_row1_col3\" class=\"data row1 col3\" >3.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_fd2f5_row2_col0\" class=\"data row2 col0\" >23.32</td>\n",
- " <td id=\"T_fd2f5_row2_col1\" class=\"data row2 col1\" >2.47</td>\n",
- " <td id=\"T_fd2f5_row2_col2\" class=\"data row2 col2\" >21.43</td>\n",
- " <td id=\"T_fd2f5_row2_col3\" class=\"data row2 col3\" >3.30</td>\n",
+ " <th id=\"T_0aa0a_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_0aa0a_row2_col0\" class=\"data row2 col0\" >23.32</td>\n",
+ " <td id=\"T_0aa0a_row2_col1\" class=\"data row2 col1\" >2.47</td>\n",
+ " <td id=\"T_0aa0a_row2_col2\" class=\"data row2 col2\" >21.43</td>\n",
+ " <td id=\"T_0aa0a_row2_col3\" class=\"data row2 col3\" >3.30</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_fd2f5_row3_col0\" class=\"data row3 col0\" >22.21</td>\n",
- " <td id=\"T_fd2f5_row3_col1\" class=\"data row3 col1\" >2.56</td>\n",
- " <td id=\"T_fd2f5_row3_col2\" class=\"data row3 col2\" >20.43</td>\n",
- " <td id=\"T_fd2f5_row3_col3\" class=\"data row3 col3\" >2.89</td>\n",
+ " <th id=\"T_0aa0a_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_0aa0a_row3_col0\" class=\"data row3 col0\" >22.21</td>\n",
+ " <td id=\"T_0aa0a_row3_col1\" class=\"data row3 col1\" >2.56</td>\n",
+ " <td id=\"T_0aa0a_row3_col2\" class=\"data row3 col2\" >20.43</td>\n",
+ " <td id=\"T_0aa0a_row3_col3\" class=\"data row3 col3\" >2.89</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_fd2f5_row4_col0\" class=\"data row4 col0\" >33.25</td>\n",
- " <td id=\"T_fd2f5_row4_col1\" class=\"data row4 col1\" >3.66</td>\n",
- " <td id=\"T_fd2f5_row4_col2\" class=\"data row4 col2\" >19.99</td>\n",
- " <td id=\"T_fd2f5_row4_col3\" class=\"data row4 col3\" >2.91</td>\n",
+ " <th id=\"T_0aa0a_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_0aa0a_row4_col0\" class=\"data row4 col0\" >33.25</td>\n",
+ " <td id=\"T_0aa0a_row4_col1\" class=\"data row4 col1\" >3.66</td>\n",
+ " <td id=\"T_0aa0a_row4_col2\" class=\"data row4 col2\" >19.99</td>\n",
+ " <td id=\"T_0aa0a_row4_col3\" class=\"data row4 col3\" >2.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_fd2f5_row5_col0\" class=\"data row5 col0\" >18.32</td>\n",
- " <td id=\"T_fd2f5_row5_col1\" class=\"data row5 col1\" >3.01</td>\n",
- " <td id=\"T_fd2f5_row5_col2\" class=\"data row5 col2\" >22.29</td>\n",
- " <td id=\"T_fd2f5_row5_col3\" class=\"data row5 col3\" >2.95</td>\n",
+ " <th id=\"T_0aa0a_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_0aa0a_row5_col0\" class=\"data row5 col0\" >18.32</td>\n",
+ " <td id=\"T_0aa0a_row5_col1\" class=\"data row5 col1\" >3.01</td>\n",
+ " <td id=\"T_0aa0a_row5_col2\" class=\"data row5 col2\" >22.29</td>\n",
+ " <td id=\"T_0aa0a_row5_col3\" class=\"data row5 col3\" >2.95</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_fd2f5_row6_col0\" class=\"data row6 col0\" >18.84</td>\n",
- " <td id=\"T_fd2f5_row6_col1\" class=\"data row6 col1\" >2.29</td>\n",
- " <td id=\"T_fd2f5_row6_col2\" class=\"data row6 col2\" >21.72</td>\n",
- " <td id=\"T_fd2f5_row6_col3\" class=\"data row6 col3\" >2.90</td>\n",
+ " <th id=\"T_0aa0a_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_0aa0a_row6_col0\" class=\"data row6 col0\" >18.84</td>\n",
+ " <td id=\"T_0aa0a_row6_col1\" class=\"data row6 col1\" >2.29</td>\n",
+ " <td id=\"T_0aa0a_row6_col2\" class=\"data row6 col2\" >21.72</td>\n",
+ " <td id=\"T_0aa0a_row6_col3\" class=\"data row6 col3\" >2.90</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_fd2f5_row7_col0\" class=\"data row7 col0\" >18.34</td>\n",
- " <td id=\"T_fd2f5_row7_col1\" class=\"data row7 col1\" >2.59</td>\n",
- " <td id=\"T_fd2f5_row7_col2\" class=\"data row7 col2\" >20.86</td>\n",
- " <td id=\"T_fd2f5_row7_col3\" class=\"data row7 col3\" >2.73</td>\n",
+ " <th id=\"T_0aa0a_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_0aa0a_row7_col0\" class=\"data row7 col0\" >18.34</td>\n",
+ " <td id=\"T_0aa0a_row7_col1\" class=\"data row7 col1\" >2.59</td>\n",
+ " <td id=\"T_0aa0a_row7_col2\" class=\"data row7 col2\" >20.86</td>\n",
+ " <td id=\"T_0aa0a_row7_col3\" class=\"data row7 col3\" >2.73</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_fd2f5_row8_col0\" class=\"data row8 col0\" >17.48</td>\n",
- " <td id=\"T_fd2f5_row8_col1\" class=\"data row8 col1\" >2.50</td>\n",
- " <td id=\"T_fd2f5_row8_col2\" class=\"data row8 col2\" >22.49</td>\n",
- " <td id=\"T_fd2f5_row8_col3\" class=\"data row8 col3\" >2.51</td>\n",
+ " <th id=\"T_0aa0a_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_0aa0a_row8_col0\" class=\"data row8 col0\" >17.48</td>\n",
+ " <td id=\"T_0aa0a_row8_col1\" class=\"data row8 col1\" >2.50</td>\n",
+ " <td id=\"T_0aa0a_row8_col2\" class=\"data row8 col2\" >22.49</td>\n",
+ " <td id=\"T_0aa0a_row8_col3\" class=\"data row8 col3\" >2.51</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_fd2f5_row9_col0\" class=\"data row9 col0\" >32.71</td>\n",
- " <td id=\"T_fd2f5_row9_col1\" class=\"data row9 col1\" >3.56</td>\n",
- " <td id=\"T_fd2f5_row9_col2\" class=\"data row9 col2\" >17.56</td>\n",
- " <td id=\"T_fd2f5_row9_col3\" class=\"data row9 col3\" >3.31</td>\n",
+ " <th id=\"T_0aa0a_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_0aa0a_row9_col0\" class=\"data row9 col0\" >32.71</td>\n",
+ " <td id=\"T_0aa0a_row9_col1\" class=\"data row9 col1\" >3.56</td>\n",
+ " <td id=\"T_0aa0a_row9_col2\" class=\"data row9 col2\" >17.56</td>\n",
+ " <td id=\"T_0aa0a_row9_col3\" class=\"data row9 col3\" >3.31</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_fd2f5_row10_col0\" class=\"data row10 col0\" >19.34</td>\n",
- " <td id=\"T_fd2f5_row10_col1\" class=\"data row10 col1\" >2.24</td>\n",
- " <td id=\"T_fd2f5_row10_col2\" class=\"data row10 col2\" >22.72</td>\n",
- " <td id=\"T_fd2f5_row10_col3\" class=\"data row10 col3\" >2.85</td>\n",
+ " <th id=\"T_0aa0a_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_0aa0a_row10_col0\" class=\"data row10 col0\" >19.34</td>\n",
+ " <td id=\"T_0aa0a_row10_col1\" class=\"data row10 col1\" >2.24</td>\n",
+ " <td id=\"T_0aa0a_row10_col2\" class=\"data row10 col2\" >22.72</td>\n",
+ " <td id=\"T_0aa0a_row10_col3\" class=\"data row10 col3\" >2.85</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_fd2f5_row11_col0\" class=\"data row11 col0\" >19.17</td>\n",
- " <td id=\"T_fd2f5_row11_col1\" class=\"data row11 col1\" >2.30</td>\n",
- " <td id=\"T_fd2f5_row11_col2\" class=\"data row11 col2\" >22.34</td>\n",
- " <td id=\"T_fd2f5_row11_col3\" class=\"data row11 col3\" >2.75</td>\n",
+ " <th id=\"T_0aa0a_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_0aa0a_row11_col0\" class=\"data row11 col0\" >19.17</td>\n",
+ " <td id=\"T_0aa0a_row11_col1\" class=\"data row11 col1\" >2.30</td>\n",
+ " <td id=\"T_0aa0a_row11_col2\" class=\"data row11 col2\" >22.34</td>\n",
+ " <td id=\"T_0aa0a_row11_col3\" class=\"data row11 col3\" >2.75</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_fd2f5_row12_col0\" class=\"data row12 col0\" >17.39</td>\n",
- " <td id=\"T_fd2f5_row12_col1\" class=\"data row12 col1\" >2.52</td>\n",
- " <td id=\"T_fd2f5_row12_col2\" class=\"data row12 col2\" >22.42</td>\n",
- " <td id=\"T_fd2f5_row12_col3\" class=\"data row12 col3\" >2.48</td>\n",
+ " <th id=\"T_0aa0a_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_0aa0a_row12_col0\" class=\"data row12 col0\" >17.39</td>\n",
+ " <td id=\"T_0aa0a_row12_col1\" class=\"data row12 col1\" >2.52</td>\n",
+ " <td id=\"T_0aa0a_row12_col2\" class=\"data row12 col2\" >22.42</td>\n",
+ " <td id=\"T_0aa0a_row12_col3\" class=\"data row12 col3\" >2.48</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_fd2f5_row13_col0\" class=\"data row13 col0\" >19.84</td>\n",
- " <td id=\"T_fd2f5_row13_col1\" class=\"data row13 col1\" >2.73</td>\n",
- " <td id=\"T_fd2f5_row13_col2\" class=\"data row13 col2\" >22.90</td>\n",
- " <td id=\"T_fd2f5_row13_col3\" class=\"data row13 col3\" >2.65</td>\n",
+ " <th id=\"T_0aa0a_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_0aa0a_row13_col0\" class=\"data row13 col0\" >19.84</td>\n",
+ " <td id=\"T_0aa0a_row13_col1\" class=\"data row13 col1\" >2.73</td>\n",
+ " <td id=\"T_0aa0a_row13_col2\" class=\"data row13 col2\" >22.90</td>\n",
+ " <td id=\"T_0aa0a_row13_col3\" class=\"data row13 col3\" >2.65</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_fd2f5_row14_col0\" class=\"data row14 col0\" >32.41</td>\n",
- " <td id=\"T_fd2f5_row14_col1\" class=\"data row14 col1\" >4.16</td>\n",
- " <td id=\"T_fd2f5_row14_col2\" class=\"data row14 col2\" >16.64</td>\n",
- " <td id=\"T_fd2f5_row14_col3\" class=\"data row14 col3\" >2.96</td>\n",
+ " <th id=\"T_0aa0a_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_0aa0a_row14_col0\" class=\"data row14 col0\" >32.41</td>\n",
+ " <td id=\"T_0aa0a_row14_col1\" class=\"data row14 col1\" >4.16</td>\n",
+ " <td id=\"T_0aa0a_row14_col2\" class=\"data row14 col2\" >16.64</td>\n",
+ " <td id=\"T_0aa0a_row14_col3\" class=\"data row14 col3\" >2.96</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_fd2f5_row15_col0\" class=\"data row15 col0\" >19.26</td>\n",
- " <td id=\"T_fd2f5_row15_col1\" class=\"data row15 col1\" >2.50</td>\n",
- " <td id=\"T_fd2f5_row15_col2\" class=\"data row15 col2\" >22.73</td>\n",
- " <td id=\"T_fd2f5_row15_col3\" class=\"data row15 col3\" >2.83</td>\n",
+ " <th id=\"T_0aa0a_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_0aa0a_row15_col0\" class=\"data row15 col0\" >19.26</td>\n",
+ " <td id=\"T_0aa0a_row15_col1\" class=\"data row15 col1\" >2.50</td>\n",
+ " <td id=\"T_0aa0a_row15_col2\" class=\"data row15 col2\" >22.73</td>\n",
+ " <td id=\"T_0aa0a_row15_col3\" class=\"data row15 col3\" >2.83</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_fd2f5_row16_col0\" class=\"data row16 col0\" >17.49</td>\n",
- " <td id=\"T_fd2f5_row16_col1\" class=\"data row16 col1\" >2.53</td>\n",
- " <td id=\"T_fd2f5_row16_col2\" class=\"data row16 col2\" >22.60</td>\n",
- " <td id=\"T_fd2f5_row16_col3\" class=\"data row16 col3\" >2.54</td>\n",
+ " <th id=\"T_0aa0a_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_0aa0a_row16_col0\" class=\"data row16 col0\" >17.49</td>\n",
+ " <td id=\"T_0aa0a_row16_col1\" class=\"data row16 col1\" >2.53</td>\n",
+ " <td id=\"T_0aa0a_row16_col2\" class=\"data row16 col2\" >22.60</td>\n",
+ " <td id=\"T_0aa0a_row16_col3\" class=\"data row16 col3\" >2.54</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_fd2f5_row17_col0\" class=\"data row17 col0\" >19.58</td>\n",
- " <td id=\"T_fd2f5_row17_col1\" class=\"data row17 col1\" >2.49</td>\n",
- " <td id=\"T_fd2f5_row17_col2\" class=\"data row17 col2\" >23.36</td>\n",
- " <td id=\"T_fd2f5_row17_col3\" class=\"data row17 col3\" >2.92</td>\n",
+ " <th id=\"T_0aa0a_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_0aa0a_row17_col0\" class=\"data row17 col0\" >19.58</td>\n",
+ " <td id=\"T_0aa0a_row17_col1\" class=\"data row17 col1\" >2.49</td>\n",
+ " <td id=\"T_0aa0a_row17_col2\" class=\"data row17 col2\" >23.36</td>\n",
+ " <td id=\"T_0aa0a_row17_col3\" class=\"data row17 col3\" >2.92</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_fd2f5_row18_col0\" class=\"data row18 col0\" >20.05</td>\n",
- " <td id=\"T_fd2f5_row18_col1\" class=\"data row18 col1\" >2.66</td>\n",
- " <td id=\"T_fd2f5_row18_col2\" class=\"data row18 col2\" >22.34</td>\n",
- " <td id=\"T_fd2f5_row18_col3\" class=\"data row18 col3\" >3.29</td>\n",
+ " <th id=\"T_0aa0a_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_0aa0a_row18_col0\" class=\"data row18 col0\" >20.05</td>\n",
+ " <td id=\"T_0aa0a_row18_col1\" class=\"data row18 col1\" >2.66</td>\n",
+ " <td id=\"T_0aa0a_row18_col2\" class=\"data row18 col2\" >22.34</td>\n",
+ " <td id=\"T_0aa0a_row18_col3\" class=\"data row18 col3\" >3.29</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_fd2f5_row19_col0\" class=\"data row19 col0\" >31.82</td>\n",
- " <td id=\"T_fd2f5_row19_col1\" class=\"data row19 col1\" >3.70</td>\n",
- " <td id=\"T_fd2f5_row19_col2\" class=\"data row19 col2\" >16.33</td>\n",
- " <td id=\"T_fd2f5_row19_col3\" class=\"data row19 col3\" >3.24</td>\n",
+ " <th id=\"T_0aa0a_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_0aa0a_row19_col0\" class=\"data row19 col0\" >31.82</td>\n",
+ " <td id=\"T_0aa0a_row19_col1\" class=\"data row19 col1\" >3.70</td>\n",
+ " <td id=\"T_0aa0a_row19_col2\" class=\"data row19 col2\" >16.33</td>\n",
+ " <td id=\"T_0aa0a_row19_col3\" class=\"data row19 col3\" >3.24</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_fd2f5_row20_col0\" class=\"data row20 col0\" >28.14</td>\n",
- " <td id=\"T_fd2f5_row20_col1\" class=\"data row20 col1\" >2.91</td>\n",
- " <td id=\"T_fd2f5_row20_col2\" class=\"data row20 col2\" >23.23</td>\n",
- " <td id=\"T_fd2f5_row20_col3\" class=\"data row20 col3\" >3.27</td>\n",
+ " <th id=\"T_0aa0a_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_0aa0a_row20_col0\" class=\"data row20 col0\" >28.14</td>\n",
+ " <td id=\"T_0aa0a_row20_col1\" class=\"data row20 col1\" >2.91</td>\n",
+ " <td id=\"T_0aa0a_row20_col2\" class=\"data row20 col2\" >23.23</td>\n",
+ " <td id=\"T_0aa0a_row20_col3\" class=\"data row20 col3\" >3.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_fd2f5_row21_col0\" class=\"data row21 col0\" >29.26</td>\n",
- " <td id=\"T_fd2f5_row21_col1\" class=\"data row21 col1\" >3.02</td>\n",
- " <td id=\"T_fd2f5_row21_col2\" class=\"data row21 col2\" >19.27</td>\n",
- " <td id=\"T_fd2f5_row21_col3\" class=\"data row21 col3\" >3.40</td>\n",
+ " <th id=\"T_0aa0a_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_0aa0a_row21_col0\" class=\"data row21 col0\" >29.26</td>\n",
+ " <td id=\"T_0aa0a_row21_col1\" class=\"data row21 col1\" >3.02</td>\n",
+ " <td id=\"T_0aa0a_row21_col2\" class=\"data row21 col2\" >19.27</td>\n",
+ " <td id=\"T_0aa0a_row21_col3\" class=\"data row21 col3\" >3.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_fd2f5_row22_col0\" class=\"data row22 col0\" >15.93</td>\n",
- " <td id=\"T_fd2f5_row22_col1\" class=\"data row22 col1\" >2.56</td>\n",
- " <td id=\"T_fd2f5_row22_col2\" class=\"data row22 col2\" >21.37</td>\n",
- " <td id=\"T_fd2f5_row22_col3\" class=\"data row22 col3\" >2.98</td>\n",
+ " <th id=\"T_0aa0a_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_0aa0a_row22_col0\" class=\"data row22 col0\" >15.93</td>\n",
+ " <td id=\"T_0aa0a_row22_col1\" class=\"data row22 col1\" >2.56</td>\n",
+ " <td id=\"T_0aa0a_row22_col2\" class=\"data row22 col2\" >21.37</td>\n",
+ " <td id=\"T_0aa0a_row22_col3\" class=\"data row22 col3\" >2.98</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_fd2f5_row23_col0\" class=\"data row23 col0\" >15.21</td>\n",
- " <td id=\"T_fd2f5_row23_col1\" class=\"data row23 col1\" >2.29</td>\n",
- " <td id=\"T_fd2f5_row23_col2\" class=\"data row23 col2\" >20.87</td>\n",
- " <td id=\"T_fd2f5_row23_col3\" class=\"data row23 col3\" >2.58</td>\n",
+ " <th id=\"T_0aa0a_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_0aa0a_row23_col0\" class=\"data row23 col0\" >15.21</td>\n",
+ " <td id=\"T_0aa0a_row23_col1\" class=\"data row23 col1\" >2.29</td>\n",
+ " <td id=\"T_0aa0a_row23_col2\" class=\"data row23 col2\" >20.87</td>\n",
+ " <td id=\"T_0aa0a_row23_col3\" class=\"data row23 col3\" >2.58</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_fd2f5_row24_col0\" class=\"data row24 col0\" >29.11</td>\n",
- " <td id=\"T_fd2f5_row24_col1\" class=\"data row24 col1\" >3.24</td>\n",
- " <td id=\"T_fd2f5_row24_col2\" class=\"data row24 col2\" >23.18</td>\n",
- " <td id=\"T_fd2f5_row24_col3\" class=\"data row24 col3\" >3.18</td>\n",
+ " <th id=\"T_0aa0a_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_0aa0a_row24_col0\" class=\"data row24 col0\" >29.11</td>\n",
+ " <td id=\"T_0aa0a_row24_col1\" class=\"data row24 col1\" >3.24</td>\n",
+ " <td id=\"T_0aa0a_row24_col2\" class=\"data row24 col2\" >23.18</td>\n",
+ " <td id=\"T_0aa0a_row24_col3\" class=\"data row24 col3\" >3.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_fd2f5_row25_col0\" class=\"data row25 col0\" >15.71</td>\n",
- " <td id=\"T_fd2f5_row25_col1\" class=\"data row25 col1\" >2.52</td>\n",
- " <td id=\"T_fd2f5_row25_col2\" class=\"data row25 col2\" >21.92</td>\n",
- " <td id=\"T_fd2f5_row25_col3\" class=\"data row25 col3\" >2.57</td>\n",
+ " <th id=\"T_0aa0a_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_0aa0a_row25_col0\" class=\"data row25 col0\" >15.71</td>\n",
+ " <td id=\"T_0aa0a_row25_col1\" class=\"data row25 col1\" >2.52</td>\n",
+ " <td id=\"T_0aa0a_row25_col2\" class=\"data row25 col2\" >21.92</td>\n",
+ " <td id=\"T_0aa0a_row25_col3\" class=\"data row25 col3\" >2.57</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_fd2f5_row26_col0\" class=\"data row26 col0\" >28.90</td>\n",
- " <td id=\"T_fd2f5_row26_col1\" class=\"data row26 col1\" >3.17</td>\n",
- " <td id=\"T_fd2f5_row26_col2\" class=\"data row26 col2\" >18.87</td>\n",
- " <td id=\"T_fd2f5_row26_col3\" class=\"data row26 col3\" >3.35</td>\n",
+ " <th id=\"T_0aa0a_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_0aa0a_row26_col0\" class=\"data row26 col0\" >28.90</td>\n",
+ " <td id=\"T_0aa0a_row26_col1\" class=\"data row26 col1\" >3.17</td>\n",
+ " <td id=\"T_0aa0a_row26_col2\" class=\"data row26 col2\" >18.87</td>\n",
+ " <td id=\"T_0aa0a_row26_col3\" class=\"data row26 col3\" >3.35</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_fd2f5_row27_col0\" class=\"data row27 col0\" >15.08</td>\n",
- " <td id=\"T_fd2f5_row27_col1\" class=\"data row27 col1\" >2.27</td>\n",
- " <td id=\"T_fd2f5_row27_col2\" class=\"data row27 col2\" >20.81</td>\n",
- " <td id=\"T_fd2f5_row27_col3\" class=\"data row27 col3\" >2.57</td>\n",
+ " <th id=\"T_0aa0a_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_0aa0a_row27_col0\" class=\"data row27 col0\" >15.08</td>\n",
+ " <td id=\"T_0aa0a_row27_col1\" class=\"data row27 col1\" >2.27</td>\n",
+ " <td id=\"T_0aa0a_row27_col2\" class=\"data row27 col2\" >20.81</td>\n",
+ " <td id=\"T_0aa0a_row27_col3\" class=\"data row27 col3\" >2.57</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_fd2f5_row28_col0\" class=\"data row28 col0\" >28.56</td>\n",
- " <td id=\"T_fd2f5_row28_col1\" class=\"data row28 col1\" >3.15</td>\n",
- " <td id=\"T_fd2f5_row28_col2\" class=\"data row28 col2\" >23.41</td>\n",
- " <td id=\"T_fd2f5_row28_col3\" class=\"data row28 col3\" >3.22</td>\n",
+ " <th id=\"T_0aa0a_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_0aa0a_row28_col0\" class=\"data row28 col0\" >28.56</td>\n",
+ " <td id=\"T_0aa0a_row28_col1\" class=\"data row28 col1\" >3.15</td>\n",
+ " <td id=\"T_0aa0a_row28_col2\" class=\"data row28 col2\" >23.41</td>\n",
+ " <td id=\"T_0aa0a_row28_col3\" class=\"data row28 col3\" >3.22</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_fd2f5_row29_col0\" class=\"data row29 col0\" >15.94</td>\n",
- " <td id=\"T_fd2f5_row29_col1\" class=\"data row29 col1\" >2.53</td>\n",
- " <td id=\"T_fd2f5_row29_col2\" class=\"data row29 col2\" >21.68</td>\n",
- " <td id=\"T_fd2f5_row29_col3\" class=\"data row29 col3\" >2.45</td>\n",
+ " <th id=\"T_0aa0a_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_0aa0a_row29_col0\" class=\"data row29 col0\" >15.94</td>\n",
+ " <td id=\"T_0aa0a_row29_col1\" class=\"data row29 col1\" >2.53</td>\n",
+ " <td id=\"T_0aa0a_row29_col2\" class=\"data row29 col2\" >21.68</td>\n",
+ " <td id=\"T_0aa0a_row29_col3\" class=\"data row29 col3\" >2.45</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_fd2f5_row30_col0\" class=\"data row30 col0\" >16.02</td>\n",
- " <td id=\"T_fd2f5_row30_col1\" class=\"data row30 col1\" >2.40</td>\n",
- " <td id=\"T_fd2f5_row30_col2\" class=\"data row30 col2\" >21.05</td>\n",
- " <td id=\"T_fd2f5_row30_col3\" class=\"data row30 col3\" >2.47</td>\n",
+ " <th id=\"T_0aa0a_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_0aa0a_row30_col0\" class=\"data row30 col0\" >16.02</td>\n",
+ " <td id=\"T_0aa0a_row30_col1\" class=\"data row30 col1\" >2.40</td>\n",
+ " <td id=\"T_0aa0a_row30_col2\" class=\"data row30 col2\" >21.05</td>\n",
+ " <td id=\"T_0aa0a_row30_col3\" class=\"data row30 col3\" >2.47</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_fd2f5_row31_col0\" class=\"data row31 col0\" >28.16</td>\n",
- " <td id=\"T_fd2f5_row31_col1\" class=\"data row31 col1\" >3.29</td>\n",
- " <td id=\"T_fd2f5_row31_col2\" class=\"data row31 col2\" >18.65</td>\n",
- " <td id=\"T_fd2f5_row31_col3\" class=\"data row31 col3\" >3.51</td>\n",
+ " <th id=\"T_0aa0a_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_0aa0a_row31_col0\" class=\"data row31 col0\" >28.16</td>\n",
+ " <td id=\"T_0aa0a_row31_col1\" class=\"data row31 col1\" >3.29</td>\n",
+ " <td id=\"T_0aa0a_row31_col2\" class=\"data row31 col2\" >18.65</td>\n",
+ " <td id=\"T_0aa0a_row31_col3\" class=\"data row31 col3\" >3.51</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_fd2f5_row32_col0\" class=\"data row32 col0\" >14.55</td>\n",
- " <td id=\"T_fd2f5_row32_col1\" class=\"data row32 col1\" >2.10</td>\n",
- " <td id=\"T_fd2f5_row32_col2\" class=\"data row32 col2\" >21.19</td>\n",
- " <td id=\"T_fd2f5_row32_col3\" class=\"data row32 col3\" >2.54</td>\n",
+ " <th id=\"T_0aa0a_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_0aa0a_row32_col0\" class=\"data row32 col0\" >14.55</td>\n",
+ " <td id=\"T_0aa0a_row32_col1\" class=\"data row32 col1\" >2.10</td>\n",
+ " <td id=\"T_0aa0a_row32_col2\" class=\"data row32 col2\" >21.19</td>\n",
+ " <td id=\"T_0aa0a_row32_col3\" class=\"data row32 col3\" >2.54</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_fd2f5_row33_col0\" class=\"data row33 col0\" >29.00</td>\n",
- " <td id=\"T_fd2f5_row33_col1\" class=\"data row33 col1\" >2.89</td>\n",
- " <td id=\"T_fd2f5_row33_col2\" class=\"data row33 col2\" >21.92</td>\n",
- " <td id=\"T_fd2f5_row33_col3\" class=\"data row33 col3\" >3.52</td>\n",
+ " <th id=\"T_0aa0a_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_0aa0a_row33_col0\" class=\"data row33 col0\" >29.00</td>\n",
+ " <td id=\"T_0aa0a_row33_col1\" class=\"data row33 col1\" >2.89</td>\n",
+ " <td id=\"T_0aa0a_row33_col2\" class=\"data row33 col2\" >21.92</td>\n",
+ " <td id=\"T_0aa0a_row33_col3\" class=\"data row33 col3\" >3.52</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_fd2f5_row34_col0\" class=\"data row34 col0\" >29.29</td>\n",
- " <td id=\"T_fd2f5_row34_col1\" class=\"data row34 col1\" >3.26</td>\n",
- " <td id=\"T_fd2f5_row34_col2\" class=\"data row34 col2\" >19.97</td>\n",
- " <td id=\"T_fd2f5_row34_col3\" class=\"data row34 col3\" >3.20</td>\n",
+ " <th id=\"T_0aa0a_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_0aa0a_row34_col0\" class=\"data row34 col0\" >29.29</td>\n",
+ " <td id=\"T_0aa0a_row34_col1\" class=\"data row34 col1\" >3.26</td>\n",
+ " <td id=\"T_0aa0a_row34_col2\" class=\"data row34 col2\" >19.97</td>\n",
+ " <td id=\"T_0aa0a_row34_col3\" class=\"data row34 col3\" >3.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_fd2f5_row35_col0\" class=\"data row35 col0\" >15.68</td>\n",
- " <td id=\"T_fd2f5_row35_col1\" class=\"data row35 col1\" >2.47</td>\n",
- " <td id=\"T_fd2f5_row35_col2\" class=\"data row35 col2\" >21.58</td>\n",
- " <td id=\"T_fd2f5_row35_col3\" class=\"data row35 col3\" >2.43</td>\n",
+ " <th id=\"T_0aa0a_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_0aa0a_row35_col0\" class=\"data row35 col0\" >15.68</td>\n",
+ " <td id=\"T_0aa0a_row35_col1\" class=\"data row35 col1\" >2.47</td>\n",
+ " <td id=\"T_0aa0a_row35_col2\" class=\"data row35 col2\" >21.58</td>\n",
+ " <td id=\"T_0aa0a_row35_col3\" class=\"data row35 col3\" >2.43</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_fd2f5_row36_col0\" class=\"data row36 col0\" >14.48</td>\n",
- " <td id=\"T_fd2f5_row36_col1\" class=\"data row36 col1\" >2.59</td>\n",
- " <td id=\"T_fd2f5_row36_col2\" class=\"data row36 col2\" >20.96</td>\n",
- " <td id=\"T_fd2f5_row36_col3\" class=\"data row36 col3\" >2.53</td>\n",
+ " <th id=\"T_0aa0a_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_0aa0a_row36_col0\" class=\"data row36 col0\" >14.48</td>\n",
+ " <td id=\"T_0aa0a_row36_col1\" class=\"data row36 col1\" >2.59</td>\n",
+ " <td id=\"T_0aa0a_row36_col2\" class=\"data row36 col2\" >20.96</td>\n",
+ " <td id=\"T_0aa0a_row36_col3\" class=\"data row36 col3\" >2.53</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_fd2f5_row37_col0\" class=\"data row37 col0\" >29.37</td>\n",
- " <td id=\"T_fd2f5_row37_col1\" class=\"data row37 col1\" >3.10</td>\n",
- " <td id=\"T_fd2f5_row37_col2\" class=\"data row37 col2\" >22.03</td>\n",
- " <td id=\"T_fd2f5_row37_col3\" class=\"data row37 col3\" >3.14</td>\n",
+ " <th id=\"T_0aa0a_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_0aa0a_row37_col0\" class=\"data row37 col0\" >29.37</td>\n",
+ " <td id=\"T_0aa0a_row37_col1\" class=\"data row37 col1\" >3.10</td>\n",
+ " <td id=\"T_0aa0a_row37_col2\" class=\"data row37 col2\" >22.03</td>\n",
+ " <td id=\"T_0aa0a_row37_col3\" class=\"data row37 col3\" >3.14</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_fd2f5_row38_col0\" class=\"data row38 col0\" >16.56</td>\n",
- " <td id=\"T_fd2f5_row38_col1\" class=\"data row38 col1\" >2.65</td>\n",
- " <td id=\"T_fd2f5_row38_col2\" class=\"data row38 col2\" >22.04</td>\n",
- " <td id=\"T_fd2f5_row38_col3\" class=\"data row38 col3\" >2.47</td>\n",
+ " <th id=\"T_0aa0a_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_0aa0a_row38_col0\" class=\"data row38 col0\" >16.56</td>\n",
+ " <td id=\"T_0aa0a_row38_col1\" class=\"data row38 col1\" >2.65</td>\n",
+ " <td id=\"T_0aa0a_row38_col2\" class=\"data row38 col2\" >22.04</td>\n",
+ " <td id=\"T_0aa0a_row38_col3\" class=\"data row38 col3\" >2.47</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_fd2f5_row39_col0\" class=\"data row39 col0\" >28.26</td>\n",
- " <td id=\"T_fd2f5_row39_col1\" class=\"data row39 col1\" >3.15</td>\n",
- " <td id=\"T_fd2f5_row39_col2\" class=\"data row39 col2\" >19.66</td>\n",
- " <td id=\"T_fd2f5_row39_col3\" class=\"data row39 col3\" >3.32</td>\n",
+ " <th id=\"T_0aa0a_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_0aa0a_row39_col0\" class=\"data row39 col0\" >28.26</td>\n",
+ " <td id=\"T_0aa0a_row39_col1\" class=\"data row39 col1\" >3.15</td>\n",
+ " <td id=\"T_0aa0a_row39_col2\" class=\"data row39 col2\" >19.66</td>\n",
+ " <td id=\"T_0aa0a_row39_col3\" class=\"data row39 col3\" >3.32</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_fd2f5_row40_col0\" class=\"data row40 col0\" >14.50</td>\n",
- " <td id=\"T_fd2f5_row40_col1\" class=\"data row40 col1\" >2.41</td>\n",
- " <td id=\"T_fd2f5_row40_col2\" class=\"data row40 col2\" >21.49</td>\n",
- " <td id=\"T_fd2f5_row40_col3\" class=\"data row40 col3\" >2.44</td>\n",
+ " <th id=\"T_0aa0a_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_0aa0a_row40_col0\" class=\"data row40 col0\" >14.50</td>\n",
+ " <td id=\"T_0aa0a_row40_col1\" class=\"data row40 col1\" >2.41</td>\n",
+ " <td id=\"T_0aa0a_row40_col2\" class=\"data row40 col2\" >21.49</td>\n",
+ " <td id=\"T_0aa0a_row40_col3\" class=\"data row40 col3\" >2.44</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_fd2f5_row41_col0\" class=\"data row41 col0\" >16.67</td>\n",
- " <td id=\"T_fd2f5_row41_col1\" class=\"data row41 col1\" >2.54</td>\n",
- " <td id=\"T_fd2f5_row41_col2\" class=\"data row41 col2\" >22.70</td>\n",
- " <td id=\"T_fd2f5_row41_col3\" class=\"data row41 col3\" >2.73</td>\n",
+ " <th id=\"T_0aa0a_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_0aa0a_row41_col0\" class=\"data row41 col0\" >16.67</td>\n",
+ " <td id=\"T_0aa0a_row41_col1\" class=\"data row41 col1\" >2.54</td>\n",
+ " <td id=\"T_0aa0a_row41_col2\" class=\"data row41 col2\" >22.70</td>\n",
+ " <td id=\"T_0aa0a_row41_col3\" class=\"data row41 col3\" >2.73</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_fd2f5_row42_col0\" class=\"data row42 col0\" >29.18</td>\n",
- " <td id=\"T_fd2f5_row42_col1\" class=\"data row42 col1\" >2.98</td>\n",
- " <td id=\"T_fd2f5_row42_col2\" class=\"data row42 col2\" >20.58</td>\n",
- " <td id=\"T_fd2f5_row42_col3\" class=\"data row42 col3\" >2.80</td>\n",
+ " <th id=\"T_0aa0a_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_0aa0a_row42_col0\" class=\"data row42 col0\" >29.18</td>\n",
+ " <td id=\"T_0aa0a_row42_col1\" class=\"data row42 col1\" >2.98</td>\n",
+ " <td id=\"T_0aa0a_row42_col2\" class=\"data row42 col2\" >20.58</td>\n",
+ " <td id=\"T_0aa0a_row42_col3\" class=\"data row42 col3\" >2.80</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_fd2f5_row43_col0\" class=\"data row43 col0\" >28.57</td>\n",
- " <td id=\"T_fd2f5_row43_col1\" class=\"data row43 col1\" >3.03</td>\n",
- " <td id=\"T_fd2f5_row43_col2\" class=\"data row43 col2\" >20.04</td>\n",
- " <td id=\"T_fd2f5_row43_col3\" class=\"data row43 col3\" >3.49</td>\n",
+ " <th id=\"T_0aa0a_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_0aa0a_row43_col0\" class=\"data row43 col0\" >28.57</td>\n",
+ " <td id=\"T_0aa0a_row43_col1\" class=\"data row43 col1\" >3.03</td>\n",
+ " <td id=\"T_0aa0a_row43_col2\" class=\"data row43 col2\" >20.04</td>\n",
+ " <td id=\"T_0aa0a_row43_col3\" class=\"data row43 col3\" >3.49</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_fd2f5_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_fd2f5_row44_col0\" class=\"data row44 col0\" >24.48</td>\n",
- " <td id=\"T_fd2f5_row44_col1\" class=\"data row44 col1\" >2.52</td>\n",
- " <td id=\"T_fd2f5_row44_col2\" class=\"data row44 col2\" >23.71</td>\n",
- " <td id=\"T_fd2f5_row44_col3\" class=\"data row44 col3\" >3.07</td>\n",
+ " <th id=\"T_0aa0a_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_0aa0a_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_0aa0a_row44_col0\" class=\"data row44 col0\" >24.48</td>\n",
+ " <td id=\"T_0aa0a_row44_col1\" class=\"data row44 col1\" >2.52</td>\n",
+ " <td id=\"T_0aa0a_row44_col2\" class=\"data row44 col2\" >23.71</td>\n",
+ " <td id=\"T_0aa0a_row44_col3\" class=\"data row44 col3\" >3.07</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_fd2f5_row45_col0\" class=\"data row45 col0\" >25.73</td>\n",
- " <td id=\"T_fd2f5_row45_col1\" class=\"data row45 col1\" >3.03</td>\n",
- " <td id=\"T_fd2f5_row45_col2\" class=\"data row45 col2\" >21.53</td>\n",
- " <td id=\"T_fd2f5_row45_col3\" class=\"data row45 col3\" >3.02</td>\n",
+ " <th id=\"T_0aa0a_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_0aa0a_row45_col0\" class=\"data row45 col0\" >25.73</td>\n",
+ " <td id=\"T_0aa0a_row45_col1\" class=\"data row45 col1\" >3.03</td>\n",
+ " <td id=\"T_0aa0a_row45_col2\" class=\"data row45 col2\" >21.53</td>\n",
+ " <td id=\"T_0aa0a_row45_col3\" class=\"data row45 col3\" >3.02</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_fd2f5_row46_col0\" class=\"data row46 col0\" >26.49</td>\n",
- " <td id=\"T_fd2f5_row46_col1\" class=\"data row46 col1\" >2.36</td>\n",
- " <td id=\"T_fd2f5_row46_col2\" class=\"data row46 col2\" >20.52</td>\n",
- " <td id=\"T_fd2f5_row46_col3\" class=\"data row46 col3\" >3.20</td>\n",
+ " <th id=\"T_0aa0a_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_0aa0a_row46_col0\" class=\"data row46 col0\" >26.49</td>\n",
+ " <td id=\"T_0aa0a_row46_col1\" class=\"data row46 col1\" >2.36</td>\n",
+ " <td id=\"T_0aa0a_row46_col2\" class=\"data row46 col2\" >20.52</td>\n",
+ " <td id=\"T_0aa0a_row46_col3\" class=\"data row46 col3\" >3.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_fd2f5_row47_col0\" class=\"data row47 col0\" >11.91</td>\n",
- " <td id=\"T_fd2f5_row47_col1\" class=\"data row47 col1\" >2.17</td>\n",
- " <td id=\"T_fd2f5_row47_col2\" class=\"data row47 col2\" >19.06</td>\n",
- " <td id=\"T_fd2f5_row47_col3\" class=\"data row47 col3\" >2.63</td>\n",
+ " <th id=\"T_0aa0a_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_0aa0a_row47_col0\" class=\"data row47 col0\" >11.91</td>\n",
+ " <td id=\"T_0aa0a_row47_col1\" class=\"data row47 col1\" >2.17</td>\n",
+ " <td id=\"T_0aa0a_row47_col2\" class=\"data row47 col2\" >19.06</td>\n",
+ " <td id=\"T_0aa0a_row47_col3\" class=\"data row47 col3\" >2.63</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_fd2f5_row48_col0\" class=\"data row48 col0\" >24.18</td>\n",
- " <td id=\"T_fd2f5_row48_col1\" class=\"data row48 col1\" >2.47</td>\n",
- " <td id=\"T_fd2f5_row48_col2\" class=\"data row48 col2\" >23.30</td>\n",
- " <td id=\"T_fd2f5_row48_col3\" class=\"data row48 col3\" >2.54</td>\n",
+ " <th id=\"T_0aa0a_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_0aa0a_row48_col0\" class=\"data row48 col0\" >24.18</td>\n",
+ " <td id=\"T_0aa0a_row48_col1\" class=\"data row48 col1\" >2.47</td>\n",
+ " <td id=\"T_0aa0a_row48_col2\" class=\"data row48 col2\" >23.30</td>\n",
+ " <td id=\"T_0aa0a_row48_col3\" class=\"data row48 col3\" >2.54</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_fd2f5_row49_col0\" class=\"data row49 col0\" >25.74</td>\n",
- " <td id=\"T_fd2f5_row49_col1\" class=\"data row49 col1\" >3.00</td>\n",
- " <td id=\"T_fd2f5_row49_col2\" class=\"data row49 col2\" >21.50</td>\n",
- " <td id=\"T_fd2f5_row49_col3\" class=\"data row49 col3\" >3.18</td>\n",
+ " <th id=\"T_0aa0a_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_0aa0a_row49_col0\" class=\"data row49 col0\" >25.74</td>\n",
+ " <td id=\"T_0aa0a_row49_col1\" class=\"data row49 col1\" >3.00</td>\n",
+ " <td id=\"T_0aa0a_row49_col2\" class=\"data row49 col2\" >21.50</td>\n",
+ " <td id=\"T_0aa0a_row49_col3\" class=\"data row49 col3\" >3.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_fd2f5_row50_col0\" class=\"data row50 col0\" >13.12</td>\n",
- " <td id=\"T_fd2f5_row50_col1\" class=\"data row50 col1\" >2.27</td>\n",
- " <td id=\"T_fd2f5_row50_col2\" class=\"data row50 col2\" >19.82</td>\n",
- " <td id=\"T_fd2f5_row50_col3\" class=\"data row50 col3\" >2.50</td>\n",
+ " <th id=\"T_0aa0a_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_0aa0a_row50_col0\" class=\"data row50 col0\" >13.12</td>\n",
+ " <td id=\"T_0aa0a_row50_col1\" class=\"data row50 col1\" >2.27</td>\n",
+ " <td id=\"T_0aa0a_row50_col2\" class=\"data row50 col2\" >19.82</td>\n",
+ " <td id=\"T_0aa0a_row50_col3\" class=\"data row50 col3\" >2.50</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_fd2f5_row51_col0\" class=\"data row51 col0\" >25.47</td>\n",
- " <td id=\"T_fd2f5_row51_col1\" class=\"data row51 col1\" >2.80</td>\n",
- " <td id=\"T_fd2f5_row51_col2\" class=\"data row51 col2\" >20.02</td>\n",
- " <td id=\"T_fd2f5_row51_col3\" class=\"data row51 col3\" >2.86</td>\n",
+ " <th id=\"T_0aa0a_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_0aa0a_row51_col0\" class=\"data row51 col0\" >25.47</td>\n",
+ " <td id=\"T_0aa0a_row51_col1\" class=\"data row51 col1\" >2.80</td>\n",
+ " <td id=\"T_0aa0a_row51_col2\" class=\"data row51 col2\" >20.02</td>\n",
+ " <td id=\"T_0aa0a_row51_col3\" class=\"data row51 col3\" >2.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_fd2f5_row52_col0\" class=\"data row52 col0\" >24.32</td>\n",
- " <td id=\"T_fd2f5_row52_col1\" class=\"data row52 col1\" >2.55</td>\n",
- " <td id=\"T_fd2f5_row52_col2\" class=\"data row52 col2\" >23.57</td>\n",
- " <td id=\"T_fd2f5_row52_col3\" class=\"data row52 col3\" >3.17</td>\n",
+ " <th id=\"T_0aa0a_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_0aa0a_row52_col0\" class=\"data row52 col0\" >24.32</td>\n",
+ " <td id=\"T_0aa0a_row52_col1\" class=\"data row52 col1\" >2.55</td>\n",
+ " <td id=\"T_0aa0a_row52_col2\" class=\"data row52 col2\" >23.57</td>\n",
+ " <td id=\"T_0aa0a_row52_col3\" class=\"data row52 col3\" >3.17</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_fd2f5_row53_col0\" class=\"data row53 col0\" >13.14</td>\n",
- " <td id=\"T_fd2f5_row53_col1\" class=\"data row53 col1\" >2.36</td>\n",
- " <td id=\"T_fd2f5_row53_col2\" class=\"data row53 col2\" >19.72</td>\n",
- " <td id=\"T_fd2f5_row53_col3\" class=\"data row53 col3\" >2.82</td>\n",
+ " <th id=\"T_0aa0a_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_0aa0a_row53_col0\" class=\"data row53 col0\" >13.14</td>\n",
+ " <td id=\"T_0aa0a_row53_col1\" class=\"data row53 col1\" >2.36</td>\n",
+ " <td id=\"T_0aa0a_row53_col2\" class=\"data row53 col2\" >19.72</td>\n",
+ " <td id=\"T_0aa0a_row53_col3\" class=\"data row53 col3\" >2.82</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_fd2f5_row54_col0\" class=\"data row54 col0\" >25.73</td>\n",
- " <td id=\"T_fd2f5_row54_col1\" class=\"data row54 col1\" >2.91</td>\n",
- " <td id=\"T_fd2f5_row54_col2\" class=\"data row54 col2\" >20.87</td>\n",
- " <td id=\"T_fd2f5_row54_col3\" class=\"data row54 col3\" >3.27</td>\n",
+ " <th id=\"T_0aa0a_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_0aa0a_row54_col0\" class=\"data row54 col0\" >25.73</td>\n",
+ " <td id=\"T_0aa0a_row54_col1\" class=\"data row54 col1\" >2.91</td>\n",
+ " <td id=\"T_0aa0a_row54_col2\" class=\"data row54 col2\" >20.87</td>\n",
+ " <td id=\"T_0aa0a_row54_col3\" class=\"data row54 col3\" >3.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_fd2f5_row55_col0\" class=\"data row55 col0\" >25.61</td>\n",
- " <td id=\"T_fd2f5_row55_col1\" class=\"data row55 col1\" >2.72</td>\n",
- " <td id=\"T_fd2f5_row55_col2\" class=\"data row55 col2\" >20.71</td>\n",
- " <td id=\"T_fd2f5_row55_col3\" class=\"data row55 col3\" >3.33</td>\n",
+ " <th id=\"T_0aa0a_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_0aa0a_row55_col0\" class=\"data row55 col0\" >25.61</td>\n",
+ " <td id=\"T_0aa0a_row55_col1\" class=\"data row55 col1\" >2.72</td>\n",
+ " <td id=\"T_0aa0a_row55_col2\" class=\"data row55 col2\" >20.71</td>\n",
+ " <td id=\"T_0aa0a_row55_col3\" class=\"data row55 col3\" >3.33</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_fd2f5_row56_col0\" class=\"data row56 col0\" >11.81</td>\n",
- " <td id=\"T_fd2f5_row56_col1\" class=\"data row56 col1\" >2.56</td>\n",
- " <td id=\"T_fd2f5_row56_col2\" class=\"data row56 col2\" >19.39</td>\n",
- " <td id=\"T_fd2f5_row56_col3\" class=\"data row56 col3\" >2.57</td>\n",
+ " <th id=\"T_0aa0a_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_0aa0a_row56_col0\" class=\"data row56 col0\" >11.81</td>\n",
+ " <td id=\"T_0aa0a_row56_col1\" class=\"data row56 col1\" >2.56</td>\n",
+ " <td id=\"T_0aa0a_row56_col2\" class=\"data row56 col2\" >19.39</td>\n",
+ " <td id=\"T_0aa0a_row56_col3\" class=\"data row56 col3\" >2.57</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_fd2f5_row57_col0\" class=\"data row57 col0\" >26.19</td>\n",
- " <td id=\"T_fd2f5_row57_col1\" class=\"data row57 col1\" >2.73</td>\n",
- " <td id=\"T_fd2f5_row57_col2\" class=\"data row57 col2\" >23.13</td>\n",
- " <td id=\"T_fd2f5_row57_col3\" class=\"data row57 col3\" >3.06</td>\n",
+ " <th id=\"T_0aa0a_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_0aa0a_row57_col0\" class=\"data row57 col0\" >26.19</td>\n",
+ " <td id=\"T_0aa0a_row57_col1\" class=\"data row57 col1\" >2.73</td>\n",
+ " <td id=\"T_0aa0a_row57_col2\" class=\"data row57 col2\" >23.13</td>\n",
+ " <td id=\"T_0aa0a_row57_col3\" class=\"data row57 col3\" >3.06</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_fd2f5_row58_col0\" class=\"data row58 col0\" >25.35</td>\n",
- " <td id=\"T_fd2f5_row58_col1\" class=\"data row58 col1\" >3.00</td>\n",
- " <td id=\"T_fd2f5_row58_col2\" class=\"data row58 col2\" >21.00</td>\n",
- " <td id=\"T_fd2f5_row58_col3\" class=\"data row58 col3\" >3.01</td>\n",
+ " <th id=\"T_0aa0a_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_0aa0a_row58_col0\" class=\"data row58 col0\" >25.35</td>\n",
+ " <td id=\"T_0aa0a_row58_col1\" class=\"data row58 col1\" >3.00</td>\n",
+ " <td id=\"T_0aa0a_row58_col2\" class=\"data row58 col2\" >21.00</td>\n",
+ " <td id=\"T_0aa0a_row58_col3\" class=\"data row58 col3\" >3.01</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_fd2f5_row59_col0\" class=\"data row59 col0\" >25.33</td>\n",
- " <td id=\"T_fd2f5_row59_col1\" class=\"data row59 col1\" >2.57</td>\n",
- " <td id=\"T_fd2f5_row59_col2\" class=\"data row59 col2\" >21.12</td>\n",
- " <td id=\"T_fd2f5_row59_col3\" class=\"data row59 col3\" >3.24</td>\n",
+ " <th id=\"T_0aa0a_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_0aa0a_row59_col0\" class=\"data row59 col0\" >25.33</td>\n",
+ " <td id=\"T_0aa0a_row59_col1\" class=\"data row59 col1\" >2.57</td>\n",
+ " <td id=\"T_0aa0a_row59_col2\" class=\"data row59 col2\" >21.12</td>\n",
+ " <td id=\"T_0aa0a_row59_col3\" class=\"data row59 col3\" >3.24</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_fd2f5_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_fd2f5_row60_col0\" class=\"data row60 col0\" >20.36</td>\n",
- " <td id=\"T_fd2f5_row60_col1\" class=\"data row60 col1\" >2.55</td>\n",
- " <td id=\"T_fd2f5_row60_col2\" class=\"data row60 col2\" >21.73</td>\n",
- " <td id=\"T_fd2f5_row60_col3\" class=\"data row60 col3\" >2.65</td>\n",
+ " <th id=\"T_0aa0a_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_0aa0a_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_0aa0a_row60_col0\" class=\"data row60 col0\" >20.36</td>\n",
+ " <td id=\"T_0aa0a_row60_col1\" class=\"data row60 col1\" >2.55</td>\n",
+ " <td id=\"T_0aa0a_row60_col2\" class=\"data row60 col2\" >21.73</td>\n",
+ " <td id=\"T_0aa0a_row60_col3\" class=\"data row60 col3\" >2.65</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_fd2f5_row61_col0\" class=\"data row61 col0\" >22.60</td>\n",
- " <td id=\"T_fd2f5_row61_col1\" class=\"data row61 col1\" >2.42</td>\n",
- " <td id=\"T_fd2f5_row61_col2\" class=\"data row61 col2\" >21.05</td>\n",
- " <td id=\"T_fd2f5_row61_col3\" class=\"data row61 col3\" >3.20</td>\n",
+ " <th id=\"T_0aa0a_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_0aa0a_row61_col0\" class=\"data row61 col0\" >22.60</td>\n",
+ " <td id=\"T_0aa0a_row61_col1\" class=\"data row61 col1\" >2.42</td>\n",
+ " <td id=\"T_0aa0a_row61_col2\" class=\"data row61 col2\" >21.05</td>\n",
+ " <td id=\"T_0aa0a_row61_col3\" class=\"data row61 col3\" >3.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_fd2f5_row62_col0\" class=\"data row62 col0\" >23.32</td>\n",
- " <td id=\"T_fd2f5_row62_col1\" class=\"data row62 col1\" >2.47</td>\n",
- " <td id=\"T_fd2f5_row62_col2\" class=\"data row62 col2\" >21.43</td>\n",
- " <td id=\"T_fd2f5_row62_col3\" class=\"data row62 col3\" >3.30</td>\n",
+ " <th id=\"T_0aa0a_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_0aa0a_row62_col0\" class=\"data row62 col0\" >23.32</td>\n",
+ " <td id=\"T_0aa0a_row62_col1\" class=\"data row62 col1\" >2.47</td>\n",
+ " <td id=\"T_0aa0a_row62_col2\" class=\"data row62 col2\" >21.43</td>\n",
+ " <td id=\"T_0aa0a_row62_col3\" class=\"data row62 col3\" >3.30</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fd2f5_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_fd2f5_row63_col0\" class=\"data row63 col0\" >22.21</td>\n",
- " <td id=\"T_fd2f5_row63_col1\" class=\"data row63 col1\" >2.56</td>\n",
- " <td id=\"T_fd2f5_row63_col2\" class=\"data row63 col2\" >20.43</td>\n",
- " <td id=\"T_fd2f5_row63_col3\" class=\"data row63 col3\" >2.89</td>\n",
+ " <th id=\"T_0aa0a_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_0aa0a_row63_col0\" class=\"data row63 col0\" >22.21</td>\n",
+ " <td id=\"T_0aa0a_row63_col1\" class=\"data row63 col1\" >2.56</td>\n",
+ " <td id=\"T_0aa0a_row63_col2\" class=\"data row63 col2\" >20.43</td>\n",
+ " <td id=\"T_0aa0a_row63_col3\" class=\"data row63 col3\" >2.89</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0d7b490>"
+ "<pandas.io.formats.style.Styler at 0x76062fa9f010>"
]
},
"metadata": {},
@@ -2022,260 +2016,260 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_e60a4 td {\n",
+ "#T_1dab2 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_e60a4 th {\n",
+ "#T_1dab2 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_e60a4_row0_col0, #T_e60a4_row4_col2, #T_e60a4_row15_col0 {\n",
+ "#T_1dab2_row0_col0, #T_1dab2_row4_col2, #T_1dab2_row15_col0 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row0_col2, #T_e60a4_row15_col2 {\n",
+ "#T_1dab2_row0_col2, #T_1dab2_row15_col2 {\n",
" background-color: #e1f4e1;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row1_col0 {\n",
+ "#T_1dab2_row1_col0 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row1_col2 {\n",
+ "#T_1dab2_row1_col2 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row2_col0 {\n",
+ "#T_1dab2_row2_col0 {\n",
" background-color: #91f991;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row2_col2, #T_e60a4_row4_col0 {\n",
+ "#T_1dab2_row2_col2, #T_1dab2_row4_col0 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row3_col0 {\n",
+ "#T_1dab2_row3_col0 {\n",
" background-color: #40fe40;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row3_col2 {\n",
+ "#T_1dab2_row3_col2 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row5_col0 {\n",
+ "#T_1dab2_row5_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row5_col2 {\n",
+ "#T_1dab2_row5_col2 {\n",
" background-color: #bff6bf;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row6_col0 {\n",
+ "#T_1dab2_row6_col0 {\n",
" background-color: #6ffb6f;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row6_col2 {\n",
+ "#T_1dab2_row6_col2 {\n",
" background-color: #aff7af;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row7_col0 {\n",
+ "#T_1dab2_row7_col0 {\n",
" background-color: #9ff89f;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row7_col2 {\n",
+ "#T_1dab2_row7_col2 {\n",
" background-color: #a9f7a9;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row8_col0, #T_e60a4_row8_col2 {\n",
+ "#T_1dab2_row8_col0, #T_1dab2_row8_col2 {\n",
" background-color: #ddf4dd;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row9_col0 {\n",
+ "#T_1dab2_row9_col0 {\n",
" background-color: #a7f7a7;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row9_col2 {\n",
+ "#T_1dab2_row9_col2 {\n",
" background-color: #d5f4d5;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row10_col0 {\n",
+ "#T_1dab2_row10_col0 {\n",
" background-color: #35ff35;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row10_col2 {\n",
+ "#T_1dab2_row10_col2 {\n",
" background-color: #a3f8a3;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row11_col0 {\n",
+ "#T_1dab2_row11_col0 {\n",
" background-color: #bbf6bb;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row11_col2 {\n",
+ "#T_1dab2_row11_col2 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row12_col0 {\n",
+ "#T_1dab2_row12_col0 {\n",
" background-color: #e6f3e6;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row12_col2 {\n",
+ "#T_1dab2_row12_col2 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row13_col0 {\n",
+ "#T_1dab2_row13_col0 {\n",
" background-color: #6cfb6c;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row13_col2 {\n",
+ "#T_1dab2_row13_col2 {\n",
" background-color: #8ef98e;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row14_col0 {\n",
+ "#T_1dab2_row14_col0 {\n",
" background-color: #9df89d;\n",
" color: #000000;\n",
"}\n",
- "#T_e60a4_row14_col2 {\n",
+ "#T_1dab2_row14_col2 {\n",
" background-color: #e0f4e0;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_e60a4\">\n",
+ "<table id=\"T_1dab2\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_e60a4_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " <th id=\"T_1dab2_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_e60a4_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
- " <th id=\"T_e60a4_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_1dab2_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_1dab2_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_e60a4_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
- " <th id=\"T_e60a4_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_e60a4_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
- " <th id=\"T_e60a4_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_1dab2_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_1dab2_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_1dab2_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_1dab2_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_e60a4_row0_col0\" class=\"data row0 col0\" >88.50</td>\n",
- " <td id=\"T_e60a4_row0_col1\" class=\"data row0 col1\" >3.05</td>\n",
- " <td id=\"T_e60a4_row0_col2\" class=\"data row0 col2\" >84.65</td>\n",
- " <td id=\"T_e60a4_row0_col3\" class=\"data row0 col3\" >3.64</td>\n",
+ " <th id=\"T_1dab2_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_1dab2_row0_col0\" class=\"data row0 col0\" >88.50</td>\n",
+ " <td id=\"T_1dab2_row0_col1\" class=\"data row0 col1\" >3.05</td>\n",
+ " <td id=\"T_1dab2_row0_col2\" class=\"data row0 col2\" >84.65</td>\n",
+ " <td id=\"T_1dab2_row0_col3\" class=\"data row0 col3\" >3.64</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_e60a4_row1_col0\" class=\"data row1 col0\" >88.76</td>\n",
- " <td id=\"T_e60a4_row1_col1\" class=\"data row1 col1\" >3.06</td>\n",
- " <td id=\"T_e60a4_row1_col2\" class=\"data row1 col2\" >84.86</td>\n",
- " <td id=\"T_e60a4_row1_col3\" class=\"data row1 col3\" >3.67</td>\n",
+ " <th id=\"T_1dab2_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_1dab2_row1_col0\" class=\"data row1 col0\" >88.76</td>\n",
+ " <td id=\"T_1dab2_row1_col1\" class=\"data row1 col1\" >3.06</td>\n",
+ " <td id=\"T_1dab2_row1_col2\" class=\"data row1 col2\" >84.86</td>\n",
+ " <td id=\"T_1dab2_row1_col3\" class=\"data row1 col3\" >3.67</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_e60a4_row2_col0\" class=\"data row2 col0\" >88.71</td>\n",
- " <td id=\"T_e60a4_row2_col1\" class=\"data row2 col1\" >3.01</td>\n",
- " <td id=\"T_e60a4_row2_col2\" class=\"data row2 col2\" >85.11</td>\n",
- " <td id=\"T_e60a4_row2_col3\" class=\"data row2 col3\" >3.54</td>\n",
+ " <th id=\"T_1dab2_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_1dab2_row2_col0\" class=\"data row2 col0\" >88.71</td>\n",
+ " <td id=\"T_1dab2_row2_col1\" class=\"data row2 col1\" >3.01</td>\n",
+ " <td id=\"T_1dab2_row2_col2\" class=\"data row2 col2\" >85.11</td>\n",
+ " <td id=\"T_1dab2_row2_col3\" class=\"data row2 col3\" >3.54</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_e60a4_row3_col0\" class=\"data row3 col0\" >88.90</td>\n",
- " <td id=\"T_e60a4_row3_col1\" class=\"data row3 col1\" >2.85</td>\n",
- " <td id=\"T_e60a4_row3_col2\" class=\"data row3 col2\" >84.69</td>\n",
- " <td id=\"T_e60a4_row3_col3\" class=\"data row3 col3\" >3.80</td>\n",
+ " <th id=\"T_1dab2_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_1dab2_row3_col0\" class=\"data row3 col0\" >88.90</td>\n",
+ " <td id=\"T_1dab2_row3_col1\" class=\"data row3 col1\" >2.85</td>\n",
+ " <td id=\"T_1dab2_row3_col2\" class=\"data row3 col2\" >84.69</td>\n",
+ " <td id=\"T_1dab2_row3_col3\" class=\"data row3 col3\" >3.80</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_e60a4_row4_col0\" class=\"data row4 col0\" >88.93</td>\n",
- " <td id=\"T_e60a4_row4_col1\" class=\"data row4 col1\" >3.07</td>\n",
- " <td id=\"T_e60a4_row4_col2\" class=\"data row4 col2\" >84.62</td>\n",
- " <td id=\"T_e60a4_row4_col3\" class=\"data row4 col3\" >3.61</td>\n",
+ " <th id=\"T_1dab2_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_1dab2_row4_col0\" class=\"data row4 col0\" >88.93</td>\n",
+ " <td id=\"T_1dab2_row4_col1\" class=\"data row4 col1\" >3.07</td>\n",
+ " <td id=\"T_1dab2_row4_col2\" class=\"data row4 col2\" >84.62</td>\n",
+ " <td id=\"T_1dab2_row4_col3\" class=\"data row4 col3\" >3.61</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_e60a4_row5_col0\" class=\"data row5 col0\" >88.55</td>\n",
- " <td id=\"T_e60a4_row5_col1\" class=\"data row5 col1\" >3.05</td>\n",
- " <td id=\"T_e60a4_row5_col2\" class=\"data row5 col2\" >84.74</td>\n",
- " <td id=\"T_e60a4_row5_col3\" class=\"data row5 col3\" >3.67</td>\n",
+ " <th id=\"T_1dab2_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_1dab2_row5_col0\" class=\"data row5 col0\" >88.55</td>\n",
+ " <td id=\"T_1dab2_row5_col1\" class=\"data row5 col1\" >3.05</td>\n",
+ " <td id=\"T_1dab2_row5_col2\" class=\"data row5 col2\" >84.74</td>\n",
+ " <td id=\"T_1dab2_row5_col3\" class=\"data row5 col3\" >3.67</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_e60a4_row6_col0\" class=\"data row6 col0\" >88.79</td>\n",
- " <td id=\"T_e60a4_row6_col1\" class=\"data row6 col1\" >2.83</td>\n",
- " <td id=\"T_e60a4_row6_col2\" class=\"data row6 col2\" >84.78</td>\n",
- " <td id=\"T_e60a4_row6_col3\" class=\"data row6 col3\" >3.75</td>\n",
+ " <th id=\"T_1dab2_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_1dab2_row6_col0\" class=\"data row6 col0\" >88.79</td>\n",
+ " <td id=\"T_1dab2_row6_col1\" class=\"data row6 col1\" >2.83</td>\n",
+ " <td id=\"T_1dab2_row6_col2\" class=\"data row6 col2\" >84.78</td>\n",
+ " <td id=\"T_1dab2_row6_col3\" class=\"data row6 col3\" >3.75</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_e60a4_row7_col0\" class=\"data row7 col0\" >88.68</td>\n",
- " <td id=\"T_e60a4_row7_col1\" class=\"data row7 col1\" >2.93</td>\n",
- " <td id=\"T_e60a4_row7_col2\" class=\"data row7 col2\" >84.80</td>\n",
- " <td id=\"T_e60a4_row7_col3\" class=\"data row7 col3\" >3.72</td>\n",
+ " <th id=\"T_1dab2_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_1dab2_row7_col0\" class=\"data row7 col0\" >88.68</td>\n",
+ " <td id=\"T_1dab2_row7_col1\" class=\"data row7 col1\" >2.93</td>\n",
+ " <td id=\"T_1dab2_row7_col2\" class=\"data row7 col2\" >84.80</td>\n",
+ " <td id=\"T_1dab2_row7_col3\" class=\"data row7 col3\" >3.72</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_e60a4_row8_col0\" class=\"data row8 col0\" >88.53</td>\n",
- " <td id=\"T_e60a4_row8_col1\" class=\"data row8 col1\" >2.99</td>\n",
- " <td id=\"T_e60a4_row8_col2\" class=\"data row8 col2\" >84.66</td>\n",
- " <td id=\"T_e60a4_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
+ " <th id=\"T_1dab2_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_1dab2_row8_col0\" class=\"data row8 col0\" >88.53</td>\n",
+ " <td id=\"T_1dab2_row8_col1\" class=\"data row8 col1\" >2.99</td>\n",
+ " <td id=\"T_1dab2_row8_col2\" class=\"data row8 col2\" >84.66</td>\n",
+ " <td id=\"T_1dab2_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_e60a4_row9_col0\" class=\"data row9 col0\" >88.66</td>\n",
- " <td id=\"T_e60a4_row9_col1\" class=\"data row9 col1\" >3.05</td>\n",
- " <td id=\"T_e60a4_row9_col2\" class=\"data row9 col2\" >84.68</td>\n",
- " <td id=\"T_e60a4_row9_col3\" class=\"data row9 col3\" >3.68</td>\n",
+ " <th id=\"T_1dab2_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_1dab2_row9_col0\" class=\"data row9 col0\" >88.66</td>\n",
+ " <td id=\"T_1dab2_row9_col1\" class=\"data row9 col1\" >3.05</td>\n",
+ " <td id=\"T_1dab2_row9_col2\" class=\"data row9 col2\" >84.68</td>\n",
+ " <td id=\"T_1dab2_row9_col3\" class=\"data row9 col3\" >3.68</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_e60a4_row10_col0\" class=\"data row10 col0\" >88.93</td>\n",
- " <td id=\"T_e60a4_row10_col1\" class=\"data row10 col1\" >2.77</td>\n",
- " <td id=\"T_e60a4_row10_col2\" class=\"data row10 col2\" >84.82</td>\n",
- " <td id=\"T_e60a4_row10_col3\" class=\"data row10 col3\" >3.53</td>\n",
+ " <th id=\"T_1dab2_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_1dab2_row10_col0\" class=\"data row10 col0\" >88.93</td>\n",
+ " <td id=\"T_1dab2_row10_col1\" class=\"data row10 col1\" >2.77</td>\n",
+ " <td id=\"T_1dab2_row10_col2\" class=\"data row10 col2\" >84.82</td>\n",
+ " <td id=\"T_1dab2_row10_col3\" class=\"data row10 col3\" >3.53</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_e60a4_row11_col0\" class=\"data row11 col0\" >88.61</td>\n",
- " <td id=\"T_e60a4_row11_col1\" class=\"data row11 col1\" >2.93</td>\n",
- " <td id=\"T_e60a4_row11_col2\" class=\"data row11 col2\" >84.82</td>\n",
- " <td id=\"T_e60a4_row11_col3\" class=\"data row11 col3\" >3.71</td>\n",
+ " <th id=\"T_1dab2_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_1dab2_row11_col0\" class=\"data row11 col0\" >88.61</td>\n",
+ " <td id=\"T_1dab2_row11_col1\" class=\"data row11 col1\" >2.93</td>\n",
+ " <td id=\"T_1dab2_row11_col2\" class=\"data row11 col2\" >84.82</td>\n",
+ " <td id=\"T_1dab2_row11_col3\" class=\"data row11 col3\" >3.71</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_e60a4_row12_col0\" class=\"data row12 col0\" >88.51</td>\n",
- " <td id=\"T_e60a4_row12_col1\" class=\"data row12 col1\" >3.12</td>\n",
- " <td id=\"T_e60a4_row12_col2\" class=\"data row12 col2\" >84.64</td>\n",
- " <td id=\"T_e60a4_row12_col3\" class=\"data row12 col3\" >3.65</td>\n",
+ " <th id=\"T_1dab2_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_1dab2_row12_col0\" class=\"data row12 col0\" >88.51</td>\n",
+ " <td id=\"T_1dab2_row12_col1\" class=\"data row12 col1\" >3.12</td>\n",
+ " <td id=\"T_1dab2_row12_col2\" class=\"data row12 col2\" >84.64</td>\n",
+ " <td id=\"T_1dab2_row12_col3\" class=\"data row12 col3\" >3.65</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_e60a4_row13_col0\" class=\"data row13 col0\" >88.80</td>\n",
- " <td id=\"T_e60a4_row13_col1\" class=\"data row13 col1\" >2.98</td>\n",
- " <td id=\"T_e60a4_row13_col2\" class=\"data row13 col2\" >84.87</td>\n",
- " <td id=\"T_e60a4_row13_col3\" class=\"data row13 col3\" >3.57</td>\n",
+ " <th id=\"T_1dab2_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_1dab2_row13_col0\" class=\"data row13 col0\" >88.80</td>\n",
+ " <td id=\"T_1dab2_row13_col1\" class=\"data row13 col1\" >2.98</td>\n",
+ " <td id=\"T_1dab2_row13_col2\" class=\"data row13 col2\" >84.87</td>\n",
+ " <td id=\"T_1dab2_row13_col3\" class=\"data row13 col3\" >3.57</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_e60a4_row14_col0\" class=\"data row14 col0\" >88.68</td>\n",
- " <td id=\"T_e60a4_row14_col1\" class=\"data row14 col1\" >2.96</td>\n",
- " <td id=\"T_e60a4_row14_col2\" class=\"data row14 col2\" >84.65</td>\n",
- " <td id=\"T_e60a4_row14_col3\" class=\"data row14 col3\" >3.64</td>\n",
+ " <th id=\"T_1dab2_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_1dab2_row14_col0\" class=\"data row14 col0\" >88.68</td>\n",
+ " <td id=\"T_1dab2_row14_col1\" class=\"data row14 col1\" >2.96</td>\n",
+ " <td id=\"T_1dab2_row14_col2\" class=\"data row14 col2\" >84.65</td>\n",
+ " <td id=\"T_1dab2_row14_col3\" class=\"data row14 col3\" >3.64</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_e60a4_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_e60a4_row15_col0\" class=\"data row15 col0\" >88.50</td>\n",
- " <td id=\"T_e60a4_row15_col1\" class=\"data row15 col1\" >3.05</td>\n",
- " <td id=\"T_e60a4_row15_col2\" class=\"data row15 col2\" >84.65</td>\n",
- " <td id=\"T_e60a4_row15_col3\" class=\"data row15 col3\" >3.64</td>\n",
+ " <th id=\"T_1dab2_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_1dab2_row15_col0\" class=\"data row15 col0\" >88.50</td>\n",
+ " <td id=\"T_1dab2_row15_col1\" class=\"data row15 col1\" >3.05</td>\n",
+ " <td id=\"T_1dab2_row15_col2\" class=\"data row15 col2\" >84.65</td>\n",
+ " <td id=\"T_1dab2_row15_col3\" class=\"data row15 col3\" >3.64</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a32354d0>"
+ "<pandas.io.formats.style.Styler at 0x76062f87ff50>"
]
},
"metadata": {},
@@ -2288,1150 +2282,1150 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_8eb4f td {\n",
+ "#T_67578 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_8eb4f th {\n",
+ "#T_67578 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_8eb4f_row0_col0, #T_8eb4f_row60_col0 {\n",
+ "#T_67578_row0_col0, #T_67578_row60_col0 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row0_col2, #T_8eb4f_row2_col0, #T_8eb4f_row60_col2, #T_8eb4f_row62_col0 {\n",
+ "#T_67578_row0_col2, #T_67578_row2_col0, #T_67578_row60_col2, #T_67578_row62_col0 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row0_col4, #T_8eb4f_row60_col4 {\n",
+ "#T_67578_row0_col4, #T_67578_row60_col4 {\n",
" background-color: #f4dfdf;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row1_col0, #T_8eb4f_row16_col2, #T_8eb4f_row32_col2, #T_8eb4f_row61_col0 {\n",
+ "#T_67578_row1_col0, #T_67578_row16_col2, #T_67578_row32_col2, #T_67578_row61_col0 {\n",
" background-color: #47fe47;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row1_col2, #T_8eb4f_row2_col2, #T_8eb4f_row61_col2, #T_8eb4f_row62_col2 {\n",
+ "#T_67578_row1_col2, #T_67578_row2_col2, #T_67578_row61_col2, #T_67578_row62_col2 {\n",
" background-color: #3cfe3c;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row1_col4, #T_8eb4f_row6_col4, #T_8eb4f_row29_col4, #T_8eb4f_row61_col4 {\n",
+ "#T_67578_row1_col4, #T_67578_row6_col4, #T_67578_row29_col4, #T_67578_row61_col4 {\n",
" background-color: #f5c5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row2_col4, #T_8eb4f_row17_col4, #T_8eb4f_row18_col4, #T_8eb4f_row62_col4 {\n",
+ "#T_67578_row2_col4, #T_67578_row17_col4, #T_67578_row18_col4, #T_67578_row62_col4 {\n",
" background-color: #f5c1c1;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row3_col0, #T_8eb4f_row63_col0 {\n",
+ "#T_67578_row3_col0, #T_67578_row63_col0 {\n",
" background-color: #3bff3b;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row3_col2, #T_8eb4f_row52_col2, #T_8eb4f_row63_col2 {\n",
+ "#T_67578_row3_col2, #T_67578_row52_col2, #T_67578_row63_col2 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row3_col4, #T_8eb4f_row63_col4 {\n",
+ "#T_67578_row3_col4, #T_67578_row63_col4 {\n",
" background-color: #f4d4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row4_col0 {\n",
+ "#T_67578_row4_col0 {\n",
" background-color: #d1f5d1;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row4_col2 {\n",
+ "#T_67578_row4_col2 {\n",
" background-color: #aaf7aa;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row4_col4 {\n",
+ "#T_67578_row4_col4 {\n",
" background-color: #fd2e2e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row5_col0, #T_8eb4f_row29_col0 {\n",
+ "#T_67578_row5_col0, #T_67578_row29_col0 {\n",
" background-color: #8af98a;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row5_col2 {\n",
+ "#T_67578_row5_col2 {\n",
" background-color: #6afb6a;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row5_col4 {\n",
+ "#T_67578_row5_col4 {\n",
" background-color: #f5c0c0;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row6_col0 {\n",
+ "#T_67578_row6_col0 {\n",
" background-color: #6dfb6d;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row6_col2, #T_8eb4f_row38_col2, #T_8eb4f_row46_col2 {\n",
+ "#T_67578_row6_col2, #T_67578_row38_col2, #T_67578_row46_col2 {\n",
" background-color: #53fd53;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row7_col0, #T_8eb4f_row17_col0 {\n",
+ "#T_67578_row7_col0, #T_67578_row17_col0 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row7_col2, #T_8eb4f_row20_col2, #T_8eb4f_row25_col2, #T_8eb4f_row54_col2 {\n",
+ "#T_67578_row7_col2, #T_67578_row20_col2, #T_67578_row25_col2, #T_67578_row54_col2 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row7_col4, #T_8eb4f_row50_col4 {\n",
+ "#T_67578_row7_col4, #T_67578_row50_col4 {\n",
" background-color: #f4d2d2;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row8_col0 {\n",
+ "#T_67578_row8_col0 {\n",
" background-color: #72fb72;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row8_col2 {\n",
+ "#T_67578_row8_col2 {\n",
" background-color: #3ffe3f;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row8_col4 {\n",
+ "#T_67578_row8_col4 {\n",
" background-color: #f3e6e6;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row9_col0 {\n",
+ "#T_67578_row9_col0 {\n",
" background-color: #c7f5c7;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row9_col2, #T_8eb4f_row19_col0 {\n",
+ "#T_67578_row9_col2, #T_67578_row19_col0 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row9_col4 {\n",
+ "#T_67578_row9_col4 {\n",
" background-color: #ff0707;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row10_col0 {\n",
+ "#T_67578_row10_col0 {\n",
" background-color: #74fb74;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row10_col2, #T_8eb4f_row51_col2, #T_8eb4f_row59_col0 {\n",
+ "#T_67578_row10_col2, #T_67578_row51_col2, #T_67578_row59_col0 {\n",
" background-color: #5efc5e;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row10_col4 {\n",
+ "#T_67578_row10_col4 {\n",
" background-color: #f5c4c4;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row11_col0 {\n",
+ "#T_67578_row11_col0 {\n",
" background-color: #97f897;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row11_col2, #T_8eb4f_row51_col0 {\n",
+ "#T_67578_row11_col2, #T_67578_row51_col0 {\n",
" background-color: #60fc60;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row11_col4 {\n",
+ "#T_67578_row11_col4 {\n",
" background-color: #f4d5d5;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row12_col0, #T_8eb4f_row40_col0, #T_8eb4f_row46_col0 {\n",
+ "#T_67578_row12_col0, #T_67578_row40_col0, #T_67578_row46_col0 {\n",
" background-color: #66fc66;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row12_col2 {\n",
+ "#T_67578_row12_col2 {\n",
" background-color: #40fe40;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row12_col4, #T_8eb4f_row16_col4 {\n",
+ "#T_67578_row12_col4, #T_67578_row16_col4 {\n",
" background-color: #f3e7e7;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row13_col0, #T_8eb4f_row26_col2 {\n",
+ "#T_67578_row13_col0, #T_67578_row26_col2 {\n",
" background-color: #84fa84;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row13_col2, #T_8eb4f_row47_col2, #T_8eb4f_row50_col2 {\n",
+ "#T_67578_row13_col2, #T_67578_row47_col2, #T_67578_row50_col2 {\n",
" background-color: #5dfc5d;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row13_col4 {\n",
+ "#T_67578_row13_col4 {\n",
" background-color: #f5c7c7;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row14_col0 {\n",
+ "#T_67578_row14_col0 {\n",
" background-color: #d9f4d9;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row14_col2, #T_8eb4f_row19_col2 {\n",
+ "#T_67578_row14_col2, #T_67578_row19_col2 {\n",
" background-color: #e8f3e8;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row14_col4 {\n",
+ "#T_67578_row14_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row15_col0 {\n",
+ "#T_67578_row15_col0 {\n",
" background-color: #86fa86;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row15_col2 {\n",
+ "#T_67578_row15_col2 {\n",
" background-color: #57fd57;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row15_col4, #T_8eb4f_row23_col4 {\n",
+ "#T_67578_row15_col4, #T_67578_row23_col4 {\n",
" background-color: #f4d8d8;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row16_col0 {\n",
+ "#T_67578_row16_col0 {\n",
" background-color: #69fc69;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row17_col2, #T_8eb4f_row52_col0 {\n",
+ "#T_67578_row17_col2, #T_67578_row52_col0 {\n",
" background-color: #63fc63;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row18_col0, #T_8eb4f_row32_col0, #T_8eb4f_row36_col0 {\n",
+ "#T_67578_row18_col0, #T_67578_row32_col0, #T_67578_row36_col0 {\n",
" background-color: #6ffb6f;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row18_col2, #T_8eb4f_row30_col2 {\n",
+ "#T_67578_row18_col2, #T_67578_row30_col2 {\n",
" background-color: #61fc61;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row19_col4 {\n",
+ "#T_67578_row19_col4 {\n",
" background-color: #fe1b1b;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row20_col0, #T_8eb4f_row24_col0 {\n",
+ "#T_67578_row20_col0, #T_67578_row24_col0 {\n",
" background-color: #87fa87;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row20_col4 {\n",
+ "#T_67578_row20_col4 {\n",
" background-color: #f88383;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row21_col0 {\n",
+ "#T_67578_row21_col0 {\n",
" background-color: #81fa81;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row21_col2 {\n",
+ "#T_67578_row21_col2 {\n",
" background-color: #94f994;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row21_col4 {\n",
+ "#T_67578_row21_col4 {\n",
" background-color: #fb5151;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row22_col0, #T_8eb4f_row42_col2 {\n",
+ "#T_67578_row22_col0, #T_67578_row42_col2 {\n",
" background-color: #73fb73;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row22_col2 {\n",
+ "#T_67578_row22_col2 {\n",
" background-color: #5afc5a;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row22_col4 {\n",
+ "#T_67578_row22_col4 {\n",
" background-color: #f5cccc;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row23_col0, #T_8eb4f_row33_col0 {\n",
+ "#T_67578_row23_col0, #T_67578_row33_col0 {\n",
" background-color: #8cf98c;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row23_col2, #T_8eb4f_row28_col2 {\n",
+ "#T_67578_row23_col2, #T_67578_row28_col2 {\n",
" background-color: #62fc62;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row24_col2 {\n",
+ "#T_67578_row24_col2 {\n",
" background-color: #68fc68;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row24_col4 {\n",
+ "#T_67578_row24_col4 {\n",
" background-color: #f97c7c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row25_col0 {\n",
+ "#T_67578_row25_col0 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row25_col4, #T_8eb4f_row41_col4 {\n",
+ "#T_67578_row25_col4, #T_67578_row41_col4 {\n",
" background-color: #f5caca;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row26_col0 {\n",
+ "#T_67578_row26_col0 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row26_col4 {\n",
+ "#T_67578_row26_col4 {\n",
" background-color: #fb5555;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row27_col0 {\n",
+ "#T_67578_row27_col0 {\n",
" background-color: #93f993;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row27_col2, #T_8eb4f_row29_col2, #T_8eb4f_row41_col2, #T_8eb4f_row45_col0, #T_8eb4f_row54_col0 {\n",
+ "#T_67578_row27_col2, #T_67578_row29_col2, #T_67578_row41_col2, #T_67578_row45_col0, #T_67578_row54_col0 {\n",
" background-color: #5cfc5c;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row27_col4, #T_8eb4f_row35_col4 {\n",
+ "#T_67578_row27_col4, #T_67578_row35_col4 {\n",
" background-color: #f4dddd;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row28_col0, #T_8eb4f_row31_col2 {\n",
+ "#T_67578_row28_col0, #T_67578_row31_col2 {\n",
" background-color: #89f989;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row28_col4 {\n",
+ "#T_67578_row28_col4 {\n",
" background-color: #f88686;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row30_col0, #T_8eb4f_row58_col0 {\n",
+ "#T_67578_row30_col0, #T_67578_row58_col0 {\n",
" background-color: #65fc65;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row30_col4 {\n",
+ "#T_67578_row30_col4 {\n",
" background-color: #f5cbcb;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row31_col0 {\n",
+ "#T_67578_row31_col0 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row31_col4 {\n",
+ "#T_67578_row31_col4 {\n",
" background-color: #f96f6f;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row32_col4, #T_8eb4f_row40_col4 {\n",
+ "#T_67578_row32_col4, #T_67578_row40_col4 {\n",
" background-color: #f3eaea;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row33_col2, #T_8eb4f_row39_col2 {\n",
+ "#T_67578_row33_col2, #T_67578_row39_col2 {\n",
" background-color: #78fb78;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row33_col4 {\n",
+ "#T_67578_row33_col4 {\n",
" background-color: #fa6b6b;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row34_col0 {\n",
+ "#T_67578_row34_col0 {\n",
" background-color: #85fa85;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row34_col2 {\n",
+ "#T_67578_row34_col2 {\n",
" background-color: #7cfa7c;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row34_col4 {\n",
+ "#T_67578_row34_col4 {\n",
" background-color: #fb5353;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row35_col0 {\n",
+ "#T_67578_row35_col0 {\n",
" background-color: #9af89a;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row35_col2 {\n",
+ "#T_67578_row35_col2 {\n",
" background-color: #58fd58;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row36_col2 {\n",
+ "#T_67578_row36_col2 {\n",
" background-color: #41fe41;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row36_col4 {\n",
+ "#T_67578_row36_col4 {\n",
" background-color: #f3eeee;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row37_col0 {\n",
+ "#T_67578_row37_col0 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row37_col2, #T_8eb4f_row56_col0 {\n",
+ "#T_67578_row37_col2, #T_67578_row56_col0 {\n",
" background-color: #80fa80;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row37_col4 {\n",
+ "#T_67578_row37_col4 {\n",
" background-color: #fa6666;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row38_col0 {\n",
+ "#T_67578_row38_col0 {\n",
" background-color: #7dfa7d;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row38_col4 {\n",
+ "#T_67578_row38_col4 {\n",
" background-color: #f5c8c8;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row39_col0 {\n",
+ "#T_67578_row39_col0 {\n",
" background-color: #aef7ae;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row39_col4 {\n",
+ "#T_67578_row39_col4 {\n",
" background-color: #f97373;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row40_col2 {\n",
+ "#T_67578_row40_col2 {\n",
" background-color: #43fe43;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row41_col0 {\n",
+ "#T_67578_row41_col0 {\n",
" background-color: #8bf98b;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row42_col0, #T_8eb4f_row53_col0 {\n",
+ "#T_67578_row42_col0, #T_67578_row53_col0 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row42_col4 {\n",
+ "#T_67578_row42_col4 {\n",
" background-color: #fb5858;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row43_col0 {\n",
+ "#T_67578_row43_col0 {\n",
" background-color: #99f899;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row43_col2 {\n",
+ "#T_67578_row43_col2 {\n",
" background-color: #79fa79;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row43_col4 {\n",
+ "#T_67578_row43_col4 {\n",
" background-color: #f97777;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8eb4f_row44_col0 {\n",
+ "#T_67578_row44_col0 {\n",
" background-color: #56fd56;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row44_col2 {\n",
+ "#T_67578_row44_col2 {\n",
" background-color: #46fe46;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row44_col4 {\n",
+ "#T_67578_row44_col4 {\n",
" background-color: #f6b8b7;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row45_col2 {\n",
+ "#T_67578_row45_col2 {\n",
" background-color: #51fd51;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row45_col4 {\n",
+ "#T_67578_row45_col4 {\n",
" background-color: #f79897;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row46_col4 {\n",
+ "#T_67578_row46_col4 {\n",
" background-color: #f88f8f;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row47_col0 {\n",
+ "#T_67578_row47_col0 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row47_col4 {\n",
+ "#T_67578_row47_col4 {\n",
" background-color: #f3e4e4;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row48_col0 {\n",
+ "#T_67578_row48_col0 {\n",
" background-color: #5ffc5f;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row48_col2, #T_8eb4f_row57_col2 {\n",
+ "#T_67578_row48_col2, #T_67578_row57_col2 {\n",
" background-color: #44fe44;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row48_col4 {\n",
+ "#T_67578_row48_col4 {\n",
" background-color: #f6bbbb;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row49_col0 {\n",
+ "#T_67578_row49_col0 {\n",
" background-color: #6bfb6b;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row49_col2, #T_8eb4f_row53_col2, #T_8eb4f_row58_col2 {\n",
+ "#T_67578_row49_col2, #T_67578_row53_col2, #T_67578_row58_col2 {\n",
" background-color: #55fd55;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row49_col4, #T_8eb4f_row54_col4 {\n",
+ "#T_67578_row49_col4, #T_67578_row54_col4 {\n",
" background-color: #f89090;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row50_col0 {\n",
+ "#T_67578_row50_col0 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row51_col4 {\n",
+ "#T_67578_row51_col4 {\n",
" background-color: #f6abab;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row52_col4 {\n",
+ "#T_67578_row52_col4 {\n",
" background-color: #f6b7b7;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row53_col4 {\n",
+ "#T_67578_row53_col4 {\n",
" background-color: #f4d0d0;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row55_col0 {\n",
+ "#T_67578_row55_col0 {\n",
" background-color: #64fc64;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row55_col2, #T_8eb4f_row59_col2 {\n",
+ "#T_67578_row55_col2, #T_67578_row59_col2 {\n",
" background-color: #4efd4e;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row55_col4 {\n",
+ "#T_67578_row55_col4 {\n",
" background-color: #f6b2b2;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row56_col2 {\n",
+ "#T_67578_row56_col2 {\n",
" background-color: #49fe49;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row56_col4 {\n",
+ "#T_67578_row56_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row57_col0 {\n",
+ "#T_67578_row57_col0 {\n",
" background-color: #67fc67;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row57_col4 {\n",
+ "#T_67578_row57_col4 {\n",
" background-color: #f7a0a0;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row58_col4 {\n",
+ "#T_67578_row58_col4 {\n",
" background-color: #f79595;\n",
" color: #000000;\n",
"}\n",
- "#T_8eb4f_row59_col4 {\n",
+ "#T_67578_row59_col4 {\n",
" background-color: #f6b3b3;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_8eb4f\">\n",
+ "<table id=\"T_67578\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_8eb4f_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
- " <th id=\"T_8eb4f_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " <th id=\"T_67578_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_67578_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_8eb4f_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_8eb4f_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_8eb4f_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_67578_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_67578_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_67578_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_8eb4f_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_8eb4f_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
- " <th id=\"T_8eb4f_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_8eb4f_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
- " <th id=\"T_8eb4f_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_8eb4f_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " <th id=\"T_67578_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_67578_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_67578_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_67578_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_67578_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_67578_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_8eb4f_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_8eb4f_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_8eb4f_row0_col0\" class=\"data row0 col0\" >91.10</td>\n",
- " <td id=\"T_8eb4f_row0_col1\" class=\"data row0 col1\" >3.61</td>\n",
- " <td id=\"T_8eb4f_row0_col2\" class=\"data row0 col2\" >99.09</td>\n",
- " <td id=\"T_8eb4f_row0_col3\" class=\"data row0 col3\" >1.36</td>\n",
- " <td id=\"T_8eb4f_row0_col4\" class=\"data row0 col4\" >1.40</td>\n",
- " <td id=\"T_8eb4f_row0_col5\" class=\"data row0 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_8eb4f_row1_col0\" class=\"data row1 col0\" >90.66</td>\n",
- " <td id=\"T_8eb4f_row1_col1\" class=\"data row1 col1\" >3.14</td>\n",
- " <td id=\"T_8eb4f_row1_col2\" class=\"data row1 col2\" >98.58</td>\n",
- " <td id=\"T_8eb4f_row1_col3\" class=\"data row1 col3\" >2.47</td>\n",
- " <td id=\"T_8eb4f_row1_col4\" class=\"data row1 col4\" >1.51</td>\n",
- " <td id=\"T_8eb4f_row1_col5\" class=\"data row1 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_8eb4f_row2_col0\" class=\"data row2 col0\" >91.48</td>\n",
- " <td id=\"T_8eb4f_row2_col1\" class=\"data row2 col1\" >3.07</td>\n",
- " <td id=\"T_8eb4f_row2_col2\" class=\"data row2 col2\" >98.57</td>\n",
- " <td id=\"T_8eb4f_row2_col3\" class=\"data row2 col3\" >2.66</td>\n",
- " <td id=\"T_8eb4f_row2_col4\" class=\"data row2 col4\" >1.53</td>\n",
- " <td id=\"T_8eb4f_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_8eb4f_row3_col0\" class=\"data row3 col0\" >91.14</td>\n",
- " <td id=\"T_8eb4f_row3_col1\" class=\"data row3 col1\" >3.80</td>\n",
- " <td id=\"T_8eb4f_row3_col2\" class=\"data row3 col2\" >98.21</td>\n",
- " <td id=\"T_8eb4f_row3_col3\" class=\"data row3 col3\" >2.67</td>\n",
- " <td id=\"T_8eb4f_row3_col4\" class=\"data row3 col4\" >1.45</td>\n",
- " <td id=\"T_8eb4f_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_8eb4f_row4_col0\" class=\"data row4 col0\" >84.62</td>\n",
- " <td id=\"T_8eb4f_row4_col1\" class=\"data row4 col1\" >4.28</td>\n",
- " <td id=\"T_8eb4f_row4_col2\" class=\"data row4 col2\" >91.56</td>\n",
- " <td id=\"T_8eb4f_row4_col3\" class=\"data row4 col3\" >5.02</td>\n",
- " <td id=\"T_8eb4f_row4_col4\" class=\"data row4 col4\" >2.15</td>\n",
- " <td id=\"T_8eb4f_row4_col5\" class=\"data row4 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_8eb4f_row5_col0\" class=\"data row5 col0\" >87.70</td>\n",
- " <td id=\"T_8eb4f_row5_col1\" class=\"data row5 col1\" >3.76</td>\n",
- " <td id=\"T_8eb4f_row5_col2\" class=\"data row5 col2\" >95.67</td>\n",
- " <td id=\"T_8eb4f_row5_col3\" class=\"data row5 col3\" >5.33</td>\n",
- " <td id=\"T_8eb4f_row5_col4\" class=\"data row5 col4\" >1.53</td>\n",
- " <td id=\"T_8eb4f_row5_col5\" class=\"data row5 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_8eb4f_row6_col0\" class=\"data row6 col0\" >88.99</td>\n",
- " <td id=\"T_8eb4f_row6_col1\" class=\"data row6 col1\" >3.48</td>\n",
- " <td id=\"T_8eb4f_row6_col2\" class=\"data row6 col2\" >97.12</td>\n",
- " <td id=\"T_8eb4f_row6_col3\" class=\"data row6 col3\" >3.13</td>\n",
- " <td id=\"T_8eb4f_row6_col4\" class=\"data row6 col4\" >1.51</td>\n",
- " <td id=\"T_8eb4f_row6_col5\" class=\"data row6 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_8eb4f_row7_col0\" class=\"data row7 col0\" >88.52</td>\n",
- " <td id=\"T_8eb4f_row7_col1\" class=\"data row7 col1\" >3.13</td>\n",
- " <td id=\"T_8eb4f_row7_col2\" class=\"data row7 col2\" >96.68</td>\n",
- " <td id=\"T_8eb4f_row7_col3\" class=\"data row7 col3\" >3.53</td>\n",
- " <td id=\"T_8eb4f_row7_col4\" class=\"data row7 col4\" >1.46</td>\n",
- " <td id=\"T_8eb4f_row7_col5\" class=\"data row7 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_8eb4f_row8_col0\" class=\"data row8 col0\" >88.74</td>\n",
- " <td id=\"T_8eb4f_row8_col1\" class=\"data row8 col1\" >3.49</td>\n",
- " <td id=\"T_8eb4f_row8_col2\" class=\"data row8 col2\" >98.34</td>\n",
- " <td id=\"T_8eb4f_row8_col3\" class=\"data row8 col3\" >2.18</td>\n",
- " <td id=\"T_8eb4f_row8_col4\" class=\"data row8 col4\" >1.37</td>\n",
- " <td id=\"T_8eb4f_row8_col5\" class=\"data row8 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_8eb4f_row9_col0\" class=\"data row9 col0\" >85.03</td>\n",
- " <td id=\"T_8eb4f_row9_col1\" class=\"data row9 col1\" >4.18</td>\n",
- " <td id=\"T_8eb4f_row9_col2\" class=\"data row9 col2\" >87.43</td>\n",
- " <td id=\"T_8eb4f_row9_col3\" class=\"data row9 col3\" >5.31</td>\n",
- " <td id=\"T_8eb4f_row9_col4\" class=\"data row9 col4\" >2.32</td>\n",
- " <td id=\"T_8eb4f_row9_col5\" class=\"data row9 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_8eb4f_row10_col0\" class=\"data row10 col0\" >88.68</td>\n",
- " <td id=\"T_8eb4f_row10_col1\" class=\"data row10 col1\" >2.85</td>\n",
- " <td id=\"T_8eb4f_row10_col2\" class=\"data row10 col2\" >96.43</td>\n",
- " <td id=\"T_8eb4f_row10_col3\" class=\"data row10 col3\" >4.64</td>\n",
- " <td id=\"T_8eb4f_row10_col4\" class=\"data row10 col4\" >1.52</td>\n",
- " <td id=\"T_8eb4f_row10_col5\" class=\"data row10 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_8eb4f_row11_col0\" class=\"data row11 col0\" >87.15</td>\n",
- " <td id=\"T_8eb4f_row11_col1\" class=\"data row11 col1\" >3.77</td>\n",
- " <td id=\"T_8eb4f_row11_col2\" class=\"data row11 col2\" >96.30</td>\n",
- " <td id=\"T_8eb4f_row11_col3\" class=\"data row11 col3\" >4.24</td>\n",
- " <td id=\"T_8eb4f_row11_col4\" class=\"data row11 col4\" >1.44</td>\n",
- " <td id=\"T_8eb4f_row11_col5\" class=\"data row11 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_8eb4f_row12_col0\" class=\"data row12 col0\" >89.27</td>\n",
- " <td id=\"T_8eb4f_row12_col1\" class=\"data row12 col1\" >3.41</td>\n",
- " <td id=\"T_8eb4f_row12_col2\" class=\"data row12 col2\" >98.30</td>\n",
- " <td id=\"T_8eb4f_row12_col3\" class=\"data row12 col3\" >2.23</td>\n",
- " <td id=\"T_8eb4f_row12_col4\" class=\"data row12 col4\" >1.37</td>\n",
- " <td id=\"T_8eb4f_row12_col5\" class=\"data row12 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_8eb4f_row13_col0\" class=\"data row13 col0\" >87.95</td>\n",
- " <td id=\"T_8eb4f_row13_col1\" class=\"data row13 col1\" >2.90</td>\n",
- " <td id=\"T_8eb4f_row13_col2\" class=\"data row13 col2\" >96.49</td>\n",
- " <td id=\"T_8eb4f_row13_col3\" class=\"data row13 col3\" >3.45</td>\n",
- " <td id=\"T_8eb4f_row13_col4\" class=\"data row13 col4\" >1.51</td>\n",
- " <td id=\"T_8eb4f_row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_8eb4f_row14_col0\" class=\"data row14 col0\" >84.24</td>\n",
- " <td id=\"T_8eb4f_row14_col1\" class=\"data row14 col1\" >5.45</td>\n",
- " <td id=\"T_8eb4f_row14_col2\" class=\"data row14 col2\" >87.63</td>\n",
- " <td id=\"T_8eb4f_row14_col3\" class=\"data row14 col3\" >6.26</td>\n",
- " <td id=\"T_8eb4f_row14_col4\" class=\"data row14 col4\" >2.35</td>\n",
- " <td id=\"T_8eb4f_row14_col5\" class=\"data row14 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_8eb4f_row15_col0\" class=\"data row15 col0\" >87.86</td>\n",
- " <td id=\"T_8eb4f_row15_col1\" class=\"data row15 col1\" >3.67</td>\n",
- " <td id=\"T_8eb4f_row15_col2\" class=\"data row15 col2\" >96.82</td>\n",
- " <td id=\"T_8eb4f_row15_col3\" class=\"data row15 col3\" >3.16</td>\n",
- " <td id=\"T_8eb4f_row15_col4\" class=\"data row15 col4\" >1.43</td>\n",
- " <td id=\"T_8eb4f_row15_col5\" class=\"data row15 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_8eb4f_row16_col0\" class=\"data row16 col0\" >89.13</td>\n",
- " <td id=\"T_8eb4f_row16_col1\" class=\"data row16 col1\" >3.39</td>\n",
- " <td id=\"T_8eb4f_row16_col2\" class=\"data row16 col2\" >97.86</td>\n",
- " <td id=\"T_8eb4f_row16_col3\" class=\"data row16 col3\" >2.75</td>\n",
- " <td id=\"T_8eb4f_row16_col4\" class=\"data row16 col4\" >1.37</td>\n",
- " <td id=\"T_8eb4f_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_8eb4f_row17_col0\" class=\"data row17 col0\" >88.53</td>\n",
- " <td id=\"T_8eb4f_row17_col1\" class=\"data row17 col1\" >2.85</td>\n",
- " <td id=\"T_8eb4f_row17_col2\" class=\"data row17 col2\" >96.11</td>\n",
- " <td id=\"T_8eb4f_row17_col3\" class=\"data row17 col3\" >4.21</td>\n",
- " <td id=\"T_8eb4f_row17_col4\" class=\"data row17 col4\" >1.53</td>\n",
- " <td id=\"T_8eb4f_row17_col5\" class=\"data row17 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_8eb4f_row18_col0\" class=\"data row18 col0\" >88.89</td>\n",
- " <td id=\"T_8eb4f_row18_col1\" class=\"data row18 col1\" >2.81</td>\n",
- " <td id=\"T_8eb4f_row18_col2\" class=\"data row18 col2\" >96.18</td>\n",
- " <td id=\"T_8eb4f_row18_col3\" class=\"data row18 col3\" >4.40</td>\n",
- " <td id=\"T_8eb4f_row18_col4\" class=\"data row18 col4\" >1.53</td>\n",
- " <td id=\"T_8eb4f_row18_col5\" class=\"data row18 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_8eb4f_row19_col0\" class=\"data row19 col0\" >83.47</td>\n",
- " <td id=\"T_8eb4f_row19_col1\" class=\"data row19 col1\" >5.66</td>\n",
- " <td id=\"T_8eb4f_row19_col2\" class=\"data row19 col2\" >87.62</td>\n",
- " <td id=\"T_8eb4f_row19_col3\" class=\"data row19 col3\" >5.86</td>\n",
- " <td id=\"T_8eb4f_row19_col4\" class=\"data row19 col4\" >2.23</td>\n",
- " <td id=\"T_8eb4f_row19_col5\" class=\"data row19 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_8eb4f_row20_col0\" class=\"data row20 col0\" >87.84</td>\n",
- " <td id=\"T_8eb4f_row20_col1\" class=\"data row20 col1\" >3.50</td>\n",
- " <td id=\"T_8eb4f_row20_col2\" class=\"data row20 col2\" >96.70</td>\n",
- " <td id=\"T_8eb4f_row20_col3\" class=\"data row20 col3\" >3.14</td>\n",
- " <td id=\"T_8eb4f_row20_col4\" class=\"data row20 col4\" >1.79</td>\n",
- " <td id=\"T_8eb4f_row20_col5\" class=\"data row20 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_8eb4f_row21_col0\" class=\"data row21 col0\" >88.11</td>\n",
- " <td id=\"T_8eb4f_row21_col1\" class=\"data row21 col1\" >4.04</td>\n",
- " <td id=\"T_8eb4f_row21_col2\" class=\"data row21 col2\" >92.95</td>\n",
- " <td id=\"T_8eb4f_row21_col3\" class=\"data row21 col3\" >6.07</td>\n",
- " <td id=\"T_8eb4f_row21_col4\" class=\"data row21 col4\" >2.00</td>\n",
- " <td id=\"T_8eb4f_row21_col5\" class=\"data row21 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_8eb4f_row22_col0\" class=\"data row22 col0\" >88.71</td>\n",
- " <td id=\"T_8eb4f_row22_col1\" class=\"data row22 col1\" >2.90</td>\n",
- " <td id=\"T_8eb4f_row22_col2\" class=\"data row22 col2\" >96.66</td>\n",
- " <td id=\"T_8eb4f_row22_col3\" class=\"data row22 col3\" >4.66</td>\n",
- " <td id=\"T_8eb4f_row22_col4\" class=\"data row22 col4\" >1.48</td>\n",
- " <td id=\"T_8eb4f_row22_col5\" class=\"data row22 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_8eb4f_row23_col0\" class=\"data row23 col0\" >87.62</td>\n",
- " <td id=\"T_8eb4f_row23_col1\" class=\"data row23 col1\" >4.08</td>\n",
- " <td id=\"T_8eb4f_row23_col2\" class=\"data row23 col2\" >96.17</td>\n",
- " <td id=\"T_8eb4f_row23_col3\" class=\"data row23 col3\" >4.01</td>\n",
- " <td id=\"T_8eb4f_row23_col4\" class=\"data row23 col4\" >1.43</td>\n",
- " <td id=\"T_8eb4f_row23_col5\" class=\"data row23 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_8eb4f_row24_col0\" class=\"data row24 col0\" >87.82</td>\n",
- " <td id=\"T_8eb4f_row24_col1\" class=\"data row24 col1\" >3.40</td>\n",
- " <td id=\"T_8eb4f_row24_col2\" class=\"data row24 col2\" >95.74</td>\n",
- " <td id=\"T_8eb4f_row24_col3\" class=\"data row24 col3\" >3.61</td>\n",
- " <td id=\"T_8eb4f_row24_col4\" class=\"data row24 col4\" >1.82</td>\n",
- " <td id=\"T_8eb4f_row24_col5\" class=\"data row24 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_8eb4f_row25_col0\" class=\"data row25 col0\" >88.20</td>\n",
- " <td id=\"T_8eb4f_row25_col1\" class=\"data row25 col1\" >3.14</td>\n",
- " <td id=\"T_8eb4f_row25_col2\" class=\"data row25 col2\" >96.70</td>\n",
- " <td id=\"T_8eb4f_row25_col3\" class=\"data row25 col3\" >4.32</td>\n",
- " <td id=\"T_8eb4f_row25_col4\" class=\"data row25 col4\" >1.49</td>\n",
- " <td id=\"T_8eb4f_row25_col5\" class=\"data row25 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_8eb4f_row26_col0\" class=\"data row26 col0\" >88.03</td>\n",
- " <td id=\"T_8eb4f_row26_col1\" class=\"data row26 col1\" >3.75</td>\n",
- " <td id=\"T_8eb4f_row26_col2\" class=\"data row26 col2\" >93.95</td>\n",
- " <td id=\"T_8eb4f_row26_col3\" class=\"data row26 col3\" >4.63</td>\n",
- " <td id=\"T_8eb4f_row26_col4\" class=\"data row26 col4\" >1.99</td>\n",
- " <td id=\"T_8eb4f_row26_col5\" class=\"data row26 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_8eb4f_row27_col0\" class=\"data row27 col0\" >87.30</td>\n",
- " <td id=\"T_8eb4f_row27_col1\" class=\"data row27 col1\" >3.90</td>\n",
- " <td id=\"T_8eb4f_row27_col2\" class=\"data row27 col2\" >96.50</td>\n",
- " <td id=\"T_8eb4f_row27_col3\" class=\"data row27 col3\" >3.55</td>\n",
- " <td id=\"T_8eb4f_row27_col4\" class=\"data row27 col4\" >1.41</td>\n",
- " <td id=\"T_8eb4f_row27_col5\" class=\"data row27 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_8eb4f_row28_col0\" class=\"data row28 col0\" >87.76</td>\n",
- " <td id=\"T_8eb4f_row28_col1\" class=\"data row28 col1\" >3.68</td>\n",
- " <td id=\"T_8eb4f_row28_col2\" class=\"data row28 col2\" >96.15</td>\n",
- " <td id=\"T_8eb4f_row28_col3\" class=\"data row28 col3\" >4.70</td>\n",
- " <td id=\"T_8eb4f_row28_col4\" class=\"data row28 col4\" >1.78</td>\n",
- " <td id=\"T_8eb4f_row28_col5\" class=\"data row28 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_8eb4f_row29_col0\" class=\"data row29 col0\" >87.70</td>\n",
- " <td id=\"T_8eb4f_row29_col1\" class=\"data row29 col1\" >3.16</td>\n",
- " <td id=\"T_8eb4f_row29_col2\" class=\"data row29 col2\" >96.53</td>\n",
- " <td id=\"T_8eb4f_row29_col3\" class=\"data row29 col3\" >3.36</td>\n",
- " <td id=\"T_8eb4f_row29_col4\" class=\"data row29 col4\" >1.51</td>\n",
- " <td id=\"T_8eb4f_row29_col5\" class=\"data row29 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_8eb4f_row30_col0\" class=\"data row30 col0\" >89.32</td>\n",
- " <td id=\"T_8eb4f_row30_col1\" class=\"data row30 col1\" >2.99</td>\n",
- " <td id=\"T_8eb4f_row30_col2\" class=\"data row30 col2\" >96.18</td>\n",
- " <td id=\"T_8eb4f_row30_col3\" class=\"data row30 col3\" >4.29</td>\n",
- " <td id=\"T_8eb4f_row30_col4\" class=\"data row30 col4\" >1.48</td>\n",
- " <td id=\"T_8eb4f_row30_col5\" class=\"data row30 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_8eb4f_row31_col0\" class=\"data row31 col0\" >87.44</td>\n",
- " <td id=\"T_8eb4f_row31_col1\" class=\"data row31 col1\" >5.50</td>\n",
- " <td id=\"T_8eb4f_row31_col2\" class=\"data row31 col2\" >93.65</td>\n",
- " <td id=\"T_8eb4f_row31_col3\" class=\"data row31 col3\" >5.34</td>\n",
- " <td id=\"T_8eb4f_row31_col4\" class=\"data row31 col4\" >1.87</td>\n",
- " <td id=\"T_8eb4f_row31_col5\" class=\"data row31 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_8eb4f_row32_col0\" class=\"data row32 col0\" >88.91</td>\n",
- " <td id=\"T_8eb4f_row32_col1\" class=\"data row32 col1\" >3.40</td>\n",
- " <td id=\"T_8eb4f_row32_col2\" class=\"data row32 col2\" >97.90</td>\n",
- " <td id=\"T_8eb4f_row32_col3\" class=\"data row32 col3\" >2.72</td>\n",
- " <td id=\"T_8eb4f_row32_col4\" class=\"data row32 col4\" >1.35</td>\n",
- " <td id=\"T_8eb4f_row32_col5\" class=\"data row32 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_8eb4f_row33_col0\" class=\"data row33 col0\" >87.63</td>\n",
- " <td id=\"T_8eb4f_row33_col1\" class=\"data row33 col1\" >3.49</td>\n",
- " <td id=\"T_8eb4f_row33_col2\" class=\"data row33 col2\" >94.76</td>\n",
- " <td id=\"T_8eb4f_row33_col3\" class=\"data row33 col3\" >4.33</td>\n",
- " <td id=\"T_8eb4f_row33_col4\" class=\"data row33 col4\" >1.89</td>\n",
- " <td id=\"T_8eb4f_row33_col5\" class=\"data row33 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_8eb4f_row34_col0\" class=\"data row34 col0\" >87.92</td>\n",
- " <td id=\"T_8eb4f_row34_col1\" class=\"data row34 col1\" >4.29</td>\n",
- " <td id=\"T_8eb4f_row34_col2\" class=\"data row34 col2\" >94.49</td>\n",
- " <td id=\"T_8eb4f_row34_col3\" class=\"data row34 col3\" >4.48</td>\n",
- " <td id=\"T_8eb4f_row34_col4\" class=\"data row34 col4\" >2.00</td>\n",
- " <td id=\"T_8eb4f_row34_col5\" class=\"data row34 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_8eb4f_row35_col0\" class=\"data row35 col0\" >87.00</td>\n",
- " <td id=\"T_8eb4f_row35_col1\" class=\"data row35 col1\" >3.66</td>\n",
- " <td id=\"T_8eb4f_row35_col2\" class=\"data row35 col2\" >96.77</td>\n",
- " <td id=\"T_8eb4f_row35_col3\" class=\"data row35 col3\" >3.47</td>\n",
- " <td id=\"T_8eb4f_row35_col4\" class=\"data row35 col4\" >1.41</td>\n",
- " <td id=\"T_8eb4f_row35_col5\" class=\"data row35 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_8eb4f_row36_col0\" class=\"data row36 col0\" >88.88</td>\n",
- " <td id=\"T_8eb4f_row36_col1\" class=\"data row36 col1\" >3.11</td>\n",
- " <td id=\"T_8eb4f_row36_col2\" class=\"data row36 col2\" >98.25</td>\n",
- " <td id=\"T_8eb4f_row36_col3\" class=\"data row36 col3\" >2.38</td>\n",
- " <td id=\"T_8eb4f_row36_col4\" class=\"data row36 col4\" >1.34</td>\n",
- " <td id=\"T_8eb4f_row36_col5\" class=\"data row36 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_8eb4f_row37_col0\" class=\"data row37 col0\" >87.35</td>\n",
- " <td id=\"T_8eb4f_row37_col1\" class=\"data row37 col1\" >4.13</td>\n",
- " <td id=\"T_8eb4f_row37_col2\" class=\"data row37 col2\" >94.24</td>\n",
- " <td id=\"T_8eb4f_row37_col3\" class=\"data row37 col3\" >4.14</td>\n",
- " <td id=\"T_8eb4f_row37_col4\" class=\"data row37 col4\" >1.91</td>\n",
- " <td id=\"T_8eb4f_row37_col5\" class=\"data row37 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_8eb4f_row38_col0\" class=\"data row38 col0\" >88.27</td>\n",
- " <td id=\"T_8eb4f_row38_col1\" class=\"data row38 col1\" >3.09</td>\n",
- " <td id=\"T_8eb4f_row38_col2\" class=\"data row38 col2\" >97.05</td>\n",
- " <td id=\"T_8eb4f_row38_col3\" class=\"data row38 col3\" >3.36</td>\n",
- " <td id=\"T_8eb4f_row38_col4\" class=\"data row38 col4\" >1.50</td>\n",
- " <td id=\"T_8eb4f_row38_col5\" class=\"data row38 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_8eb4f_row39_col0\" class=\"data row39 col0\" >86.12</td>\n",
- " <td id=\"T_8eb4f_row39_col1\" class=\"data row39 col1\" >5.22</td>\n",
- " <td id=\"T_8eb4f_row39_col2\" class=\"data row39 col2\" >94.75</td>\n",
- " <td id=\"T_8eb4f_row39_col3\" class=\"data row39 col3\" >4.62</td>\n",
- " <td id=\"T_8eb4f_row39_col4\" class=\"data row39 col4\" >1.86</td>\n",
- " <td id=\"T_8eb4f_row39_col5\" class=\"data row39 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_8eb4f_row40_col0\" class=\"data row40 col0\" >89.26</td>\n",
- " <td id=\"T_8eb4f_row40_col1\" class=\"data row40 col1\" >3.30</td>\n",
- " <td id=\"T_8eb4f_row40_col2\" class=\"data row40 col2\" >98.12</td>\n",
- " <td id=\"T_8eb4f_row40_col3\" class=\"data row40 col3\" >2.41</td>\n",
- " <td id=\"T_8eb4f_row40_col4\" class=\"data row40 col4\" >1.35</td>\n",
- " <td id=\"T_8eb4f_row40_col5\" class=\"data row40 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_8eb4f_row41_col0\" class=\"data row41 col0\" >87.69</td>\n",
- " <td id=\"T_8eb4f_row41_col1\" class=\"data row41 col1\" >3.13</td>\n",
- " <td id=\"T_8eb4f_row41_col2\" class=\"data row41 col2\" >96.54</td>\n",
- " <td id=\"T_8eb4f_row41_col3\" class=\"data row41 col3\" >3.97</td>\n",
- " <td id=\"T_8eb4f_row41_col4\" class=\"data row41 col4\" >1.49</td>\n",
- " <td id=\"T_8eb4f_row41_col5\" class=\"data row41 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_8eb4f_row42_col0\" class=\"data row42 col0\" >87.79</td>\n",
- " <td id=\"T_8eb4f_row42_col1\" class=\"data row42 col1\" >4.38</td>\n",
- " <td id=\"T_8eb4f_row42_col2\" class=\"data row42 col2\" >95.06</td>\n",
- " <td id=\"T_8eb4f_row42_col3\" class=\"data row42 col3\" >3.03</td>\n",
- " <td id=\"T_8eb4f_row42_col4\" class=\"data row42 col4\" >1.98</td>\n",
- " <td id=\"T_8eb4f_row42_col5\" class=\"data row42 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_8eb4f_row43_col0\" class=\"data row43 col0\" >87.06</td>\n",
- " <td id=\"T_8eb4f_row43_col1\" class=\"data row43 col1\" >3.99</td>\n",
- " <td id=\"T_8eb4f_row43_col2\" class=\"data row43 col2\" >94.67</td>\n",
- " <td id=\"T_8eb4f_row43_col3\" class=\"data row43 col3\" >4.21</td>\n",
- " <td id=\"T_8eb4f_row43_col4\" class=\"data row43 col4\" >1.84</td>\n",
- " <td id=\"T_8eb4f_row43_col5\" class=\"data row43 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_8eb4f_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_8eb4f_row44_col0\" class=\"data row44 col0\" >89.97</td>\n",
- " <td id=\"T_8eb4f_row44_col1\" class=\"data row44 col1\" >3.19</td>\n",
- " <td id=\"T_8eb4f_row44_col2\" class=\"data row44 col2\" >97.92</td>\n",
- " <td id=\"T_8eb4f_row44_col3\" class=\"data row44 col3\" >2.86</td>\n",
- " <td id=\"T_8eb4f_row44_col4\" class=\"data row44 col4\" >1.57</td>\n",
- " <td id=\"T_8eb4f_row44_col5\" class=\"data row44 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_8eb4f_row45_col0\" class=\"data row45 col0\" >89.72</td>\n",
- " <td id=\"T_8eb4f_row45_col1\" class=\"data row45 col1\" >2.96</td>\n",
- " <td id=\"T_8eb4f_row45_col2\" class=\"data row45 col2\" >97.25</td>\n",
- " <td id=\"T_8eb4f_row45_col3\" class=\"data row45 col3\" >3.05</td>\n",
- " <td id=\"T_8eb4f_row45_col4\" class=\"data row45 col4\" >1.70</td>\n",
- " <td id=\"T_8eb4f_row45_col5\" class=\"data row45 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_8eb4f_row46_col0\" class=\"data row46 col0\" >89.29</td>\n",
- " <td id=\"T_8eb4f_row46_col1\" class=\"data row46 col1\" >3.89</td>\n",
- " <td id=\"T_8eb4f_row46_col2\" class=\"data row46 col2\" >97.06</td>\n",
- " <td id=\"T_8eb4f_row46_col3\" class=\"data row46 col3\" >3.05</td>\n",
- " <td id=\"T_8eb4f_row46_col4\" class=\"data row46 col4\" >1.74</td>\n",
- " <td id=\"T_8eb4f_row46_col5\" class=\"data row46 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_8eb4f_row47_col0\" class=\"data row47 col0\" >86.67</td>\n",
- " <td id=\"T_8eb4f_row47_col1\" class=\"data row47 col1\" >3.82</td>\n",
- " <td id=\"T_8eb4f_row47_col2\" class=\"data row47 col2\" >96.46</td>\n",
- " <td id=\"T_8eb4f_row47_col3\" class=\"data row47 col3\" >4.71</td>\n",
- " <td id=\"T_8eb4f_row47_col4\" class=\"data row47 col4\" >1.38</td>\n",
- " <td id=\"T_8eb4f_row47_col5\" class=\"data row47 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_8eb4f_row48_col0\" class=\"data row48 col0\" >89.60</td>\n",
- " <td id=\"T_8eb4f_row48_col1\" class=\"data row48 col1\" >3.59</td>\n",
- " <td id=\"T_8eb4f_row48_col2\" class=\"data row48 col2\" >98.04</td>\n",
- " <td id=\"T_8eb4f_row48_col3\" class=\"data row48 col3\" >2.37</td>\n",
- " <td id=\"T_8eb4f_row48_col4\" class=\"data row48 col4\" >1.55</td>\n",
- " <td id=\"T_8eb4f_row48_col5\" class=\"data row48 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_8eb4f_row49_col0\" class=\"data row49 col0\" >89.05</td>\n",
- " <td id=\"T_8eb4f_row49_col1\" class=\"data row49 col1\" >3.83</td>\n",
- " <td id=\"T_8eb4f_row49_col2\" class=\"data row49 col2\" >96.97</td>\n",
- " <td id=\"T_8eb4f_row49_col3\" class=\"data row49 col3\" >2.85</td>\n",
- " <td id=\"T_8eb4f_row49_col4\" class=\"data row49 col4\" >1.74</td>\n",
- " <td id=\"T_8eb4f_row49_col5\" class=\"data row49 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_8eb4f_row50_col0\" class=\"data row50 col0\" >88.40</td>\n",
- " <td id=\"T_8eb4f_row50_col1\" class=\"data row50 col1\" >3.29</td>\n",
- " <td id=\"T_8eb4f_row50_col2\" class=\"data row50 col2\" >96.45</td>\n",
- " <td id=\"T_8eb4f_row50_col3\" class=\"data row50 col3\" >4.23</td>\n",
- " <td id=\"T_8eb4f_row50_col4\" class=\"data row50 col4\" >1.46</td>\n",
- " <td id=\"T_8eb4f_row50_col5\" class=\"data row50 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_8eb4f_row51_col0\" class=\"data row51 col0\" >89.54</td>\n",
- " <td id=\"T_8eb4f_row51_col1\" class=\"data row51 col1\" >3.68</td>\n",
- " <td id=\"T_8eb4f_row51_col2\" class=\"data row51 col2\" >96.42</td>\n",
- " <td id=\"T_8eb4f_row51_col3\" class=\"data row51 col3\" >4.13</td>\n",
- " <td id=\"T_8eb4f_row51_col4\" class=\"data row51 col4\" >1.62</td>\n",
- " <td id=\"T_8eb4f_row51_col5\" class=\"data row51 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_8eb4f_row52_col0\" class=\"data row52 col0\" >89.39</td>\n",
- " <td id=\"T_8eb4f_row52_col1\" class=\"data row52 col1\" >3.14</td>\n",
- " <td id=\"T_8eb4f_row52_col2\" class=\"data row52 col2\" >98.22</td>\n",
- " <td id=\"T_8eb4f_row52_col3\" class=\"data row52 col3\" >2.30</td>\n",
- " <td id=\"T_8eb4f_row52_col4\" class=\"data row52 col4\" >1.57</td>\n",
- " <td id=\"T_8eb4f_row52_col5\" class=\"data row52 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_8eb4f_row53_col0\" class=\"data row53 col0\" >87.77</td>\n",
- " <td id=\"T_8eb4f_row53_col1\" class=\"data row53 col1\" >3.38</td>\n",
- " <td id=\"T_8eb4f_row53_col2\" class=\"data row53 col2\" >96.95</td>\n",
- " <td id=\"T_8eb4f_row53_col3\" class=\"data row53 col3\" >3.26</td>\n",
- " <td id=\"T_8eb4f_row53_col4\" class=\"data row53 col4\" >1.47</td>\n",
- " <td id=\"T_8eb4f_row53_col5\" class=\"data row53 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_8eb4f_row54_col0\" class=\"data row54 col0\" >89.72</td>\n",
- " <td id=\"T_8eb4f_row54_col1\" class=\"data row54 col1\" >3.52</td>\n",
- " <td id=\"T_8eb4f_row54_col2\" class=\"data row54 col2\" >96.76</td>\n",
- " <td id=\"T_8eb4f_row54_col3\" class=\"data row54 col3\" >3.23</td>\n",
- " <td id=\"T_8eb4f_row54_col4\" class=\"data row54 col4\" >1.74</td>\n",
- " <td id=\"T_8eb4f_row54_col5\" class=\"data row54 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_8eb4f_row55_col0\" class=\"data row55 col0\" >89.35</td>\n",
- " <td id=\"T_8eb4f_row55_col1\" class=\"data row55 col1\" >3.94</td>\n",
- " <td id=\"T_8eb4f_row55_col2\" class=\"data row55 col2\" >97.42</td>\n",
- " <td id=\"T_8eb4f_row55_col3\" class=\"data row55 col3\" >3.06</td>\n",
- " <td id=\"T_8eb4f_row55_col4\" class=\"data row55 col4\" >1.59</td>\n",
- " <td id=\"T_8eb4f_row55_col5\" class=\"data row55 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_8eb4f_row56_col0\" class=\"data row56 col0\" >88.15</td>\n",
- " <td id=\"T_8eb4f_row56_col1\" class=\"data row56 col1\" >3.61</td>\n",
- " <td id=\"T_8eb4f_row56_col2\" class=\"data row56 col2\" >97.73</td>\n",
- " <td id=\"T_8eb4f_row56_col3\" class=\"data row56 col3\" >3.40</td>\n",
- " <td id=\"T_8eb4f_row56_col4\" class=\"data row56 col4\" >1.33</td>\n",
- " <td id=\"T_8eb4f_row56_col5\" class=\"data row56 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_8eb4f_row57_col0\" class=\"data row57 col0\" >89.24</td>\n",
- " <td id=\"T_8eb4f_row57_col1\" class=\"data row57 col1\" >3.20</td>\n",
- " <td id=\"T_8eb4f_row57_col2\" class=\"data row57 col2\" >98.08</td>\n",
- " <td id=\"T_8eb4f_row57_col3\" class=\"data row57 col3\" >1.89</td>\n",
- " <td id=\"T_8eb4f_row57_col4\" class=\"data row57 col4\" >1.67</td>\n",
- " <td id=\"T_8eb4f_row57_col5\" class=\"data row57 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_8eb4f_row58_col0\" class=\"data row58 col0\" >89.29</td>\n",
- " <td id=\"T_8eb4f_row58_col1\" class=\"data row58 col1\" >3.42</td>\n",
- " <td id=\"T_8eb4f_row58_col2\" class=\"data row58 col2\" >96.97</td>\n",
- " <td id=\"T_8eb4f_row58_col3\" class=\"data row58 col3\" >3.11</td>\n",
- " <td id=\"T_8eb4f_row58_col4\" class=\"data row58 col4\" >1.72</td>\n",
- " <td id=\"T_8eb4f_row58_col5\" class=\"data row58 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_8eb4f_row59_col0\" class=\"data row59 col0\" >89.62</td>\n",
- " <td id=\"T_8eb4f_row59_col1\" class=\"data row59 col1\" >3.84</td>\n",
- " <td id=\"T_8eb4f_row59_col2\" class=\"data row59 col2\" >97.45</td>\n",
- " <td id=\"T_8eb4f_row59_col3\" class=\"data row59 col3\" >3.19</td>\n",
- " <td id=\"T_8eb4f_row59_col4\" class=\"data row59 col4\" >1.59</td>\n",
- " <td id=\"T_8eb4f_row59_col5\" class=\"data row59 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_8eb4f_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_8eb4f_row60_col0\" class=\"data row60 col0\" >91.10</td>\n",
- " <td id=\"T_8eb4f_row60_col1\" class=\"data row60 col1\" >3.61</td>\n",
- " <td id=\"T_8eb4f_row60_col2\" class=\"data row60 col2\" >99.09</td>\n",
- " <td id=\"T_8eb4f_row60_col3\" class=\"data row60 col3\" >1.36</td>\n",
- " <td id=\"T_8eb4f_row60_col4\" class=\"data row60 col4\" >1.40</td>\n",
- " <td id=\"T_8eb4f_row60_col5\" class=\"data row60 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_8eb4f_row61_col0\" class=\"data row61 col0\" >90.66</td>\n",
- " <td id=\"T_8eb4f_row61_col1\" class=\"data row61 col1\" >3.14</td>\n",
- " <td id=\"T_8eb4f_row61_col2\" class=\"data row61 col2\" >98.58</td>\n",
- " <td id=\"T_8eb4f_row61_col3\" class=\"data row61 col3\" >2.47</td>\n",
- " <td id=\"T_8eb4f_row61_col4\" class=\"data row61 col4\" >1.51</td>\n",
- " <td id=\"T_8eb4f_row61_col5\" class=\"data row61 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_8eb4f_row62_col0\" class=\"data row62 col0\" >91.48</td>\n",
- " <td id=\"T_8eb4f_row62_col1\" class=\"data row62 col1\" >3.07</td>\n",
- " <td id=\"T_8eb4f_row62_col2\" class=\"data row62 col2\" >98.57</td>\n",
- " <td id=\"T_8eb4f_row62_col3\" class=\"data row62 col3\" >2.66</td>\n",
- " <td id=\"T_8eb4f_row62_col4\" class=\"data row62 col4\" >1.53</td>\n",
- " <td id=\"T_8eb4f_row62_col5\" class=\"data row62 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8eb4f_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_8eb4f_row63_col0\" class=\"data row63 col0\" >91.14</td>\n",
- " <td id=\"T_8eb4f_row63_col1\" class=\"data row63 col1\" >3.80</td>\n",
- " <td id=\"T_8eb4f_row63_col2\" class=\"data row63 col2\" >98.21</td>\n",
- " <td id=\"T_8eb4f_row63_col3\" class=\"data row63 col3\" >2.67</td>\n",
- " <td id=\"T_8eb4f_row63_col4\" class=\"data row63 col4\" >1.45</td>\n",
- " <td id=\"T_8eb4f_row63_col5\" class=\"data row63 col5\" >0.09</td>\n",
+ " <th id=\"T_67578_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_67578_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_67578_row0_col0\" class=\"data row0 col0\" >91.10</td>\n",
+ " <td id=\"T_67578_row0_col1\" class=\"data row0 col1\" >3.61</td>\n",
+ " <td id=\"T_67578_row0_col2\" class=\"data row0 col2\" >99.09</td>\n",
+ " <td id=\"T_67578_row0_col3\" class=\"data row0 col3\" >1.36</td>\n",
+ " <td id=\"T_67578_row0_col4\" class=\"data row0 col4\" >1.40</td>\n",
+ " <td id=\"T_67578_row0_col5\" class=\"data row0 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_67578_row1_col0\" class=\"data row1 col0\" >90.66</td>\n",
+ " <td id=\"T_67578_row1_col1\" class=\"data row1 col1\" >3.14</td>\n",
+ " <td id=\"T_67578_row1_col2\" class=\"data row1 col2\" >98.58</td>\n",
+ " <td id=\"T_67578_row1_col3\" class=\"data row1 col3\" >2.47</td>\n",
+ " <td id=\"T_67578_row1_col4\" class=\"data row1 col4\" >1.51</td>\n",
+ " <td id=\"T_67578_row1_col5\" class=\"data row1 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_67578_row2_col0\" class=\"data row2 col0\" >91.48</td>\n",
+ " <td id=\"T_67578_row2_col1\" class=\"data row2 col1\" >3.07</td>\n",
+ " <td id=\"T_67578_row2_col2\" class=\"data row2 col2\" >98.57</td>\n",
+ " <td id=\"T_67578_row2_col3\" class=\"data row2 col3\" >2.66</td>\n",
+ " <td id=\"T_67578_row2_col4\" class=\"data row2 col4\" >1.53</td>\n",
+ " <td id=\"T_67578_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_67578_row3_col0\" class=\"data row3 col0\" >91.14</td>\n",
+ " <td id=\"T_67578_row3_col1\" class=\"data row3 col1\" >3.80</td>\n",
+ " <td id=\"T_67578_row3_col2\" class=\"data row3 col2\" >98.21</td>\n",
+ " <td id=\"T_67578_row3_col3\" class=\"data row3 col3\" >2.67</td>\n",
+ " <td id=\"T_67578_row3_col4\" class=\"data row3 col4\" >1.45</td>\n",
+ " <td id=\"T_67578_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_67578_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_67578_row4_col0\" class=\"data row4 col0\" >84.62</td>\n",
+ " <td id=\"T_67578_row4_col1\" class=\"data row4 col1\" >4.28</td>\n",
+ " <td id=\"T_67578_row4_col2\" class=\"data row4 col2\" >91.56</td>\n",
+ " <td id=\"T_67578_row4_col3\" class=\"data row4 col3\" >5.02</td>\n",
+ " <td id=\"T_67578_row4_col4\" class=\"data row4 col4\" >2.15</td>\n",
+ " <td id=\"T_67578_row4_col5\" class=\"data row4 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_67578_row5_col0\" class=\"data row5 col0\" >87.70</td>\n",
+ " <td id=\"T_67578_row5_col1\" class=\"data row5 col1\" >3.76</td>\n",
+ " <td id=\"T_67578_row5_col2\" class=\"data row5 col2\" >95.67</td>\n",
+ " <td id=\"T_67578_row5_col3\" class=\"data row5 col3\" >5.33</td>\n",
+ " <td id=\"T_67578_row5_col4\" class=\"data row5 col4\" >1.53</td>\n",
+ " <td id=\"T_67578_row5_col5\" class=\"data row5 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_67578_row6_col0\" class=\"data row6 col0\" >88.99</td>\n",
+ " <td id=\"T_67578_row6_col1\" class=\"data row6 col1\" >3.48</td>\n",
+ " <td id=\"T_67578_row6_col2\" class=\"data row6 col2\" >97.12</td>\n",
+ " <td id=\"T_67578_row6_col3\" class=\"data row6 col3\" >3.13</td>\n",
+ " <td id=\"T_67578_row6_col4\" class=\"data row6 col4\" >1.51</td>\n",
+ " <td id=\"T_67578_row6_col5\" class=\"data row6 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_67578_row7_col0\" class=\"data row7 col0\" >88.52</td>\n",
+ " <td id=\"T_67578_row7_col1\" class=\"data row7 col1\" >3.13</td>\n",
+ " <td id=\"T_67578_row7_col2\" class=\"data row7 col2\" >96.68</td>\n",
+ " <td id=\"T_67578_row7_col3\" class=\"data row7 col3\" >3.53</td>\n",
+ " <td id=\"T_67578_row7_col4\" class=\"data row7 col4\" >1.46</td>\n",
+ " <td id=\"T_67578_row7_col5\" class=\"data row7 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_67578_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_67578_row8_col0\" class=\"data row8 col0\" >88.74</td>\n",
+ " <td id=\"T_67578_row8_col1\" class=\"data row8 col1\" >3.49</td>\n",
+ " <td id=\"T_67578_row8_col2\" class=\"data row8 col2\" >98.34</td>\n",
+ " <td id=\"T_67578_row8_col3\" class=\"data row8 col3\" >2.18</td>\n",
+ " <td id=\"T_67578_row8_col4\" class=\"data row8 col4\" >1.37</td>\n",
+ " <td id=\"T_67578_row8_col5\" class=\"data row8 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_67578_row9_col0\" class=\"data row9 col0\" >85.03</td>\n",
+ " <td id=\"T_67578_row9_col1\" class=\"data row9 col1\" >4.18</td>\n",
+ " <td id=\"T_67578_row9_col2\" class=\"data row9 col2\" >87.43</td>\n",
+ " <td id=\"T_67578_row9_col3\" class=\"data row9 col3\" >5.31</td>\n",
+ " <td id=\"T_67578_row9_col4\" class=\"data row9 col4\" >2.32</td>\n",
+ " <td id=\"T_67578_row9_col5\" class=\"data row9 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_67578_row10_col0\" class=\"data row10 col0\" >88.68</td>\n",
+ " <td id=\"T_67578_row10_col1\" class=\"data row10 col1\" >2.85</td>\n",
+ " <td id=\"T_67578_row10_col2\" class=\"data row10 col2\" >96.43</td>\n",
+ " <td id=\"T_67578_row10_col3\" class=\"data row10 col3\" >4.64</td>\n",
+ " <td id=\"T_67578_row10_col4\" class=\"data row10 col4\" >1.52</td>\n",
+ " <td id=\"T_67578_row10_col5\" class=\"data row10 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_67578_row11_col0\" class=\"data row11 col0\" >87.15</td>\n",
+ " <td id=\"T_67578_row11_col1\" class=\"data row11 col1\" >3.77</td>\n",
+ " <td id=\"T_67578_row11_col2\" class=\"data row11 col2\" >96.30</td>\n",
+ " <td id=\"T_67578_row11_col3\" class=\"data row11 col3\" >4.24</td>\n",
+ " <td id=\"T_67578_row11_col4\" class=\"data row11 col4\" >1.44</td>\n",
+ " <td id=\"T_67578_row11_col5\" class=\"data row11 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_67578_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_67578_row12_col0\" class=\"data row12 col0\" >89.27</td>\n",
+ " <td id=\"T_67578_row12_col1\" class=\"data row12 col1\" >3.41</td>\n",
+ " <td id=\"T_67578_row12_col2\" class=\"data row12 col2\" >98.30</td>\n",
+ " <td id=\"T_67578_row12_col3\" class=\"data row12 col3\" >2.23</td>\n",
+ " <td id=\"T_67578_row12_col4\" class=\"data row12 col4\" >1.37</td>\n",
+ " <td id=\"T_67578_row12_col5\" class=\"data row12 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_67578_row13_col0\" class=\"data row13 col0\" >87.95</td>\n",
+ " <td id=\"T_67578_row13_col1\" class=\"data row13 col1\" >2.90</td>\n",
+ " <td id=\"T_67578_row13_col2\" class=\"data row13 col2\" >96.49</td>\n",
+ " <td id=\"T_67578_row13_col3\" class=\"data row13 col3\" >3.45</td>\n",
+ " <td id=\"T_67578_row13_col4\" class=\"data row13 col4\" >1.51</td>\n",
+ " <td id=\"T_67578_row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_67578_row14_col0\" class=\"data row14 col0\" >84.24</td>\n",
+ " <td id=\"T_67578_row14_col1\" class=\"data row14 col1\" >5.45</td>\n",
+ " <td id=\"T_67578_row14_col2\" class=\"data row14 col2\" >87.63</td>\n",
+ " <td id=\"T_67578_row14_col3\" class=\"data row14 col3\" >6.26</td>\n",
+ " <td id=\"T_67578_row14_col4\" class=\"data row14 col4\" >2.35</td>\n",
+ " <td id=\"T_67578_row14_col5\" class=\"data row14 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_67578_row15_col0\" class=\"data row15 col0\" >87.86</td>\n",
+ " <td id=\"T_67578_row15_col1\" class=\"data row15 col1\" >3.67</td>\n",
+ " <td id=\"T_67578_row15_col2\" class=\"data row15 col2\" >96.82</td>\n",
+ " <td id=\"T_67578_row15_col3\" class=\"data row15 col3\" >3.16</td>\n",
+ " <td id=\"T_67578_row15_col4\" class=\"data row15 col4\" >1.43</td>\n",
+ " <td id=\"T_67578_row15_col5\" class=\"data row15 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_67578_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_67578_row16_col0\" class=\"data row16 col0\" >89.13</td>\n",
+ " <td id=\"T_67578_row16_col1\" class=\"data row16 col1\" >3.39</td>\n",
+ " <td id=\"T_67578_row16_col2\" class=\"data row16 col2\" >97.86</td>\n",
+ " <td id=\"T_67578_row16_col3\" class=\"data row16 col3\" >2.75</td>\n",
+ " <td id=\"T_67578_row16_col4\" class=\"data row16 col4\" >1.37</td>\n",
+ " <td id=\"T_67578_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_67578_row17_col0\" class=\"data row17 col0\" >88.53</td>\n",
+ " <td id=\"T_67578_row17_col1\" class=\"data row17 col1\" >2.85</td>\n",
+ " <td id=\"T_67578_row17_col2\" class=\"data row17 col2\" >96.11</td>\n",
+ " <td id=\"T_67578_row17_col3\" class=\"data row17 col3\" >4.21</td>\n",
+ " <td id=\"T_67578_row17_col4\" class=\"data row17 col4\" >1.53</td>\n",
+ " <td id=\"T_67578_row17_col5\" class=\"data row17 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_67578_row18_col0\" class=\"data row18 col0\" >88.89</td>\n",
+ " <td id=\"T_67578_row18_col1\" class=\"data row18 col1\" >2.81</td>\n",
+ " <td id=\"T_67578_row18_col2\" class=\"data row18 col2\" >96.18</td>\n",
+ " <td id=\"T_67578_row18_col3\" class=\"data row18 col3\" >4.40</td>\n",
+ " <td id=\"T_67578_row18_col4\" class=\"data row18 col4\" >1.53</td>\n",
+ " <td id=\"T_67578_row18_col5\" class=\"data row18 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_67578_row19_col0\" class=\"data row19 col0\" >83.47</td>\n",
+ " <td id=\"T_67578_row19_col1\" class=\"data row19 col1\" >5.66</td>\n",
+ " <td id=\"T_67578_row19_col2\" class=\"data row19 col2\" >87.62</td>\n",
+ " <td id=\"T_67578_row19_col3\" class=\"data row19 col3\" >5.86</td>\n",
+ " <td id=\"T_67578_row19_col4\" class=\"data row19 col4\" >2.23</td>\n",
+ " <td id=\"T_67578_row19_col5\" class=\"data row19 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_67578_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_67578_row20_col0\" class=\"data row20 col0\" >87.84</td>\n",
+ " <td id=\"T_67578_row20_col1\" class=\"data row20 col1\" >3.50</td>\n",
+ " <td id=\"T_67578_row20_col2\" class=\"data row20 col2\" >96.70</td>\n",
+ " <td id=\"T_67578_row20_col3\" class=\"data row20 col3\" >3.14</td>\n",
+ " <td id=\"T_67578_row20_col4\" class=\"data row20 col4\" >1.79</td>\n",
+ " <td id=\"T_67578_row20_col5\" class=\"data row20 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_67578_row21_col0\" class=\"data row21 col0\" >88.11</td>\n",
+ " <td id=\"T_67578_row21_col1\" class=\"data row21 col1\" >4.04</td>\n",
+ " <td id=\"T_67578_row21_col2\" class=\"data row21 col2\" >92.95</td>\n",
+ " <td id=\"T_67578_row21_col3\" class=\"data row21 col3\" >6.07</td>\n",
+ " <td id=\"T_67578_row21_col4\" class=\"data row21 col4\" >2.00</td>\n",
+ " <td id=\"T_67578_row21_col5\" class=\"data row21 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_67578_row22_col0\" class=\"data row22 col0\" >88.71</td>\n",
+ " <td id=\"T_67578_row22_col1\" class=\"data row22 col1\" >2.90</td>\n",
+ " <td id=\"T_67578_row22_col2\" class=\"data row22 col2\" >96.66</td>\n",
+ " <td id=\"T_67578_row22_col3\" class=\"data row22 col3\" >4.66</td>\n",
+ " <td id=\"T_67578_row22_col4\" class=\"data row22 col4\" >1.48</td>\n",
+ " <td id=\"T_67578_row22_col5\" class=\"data row22 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_67578_row23_col0\" class=\"data row23 col0\" >87.62</td>\n",
+ " <td id=\"T_67578_row23_col1\" class=\"data row23 col1\" >4.08</td>\n",
+ " <td id=\"T_67578_row23_col2\" class=\"data row23 col2\" >96.17</td>\n",
+ " <td id=\"T_67578_row23_col3\" class=\"data row23 col3\" >4.01</td>\n",
+ " <td id=\"T_67578_row23_col4\" class=\"data row23 col4\" >1.43</td>\n",
+ " <td id=\"T_67578_row23_col5\" class=\"data row23 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_67578_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_67578_row24_col0\" class=\"data row24 col0\" >87.82</td>\n",
+ " <td id=\"T_67578_row24_col1\" class=\"data row24 col1\" >3.40</td>\n",
+ " <td id=\"T_67578_row24_col2\" class=\"data row24 col2\" >95.74</td>\n",
+ " <td id=\"T_67578_row24_col3\" class=\"data row24 col3\" >3.61</td>\n",
+ " <td id=\"T_67578_row24_col4\" class=\"data row24 col4\" >1.82</td>\n",
+ " <td id=\"T_67578_row24_col5\" class=\"data row24 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_67578_row25_col0\" class=\"data row25 col0\" >88.20</td>\n",
+ " <td id=\"T_67578_row25_col1\" class=\"data row25 col1\" >3.14</td>\n",
+ " <td id=\"T_67578_row25_col2\" class=\"data row25 col2\" >96.70</td>\n",
+ " <td id=\"T_67578_row25_col3\" class=\"data row25 col3\" >4.32</td>\n",
+ " <td id=\"T_67578_row25_col4\" class=\"data row25 col4\" >1.49</td>\n",
+ " <td id=\"T_67578_row25_col5\" class=\"data row25 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_67578_row26_col0\" class=\"data row26 col0\" >88.03</td>\n",
+ " <td id=\"T_67578_row26_col1\" class=\"data row26 col1\" >3.75</td>\n",
+ " <td id=\"T_67578_row26_col2\" class=\"data row26 col2\" >93.95</td>\n",
+ " <td id=\"T_67578_row26_col3\" class=\"data row26 col3\" >4.63</td>\n",
+ " <td id=\"T_67578_row26_col4\" class=\"data row26 col4\" >1.99</td>\n",
+ " <td id=\"T_67578_row26_col5\" class=\"data row26 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_67578_row27_col0\" class=\"data row27 col0\" >87.30</td>\n",
+ " <td id=\"T_67578_row27_col1\" class=\"data row27 col1\" >3.90</td>\n",
+ " <td id=\"T_67578_row27_col2\" class=\"data row27 col2\" >96.50</td>\n",
+ " <td id=\"T_67578_row27_col3\" class=\"data row27 col3\" >3.55</td>\n",
+ " <td id=\"T_67578_row27_col4\" class=\"data row27 col4\" >1.41</td>\n",
+ " <td id=\"T_67578_row27_col5\" class=\"data row27 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_67578_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_67578_row28_col0\" class=\"data row28 col0\" >87.76</td>\n",
+ " <td id=\"T_67578_row28_col1\" class=\"data row28 col1\" >3.68</td>\n",
+ " <td id=\"T_67578_row28_col2\" class=\"data row28 col2\" >96.15</td>\n",
+ " <td id=\"T_67578_row28_col3\" class=\"data row28 col3\" >4.70</td>\n",
+ " <td id=\"T_67578_row28_col4\" class=\"data row28 col4\" >1.78</td>\n",
+ " <td id=\"T_67578_row28_col5\" class=\"data row28 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_67578_row29_col0\" class=\"data row29 col0\" >87.70</td>\n",
+ " <td id=\"T_67578_row29_col1\" class=\"data row29 col1\" >3.16</td>\n",
+ " <td id=\"T_67578_row29_col2\" class=\"data row29 col2\" >96.53</td>\n",
+ " <td id=\"T_67578_row29_col3\" class=\"data row29 col3\" >3.36</td>\n",
+ " <td id=\"T_67578_row29_col4\" class=\"data row29 col4\" >1.51</td>\n",
+ " <td id=\"T_67578_row29_col5\" class=\"data row29 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_67578_row30_col0\" class=\"data row30 col0\" >89.32</td>\n",
+ " <td id=\"T_67578_row30_col1\" class=\"data row30 col1\" >2.99</td>\n",
+ " <td id=\"T_67578_row30_col2\" class=\"data row30 col2\" >96.18</td>\n",
+ " <td id=\"T_67578_row30_col3\" class=\"data row30 col3\" >4.29</td>\n",
+ " <td id=\"T_67578_row30_col4\" class=\"data row30 col4\" >1.48</td>\n",
+ " <td id=\"T_67578_row30_col5\" class=\"data row30 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_67578_row31_col0\" class=\"data row31 col0\" >87.44</td>\n",
+ " <td id=\"T_67578_row31_col1\" class=\"data row31 col1\" >5.50</td>\n",
+ " <td id=\"T_67578_row31_col2\" class=\"data row31 col2\" >93.65</td>\n",
+ " <td id=\"T_67578_row31_col3\" class=\"data row31 col3\" >5.34</td>\n",
+ " <td id=\"T_67578_row31_col4\" class=\"data row31 col4\" >1.87</td>\n",
+ " <td id=\"T_67578_row31_col5\" class=\"data row31 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_67578_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_67578_row32_col0\" class=\"data row32 col0\" >88.91</td>\n",
+ " <td id=\"T_67578_row32_col1\" class=\"data row32 col1\" >3.40</td>\n",
+ " <td id=\"T_67578_row32_col2\" class=\"data row32 col2\" >97.90</td>\n",
+ " <td id=\"T_67578_row32_col3\" class=\"data row32 col3\" >2.72</td>\n",
+ " <td id=\"T_67578_row32_col4\" class=\"data row32 col4\" >1.35</td>\n",
+ " <td id=\"T_67578_row32_col5\" class=\"data row32 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_67578_row33_col0\" class=\"data row33 col0\" >87.63</td>\n",
+ " <td id=\"T_67578_row33_col1\" class=\"data row33 col1\" >3.49</td>\n",
+ " <td id=\"T_67578_row33_col2\" class=\"data row33 col2\" >94.76</td>\n",
+ " <td id=\"T_67578_row33_col3\" class=\"data row33 col3\" >4.33</td>\n",
+ " <td id=\"T_67578_row33_col4\" class=\"data row33 col4\" >1.89</td>\n",
+ " <td id=\"T_67578_row33_col5\" class=\"data row33 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_67578_row34_col0\" class=\"data row34 col0\" >87.92</td>\n",
+ " <td id=\"T_67578_row34_col1\" class=\"data row34 col1\" >4.29</td>\n",
+ " <td id=\"T_67578_row34_col2\" class=\"data row34 col2\" >94.49</td>\n",
+ " <td id=\"T_67578_row34_col3\" class=\"data row34 col3\" >4.48</td>\n",
+ " <td id=\"T_67578_row34_col4\" class=\"data row34 col4\" >2.00</td>\n",
+ " <td id=\"T_67578_row34_col5\" class=\"data row34 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_67578_row35_col0\" class=\"data row35 col0\" >87.00</td>\n",
+ " <td id=\"T_67578_row35_col1\" class=\"data row35 col1\" >3.66</td>\n",
+ " <td id=\"T_67578_row35_col2\" class=\"data row35 col2\" >96.77</td>\n",
+ " <td id=\"T_67578_row35_col3\" class=\"data row35 col3\" >3.47</td>\n",
+ " <td id=\"T_67578_row35_col4\" class=\"data row35 col4\" >1.41</td>\n",
+ " <td id=\"T_67578_row35_col5\" class=\"data row35 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_67578_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_67578_row36_col0\" class=\"data row36 col0\" >88.88</td>\n",
+ " <td id=\"T_67578_row36_col1\" class=\"data row36 col1\" >3.11</td>\n",
+ " <td id=\"T_67578_row36_col2\" class=\"data row36 col2\" >98.25</td>\n",
+ " <td id=\"T_67578_row36_col3\" class=\"data row36 col3\" >2.38</td>\n",
+ " <td id=\"T_67578_row36_col4\" class=\"data row36 col4\" >1.34</td>\n",
+ " <td id=\"T_67578_row36_col5\" class=\"data row36 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_67578_row37_col0\" class=\"data row37 col0\" >87.35</td>\n",
+ " <td id=\"T_67578_row37_col1\" class=\"data row37 col1\" >4.13</td>\n",
+ " <td id=\"T_67578_row37_col2\" class=\"data row37 col2\" >94.24</td>\n",
+ " <td id=\"T_67578_row37_col3\" class=\"data row37 col3\" >4.14</td>\n",
+ " <td id=\"T_67578_row37_col4\" class=\"data row37 col4\" >1.91</td>\n",
+ " <td id=\"T_67578_row37_col5\" class=\"data row37 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_67578_row38_col0\" class=\"data row38 col0\" >88.27</td>\n",
+ " <td id=\"T_67578_row38_col1\" class=\"data row38 col1\" >3.09</td>\n",
+ " <td id=\"T_67578_row38_col2\" class=\"data row38 col2\" >97.05</td>\n",
+ " <td id=\"T_67578_row38_col3\" class=\"data row38 col3\" >3.36</td>\n",
+ " <td id=\"T_67578_row38_col4\" class=\"data row38 col4\" >1.50</td>\n",
+ " <td id=\"T_67578_row38_col5\" class=\"data row38 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_67578_row39_col0\" class=\"data row39 col0\" >86.12</td>\n",
+ " <td id=\"T_67578_row39_col1\" class=\"data row39 col1\" >5.22</td>\n",
+ " <td id=\"T_67578_row39_col2\" class=\"data row39 col2\" >94.75</td>\n",
+ " <td id=\"T_67578_row39_col3\" class=\"data row39 col3\" >4.62</td>\n",
+ " <td id=\"T_67578_row39_col4\" class=\"data row39 col4\" >1.86</td>\n",
+ " <td id=\"T_67578_row39_col5\" class=\"data row39 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_67578_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_67578_row40_col0\" class=\"data row40 col0\" >89.26</td>\n",
+ " <td id=\"T_67578_row40_col1\" class=\"data row40 col1\" >3.30</td>\n",
+ " <td id=\"T_67578_row40_col2\" class=\"data row40 col2\" >98.12</td>\n",
+ " <td id=\"T_67578_row40_col3\" class=\"data row40 col3\" >2.41</td>\n",
+ " <td id=\"T_67578_row40_col4\" class=\"data row40 col4\" >1.35</td>\n",
+ " <td id=\"T_67578_row40_col5\" class=\"data row40 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_67578_row41_col0\" class=\"data row41 col0\" >87.69</td>\n",
+ " <td id=\"T_67578_row41_col1\" class=\"data row41 col1\" >3.13</td>\n",
+ " <td id=\"T_67578_row41_col2\" class=\"data row41 col2\" >96.54</td>\n",
+ " <td id=\"T_67578_row41_col3\" class=\"data row41 col3\" >3.97</td>\n",
+ " <td id=\"T_67578_row41_col4\" class=\"data row41 col4\" >1.49</td>\n",
+ " <td id=\"T_67578_row41_col5\" class=\"data row41 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_67578_row42_col0\" class=\"data row42 col0\" >87.79</td>\n",
+ " <td id=\"T_67578_row42_col1\" class=\"data row42 col1\" >4.38</td>\n",
+ " <td id=\"T_67578_row42_col2\" class=\"data row42 col2\" >95.06</td>\n",
+ " <td id=\"T_67578_row42_col3\" class=\"data row42 col3\" >3.03</td>\n",
+ " <td id=\"T_67578_row42_col4\" class=\"data row42 col4\" >1.98</td>\n",
+ " <td id=\"T_67578_row42_col5\" class=\"data row42 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_67578_row43_col0\" class=\"data row43 col0\" >87.06</td>\n",
+ " <td id=\"T_67578_row43_col1\" class=\"data row43 col1\" >3.99</td>\n",
+ " <td id=\"T_67578_row43_col2\" class=\"data row43 col2\" >94.67</td>\n",
+ " <td id=\"T_67578_row43_col3\" class=\"data row43 col3\" >4.21</td>\n",
+ " <td id=\"T_67578_row43_col4\" class=\"data row43 col4\" >1.84</td>\n",
+ " <td id=\"T_67578_row43_col5\" class=\"data row43 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_67578_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_67578_row44_col0\" class=\"data row44 col0\" >89.97</td>\n",
+ " <td id=\"T_67578_row44_col1\" class=\"data row44 col1\" >3.19</td>\n",
+ " <td id=\"T_67578_row44_col2\" class=\"data row44 col2\" >97.92</td>\n",
+ " <td id=\"T_67578_row44_col3\" class=\"data row44 col3\" >2.86</td>\n",
+ " <td id=\"T_67578_row44_col4\" class=\"data row44 col4\" >1.57</td>\n",
+ " <td id=\"T_67578_row44_col5\" class=\"data row44 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_67578_row45_col0\" class=\"data row45 col0\" >89.72</td>\n",
+ " <td id=\"T_67578_row45_col1\" class=\"data row45 col1\" >2.96</td>\n",
+ " <td id=\"T_67578_row45_col2\" class=\"data row45 col2\" >97.25</td>\n",
+ " <td id=\"T_67578_row45_col3\" class=\"data row45 col3\" >3.05</td>\n",
+ " <td id=\"T_67578_row45_col4\" class=\"data row45 col4\" >1.70</td>\n",
+ " <td id=\"T_67578_row45_col5\" class=\"data row45 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_67578_row46_col0\" class=\"data row46 col0\" >89.29</td>\n",
+ " <td id=\"T_67578_row46_col1\" class=\"data row46 col1\" >3.89</td>\n",
+ " <td id=\"T_67578_row46_col2\" class=\"data row46 col2\" >97.06</td>\n",
+ " <td id=\"T_67578_row46_col3\" class=\"data row46 col3\" >3.05</td>\n",
+ " <td id=\"T_67578_row46_col4\" class=\"data row46 col4\" >1.74</td>\n",
+ " <td id=\"T_67578_row46_col5\" class=\"data row46 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_67578_row47_col0\" class=\"data row47 col0\" >86.67</td>\n",
+ " <td id=\"T_67578_row47_col1\" class=\"data row47 col1\" >3.82</td>\n",
+ " <td id=\"T_67578_row47_col2\" class=\"data row47 col2\" >96.46</td>\n",
+ " <td id=\"T_67578_row47_col3\" class=\"data row47 col3\" >4.71</td>\n",
+ " <td id=\"T_67578_row47_col4\" class=\"data row47 col4\" >1.38</td>\n",
+ " <td id=\"T_67578_row47_col5\" class=\"data row47 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_67578_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_67578_row48_col0\" class=\"data row48 col0\" >89.60</td>\n",
+ " <td id=\"T_67578_row48_col1\" class=\"data row48 col1\" >3.59</td>\n",
+ " <td id=\"T_67578_row48_col2\" class=\"data row48 col2\" >98.04</td>\n",
+ " <td id=\"T_67578_row48_col3\" class=\"data row48 col3\" >2.37</td>\n",
+ " <td id=\"T_67578_row48_col4\" class=\"data row48 col4\" >1.55</td>\n",
+ " <td id=\"T_67578_row48_col5\" class=\"data row48 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_67578_row49_col0\" class=\"data row49 col0\" >89.05</td>\n",
+ " <td id=\"T_67578_row49_col1\" class=\"data row49 col1\" >3.83</td>\n",
+ " <td id=\"T_67578_row49_col2\" class=\"data row49 col2\" >96.97</td>\n",
+ " <td id=\"T_67578_row49_col3\" class=\"data row49 col3\" >2.85</td>\n",
+ " <td id=\"T_67578_row49_col4\" class=\"data row49 col4\" >1.74</td>\n",
+ " <td id=\"T_67578_row49_col5\" class=\"data row49 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_67578_row50_col0\" class=\"data row50 col0\" >88.40</td>\n",
+ " <td id=\"T_67578_row50_col1\" class=\"data row50 col1\" >3.29</td>\n",
+ " <td id=\"T_67578_row50_col2\" class=\"data row50 col2\" >96.45</td>\n",
+ " <td id=\"T_67578_row50_col3\" class=\"data row50 col3\" >4.23</td>\n",
+ " <td id=\"T_67578_row50_col4\" class=\"data row50 col4\" >1.46</td>\n",
+ " <td id=\"T_67578_row50_col5\" class=\"data row50 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_67578_row51_col0\" class=\"data row51 col0\" >89.54</td>\n",
+ " <td id=\"T_67578_row51_col1\" class=\"data row51 col1\" >3.68</td>\n",
+ " <td id=\"T_67578_row51_col2\" class=\"data row51 col2\" >96.42</td>\n",
+ " <td id=\"T_67578_row51_col3\" class=\"data row51 col3\" >4.13</td>\n",
+ " <td id=\"T_67578_row51_col4\" class=\"data row51 col4\" >1.62</td>\n",
+ " <td id=\"T_67578_row51_col5\" class=\"data row51 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_67578_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_67578_row52_col0\" class=\"data row52 col0\" >89.39</td>\n",
+ " <td id=\"T_67578_row52_col1\" class=\"data row52 col1\" >3.14</td>\n",
+ " <td id=\"T_67578_row52_col2\" class=\"data row52 col2\" >98.22</td>\n",
+ " <td id=\"T_67578_row52_col3\" class=\"data row52 col3\" >2.30</td>\n",
+ " <td id=\"T_67578_row52_col4\" class=\"data row52 col4\" >1.57</td>\n",
+ " <td id=\"T_67578_row52_col5\" class=\"data row52 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_67578_row53_col0\" class=\"data row53 col0\" >87.77</td>\n",
+ " <td id=\"T_67578_row53_col1\" class=\"data row53 col1\" >3.38</td>\n",
+ " <td id=\"T_67578_row53_col2\" class=\"data row53 col2\" >96.95</td>\n",
+ " <td id=\"T_67578_row53_col3\" class=\"data row53 col3\" >3.26</td>\n",
+ " <td id=\"T_67578_row53_col4\" class=\"data row53 col4\" >1.47</td>\n",
+ " <td id=\"T_67578_row53_col5\" class=\"data row53 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_67578_row54_col0\" class=\"data row54 col0\" >89.72</td>\n",
+ " <td id=\"T_67578_row54_col1\" class=\"data row54 col1\" >3.52</td>\n",
+ " <td id=\"T_67578_row54_col2\" class=\"data row54 col2\" >96.76</td>\n",
+ " <td id=\"T_67578_row54_col3\" class=\"data row54 col3\" >3.23</td>\n",
+ " <td id=\"T_67578_row54_col4\" class=\"data row54 col4\" >1.74</td>\n",
+ " <td id=\"T_67578_row54_col5\" class=\"data row54 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_67578_row55_col0\" class=\"data row55 col0\" >89.35</td>\n",
+ " <td id=\"T_67578_row55_col1\" class=\"data row55 col1\" >3.94</td>\n",
+ " <td id=\"T_67578_row55_col2\" class=\"data row55 col2\" >97.42</td>\n",
+ " <td id=\"T_67578_row55_col3\" class=\"data row55 col3\" >3.06</td>\n",
+ " <td id=\"T_67578_row55_col4\" class=\"data row55 col4\" >1.59</td>\n",
+ " <td id=\"T_67578_row55_col5\" class=\"data row55 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_67578_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_67578_row56_col0\" class=\"data row56 col0\" >88.15</td>\n",
+ " <td id=\"T_67578_row56_col1\" class=\"data row56 col1\" >3.61</td>\n",
+ " <td id=\"T_67578_row56_col2\" class=\"data row56 col2\" >97.73</td>\n",
+ " <td id=\"T_67578_row56_col3\" class=\"data row56 col3\" >3.40</td>\n",
+ " <td id=\"T_67578_row56_col4\" class=\"data row56 col4\" >1.33</td>\n",
+ " <td id=\"T_67578_row56_col5\" class=\"data row56 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_67578_row57_col0\" class=\"data row57 col0\" >89.24</td>\n",
+ " <td id=\"T_67578_row57_col1\" class=\"data row57 col1\" >3.20</td>\n",
+ " <td id=\"T_67578_row57_col2\" class=\"data row57 col2\" >98.08</td>\n",
+ " <td id=\"T_67578_row57_col3\" class=\"data row57 col3\" >1.89</td>\n",
+ " <td id=\"T_67578_row57_col4\" class=\"data row57 col4\" >1.67</td>\n",
+ " <td id=\"T_67578_row57_col5\" class=\"data row57 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_67578_row58_col0\" class=\"data row58 col0\" >89.29</td>\n",
+ " <td id=\"T_67578_row58_col1\" class=\"data row58 col1\" >3.42</td>\n",
+ " <td id=\"T_67578_row58_col2\" class=\"data row58 col2\" >96.97</td>\n",
+ " <td id=\"T_67578_row58_col3\" class=\"data row58 col3\" >3.11</td>\n",
+ " <td id=\"T_67578_row58_col4\" class=\"data row58 col4\" >1.72</td>\n",
+ " <td id=\"T_67578_row58_col5\" class=\"data row58 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_67578_row59_col0\" class=\"data row59 col0\" >89.62</td>\n",
+ " <td id=\"T_67578_row59_col1\" class=\"data row59 col1\" >3.84</td>\n",
+ " <td id=\"T_67578_row59_col2\" class=\"data row59 col2\" >97.45</td>\n",
+ " <td id=\"T_67578_row59_col3\" class=\"data row59 col3\" >3.19</td>\n",
+ " <td id=\"T_67578_row59_col4\" class=\"data row59 col4\" >1.59</td>\n",
+ " <td id=\"T_67578_row59_col5\" class=\"data row59 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_67578_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_67578_row60_col0\" class=\"data row60 col0\" >91.10</td>\n",
+ " <td id=\"T_67578_row60_col1\" class=\"data row60 col1\" >3.61</td>\n",
+ " <td id=\"T_67578_row60_col2\" class=\"data row60 col2\" >99.09</td>\n",
+ " <td id=\"T_67578_row60_col3\" class=\"data row60 col3\" >1.36</td>\n",
+ " <td id=\"T_67578_row60_col4\" class=\"data row60 col4\" >1.40</td>\n",
+ " <td id=\"T_67578_row60_col5\" class=\"data row60 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_67578_row61_col0\" class=\"data row61 col0\" >90.66</td>\n",
+ " <td id=\"T_67578_row61_col1\" class=\"data row61 col1\" >3.14</td>\n",
+ " <td id=\"T_67578_row61_col2\" class=\"data row61 col2\" >98.58</td>\n",
+ " <td id=\"T_67578_row61_col3\" class=\"data row61 col3\" >2.47</td>\n",
+ " <td id=\"T_67578_row61_col4\" class=\"data row61 col4\" >1.51</td>\n",
+ " <td id=\"T_67578_row61_col5\" class=\"data row61 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_67578_row62_col0\" class=\"data row62 col0\" >91.48</td>\n",
+ " <td id=\"T_67578_row62_col1\" class=\"data row62 col1\" >3.07</td>\n",
+ " <td id=\"T_67578_row62_col2\" class=\"data row62 col2\" >98.57</td>\n",
+ " <td id=\"T_67578_row62_col3\" class=\"data row62 col3\" >2.66</td>\n",
+ " <td id=\"T_67578_row62_col4\" class=\"data row62 col4\" >1.53</td>\n",
+ " <td id=\"T_67578_row62_col5\" class=\"data row62 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_67578_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_67578_row63_col0\" class=\"data row63 col0\" >91.14</td>\n",
+ " <td id=\"T_67578_row63_col1\" class=\"data row63 col1\" >3.80</td>\n",
+ " <td id=\"T_67578_row63_col2\" class=\"data row63 col2\" >98.21</td>\n",
+ " <td id=\"T_67578_row63_col3\" class=\"data row63 col3\" >2.67</td>\n",
+ " <td id=\"T_67578_row63_col4\" class=\"data row63 col4\" >1.45</td>\n",
+ " <td id=\"T_67578_row63_col5\" class=\"data row63 col5\" >0.09</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0da7010>"
+ "<pandas.io.formats.style.Styler at 0x76062f87f110>"
]
},
"metadata": {},
@@ -3441,348 +3435,348 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_054b5 td {\n",
+ "#T_aaab8 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_054b5 th {\n",
+ "#T_aaab8 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_054b5_row0_col0, #T_054b5_row0_col2, #T_054b5_row15_col0, #T_054b5_row15_col2 {\n",
+ "#T_aaab8_row0_col0, #T_aaab8_row0_col2, #T_aaab8_row15_col0, #T_aaab8_row15_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row0_col4, #T_054b5_row15_col4 {\n",
+ "#T_aaab8_row0_col4, #T_aaab8_row15_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row1_col0, #T_054b5_row2_col0 {\n",
+ "#T_aaab8_row1_col0, #T_aaab8_row2_col0 {\n",
" background-color: #eaf3ea;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row1_col2 {\n",
+ "#T_aaab8_row1_col2 {\n",
" background-color: #baf6ba;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row1_col4 {\n",
+ "#T_aaab8_row1_col4 {\n",
" background-color: #fe1616;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row2_col2 {\n",
+ "#T_aaab8_row2_col2 {\n",
" background-color: #e7f3e7;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row2_col4 {\n",
+ "#T_aaab8_row2_col4 {\n",
" background-color: #ff0202;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row3_col0, #T_054b5_row4_col2 {\n",
+ "#T_aaab8_row3_col0, #T_aaab8_row4_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row3_col2, #T_054b5_row9_col0 {\n",
+ "#T_aaab8_row3_col2, #T_aaab8_row9_col0 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row3_col4 {\n",
+ "#T_aaab8_row3_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row4_col0 {\n",
+ "#T_aaab8_row4_col0 {\n",
" background-color: #dcf4db;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row4_col4 {\n",
+ "#T_aaab8_row4_col4 {\n",
" background-color: #fe1010;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row5_col0 {\n",
+ "#T_aaab8_row5_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row5_col2 {\n",
+ "#T_aaab8_row5_col2 {\n",
" background-color: #a6f7a6;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row5_col4 {\n",
+ "#T_aaab8_row5_col4 {\n",
" background-color: #fe1717;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row6_col0 {\n",
+ "#T_aaab8_row6_col0 {\n",
" background-color: #e1f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row6_col2 {\n",
+ "#T_aaab8_row6_col2 {\n",
" background-color: #a1f8a1;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row6_col4 {\n",
+ "#T_aaab8_row6_col4 {\n",
" background-color: #fe1414;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row7_col0 {\n",
+ "#T_aaab8_row7_col0 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row7_col2 {\n",
+ "#T_aaab8_row7_col2 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row7_col4 {\n",
+ "#T_aaab8_row7_col4 {\n",
" background-color: #fc3232;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row8_col0 {\n",
+ "#T_aaab8_row8_col0 {\n",
" background-color: #ddf4dd;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row8_col2 {\n",
+ "#T_aaab8_row8_col2 {\n",
" background-color: #9df89d;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row8_col4 {\n",
+ "#T_aaab8_row8_col4 {\n",
" background-color: #fe0d0d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row9_col2, #T_054b5_row14_col0 {\n",
+ "#T_aaab8_row9_col2, #T_aaab8_row14_col0 {\n",
" background-color: #9bf89b;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row9_col4 {\n",
+ "#T_aaab8_row9_col4 {\n",
" background-color: #fd2525;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row10_col0 {\n",
+ "#T_aaab8_row10_col0 {\n",
" background-color: #d7f4d7;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row10_col2 {\n",
+ "#T_aaab8_row10_col2 {\n",
" background-color: #98f898;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row10_col4 {\n",
+ "#T_aaab8_row10_col4 {\n",
" background-color: #fe1818;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row11_col0 {\n",
+ "#T_aaab8_row11_col0 {\n",
" background-color: #a9f7a9;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row11_col2 {\n",
+ "#T_aaab8_row11_col2 {\n",
" background-color: #62fc62;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row11_col4 {\n",
+ "#T_aaab8_row11_col4 {\n",
" background-color: #f97070;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row12_col0 {\n",
+ "#T_aaab8_row12_col0 {\n",
" background-color: #9af89a;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row12_col2 {\n",
+ "#T_aaab8_row12_col2 {\n",
" background-color: #6afb6a;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row12_col4 {\n",
+ "#T_aaab8_row12_col4 {\n",
" background-color: #f88181;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row13_col0 {\n",
+ "#T_aaab8_row13_col0 {\n",
" background-color: #a0f8a0;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row13_col2 {\n",
+ "#T_aaab8_row13_col2 {\n",
" background-color: #5efc5e;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row13_col4 {\n",
+ "#T_aaab8_row13_col4 {\n",
" background-color: #f88383;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_054b5_row14_col2 {\n",
+ "#T_aaab8_row14_col2 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_054b5_row14_col4 {\n",
+ "#T_aaab8_row14_col4 {\n",
" background-color: #f97e7e;\n",
" color: #f1f1f1;\n",
"}\n",
"</style>\n",
- "<table id=\"T_054b5\">\n",
+ "<table id=\"T_aaab8\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_054b5_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
- " <th id=\"T_054b5_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " <th id=\"T_aaab8_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_aaab8_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_054b5_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_054b5_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_054b5_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_aaab8_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_aaab8_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_aaab8_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_054b5_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_054b5_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
- " <th id=\"T_054b5_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_054b5_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
- " <th id=\"T_054b5_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_054b5_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " <th id=\"T_aaab8_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_aaab8_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_aaab8_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_aaab8_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_aaab8_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_aaab8_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_054b5_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_054b5_row0_col0\" class=\"data row0 col0\" >91.04</td>\n",
- " <td id=\"T_054b5_row0_col1\" class=\"data row0 col1\" >1.95</td>\n",
- " <td id=\"T_054b5_row0_col2\" class=\"data row0 col2\" >98.60</td>\n",
- " <td id=\"T_054b5_row0_col3\" class=\"data row0 col3\" >1.35</td>\n",
- " <td id=\"T_054b5_row0_col4\" class=\"data row0 col4\" >1.48</td>\n",
- " <td id=\"T_054b5_row0_col5\" class=\"data row0 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_054b5_row1_col0\" class=\"data row1 col0\" >87.62</td>\n",
- " <td id=\"T_054b5_row1_col1\" class=\"data row1 col1\" >1.81</td>\n",
- " <td id=\"T_054b5_row1_col2\" class=\"data row1 col2\" >94.71</td>\n",
- " <td id=\"T_054b5_row1_col3\" class=\"data row1 col3\" >2.51</td>\n",
- " <td id=\"T_054b5_row1_col4\" class=\"data row1 col4\" >1.75</td>\n",
- " <td id=\"T_054b5_row1_col5\" class=\"data row1 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_054b5_row2_col0\" class=\"data row2 col0\" >87.62</td>\n",
- " <td id=\"T_054b5_row2_col1\" class=\"data row2 col1\" >2.00</td>\n",
- " <td id=\"T_054b5_row2_col2\" class=\"data row2 col2\" >93.40</td>\n",
- " <td id=\"T_054b5_row2_col3\" class=\"data row2 col3\" >2.74</td>\n",
- " <td id=\"T_054b5_row2_col4\" class=\"data row2 col4\" >1.77</td>\n",
- " <td id=\"T_054b5_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_054b5_row3_col0\" class=\"data row3 col0\" >87.60</td>\n",
- " <td id=\"T_054b5_row3_col1\" class=\"data row3 col1\" >2.10</td>\n",
- " <td id=\"T_054b5_row3_col2\" class=\"data row3 col2\" >93.51</td>\n",
- " <td id=\"T_054b5_row3_col3\" class=\"data row3 col3\" >2.52</td>\n",
- " <td id=\"T_054b5_row3_col4\" class=\"data row3 col4\" >1.77</td>\n",
- " <td id=\"T_054b5_row3_col5\" class=\"data row3 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_054b5_row4_col0\" class=\"data row4 col0\" >87.89</td>\n",
- " <td id=\"T_054b5_row4_col1\" class=\"data row4 col1\" >2.03</td>\n",
- " <td id=\"T_054b5_row4_col2\" class=\"data row4 col2\" >93.28</td>\n",
- " <td id=\"T_054b5_row4_col3\" class=\"data row4 col3\" >2.87</td>\n",
- " <td id=\"T_054b5_row4_col4\" class=\"data row4 col4\" >1.75</td>\n",
- " <td id=\"T_054b5_row4_col5\" class=\"data row4 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_054b5_row5_col0\" class=\"data row5 col0\" >88.03</td>\n",
- " <td id=\"T_054b5_row5_col1\" class=\"data row5 col1\" >1.95</td>\n",
- " <td id=\"T_054b5_row5_col2\" class=\"data row5 col2\" >95.29</td>\n",
- " <td id=\"T_054b5_row5_col3\" class=\"data row5 col3\" >2.61</td>\n",
- " <td id=\"T_054b5_row5_col4\" class=\"data row5 col4\" >1.74</td>\n",
- " <td id=\"T_054b5_row5_col5\" class=\"data row5 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_054b5_row6_col0\" class=\"data row6 col0\" >87.79</td>\n",
- " <td id=\"T_054b5_row6_col1\" class=\"data row6 col1\" >1.81</td>\n",
- " <td id=\"T_054b5_row6_col2\" class=\"data row6 col2\" >95.44</td>\n",
- " <td id=\"T_054b5_row6_col3\" class=\"data row6 col3\" >2.40</td>\n",
- " <td id=\"T_054b5_row6_col4\" class=\"data row6 col4\" >1.75</td>\n",
- " <td id=\"T_054b5_row6_col5\" class=\"data row6 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_054b5_row7_col0\" class=\"data row7 col0\" >88.10</td>\n",
- " <td id=\"T_054b5_row7_col1\" class=\"data row7 col1\" >1.89</td>\n",
- " <td id=\"T_054b5_row7_col2\" class=\"data row7 col2\" >95.41</td>\n",
- " <td id=\"T_054b5_row7_col3\" class=\"data row7 col3\" >2.53</td>\n",
- " <td id=\"T_054b5_row7_col4\" class=\"data row7 col4\" >1.71</td>\n",
- " <td id=\"T_054b5_row7_col5\" class=\"data row7 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_054b5_row8_col0\" class=\"data row8 col0\" >87.86</td>\n",
- " <td id=\"T_054b5_row8_col1\" class=\"data row8 col1\" >2.06</td>\n",
- " <td id=\"T_054b5_row8_col2\" class=\"data row8 col2\" >95.54</td>\n",
- " <td id=\"T_054b5_row8_col3\" class=\"data row8 col3\" >2.18</td>\n",
- " <td id=\"T_054b5_row8_col4\" class=\"data row8 col4\" >1.76</td>\n",
- " <td id=\"T_054b5_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_054b5_row9_col0\" class=\"data row9 col0\" >87.75</td>\n",
- " <td id=\"T_054b5_row9_col1\" class=\"data row9 col1\" >2.09</td>\n",
- " <td id=\"T_054b5_row9_col2\" class=\"data row9 col2\" >95.59</td>\n",
- " <td id=\"T_054b5_row9_col3\" class=\"data row9 col3\" >2.33</td>\n",
- " <td id=\"T_054b5_row9_col4\" class=\"data row9 col4\" >1.73</td>\n",
- " <td id=\"T_054b5_row9_col5\" class=\"data row9 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_054b5_row10_col0\" class=\"data row10 col0\" >87.97</td>\n",
- " <td id=\"T_054b5_row10_col1\" class=\"data row10 col1\" >2.28</td>\n",
- " <td id=\"T_054b5_row10_col2\" class=\"data row10 col2\" >95.69</td>\n",
- " <td id=\"T_054b5_row10_col3\" class=\"data row10 col3\" >1.97</td>\n",
- " <td id=\"T_054b5_row10_col4\" class=\"data row10 col4\" >1.74</td>\n",
- " <td id=\"T_054b5_row10_col5\" class=\"data row10 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_054b5_row11_col0\" class=\"data row11 col0\" >88.83</td>\n",
- " <td id=\"T_054b5_row11_col1\" class=\"data row11 col1\" >1.87</td>\n",
- " <td id=\"T_054b5_row11_col2\" class=\"data row11 col2\" >97.27</td>\n",
- " <td id=\"T_054b5_row11_col3\" class=\"data row11 col3\" >1.57</td>\n",
- " <td id=\"T_054b5_row11_col4\" class=\"data row11 col4\" >1.63</td>\n",
- " <td id=\"T_054b5_row11_col5\" class=\"data row11 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_054b5_row12_col0\" class=\"data row12 col0\" >89.13</td>\n",
- " <td id=\"T_054b5_row12_col1\" class=\"data row12 col1\" >1.99</td>\n",
- " <td id=\"T_054b5_row12_col2\" class=\"data row12 col2\" >97.02</td>\n",
- " <td id=\"T_054b5_row12_col3\" class=\"data row12 col3\" >1.84</td>\n",
- " <td id=\"T_054b5_row12_col4\" class=\"data row12 col4\" >1.61</td>\n",
- " <td id=\"T_054b5_row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_054b5_row13_col0\" class=\"data row13 col0\" >89.00</td>\n",
- " <td id=\"T_054b5_row13_col1\" class=\"data row13 col1\" >1.85</td>\n",
- " <td id=\"T_054b5_row13_col2\" class=\"data row13 col2\" >97.37</td>\n",
- " <td id=\"T_054b5_row13_col3\" class=\"data row13 col3\" >1.56</td>\n",
- " <td id=\"T_054b5_row13_col4\" class=\"data row13 col4\" >1.61</td>\n",
- " <td id=\"T_054b5_row13_col5\" class=\"data row13 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_054b5_row14_col0\" class=\"data row14 col0\" >89.09</td>\n",
- " <td id=\"T_054b5_row14_col1\" class=\"data row14 col1\" >2.03</td>\n",
- " <td id=\"T_054b5_row14_col2\" class=\"data row14 col2\" >97.52</td>\n",
- " <td id=\"T_054b5_row14_col3\" class=\"data row14 col3\" >1.68</td>\n",
- " <td id=\"T_054b5_row14_col4\" class=\"data row14 col4\" >1.62</td>\n",
- " <td id=\"T_054b5_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_054b5_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_054b5_row15_col0\" class=\"data row15 col0\" >91.04</td>\n",
- " <td id=\"T_054b5_row15_col1\" class=\"data row15 col1\" >1.95</td>\n",
- " <td id=\"T_054b5_row15_col2\" class=\"data row15 col2\" >98.60</td>\n",
- " <td id=\"T_054b5_row15_col3\" class=\"data row15 col3\" >1.35</td>\n",
- " <td id=\"T_054b5_row15_col4\" class=\"data row15 col4\" >1.48</td>\n",
- " <td id=\"T_054b5_row15_col5\" class=\"data row15 col5\" >0.06</td>\n",
+ " <th id=\"T_aaab8_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_aaab8_row0_col0\" class=\"data row0 col0\" >91.04</td>\n",
+ " <td id=\"T_aaab8_row0_col1\" class=\"data row0 col1\" >1.95</td>\n",
+ " <td id=\"T_aaab8_row0_col2\" class=\"data row0 col2\" >98.60</td>\n",
+ " <td id=\"T_aaab8_row0_col3\" class=\"data row0 col3\" >1.35</td>\n",
+ " <td id=\"T_aaab8_row0_col4\" class=\"data row0 col4\" >1.48</td>\n",
+ " <td id=\"T_aaab8_row0_col5\" class=\"data row0 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_aaab8_row1_col0\" class=\"data row1 col0\" >87.62</td>\n",
+ " <td id=\"T_aaab8_row1_col1\" class=\"data row1 col1\" >1.81</td>\n",
+ " <td id=\"T_aaab8_row1_col2\" class=\"data row1 col2\" >94.71</td>\n",
+ " <td id=\"T_aaab8_row1_col3\" class=\"data row1 col3\" >2.51</td>\n",
+ " <td id=\"T_aaab8_row1_col4\" class=\"data row1 col4\" >1.75</td>\n",
+ " <td id=\"T_aaab8_row1_col5\" class=\"data row1 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_aaab8_row2_col0\" class=\"data row2 col0\" >87.62</td>\n",
+ " <td id=\"T_aaab8_row2_col1\" class=\"data row2 col1\" >2.00</td>\n",
+ " <td id=\"T_aaab8_row2_col2\" class=\"data row2 col2\" >93.40</td>\n",
+ " <td id=\"T_aaab8_row2_col3\" class=\"data row2 col3\" >2.74</td>\n",
+ " <td id=\"T_aaab8_row2_col4\" class=\"data row2 col4\" >1.77</td>\n",
+ " <td id=\"T_aaab8_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_aaab8_row3_col0\" class=\"data row3 col0\" >87.60</td>\n",
+ " <td id=\"T_aaab8_row3_col1\" class=\"data row3 col1\" >2.10</td>\n",
+ " <td id=\"T_aaab8_row3_col2\" class=\"data row3 col2\" >93.51</td>\n",
+ " <td id=\"T_aaab8_row3_col3\" class=\"data row3 col3\" >2.52</td>\n",
+ " <td id=\"T_aaab8_row3_col4\" class=\"data row3 col4\" >1.77</td>\n",
+ " <td id=\"T_aaab8_row3_col5\" class=\"data row3 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_aaab8_row4_col0\" class=\"data row4 col0\" >87.89</td>\n",
+ " <td id=\"T_aaab8_row4_col1\" class=\"data row4 col1\" >2.03</td>\n",
+ " <td id=\"T_aaab8_row4_col2\" class=\"data row4 col2\" >93.28</td>\n",
+ " <td id=\"T_aaab8_row4_col3\" class=\"data row4 col3\" >2.87</td>\n",
+ " <td id=\"T_aaab8_row4_col4\" class=\"data row4 col4\" >1.75</td>\n",
+ " <td id=\"T_aaab8_row4_col5\" class=\"data row4 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_aaab8_row5_col0\" class=\"data row5 col0\" >88.03</td>\n",
+ " <td id=\"T_aaab8_row5_col1\" class=\"data row5 col1\" >1.95</td>\n",
+ " <td id=\"T_aaab8_row5_col2\" class=\"data row5 col2\" >95.29</td>\n",
+ " <td id=\"T_aaab8_row5_col3\" class=\"data row5 col3\" >2.61</td>\n",
+ " <td id=\"T_aaab8_row5_col4\" class=\"data row5 col4\" >1.74</td>\n",
+ " <td id=\"T_aaab8_row5_col5\" class=\"data row5 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_aaab8_row6_col0\" class=\"data row6 col0\" >87.79</td>\n",
+ " <td id=\"T_aaab8_row6_col1\" class=\"data row6 col1\" >1.81</td>\n",
+ " <td id=\"T_aaab8_row6_col2\" class=\"data row6 col2\" >95.44</td>\n",
+ " <td id=\"T_aaab8_row6_col3\" class=\"data row6 col3\" >2.40</td>\n",
+ " <td id=\"T_aaab8_row6_col4\" class=\"data row6 col4\" >1.75</td>\n",
+ " <td id=\"T_aaab8_row6_col5\" class=\"data row6 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_aaab8_row7_col0\" class=\"data row7 col0\" >88.10</td>\n",
+ " <td id=\"T_aaab8_row7_col1\" class=\"data row7 col1\" >1.89</td>\n",
+ " <td id=\"T_aaab8_row7_col2\" class=\"data row7 col2\" >95.41</td>\n",
+ " <td id=\"T_aaab8_row7_col3\" class=\"data row7 col3\" >2.53</td>\n",
+ " <td id=\"T_aaab8_row7_col4\" class=\"data row7 col4\" >1.71</td>\n",
+ " <td id=\"T_aaab8_row7_col5\" class=\"data row7 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_aaab8_row8_col0\" class=\"data row8 col0\" >87.86</td>\n",
+ " <td id=\"T_aaab8_row8_col1\" class=\"data row8 col1\" >2.06</td>\n",
+ " <td id=\"T_aaab8_row8_col2\" class=\"data row8 col2\" >95.54</td>\n",
+ " <td id=\"T_aaab8_row8_col3\" class=\"data row8 col3\" >2.18</td>\n",
+ " <td id=\"T_aaab8_row8_col4\" class=\"data row8 col4\" >1.76</td>\n",
+ " <td id=\"T_aaab8_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_aaab8_row9_col0\" class=\"data row9 col0\" >87.75</td>\n",
+ " <td id=\"T_aaab8_row9_col1\" class=\"data row9 col1\" >2.09</td>\n",
+ " <td id=\"T_aaab8_row9_col2\" class=\"data row9 col2\" >95.59</td>\n",
+ " <td id=\"T_aaab8_row9_col3\" class=\"data row9 col3\" >2.33</td>\n",
+ " <td id=\"T_aaab8_row9_col4\" class=\"data row9 col4\" >1.73</td>\n",
+ " <td id=\"T_aaab8_row9_col5\" class=\"data row9 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_aaab8_row10_col0\" class=\"data row10 col0\" >87.97</td>\n",
+ " <td id=\"T_aaab8_row10_col1\" class=\"data row10 col1\" >2.28</td>\n",
+ " <td id=\"T_aaab8_row10_col2\" class=\"data row10 col2\" >95.69</td>\n",
+ " <td id=\"T_aaab8_row10_col3\" class=\"data row10 col3\" >1.97</td>\n",
+ " <td id=\"T_aaab8_row10_col4\" class=\"data row10 col4\" >1.74</td>\n",
+ " <td id=\"T_aaab8_row10_col5\" class=\"data row10 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_aaab8_row11_col0\" class=\"data row11 col0\" >88.83</td>\n",
+ " <td id=\"T_aaab8_row11_col1\" class=\"data row11 col1\" >1.87</td>\n",
+ " <td id=\"T_aaab8_row11_col2\" class=\"data row11 col2\" >97.27</td>\n",
+ " <td id=\"T_aaab8_row11_col3\" class=\"data row11 col3\" >1.57</td>\n",
+ " <td id=\"T_aaab8_row11_col4\" class=\"data row11 col4\" >1.63</td>\n",
+ " <td id=\"T_aaab8_row11_col5\" class=\"data row11 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_aaab8_row12_col0\" class=\"data row12 col0\" >89.13</td>\n",
+ " <td id=\"T_aaab8_row12_col1\" class=\"data row12 col1\" >1.99</td>\n",
+ " <td id=\"T_aaab8_row12_col2\" class=\"data row12 col2\" >97.02</td>\n",
+ " <td id=\"T_aaab8_row12_col3\" class=\"data row12 col3\" >1.84</td>\n",
+ " <td id=\"T_aaab8_row12_col4\" class=\"data row12 col4\" >1.61</td>\n",
+ " <td id=\"T_aaab8_row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_aaab8_row13_col0\" class=\"data row13 col0\" >89.00</td>\n",
+ " <td id=\"T_aaab8_row13_col1\" class=\"data row13 col1\" >1.85</td>\n",
+ " <td id=\"T_aaab8_row13_col2\" class=\"data row13 col2\" >97.37</td>\n",
+ " <td id=\"T_aaab8_row13_col3\" class=\"data row13 col3\" >1.56</td>\n",
+ " <td id=\"T_aaab8_row13_col4\" class=\"data row13 col4\" >1.61</td>\n",
+ " <td id=\"T_aaab8_row13_col5\" class=\"data row13 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_aaab8_row14_col0\" class=\"data row14 col0\" >89.09</td>\n",
+ " <td id=\"T_aaab8_row14_col1\" class=\"data row14 col1\" >2.03</td>\n",
+ " <td id=\"T_aaab8_row14_col2\" class=\"data row14 col2\" >97.52</td>\n",
+ " <td id=\"T_aaab8_row14_col3\" class=\"data row14 col3\" >1.68</td>\n",
+ " <td id=\"T_aaab8_row14_col4\" class=\"data row14 col4\" >1.62</td>\n",
+ " <td id=\"T_aaab8_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_aaab8_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_aaab8_row15_col0\" class=\"data row15 col0\" >91.04</td>\n",
+ " <td id=\"T_aaab8_row15_col1\" class=\"data row15 col1\" >1.95</td>\n",
+ " <td id=\"T_aaab8_row15_col2\" class=\"data row15 col2\" >98.60</td>\n",
+ " <td id=\"T_aaab8_row15_col3\" class=\"data row15 col3\" >1.35</td>\n",
+ " <td id=\"T_aaab8_row15_col4\" class=\"data row15 col4\" >1.48</td>\n",
+ " <td id=\"T_aaab8_row15_col5\" class=\"data row15 col5\" >0.06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129c4077650>"
+ "<pandas.io.formats.style.Styler at 0x76062fe6e310>"
]
},
"metadata": {},
@@ -3795,1040 +3789,1040 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_9f1a8 td {\n",
+ "#T_8a66e td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_9f1a8 th {\n",
+ "#T_8a66e th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_9f1a8_row0_col0, #T_9f1a8_row0_col2 {\n",
+ "#T_8a66e_row0_col0, #T_8a66e_row0_col2 {\n",
" background-color: #5afc5a;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row0_col4, #T_9f1a8_row60_col4 {\n",
+ "#T_8a66e_row0_col4, #T_8a66e_row60_col4 {\n",
" background-color: #f97c7c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row1_col0, #T_9f1a8_row1_col2 {\n",
+ "#T_8a66e_row1_col0, #T_8a66e_row1_col2 {\n",
" background-color: #54fd54;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row1_col4, #T_9f1a8_row61_col4 {\n",
+ "#T_8a66e_row1_col4, #T_8a66e_row61_col4 {\n",
" background-color: #f79d9d;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row2_col0, #T_9f1a8_row2_col2 {\n",
+ "#T_8a66e_row2_col0, #T_8a66e_row2_col2 {\n",
" background-color: #4efd4e;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row2_col4, #T_9f1a8_row44_col4, #T_9f1a8_row62_col4 {\n",
+ "#T_8a66e_row2_col4, #T_8a66e_row44_col4, #T_8a66e_row62_col4 {\n",
" background-color: #f6b9b9;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row3_col0, #T_9f1a8_row3_col2 {\n",
+ "#T_8a66e_row3_col0, #T_8a66e_row3_col2 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row3_col4, #T_9f1a8_row63_col4 {\n",
+ "#T_8a66e_row3_col4, #T_8a66e_row63_col4 {\n",
" background-color: #f6a9a9;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row4_col0, #T_9f1a8_row4_col2 {\n",
+ "#T_8a66e_row4_col0, #T_8a66e_row4_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row4_col4 {\n",
+ "#T_8a66e_row4_col4 {\n",
" background-color: #f3ecec;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row5_col0, #T_9f1a8_row5_col2, #T_9f1a8_row8_col0, #T_9f1a8_row8_col2, #T_9f1a8_row12_col0, #T_9f1a8_row12_col2, #T_9f1a8_row16_col0, #T_9f1a8_row16_col2 {\n",
+ "#T_8a66e_row5_col0, #T_8a66e_row5_col2, #T_8a66e_row8_col0, #T_8a66e_row8_col2, #T_8a66e_row12_col0, #T_8a66e_row12_col2, #T_8a66e_row16_col0, #T_8a66e_row16_col2 {\n",
" background-color: #6dfb6d;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row5_col4 {\n",
+ "#T_8a66e_row5_col4 {\n",
" background-color: #f96e6e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row6_col0, #T_9f1a8_row6_col2 {\n",
+ "#T_8a66e_row6_col0, #T_8a66e_row6_col2 {\n",
" background-color: #6bfb6b;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row6_col4 {\n",
+ "#T_8a66e_row6_col4 {\n",
" background-color: #f88e8e;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row7_col0, #T_9f1a8_row7_col2 {\n",
+ "#T_8a66e_row7_col0, #T_8a66e_row7_col2 {\n",
" background-color: #71fb71;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row7_col4 {\n",
+ "#T_8a66e_row7_col4 {\n",
" background-color: #f97878;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row8_col4 {\n",
+ "#T_8a66e_row8_col4 {\n",
" background-color: #fb5757;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row9_col0, #T_9f1a8_row9_col2 {\n",
+ "#T_8a66e_row9_col0, #T_8a66e_row9_col2 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row9_col4 {\n",
+ "#T_8a66e_row9_col4 {\n",
" background-color: #f3eeee;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row10_col0, #T_9f1a8_row10_col2, #T_9f1a8_row15_col0, #T_9f1a8_row15_col2 {\n",
+ "#T_8a66e_row10_col0, #T_8a66e_row10_col2, #T_8a66e_row15_col0, #T_8a66e_row15_col2 {\n",
" background-color: #67fc67;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row10_col4 {\n",
+ "#T_8a66e_row10_col4 {\n",
" background-color: #f79696;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row11_col0, #T_9f1a8_row11_col2 {\n",
+ "#T_8a66e_row11_col0, #T_8a66e_row11_col2 {\n",
" background-color: #68fc68;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row11_col4, #T_9f1a8_row13_col4 {\n",
+ "#T_8a66e_row11_col4, #T_8a66e_row13_col4 {\n",
" background-color: #f88888;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row12_col4, #T_9f1a8_row16_col4 {\n",
+ "#T_8a66e_row12_col4, #T_8a66e_row16_col4 {\n",
" background-color: #fb5555;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row13_col0, #T_9f1a8_row13_col2, #T_9f1a8_row18_col0, #T_9f1a8_row18_col2 {\n",
+ "#T_8a66e_row13_col0, #T_8a66e_row13_col2, #T_8a66e_row18_col0, #T_8a66e_row18_col2 {\n",
" background-color: #65fc65;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row14_col0, #T_9f1a8_row14_col2 {\n",
+ "#T_8a66e_row14_col0, #T_8a66e_row14_col2 {\n",
" background-color: #46fe46;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row14_col4, #T_9f1a8_row19_col4 {\n",
+ "#T_8a66e_row14_col4, #T_8a66e_row19_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row15_col4 {\n",
+ "#T_8a66e_row15_col4 {\n",
" background-color: #f88d8d;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row17_col0, #T_9f1a8_row17_col2 {\n",
+ "#T_8a66e_row17_col0, #T_8a66e_row17_col2 {\n",
" background-color: #63fc63;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row17_col4 {\n",
+ "#T_8a66e_row17_col4 {\n",
" background-color: #f88484;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row18_col4 {\n",
+ "#T_8a66e_row18_col4 {\n",
" background-color: #f79e9e;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row19_col0, #T_9f1a8_row19_col2 {\n",
+ "#T_8a66e_row19_col0, #T_8a66e_row19_col2 {\n",
" background-color: #4afe4a;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row20_col0, #T_9f1a8_row20_col2 {\n",
+ "#T_8a66e_row20_col0, #T_8a66e_row20_col2 {\n",
" background-color: #97f897;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row20_col4, #T_9f1a8_row28_col4 {\n",
+ "#T_8a66e_row20_col4, #T_8a66e_row28_col4 {\n",
" background-color: #f4d8d8;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row21_col0, #T_9f1a8_row21_col2, #T_9f1a8_row26_col0, #T_9f1a8_row26_col2 {\n",
+ "#T_8a66e_row21_col0, #T_8a66e_row21_col2, #T_8a66e_row26_col0, #T_8a66e_row26_col2 {\n",
" background-color: #a1f8a1;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row21_col4 {\n",
+ "#T_8a66e_row21_col4 {\n",
" background-color: #f4dfdf;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row22_col0, #T_9f1a8_row22_col2, #T_9f1a8_row29_col0, #T_9f1a8_row29_col2 {\n",
+ "#T_8a66e_row22_col0, #T_8a66e_row22_col2, #T_8a66e_row29_col0, #T_8a66e_row29_col2 {\n",
" background-color: #7bfa7b;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row22_col4 {\n",
+ "#T_8a66e_row22_col4 {\n",
" background-color: #fa6262;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row23_col0, #T_9f1a8_row23_col2, #T_9f1a8_row36_col0, #T_9f1a8_row36_col2 {\n",
+ "#T_8a66e_row23_col0, #T_8a66e_row23_col2, #T_8a66e_row36_col0, #T_8a66e_row36_col2 {\n",
" background-color: #81fa81;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row23_col4 {\n",
+ "#T_8a66e_row23_col4 {\n",
" background-color: #fb4747;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row24_col0, #T_9f1a8_row24_col2 {\n",
+ "#T_8a66e_row24_col0, #T_8a66e_row24_col2 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row24_col4 {\n",
+ "#T_8a66e_row24_col4 {\n",
" background-color: #f4dada;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row25_col0, #T_9f1a8_row25_col2 {\n",
+ "#T_8a66e_row25_col0, #T_8a66e_row25_col2 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row25_col4 {\n",
+ "#T_8a66e_row25_col4 {\n",
" background-color: #fb4c4c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row26_col4, #T_9f1a8_row42_col4 {\n",
+ "#T_8a66e_row26_col4, #T_8a66e_row42_col4 {\n",
" background-color: #f3e8e8;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row27_col0, #T_9f1a8_row27_col2 {\n",
+ "#T_8a66e_row27_col0, #T_8a66e_row27_col2 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row27_col4 {\n",
+ "#T_8a66e_row27_col4 {\n",
" background-color: #fb4e4e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row28_col0, #T_9f1a8_row28_col2 {\n",
+ "#T_8a66e_row28_col0, #T_8a66e_row28_col2 {\n",
" background-color: #98f897;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row29_col4 {\n",
+ "#T_8a66e_row29_col4 {\n",
" background-color: #fb4646;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row30_col0, #T_9f1a8_row30_col2 {\n",
+ "#T_8a66e_row30_col0, #T_8a66e_row30_col2 {\n",
" background-color: #7cfa7c;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row30_col4 {\n",
+ "#T_8a66e_row30_col4 {\n",
" background-color: #fa6666;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row31_col0, #T_9f1a8_row31_col2, #T_9f1a8_row43_col0, #T_9f1a8_row43_col2 {\n",
+ "#T_8a66e_row31_col0, #T_8a66e_row31_col2, #T_8a66e_row43_col0, #T_8a66e_row43_col2 {\n",
" background-color: #aef7ae;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row31_col4, #T_9f1a8_row33_col4 {\n",
+ "#T_8a66e_row31_col4, #T_8a66e_row33_col4 {\n",
" background-color: #f3e3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row32_col0, #T_9f1a8_row32_col2 {\n",
+ "#T_8a66e_row32_col0, #T_8a66e_row32_col2 {\n",
" background-color: #7ffa7f;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row32_col4 {\n",
+ "#T_8a66e_row32_col4 {\n",
" background-color: #fd2d2d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row33_col0, #T_9f1a8_row33_col2 {\n",
+ "#T_8a66e_row33_col0, #T_8a66e_row33_col2 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row34_col0, #T_9f1a8_row34_col2 {\n",
+ "#T_8a66e_row34_col0, #T_8a66e_row34_col2 {\n",
" background-color: #acf7ac;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row34_col4 {\n",
+ "#T_8a66e_row34_col4 {\n",
" background-color: #f3e7e7;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row35_col0, #T_9f1a8_row35_col2, #T_9f1a8_row40_col0, #T_9f1a8_row40_col2 {\n",
+ "#T_8a66e_row35_col0, #T_8a66e_row35_col2, #T_8a66e_row40_col0, #T_8a66e_row40_col2 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row35_col4 {\n",
+ "#T_8a66e_row35_col4 {\n",
" background-color: #fa5f5f;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row36_col4 {\n",
+ "#T_8a66e_row36_col4 {\n",
" background-color: #fd2828;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row37_col0, #T_9f1a8_row37_col2 {\n",
+ "#T_8a66e_row37_col0, #T_8a66e_row37_col2 {\n",
" background-color: #9ff89f;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row37_col4 {\n",
+ "#T_8a66e_row37_col4 {\n",
" background-color: #f4e0e0;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row38_col0, #T_9f1a8_row38_col2 {\n",
+ "#T_8a66e_row38_col0, #T_8a66e_row38_col2 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row38_col4 {\n",
+ "#T_8a66e_row38_col4 {\n",
" background-color: #f97575;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row39_col0, #T_9f1a8_row39_col2 {\n",
+ "#T_8a66e_row39_col0, #T_8a66e_row39_col2 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row39_col4 {\n",
+ "#T_8a66e_row39_col4 {\n",
" background-color: #f3e4e4;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row40_col4 {\n",
+ "#T_8a66e_row40_col4 {\n",
" background-color: #fd3030;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row41_col0, #T_9f1a8_row41_col2 {\n",
+ "#T_8a66e_row41_col0, #T_8a66e_row41_col2 {\n",
" background-color: #75fb75;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row41_col4 {\n",
+ "#T_8a66e_row41_col4 {\n",
" background-color: #fa6464;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row42_col0, #T_9f1a8_row42_col2 {\n",
+ "#T_8a66e_row42_col0, #T_8a66e_row42_col2 {\n",
" background-color: #a5f8a5;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row43_col4 {\n",
+ "#T_8a66e_row43_col4 {\n",
" background-color: #f3e5e5;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row44_col0, #T_9f1a8_row44_col2 {\n",
+ "#T_8a66e_row44_col0, #T_8a66e_row44_col2 {\n",
" background-color: #bff6bf;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row45_col0, #T_9f1a8_row45_col2, #T_9f1a8_row54_col0, #T_9f1a8_row54_col2 {\n",
+ "#T_8a66e_row45_col0, #T_8a66e_row45_col2, #T_8a66e_row54_col0, #T_8a66e_row54_col2 {\n",
" background-color: #caf5ca;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row45_col4 {\n",
+ "#T_8a66e_row45_col4 {\n",
" background-color: #f5c6c6;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row46_col0, #T_9f1a8_row46_col2 {\n",
+ "#T_8a66e_row46_col0, #T_8a66e_row46_col2 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row46_col4 {\n",
+ "#T_8a66e_row46_col4 {\n",
" background-color: #f4d8d7;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row47_col0, #T_9f1a8_row47_col2 {\n",
+ "#T_8a66e_row47_col0, #T_8a66e_row47_col2 {\n",
" background-color: #98f898;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row47_col4 {\n",
+ "#T_8a66e_row47_col4 {\n",
" background-color: #fe1111;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row48_col0, #T_9f1a8_row48_col2 {\n",
+ "#T_8a66e_row48_col0, #T_8a66e_row48_col2 {\n",
" background-color: #c4f5c4;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row48_col4, #T_9f1a8_row52_col4 {\n",
+ "#T_8a66e_row48_col4, #T_8a66e_row52_col4 {\n",
" background-color: #f6b5b5;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row49_col0, #T_9f1a8_row49_col2, #T_9f1a8_row57_col0, #T_9f1a8_row57_col2 {\n",
+ "#T_8a66e_row49_col0, #T_8a66e_row49_col2, #T_8a66e_row57_col0, #T_8a66e_row57_col2 {\n",
" background-color: #c8f5c8;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row49_col4 {\n",
+ "#T_8a66e_row49_col4 {\n",
" background-color: #f5c3c3;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row50_col0, #T_9f1a8_row50_col2, #T_9f1a8_row53_col0, #T_9f1a8_row53_col2 {\n",
+ "#T_8a66e_row50_col0, #T_8a66e_row50_col2, #T_8a66e_row53_col0, #T_8a66e_row53_col2 {\n",
" background-color: #8ff98f;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row50_col4 {\n",
+ "#T_8a66e_row50_col4 {\n",
" background-color: #fd2e2e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row51_col0, #T_9f1a8_row51_col2, #T_9f1a8_row55_col0, #T_9f1a8_row55_col2, #T_9f1a8_row59_col0, #T_9f1a8_row59_col2 {\n",
+ "#T_8a66e_row51_col0, #T_8a66e_row51_col2, #T_8a66e_row55_col0, #T_8a66e_row55_col2, #T_8a66e_row59_col0, #T_8a66e_row59_col2 {\n",
" background-color: #d6f4d6;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row51_col4 {\n",
+ "#T_8a66e_row51_col4 {\n",
" background-color: #f5cbcb;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row52_col0, #T_9f1a8_row52_col2 {\n",
+ "#T_8a66e_row52_col0, #T_8a66e_row52_col2 {\n",
" background-color: #c2f6c2;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row53_col4 {\n",
+ "#T_8a66e_row53_col4 {\n",
" background-color: #fe1a1a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row54_col4 {\n",
+ "#T_8a66e_row54_col4 {\n",
" background-color: #f4d2d2;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row55_col4, #T_9f1a8_row58_col4 {\n",
+ "#T_8a66e_row55_col4, #T_8a66e_row58_col4 {\n",
" background-color: #f4cfcf;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row56_col0, #T_9f1a8_row56_col2 {\n",
+ "#T_8a66e_row56_col0, #T_8a66e_row56_col2 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row56_col4 {\n",
+ "#T_8a66e_row56_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_9f1a8_row57_col4 {\n",
+ "#T_8a66e_row57_col4 {\n",
" background-color: #f5c9c9;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row58_col0, #T_9f1a8_row58_col2 {\n",
+ "#T_8a66e_row58_col0, #T_8a66e_row58_col2 {\n",
" background-color: #cef5ce;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row59_col4 {\n",
+ "#T_8a66e_row59_col4 {\n",
" background-color: #f5cccc;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row60_col0, #T_9f1a8_row60_col2 {\n",
+ "#T_8a66e_row60_col0, #T_8a66e_row60_col2 {\n",
" background-color: #dcf4dc;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row61_col0, #T_9f1a8_row61_col2 {\n",
+ "#T_8a66e_row61_col0, #T_8a66e_row61_col2 {\n",
" background-color: #e1f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row62_col0, #T_9f1a8_row62_col2 {\n",
+ "#T_8a66e_row62_col0, #T_8a66e_row62_col2 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_9f1a8_row63_col0, #T_9f1a8_row63_col2 {\n",
+ "#T_8a66e_row63_col0, #T_8a66e_row63_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_9f1a8\">\n",
+ "<table id=\"T_8a66e\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_9f1a8_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
- " <th id=\"T_9f1a8_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
- " <th id=\"T_9f1a8_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " <th id=\"T_8a66e_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_8a66e_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_8a66e_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_9f1a8_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
- " <th id=\"T_9f1a8_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
- " <th id=\"T_9f1a8_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
- " <th id=\"T_9f1a8_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
- " <th id=\"T_9f1a8_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
- " <th id=\"T_9f1a8_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " <th id=\"T_8a66e_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_8a66e_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_8a66e_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_8a66e_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_8a66e_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_8a66e_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_9f1a8_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_9f1a8_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_9f1a8_row0_col0\" class=\"data row0 col0\" >29.05</td>\n",
- " <td id=\"T_9f1a8_row0_col1\" class=\"data row0 col1\" >2.94</td>\n",
- " <td id=\"T_9f1a8_row0_col2\" class=\"data row0 col2\" >2.10</td>\n",
- " <td id=\"T_9f1a8_row0_col3\" class=\"data row0 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row0_col4\" class=\"data row0 col4\" >18.14</td>\n",
- " <td id=\"T_9f1a8_row0_col5\" class=\"data row0 col5\" >5.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_9f1a8_row1_col0\" class=\"data row1 col0\" >30.10</td>\n",
- " <td id=\"T_9f1a8_row1_col1\" class=\"data row1 col1\" >2.96</td>\n",
- " <td id=\"T_9f1a8_row1_col2\" class=\"data row1 col2\" >2.18</td>\n",
- " <td id=\"T_9f1a8_row1_col3\" class=\"data row1 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row1_col4\" class=\"data row1 col4\" >13.17</td>\n",
- " <td id=\"T_9f1a8_row1_col5\" class=\"data row1 col5\" >3.62</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_9f1a8_row2_col0\" class=\"data row2 col0\" >31.22</td>\n",
- " <td id=\"T_9f1a8_row2_col1\" class=\"data row2 col1\" >3.41</td>\n",
- " <td id=\"T_9f1a8_row2_col2\" class=\"data row2 col2\" >2.26</td>\n",
- " <td id=\"T_9f1a8_row2_col3\" class=\"data row2 col3\" >0.25</td>\n",
- " <td id=\"T_9f1a8_row2_col4\" class=\"data row2 col4\" >8.94</td>\n",
- " <td id=\"T_9f1a8_row2_col5\" class=\"data row2 col5\" >3.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_9f1a8_row3_col0\" class=\"data row3 col0\" >29.40</td>\n",
- " <td id=\"T_9f1a8_row3_col1\" class=\"data row3 col1\" >2.96</td>\n",
- " <td id=\"T_9f1a8_row3_col2\" class=\"data row3 col2\" >2.13</td>\n",
- " <td id=\"T_9f1a8_row3_col3\" class=\"data row3 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row3_col4\" class=\"data row3 col4\" >11.30</td>\n",
- " <td id=\"T_9f1a8_row3_col5\" class=\"data row3 col5\" >3.21</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_9f1a8_row4_col0\" class=\"data row4 col0\" >35.76</td>\n",
- " <td id=\"T_9f1a8_row4_col1\" class=\"data row4 col1\" >4.11</td>\n",
- " <td id=\"T_9f1a8_row4_col2\" class=\"data row4 col2\" >2.59</td>\n",
- " <td id=\"T_9f1a8_row4_col3\" class=\"data row4 col3\" >0.30</td>\n",
- " <td id=\"T_9f1a8_row4_col4\" class=\"data row4 col4\" >1.46</td>\n",
- " <td id=\"T_9f1a8_row4_col5\" class=\"data row4 col5\" >0.85</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_9f1a8_row5_col0\" class=\"data row5 col0\" >25.83</td>\n",
- " <td id=\"T_9f1a8_row5_col1\" class=\"data row5 col1\" >3.19</td>\n",
- " <td id=\"T_9f1a8_row5_col2\" class=\"data row5 col2\" >1.87</td>\n",
- " <td id=\"T_9f1a8_row5_col3\" class=\"data row5 col3\" >0.23</td>\n",
- " <td id=\"T_9f1a8_row5_col4\" class=\"data row5 col4\" >20.25</td>\n",
- " <td id=\"T_9f1a8_row5_col5\" class=\"data row5 col5\" >4.60</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_9f1a8_row6_col0\" class=\"data row6 col0\" >26.10</td>\n",
- " <td id=\"T_9f1a8_row6_col1\" class=\"data row6 col1\" >3.05</td>\n",
- " <td id=\"T_9f1a8_row6_col2\" class=\"data row6 col2\" >1.89</td>\n",
- " <td id=\"T_9f1a8_row6_col3\" class=\"data row6 col3\" >0.22</td>\n",
- " <td id=\"T_9f1a8_row6_col4\" class=\"data row6 col4\" >15.39</td>\n",
- " <td id=\"T_9f1a8_row6_col5\" class=\"data row6 col5\" >3.77</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_9f1a8_row7_col0\" class=\"data row7 col0\" >25.07</td>\n",
- " <td id=\"T_9f1a8_row7_col1\" class=\"data row7 col1\" >3.17</td>\n",
- " <td id=\"T_9f1a8_row7_col2\" class=\"data row7 col2\" >1.81</td>\n",
- " <td id=\"T_9f1a8_row7_col3\" class=\"data row7 col3\" >0.23</td>\n",
- " <td id=\"T_9f1a8_row7_col4\" class=\"data row7 col4\" >18.58</td>\n",
- " <td id=\"T_9f1a8_row7_col5\" class=\"data row7 col5\" >4.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_9f1a8_row8_col0\" class=\"data row8 col0\" >25.69</td>\n",
- " <td id=\"T_9f1a8_row8_col1\" class=\"data row8 col1\" >2.79</td>\n",
- " <td id=\"T_9f1a8_row8_col2\" class=\"data row8 col2\" >1.86</td>\n",
- " <td id=\"T_9f1a8_row8_col3\" class=\"data row8 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row8_col4\" class=\"data row8 col4\" >23.74</td>\n",
- " <td id=\"T_9f1a8_row8_col5\" class=\"data row8 col5\" >6.47</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_9f1a8_row9_col0\" class=\"data row9 col0\" >33.34</td>\n",
- " <td id=\"T_9f1a8_row9_col1\" class=\"data row9 col1\" >4.54</td>\n",
- " <td id=\"T_9f1a8_row9_col2\" class=\"data row9 col2\" >2.41</td>\n",
- " <td id=\"T_9f1a8_row9_col3\" class=\"data row9 col3\" >0.33</td>\n",
- " <td id=\"T_9f1a8_row9_col4\" class=\"data row9 col4\" >1.21</td>\n",
- " <td id=\"T_9f1a8_row9_col5\" class=\"data row9 col5\" >0.86</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_9f1a8_row10_col0\" class=\"data row10 col0\" >26.86</td>\n",
- " <td id=\"T_9f1a8_row10_col1\" class=\"data row10 col1\" >2.69</td>\n",
- " <td id=\"T_9f1a8_row10_col2\" class=\"data row10 col2\" >1.94</td>\n",
- " <td id=\"T_9f1a8_row10_col3\" class=\"data row10 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row10_col4\" class=\"data row10 col4\" >14.35</td>\n",
- " <td id=\"T_9f1a8_row10_col5\" class=\"data row10 col5\" >3.62</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_9f1a8_row11_col0\" class=\"data row11 col0\" >26.56</td>\n",
- " <td id=\"T_9f1a8_row11_col1\" class=\"data row11 col1\" >2.83</td>\n",
- " <td id=\"T_9f1a8_row11_col2\" class=\"data row11 col2\" >1.92</td>\n",
- " <td id=\"T_9f1a8_row11_col3\" class=\"data row11 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row11_col4\" class=\"data row11 col4\" >16.33</td>\n",
- " <td id=\"T_9f1a8_row11_col5\" class=\"data row11 col5\" >3.56</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_9f1a8_row12_col0\" class=\"data row12 col0\" >25.67</td>\n",
- " <td id=\"T_9f1a8_row12_col1\" class=\"data row12 col1\" >2.87</td>\n",
- " <td id=\"T_9f1a8_row12_col2\" class=\"data row12 col2\" >1.86</td>\n",
- " <td id=\"T_9f1a8_row12_col3\" class=\"data row12 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row12_col4\" class=\"data row12 col4\" >23.95</td>\n",
- " <td id=\"T_9f1a8_row12_col5\" class=\"data row12 col5\" >6.40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_9f1a8_row13_col0\" class=\"data row13 col0\" >27.22</td>\n",
- " <td id=\"T_9f1a8_row13_col1\" class=\"data row13 col1\" >2.81</td>\n",
- " <td id=\"T_9f1a8_row13_col2\" class=\"data row13 col2\" >1.97</td>\n",
- " <td id=\"T_9f1a8_row13_col3\" class=\"data row13 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row13_col4\" class=\"data row13 col4\" >16.37</td>\n",
- " <td id=\"T_9f1a8_row13_col5\" class=\"data row13 col5\" >3.92</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_9f1a8_row14_col0\" class=\"data row14 col0\" >32.55</td>\n",
- " <td id=\"T_9f1a8_row14_col1\" class=\"data row14 col1\" >4.68</td>\n",
- " <td id=\"T_9f1a8_row14_col2\" class=\"data row14 col2\" >2.35</td>\n",
- " <td id=\"T_9f1a8_row14_col3\" class=\"data row14 col3\" >0.34</td>\n",
- " <td id=\"T_9f1a8_row14_col4\" class=\"data row14 col4\" >0.84</td>\n",
- " <td id=\"T_9f1a8_row14_col5\" class=\"data row14 col5\" >0.43</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_9f1a8_row15_col0\" class=\"data row15 col0\" >26.81</td>\n",
- " <td id=\"T_9f1a8_row15_col1\" class=\"data row15 col1\" >3.04</td>\n",
- " <td id=\"T_9f1a8_row15_col2\" class=\"data row15 col2\" >1.94</td>\n",
- " <td id=\"T_9f1a8_row15_col3\" class=\"data row15 col3\" >0.22</td>\n",
- " <td id=\"T_9f1a8_row15_col4\" class=\"data row15 col4\" >15.63</td>\n",
- " <td id=\"T_9f1a8_row15_col5\" class=\"data row15 col5\" >3.69</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_9f1a8_row16_col0\" class=\"data row16 col0\" >25.85</td>\n",
- " <td id=\"T_9f1a8_row16_col1\" class=\"data row16 col1\" >2.61</td>\n",
- " <td id=\"T_9f1a8_row16_col2\" class=\"data row16 col2\" >1.87</td>\n",
- " <td id=\"T_9f1a8_row16_col3\" class=\"data row16 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row16_col4\" class=\"data row16 col4\" >23.91</td>\n",
- " <td id=\"T_9f1a8_row16_col5\" class=\"data row16 col5\" >6.27</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_9f1a8_row17_col0\" class=\"data row17 col0\" >27.43</td>\n",
- " <td id=\"T_9f1a8_row17_col1\" class=\"data row17 col1\" >2.62</td>\n",
- " <td id=\"T_9f1a8_row17_col2\" class=\"data row17 col2\" >1.98</td>\n",
- " <td id=\"T_9f1a8_row17_col3\" class=\"data row17 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row17_col4\" class=\"data row17 col4\" >17.01</td>\n",
- " <td id=\"T_9f1a8_row17_col5\" class=\"data row17 col5\" >4.51</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_9f1a8_row18_col0\" class=\"data row18 col0\" >27.19</td>\n",
- " <td id=\"T_9f1a8_row18_col1\" class=\"data row18 col1\" >3.39</td>\n",
- " <td id=\"T_9f1a8_row18_col2\" class=\"data row18 col2\" >1.97</td>\n",
- " <td id=\"T_9f1a8_row18_col3\" class=\"data row18 col3\" >0.25</td>\n",
- " <td id=\"T_9f1a8_row18_col4\" class=\"data row18 col4\" >13.03</td>\n",
- " <td id=\"T_9f1a8_row18_col5\" class=\"data row18 col5\" >3.57</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_9f1a8_row19_col0\" class=\"data row19 col0\" >31.84</td>\n",
- " <td id=\"T_9f1a8_row19_col1\" class=\"data row19 col1\" >4.63</td>\n",
- " <td id=\"T_9f1a8_row19_col2\" class=\"data row19 col2\" >2.30</td>\n",
- " <td id=\"T_9f1a8_row19_col3\" class=\"data row19 col3\" >0.33</td>\n",
- " <td id=\"T_9f1a8_row19_col4\" class=\"data row19 col4\" >0.80</td>\n",
- " <td id=\"T_9f1a8_row19_col5\" class=\"data row19 col5\" >0.50</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_9f1a8_row20_col0\" class=\"data row20 col0\" >18.53</td>\n",
- " <td id=\"T_9f1a8_row20_col1\" class=\"data row20 col1\" >3.60</td>\n",
- " <td id=\"T_9f1a8_row20_col2\" class=\"data row20 col2\" >1.34</td>\n",
- " <td id=\"T_9f1a8_row20_col3\" class=\"data row20 col3\" >0.26</td>\n",
- " <td id=\"T_9f1a8_row20_col4\" class=\"data row20 col4\" >4.38</td>\n",
- " <td id=\"T_9f1a8_row20_col5\" class=\"data row20 col5\" >1.99</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_9f1a8_row21_col0\" class=\"data row21 col0\" >16.78</td>\n",
- " <td id=\"T_9f1a8_row21_col1\" class=\"data row21 col1\" >3.32</td>\n",
- " <td id=\"T_9f1a8_row21_col2\" class=\"data row21 col2\" >1.21</td>\n",
- " <td id=\"T_9f1a8_row21_col3\" class=\"data row21 col3\" >0.24</td>\n",
- " <td id=\"T_9f1a8_row21_col4\" class=\"data row21 col4\" >3.40</td>\n",
- " <td id=\"T_9f1a8_row21_col5\" class=\"data row21 col5\" >1.53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_9f1a8_row22_col0\" class=\"data row22 col0\" >23.36</td>\n",
- " <td id=\"T_9f1a8_row22_col1\" class=\"data row22 col1\" >2.82</td>\n",
- " <td id=\"T_9f1a8_row22_col2\" class=\"data row22 col2\" >1.69</td>\n",
- " <td id=\"T_9f1a8_row22_col3\" class=\"data row22 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row22_col4\" class=\"data row22 col4\" >22.06</td>\n",
- " <td id=\"T_9f1a8_row22_col5\" class=\"data row22 col5\" >4.90</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_9f1a8_row23_col0\" class=\"data row23 col0\" >22.30</td>\n",
- " <td id=\"T_9f1a8_row23_col1\" class=\"data row23 col1\" >2.80</td>\n",
- " <td id=\"T_9f1a8_row23_col2\" class=\"data row23 col2\" >1.61</td>\n",
- " <td id=\"T_9f1a8_row23_col3\" class=\"data row23 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row23_col4\" class=\"data row23 col4\" >26.08</td>\n",
- " <td id=\"T_9f1a8_row23_col5\" class=\"data row23 col5\" >5.21</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_9f1a8_row24_col0\" class=\"data row24 col0\" >19.71</td>\n",
- " <td id=\"T_9f1a8_row24_col1\" class=\"data row24 col1\" >3.54</td>\n",
- " <td id=\"T_9f1a8_row24_col2\" class=\"data row24 col2\" >1.43</td>\n",
- " <td id=\"T_9f1a8_row24_col3\" class=\"data row24 col3\" >0.26</td>\n",
- " <td id=\"T_9f1a8_row24_col4\" class=\"data row24 col4\" >4.10</td>\n",
- " <td id=\"T_9f1a8_row24_col5\" class=\"data row24 col5\" >2.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_9f1a8_row25_col0\" class=\"data row25 col0\" >23.53</td>\n",
- " <td id=\"T_9f1a8_row25_col1\" class=\"data row25 col1\" >2.68</td>\n",
- " <td id=\"T_9f1a8_row25_col2\" class=\"data row25 col2\" >1.70</td>\n",
- " <td id=\"T_9f1a8_row25_col3\" class=\"data row25 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row25_col4\" class=\"data row25 col4\" >25.22</td>\n",
- " <td id=\"T_9f1a8_row25_col5\" class=\"data row25 col5\" >4.92</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_9f1a8_row26_col0\" class=\"data row26 col0\" >16.73</td>\n",
- " <td id=\"T_9f1a8_row26_col1\" class=\"data row26 col1\" >3.58</td>\n",
- " <td id=\"T_9f1a8_row26_col2\" class=\"data row26 col2\" >1.21</td>\n",
- " <td id=\"T_9f1a8_row26_col3\" class=\"data row26 col3\" >0.26</td>\n",
- " <td id=\"T_9f1a8_row26_col4\" class=\"data row26 col4\" >2.02</td>\n",
- " <td id=\"T_9f1a8_row26_col5\" class=\"data row26 col5\" >1.02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_9f1a8_row27_col0\" class=\"data row27 col0\" >21.98</td>\n",
- " <td id=\"T_9f1a8_row27_col1\" class=\"data row27 col1\" >2.65</td>\n",
- " <td id=\"T_9f1a8_row27_col2\" class=\"data row27 col2\" >1.59</td>\n",
- " <td id=\"T_9f1a8_row27_col3\" class=\"data row27 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row27_col4\" class=\"data row27 col4\" >24.95</td>\n",
- " <td id=\"T_9f1a8_row27_col5\" class=\"data row27 col5\" >4.98</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_9f1a8_row28_col0\" class=\"data row28 col0\" >18.39</td>\n",
- " <td id=\"T_9f1a8_row28_col1\" class=\"data row28 col1\" >3.83</td>\n",
- " <td id=\"T_9f1a8_row28_col2\" class=\"data row28 col2\" >1.33</td>\n",
- " <td id=\"T_9f1a8_row28_col3\" class=\"data row28 col3\" >0.28</td>\n",
- " <td id=\"T_9f1a8_row28_col4\" class=\"data row28 col4\" >4.31</td>\n",
- " <td id=\"T_9f1a8_row28_col5\" class=\"data row28 col5\" >2.22</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_9f1a8_row29_col0\" class=\"data row29 col0\" >23.32</td>\n",
- " <td id=\"T_9f1a8_row29_col1\" class=\"data row29 col1\" >2.68</td>\n",
- " <td id=\"T_9f1a8_row29_col2\" class=\"data row29 col2\" >1.69</td>\n",
- " <td id=\"T_9f1a8_row29_col3\" class=\"data row29 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row29_col4\" class=\"data row29 col4\" >26.17</td>\n",
- " <td id=\"T_9f1a8_row29_col5\" class=\"data row29 col5\" >5.34</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_9f1a8_row30_col0\" class=\"data row30 col0\" >23.15</td>\n",
- " <td id=\"T_9f1a8_row30_col1\" class=\"data row30 col1\" >2.80</td>\n",
- " <td id=\"T_9f1a8_row30_col2\" class=\"data row30 col2\" >1.67</td>\n",
- " <td id=\"T_9f1a8_row30_col3\" class=\"data row30 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row30_col4\" class=\"data row30 col4\" >21.44</td>\n",
- " <td id=\"T_9f1a8_row30_col5\" class=\"data row30 col5\" >4.76</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_9f1a8_row31_col0\" class=\"data row31 col0\" >14.53</td>\n",
- " <td id=\"T_9f1a8_row31_col1\" class=\"data row31 col1\" >3.15</td>\n",
- " <td id=\"T_9f1a8_row31_col2\" class=\"data row31 col2\" >1.05</td>\n",
- " <td id=\"T_9f1a8_row31_col3\" class=\"data row31 col3\" >0.23</td>\n",
- " <td id=\"T_9f1a8_row31_col4\" class=\"data row31 col4\" >2.77</td>\n",
- " <td id=\"T_9f1a8_row31_col5\" class=\"data row31 col5\" >1.23</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_9f1a8_row32_col0\" class=\"data row32 col0\" >22.61</td>\n",
- " <td id=\"T_9f1a8_row32_col1\" class=\"data row32 col1\" >2.65</td>\n",
- " <td id=\"T_9f1a8_row32_col2\" class=\"data row32 col2\" >1.64</td>\n",
- " <td id=\"T_9f1a8_row32_col3\" class=\"data row32 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row32_col4\" class=\"data row32 col4\" >29.85</td>\n",
- " <td id=\"T_9f1a8_row32_col5\" class=\"data row32 col5\" >6.96</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_9f1a8_row33_col0\" class=\"data row33 col0\" >16.67</td>\n",
- " <td id=\"T_9f1a8_row33_col1\" class=\"data row33 col1\" >3.25</td>\n",
- " <td id=\"T_9f1a8_row33_col2\" class=\"data row33 col2\" >1.21</td>\n",
- " <td id=\"T_9f1a8_row33_col3\" class=\"data row33 col3\" >0.23</td>\n",
- " <td id=\"T_9f1a8_row33_col4\" class=\"data row33 col4\" >2.84</td>\n",
- " <td id=\"T_9f1a8_row33_col5\" class=\"data row33 col5\" >1.51</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_9f1a8_row34_col0\" class=\"data row34 col0\" >14.87</td>\n",
- " <td id=\"T_9f1a8_row34_col1\" class=\"data row34 col1\" >3.39</td>\n",
- " <td id=\"T_9f1a8_row34_col2\" class=\"data row34 col2\" >1.08</td>\n",
- " <td id=\"T_9f1a8_row34_col3\" class=\"data row34 col3\" >0.24</td>\n",
- " <td id=\"T_9f1a8_row34_col4\" class=\"data row34 col4\" >2.30</td>\n",
- " <td id=\"T_9f1a8_row34_col5\" class=\"data row34 col5\" >1.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_9f1a8_row35_col0\" class=\"data row35 col0\" >22.90</td>\n",
- " <td id=\"T_9f1a8_row35_col1\" class=\"data row35 col1\" >2.66</td>\n",
- " <td id=\"T_9f1a8_row35_col2\" class=\"data row35 col2\" >1.66</td>\n",
- " <td id=\"T_9f1a8_row35_col3\" class=\"data row35 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row35_col4\" class=\"data row35 col4\" >22.41</td>\n",
- " <td id=\"T_9f1a8_row35_col5\" class=\"data row35 col5\" >5.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_9f1a8_row36_col0\" class=\"data row36 col0\" >22.30</td>\n",
- " <td id=\"T_9f1a8_row36_col1\" class=\"data row36 col1\" >3.04</td>\n",
- " <td id=\"T_9f1a8_row36_col2\" class=\"data row36 col2\" >1.61</td>\n",
- " <td id=\"T_9f1a8_row36_col3\" class=\"data row36 col3\" >0.22</td>\n",
- " <td id=\"T_9f1a8_row36_col4\" class=\"data row36 col4\" >30.65</td>\n",
- " <td id=\"T_9f1a8_row36_col5\" class=\"data row36 col5\" >7.98</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_9f1a8_row37_col0\" class=\"data row37 col0\" >16.97</td>\n",
- " <td id=\"T_9f1a8_row37_col1\" class=\"data row37 col1\" >3.42</td>\n",
- " <td id=\"T_9f1a8_row37_col2\" class=\"data row37 col2\" >1.23</td>\n",
- " <td id=\"T_9f1a8_row37_col3\" class=\"data row37 col3\" >0.25</td>\n",
- " <td id=\"T_9f1a8_row37_col4\" class=\"data row37 col4\" >3.23</td>\n",
- " <td id=\"T_9f1a8_row37_col5\" class=\"data row37 col5\" >1.47</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_9f1a8_row38_col0\" class=\"data row38 col0\" >23.96</td>\n",
- " <td id=\"T_9f1a8_row38_col1\" class=\"data row38 col1\" >2.80</td>\n",
- " <td id=\"T_9f1a8_row38_col2\" class=\"data row38 col2\" >1.73</td>\n",
- " <td id=\"T_9f1a8_row38_col3\" class=\"data row38 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row38_col4\" class=\"data row38 col4\" >19.20</td>\n",
- " <td id=\"T_9f1a8_row38_col5\" class=\"data row38 col5\" >4.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_9f1a8_row39_col0\" class=\"data row39 col0\" >13.58</td>\n",
- " <td id=\"T_9f1a8_row39_col1\" class=\"data row39 col1\" >2.87</td>\n",
- " <td id=\"T_9f1a8_row39_col2\" class=\"data row39 col2\" >0.98</td>\n",
- " <td id=\"T_9f1a8_row39_col3\" class=\"data row39 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row39_col4\" class=\"data row39 col4\" >2.69</td>\n",
- " <td id=\"T_9f1a8_row39_col5\" class=\"data row39 col5\" >1.21</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_9f1a8_row40_col0\" class=\"data row40 col0\" >22.78</td>\n",
- " <td id=\"T_9f1a8_row40_col1\" class=\"data row40 col1\" >2.92</td>\n",
- " <td id=\"T_9f1a8_row40_col2\" class=\"data row40 col2\" >1.65</td>\n",
- " <td id=\"T_9f1a8_row40_col3\" class=\"data row40 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row40_col4\" class=\"data row40 col4\" >29.42</td>\n",
- " <td id=\"T_9f1a8_row40_col5\" class=\"data row40 col5\" >7.40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_9f1a8_row41_col0\" class=\"data row41 col0\" >24.35</td>\n",
- " <td id=\"T_9f1a8_row41_col1\" class=\"data row41 col1\" >2.93</td>\n",
- " <td id=\"T_9f1a8_row41_col2\" class=\"data row41 col2\" >1.76</td>\n",
- " <td id=\"T_9f1a8_row41_col3\" class=\"data row41 col3\" >0.21</td>\n",
- " <td id=\"T_9f1a8_row41_col4\" class=\"data row41 col4\" >21.75</td>\n",
- " <td id=\"T_9f1a8_row41_col5\" class=\"data row41 col5\" >4.54</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_9f1a8_row42_col0\" class=\"data row42 col0\" >15.99</td>\n",
- " <td id=\"T_9f1a8_row42_col1\" class=\"data row42 col1\" >3.24</td>\n",
- " <td id=\"T_9f1a8_row42_col2\" class=\"data row42 col2\" >1.16</td>\n",
- " <td id=\"T_9f1a8_row42_col3\" class=\"data row42 col3\" >0.23</td>\n",
- " <td id=\"T_9f1a8_row42_col4\" class=\"data row42 col4\" >2.00</td>\n",
- " <td id=\"T_9f1a8_row42_col5\" class=\"data row42 col5\" >1.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_9f1a8_row43_col0\" class=\"data row43 col0\" >14.44</td>\n",
- " <td id=\"T_9f1a8_row43_col1\" class=\"data row43 col1\" >3.00</td>\n",
- " <td id=\"T_9f1a8_row43_col2\" class=\"data row43 col2\" >1.04</td>\n",
- " <td id=\"T_9f1a8_row43_col3\" class=\"data row43 col3\" >0.22</td>\n",
- " <td id=\"T_9f1a8_row43_col4\" class=\"data row43 col4\" >2.50</td>\n",
- " <td id=\"T_9f1a8_row43_col5\" class=\"data row43 col5\" >1.23</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_9f1a8_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_9f1a8_row44_col0\" class=\"data row44 col0\" >11.47</td>\n",
- " <td id=\"T_9f1a8_row44_col1\" class=\"data row44 col1\" >2.70</td>\n",
- " <td id=\"T_9f1a8_row44_col2\" class=\"data row44 col2\" >0.83</td>\n",
- " <td id=\"T_9f1a8_row44_col3\" class=\"data row44 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row44_col4\" class=\"data row44 col4\" >9.05</td>\n",
- " <td id=\"T_9f1a8_row44_col5\" class=\"data row44 col5\" >3.47</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_9f1a8_row45_col0\" class=\"data row45 col0\" >9.57</td>\n",
- " <td id=\"T_9f1a8_row45_col1\" class=\"data row45 col1\" >2.18</td>\n",
- " <td id=\"T_9f1a8_row45_col2\" class=\"data row45 col2\" >0.69</td>\n",
- " <td id=\"T_9f1a8_row45_col3\" class=\"data row45 col3\" >0.16</td>\n",
- " <td id=\"T_9f1a8_row45_col4\" class=\"data row45 col4\" >7.13</td>\n",
- " <td id=\"T_9f1a8_row45_col5\" class=\"data row45 col5\" >2.40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_9f1a8_row46_col0\" class=\"data row46 col0\" >8.52</td>\n",
- " <td id=\"T_9f1a8_row46_col1\" class=\"data row46 col1\" >2.29</td>\n",
- " <td id=\"T_9f1a8_row46_col2\" class=\"data row46 col2\" >0.62</td>\n",
- " <td id=\"T_9f1a8_row46_col3\" class=\"data row46 col3\" >0.17</td>\n",
- " <td id=\"T_9f1a8_row46_col4\" class=\"data row46 col4\" >4.46</td>\n",
- " <td id=\"T_9f1a8_row46_col5\" class=\"data row46 col5\" >1.76</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_9f1a8_row47_col0\" class=\"data row47 col0\" >18.28</td>\n",
- " <td id=\"T_9f1a8_row47_col1\" class=\"data row47 col1\" >2.48</td>\n",
- " <td id=\"T_9f1a8_row47_col2\" class=\"data row47 col2\" >1.32</td>\n",
- " <td id=\"T_9f1a8_row47_col3\" class=\"data row47 col3\" >0.18</td>\n",
- " <td id=\"T_9f1a8_row47_col4\" class=\"data row47 col4\" >34.06</td>\n",
- " <td id=\"T_9f1a8_row47_col5\" class=\"data row47 col5\" >5.78</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_9f1a8_row48_col0\" class=\"data row48 col0\" >10.63</td>\n",
- " <td id=\"T_9f1a8_row48_col1\" class=\"data row48 col1\" >2.47</td>\n",
- " <td id=\"T_9f1a8_row48_col2\" class=\"data row48 col2\" >0.77</td>\n",
- " <td id=\"T_9f1a8_row48_col3\" class=\"data row48 col3\" >0.18</td>\n",
- " <td id=\"T_9f1a8_row48_col4\" class=\"data row48 col4\" >9.75</td>\n",
- " <td id=\"T_9f1a8_row48_col5\" class=\"data row48 col5\" >3.94</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_9f1a8_row49_col0\" class=\"data row49 col0\" >9.84</td>\n",
- " <td id=\"T_9f1a8_row49_col1\" class=\"data row49 col1\" >2.47</td>\n",
- " <td id=\"T_9f1a8_row49_col2\" class=\"data row49 col2\" >0.71</td>\n",
- " <td id=\"T_9f1a8_row49_col3\" class=\"data row49 col3\" >0.18</td>\n",
- " <td id=\"T_9f1a8_row49_col4\" class=\"data row49 col4\" >7.62</td>\n",
- " <td id=\"T_9f1a8_row49_col5\" class=\"data row49 col5\" >2.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_9f1a8_row50_col0\" class=\"data row50 col0\" >19.80</td>\n",
- " <td id=\"T_9f1a8_row50_col1\" class=\"data row50 col1\" >2.65</td>\n",
- " <td id=\"T_9f1a8_row50_col2\" class=\"data row50 col2\" >1.43</td>\n",
- " <td id=\"T_9f1a8_row50_col3\" class=\"data row50 col3\" >0.19</td>\n",
- " <td id=\"T_9f1a8_row50_col4\" class=\"data row50 col4\" >29.71</td>\n",
- " <td id=\"T_9f1a8_row50_col5\" class=\"data row50 col5\" >5.77</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_9f1a8_row51_col0\" class=\"data row51 col0\" >7.35</td>\n",
- " <td id=\"T_9f1a8_row51_col1\" class=\"data row51 col1\" >1.97</td>\n",
- " <td id=\"T_9f1a8_row51_col2\" class=\"data row51 col2\" >0.53</td>\n",
- " <td id=\"T_9f1a8_row51_col3\" class=\"data row51 col3\" >0.14</td>\n",
- " <td id=\"T_9f1a8_row51_col4\" class=\"data row51 col4\" >6.28</td>\n",
- " <td id=\"T_9f1a8_row51_col5\" class=\"data row51 col5\" >2.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_9f1a8_row52_col0\" class=\"data row52 col0\" >10.88</td>\n",
- " <td id=\"T_9f1a8_row52_col1\" class=\"data row52 col1\" >2.35</td>\n",
- " <td id=\"T_9f1a8_row52_col2\" class=\"data row52 col2\" >0.79</td>\n",
- " <td id=\"T_9f1a8_row52_col3\" class=\"data row52 col3\" >0.17</td>\n",
- " <td id=\"T_9f1a8_row52_col4\" class=\"data row52 col4\" >9.62</td>\n",
- " <td id=\"T_9f1a8_row52_col5\" class=\"data row52 col5\" >3.66</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_9f1a8_row53_col0\" class=\"data row53 col0\" >19.87</td>\n",
- " <td id=\"T_9f1a8_row53_col1\" class=\"data row53 col1\" >2.81</td>\n",
- " <td id=\"T_9f1a8_row53_col2\" class=\"data row53 col2\" >1.44</td>\n",
- " <td id=\"T_9f1a8_row53_col3\" class=\"data row53 col3\" >0.20</td>\n",
- " <td id=\"T_9f1a8_row53_col4\" class=\"data row53 col4\" >32.58</td>\n",
- " <td id=\"T_9f1a8_row53_col5\" class=\"data row53 col5\" >6.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_9f1a8_row54_col0\" class=\"data row54 col0\" >9.59</td>\n",
- " <td id=\"T_9f1a8_row54_col1\" class=\"data row54 col1\" >2.51</td>\n",
- " <td id=\"T_9f1a8_row54_col2\" class=\"data row54 col2\" >0.69</td>\n",
- " <td id=\"T_9f1a8_row54_col3\" class=\"data row54 col3\" >0.18</td>\n",
- " <td id=\"T_9f1a8_row54_col4\" class=\"data row54 col4\" >5.33</td>\n",
- " <td id=\"T_9f1a8_row54_col5\" class=\"data row54 col5\" >1.96</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_9f1a8_row55_col0\" class=\"data row55 col0\" >7.49</td>\n",
- " <td id=\"T_9f1a8_row55_col1\" class=\"data row55 col1\" >2.07</td>\n",
- " <td id=\"T_9f1a8_row55_col2\" class=\"data row55 col2\" >0.54</td>\n",
- " <td id=\"T_9f1a8_row55_col3\" class=\"data row55 col3\" >0.15</td>\n",
- " <td id=\"T_9f1a8_row55_col4\" class=\"data row55 col4\" >5.74</td>\n",
- " <td id=\"T_9f1a8_row55_col5\" class=\"data row55 col5\" >1.95</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_9f1a8_row56_col0\" class=\"data row56 col0\" >19.28</td>\n",
- " <td id=\"T_9f1a8_row56_col1\" class=\"data row56 col1\" >3.04</td>\n",
- " <td id=\"T_9f1a8_row56_col2\" class=\"data row56 col2\" >1.39</td>\n",
- " <td id=\"T_9f1a8_row56_col3\" class=\"data row56 col3\" >0.22</td>\n",
- " <td id=\"T_9f1a8_row56_col4\" class=\"data row56 col4\" >36.62</td>\n",
- " <td id=\"T_9f1a8_row56_col5\" class=\"data row56 col5\" >8.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_9f1a8_row57_col0\" class=\"data row57 col0\" >9.89</td>\n",
- " <td id=\"T_9f1a8_row57_col1\" class=\"data row57 col1\" >2.13</td>\n",
- " <td id=\"T_9f1a8_row57_col2\" class=\"data row57 col2\" >0.72</td>\n",
- " <td id=\"T_9f1a8_row57_col3\" class=\"data row57 col3\" >0.15</td>\n",
- " <td id=\"T_9f1a8_row57_col4\" class=\"data row57 col4\" >6.65</td>\n",
- " <td id=\"T_9f1a8_row57_col5\" class=\"data row57 col5\" >2.68</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_9f1a8_row58_col0\" class=\"data row58 col0\" >8.92</td>\n",
- " <td id=\"T_9f1a8_row58_col1\" class=\"data row58 col1\" >2.20</td>\n",
- " <td id=\"T_9f1a8_row58_col2\" class=\"data row58 col2\" >0.65</td>\n",
- " <td id=\"T_9f1a8_row58_col3\" class=\"data row58 col3\" >0.16</td>\n",
- " <td id=\"T_9f1a8_row58_col4\" class=\"data row58 col4\" >5.81</td>\n",
- " <td id=\"T_9f1a8_row58_col5\" class=\"data row58 col5\" >1.90</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_9f1a8_row59_col0\" class=\"data row59 col0\" >7.55</td>\n",
- " <td id=\"T_9f1a8_row59_col1\" class=\"data row59 col1\" >2.08</td>\n",
- " <td id=\"T_9f1a8_row59_col2\" class=\"data row59 col2\" >0.55</td>\n",
- " <td id=\"T_9f1a8_row59_col3\" class=\"data row59 col3\" >0.15</td>\n",
- " <td id=\"T_9f1a8_row59_col4\" class=\"data row59 col4\" >6.16</td>\n",
- " <td id=\"T_9f1a8_row59_col5\" class=\"data row59 col5\" >2.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_9f1a8_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_9f1a8_row60_col0\" class=\"data row60 col0\" >6.41</td>\n",
- " <td id=\"T_9f1a8_row60_col1\" class=\"data row60 col1\" >2.19</td>\n",
- " <td id=\"T_9f1a8_row60_col2\" class=\"data row60 col2\" >0.46</td>\n",
- " <td id=\"T_9f1a8_row60_col3\" class=\"data row60 col3\" >0.16</td>\n",
- " <td id=\"T_9f1a8_row60_col4\" class=\"data row60 col4\" >18.14</td>\n",
- " <td id=\"T_9f1a8_row60_col5\" class=\"data row60 col5\" >5.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_9f1a8_row61_col0\" class=\"data row61 col0\" >5.67</td>\n",
- " <td id=\"T_9f1a8_row61_col1\" class=\"data row61 col1\" >1.52</td>\n",
- " <td id=\"T_9f1a8_row61_col2\" class=\"data row61 col2\" >0.41</td>\n",
- " <td id=\"T_9f1a8_row61_col3\" class=\"data row61 col3\" >0.11</td>\n",
- " <td id=\"T_9f1a8_row61_col4\" class=\"data row61 col4\" >13.17</td>\n",
- " <td id=\"T_9f1a8_row61_col5\" class=\"data row61 col5\" >3.62</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_9f1a8_row62_col0\" class=\"data row62 col0\" >5.29</td>\n",
- " <td id=\"T_9f1a8_row62_col1\" class=\"data row62 col1\" >1.65</td>\n",
- " <td id=\"T_9f1a8_row62_col2\" class=\"data row62 col2\" >0.38</td>\n",
- " <td id=\"T_9f1a8_row62_col3\" class=\"data row62 col3\" >0.12</td>\n",
- " <td id=\"T_9f1a8_row62_col4\" class=\"data row62 col4\" >8.94</td>\n",
- " <td id=\"T_9f1a8_row62_col5\" class=\"data row62 col5\" >3.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_9f1a8_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_9f1a8_row63_col0\" class=\"data row63 col0\" >3.83</td>\n",
- " <td id=\"T_9f1a8_row63_col1\" class=\"data row63 col1\" >1.30</td>\n",
- " <td id=\"T_9f1a8_row63_col2\" class=\"data row63 col2\" >0.28</td>\n",
- " <td id=\"T_9f1a8_row63_col3\" class=\"data row63 col3\" >0.09</td>\n",
- " <td id=\"T_9f1a8_row63_col4\" class=\"data row63 col4\" >11.30</td>\n",
- " <td id=\"T_9f1a8_row63_col5\" class=\"data row63 col5\" >3.21</td>\n",
+ " <th id=\"T_8a66e_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_8a66e_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_8a66e_row0_col0\" class=\"data row0 col0\" >29.05</td>\n",
+ " <td id=\"T_8a66e_row0_col1\" class=\"data row0 col1\" >2.94</td>\n",
+ " <td id=\"T_8a66e_row0_col2\" class=\"data row0 col2\" >2.10</td>\n",
+ " <td id=\"T_8a66e_row0_col3\" class=\"data row0 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row0_col4\" class=\"data row0 col4\" >18.14</td>\n",
+ " <td id=\"T_8a66e_row0_col5\" class=\"data row0 col5\" >5.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_8a66e_row1_col0\" class=\"data row1 col0\" >30.10</td>\n",
+ " <td id=\"T_8a66e_row1_col1\" class=\"data row1 col1\" >2.96</td>\n",
+ " <td id=\"T_8a66e_row1_col2\" class=\"data row1 col2\" >2.18</td>\n",
+ " <td id=\"T_8a66e_row1_col3\" class=\"data row1 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row1_col4\" class=\"data row1 col4\" >13.17</td>\n",
+ " <td id=\"T_8a66e_row1_col5\" class=\"data row1 col5\" >3.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_8a66e_row2_col0\" class=\"data row2 col0\" >31.22</td>\n",
+ " <td id=\"T_8a66e_row2_col1\" class=\"data row2 col1\" >3.41</td>\n",
+ " <td id=\"T_8a66e_row2_col2\" class=\"data row2 col2\" >2.26</td>\n",
+ " <td id=\"T_8a66e_row2_col3\" class=\"data row2 col3\" >0.25</td>\n",
+ " <td id=\"T_8a66e_row2_col4\" class=\"data row2 col4\" >8.94</td>\n",
+ " <td id=\"T_8a66e_row2_col5\" class=\"data row2 col5\" >3.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_8a66e_row3_col0\" class=\"data row3 col0\" >29.40</td>\n",
+ " <td id=\"T_8a66e_row3_col1\" class=\"data row3 col1\" >2.96</td>\n",
+ " <td id=\"T_8a66e_row3_col2\" class=\"data row3 col2\" >2.13</td>\n",
+ " <td id=\"T_8a66e_row3_col3\" class=\"data row3 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row3_col4\" class=\"data row3 col4\" >11.30</td>\n",
+ " <td id=\"T_8a66e_row3_col5\" class=\"data row3 col5\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_8a66e_row4_col0\" class=\"data row4 col0\" >35.76</td>\n",
+ " <td id=\"T_8a66e_row4_col1\" class=\"data row4 col1\" >4.11</td>\n",
+ " <td id=\"T_8a66e_row4_col2\" class=\"data row4 col2\" >2.59</td>\n",
+ " <td id=\"T_8a66e_row4_col3\" class=\"data row4 col3\" >0.30</td>\n",
+ " <td id=\"T_8a66e_row4_col4\" class=\"data row4 col4\" >1.46</td>\n",
+ " <td id=\"T_8a66e_row4_col5\" class=\"data row4 col5\" >0.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_8a66e_row5_col0\" class=\"data row5 col0\" >25.83</td>\n",
+ " <td id=\"T_8a66e_row5_col1\" class=\"data row5 col1\" >3.19</td>\n",
+ " <td id=\"T_8a66e_row5_col2\" class=\"data row5 col2\" >1.87</td>\n",
+ " <td id=\"T_8a66e_row5_col3\" class=\"data row5 col3\" >0.23</td>\n",
+ " <td id=\"T_8a66e_row5_col4\" class=\"data row5 col4\" >20.25</td>\n",
+ " <td id=\"T_8a66e_row5_col5\" class=\"data row5 col5\" >4.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_8a66e_row6_col0\" class=\"data row6 col0\" >26.10</td>\n",
+ " <td id=\"T_8a66e_row6_col1\" class=\"data row6 col1\" >3.05</td>\n",
+ " <td id=\"T_8a66e_row6_col2\" class=\"data row6 col2\" >1.89</td>\n",
+ " <td id=\"T_8a66e_row6_col3\" class=\"data row6 col3\" >0.22</td>\n",
+ " <td id=\"T_8a66e_row6_col4\" class=\"data row6 col4\" >15.39</td>\n",
+ " <td id=\"T_8a66e_row6_col5\" class=\"data row6 col5\" >3.77</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_8a66e_row7_col0\" class=\"data row7 col0\" >25.07</td>\n",
+ " <td id=\"T_8a66e_row7_col1\" class=\"data row7 col1\" >3.17</td>\n",
+ " <td id=\"T_8a66e_row7_col2\" class=\"data row7 col2\" >1.81</td>\n",
+ " <td id=\"T_8a66e_row7_col3\" class=\"data row7 col3\" >0.23</td>\n",
+ " <td id=\"T_8a66e_row7_col4\" class=\"data row7 col4\" >18.58</td>\n",
+ " <td id=\"T_8a66e_row7_col5\" class=\"data row7 col5\" >4.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_8a66e_row8_col0\" class=\"data row8 col0\" >25.69</td>\n",
+ " <td id=\"T_8a66e_row8_col1\" class=\"data row8 col1\" >2.79</td>\n",
+ " <td id=\"T_8a66e_row8_col2\" class=\"data row8 col2\" >1.86</td>\n",
+ " <td id=\"T_8a66e_row8_col3\" class=\"data row8 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row8_col4\" class=\"data row8 col4\" >23.74</td>\n",
+ " <td id=\"T_8a66e_row8_col5\" class=\"data row8 col5\" >6.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_8a66e_row9_col0\" class=\"data row9 col0\" >33.34</td>\n",
+ " <td id=\"T_8a66e_row9_col1\" class=\"data row9 col1\" >4.54</td>\n",
+ " <td id=\"T_8a66e_row9_col2\" class=\"data row9 col2\" >2.41</td>\n",
+ " <td id=\"T_8a66e_row9_col3\" class=\"data row9 col3\" >0.33</td>\n",
+ " <td id=\"T_8a66e_row9_col4\" class=\"data row9 col4\" >1.21</td>\n",
+ " <td id=\"T_8a66e_row9_col5\" class=\"data row9 col5\" >0.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_8a66e_row10_col0\" class=\"data row10 col0\" >26.86</td>\n",
+ " <td id=\"T_8a66e_row10_col1\" class=\"data row10 col1\" >2.69</td>\n",
+ " <td id=\"T_8a66e_row10_col2\" class=\"data row10 col2\" >1.94</td>\n",
+ " <td id=\"T_8a66e_row10_col3\" class=\"data row10 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row10_col4\" class=\"data row10 col4\" >14.35</td>\n",
+ " <td id=\"T_8a66e_row10_col5\" class=\"data row10 col5\" >3.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_8a66e_row11_col0\" class=\"data row11 col0\" >26.56</td>\n",
+ " <td id=\"T_8a66e_row11_col1\" class=\"data row11 col1\" >2.83</td>\n",
+ " <td id=\"T_8a66e_row11_col2\" class=\"data row11 col2\" >1.92</td>\n",
+ " <td id=\"T_8a66e_row11_col3\" class=\"data row11 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row11_col4\" class=\"data row11 col4\" >16.33</td>\n",
+ " <td id=\"T_8a66e_row11_col5\" class=\"data row11 col5\" >3.56</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_8a66e_row12_col0\" class=\"data row12 col0\" >25.67</td>\n",
+ " <td id=\"T_8a66e_row12_col1\" class=\"data row12 col1\" >2.87</td>\n",
+ " <td id=\"T_8a66e_row12_col2\" class=\"data row12 col2\" >1.86</td>\n",
+ " <td id=\"T_8a66e_row12_col3\" class=\"data row12 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row12_col4\" class=\"data row12 col4\" >23.95</td>\n",
+ " <td id=\"T_8a66e_row12_col5\" class=\"data row12 col5\" >6.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_8a66e_row13_col0\" class=\"data row13 col0\" >27.22</td>\n",
+ " <td id=\"T_8a66e_row13_col1\" class=\"data row13 col1\" >2.81</td>\n",
+ " <td id=\"T_8a66e_row13_col2\" class=\"data row13 col2\" >1.97</td>\n",
+ " <td id=\"T_8a66e_row13_col3\" class=\"data row13 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row13_col4\" class=\"data row13 col4\" >16.37</td>\n",
+ " <td id=\"T_8a66e_row13_col5\" class=\"data row13 col5\" >3.92</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_8a66e_row14_col0\" class=\"data row14 col0\" >32.55</td>\n",
+ " <td id=\"T_8a66e_row14_col1\" class=\"data row14 col1\" >4.68</td>\n",
+ " <td id=\"T_8a66e_row14_col2\" class=\"data row14 col2\" >2.35</td>\n",
+ " <td id=\"T_8a66e_row14_col3\" class=\"data row14 col3\" >0.34</td>\n",
+ " <td id=\"T_8a66e_row14_col4\" class=\"data row14 col4\" >0.84</td>\n",
+ " <td id=\"T_8a66e_row14_col5\" class=\"data row14 col5\" >0.43</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_8a66e_row15_col0\" class=\"data row15 col0\" >26.81</td>\n",
+ " <td id=\"T_8a66e_row15_col1\" class=\"data row15 col1\" >3.04</td>\n",
+ " <td id=\"T_8a66e_row15_col2\" class=\"data row15 col2\" >1.94</td>\n",
+ " <td id=\"T_8a66e_row15_col3\" class=\"data row15 col3\" >0.22</td>\n",
+ " <td id=\"T_8a66e_row15_col4\" class=\"data row15 col4\" >15.63</td>\n",
+ " <td id=\"T_8a66e_row15_col5\" class=\"data row15 col5\" >3.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_8a66e_row16_col0\" class=\"data row16 col0\" >25.85</td>\n",
+ " <td id=\"T_8a66e_row16_col1\" class=\"data row16 col1\" >2.61</td>\n",
+ " <td id=\"T_8a66e_row16_col2\" class=\"data row16 col2\" >1.87</td>\n",
+ " <td id=\"T_8a66e_row16_col3\" class=\"data row16 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row16_col4\" class=\"data row16 col4\" >23.91</td>\n",
+ " <td id=\"T_8a66e_row16_col5\" class=\"data row16 col5\" >6.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_8a66e_row17_col0\" class=\"data row17 col0\" >27.43</td>\n",
+ " <td id=\"T_8a66e_row17_col1\" class=\"data row17 col1\" >2.62</td>\n",
+ " <td id=\"T_8a66e_row17_col2\" class=\"data row17 col2\" >1.98</td>\n",
+ " <td id=\"T_8a66e_row17_col3\" class=\"data row17 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row17_col4\" class=\"data row17 col4\" >17.01</td>\n",
+ " <td id=\"T_8a66e_row17_col5\" class=\"data row17 col5\" >4.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_8a66e_row18_col0\" class=\"data row18 col0\" >27.19</td>\n",
+ " <td id=\"T_8a66e_row18_col1\" class=\"data row18 col1\" >3.39</td>\n",
+ " <td id=\"T_8a66e_row18_col2\" class=\"data row18 col2\" >1.97</td>\n",
+ " <td id=\"T_8a66e_row18_col3\" class=\"data row18 col3\" >0.25</td>\n",
+ " <td id=\"T_8a66e_row18_col4\" class=\"data row18 col4\" >13.03</td>\n",
+ " <td id=\"T_8a66e_row18_col5\" class=\"data row18 col5\" >3.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_8a66e_row19_col0\" class=\"data row19 col0\" >31.84</td>\n",
+ " <td id=\"T_8a66e_row19_col1\" class=\"data row19 col1\" >4.63</td>\n",
+ " <td id=\"T_8a66e_row19_col2\" class=\"data row19 col2\" >2.30</td>\n",
+ " <td id=\"T_8a66e_row19_col3\" class=\"data row19 col3\" >0.33</td>\n",
+ " <td id=\"T_8a66e_row19_col4\" class=\"data row19 col4\" >0.80</td>\n",
+ " <td id=\"T_8a66e_row19_col5\" class=\"data row19 col5\" >0.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_8a66e_row20_col0\" class=\"data row20 col0\" >18.53</td>\n",
+ " <td id=\"T_8a66e_row20_col1\" class=\"data row20 col1\" >3.60</td>\n",
+ " <td id=\"T_8a66e_row20_col2\" class=\"data row20 col2\" >1.34</td>\n",
+ " <td id=\"T_8a66e_row20_col3\" class=\"data row20 col3\" >0.26</td>\n",
+ " <td id=\"T_8a66e_row20_col4\" class=\"data row20 col4\" >4.38</td>\n",
+ " <td id=\"T_8a66e_row20_col5\" class=\"data row20 col5\" >1.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_8a66e_row21_col0\" class=\"data row21 col0\" >16.78</td>\n",
+ " <td id=\"T_8a66e_row21_col1\" class=\"data row21 col1\" >3.32</td>\n",
+ " <td id=\"T_8a66e_row21_col2\" class=\"data row21 col2\" >1.21</td>\n",
+ " <td id=\"T_8a66e_row21_col3\" class=\"data row21 col3\" >0.24</td>\n",
+ " <td id=\"T_8a66e_row21_col4\" class=\"data row21 col4\" >3.40</td>\n",
+ " <td id=\"T_8a66e_row21_col5\" class=\"data row21 col5\" >1.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_8a66e_row22_col0\" class=\"data row22 col0\" >23.36</td>\n",
+ " <td id=\"T_8a66e_row22_col1\" class=\"data row22 col1\" >2.82</td>\n",
+ " <td id=\"T_8a66e_row22_col2\" class=\"data row22 col2\" >1.69</td>\n",
+ " <td id=\"T_8a66e_row22_col3\" class=\"data row22 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row22_col4\" class=\"data row22 col4\" >22.06</td>\n",
+ " <td id=\"T_8a66e_row22_col5\" class=\"data row22 col5\" >4.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_8a66e_row23_col0\" class=\"data row23 col0\" >22.30</td>\n",
+ " <td id=\"T_8a66e_row23_col1\" class=\"data row23 col1\" >2.80</td>\n",
+ " <td id=\"T_8a66e_row23_col2\" class=\"data row23 col2\" >1.61</td>\n",
+ " <td id=\"T_8a66e_row23_col3\" class=\"data row23 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row23_col4\" class=\"data row23 col4\" >26.08</td>\n",
+ " <td id=\"T_8a66e_row23_col5\" class=\"data row23 col5\" >5.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_8a66e_row24_col0\" class=\"data row24 col0\" >19.71</td>\n",
+ " <td id=\"T_8a66e_row24_col1\" class=\"data row24 col1\" >3.54</td>\n",
+ " <td id=\"T_8a66e_row24_col2\" class=\"data row24 col2\" >1.43</td>\n",
+ " <td id=\"T_8a66e_row24_col3\" class=\"data row24 col3\" >0.26</td>\n",
+ " <td id=\"T_8a66e_row24_col4\" class=\"data row24 col4\" >4.10</td>\n",
+ " <td id=\"T_8a66e_row24_col5\" class=\"data row24 col5\" >2.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_8a66e_row25_col0\" class=\"data row25 col0\" >23.53</td>\n",
+ " <td id=\"T_8a66e_row25_col1\" class=\"data row25 col1\" >2.68</td>\n",
+ " <td id=\"T_8a66e_row25_col2\" class=\"data row25 col2\" >1.70</td>\n",
+ " <td id=\"T_8a66e_row25_col3\" class=\"data row25 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row25_col4\" class=\"data row25 col4\" >25.22</td>\n",
+ " <td id=\"T_8a66e_row25_col5\" class=\"data row25 col5\" >4.92</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_8a66e_row26_col0\" class=\"data row26 col0\" >16.73</td>\n",
+ " <td id=\"T_8a66e_row26_col1\" class=\"data row26 col1\" >3.58</td>\n",
+ " <td id=\"T_8a66e_row26_col2\" class=\"data row26 col2\" >1.21</td>\n",
+ " <td id=\"T_8a66e_row26_col3\" class=\"data row26 col3\" >0.26</td>\n",
+ " <td id=\"T_8a66e_row26_col4\" class=\"data row26 col4\" >2.02</td>\n",
+ " <td id=\"T_8a66e_row26_col5\" class=\"data row26 col5\" >1.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_8a66e_row27_col0\" class=\"data row27 col0\" >21.98</td>\n",
+ " <td id=\"T_8a66e_row27_col1\" class=\"data row27 col1\" >2.65</td>\n",
+ " <td id=\"T_8a66e_row27_col2\" class=\"data row27 col2\" >1.59</td>\n",
+ " <td id=\"T_8a66e_row27_col3\" class=\"data row27 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row27_col4\" class=\"data row27 col4\" >24.95</td>\n",
+ " <td id=\"T_8a66e_row27_col5\" class=\"data row27 col5\" >4.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_8a66e_row28_col0\" class=\"data row28 col0\" >18.39</td>\n",
+ " <td id=\"T_8a66e_row28_col1\" class=\"data row28 col1\" >3.83</td>\n",
+ " <td id=\"T_8a66e_row28_col2\" class=\"data row28 col2\" >1.33</td>\n",
+ " <td id=\"T_8a66e_row28_col3\" class=\"data row28 col3\" >0.28</td>\n",
+ " <td id=\"T_8a66e_row28_col4\" class=\"data row28 col4\" >4.31</td>\n",
+ " <td id=\"T_8a66e_row28_col5\" class=\"data row28 col5\" >2.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_8a66e_row29_col0\" class=\"data row29 col0\" >23.32</td>\n",
+ " <td id=\"T_8a66e_row29_col1\" class=\"data row29 col1\" >2.68</td>\n",
+ " <td id=\"T_8a66e_row29_col2\" class=\"data row29 col2\" >1.69</td>\n",
+ " <td id=\"T_8a66e_row29_col3\" class=\"data row29 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row29_col4\" class=\"data row29 col4\" >26.17</td>\n",
+ " <td id=\"T_8a66e_row29_col5\" class=\"data row29 col5\" >5.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_8a66e_row30_col0\" class=\"data row30 col0\" >23.15</td>\n",
+ " <td id=\"T_8a66e_row30_col1\" class=\"data row30 col1\" >2.80</td>\n",
+ " <td id=\"T_8a66e_row30_col2\" class=\"data row30 col2\" >1.67</td>\n",
+ " <td id=\"T_8a66e_row30_col3\" class=\"data row30 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row30_col4\" class=\"data row30 col4\" >21.44</td>\n",
+ " <td id=\"T_8a66e_row30_col5\" class=\"data row30 col5\" >4.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_8a66e_row31_col0\" class=\"data row31 col0\" >14.53</td>\n",
+ " <td id=\"T_8a66e_row31_col1\" class=\"data row31 col1\" >3.15</td>\n",
+ " <td id=\"T_8a66e_row31_col2\" class=\"data row31 col2\" >1.05</td>\n",
+ " <td id=\"T_8a66e_row31_col3\" class=\"data row31 col3\" >0.23</td>\n",
+ " <td id=\"T_8a66e_row31_col4\" class=\"data row31 col4\" >2.77</td>\n",
+ " <td id=\"T_8a66e_row31_col5\" class=\"data row31 col5\" >1.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_8a66e_row32_col0\" class=\"data row32 col0\" >22.61</td>\n",
+ " <td id=\"T_8a66e_row32_col1\" class=\"data row32 col1\" >2.65</td>\n",
+ " <td id=\"T_8a66e_row32_col2\" class=\"data row32 col2\" >1.64</td>\n",
+ " <td id=\"T_8a66e_row32_col3\" class=\"data row32 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row32_col4\" class=\"data row32 col4\" >29.85</td>\n",
+ " <td id=\"T_8a66e_row32_col5\" class=\"data row32 col5\" >6.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_8a66e_row33_col0\" class=\"data row33 col0\" >16.67</td>\n",
+ " <td id=\"T_8a66e_row33_col1\" class=\"data row33 col1\" >3.25</td>\n",
+ " <td id=\"T_8a66e_row33_col2\" class=\"data row33 col2\" >1.21</td>\n",
+ " <td id=\"T_8a66e_row33_col3\" class=\"data row33 col3\" >0.23</td>\n",
+ " <td id=\"T_8a66e_row33_col4\" class=\"data row33 col4\" >2.84</td>\n",
+ " <td id=\"T_8a66e_row33_col5\" class=\"data row33 col5\" >1.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_8a66e_row34_col0\" class=\"data row34 col0\" >14.87</td>\n",
+ " <td id=\"T_8a66e_row34_col1\" class=\"data row34 col1\" >3.39</td>\n",
+ " <td id=\"T_8a66e_row34_col2\" class=\"data row34 col2\" >1.08</td>\n",
+ " <td id=\"T_8a66e_row34_col3\" class=\"data row34 col3\" >0.24</td>\n",
+ " <td id=\"T_8a66e_row34_col4\" class=\"data row34 col4\" >2.30</td>\n",
+ " <td id=\"T_8a66e_row34_col5\" class=\"data row34 col5\" >1.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_8a66e_row35_col0\" class=\"data row35 col0\" >22.90</td>\n",
+ " <td id=\"T_8a66e_row35_col1\" class=\"data row35 col1\" >2.66</td>\n",
+ " <td id=\"T_8a66e_row35_col2\" class=\"data row35 col2\" >1.66</td>\n",
+ " <td id=\"T_8a66e_row35_col3\" class=\"data row35 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row35_col4\" class=\"data row35 col4\" >22.41</td>\n",
+ " <td id=\"T_8a66e_row35_col5\" class=\"data row35 col5\" >5.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_8a66e_row36_col0\" class=\"data row36 col0\" >22.30</td>\n",
+ " <td id=\"T_8a66e_row36_col1\" class=\"data row36 col1\" >3.04</td>\n",
+ " <td id=\"T_8a66e_row36_col2\" class=\"data row36 col2\" >1.61</td>\n",
+ " <td id=\"T_8a66e_row36_col3\" class=\"data row36 col3\" >0.22</td>\n",
+ " <td id=\"T_8a66e_row36_col4\" class=\"data row36 col4\" >30.65</td>\n",
+ " <td id=\"T_8a66e_row36_col5\" class=\"data row36 col5\" >7.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_8a66e_row37_col0\" class=\"data row37 col0\" >16.97</td>\n",
+ " <td id=\"T_8a66e_row37_col1\" class=\"data row37 col1\" >3.42</td>\n",
+ " <td id=\"T_8a66e_row37_col2\" class=\"data row37 col2\" >1.23</td>\n",
+ " <td id=\"T_8a66e_row37_col3\" class=\"data row37 col3\" >0.25</td>\n",
+ " <td id=\"T_8a66e_row37_col4\" class=\"data row37 col4\" >3.23</td>\n",
+ " <td id=\"T_8a66e_row37_col5\" class=\"data row37 col5\" >1.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_8a66e_row38_col0\" class=\"data row38 col0\" >23.96</td>\n",
+ " <td id=\"T_8a66e_row38_col1\" class=\"data row38 col1\" >2.80</td>\n",
+ " <td id=\"T_8a66e_row38_col2\" class=\"data row38 col2\" >1.73</td>\n",
+ " <td id=\"T_8a66e_row38_col3\" class=\"data row38 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row38_col4\" class=\"data row38 col4\" >19.20</td>\n",
+ " <td id=\"T_8a66e_row38_col5\" class=\"data row38 col5\" >4.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_8a66e_row39_col0\" class=\"data row39 col0\" >13.58</td>\n",
+ " <td id=\"T_8a66e_row39_col1\" class=\"data row39 col1\" >2.87</td>\n",
+ " <td id=\"T_8a66e_row39_col2\" class=\"data row39 col2\" >0.98</td>\n",
+ " <td id=\"T_8a66e_row39_col3\" class=\"data row39 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row39_col4\" class=\"data row39 col4\" >2.69</td>\n",
+ " <td id=\"T_8a66e_row39_col5\" class=\"data row39 col5\" >1.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_8a66e_row40_col0\" class=\"data row40 col0\" >22.78</td>\n",
+ " <td id=\"T_8a66e_row40_col1\" class=\"data row40 col1\" >2.92</td>\n",
+ " <td id=\"T_8a66e_row40_col2\" class=\"data row40 col2\" >1.65</td>\n",
+ " <td id=\"T_8a66e_row40_col3\" class=\"data row40 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row40_col4\" class=\"data row40 col4\" >29.42</td>\n",
+ " <td id=\"T_8a66e_row40_col5\" class=\"data row40 col5\" >7.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_8a66e_row41_col0\" class=\"data row41 col0\" >24.35</td>\n",
+ " <td id=\"T_8a66e_row41_col1\" class=\"data row41 col1\" >2.93</td>\n",
+ " <td id=\"T_8a66e_row41_col2\" class=\"data row41 col2\" >1.76</td>\n",
+ " <td id=\"T_8a66e_row41_col3\" class=\"data row41 col3\" >0.21</td>\n",
+ " <td id=\"T_8a66e_row41_col4\" class=\"data row41 col4\" >21.75</td>\n",
+ " <td id=\"T_8a66e_row41_col5\" class=\"data row41 col5\" >4.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_8a66e_row42_col0\" class=\"data row42 col0\" >15.99</td>\n",
+ " <td id=\"T_8a66e_row42_col1\" class=\"data row42 col1\" >3.24</td>\n",
+ " <td id=\"T_8a66e_row42_col2\" class=\"data row42 col2\" >1.16</td>\n",
+ " <td id=\"T_8a66e_row42_col3\" class=\"data row42 col3\" >0.23</td>\n",
+ " <td id=\"T_8a66e_row42_col4\" class=\"data row42 col4\" >2.00</td>\n",
+ " <td id=\"T_8a66e_row42_col5\" class=\"data row42 col5\" >1.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_8a66e_row43_col0\" class=\"data row43 col0\" >14.44</td>\n",
+ " <td id=\"T_8a66e_row43_col1\" class=\"data row43 col1\" >3.00</td>\n",
+ " <td id=\"T_8a66e_row43_col2\" class=\"data row43 col2\" >1.04</td>\n",
+ " <td id=\"T_8a66e_row43_col3\" class=\"data row43 col3\" >0.22</td>\n",
+ " <td id=\"T_8a66e_row43_col4\" class=\"data row43 col4\" >2.50</td>\n",
+ " <td id=\"T_8a66e_row43_col5\" class=\"data row43 col5\" >1.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_8a66e_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_8a66e_row44_col0\" class=\"data row44 col0\" >11.47</td>\n",
+ " <td id=\"T_8a66e_row44_col1\" class=\"data row44 col1\" >2.70</td>\n",
+ " <td id=\"T_8a66e_row44_col2\" class=\"data row44 col2\" >0.83</td>\n",
+ " <td id=\"T_8a66e_row44_col3\" class=\"data row44 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row44_col4\" class=\"data row44 col4\" >9.05</td>\n",
+ " <td id=\"T_8a66e_row44_col5\" class=\"data row44 col5\" >3.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_8a66e_row45_col0\" class=\"data row45 col0\" >9.57</td>\n",
+ " <td id=\"T_8a66e_row45_col1\" class=\"data row45 col1\" >2.18</td>\n",
+ " <td id=\"T_8a66e_row45_col2\" class=\"data row45 col2\" >0.69</td>\n",
+ " <td id=\"T_8a66e_row45_col3\" class=\"data row45 col3\" >0.16</td>\n",
+ " <td id=\"T_8a66e_row45_col4\" class=\"data row45 col4\" >7.13</td>\n",
+ " <td id=\"T_8a66e_row45_col5\" class=\"data row45 col5\" >2.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_8a66e_row46_col0\" class=\"data row46 col0\" >8.52</td>\n",
+ " <td id=\"T_8a66e_row46_col1\" class=\"data row46 col1\" >2.29</td>\n",
+ " <td id=\"T_8a66e_row46_col2\" class=\"data row46 col2\" >0.62</td>\n",
+ " <td id=\"T_8a66e_row46_col3\" class=\"data row46 col3\" >0.17</td>\n",
+ " <td id=\"T_8a66e_row46_col4\" class=\"data row46 col4\" >4.46</td>\n",
+ " <td id=\"T_8a66e_row46_col5\" class=\"data row46 col5\" >1.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_8a66e_row47_col0\" class=\"data row47 col0\" >18.28</td>\n",
+ " <td id=\"T_8a66e_row47_col1\" class=\"data row47 col1\" >2.48</td>\n",
+ " <td id=\"T_8a66e_row47_col2\" class=\"data row47 col2\" >1.32</td>\n",
+ " <td id=\"T_8a66e_row47_col3\" class=\"data row47 col3\" >0.18</td>\n",
+ " <td id=\"T_8a66e_row47_col4\" class=\"data row47 col4\" >34.06</td>\n",
+ " <td id=\"T_8a66e_row47_col5\" class=\"data row47 col5\" >5.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_8a66e_row48_col0\" class=\"data row48 col0\" >10.63</td>\n",
+ " <td id=\"T_8a66e_row48_col1\" class=\"data row48 col1\" >2.47</td>\n",
+ " <td id=\"T_8a66e_row48_col2\" class=\"data row48 col2\" >0.77</td>\n",
+ " <td id=\"T_8a66e_row48_col3\" class=\"data row48 col3\" >0.18</td>\n",
+ " <td id=\"T_8a66e_row48_col4\" class=\"data row48 col4\" >9.75</td>\n",
+ " <td id=\"T_8a66e_row48_col5\" class=\"data row48 col5\" >3.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_8a66e_row49_col0\" class=\"data row49 col0\" >9.84</td>\n",
+ " <td id=\"T_8a66e_row49_col1\" class=\"data row49 col1\" >2.47</td>\n",
+ " <td id=\"T_8a66e_row49_col2\" class=\"data row49 col2\" >0.71</td>\n",
+ " <td id=\"T_8a66e_row49_col3\" class=\"data row49 col3\" >0.18</td>\n",
+ " <td id=\"T_8a66e_row49_col4\" class=\"data row49 col4\" >7.62</td>\n",
+ " <td id=\"T_8a66e_row49_col5\" class=\"data row49 col5\" >2.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_8a66e_row50_col0\" class=\"data row50 col0\" >19.80</td>\n",
+ " <td id=\"T_8a66e_row50_col1\" class=\"data row50 col1\" >2.65</td>\n",
+ " <td id=\"T_8a66e_row50_col2\" class=\"data row50 col2\" >1.43</td>\n",
+ " <td id=\"T_8a66e_row50_col3\" class=\"data row50 col3\" >0.19</td>\n",
+ " <td id=\"T_8a66e_row50_col4\" class=\"data row50 col4\" >29.71</td>\n",
+ " <td id=\"T_8a66e_row50_col5\" class=\"data row50 col5\" >5.77</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_8a66e_row51_col0\" class=\"data row51 col0\" >7.35</td>\n",
+ " <td id=\"T_8a66e_row51_col1\" class=\"data row51 col1\" >1.97</td>\n",
+ " <td id=\"T_8a66e_row51_col2\" class=\"data row51 col2\" >0.53</td>\n",
+ " <td id=\"T_8a66e_row51_col3\" class=\"data row51 col3\" >0.14</td>\n",
+ " <td id=\"T_8a66e_row51_col4\" class=\"data row51 col4\" >6.28</td>\n",
+ " <td id=\"T_8a66e_row51_col5\" class=\"data row51 col5\" >2.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_8a66e_row52_col0\" class=\"data row52 col0\" >10.88</td>\n",
+ " <td id=\"T_8a66e_row52_col1\" class=\"data row52 col1\" >2.35</td>\n",
+ " <td id=\"T_8a66e_row52_col2\" class=\"data row52 col2\" >0.79</td>\n",
+ " <td id=\"T_8a66e_row52_col3\" class=\"data row52 col3\" >0.17</td>\n",
+ " <td id=\"T_8a66e_row52_col4\" class=\"data row52 col4\" >9.62</td>\n",
+ " <td id=\"T_8a66e_row52_col5\" class=\"data row52 col5\" >3.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_8a66e_row53_col0\" class=\"data row53 col0\" >19.87</td>\n",
+ " <td id=\"T_8a66e_row53_col1\" class=\"data row53 col1\" >2.81</td>\n",
+ " <td id=\"T_8a66e_row53_col2\" class=\"data row53 col2\" >1.44</td>\n",
+ " <td id=\"T_8a66e_row53_col3\" class=\"data row53 col3\" >0.20</td>\n",
+ " <td id=\"T_8a66e_row53_col4\" class=\"data row53 col4\" >32.58</td>\n",
+ " <td id=\"T_8a66e_row53_col5\" class=\"data row53 col5\" >6.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_8a66e_row54_col0\" class=\"data row54 col0\" >9.59</td>\n",
+ " <td id=\"T_8a66e_row54_col1\" class=\"data row54 col1\" >2.51</td>\n",
+ " <td id=\"T_8a66e_row54_col2\" class=\"data row54 col2\" >0.69</td>\n",
+ " <td id=\"T_8a66e_row54_col3\" class=\"data row54 col3\" >0.18</td>\n",
+ " <td id=\"T_8a66e_row54_col4\" class=\"data row54 col4\" >5.33</td>\n",
+ " <td id=\"T_8a66e_row54_col5\" class=\"data row54 col5\" >1.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_8a66e_row55_col0\" class=\"data row55 col0\" >7.49</td>\n",
+ " <td id=\"T_8a66e_row55_col1\" class=\"data row55 col1\" >2.07</td>\n",
+ " <td id=\"T_8a66e_row55_col2\" class=\"data row55 col2\" >0.54</td>\n",
+ " <td id=\"T_8a66e_row55_col3\" class=\"data row55 col3\" >0.15</td>\n",
+ " <td id=\"T_8a66e_row55_col4\" class=\"data row55 col4\" >5.74</td>\n",
+ " <td id=\"T_8a66e_row55_col5\" class=\"data row55 col5\" >1.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_8a66e_row56_col0\" class=\"data row56 col0\" >19.28</td>\n",
+ " <td id=\"T_8a66e_row56_col1\" class=\"data row56 col1\" >3.04</td>\n",
+ " <td id=\"T_8a66e_row56_col2\" class=\"data row56 col2\" >1.39</td>\n",
+ " <td id=\"T_8a66e_row56_col3\" class=\"data row56 col3\" >0.22</td>\n",
+ " <td id=\"T_8a66e_row56_col4\" class=\"data row56 col4\" >36.62</td>\n",
+ " <td id=\"T_8a66e_row56_col5\" class=\"data row56 col5\" >8.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_8a66e_row57_col0\" class=\"data row57 col0\" >9.89</td>\n",
+ " <td id=\"T_8a66e_row57_col1\" class=\"data row57 col1\" >2.13</td>\n",
+ " <td id=\"T_8a66e_row57_col2\" class=\"data row57 col2\" >0.72</td>\n",
+ " <td id=\"T_8a66e_row57_col3\" class=\"data row57 col3\" >0.15</td>\n",
+ " <td id=\"T_8a66e_row57_col4\" class=\"data row57 col4\" >6.65</td>\n",
+ " <td id=\"T_8a66e_row57_col5\" class=\"data row57 col5\" >2.68</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_8a66e_row58_col0\" class=\"data row58 col0\" >8.92</td>\n",
+ " <td id=\"T_8a66e_row58_col1\" class=\"data row58 col1\" >2.20</td>\n",
+ " <td id=\"T_8a66e_row58_col2\" class=\"data row58 col2\" >0.65</td>\n",
+ " <td id=\"T_8a66e_row58_col3\" class=\"data row58 col3\" >0.16</td>\n",
+ " <td id=\"T_8a66e_row58_col4\" class=\"data row58 col4\" >5.81</td>\n",
+ " <td id=\"T_8a66e_row58_col5\" class=\"data row58 col5\" >1.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_8a66e_row59_col0\" class=\"data row59 col0\" >7.55</td>\n",
+ " <td id=\"T_8a66e_row59_col1\" class=\"data row59 col1\" >2.08</td>\n",
+ " <td id=\"T_8a66e_row59_col2\" class=\"data row59 col2\" >0.55</td>\n",
+ " <td id=\"T_8a66e_row59_col3\" class=\"data row59 col3\" >0.15</td>\n",
+ " <td id=\"T_8a66e_row59_col4\" class=\"data row59 col4\" >6.16</td>\n",
+ " <td id=\"T_8a66e_row59_col5\" class=\"data row59 col5\" >2.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_8a66e_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_8a66e_row60_col0\" class=\"data row60 col0\" >6.41</td>\n",
+ " <td id=\"T_8a66e_row60_col1\" class=\"data row60 col1\" >2.19</td>\n",
+ " <td id=\"T_8a66e_row60_col2\" class=\"data row60 col2\" >0.46</td>\n",
+ " <td id=\"T_8a66e_row60_col3\" class=\"data row60 col3\" >0.16</td>\n",
+ " <td id=\"T_8a66e_row60_col4\" class=\"data row60 col4\" >18.14</td>\n",
+ " <td id=\"T_8a66e_row60_col5\" class=\"data row60 col5\" >5.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_8a66e_row61_col0\" class=\"data row61 col0\" >5.67</td>\n",
+ " <td id=\"T_8a66e_row61_col1\" class=\"data row61 col1\" >1.52</td>\n",
+ " <td id=\"T_8a66e_row61_col2\" class=\"data row61 col2\" >0.41</td>\n",
+ " <td id=\"T_8a66e_row61_col3\" class=\"data row61 col3\" >0.11</td>\n",
+ " <td id=\"T_8a66e_row61_col4\" class=\"data row61 col4\" >13.17</td>\n",
+ " <td id=\"T_8a66e_row61_col5\" class=\"data row61 col5\" >3.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_8a66e_row62_col0\" class=\"data row62 col0\" >5.29</td>\n",
+ " <td id=\"T_8a66e_row62_col1\" class=\"data row62 col1\" >1.65</td>\n",
+ " <td id=\"T_8a66e_row62_col2\" class=\"data row62 col2\" >0.38</td>\n",
+ " <td id=\"T_8a66e_row62_col3\" class=\"data row62 col3\" >0.12</td>\n",
+ " <td id=\"T_8a66e_row62_col4\" class=\"data row62 col4\" >8.94</td>\n",
+ " <td id=\"T_8a66e_row62_col5\" class=\"data row62 col5\" >3.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_8a66e_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_8a66e_row63_col0\" class=\"data row63 col0\" >3.83</td>\n",
+ " <td id=\"T_8a66e_row63_col1\" class=\"data row63 col1\" >1.30</td>\n",
+ " <td id=\"T_8a66e_row63_col2\" class=\"data row63 col2\" >0.28</td>\n",
+ " <td id=\"T_8a66e_row63_col3\" class=\"data row63 col3\" >0.09</td>\n",
+ " <td id=\"T_8a66e_row63_col4\" class=\"data row63 col4\" >11.30</td>\n",
+ " <td id=\"T_8a66e_row63_col5\" class=\"data row63 col5\" >3.21</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0f0a9d0>"
+ "<pandas.io.formats.style.Styler at 0x76062f984c50>"
]
},
"metadata": {},
@@ -4838,287 +4832,287 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_766ec td {\n",
+ "#T_985a8 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_766ec th {\n",
+ "#T_985a8 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_766ec_row0_col0, #T_766ec_row0_col2 {\n",
+ "#T_985a8_row0_col0, #T_985a8_row0_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row0_col4, #T_766ec_row15_col4 {\n",
+ "#T_985a8_row0_col4, #T_985a8_row15_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row1_col0, #T_766ec_row1_col2 {\n",
+ "#T_985a8_row1_col0, #T_985a8_row1_col2 {\n",
" background-color: #41fe41;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row1_col4, #T_766ec_row10_col4 {\n",
+ "#T_985a8_row1_col4, #T_985a8_row10_col4 {\n",
" background-color: #fb4747;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row2_col0, #T_766ec_row2_col2, #T_766ec_row3_col0, #T_766ec_row3_col2, #T_766ec_row4_col0, #T_766ec_row4_col2 {\n",
+ "#T_985a8_row2_col0, #T_985a8_row2_col2, #T_985a8_row3_col0, #T_985a8_row3_col2, #T_985a8_row4_col0, #T_985a8_row4_col2 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row2_col4 {\n",
+ "#T_985a8_row2_col4 {\n",
" background-color: #fb4848;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row3_col4 {\n",
+ "#T_985a8_row3_col4 {\n",
" background-color: #fe1818;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row4_col4 {\n",
+ "#T_985a8_row4_col4 {\n",
" background-color: #f96d6d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row5_col0, #T_766ec_row5_col2 {\n",
+ "#T_985a8_row5_col0, #T_985a8_row5_col2 {\n",
" background-color: #7cfa7c;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row5_col4 {\n",
+ "#T_985a8_row5_col4 {\n",
" background-color: #fc3c3c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row6_col0, #T_766ec_row6_col2 {\n",
+ "#T_985a8_row6_col0, #T_985a8_row6_col2 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row6_col4 {\n",
+ "#T_985a8_row6_col4 {\n",
" background-color: #fd2d2d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row7_col0, #T_766ec_row7_col2 {\n",
+ "#T_985a8_row7_col0, #T_985a8_row7_col2 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row7_col4 {\n",
+ "#T_985a8_row7_col4 {\n",
" background-color: #f96f6f;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row8_col0, #T_766ec_row8_col2, #T_766ec_row9_col0, #T_766ec_row9_col2 {\n",
+ "#T_985a8_row8_col0, #T_985a8_row8_col2, #T_985a8_row9_col0, #T_985a8_row9_col2 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row8_col4 {\n",
+ "#T_985a8_row8_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row9_col4 {\n",
+ "#T_985a8_row9_col4 {\n",
" background-color: #fc4343;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row10_col0, #T_766ec_row10_col2 {\n",
+ "#T_985a8_row10_col0, #T_985a8_row10_col2 {\n",
" background-color: #82fa82;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row11_col0, #T_766ec_row11_col2, #T_766ec_row13_col0, #T_766ec_row13_col2 {\n",
+ "#T_985a8_row11_col0, #T_985a8_row11_col2, #T_985a8_row13_col0, #T_985a8_row13_col2 {\n",
" background-color: #b9f6b9;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row11_col4 {\n",
+ "#T_985a8_row11_col4 {\n",
" background-color: #f96e6e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row12_col0, #T_766ec_row12_col2 {\n",
+ "#T_985a8_row12_col0, #T_985a8_row12_col2 {\n",
" background-color: #baf6ba;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row12_col4 {\n",
+ "#T_985a8_row12_col4 {\n",
" background-color: #f7a6a6;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row13_col4 {\n",
+ "#T_985a8_row13_col4 {\n",
" background-color: #f6aaaa;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row14_col0, #T_766ec_row14_col2 {\n",
+ "#T_985a8_row14_col0, #T_985a8_row14_col2 {\n",
" background-color: #bdf6bd;\n",
" color: #000000;\n",
"}\n",
- "#T_766ec_row14_col4 {\n",
+ "#T_985a8_row14_col4 {\n",
" background-color: #fb5858;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_766ec_row15_col0, #T_766ec_row15_col2 {\n",
+ "#T_985a8_row15_col0, #T_985a8_row15_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_766ec\">\n",
+ "<table id=\"T_985a8\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_766ec_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
- " <th id=\"T_766ec_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
- " <th id=\"T_766ec_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " <th id=\"T_985a8_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_985a8_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_985a8_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_766ec_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
- " <th id=\"T_766ec_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
- " <th id=\"T_766ec_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
- " <th id=\"T_766ec_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
- " <th id=\"T_766ec_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
- " <th id=\"T_766ec_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " <th id=\"T_985a8_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_985a8_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_985a8_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_985a8_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_985a8_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_985a8_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_766ec_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_766ec_row0_col0\" class=\"data row0 col0\" >119.77</td>\n",
- " <td id=\"T_766ec_row0_col1\" class=\"data row0 col1\" >5.54</td>\n",
- " <td id=\"T_766ec_row0_col2\" class=\"data row0 col2\" >2.17</td>\n",
- " <td id=\"T_766ec_row0_col3\" class=\"data row0 col3\" >0.10</td>\n",
- " <td id=\"T_766ec_row0_col4\" class=\"data row0 col4\" >12.89</td>\n",
- " <td id=\"T_766ec_row0_col5\" class=\"data row0 col5\" >2.48</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_766ec_row1_col0\" class=\"data row1 col0\" >112.76</td>\n",
- " <td id=\"T_766ec_row1_col1\" class=\"data row1 col1\" >5.28</td>\n",
- " <td id=\"T_766ec_row1_col2\" class=\"data row1 col2\" >2.04</td>\n",
- " <td id=\"T_766ec_row1_col3\" class=\"data row1 col3\" >0.10</td>\n",
- " <td id=\"T_766ec_row1_col4\" class=\"data row1 col4\" >13.92</td>\n",
- " <td id=\"T_766ec_row1_col5\" class=\"data row1 col5\" >2.40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_766ec_row2_col0\" class=\"data row2 col0\" >112.45</td>\n",
- " <td id=\"T_766ec_row2_col1\" class=\"data row2 col1\" >5.23</td>\n",
- " <td id=\"T_766ec_row2_col2\" class=\"data row2 col2\" >2.03</td>\n",
- " <td id=\"T_766ec_row2_col3\" class=\"data row2 col3\" >0.09</td>\n",
- " <td id=\"T_766ec_row2_col4\" class=\"data row2 col4\" >13.91</td>\n",
- " <td id=\"T_766ec_row2_col5\" class=\"data row2 col5\" >2.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_766ec_row3_col0\" class=\"data row3 col0\" >112.25</td>\n",
- " <td id=\"T_766ec_row3_col1\" class=\"data row3 col1\" >5.51</td>\n",
- " <td id=\"T_766ec_row3_col2\" class=\"data row3 col2\" >2.03</td>\n",
- " <td id=\"T_766ec_row3_col3\" class=\"data row3 col3\" >0.10</td>\n",
- " <td id=\"T_766ec_row3_col4\" class=\"data row3 col4\" >14.20</td>\n",
- " <td id=\"T_766ec_row3_col5\" class=\"data row3 col5\" >2.60</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_766ec_row4_col0\" class=\"data row4 col0\" >112.31</td>\n",
- " <td id=\"T_766ec_row4_col1\" class=\"data row4 col1\" >5.29</td>\n",
- " <td id=\"T_766ec_row4_col2\" class=\"data row4 col2\" >2.03</td>\n",
- " <td id=\"T_766ec_row4_col3\" class=\"data row4 col3\" >0.10</td>\n",
- " <td id=\"T_766ec_row4_col4\" class=\"data row4 col4\" >13.69</td>\n",
- " <td id=\"T_766ec_row4_col5\" class=\"data row4 col5\" >2.55</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_766ec_row5_col0\" class=\"data row5 col0\" >80.97</td>\n",
- " <td id=\"T_766ec_row5_col1\" class=\"data row5 col1\" >5.58</td>\n",
- " <td id=\"T_766ec_row5_col2\" class=\"data row5 col2\" >1.46</td>\n",
- " <td id=\"T_766ec_row5_col3\" class=\"data row5 col3\" >0.10</td>\n",
- " <td id=\"T_766ec_row5_col4\" class=\"data row5 col4\" >13.98</td>\n",
- " <td id=\"T_766ec_row5_col5\" class=\"data row5 col5\" >2.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_766ec_row6_col0\" class=\"data row6 col0\" >81.96</td>\n",
- " <td id=\"T_766ec_row6_col1\" class=\"data row6 col1\" >4.40</td>\n",
- " <td id=\"T_766ec_row6_col2\" class=\"data row6 col2\" >1.48</td>\n",
- " <td id=\"T_766ec_row6_col3\" class=\"data row6 col3\" >0.08</td>\n",
- " <td id=\"T_766ec_row6_col4\" class=\"data row6 col4\" >14.07</td>\n",
- " <td id=\"T_766ec_row6_col5\" class=\"data row6 col5\" >2.36</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_766ec_row7_col0\" class=\"data row7 col0\" >79.39</td>\n",
- " <td id=\"T_766ec_row7_col1\" class=\"data row7 col1\" >5.13</td>\n",
- " <td id=\"T_766ec_row7_col2\" class=\"data row7 col2\" >1.44</td>\n",
- " <td id=\"T_766ec_row7_col3\" class=\"data row7 col3\" >0.09</td>\n",
- " <td id=\"T_766ec_row7_col4\" class=\"data row7 col4\" >13.67</td>\n",
- " <td id=\"T_766ec_row7_col5\" class=\"data row7 col5\" >2.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_766ec_row8_col0\" class=\"data row8 col0\" >77.04</td>\n",
- " <td id=\"T_766ec_row8_col1\" class=\"data row8 col1\" >4.92</td>\n",
- " <td id=\"T_766ec_row8_col2\" class=\"data row8 col2\" >1.39</td>\n",
- " <td id=\"T_766ec_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
- " <td id=\"T_766ec_row8_col4\" class=\"data row8 col4\" >14.35</td>\n",
- " <td id=\"T_766ec_row8_col5\" class=\"data row8 col5\" >2.70</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_766ec_row9_col0\" class=\"data row9 col0\" >76.81</td>\n",
- " <td id=\"T_766ec_row9_col1\" class=\"data row9 col1\" >4.37</td>\n",
- " <td id=\"T_766ec_row9_col2\" class=\"data row9 col2\" >1.39</td>\n",
- " <td id=\"T_766ec_row9_col3\" class=\"data row9 col3\" >0.08</td>\n",
- " <td id=\"T_766ec_row9_col4\" class=\"data row9 col4\" >13.94</td>\n",
- " <td id=\"T_766ec_row9_col5\" class=\"data row9 col5\" >2.61</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_766ec_row10_col0\" class=\"data row10 col0\" >77.56</td>\n",
- " <td id=\"T_766ec_row10_col1\" class=\"data row10 col1\" >4.86</td>\n",
- " <td id=\"T_766ec_row10_col2\" class=\"data row10 col2\" >1.40</td>\n",
- " <td id=\"T_766ec_row10_col3\" class=\"data row10 col3\" >0.09</td>\n",
- " <td id=\"T_766ec_row10_col4\" class=\"data row10 col4\" >13.92</td>\n",
- " <td id=\"T_766ec_row10_col5\" class=\"data row10 col5\" >2.45</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_766ec_row11_col0\" class=\"data row11 col0\" >47.85</td>\n",
- " <td id=\"T_766ec_row11_col1\" class=\"data row11 col1\" >4.19</td>\n",
- " <td id=\"T_766ec_row11_col2\" class=\"data row11 col2\" >0.87</td>\n",
- " <td id=\"T_766ec_row11_col3\" class=\"data row11 col3\" >0.08</td>\n",
- " <td id=\"T_766ec_row11_col4\" class=\"data row11 col4\" >13.68</td>\n",
- " <td id=\"T_766ec_row11_col5\" class=\"data row11 col5\" >2.44</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_766ec_row12_col0\" class=\"data row12 col0\" >47.61</td>\n",
- " <td id=\"T_766ec_row12_col1\" class=\"data row12 col1\" >4.56</td>\n",
- " <td id=\"T_766ec_row12_col2\" class=\"data row12 col2\" >0.86</td>\n",
- " <td id=\"T_766ec_row12_col3\" class=\"data row12 col3\" >0.08</td>\n",
- " <td id=\"T_766ec_row12_col4\" class=\"data row12 col4\" >13.34</td>\n",
- " <td id=\"T_766ec_row12_col5\" class=\"data row12 col5\" >2.48</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_766ec_row13_col0\" class=\"data row13 col0\" >47.83</td>\n",
- " <td id=\"T_766ec_row13_col1\" class=\"data row13 col1\" >4.08</td>\n",
- " <td id=\"T_766ec_row13_col2\" class=\"data row13 col2\" >0.86</td>\n",
- " <td id=\"T_766ec_row13_col3\" class=\"data row13 col3\" >0.07</td>\n",
- " <td id=\"T_766ec_row13_col4\" class=\"data row13 col4\" >13.32</td>\n",
- " <td id=\"T_766ec_row13_col5\" class=\"data row13 col5\" >2.36</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_766ec_row14_col0\" class=\"data row14 col0\" >45.64</td>\n",
- " <td id=\"T_766ec_row14_col1\" class=\"data row14 col1\" >3.87</td>\n",
- " <td id=\"T_766ec_row14_col2\" class=\"data row14 col2\" >0.83</td>\n",
- " <td id=\"T_766ec_row14_col3\" class=\"data row14 col3\" >0.07</td>\n",
- " <td id=\"T_766ec_row14_col4\" class=\"data row14 col4\" >13.81</td>\n",
- " <td id=\"T_766ec_row14_col5\" class=\"data row14 col5\" >2.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_766ec_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_766ec_row15_col0\" class=\"data row15 col0\" >21.21</td>\n",
- " <td id=\"T_766ec_row15_col1\" class=\"data row15 col1\" >2.69</td>\n",
- " <td id=\"T_766ec_row15_col2\" class=\"data row15 col2\" >0.38</td>\n",
- " <td id=\"T_766ec_row15_col3\" class=\"data row15 col3\" >0.05</td>\n",
- " <td id=\"T_766ec_row15_col4\" class=\"data row15 col4\" >12.89</td>\n",
- " <td id=\"T_766ec_row15_col5\" class=\"data row15 col5\" >2.48</td>\n",
+ " <th id=\"T_985a8_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_985a8_row0_col0\" class=\"data row0 col0\" >119.77</td>\n",
+ " <td id=\"T_985a8_row0_col1\" class=\"data row0 col1\" >5.54</td>\n",
+ " <td id=\"T_985a8_row0_col2\" class=\"data row0 col2\" >2.17</td>\n",
+ " <td id=\"T_985a8_row0_col3\" class=\"data row0 col3\" >0.10</td>\n",
+ " <td id=\"T_985a8_row0_col4\" class=\"data row0 col4\" >12.89</td>\n",
+ " <td id=\"T_985a8_row0_col5\" class=\"data row0 col5\" >2.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_985a8_row1_col0\" class=\"data row1 col0\" >112.76</td>\n",
+ " <td id=\"T_985a8_row1_col1\" class=\"data row1 col1\" >5.28</td>\n",
+ " <td id=\"T_985a8_row1_col2\" class=\"data row1 col2\" >2.04</td>\n",
+ " <td id=\"T_985a8_row1_col3\" class=\"data row1 col3\" >0.10</td>\n",
+ " <td id=\"T_985a8_row1_col4\" class=\"data row1 col4\" >13.92</td>\n",
+ " <td id=\"T_985a8_row1_col5\" class=\"data row1 col5\" >2.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_985a8_row2_col0\" class=\"data row2 col0\" >112.45</td>\n",
+ " <td id=\"T_985a8_row2_col1\" class=\"data row2 col1\" >5.23</td>\n",
+ " <td id=\"T_985a8_row2_col2\" class=\"data row2 col2\" >2.03</td>\n",
+ " <td id=\"T_985a8_row2_col3\" class=\"data row2 col3\" >0.09</td>\n",
+ " <td id=\"T_985a8_row2_col4\" class=\"data row2 col4\" >13.91</td>\n",
+ " <td id=\"T_985a8_row2_col5\" class=\"data row2 col5\" >2.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_985a8_row3_col0\" class=\"data row3 col0\" >112.25</td>\n",
+ " <td id=\"T_985a8_row3_col1\" class=\"data row3 col1\" >5.51</td>\n",
+ " <td id=\"T_985a8_row3_col2\" class=\"data row3 col2\" >2.03</td>\n",
+ " <td id=\"T_985a8_row3_col3\" class=\"data row3 col3\" >0.10</td>\n",
+ " <td id=\"T_985a8_row3_col4\" class=\"data row3 col4\" >14.20</td>\n",
+ " <td id=\"T_985a8_row3_col5\" class=\"data row3 col5\" >2.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_985a8_row4_col0\" class=\"data row4 col0\" >112.31</td>\n",
+ " <td id=\"T_985a8_row4_col1\" class=\"data row4 col1\" >5.29</td>\n",
+ " <td id=\"T_985a8_row4_col2\" class=\"data row4 col2\" >2.03</td>\n",
+ " <td id=\"T_985a8_row4_col3\" class=\"data row4 col3\" >0.10</td>\n",
+ " <td id=\"T_985a8_row4_col4\" class=\"data row4 col4\" >13.69</td>\n",
+ " <td id=\"T_985a8_row4_col5\" class=\"data row4 col5\" >2.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_985a8_row5_col0\" class=\"data row5 col0\" >80.97</td>\n",
+ " <td id=\"T_985a8_row5_col1\" class=\"data row5 col1\" >5.58</td>\n",
+ " <td id=\"T_985a8_row5_col2\" class=\"data row5 col2\" >1.46</td>\n",
+ " <td id=\"T_985a8_row5_col3\" class=\"data row5 col3\" >0.10</td>\n",
+ " <td id=\"T_985a8_row5_col4\" class=\"data row5 col4\" >13.98</td>\n",
+ " <td id=\"T_985a8_row5_col5\" class=\"data row5 col5\" >2.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_985a8_row6_col0\" class=\"data row6 col0\" >81.96</td>\n",
+ " <td id=\"T_985a8_row6_col1\" class=\"data row6 col1\" >4.40</td>\n",
+ " <td id=\"T_985a8_row6_col2\" class=\"data row6 col2\" >1.48</td>\n",
+ " <td id=\"T_985a8_row6_col3\" class=\"data row6 col3\" >0.08</td>\n",
+ " <td id=\"T_985a8_row6_col4\" class=\"data row6 col4\" >14.07</td>\n",
+ " <td id=\"T_985a8_row6_col5\" class=\"data row6 col5\" >2.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_985a8_row7_col0\" class=\"data row7 col0\" >79.39</td>\n",
+ " <td id=\"T_985a8_row7_col1\" class=\"data row7 col1\" >5.13</td>\n",
+ " <td id=\"T_985a8_row7_col2\" class=\"data row7 col2\" >1.44</td>\n",
+ " <td id=\"T_985a8_row7_col3\" class=\"data row7 col3\" >0.09</td>\n",
+ " <td id=\"T_985a8_row7_col4\" class=\"data row7 col4\" >13.67</td>\n",
+ " <td id=\"T_985a8_row7_col5\" class=\"data row7 col5\" >2.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_985a8_row8_col0\" class=\"data row8 col0\" >77.04</td>\n",
+ " <td id=\"T_985a8_row8_col1\" class=\"data row8 col1\" >4.92</td>\n",
+ " <td id=\"T_985a8_row8_col2\" class=\"data row8 col2\" >1.39</td>\n",
+ " <td id=\"T_985a8_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
+ " <td id=\"T_985a8_row8_col4\" class=\"data row8 col4\" >14.35</td>\n",
+ " <td id=\"T_985a8_row8_col5\" class=\"data row8 col5\" >2.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_985a8_row9_col0\" class=\"data row9 col0\" >76.81</td>\n",
+ " <td id=\"T_985a8_row9_col1\" class=\"data row9 col1\" >4.37</td>\n",
+ " <td id=\"T_985a8_row9_col2\" class=\"data row9 col2\" >1.39</td>\n",
+ " <td id=\"T_985a8_row9_col3\" class=\"data row9 col3\" >0.08</td>\n",
+ " <td id=\"T_985a8_row9_col4\" class=\"data row9 col4\" >13.94</td>\n",
+ " <td id=\"T_985a8_row9_col5\" class=\"data row9 col5\" >2.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_985a8_row10_col0\" class=\"data row10 col0\" >77.56</td>\n",
+ " <td id=\"T_985a8_row10_col1\" class=\"data row10 col1\" >4.86</td>\n",
+ " <td id=\"T_985a8_row10_col2\" class=\"data row10 col2\" >1.40</td>\n",
+ " <td id=\"T_985a8_row10_col3\" class=\"data row10 col3\" >0.09</td>\n",
+ " <td id=\"T_985a8_row10_col4\" class=\"data row10 col4\" >13.92</td>\n",
+ " <td id=\"T_985a8_row10_col5\" class=\"data row10 col5\" >2.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_985a8_row11_col0\" class=\"data row11 col0\" >47.85</td>\n",
+ " <td id=\"T_985a8_row11_col1\" class=\"data row11 col1\" >4.19</td>\n",
+ " <td id=\"T_985a8_row11_col2\" class=\"data row11 col2\" >0.87</td>\n",
+ " <td id=\"T_985a8_row11_col3\" class=\"data row11 col3\" >0.08</td>\n",
+ " <td id=\"T_985a8_row11_col4\" class=\"data row11 col4\" >13.68</td>\n",
+ " <td id=\"T_985a8_row11_col5\" class=\"data row11 col5\" >2.44</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_985a8_row12_col0\" class=\"data row12 col0\" >47.61</td>\n",
+ " <td id=\"T_985a8_row12_col1\" class=\"data row12 col1\" >4.56</td>\n",
+ " <td id=\"T_985a8_row12_col2\" class=\"data row12 col2\" >0.86</td>\n",
+ " <td id=\"T_985a8_row12_col3\" class=\"data row12 col3\" >0.08</td>\n",
+ " <td id=\"T_985a8_row12_col4\" class=\"data row12 col4\" >13.34</td>\n",
+ " <td id=\"T_985a8_row12_col5\" class=\"data row12 col5\" >2.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_985a8_row13_col0\" class=\"data row13 col0\" >47.83</td>\n",
+ " <td id=\"T_985a8_row13_col1\" class=\"data row13 col1\" >4.08</td>\n",
+ " <td id=\"T_985a8_row13_col2\" class=\"data row13 col2\" >0.86</td>\n",
+ " <td id=\"T_985a8_row13_col3\" class=\"data row13 col3\" >0.07</td>\n",
+ " <td id=\"T_985a8_row13_col4\" class=\"data row13 col4\" >13.32</td>\n",
+ " <td id=\"T_985a8_row13_col5\" class=\"data row13 col5\" >2.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_985a8_row14_col0\" class=\"data row14 col0\" >45.64</td>\n",
+ " <td id=\"T_985a8_row14_col1\" class=\"data row14 col1\" >3.87</td>\n",
+ " <td id=\"T_985a8_row14_col2\" class=\"data row14 col2\" >0.83</td>\n",
+ " <td id=\"T_985a8_row14_col3\" class=\"data row14 col3\" >0.07</td>\n",
+ " <td id=\"T_985a8_row14_col4\" class=\"data row14 col4\" >13.81</td>\n",
+ " <td id=\"T_985a8_row14_col5\" class=\"data row14 col5\" >2.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_985a8_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_985a8_row15_col0\" class=\"data row15 col0\" >21.21</td>\n",
+ " <td id=\"T_985a8_row15_col1\" class=\"data row15 col1\" >2.69</td>\n",
+ " <td id=\"T_985a8_row15_col2\" class=\"data row15 col2\" >0.38</td>\n",
+ " <td id=\"T_985a8_row15_col3\" class=\"data row15 col3\" >0.05</td>\n",
+ " <td id=\"T_985a8_row15_col4\" class=\"data row15 col4\" >12.89</td>\n",
+ " <td id=\"T_985a8_row15_col5\" class=\"data row15 col5\" >2.48</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a32943d0>"
+ "<pandas.io.formats.style.Styler at 0x76062faa3bd0>"
]
},
"metadata": {},
@@ -5138,7 +5132,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -5158,830 +5152,830 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_26666 td {\n",
+ "#T_9337e td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_26666 th {\n",
+ "#T_9337e th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_26666_row0_col0, #T_26666_row60_col0 {\n",
+ "#T_9337e_row0_col0, #T_9337e_row60_col0 {\n",
" background-color: #aaf7aa;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row0_col2, #T_26666_row60_col2 {\n",
+ "#T_9337e_row0_col2, #T_9337e_row60_col2 {\n",
" background-color: #8df98d;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row1_col0, #T_26666_row5_col2, #T_26666_row61_col0 {\n",
+ "#T_9337e_row1_col0, #T_9337e_row5_col2, #T_9337e_row61_col0 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row1_col2, #T_26666_row51_col0, #T_26666_row61_col2 {\n",
+ "#T_9337e_row1_col2, #T_9337e_row51_col0, #T_9337e_row61_col2 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row2_col0, #T_26666_row48_col0, #T_26666_row52_col0, #T_26666_row62_col0 {\n",
+ "#T_9337e_row2_col0, #T_9337e_row48_col0, #T_9337e_row52_col0, #T_9337e_row62_col0 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row2_col2, #T_26666_row18_col2, #T_26666_row62_col2 {\n",
+ "#T_9337e_row2_col2, #T_9337e_row18_col2, #T_9337e_row62_col2 {\n",
" background-color: #70fb70;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row3_col0, #T_26666_row63_col0 {\n",
+ "#T_9337e_row3_col0, #T_9337e_row63_col0 {\n",
" background-color: #93f993;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row3_col2, #T_26666_row45_col0, #T_26666_row54_col0, #T_26666_row63_col2 {\n",
+ "#T_9337e_row3_col2, #T_9337e_row45_col0, #T_9337e_row54_col0, #T_9337e_row63_col2 {\n",
" background-color: #79fa79;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row4_col0, #T_26666_row20_col2 {\n",
+ "#T_9337e_row4_col0, #T_9337e_row20_col2 {\n",
" background-color: #37ff37;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row4_col2 {\n",
+ "#T_9337e_row4_col2 {\n",
" background-color: #3bff3b;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row5_col0 {\n",
+ "#T_9337e_row5_col0 {\n",
" background-color: #b8f6b8;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row6_col0, #T_26666_row27_col2 {\n",
+ "#T_9337e_row6_col0, #T_9337e_row27_col2 {\n",
" background-color: #b6f6b6;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row6_col2 {\n",
+ "#T_9337e_row6_col2 {\n",
" background-color: #87fa87;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row7_col0 {\n",
+ "#T_9337e_row7_col0 {\n",
" background-color: #b9f6b9;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row7_col2 {\n",
+ "#T_9337e_row7_col2 {\n",
" background-color: #98f898;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row8_col0, #T_26666_row16_col0, #T_26666_row36_col2, #T_26666_row40_col2 {\n",
+ "#T_9337e_row8_col0, #T_9337e_row16_col0, #T_9337e_row36_col2, #T_9337e_row40_col2 {\n",
" background-color: #c6f5c6;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row8_col2 {\n",
+ "#T_9337e_row8_col2 {\n",
" background-color: #a1f8a1;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row9_col0, #T_26666_row28_col2 {\n",
+ "#T_9337e_row9_col0, #T_9337e_row28_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row9_col2, #T_26666_row58_col2 {\n",
+ "#T_9337e_row9_col2, #T_9337e_row58_col2 {\n",
" background-color: #53fd53;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row10_col0, #T_26666_row11_col0, #T_26666_row13_col0, #T_26666_row29_col2 {\n",
+ "#T_9337e_row10_col0, #T_9337e_row11_col0, #T_9337e_row13_col0, #T_9337e_row29_col2 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row10_col2, #T_26666_row49_col0 {\n",
+ "#T_9337e_row10_col2, #T_9337e_row49_col0 {\n",
" background-color: #76fb76;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row11_col2 {\n",
+ "#T_9337e_row11_col2 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row12_col0 {\n",
+ "#T_9337e_row12_col0 {\n",
" background-color: #c5f5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row12_col2 {\n",
+ "#T_9337e_row12_col2 {\n",
" background-color: #9bf89b;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row13_col2, #T_26666_row46_col0, #T_26666_row55_col0 {\n",
+ "#T_9337e_row13_col2, #T_9337e_row46_col0, #T_9337e_row55_col0 {\n",
" background-color: #73fb73;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row14_col0, #T_26666_row24_col2 {\n",
+ "#T_9337e_row14_col0, #T_9337e_row24_col2 {\n",
" background-color: #35ff35;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row14_col2 {\n",
+ "#T_9337e_row14_col2 {\n",
" background-color: #5efc5e;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row15_col0, #T_26666_row17_col0 {\n",
+ "#T_9337e_row15_col0, #T_9337e_row17_col0 {\n",
" background-color: #b1f7b1;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row15_col2 {\n",
+ "#T_9337e_row15_col2 {\n",
" background-color: #81fa81;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row16_col2 {\n",
+ "#T_9337e_row16_col2 {\n",
" background-color: #9ff89f;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row17_col2 {\n",
+ "#T_9337e_row17_col2 {\n",
" background-color: #78fb78;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row18_col0 {\n",
+ "#T_9337e_row18_col0 {\n",
" background-color: #b0f7b0;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row19_col0 {\n",
+ "#T_9337e_row19_col0 {\n",
" background-color: #38ff38;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row19_col2 {\n",
+ "#T_9337e_row19_col2 {\n",
" background-color: #65fc65;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row20_col0, #T_26666_row28_col0 {\n",
+ "#T_9337e_row20_col0, #T_9337e_row28_col0 {\n",
" background-color: #6afb6a;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row21_col0, #T_26666_row45_col2 {\n",
+ "#T_9337e_row21_col0, #T_9337e_row45_col2 {\n",
" background-color: #52fd52;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row21_col2 {\n",
+ "#T_9337e_row21_col2 {\n",
" background-color: #50fd50;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row22_col0, #T_26666_row25_col0 {\n",
+ "#T_9337e_row22_col0, #T_9337e_row25_col0 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row22_col2 {\n",
+ "#T_9337e_row22_col2 {\n",
" background-color: #abf7ab;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row23_col0, #T_26666_row27_col0 {\n",
+ "#T_9337e_row23_col0, #T_9337e_row27_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row23_col2 {\n",
+ "#T_9337e_row23_col2 {\n",
" background-color: #bbf6bb;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row24_col0, #T_26666_row51_col2 {\n",
+ "#T_9337e_row24_col0, #T_9337e_row51_col2 {\n",
" background-color: #67fc67;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row25_col2 {\n",
+ "#T_9337e_row25_col2 {\n",
" background-color: #b2f7b2;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row26_col0, #T_26666_row54_col2, #T_26666_row57_col2 {\n",
+ "#T_9337e_row26_col0, #T_9337e_row54_col2, #T_9337e_row57_col2 {\n",
" background-color: #54fd54;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row26_col2 {\n",
+ "#T_9337e_row26_col2 {\n",
" background-color: #4efd4e;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row29_col0, #T_26666_row30_col0 {\n",
+ "#T_9337e_row29_col0, #T_9337e_row30_col0 {\n",
" background-color: #cdf5cd;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row30_col2 {\n",
+ "#T_9337e_row30_col2 {\n",
" background-color: #a9f7a9;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row31_col0, #T_26666_row34_col0, #T_26666_row42_col0, #T_26666_row44_col2 {\n",
+ "#T_9337e_row31_col0, #T_9337e_row34_col0, #T_9337e_row42_col0, #T_9337e_row44_col2 {\n",
" background-color: #5bfc5b;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row31_col2, #T_26666_row43_col0, #T_26666_row52_col2 {\n",
+ "#T_9337e_row31_col2, #T_9337e_row43_col0, #T_9337e_row52_col2 {\n",
" background-color: #5afc5a;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row32_col0 {\n",
+ "#T_9337e_row32_col0 {\n",
" background-color: #dcf4db;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row32_col2 {\n",
+ "#T_9337e_row32_col2 {\n",
" background-color: #bff6bf;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row33_col0, #T_26666_row46_col2 {\n",
+ "#T_9337e_row33_col0, #T_9337e_row46_col2 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row33_col2 {\n",
+ "#T_9337e_row33_col2 {\n",
" background-color: #39ff39;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row34_col2 {\n",
+ "#T_9337e_row34_col2 {\n",
" background-color: #4afe4a;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row35_col0 {\n",
+ "#T_9337e_row35_col0 {\n",
" background-color: #cff5cf;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row35_col2 {\n",
+ "#T_9337e_row35_col2 {\n",
" background-color: #acf7ac;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row36_col0 {\n",
+ "#T_9337e_row36_col0 {\n",
" background-color: #dbf4db;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row37_col0, #T_26666_row59_col2 {\n",
+ "#T_9337e_row37_col0, #T_9337e_row59_col2 {\n",
" background-color: #5cfc5c;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row37_col2 {\n",
+ "#T_9337e_row37_col2 {\n",
" background-color: #3aff3a;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row38_col0 {\n",
+ "#T_9337e_row38_col0 {\n",
" background-color: #ccf5cc;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row38_col2 {\n",
+ "#T_9337e_row38_col2 {\n",
" background-color: #a0f8a0;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row39_col0 {\n",
+ "#T_9337e_row39_col0 {\n",
" background-color: #5dfc5d;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row39_col2 {\n",
+ "#T_9337e_row39_col2 {\n",
" background-color: #4dfd4d;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row40_col0 {\n",
+ "#T_9337e_row40_col0 {\n",
" background-color: #dcf4dc;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row41_col0 {\n",
+ "#T_9337e_row41_col0 {\n",
" background-color: #cef5ce;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row41_col2 {\n",
+ "#T_9337e_row41_col2 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row42_col2 {\n",
+ "#T_9337e_row42_col2 {\n",
" background-color: #40fe40;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row43_col2 {\n",
+ "#T_9337e_row43_col2 {\n",
" background-color: #45fe45;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row44_col0 {\n",
+ "#T_9337e_row44_col0 {\n",
" background-color: #8bf98b;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row47_col0, #T_26666_row47_col2 {\n",
+ "#T_9337e_row47_col0, #T_9337e_row47_col2 {\n",
" background-color: #e8f3e8;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row48_col2, #T_26666_row49_col2 {\n",
+ "#T_9337e_row48_col2, #T_9337e_row49_col2 {\n",
" background-color: #57fd57;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row50_col0 {\n",
+ "#T_9337e_row50_col0 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row50_col2 {\n",
+ "#T_9337e_row50_col2 {\n",
" background-color: #d7f4d7;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row53_col0 {\n",
+ "#T_9337e_row53_col0 {\n",
" background-color: #e2f4e2;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row53_col2 {\n",
+ "#T_9337e_row53_col2 {\n",
" background-color: #d9f4d9;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row55_col2 {\n",
+ "#T_9337e_row55_col2 {\n",
" background-color: #64fc64;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row56_col0, #T_26666_row56_col2 {\n",
+ "#T_9337e_row56_col0, #T_9337e_row56_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row57_col0, #T_26666_row58_col0 {\n",
+ "#T_9337e_row57_col0, #T_9337e_row58_col0 {\n",
" background-color: #7dfa7d;\n",
" color: #000000;\n",
"}\n",
- "#T_26666_row59_col0 {\n",
+ "#T_9337e_row59_col0 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_26666\">\n",
+ "<table id=\"T_9337e\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_26666_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " <th id=\"T_9337e_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_26666_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
- " <th id=\"T_26666_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_9337e_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_9337e_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_26666_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
- " <th id=\"T_26666_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_26666_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
- " <th id=\"T_26666_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_9337e_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_9337e_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_9337e_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_9337e_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_26666_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_26666_row0_col0\" class=\"data row0 col0\" >20.14</td>\n",
- " <td id=\"T_26666_row0_col1\" class=\"data row0 col1\" >2.59</td>\n",
- " <td id=\"T_26666_row0_col2\" class=\"data row0 col2\" >21.85</td>\n",
- " <td id=\"T_26666_row0_col3\" class=\"data row0 col3\" >3.05</td>\n",
+ " <th id=\"T_9337e_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_9337e_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_9337e_row0_col0\" class=\"data row0 col0\" >20.14</td>\n",
+ " <td id=\"T_9337e_row0_col1\" class=\"data row0 col1\" >2.59</td>\n",
+ " <td id=\"T_9337e_row0_col2\" class=\"data row0 col2\" >21.85</td>\n",
+ " <td id=\"T_9337e_row0_col3\" class=\"data row0 col3\" >3.05</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_26666_row1_col0\" class=\"data row1 col0\" >25.38</td>\n",
- " <td id=\"T_26666_row1_col1\" class=\"data row1 col1\" >2.86</td>\n",
- " <td id=\"T_26666_row1_col2\" class=\"data row1 col2\" >24.40</td>\n",
- " <td id=\"T_26666_row1_col3\" class=\"data row1 col3\" >3.28</td>\n",
+ " <th id=\"T_9337e_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_9337e_row1_col0\" class=\"data row1 col0\" >25.38</td>\n",
+ " <td id=\"T_9337e_row1_col1\" class=\"data row1 col1\" >2.86</td>\n",
+ " <td id=\"T_9337e_row1_col2\" class=\"data row1 col2\" >24.40</td>\n",
+ " <td id=\"T_9337e_row1_col3\" class=\"data row1 col3\" >3.28</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_26666_row2_col0\" class=\"data row2 col0\" >25.71</td>\n",
- " <td id=\"T_26666_row2_col1\" class=\"data row2 col1\" >2.98</td>\n",
- " <td id=\"T_26666_row2_col2\" class=\"data row2 col2\" >25.13</td>\n",
- " <td id=\"T_26666_row2_col3\" class=\"data row2 col3\" >3.63</td>\n",
+ " <th id=\"T_9337e_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_9337e_row2_col0\" class=\"data row2 col0\" >25.71</td>\n",
+ " <td id=\"T_9337e_row2_col1\" class=\"data row2 col1\" >2.98</td>\n",
+ " <td id=\"T_9337e_row2_col2\" class=\"data row2 col2\" >25.13</td>\n",
+ " <td id=\"T_9337e_row2_col3\" class=\"data row2 col3\" >3.63</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_26666_row3_col0\" class=\"data row3 col0\" >25.01</td>\n",
- " <td id=\"T_26666_row3_col1\" class=\"data row3 col1\" >3.21</td>\n",
- " <td id=\"T_26666_row3_col2\" class=\"data row3 col2\" >24.10</td>\n",
- " <td id=\"T_26666_row3_col3\" class=\"data row3 col3\" >3.27</td>\n",
+ " <th id=\"T_9337e_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_9337e_row3_col0\" class=\"data row3 col0\" >25.01</td>\n",
+ " <td id=\"T_9337e_row3_col1\" class=\"data row3 col1\" >3.21</td>\n",
+ " <td id=\"T_9337e_row3_col2\" class=\"data row3 col2\" >24.10</td>\n",
+ " <td id=\"T_9337e_row3_col3\" class=\"data row3 col3\" >3.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_26666_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_26666_row4_col0\" class=\"data row4 col0\" >45.20</td>\n",
- " <td id=\"T_26666_row4_col1\" class=\"data row4 col1\" >3.99</td>\n",
- " <td id=\"T_26666_row4_col2\" class=\"data row4 col2\" >31.11</td>\n",
- " <td id=\"T_26666_row4_col3\" class=\"data row4 col3\" >4.70</td>\n",
+ " <th id=\"T_9337e_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_9337e_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_9337e_row4_col0\" class=\"data row4 col0\" >45.20</td>\n",
+ " <td id=\"T_9337e_row4_col1\" class=\"data row4 col1\" >3.99</td>\n",
+ " <td id=\"T_9337e_row4_col2\" class=\"data row4 col2\" >31.11</td>\n",
+ " <td id=\"T_9337e_row4_col3\" class=\"data row4 col3\" >4.70</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_26666_row5_col0\" class=\"data row5 col0\" >17.03</td>\n",
- " <td id=\"T_26666_row5_col1\" class=\"data row5 col1\" >2.54</td>\n",
- " <td id=\"T_26666_row5_col2\" class=\"data row5 col2\" >21.37</td>\n",
- " <td id=\"T_26666_row5_col3\" class=\"data row5 col3\" >3.16</td>\n",
+ " <th id=\"T_9337e_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_9337e_row5_col0\" class=\"data row5 col0\" >17.03</td>\n",
+ " <td id=\"T_9337e_row5_col1\" class=\"data row5 col1\" >2.54</td>\n",
+ " <td id=\"T_9337e_row5_col2\" class=\"data row5 col2\" >21.37</td>\n",
+ " <td id=\"T_9337e_row5_col3\" class=\"data row5 col3\" >3.16</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_26666_row6_col0\" class=\"data row6 col0\" >17.35</td>\n",
- " <td id=\"T_26666_row6_col1\" class=\"data row6 col1\" >2.45</td>\n",
- " <td id=\"T_26666_row6_col2\" class=\"data row6 col2\" >22.54</td>\n",
- " <td id=\"T_26666_row6_col3\" class=\"data row6 col3\" >3.21</td>\n",
+ " <th id=\"T_9337e_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_9337e_row6_col0\" class=\"data row6 col0\" >17.35</td>\n",
+ " <td id=\"T_9337e_row6_col1\" class=\"data row6 col1\" >2.45</td>\n",
+ " <td id=\"T_9337e_row6_col2\" class=\"data row6 col2\" >22.54</td>\n",
+ " <td id=\"T_9337e_row6_col3\" class=\"data row6 col3\" >3.21</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_26666_row7_col0\" class=\"data row7 col0\" >16.76</td>\n",
- " <td id=\"T_26666_row7_col1\" class=\"data row7 col1\" >2.75</td>\n",
- " <td id=\"T_26666_row7_col2\" class=\"data row7 col2\" >20.66</td>\n",
- " <td id=\"T_26666_row7_col3\" class=\"data row7 col3\" >3.13</td>\n",
+ " <th id=\"T_9337e_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_9337e_row7_col0\" class=\"data row7 col0\" >16.76</td>\n",
+ " <td id=\"T_9337e_row7_col1\" class=\"data row7 col1\" >2.75</td>\n",
+ " <td id=\"T_9337e_row7_col2\" class=\"data row7 col2\" >20.66</td>\n",
+ " <td id=\"T_9337e_row7_col3\" class=\"data row7 col3\" >3.13</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_26666_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_26666_row8_col0\" class=\"data row8 col0\" >13.97</td>\n",
- " <td id=\"T_26666_row8_col1\" class=\"data row8 col1\" >2.74</td>\n",
- " <td id=\"T_26666_row8_col2\" class=\"data row8 col2\" >19.64</td>\n",
- " <td id=\"T_26666_row8_col3\" class=\"data row8 col3\" >3.28</td>\n",
+ " <th id=\"T_9337e_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_9337e_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_9337e_row8_col0\" class=\"data row8 col0\" >13.97</td>\n",
+ " <td id=\"T_9337e_row8_col1\" class=\"data row8 col1\" >2.74</td>\n",
+ " <td id=\"T_9337e_row8_col2\" class=\"data row8 col2\" >19.64</td>\n",
+ " <td id=\"T_9337e_row8_col3\" class=\"data row8 col3\" >3.28</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_26666_row9_col0\" class=\"data row9 col0\" >45.93</td>\n",
- " <td id=\"T_26666_row9_col1\" class=\"data row9 col1\" >4.89</td>\n",
- " <td id=\"T_26666_row9_col2\" class=\"data row9 col2\" >28.45</td>\n",
- " <td id=\"T_26666_row9_col3\" class=\"data row9 col3\" >4.92</td>\n",
+ " <th id=\"T_9337e_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_9337e_row9_col0\" class=\"data row9 col0\" >45.93</td>\n",
+ " <td id=\"T_9337e_row9_col1\" class=\"data row9 col1\" >4.89</td>\n",
+ " <td id=\"T_9337e_row9_col2\" class=\"data row9 col2\" >28.45</td>\n",
+ " <td id=\"T_9337e_row9_col3\" class=\"data row9 col3\" >4.92</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_26666_row10_col0\" class=\"data row10 col0\" >18.18</td>\n",
- " <td id=\"T_26666_row10_col1\" class=\"data row10 col1\" >3.15</td>\n",
- " <td id=\"T_26666_row10_col2\" class=\"data row10 col2\" >24.52</td>\n",
- " <td id=\"T_26666_row10_col3\" class=\"data row10 col3\" >3.50</td>\n",
+ " <th id=\"T_9337e_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_9337e_row10_col0\" class=\"data row10 col0\" >18.18</td>\n",
+ " <td id=\"T_9337e_row10_col1\" class=\"data row10 col1\" >3.15</td>\n",
+ " <td id=\"T_9337e_row10_col2\" class=\"data row10 col2\" >24.52</td>\n",
+ " <td id=\"T_9337e_row10_col3\" class=\"data row10 col3\" >3.50</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_26666_row11_col0\" class=\"data row11 col0\" >18.16</td>\n",
- " <td id=\"T_26666_row11_col1\" class=\"data row11 col1\" >3.02</td>\n",
- " <td id=\"T_26666_row11_col2\" class=\"data row11 col2\" >23.01</td>\n",
- " <td id=\"T_26666_row11_col3\" class=\"data row11 col3\" >3.26</td>\n",
+ " <th id=\"T_9337e_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_9337e_row11_col0\" class=\"data row11 col0\" >18.16</td>\n",
+ " <td id=\"T_9337e_row11_col1\" class=\"data row11 col1\" >3.02</td>\n",
+ " <td id=\"T_9337e_row11_col2\" class=\"data row11 col2\" >23.01</td>\n",
+ " <td id=\"T_9337e_row11_col3\" class=\"data row11 col3\" >3.26</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_26666_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_26666_row12_col0\" class=\"data row12 col0\" >14.13</td>\n",
- " <td id=\"T_26666_row12_col1\" class=\"data row12 col1\" >3.56</td>\n",
- " <td id=\"T_26666_row12_col2\" class=\"data row12 col2\" >20.33</td>\n",
- " <td id=\"T_26666_row12_col3\" class=\"data row12 col3\" >3.31</td>\n",
+ " <th id=\"T_9337e_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_9337e_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_9337e_row12_col0\" class=\"data row12 col0\" >14.13</td>\n",
+ " <td id=\"T_9337e_row12_col1\" class=\"data row12 col1\" >3.56</td>\n",
+ " <td id=\"T_9337e_row12_col2\" class=\"data row12 col2\" >20.33</td>\n",
+ " <td id=\"T_9337e_row12_col3\" class=\"data row12 col3\" >3.31</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_26666_row13_col0\" class=\"data row13 col0\" >18.18</td>\n",
- " <td id=\"T_26666_row13_col1\" class=\"data row13 col1\" >2.98</td>\n",
- " <td id=\"T_26666_row13_col2\" class=\"data row13 col2\" >24.85</td>\n",
- " <td id=\"T_26666_row13_col3\" class=\"data row13 col3\" >3.08</td>\n",
+ " <th id=\"T_9337e_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_9337e_row13_col0\" class=\"data row13 col0\" >18.18</td>\n",
+ " <td id=\"T_9337e_row13_col1\" class=\"data row13 col1\" >2.98</td>\n",
+ " <td id=\"T_9337e_row13_col2\" class=\"data row13 col2\" >24.85</td>\n",
+ " <td id=\"T_9337e_row13_col3\" class=\"data row13 col3\" >3.08</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_26666_row14_col0\" class=\"data row14 col0\" >45.58</td>\n",
- " <td id=\"T_26666_row14_col1\" class=\"data row14 col1\" >5.16</td>\n",
- " <td id=\"T_26666_row14_col2\" class=\"data row14 col2\" >27.21</td>\n",
- " <td id=\"T_26666_row14_col3\" class=\"data row14 col3\" >5.01</td>\n",
+ " <th id=\"T_9337e_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_9337e_row14_col0\" class=\"data row14 col0\" >45.58</td>\n",
+ " <td id=\"T_9337e_row14_col1\" class=\"data row14 col1\" >5.16</td>\n",
+ " <td id=\"T_9337e_row14_col2\" class=\"data row14 col2\" >27.21</td>\n",
+ " <td id=\"T_9337e_row14_col3\" class=\"data row14 col3\" >5.01</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_26666_row15_col0\" class=\"data row15 col0\" >18.43</td>\n",
- " <td id=\"T_26666_row15_col1\" class=\"data row15 col1\" >3.20</td>\n",
- " <td id=\"T_26666_row15_col2\" class=\"data row15 col2\" >23.26</td>\n",
- " <td id=\"T_26666_row15_col3\" class=\"data row15 col3\" >3.44</td>\n",
+ " <th id=\"T_9337e_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_9337e_row15_col0\" class=\"data row15 col0\" >18.43</td>\n",
+ " <td id=\"T_9337e_row15_col1\" class=\"data row15 col1\" >3.20</td>\n",
+ " <td id=\"T_9337e_row15_col2\" class=\"data row15 col2\" >23.26</td>\n",
+ " <td id=\"T_9337e_row15_col3\" class=\"data row15 col3\" >3.44</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_26666_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_26666_row16_col0\" class=\"data row16 col0\" >13.93</td>\n",
- " <td id=\"T_26666_row16_col1\" class=\"data row16 col1\" >3.06</td>\n",
- " <td id=\"T_26666_row16_col2\" class=\"data row16 col2\" >19.82</td>\n",
- " <td id=\"T_26666_row16_col3\" class=\"data row16 col3\" >3.19</td>\n",
+ " <th id=\"T_9337e_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_9337e_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_9337e_row16_col0\" class=\"data row16 col0\" >13.93</td>\n",
+ " <td id=\"T_9337e_row16_col1\" class=\"data row16 col1\" >3.06</td>\n",
+ " <td id=\"T_9337e_row16_col2\" class=\"data row16 col2\" >19.82</td>\n",
+ " <td id=\"T_9337e_row16_col3\" class=\"data row16 col3\" >3.19</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_26666_row17_col0\" class=\"data row17 col0\" >18.63</td>\n",
- " <td id=\"T_26666_row17_col1\" class=\"data row17 col1\" >3.21</td>\n",
- " <td id=\"T_26666_row17_col2\" class=\"data row17 col2\" >24.23</td>\n",
- " <td id=\"T_26666_row17_col3\" class=\"data row17 col3\" >3.52</td>\n",
+ " <th id=\"T_9337e_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_9337e_row17_col0\" class=\"data row17 col0\" >18.63</td>\n",
+ " <td id=\"T_9337e_row17_col1\" class=\"data row17 col1\" >3.21</td>\n",
+ " <td id=\"T_9337e_row17_col2\" class=\"data row17 col2\" >24.23</td>\n",
+ " <td id=\"T_9337e_row17_col3\" class=\"data row17 col3\" >3.52</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_26666_row18_col0\" class=\"data row18 col0\" >18.74</td>\n",
- " <td id=\"T_26666_row18_col1\" class=\"data row18 col1\" >2.79</td>\n",
- " <td id=\"T_26666_row18_col2\" class=\"data row18 col2\" >25.16</td>\n",
- " <td id=\"T_26666_row18_col3\" class=\"data row18 col3\" >3.29</td>\n",
+ " <th id=\"T_9337e_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_9337e_row18_col0\" class=\"data row18 col0\" >18.74</td>\n",
+ " <td id=\"T_9337e_row18_col1\" class=\"data row18 col1\" >2.79</td>\n",
+ " <td id=\"T_9337e_row18_col2\" class=\"data row18 col2\" >25.16</td>\n",
+ " <td id=\"T_9337e_row18_col3\" class=\"data row18 col3\" >3.29</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_26666_row19_col0\" class=\"data row19 col0\" >44.96</td>\n",
- " <td id=\"T_26666_row19_col1\" class=\"data row19 col1\" >5.10</td>\n",
- " <td id=\"T_26666_row19_col2\" class=\"data row19 col2\" >26.37</td>\n",
- " <td id=\"T_26666_row19_col3\" class=\"data row19 col3\" >4.98</td>\n",
+ " <th id=\"T_9337e_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_9337e_row19_col0\" class=\"data row19 col0\" >44.96</td>\n",
+ " <td id=\"T_9337e_row19_col1\" class=\"data row19 col1\" >5.10</td>\n",
+ " <td id=\"T_9337e_row19_col2\" class=\"data row19 col2\" >26.37</td>\n",
+ " <td id=\"T_9337e_row19_col3\" class=\"data row19 col3\" >4.98</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_26666_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_26666_row20_col0\" class=\"data row20 col0\" >34.10</td>\n",
- " <td id=\"T_26666_row20_col1\" class=\"data row20 col1\" >3.34</td>\n",
- " <td id=\"T_26666_row20_col2\" class=\"data row20 col2\" >31.55</td>\n",
- " <td id=\"T_26666_row20_col3\" class=\"data row20 col3\" >3.58</td>\n",
+ " <th id=\"T_9337e_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_9337e_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_9337e_row20_col0\" class=\"data row20 col0\" >34.10</td>\n",
+ " <td id=\"T_9337e_row20_col1\" class=\"data row20 col1\" >3.34</td>\n",
+ " <td id=\"T_9337e_row20_col2\" class=\"data row20 col2\" >31.55</td>\n",
+ " <td id=\"T_9337e_row20_col3\" class=\"data row20 col3\" >3.58</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_26666_row21_col0\" class=\"data row21 col0\" >39.35</td>\n",
- " <td id=\"T_26666_row21_col1\" class=\"data row21 col1\" >3.76</td>\n",
- " <td id=\"T_26666_row21_col2\" class=\"data row21 col2\" >28.74</td>\n",
- " <td id=\"T_26666_row21_col3\" class=\"data row21 col3\" >3.96</td>\n",
+ " <th id=\"T_9337e_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_9337e_row21_col0\" class=\"data row21 col0\" >39.35</td>\n",
+ " <td id=\"T_9337e_row21_col1\" class=\"data row21 col1\" >3.76</td>\n",
+ " <td id=\"T_9337e_row21_col2\" class=\"data row21 col2\" >28.74</td>\n",
+ " <td id=\"T_9337e_row21_col3\" class=\"data row21 col3\" >3.96</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_26666_row22_col0\" class=\"data row22 col0\" >11.81</td>\n",
- " <td id=\"T_26666_row22_col1\" class=\"data row22 col1\" >2.62</td>\n",
- " <td id=\"T_26666_row22_col2\" class=\"data row22 col2\" >18.57</td>\n",
- " <td id=\"T_26666_row22_col3\" class=\"data row22 col3\" >3.00</td>\n",
+ " <th id=\"T_9337e_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_9337e_row22_col0\" class=\"data row22 col0\" >11.81</td>\n",
+ " <td id=\"T_9337e_row22_col1\" class=\"data row22 col1\" >2.62</td>\n",
+ " <td id=\"T_9337e_row22_col2\" class=\"data row22 col2\" >18.57</td>\n",
+ " <td id=\"T_9337e_row22_col3\" class=\"data row22 col3\" >3.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_26666_row23_col0\" class=\"data row23 col0\" >10.91</td>\n",
- " <td id=\"T_26666_row23_col1\" class=\"data row23 col1\" >2.47</td>\n",
- " <td id=\"T_26666_row23_col2\" class=\"data row23 col2\" >16.81</td>\n",
- " <td id=\"T_26666_row23_col3\" class=\"data row23 col3\" >3.05</td>\n",
+ " <th id=\"T_9337e_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_9337e_row23_col0\" class=\"data row23 col0\" >10.91</td>\n",
+ " <td id=\"T_9337e_row23_col1\" class=\"data row23 col1\" >2.47</td>\n",
+ " <td id=\"T_9337e_row23_col2\" class=\"data row23 col2\" >16.81</td>\n",
+ " <td id=\"T_9337e_row23_col3\" class=\"data row23 col3\" >3.05</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_26666_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_26666_row24_col0\" class=\"data row24 col0\" >34.82</td>\n",
- " <td id=\"T_26666_row24_col1\" class=\"data row24 col1\" >3.42</td>\n",
- " <td id=\"T_26666_row24_col2\" class=\"data row24 col2\" >31.82</td>\n",
- " <td id=\"T_26666_row24_col3\" class=\"data row24 col3\" >3.78</td>\n",
+ " <th id=\"T_9337e_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_9337e_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_9337e_row24_col0\" class=\"data row24 col0\" >34.82</td>\n",
+ " <td id=\"T_9337e_row24_col1\" class=\"data row24 col1\" >3.42</td>\n",
+ " <td id=\"T_9337e_row24_col2\" class=\"data row24 col2\" >31.82</td>\n",
+ " <td id=\"T_9337e_row24_col3\" class=\"data row24 col3\" >3.78</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_26666_row25_col0\" class=\"data row25 col0\" >11.73</td>\n",
- " <td id=\"T_26666_row25_col1\" class=\"data row25 col1\" >2.66</td>\n",
- " <td id=\"T_26666_row25_col2\" class=\"data row25 col2\" >17.72</td>\n",
- " <td id=\"T_26666_row25_col3\" class=\"data row25 col3\" >3.08</td>\n",
+ " <th id=\"T_9337e_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_9337e_row25_col0\" class=\"data row25 col0\" >11.73</td>\n",
+ " <td id=\"T_9337e_row25_col1\" class=\"data row25 col1\" >2.66</td>\n",
+ " <td id=\"T_9337e_row25_col2\" class=\"data row25 col2\" >17.72</td>\n",
+ " <td id=\"T_9337e_row25_col3\" class=\"data row25 col3\" >3.08</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_26666_row26_col0\" class=\"data row26 col0\" >38.81</td>\n",
- " <td id=\"T_26666_row26_col1\" class=\"data row26 col1\" >3.88</td>\n",
- " <td id=\"T_26666_row26_col2\" class=\"data row26 col2\" >28.94</td>\n",
- " <td id=\"T_26666_row26_col3\" class=\"data row26 col3\" >4.43</td>\n",
+ " <th id=\"T_9337e_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_9337e_row26_col0\" class=\"data row26 col0\" >38.81</td>\n",
+ " <td id=\"T_9337e_row26_col1\" class=\"data row26 col1\" >3.88</td>\n",
+ " <td id=\"T_9337e_row26_col2\" class=\"data row26 col2\" >28.94</td>\n",
+ " <td id=\"T_9337e_row26_col3\" class=\"data row26 col3\" >4.43</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_26666_row27_col0\" class=\"data row27 col0\" >11.00</td>\n",
- " <td id=\"T_26666_row27_col1\" class=\"data row27 col1\" >2.60</td>\n",
- " <td id=\"T_26666_row27_col2\" class=\"data row27 col2\" >17.31</td>\n",
- " <td id=\"T_26666_row27_col3\" class=\"data row27 col3\" >2.99</td>\n",
+ " <th id=\"T_9337e_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_9337e_row27_col0\" class=\"data row27 col0\" >11.00</td>\n",
+ " <td id=\"T_9337e_row27_col1\" class=\"data row27 col1\" >2.60</td>\n",
+ " <td id=\"T_9337e_row27_col2\" class=\"data row27 col2\" >17.31</td>\n",
+ " <td id=\"T_9337e_row27_col3\" class=\"data row27 col3\" >2.99</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_26666_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_26666_row28_col0\" class=\"data row28 col0\" >34.13</td>\n",
- " <td id=\"T_26666_row28_col1\" class=\"data row28 col1\" >3.25</td>\n",
- " <td id=\"T_26666_row28_col2\" class=\"data row28 col2\" >31.91</td>\n",
- " <td id=\"T_26666_row28_col3\" class=\"data row28 col3\" >4.18</td>\n",
+ " <th id=\"T_9337e_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_9337e_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_9337e_row28_col0\" class=\"data row28 col0\" >34.13</td>\n",
+ " <td id=\"T_9337e_row28_col1\" class=\"data row28 col1\" >3.25</td>\n",
+ " <td id=\"T_9337e_row28_col2\" class=\"data row28 col2\" >31.91</td>\n",
+ " <td id=\"T_9337e_row28_col3\" class=\"data row28 col3\" >4.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_26666_row29_col0\" class=\"data row29 col0\" >12.48</td>\n",
- " <td id=\"T_26666_row29_col1\" class=\"data row29 col1\" >2.65</td>\n",
- " <td id=\"T_26666_row29_col2\" class=\"data row29 col2\" >17.62</td>\n",
- " <td id=\"T_26666_row29_col3\" class=\"data row29 col3\" >3.16</td>\n",
+ " <th id=\"T_9337e_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_9337e_row29_col0\" class=\"data row29 col0\" >12.48</td>\n",
+ " <td id=\"T_9337e_row29_col1\" class=\"data row29 col1\" >2.65</td>\n",
+ " <td id=\"T_9337e_row29_col2\" class=\"data row29 col2\" >17.62</td>\n",
+ " <td id=\"T_9337e_row29_col3\" class=\"data row29 col3\" >3.16</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_26666_row30_col0\" class=\"data row30 col0\" >12.40</td>\n",
- " <td id=\"T_26666_row30_col1\" class=\"data row30 col1\" >2.67</td>\n",
- " <td id=\"T_26666_row30_col2\" class=\"data row30 col2\" >18.68</td>\n",
- " <td id=\"T_26666_row30_col3\" class=\"data row30 col3\" >2.74</td>\n",
+ " <th id=\"T_9337e_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_9337e_row30_col0\" class=\"data row30 col0\" >12.40</td>\n",
+ " <td id=\"T_9337e_row30_col1\" class=\"data row30 col1\" >2.67</td>\n",
+ " <td id=\"T_9337e_row30_col2\" class=\"data row30 col2\" >18.68</td>\n",
+ " <td id=\"T_9337e_row30_col3\" class=\"data row30 col3\" >2.74</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_26666_row31_col0\" class=\"data row31 col0\" >37.29</td>\n",
- " <td id=\"T_26666_row31_col1\" class=\"data row31 col1\" >4.09</td>\n",
- " <td id=\"T_26666_row31_col2\" class=\"data row31 col2\" >27.58</td>\n",
- " <td id=\"T_26666_row31_col3\" class=\"data row31 col3\" >4.29</td>\n",
+ " <th id=\"T_9337e_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_9337e_row31_col0\" class=\"data row31 col0\" >37.29</td>\n",
+ " <td id=\"T_9337e_row31_col1\" class=\"data row31 col1\" >4.09</td>\n",
+ " <td id=\"T_9337e_row31_col2\" class=\"data row31 col2\" >27.58</td>\n",
+ " <td id=\"T_9337e_row31_col3\" class=\"data row31 col3\" >4.29</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_26666_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_26666_row32_col0\" class=\"data row32 col0\" >9.27</td>\n",
- " <td id=\"T_26666_row32_col1\" class=\"data row32 col1\" >2.58</td>\n",
- " <td id=\"T_26666_row32_col2\" class=\"data row32 col2\" >16.33</td>\n",
- " <td id=\"T_26666_row32_col3\" class=\"data row32 col3\" >3.49</td>\n",
+ " <th id=\"T_9337e_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_9337e_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_9337e_row32_col0\" class=\"data row32 col0\" >9.27</td>\n",
+ " <td id=\"T_9337e_row32_col1\" class=\"data row32 col1\" >2.58</td>\n",
+ " <td id=\"T_9337e_row32_col2\" class=\"data row32 col2\" >16.33</td>\n",
+ " <td id=\"T_9337e_row32_col3\" class=\"data row32 col3\" >3.49</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_26666_row33_col0\" class=\"data row33 col0\" >37.70</td>\n",
- " <td id=\"T_26666_row33_col1\" class=\"data row33 col1\" >3.97</td>\n",
- " <td id=\"T_26666_row33_col2\" class=\"data row33 col2\" >31.35</td>\n",
- " <td id=\"T_26666_row33_col3\" class=\"data row33 col3\" >4.40</td>\n",
+ " <th id=\"T_9337e_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_9337e_row33_col0\" class=\"data row33 col0\" >37.70</td>\n",
+ " <td id=\"T_9337e_row33_col1\" class=\"data row33 col1\" >3.97</td>\n",
+ " <td id=\"T_9337e_row33_col2\" class=\"data row33 col2\" >31.35</td>\n",
+ " <td id=\"T_9337e_row33_col3\" class=\"data row33 col3\" >4.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_26666_row34_col0\" class=\"data row34 col0\" >37.33</td>\n",
- " <td id=\"T_26666_row34_col1\" class=\"data row34 col1\" >4.15</td>\n",
- " <td id=\"T_26666_row34_col2\" class=\"data row34 col2\" >29.42</td>\n",
- " <td id=\"T_26666_row34_col3\" class=\"data row34 col3\" >4.18</td>\n",
+ " <th id=\"T_9337e_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_9337e_row34_col0\" class=\"data row34 col0\" >37.33</td>\n",
+ " <td id=\"T_9337e_row34_col1\" class=\"data row34 col1\" >4.15</td>\n",
+ " <td id=\"T_9337e_row34_col2\" class=\"data row34 col2\" >29.42</td>\n",
+ " <td id=\"T_9337e_row34_col3\" class=\"data row34 col3\" >4.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_26666_row35_col0\" class=\"data row35 col0\" >12.00</td>\n",
- " <td id=\"T_26666_row35_col1\" class=\"data row35 col1\" >2.95</td>\n",
- " <td id=\"T_26666_row35_col2\" class=\"data row35 col2\" >18.38</td>\n",
- " <td id=\"T_26666_row35_col3\" class=\"data row35 col3\" >3.26</td>\n",
+ " <th id=\"T_9337e_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_9337e_row35_col0\" class=\"data row35 col0\" >12.00</td>\n",
+ " <td id=\"T_9337e_row35_col1\" class=\"data row35 col1\" >2.95</td>\n",
+ " <td id=\"T_9337e_row35_col2\" class=\"data row35 col2\" >18.38</td>\n",
+ " <td id=\"T_9337e_row35_col3\" class=\"data row35 col3\" >3.26</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_26666_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_26666_row36_col0\" class=\"data row36 col0\" >9.50</td>\n",
- " <td id=\"T_26666_row36_col1\" class=\"data row36 col1\" >2.69</td>\n",
- " <td id=\"T_26666_row36_col2\" class=\"data row36 col2\" >15.52</td>\n",
- " <td id=\"T_26666_row36_col3\" class=\"data row36 col3\" >3.21</td>\n",
+ " <th id=\"T_9337e_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_9337e_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_9337e_row36_col0\" class=\"data row36 col0\" >9.50</td>\n",
+ " <td id=\"T_9337e_row36_col1\" class=\"data row36 col1\" >2.69</td>\n",
+ " <td id=\"T_9337e_row36_col2\" class=\"data row36 col2\" >15.52</td>\n",
+ " <td id=\"T_9337e_row36_col3\" class=\"data row36 col3\" >3.21</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_26666_row37_col0\" class=\"data row37 col0\" >37.08</td>\n",
- " <td id=\"T_26666_row37_col1\" class=\"data row37 col1\" >3.52</td>\n",
- " <td id=\"T_26666_row37_col2\" class=\"data row37 col2\" >31.17</td>\n",
- " <td id=\"T_26666_row37_col3\" class=\"data row37 col3\" >4.20</td>\n",
+ " <th id=\"T_9337e_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_9337e_row37_col0\" class=\"data row37 col0\" >37.08</td>\n",
+ " <td id=\"T_9337e_row37_col1\" class=\"data row37 col1\" >3.52</td>\n",
+ " <td id=\"T_9337e_row37_col2\" class=\"data row37 col2\" >31.17</td>\n",
+ " <td id=\"T_9337e_row37_col3\" class=\"data row37 col3\" >4.20</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_26666_row38_col0\" class=\"data row38 col0\" >12.55</td>\n",
- " <td id=\"T_26666_row38_col1\" class=\"data row38 col1\" >2.86</td>\n",
- " <td id=\"T_26666_row38_col2\" class=\"data row38 col2\" >19.75</td>\n",
- " <td id=\"T_26666_row38_col3\" class=\"data row38 col3\" >3.29</td>\n",
+ " <th id=\"T_9337e_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_9337e_row38_col0\" class=\"data row38 col0\" >12.55</td>\n",
+ " <td id=\"T_9337e_row38_col1\" class=\"data row38 col1\" >2.86</td>\n",
+ " <td id=\"T_9337e_row38_col2\" class=\"data row38 col2\" >19.75</td>\n",
+ " <td id=\"T_9337e_row38_col3\" class=\"data row38 col3\" >3.29</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_26666_row39_col0\" class=\"data row39 col0\" >37.01</td>\n",
- " <td id=\"T_26666_row39_col1\" class=\"data row39 col1\" >3.80</td>\n",
- " <td id=\"T_26666_row39_col2\" class=\"data row39 col2\" >29.06</td>\n",
- " <td id=\"T_26666_row39_col3\" class=\"data row39 col3\" >4.02</td>\n",
+ " <th id=\"T_9337e_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_9337e_row39_col0\" class=\"data row39 col0\" >37.01</td>\n",
+ " <td id=\"T_9337e_row39_col1\" class=\"data row39 col1\" >3.80</td>\n",
+ " <td id=\"T_9337e_row39_col2\" class=\"data row39 col2\" >29.06</td>\n",
+ " <td id=\"T_9337e_row39_col3\" class=\"data row39 col3\" >4.02</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_26666_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_26666_row40_col0\" class=\"data row40 col0\" >9.19</td>\n",
- " <td id=\"T_26666_row40_col1\" class=\"data row40 col1\" >2.98</td>\n",
- " <td id=\"T_26666_row40_col2\" class=\"data row40 col2\" >15.53</td>\n",
- " <td id=\"T_26666_row40_col3\" class=\"data row40 col3\" >3.61</td>\n",
+ " <th id=\"T_9337e_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_9337e_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_9337e_row40_col0\" class=\"data row40 col0\" >9.19</td>\n",
+ " <td id=\"T_9337e_row40_col1\" class=\"data row40 col1\" >2.98</td>\n",
+ " <td id=\"T_9337e_row40_col2\" class=\"data row40 col2\" >15.53</td>\n",
+ " <td id=\"T_9337e_row40_col3\" class=\"data row40 col3\" >3.61</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_26666_row41_col0\" class=\"data row41 col0\" >12.25</td>\n",
- " <td id=\"T_26666_row41_col1\" class=\"data row41 col1\" >2.57</td>\n",
- " <td id=\"T_26666_row41_col2\" class=\"data row41 col2\" >19.52</td>\n",
- " <td id=\"T_26666_row41_col3\" class=\"data row41 col3\" >3.12</td>\n",
+ " <th id=\"T_9337e_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_9337e_row41_col0\" class=\"data row41 col0\" >12.25</td>\n",
+ " <td id=\"T_9337e_row41_col1\" class=\"data row41 col1\" >2.57</td>\n",
+ " <td id=\"T_9337e_row41_col2\" class=\"data row41 col2\" >19.52</td>\n",
+ " <td id=\"T_9337e_row41_col3\" class=\"data row41 col3\" >3.12</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_26666_row42_col0\" class=\"data row42 col0\" >37.41</td>\n",
- " <td id=\"T_26666_row42_col1\" class=\"data row42 col1\" >4.00</td>\n",
- " <td id=\"T_26666_row42_col2\" class=\"data row42 col2\" >30.50</td>\n",
- " <td id=\"T_26666_row42_col3\" class=\"data row42 col3\" >4.45</td>\n",
+ " <th id=\"T_9337e_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_9337e_row42_col0\" class=\"data row42 col0\" >37.41</td>\n",
+ " <td id=\"T_9337e_row42_col1\" class=\"data row42 col1\" >4.00</td>\n",
+ " <td id=\"T_9337e_row42_col2\" class=\"data row42 col2\" >30.50</td>\n",
+ " <td id=\"T_9337e_row42_col3\" class=\"data row42 col3\" >4.45</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_26666_row43_col0\" class=\"data row43 col0\" >37.50</td>\n",
- " <td id=\"T_26666_row43_col1\" class=\"data row43 col1\" >3.50</td>\n",
- " <td id=\"T_26666_row43_col2\" class=\"data row43 col2\" >29.94</td>\n",
- " <td id=\"T_26666_row43_col3\" class=\"data row43 col3\" >4.57</td>\n",
+ " <th id=\"T_9337e_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_9337e_row43_col0\" class=\"data row43 col0\" >37.50</td>\n",
+ " <td id=\"T_9337e_row43_col1\" class=\"data row43 col1\" >3.50</td>\n",
+ " <td id=\"T_9337e_row43_col2\" class=\"data row43 col2\" >29.94</td>\n",
+ " <td id=\"T_9337e_row43_col3\" class=\"data row43 col3\" >4.57</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_26666_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_26666_row44_col0\" class=\"data row44 col0\" >26.75</td>\n",
- " <td id=\"T_26666_row44_col1\" class=\"data row44 col1\" >3.17</td>\n",
- " <td id=\"T_26666_row44_col2\" class=\"data row44 col2\" >27.55</td>\n",
- " <td id=\"T_26666_row44_col3\" class=\"data row44 col3\" >3.28</td>\n",
+ " <th id=\"T_9337e_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_9337e_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_9337e_row44_col0\" class=\"data row44 col0\" >26.75</td>\n",
+ " <td id=\"T_9337e_row44_col1\" class=\"data row44 col1\" >3.17</td>\n",
+ " <td id=\"T_9337e_row44_col2\" class=\"data row44 col2\" >27.55</td>\n",
+ " <td id=\"T_9337e_row44_col3\" class=\"data row44 col3\" >3.28</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_26666_row45_col0\" class=\"data row45 col0\" >30.92</td>\n",
- " <td id=\"T_26666_row45_col1\" class=\"data row45 col1\" >3.15</td>\n",
- " <td id=\"T_26666_row45_col2\" class=\"data row45 col2\" >28.47</td>\n",
- " <td id=\"T_26666_row45_col3\" class=\"data row45 col3\" >3.88</td>\n",
+ " <th id=\"T_9337e_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_9337e_row45_col0\" class=\"data row45 col0\" >30.92</td>\n",
+ " <td id=\"T_9337e_row45_col1\" class=\"data row45 col1\" >3.15</td>\n",
+ " <td id=\"T_9337e_row45_col2\" class=\"data row45 col2\" >28.47</td>\n",
+ " <td id=\"T_9337e_row45_col3\" class=\"data row45 col3\" >3.88</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_26666_row46_col0\" class=\"data row46 col0\" >32.11</td>\n",
- " <td id=\"T_26666_row46_col1\" class=\"data row46 col1\" >3.14</td>\n",
- " <td id=\"T_26666_row46_col2\" class=\"data row46 col2\" >27.71</td>\n",
- " <td id=\"T_26666_row46_col3\" class=\"data row46 col3\" >4.08</td>\n",
+ " <th id=\"T_9337e_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_9337e_row46_col0\" class=\"data row46 col0\" >32.11</td>\n",
+ " <td id=\"T_9337e_row46_col1\" class=\"data row46 col1\" >3.14</td>\n",
+ " <td id=\"T_9337e_row46_col2\" class=\"data row46 col2\" >27.71</td>\n",
+ " <td id=\"T_9337e_row46_col3\" class=\"data row46 col3\" >4.08</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_26666_row47_col0\" class=\"data row47 col0\" >6.50</td>\n",
- " <td id=\"T_26666_row47_col1\" class=\"data row47 col1\" >2.16</td>\n",
- " <td id=\"T_26666_row47_col2\" class=\"data row47 col2\" >11.71</td>\n",
- " <td id=\"T_26666_row47_col3\" class=\"data row47 col3\" >2.81</td>\n",
+ " <th id=\"T_9337e_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_9337e_row47_col0\" class=\"data row47 col0\" >6.50</td>\n",
+ " <td id=\"T_9337e_row47_col1\" class=\"data row47 col1\" >2.16</td>\n",
+ " <td id=\"T_9337e_row47_col2\" class=\"data row47 col2\" >11.71</td>\n",
+ " <td id=\"T_9337e_row47_col3\" class=\"data row47 col3\" >2.81</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_26666_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_26666_row48_col0\" class=\"data row48 col0\" >25.81</td>\n",
- " <td id=\"T_26666_row48_col1\" class=\"data row48 col1\" >3.07</td>\n",
- " <td id=\"T_26666_row48_col2\" class=\"data row48 col2\" >27.97</td>\n",
- " <td id=\"T_26666_row48_col3\" class=\"data row48 col3\" >4.25</td>\n",
+ " <th id=\"T_9337e_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_9337e_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_9337e_row48_col0\" class=\"data row48 col0\" >25.81</td>\n",
+ " <td id=\"T_9337e_row48_col1\" class=\"data row48 col1\" >3.07</td>\n",
+ " <td id=\"T_9337e_row48_col2\" class=\"data row48 col2\" >27.97</td>\n",
+ " <td id=\"T_9337e_row48_col3\" class=\"data row48 col3\" >4.25</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_26666_row49_col0\" class=\"data row49 col0\" >31.45</td>\n",
- " <td id=\"T_26666_row49_col1\" class=\"data row49 col1\" >3.30</td>\n",
- " <td id=\"T_26666_row49_col2\" class=\"data row49 col2\" >27.91</td>\n",
- " <td id=\"T_26666_row49_col3\" class=\"data row49 col3\" >4.24</td>\n",
+ " <th id=\"T_9337e_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_9337e_row49_col0\" class=\"data row49 col0\" >31.45</td>\n",
+ " <td id=\"T_9337e_row49_col1\" class=\"data row49 col1\" >3.30</td>\n",
+ " <td id=\"T_9337e_row49_col2\" class=\"data row49 col2\" >27.91</td>\n",
+ " <td id=\"T_9337e_row49_col3\" class=\"data row49 col3\" >4.24</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_26666_row50_col0\" class=\"data row50 col0\" >7.67</td>\n",
- " <td id=\"T_26666_row50_col1\" class=\"data row50 col1\" >2.28</td>\n",
- " <td id=\"T_26666_row50_col2\" class=\"data row50 col2\" >13.56</td>\n",
- " <td id=\"T_26666_row50_col3\" class=\"data row50 col3\" >3.30</td>\n",
+ " <th id=\"T_9337e_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_9337e_row50_col0\" class=\"data row50 col0\" >7.67</td>\n",
+ " <td id=\"T_9337e_row50_col1\" class=\"data row50 col1\" >2.28</td>\n",
+ " <td id=\"T_9337e_row50_col2\" class=\"data row50 col2\" >13.56</td>\n",
+ " <td id=\"T_9337e_row50_col3\" class=\"data row50 col3\" >3.30</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_26666_row51_col0\" class=\"data row51 col0\" >31.27</td>\n",
- " <td id=\"T_26666_row51_col1\" class=\"data row51 col1\" >3.81</td>\n",
- " <td id=\"T_26666_row51_col2\" class=\"data row51 col2\" >26.14</td>\n",
- " <td id=\"T_26666_row51_col3\" class=\"data row51 col3\" >4.55</td>\n",
+ " <th id=\"T_9337e_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_9337e_row51_col0\" class=\"data row51 col0\" >31.27</td>\n",
+ " <td id=\"T_9337e_row51_col1\" class=\"data row51 col1\" >3.81</td>\n",
+ " <td id=\"T_9337e_row51_col2\" class=\"data row51 col2\" >26.14</td>\n",
+ " <td id=\"T_9337e_row51_col3\" class=\"data row51 col3\" >4.55</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_26666_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_26666_row52_col0\" class=\"data row52 col0\" >25.81</td>\n",
- " <td id=\"T_26666_row52_col1\" class=\"data row52 col1\" >3.01</td>\n",
- " <td id=\"T_26666_row52_col2\" class=\"data row52 col2\" >27.58</td>\n",
- " <td id=\"T_26666_row52_col3\" class=\"data row52 col3\" >3.63</td>\n",
+ " <th id=\"T_9337e_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_9337e_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_9337e_row52_col0\" class=\"data row52 col0\" >25.81</td>\n",
+ " <td id=\"T_9337e_row52_col1\" class=\"data row52 col1\" >3.01</td>\n",
+ " <td id=\"T_9337e_row52_col2\" class=\"data row52 col2\" >27.58</td>\n",
+ " <td id=\"T_9337e_row52_col3\" class=\"data row52 col3\" >3.63</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_26666_row53_col0\" class=\"data row53 col0\" >7.81</td>\n",
- " <td id=\"T_26666_row53_col1\" class=\"data row53 col1\" >2.41</td>\n",
- " <td id=\"T_26666_row53_col2\" class=\"data row53 col2\" >13.38</td>\n",
- " <td id=\"T_26666_row53_col3\" class=\"data row53 col3\" >2.91</td>\n",
+ " <th id=\"T_9337e_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_9337e_row53_col0\" class=\"data row53 col0\" >7.81</td>\n",
+ " <td id=\"T_9337e_row53_col1\" class=\"data row53 col1\" >2.41</td>\n",
+ " <td id=\"T_9337e_row53_col2\" class=\"data row53 col2\" >13.38</td>\n",
+ " <td id=\"T_9337e_row53_col3\" class=\"data row53 col3\" >2.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_26666_row54_col0\" class=\"data row54 col0\" >30.73</td>\n",
- " <td id=\"T_26666_row54_col1\" class=\"data row54 col1\" >3.64</td>\n",
- " <td id=\"T_26666_row54_col2\" class=\"data row54 col2\" >28.26</td>\n",
- " <td id=\"T_26666_row54_col3\" class=\"data row54 col3\" >4.13</td>\n",
+ " <th id=\"T_9337e_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_9337e_row54_col0\" class=\"data row54 col0\" >30.73</td>\n",
+ " <td id=\"T_9337e_row54_col1\" class=\"data row54 col1\" >3.64</td>\n",
+ " <td id=\"T_9337e_row54_col2\" class=\"data row54 col2\" >28.26</td>\n",
+ " <td id=\"T_9337e_row54_col3\" class=\"data row54 col3\" >4.13</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_26666_row55_col0\" class=\"data row55 col0\" >32.04</td>\n",
- " <td id=\"T_26666_row55_col1\" class=\"data row55 col1\" >3.67</td>\n",
- " <td id=\"T_26666_row55_col2\" class=\"data row55 col2\" >26.52</td>\n",
- " <td id=\"T_26666_row55_col3\" class=\"data row55 col3\" >3.80</td>\n",
+ " <th id=\"T_9337e_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_9337e_row55_col0\" class=\"data row55 col0\" >32.04</td>\n",
+ " <td id=\"T_9337e_row55_col1\" class=\"data row55 col1\" >3.67</td>\n",
+ " <td id=\"T_9337e_row55_col2\" class=\"data row55 col2\" >26.52</td>\n",
+ " <td id=\"T_9337e_row55_col3\" class=\"data row55 col3\" >3.80</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_26666_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_26666_row56_col0\" class=\"data row56 col0\" >5.92</td>\n",
- " <td id=\"T_26666_row56_col1\" class=\"data row56 col1\" >2.41</td>\n",
- " <td id=\"T_26666_row56_col2\" class=\"data row56 col2\" >11.37</td>\n",
- " <td id=\"T_26666_row56_col3\" class=\"data row56 col3\" >3.68</td>\n",
+ " <th id=\"T_9337e_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_9337e_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_9337e_row56_col0\" class=\"data row56 col0\" >5.92</td>\n",
+ " <td id=\"T_9337e_row56_col1\" class=\"data row56 col1\" >2.41</td>\n",
+ " <td id=\"T_9337e_row56_col2\" class=\"data row56 col2\" >11.37</td>\n",
+ " <td id=\"T_9337e_row56_col3\" class=\"data row56 col3\" >3.68</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_26666_row57_col0\" class=\"data row57 col0\" >29.87</td>\n",
- " <td id=\"T_26666_row57_col1\" class=\"data row57 col1\" >3.45</td>\n",
- " <td id=\"T_26666_row57_col2\" class=\"data row57 col2\" >28.26</td>\n",
- " <td id=\"T_26666_row57_col3\" class=\"data row57 col3\" >3.55</td>\n",
+ " <th id=\"T_9337e_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_9337e_row57_col0\" class=\"data row57 col0\" >29.87</td>\n",
+ " <td id=\"T_9337e_row57_col1\" class=\"data row57 col1\" >3.45</td>\n",
+ " <td id=\"T_9337e_row57_col2\" class=\"data row57 col2\" >28.26</td>\n",
+ " <td id=\"T_9337e_row57_col3\" class=\"data row57 col3\" >3.55</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_26666_row58_col0\" class=\"data row58 col0\" >29.94</td>\n",
- " <td id=\"T_26666_row58_col1\" class=\"data row58 col1\" >3.53</td>\n",
- " <td id=\"T_26666_row58_col2\" class=\"data row58 col2\" >28.33</td>\n",
- " <td id=\"T_26666_row58_col3\" class=\"data row58 col3\" >3.69</td>\n",
+ " <th id=\"T_9337e_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_9337e_row58_col0\" class=\"data row58 col0\" >29.94</td>\n",
+ " <td id=\"T_9337e_row58_col1\" class=\"data row58 col1\" >3.53</td>\n",
+ " <td id=\"T_9337e_row58_col2\" class=\"data row58 col2\" >28.33</td>\n",
+ " <td id=\"T_9337e_row58_col3\" class=\"data row58 col3\" >3.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_26666_row59_col0\" class=\"data row59 col0\" >30.48</td>\n",
- " <td id=\"T_26666_row59_col1\" class=\"data row59 col1\" >3.56</td>\n",
- " <td id=\"T_26666_row59_col2\" class=\"data row59 col2\" >27.41</td>\n",
- " <td id=\"T_26666_row59_col3\" class=\"data row59 col3\" >4.19</td>\n",
+ " <th id=\"T_9337e_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_9337e_row59_col0\" class=\"data row59 col0\" >30.48</td>\n",
+ " <td id=\"T_9337e_row59_col1\" class=\"data row59 col1\" >3.56</td>\n",
+ " <td id=\"T_9337e_row59_col2\" class=\"data row59 col2\" >27.41</td>\n",
+ " <td id=\"T_9337e_row59_col3\" class=\"data row59 col3\" >4.19</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_26666_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_26666_row60_col0\" class=\"data row60 col0\" >20.14</td>\n",
- " <td id=\"T_26666_row60_col1\" class=\"data row60 col1\" >2.59</td>\n",
- " <td id=\"T_26666_row60_col2\" class=\"data row60 col2\" >21.85</td>\n",
- " <td id=\"T_26666_row60_col3\" class=\"data row60 col3\" >3.05</td>\n",
+ " <th id=\"T_9337e_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_9337e_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_9337e_row60_col0\" class=\"data row60 col0\" >20.14</td>\n",
+ " <td id=\"T_9337e_row60_col1\" class=\"data row60 col1\" >2.59</td>\n",
+ " <td id=\"T_9337e_row60_col2\" class=\"data row60 col2\" >21.85</td>\n",
+ " <td id=\"T_9337e_row60_col3\" class=\"data row60 col3\" >3.05</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_26666_row61_col0\" class=\"data row61 col0\" >25.38</td>\n",
- " <td id=\"T_26666_row61_col1\" class=\"data row61 col1\" >2.86</td>\n",
- " <td id=\"T_26666_row61_col2\" class=\"data row61 col2\" >24.40</td>\n",
- " <td id=\"T_26666_row61_col3\" class=\"data row61 col3\" >3.28</td>\n",
+ " <th id=\"T_9337e_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_9337e_row61_col0\" class=\"data row61 col0\" >25.38</td>\n",
+ " <td id=\"T_9337e_row61_col1\" class=\"data row61 col1\" >2.86</td>\n",
+ " <td id=\"T_9337e_row61_col2\" class=\"data row61 col2\" >24.40</td>\n",
+ " <td id=\"T_9337e_row61_col3\" class=\"data row61 col3\" >3.28</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_26666_row62_col0\" class=\"data row62 col0\" >25.71</td>\n",
- " <td id=\"T_26666_row62_col1\" class=\"data row62 col1\" >2.98</td>\n",
- " <td id=\"T_26666_row62_col2\" class=\"data row62 col2\" >25.13</td>\n",
- " <td id=\"T_26666_row62_col3\" class=\"data row62 col3\" >3.63</td>\n",
+ " <th id=\"T_9337e_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_9337e_row62_col0\" class=\"data row62 col0\" >25.71</td>\n",
+ " <td id=\"T_9337e_row62_col1\" class=\"data row62 col1\" >2.98</td>\n",
+ " <td id=\"T_9337e_row62_col2\" class=\"data row62 col2\" >25.13</td>\n",
+ " <td id=\"T_9337e_row62_col3\" class=\"data row62 col3\" >3.63</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_26666_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_26666_row63_col0\" class=\"data row63 col0\" >25.01</td>\n",
- " <td id=\"T_26666_row63_col1\" class=\"data row63 col1\" >3.21</td>\n",
- " <td id=\"T_26666_row63_col2\" class=\"data row63 col2\" >24.10</td>\n",
- " <td id=\"T_26666_row63_col3\" class=\"data row63 col3\" >3.27</td>\n",
+ " <th id=\"T_9337e_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_9337e_row63_col0\" class=\"data row63 col0\" >25.01</td>\n",
+ " <td id=\"T_9337e_row63_col1\" class=\"data row63 col1\" >3.21</td>\n",
+ " <td id=\"T_9337e_row63_col2\" class=\"data row63 col2\" >24.10</td>\n",
+ " <td id=\"T_9337e_row63_col3\" class=\"data row63 col3\" >3.27</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0d5b510>"
+ "<pandas.io.formats.style.Styler at 0x76062f8b1890>"
]
},
"metadata": {},
@@ -5991,252 +5985,252 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_2dda3 td {\n",
+ "#T_52aa1 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_2dda3 th {\n",
+ "#T_52aa1 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_2dda3_row0_col0, #T_2dda3_row15_col0 {\n",
+ "#T_52aa1_row0_col0, #T_52aa1_row15_col0 {\n",
" background-color: #a4f8a4;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row0_col2, #T_2dda3_row15_col2 {\n",
+ "#T_52aa1_row0_col2, #T_52aa1_row15_col2 {\n",
" background-color: #bdf6bd;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row1_col0 {\n",
+ "#T_52aa1_row1_col0 {\n",
" background-color: #5cfc5c;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row1_col2 {\n",
+ "#T_52aa1_row1_col2 {\n",
" background-color: #67fc67;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row2_col0 {\n",
+ "#T_52aa1_row2_col0 {\n",
" background-color: #9ff89f;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row2_col2 {\n",
+ "#T_52aa1_row2_col2 {\n",
" background-color: #82fa82;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row3_col0 {\n",
+ "#T_52aa1_row3_col0 {\n",
" background-color: #69fc69;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row3_col2 {\n",
+ "#T_52aa1_row3_col2 {\n",
" background-color: #74fb74;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row4_col0 {\n",
+ "#T_52aa1_row4_col0 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row4_col2 {\n",
+ "#T_52aa1_row4_col2 {\n",
" background-color: #8df98d;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row5_col0 {\n",
+ "#T_52aa1_row5_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row5_col2 {\n",
+ "#T_52aa1_row5_col2 {\n",
" background-color: #6afb6a;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row6_col0, #T_2dda3_row10_col0 {\n",
+ "#T_52aa1_row6_col0, #T_52aa1_row10_col0 {\n",
" background-color: #4efd4e;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row6_col2 {\n",
+ "#T_52aa1_row6_col2 {\n",
" background-color: #39ff39;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row7_col0, #T_2dda3_row8_col0 {\n",
+ "#T_52aa1_row7_col0, #T_52aa1_row8_col0 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row7_col2, #T_2dda3_row13_col0 {\n",
+ "#T_52aa1_row7_col2, #T_52aa1_row13_col0 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row8_col2, #T_2dda3_row10_col2 {\n",
+ "#T_52aa1_row8_col2, #T_52aa1_row10_col2 {\n",
" background-color: #bbf6bb;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row9_col0, #T_2dda3_row14_col2 {\n",
+ "#T_52aa1_row9_col0, #T_52aa1_row14_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row9_col2 {\n",
+ "#T_52aa1_row9_col2 {\n",
" background-color: #b5f6b5;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row11_col0 {\n",
+ "#T_52aa1_row11_col0 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row11_col2 {\n",
+ "#T_52aa1_row11_col2 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row12_col0 {\n",
+ "#T_52aa1_row12_col0 {\n",
" background-color: #c2f6c2;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row12_col2 {\n",
+ "#T_52aa1_row12_col2 {\n",
" background-color: #8ff98f;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row13_col2 {\n",
+ "#T_52aa1_row13_col2 {\n",
" background-color: #4cfd4c;\n",
" color: #000000;\n",
"}\n",
- "#T_2dda3_row14_col0 {\n",
+ "#T_52aa1_row14_col0 {\n",
" background-color: #b1f7b1;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_2dda3\">\n",
+ "<table id=\"T_52aa1\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_2dda3_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " <th id=\"T_52aa1_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_2dda3_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
- " <th id=\"T_2dda3_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_52aa1_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_52aa1_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_2dda3_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
- " <th id=\"T_2dda3_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_2dda3_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
- " <th id=\"T_2dda3_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_52aa1_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_52aa1_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_52aa1_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_52aa1_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_2dda3_row0_col0\" class=\"data row0 col0\" >96.24</td>\n",
- " <td id=\"T_2dda3_row0_col1\" class=\"data row0 col1\" >1.89</td>\n",
- " <td id=\"T_2dda3_row0_col2\" class=\"data row0 col2\" >95.48</td>\n",
- " <td id=\"T_2dda3_row0_col3\" class=\"data row0 col3\" >2.35</td>\n",
+ " <th id=\"T_52aa1_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_52aa1_row0_col0\" class=\"data row0 col0\" >96.24</td>\n",
+ " <td id=\"T_52aa1_row0_col1\" class=\"data row0 col1\" >1.89</td>\n",
+ " <td id=\"T_52aa1_row0_col2\" class=\"data row0 col2\" >95.48</td>\n",
+ " <td id=\"T_52aa1_row0_col3\" class=\"data row0 col3\" >2.35</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_2dda3_row1_col0\" class=\"data row1 col0\" >96.34</td>\n",
- " <td id=\"T_2dda3_row1_col1\" class=\"data row1 col1\" >1.90</td>\n",
- " <td id=\"T_2dda3_row1_col2\" class=\"data row1 col2\" >95.68</td>\n",
- " <td id=\"T_2dda3_row1_col3\" class=\"data row1 col3\" >2.50</td>\n",
+ " <th id=\"T_52aa1_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_52aa1_row1_col0\" class=\"data row1 col0\" >96.34</td>\n",
+ " <td id=\"T_52aa1_row1_col1\" class=\"data row1 col1\" >1.90</td>\n",
+ " <td id=\"T_52aa1_row1_col2\" class=\"data row1 col2\" >95.68</td>\n",
+ " <td id=\"T_52aa1_row1_col3\" class=\"data row1 col3\" >2.50</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_2dda3_row2_col0\" class=\"data row2 col0\" >96.25</td>\n",
- " <td id=\"T_2dda3_row2_col1\" class=\"data row2 col1\" >2.07</td>\n",
- " <td id=\"T_2dda3_row2_col2\" class=\"data row2 col2\" >95.62</td>\n",
- " <td id=\"T_2dda3_row2_col3\" class=\"data row2 col3\" >2.40</td>\n",
+ " <th id=\"T_52aa1_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_52aa1_row2_col0\" class=\"data row2 col0\" >96.25</td>\n",
+ " <td id=\"T_52aa1_row2_col1\" class=\"data row2 col1\" >2.07</td>\n",
+ " <td id=\"T_52aa1_row2_col2\" class=\"data row2 col2\" >95.62</td>\n",
+ " <td id=\"T_52aa1_row2_col3\" class=\"data row2 col3\" >2.40</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_2dda3_row3_col0\" class=\"data row3 col0\" >96.32</td>\n",
- " <td id=\"T_2dda3_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
- " <td id=\"T_2dda3_row3_col2\" class=\"data row3 col2\" >95.65</td>\n",
- " <td id=\"T_2dda3_row3_col3\" class=\"data row3 col3\" >2.47</td>\n",
+ " <th id=\"T_52aa1_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_52aa1_row3_col0\" class=\"data row3 col0\" >96.32</td>\n",
+ " <td id=\"T_52aa1_row3_col1\" class=\"data row3 col1\" >2.00</td>\n",
+ " <td id=\"T_52aa1_row3_col2\" class=\"data row3 col2\" >95.65</td>\n",
+ " <td id=\"T_52aa1_row3_col3\" class=\"data row3 col3\" >2.47</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_2dda3_row4_col0\" class=\"data row4 col0\" >96.26</td>\n",
- " <td id=\"T_2dda3_row4_col1\" class=\"data row4 col1\" >1.92</td>\n",
- " <td id=\"T_2dda3_row4_col2\" class=\"data row4 col2\" >95.59</td>\n",
- " <td id=\"T_2dda3_row4_col3\" class=\"data row4 col3\" >2.39</td>\n",
+ " <th id=\"T_52aa1_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_52aa1_row4_col0\" class=\"data row4 col0\" >96.26</td>\n",
+ " <td id=\"T_52aa1_row4_col1\" class=\"data row4 col1\" >1.92</td>\n",
+ " <td id=\"T_52aa1_row4_col2\" class=\"data row4 col2\" >95.59</td>\n",
+ " <td id=\"T_52aa1_row4_col3\" class=\"data row4 col3\" >2.39</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_2dda3_row5_col0\" class=\"data row5 col0\" >96.17</td>\n",
- " <td id=\"T_2dda3_row5_col1\" class=\"data row5 col1\" >1.92</td>\n",
- " <td id=\"T_2dda3_row5_col2\" class=\"data row5 col2\" >95.67</td>\n",
- " <td id=\"T_2dda3_row5_col3\" class=\"data row5 col3\" >2.19</td>\n",
+ " <th id=\"T_52aa1_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_52aa1_row5_col0\" class=\"data row5 col0\" >96.17</td>\n",
+ " <td id=\"T_52aa1_row5_col1\" class=\"data row5 col1\" >1.92</td>\n",
+ " <td id=\"T_52aa1_row5_col2\" class=\"data row5 col2\" >95.67</td>\n",
+ " <td id=\"T_52aa1_row5_col3\" class=\"data row5 col3\" >2.19</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_2dda3_row6_col0\" class=\"data row6 col0\" >96.36</td>\n",
- " <td id=\"T_2dda3_row6_col1\" class=\"data row6 col1\" >1.89</td>\n",
- " <td id=\"T_2dda3_row6_col2\" class=\"data row6 col2\" >95.79</td>\n",
- " <td id=\"T_2dda3_row6_col3\" class=\"data row6 col3\" >2.38</td>\n",
+ " <th id=\"T_52aa1_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_52aa1_row6_col0\" class=\"data row6 col0\" >96.36</td>\n",
+ " <td id=\"T_52aa1_row6_col1\" class=\"data row6 col1\" >1.89</td>\n",
+ " <td id=\"T_52aa1_row6_col2\" class=\"data row6 col2\" >95.79</td>\n",
+ " <td id=\"T_52aa1_row6_col3\" class=\"data row6 col3\" >2.38</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_2dda3_row7_col0\" class=\"data row7 col0\" >96.30</td>\n",
- " <td id=\"T_2dda3_row7_col1\" class=\"data row7 col1\" >1.86</td>\n",
- " <td id=\"T_2dda3_row7_col2\" class=\"data row7 col2\" >95.80</td>\n",
- " <td id=\"T_2dda3_row7_col3\" class=\"data row7 col3\" >2.38</td>\n",
+ " <th id=\"T_52aa1_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_52aa1_row7_col0\" class=\"data row7 col0\" >96.30</td>\n",
+ " <td id=\"T_52aa1_row7_col1\" class=\"data row7 col1\" >1.86</td>\n",
+ " <td id=\"T_52aa1_row7_col2\" class=\"data row7 col2\" >95.80</td>\n",
+ " <td id=\"T_52aa1_row7_col3\" class=\"data row7 col3\" >2.38</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_2dda3_row8_col0\" class=\"data row8 col0\" >96.30</td>\n",
- " <td id=\"T_2dda3_row8_col1\" class=\"data row8 col1\" >1.95</td>\n",
- " <td id=\"T_2dda3_row8_col2\" class=\"data row8 col2\" >95.48</td>\n",
- " <td id=\"T_2dda3_row8_col3\" class=\"data row8 col3\" >2.27</td>\n",
+ " <th id=\"T_52aa1_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_52aa1_row8_col0\" class=\"data row8 col0\" >96.30</td>\n",
+ " <td id=\"T_52aa1_row8_col1\" class=\"data row8 col1\" >1.95</td>\n",
+ " <td id=\"T_52aa1_row8_col2\" class=\"data row8 col2\" >95.48</td>\n",
+ " <td id=\"T_52aa1_row8_col3\" class=\"data row8 col3\" >2.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_2dda3_row9_col0\" class=\"data row9 col0\" >96.14</td>\n",
- " <td id=\"T_2dda3_row9_col1\" class=\"data row9 col1\" >1.93</td>\n",
- " <td id=\"T_2dda3_row9_col2\" class=\"data row9 col2\" >95.50</td>\n",
- " <td id=\"T_2dda3_row9_col3\" class=\"data row9 col3\" >2.49</td>\n",
+ " <th id=\"T_52aa1_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_52aa1_row9_col0\" class=\"data row9 col0\" >96.14</td>\n",
+ " <td id=\"T_52aa1_row9_col1\" class=\"data row9 col1\" >1.93</td>\n",
+ " <td id=\"T_52aa1_row9_col2\" class=\"data row9 col2\" >95.50</td>\n",
+ " <td id=\"T_52aa1_row9_col3\" class=\"data row9 col3\" >2.49</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_2dda3_row10_col0\" class=\"data row10 col0\" >96.36</td>\n",
- " <td id=\"T_2dda3_row10_col1\" class=\"data row10 col1\" >1.96</td>\n",
- " <td id=\"T_2dda3_row10_col2\" class=\"data row10 col2\" >95.48</td>\n",
- " <td id=\"T_2dda3_row10_col3\" class=\"data row10 col3\" >2.34</td>\n",
+ " <th id=\"T_52aa1_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_52aa1_row10_col0\" class=\"data row10 col0\" >96.36</td>\n",
+ " <td id=\"T_52aa1_row10_col1\" class=\"data row10 col1\" >1.96</td>\n",
+ " <td id=\"T_52aa1_row10_col2\" class=\"data row10 col2\" >95.48</td>\n",
+ " <td id=\"T_52aa1_row10_col3\" class=\"data row10 col3\" >2.34</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_2dda3_row11_col0\" class=\"data row11 col0\" >96.28</td>\n",
- " <td id=\"T_2dda3_row11_col1\" class=\"data row11 col1\" >1.88</td>\n",
- " <td id=\"T_2dda3_row11_col2\" class=\"data row11 col2\" >95.43</td>\n",
- " <td id=\"T_2dda3_row11_col3\" class=\"data row11 col3\" >2.34</td>\n",
+ " <th id=\"T_52aa1_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_52aa1_row11_col0\" class=\"data row11 col0\" >96.28</td>\n",
+ " <td id=\"T_52aa1_row11_col1\" class=\"data row11 col1\" >1.88</td>\n",
+ " <td id=\"T_52aa1_row11_col2\" class=\"data row11 col2\" >95.43</td>\n",
+ " <td id=\"T_52aa1_row11_col3\" class=\"data row11 col3\" >2.34</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_2dda3_row12_col0\" class=\"data row12 col0\" >96.19</td>\n",
- " <td id=\"T_2dda3_row12_col1\" class=\"data row12 col1\" >2.07</td>\n",
- " <td id=\"T_2dda3_row12_col2\" class=\"data row12 col2\" >95.58</td>\n",
- " <td id=\"T_2dda3_row12_col3\" class=\"data row12 col3\" >2.38</td>\n",
+ " <th id=\"T_52aa1_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_52aa1_row12_col0\" class=\"data row12 col0\" >96.19</td>\n",
+ " <td id=\"T_52aa1_row12_col1\" class=\"data row12 col1\" >2.07</td>\n",
+ " <td id=\"T_52aa1_row12_col2\" class=\"data row12 col2\" >95.58</td>\n",
+ " <td id=\"T_52aa1_row12_col3\" class=\"data row12 col3\" >2.38</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_2dda3_row13_col0\" class=\"data row13 col0\" >96.40</td>\n",
- " <td id=\"T_2dda3_row13_col1\" class=\"data row13 col1\" >1.92</td>\n",
- " <td id=\"T_2dda3_row13_col2\" class=\"data row13 col2\" >95.74</td>\n",
- " <td id=\"T_2dda3_row13_col3\" class=\"data row13 col3\" >2.30</td>\n",
+ " <th id=\"T_52aa1_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_52aa1_row13_col0\" class=\"data row13 col0\" >96.40</td>\n",
+ " <td id=\"T_52aa1_row13_col1\" class=\"data row13 col1\" >1.92</td>\n",
+ " <td id=\"T_52aa1_row13_col2\" class=\"data row13 col2\" >95.74</td>\n",
+ " <td id=\"T_52aa1_row13_col3\" class=\"data row13 col3\" >2.30</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_2dda3_row14_col0\" class=\"data row14 col0\" >96.22</td>\n",
- " <td id=\"T_2dda3_row14_col1\" class=\"data row14 col1\" >1.95</td>\n",
- " <td id=\"T_2dda3_row14_col2\" class=\"data row14 col2\" >95.37</td>\n",
- " <td id=\"T_2dda3_row14_col3\" class=\"data row14 col3\" >2.14</td>\n",
+ " <th id=\"T_52aa1_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_52aa1_row14_col0\" class=\"data row14 col0\" >96.22</td>\n",
+ " <td id=\"T_52aa1_row14_col1\" class=\"data row14 col1\" >1.95</td>\n",
+ " <td id=\"T_52aa1_row14_col2\" class=\"data row14 col2\" >95.37</td>\n",
+ " <td id=\"T_52aa1_row14_col3\" class=\"data row14 col3\" >2.14</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_2dda3_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_2dda3_row15_col0\" class=\"data row15 col0\" >96.24</td>\n",
- " <td id=\"T_2dda3_row15_col1\" class=\"data row15 col1\" >1.89</td>\n",
- " <td id=\"T_2dda3_row15_col2\" class=\"data row15 col2\" >95.48</td>\n",
- " <td id=\"T_2dda3_row15_col3\" class=\"data row15 col3\" >2.35</td>\n",
+ " <th id=\"T_52aa1_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_52aa1_row15_col0\" class=\"data row15 col0\" >96.24</td>\n",
+ " <td id=\"T_52aa1_row15_col1\" class=\"data row15 col1\" >1.89</td>\n",
+ " <td id=\"T_52aa1_row15_col2\" class=\"data row15 col2\" >95.48</td>\n",
+ " <td id=\"T_52aa1_row15_col3\" class=\"data row15 col3\" >2.35</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a32943d0>"
+ "<pandas.io.formats.style.Styler at 0x760630c5c450>"
]
},
"metadata": {},
@@ -6249,1118 +6243,1118 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_ebc63 td {\n",
+ "#T_f4ed6 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ebc63 th {\n",
+ "#T_f4ed6 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ebc63_row0_col0, #T_ebc63_row60_col0 {\n",
+ "#T_f4ed6_row0_col0, #T_f4ed6_row60_col0 {\n",
" background-color: #39ff39;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row0_col2, #T_ebc63_row3_col0, #T_ebc63_row3_col2, #T_ebc63_row60_col2, #T_ebc63_row63_col0, #T_ebc63_row63_col2 {\n",
+ "#T_f4ed6_row0_col2, #T_f4ed6_row3_col0, #T_f4ed6_row3_col2, #T_f4ed6_row60_col2, #T_f4ed6_row63_col0, #T_f4ed6_row63_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row0_col4, #T_ebc63_row60_col4 {\n",
+ "#T_f4ed6_row0_col4, #T_f4ed6_row60_col4 {\n",
" background-color: #f4dddd;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row1_col0, #T_ebc63_row61_col0 {\n",
+ "#T_f4ed6_row1_col0, #T_f4ed6_row61_col0 {\n",
" background-color: #36ff36;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row1_col2, #T_ebc63_row2_col0, #T_ebc63_row61_col2, #T_ebc63_row62_col0 {\n",
+ "#T_f4ed6_row1_col2, #T_f4ed6_row2_col0, #T_f4ed6_row61_col2, #T_f4ed6_row62_col0 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row1_col4, #T_ebc63_row61_col4 {\n",
+ "#T_f4ed6_row1_col4, #T_f4ed6_row61_col4 {\n",
" background-color: #f5cbcb;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row2_col2, #T_ebc63_row62_col2 {\n",
+ "#T_f4ed6_row2_col2, #T_f4ed6_row62_col2 {\n",
" background-color: #3bff3b;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row2_col4, #T_ebc63_row5_col4, #T_ebc63_row62_col4 {\n",
+ "#T_f4ed6_row2_col4, #T_f4ed6_row5_col4, #T_f4ed6_row62_col4 {\n",
" background-color: #f5c9c9;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row3_col4, #T_ebc63_row15_col4, #T_ebc63_row63_col4 {\n",
+ "#T_f4ed6_row3_col4, #T_f4ed6_row15_col4, #T_f4ed6_row63_col4 {\n",
" background-color: #f4d6d6;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row4_col0 {\n",
+ "#T_f4ed6_row4_col0 {\n",
" background-color: #bef6be;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row4_col2 {\n",
+ "#T_f4ed6_row4_col2 {\n",
" background-color: #a3f8a3;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row4_col4 {\n",
+ "#T_f4ed6_row4_col4 {\n",
" background-color: #fc3939;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row5_col0 {\n",
+ "#T_f4ed6_row5_col0 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row5_col2 {\n",
+ "#T_f4ed6_row5_col2 {\n",
" background-color: #51fd51;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row6_col0 {\n",
+ "#T_f4ed6_row6_col0 {\n",
" background-color: #73fb73;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row6_col2, #T_ebc63_row40_col2 {\n",
+ "#T_f4ed6_row6_col2, #T_f4ed6_row40_col2 {\n",
" background-color: #47fe47;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row6_col4 {\n",
+ "#T_f4ed6_row6_col4 {\n",
" background-color: #f5c8c8;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row7_col0 {\n",
+ "#T_f4ed6_row7_col0 {\n",
" background-color: #72fb72;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row7_col2, #T_ebc63_row15_col2, #T_ebc63_row20_col2, #T_ebc63_row24_col2, #T_ebc63_row46_col0, #T_ebc63_row50_col2 {\n",
+ "#T_f4ed6_row7_col2, #T_f4ed6_row15_col2, #T_f4ed6_row20_col2, #T_f4ed6_row24_col2, #T_f4ed6_row46_col0, #T_f4ed6_row50_col2 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row7_col4, #T_ebc63_row11_col4 {\n",
+ "#T_f4ed6_row7_col4, #T_f4ed6_row11_col4 {\n",
" background-color: #f4d7d7;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row8_col0, #T_ebc63_row33_col0, #T_ebc63_row39_col0, #T_ebc63_row47_col0 {\n",
+ "#T_f4ed6_row8_col0, #T_f4ed6_row33_col0, #T_f4ed6_row39_col0, #T_f4ed6_row47_col0 {\n",
" background-color: #8bf98b;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row8_col2 {\n",
+ "#T_f4ed6_row8_col2 {\n",
" background-color: #3aff3a;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row8_col4 {\n",
+ "#T_f4ed6_row8_col4 {\n",
" background-color: #f3e9e9;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row9_col0 {\n",
+ "#T_f4ed6_row9_col0 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row9_col2, #T_ebc63_row19_col0 {\n",
+ "#T_f4ed6_row9_col2, #T_f4ed6_row19_col0 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row9_col4 {\n",
+ "#T_f4ed6_row9_col4 {\n",
" background-color: #ff0808;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row10_col0, #T_ebc63_row22_col0, #T_ebc63_row31_col2, #T_ebc63_row37_col2 {\n",
+ "#T_f4ed6_row10_col0, #T_f4ed6_row22_col0, #T_f4ed6_row31_col2, #T_f4ed6_row37_col2 {\n",
" background-color: #74fb74;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row10_col2, #T_ebc63_row44_col0, #T_ebc63_row56_col2 {\n",
+ "#T_f4ed6_row10_col2, #T_f4ed6_row44_col0, #T_f4ed6_row56_col2 {\n",
" background-color: #4cfd4c;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row10_col4, #T_ebc63_row17_col4, #T_ebc63_row29_col4 {\n",
+ "#T_f4ed6_row10_col4, #T_f4ed6_row17_col4, #T_f4ed6_row29_col4 {\n",
" background-color: #f5c6c6;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row11_col0 {\n",
+ "#T_f4ed6_row11_col0 {\n",
" background-color: #80fa80;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row11_col2, #T_ebc63_row16_col2, #T_ebc63_row35_col2, #T_ebc63_row47_col2, #T_ebc63_row52_col2, #T_ebc63_row57_col2 {\n",
+ "#T_f4ed6_row11_col2, #T_f4ed6_row16_col2, #T_f4ed6_row35_col2, #T_f4ed6_row47_col2, #T_f4ed6_row52_col2, #T_f4ed6_row57_col2 {\n",
" background-color: #49fe49;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row12_col0, #T_ebc63_row27_col0 {\n",
+ "#T_f4ed6_row12_col0, #T_f4ed6_row27_col0 {\n",
" background-color: #7cfa7c;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row12_col2, #T_ebc63_row48_col0, #T_ebc63_row55_col2 {\n",
+ "#T_f4ed6_row12_col2, #T_f4ed6_row48_col0, #T_f4ed6_row55_col2 {\n",
" background-color: #4efd4e;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row12_col4 {\n",
+ "#T_f4ed6_row12_col4 {\n",
" background-color: #f4e1e1;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row13_col0, #T_ebc63_row23_col0, #T_ebc63_row26_col0, #T_ebc63_row41_col0 {\n",
+ "#T_f4ed6_row13_col0, #T_f4ed6_row23_col0, #T_f4ed6_row26_col0, #T_f4ed6_row41_col0 {\n",
" background-color: #8df98d;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row13_col2 {\n",
+ "#T_f4ed6_row13_col2 {\n",
" background-color: #55fd55;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row13_col4, #T_ebc63_row38_col4 {\n",
+ "#T_f4ed6_row13_col4, #T_f4ed6_row38_col4 {\n",
" background-color: #f5caca;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row14_col0 {\n",
+ "#T_f4ed6_row14_col0 {\n",
" background-color: #ddf4dd;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row14_col2 {\n",
+ "#T_f4ed6_row14_col2 {\n",
" background-color: #cdf5cd;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row14_col4 {\n",
+ "#T_f4ed6_row14_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row15_col0 {\n",
+ "#T_f4ed6_row15_col0 {\n",
" background-color: #7bfa7b;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row16_col0 {\n",
+ "#T_f4ed6_row16_col0 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row16_col4, #T_ebc63_row40_col4, #T_ebc63_row47_col4 {\n",
+ "#T_f4ed6_row16_col4, #T_f4ed6_row40_col4, #T_f4ed6_row47_col4 {\n",
" background-color: #f3e6e6;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row17_col0, #T_ebc63_row53_col0 {\n",
+ "#T_f4ed6_row17_col0, #T_f4ed6_row53_col0 {\n",
" background-color: #94f994;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row17_col2 {\n",
+ "#T_f4ed6_row17_col2 {\n",
" background-color: #53fd53;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row18_col0 {\n",
+ "#T_f4ed6_row18_col0 {\n",
" background-color: #6dfb6d;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row18_col2, #T_ebc63_row30_col2, #T_ebc63_row38_col2, #T_ebc63_row49_col2 {\n",
+ "#T_f4ed6_row18_col2, #T_f4ed6_row30_col2, #T_f4ed6_row38_col2, #T_f4ed6_row49_col2 {\n",
" background-color: #50fd50;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row18_col4 {\n",
+ "#T_f4ed6_row18_col4 {\n",
" background-color: #f5c8c7;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row19_col2 {\n",
+ "#T_f4ed6_row19_col2 {\n",
" background-color: #cef5ce;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row19_col4 {\n",
+ "#T_f4ed6_row19_col4 {\n",
" background-color: #fe1616;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row20_col0, #T_ebc63_row21_col2, #T_ebc63_row40_col0 {\n",
+ "#T_f4ed6_row20_col0, #T_f4ed6_row21_col2, #T_f4ed6_row40_col0 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row20_col4 {\n",
+ "#T_f4ed6_row20_col4 {\n",
" background-color: #f89191;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row21_col0 {\n",
+ "#T_f4ed6_row21_col0 {\n",
" background-color: #9df89c;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row21_col4 {\n",
+ "#T_f4ed6_row21_col4 {\n",
" background-color: #fb5454;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row22_col2, #T_ebc63_row43_col2 {\n",
+ "#T_f4ed6_row22_col2, #T_f4ed6_row43_col2 {\n",
" background-color: #62fc62;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row22_col4 {\n",
+ "#T_f4ed6_row22_col4 {\n",
" background-color: #f5cdcd;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row23_col2, #T_ebc63_row51_col2, #T_ebc63_row54_col2, #T_ebc63_row58_col2 {\n",
+ "#T_f4ed6_row23_col2, #T_f4ed6_row51_col2, #T_f4ed6_row54_col2, #T_f4ed6_row58_col2 {\n",
" background-color: #44fe44;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row23_col4 {\n",
+ "#T_f4ed6_row23_col4 {\n",
" background-color: #f4dada;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row24_col0 {\n",
+ "#T_f4ed6_row24_col0 {\n",
" background-color: #86fa86;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row24_col4 {\n",
+ "#T_f4ed6_row24_col4 {\n",
" background-color: #f88f8f;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row25_col0 {\n",
+ "#T_f4ed6_row25_col0 {\n",
" background-color: #85fa85;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row25_col2 {\n",
+ "#T_f4ed6_row25_col2 {\n",
" background-color: #60fc60;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row25_col4, #T_ebc63_row50_col4 {\n",
+ "#T_f4ed6_row25_col4, #T_f4ed6_row50_col4 {\n",
" background-color: #f5cccc;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row26_col2 {\n",
+ "#T_f4ed6_row26_col2 {\n",
" background-color: #66fc66;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row26_col4 {\n",
+ "#T_f4ed6_row26_col4 {\n",
" background-color: #fb5858;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row27_col2, #T_ebc63_row44_col2 {\n",
+ "#T_f4ed6_row27_col2, #T_f4ed6_row44_col2 {\n",
" background-color: #41fe41;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row27_col4 {\n",
+ "#T_f4ed6_row27_col4 {\n",
" background-color: #f4d8d8;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row28_col0 {\n",
+ "#T_f4ed6_row28_col0 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row28_col2, #T_ebc63_row42_col2, #T_ebc63_row45_col0 {\n",
+ "#T_f4ed6_row28_col2, #T_f4ed6_row42_col2, #T_f4ed6_row45_col0 {\n",
" background-color: #5efc5e;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row28_col4 {\n",
+ "#T_f4ed6_row28_col4 {\n",
" background-color: #f89090;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row29_col0 {\n",
+ "#T_f4ed6_row29_col0 {\n",
" background-color: #81fa81;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row29_col2, #T_ebc63_row55_col0 {\n",
+ "#T_f4ed6_row29_col2, #T_f4ed6_row55_col0 {\n",
" background-color: #5dfc5d;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row30_col0 {\n",
+ "#T_f4ed6_row30_col0 {\n",
" background-color: #76fb76;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row30_col4 {\n",
+ "#T_f4ed6_row30_col4 {\n",
" background-color: #f4d2d2;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row31_col0, #T_ebc63_row34_col0 {\n",
+ "#T_f4ed6_row31_col0, #T_f4ed6_row34_col0 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row31_col4 {\n",
+ "#T_f4ed6_row31_col4 {\n",
" background-color: #f97070;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row32_col0, #T_ebc63_row38_col0, #T_ebc63_row56_col0 {\n",
+ "#T_f4ed6_row32_col0, #T_f4ed6_row38_col0, #T_f4ed6_row56_col0 {\n",
" background-color: #79fa79;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row32_col2 {\n",
+ "#T_f4ed6_row32_col2 {\n",
" background-color: #48fe48;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row32_col4, #T_ebc63_row36_col4 {\n",
+ "#T_f4ed6_row32_col4, #T_f4ed6_row36_col4 {\n",
" background-color: #f3efef;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row33_col2 {\n",
+ "#T_f4ed6_row33_col2 {\n",
" background-color: #68fc68;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row33_col4 {\n",
+ "#T_f4ed6_row33_col4 {\n",
" background-color: #fa6c6c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row34_col2 {\n",
+ "#T_f4ed6_row34_col2 {\n",
" background-color: #6bfb6b;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row34_col4 {\n",
+ "#T_f4ed6_row34_col4 {\n",
" background-color: #fa6262;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row35_col0 {\n",
+ "#T_f4ed6_row35_col0 {\n",
" background-color: #84fa84;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row35_col4 {\n",
+ "#T_f4ed6_row35_col4 {\n",
" background-color: #f4e2e2;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row36_col0 {\n",
+ "#T_f4ed6_row36_col0 {\n",
" background-color: #7dfa7d;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row36_col2 {\n",
+ "#T_f4ed6_row36_col2 {\n",
" background-color: #3ffe3f;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row37_col0, #T_ebc63_row42_col0, #T_ebc63_row43_col0 {\n",
+ "#T_f4ed6_row37_col0, #T_f4ed6_row42_col0, #T_f4ed6_row43_col0 {\n",
" background-color: #95f995;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row37_col4 {\n",
+ "#T_f4ed6_row37_col4 {\n",
" background-color: #f96d6d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row39_col2 {\n",
+ "#T_f4ed6_row39_col2 {\n",
" background-color: #67fc67;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row39_col4 {\n",
+ "#T_f4ed6_row39_col4 {\n",
" background-color: #f98080;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row41_col2, #T_ebc63_row58_col0 {\n",
+ "#T_f4ed6_row41_col2, #T_f4ed6_row58_col0 {\n",
" background-color: #5ffc5f;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row41_col4 {\n",
+ "#T_f4ed6_row41_col4 {\n",
" background-color: #f4d4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row42_col4 {\n",
+ "#T_f4ed6_row42_col4 {\n",
" background-color: #fa6767;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row43_col4 {\n",
+ "#T_f4ed6_row43_col4 {\n",
" background-color: #f97a7a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ebc63_row44_col4 {\n",
+ "#T_f4ed6_row44_col4 {\n",
" background-color: #f5bcbc;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row45_col2 {\n",
+ "#T_f4ed6_row45_col2 {\n",
" background-color: #4afe4a;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row45_col4, #T_ebc63_row58_col4 {\n",
+ "#T_f4ed6_row45_col4, #T_f4ed6_row58_col4 {\n",
" background-color: #f7a0a0;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row46_col2, #T_ebc63_row59_col2 {\n",
+ "#T_f4ed6_row46_col2, #T_f4ed6_row59_col2 {\n",
" background-color: #45fe45;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row46_col4 {\n",
+ "#T_f4ed6_row46_col4 {\n",
" background-color: #f79898;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row48_col2 {\n",
+ "#T_f4ed6_row48_col2 {\n",
" background-color: #3efe3e;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row48_col4 {\n",
+ "#T_f4ed6_row48_col4 {\n",
" background-color: #f5c1c1;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row49_col0 {\n",
+ "#T_f4ed6_row49_col0 {\n",
" background-color: #69fc69;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row49_col4 {\n",
+ "#T_f4ed6_row49_col4 {\n",
" background-color: #f79696;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row50_col0 {\n",
+ "#T_f4ed6_row50_col0 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row51_col0 {\n",
+ "#T_f4ed6_row51_col0 {\n",
" background-color: #5cfc5c;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row51_col4 {\n",
+ "#T_f4ed6_row51_col4 {\n",
" background-color: #f6b2b2;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row52_col0 {\n",
+ "#T_f4ed6_row52_col0 {\n",
" background-color: #4ffd4f;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row52_col4 {\n",
+ "#T_f4ed6_row52_col4 {\n",
" background-color: #f5c2c2;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row53_col2, #T_ebc63_row57_col0 {\n",
+ "#T_f4ed6_row53_col2, #T_f4ed6_row57_col0 {\n",
" background-color: #63fc63;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row53_col4 {\n",
+ "#T_f4ed6_row53_col4 {\n",
" background-color: #f4cfcf;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row54_col0 {\n",
+ "#T_f4ed6_row54_col0 {\n",
" background-color: #56fd56;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row54_col4 {\n",
+ "#T_f4ed6_row54_col4 {\n",
" background-color: #f79897;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row55_col4 {\n",
+ "#T_f4ed6_row55_col4 {\n",
" background-color: #f6b4b4;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row56_col4 {\n",
+ "#T_f4ed6_row56_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row57_col4 {\n",
+ "#T_f4ed6_row57_col4 {\n",
" background-color: #f6a9a9;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row59_col0 {\n",
+ "#T_f4ed6_row59_col0 {\n",
" background-color: #5bfc5b;\n",
" color: #000000;\n",
"}\n",
- "#T_ebc63_row59_col4 {\n",
+ "#T_f4ed6_row59_col4 {\n",
" background-color: #f6b9b9;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_ebc63\">\n",
+ "<table id=\"T_f4ed6\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_ebc63_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
- " <th id=\"T_ebc63_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " <th id=\"T_f4ed6_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_f4ed6_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_ebc63_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_ebc63_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_ebc63_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_f4ed6_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_f4ed6_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_f4ed6_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_ebc63_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_ebc63_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
- " <th id=\"T_ebc63_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_ebc63_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
- " <th id=\"T_ebc63_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_ebc63_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " <th id=\"T_f4ed6_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_f4ed6_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_f4ed6_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_f4ed6_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_f4ed6_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_f4ed6_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_ebc63_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_ebc63_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_ebc63_row0_col0\" class=\"data row0 col0\" >96.86</td>\n",
- " <td id=\"T_ebc63_row0_col1\" class=\"data row0 col1\" >2.51</td>\n",
- " <td id=\"T_ebc63_row0_col2\" class=\"data row0 col2\" >99.75</td>\n",
- " <td id=\"T_ebc63_row0_col3\" class=\"data row0 col3\" >1.14</td>\n",
- " <td id=\"T_ebc63_row0_col4\" class=\"data row0 col4\" >1.19</td>\n",
- " <td id=\"T_ebc63_row0_col5\" class=\"data row0 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_ebc63_row1_col0\" class=\"data row1 col0\" >96.98</td>\n",
- " <td id=\"T_ebc63_row1_col1\" class=\"data row1 col1\" >2.20</td>\n",
- " <td id=\"T_ebc63_row1_col2\" class=\"data row1 col2\" >99.41</td>\n",
- " <td id=\"T_ebc63_row1_col3\" class=\"data row1 col3\" >1.69</td>\n",
- " <td id=\"T_ebc63_row1_col4\" class=\"data row1 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row1_col5\" class=\"data row1 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_ebc63_row2_col0\" class=\"data row2 col0\" >96.71</td>\n",
- " <td id=\"T_ebc63_row2_col1\" class=\"data row2 col1\" >2.42</td>\n",
- " <td id=\"T_ebc63_row2_col2\" class=\"data row2 col2\" >99.48</td>\n",
- " <td id=\"T_ebc63_row2_col3\" class=\"data row2 col3\" >1.67</td>\n",
- " <td id=\"T_ebc63_row2_col4\" class=\"data row2 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_ebc63_row3_col0\" class=\"data row3 col0\" >97.10</td>\n",
- " <td id=\"T_ebc63_row3_col1\" class=\"data row3 col1\" >2.44</td>\n",
- " <td id=\"T_ebc63_row3_col2\" class=\"data row3 col2\" >99.78</td>\n",
- " <td id=\"T_ebc63_row3_col3\" class=\"data row3 col3\" >0.90</td>\n",
- " <td id=\"T_ebc63_row3_col4\" class=\"data row3 col4\" >1.22</td>\n",
- " <td id=\"T_ebc63_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_ebc63_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_ebc63_row4_col0\" class=\"data row4 col0\" >90.94</td>\n",
- " <td id=\"T_ebc63_row4_col1\" class=\"data row4 col1\" >3.31</td>\n",
- " <td id=\"T_ebc63_row4_col2\" class=\"data row4 col2\" >95.10</td>\n",
- " <td id=\"T_ebc63_row4_col3\" class=\"data row4 col3\" >3.43</td>\n",
- " <td id=\"T_ebc63_row4_col4\" class=\"data row4 col4\" >1.78</td>\n",
- " <td id=\"T_ebc63_row4_col5\" class=\"data row4 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_ebc63_row5_col0\" class=\"data row5 col0\" >94.10</td>\n",
- " <td id=\"T_ebc63_row5_col1\" class=\"data row5 col1\" >2.52</td>\n",
- " <td id=\"T_ebc63_row5_col2\" class=\"data row5 col2\" >98.55</td>\n",
- " <td id=\"T_ebc63_row5_col3\" class=\"data row5 col3\" >3.14</td>\n",
- " <td id=\"T_ebc63_row5_col4\" class=\"data row5 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row5_col5\" class=\"data row5 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_ebc63_row6_col0\" class=\"data row6 col0\" >94.27</td>\n",
- " <td id=\"T_ebc63_row6_col1\" class=\"data row6 col1\" >2.65</td>\n",
- " <td id=\"T_ebc63_row6_col2\" class=\"data row6 col2\" >98.96</td>\n",
- " <td id=\"T_ebc63_row6_col3\" class=\"data row6 col3\" >2.00</td>\n",
- " <td id=\"T_ebc63_row6_col4\" class=\"data row6 col4\" >1.27</td>\n",
- " <td id=\"T_ebc63_row6_col5\" class=\"data row6 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_ebc63_row7_col0\" class=\"data row7 col0\" >94.32</td>\n",
- " <td id=\"T_ebc63_row7_col1\" class=\"data row7 col1\" >3.06</td>\n",
- " <td id=\"T_ebc63_row7_col2\" class=\"data row7 col2\" >98.22</td>\n",
- " <td id=\"T_ebc63_row7_col3\" class=\"data row7 col3\" >3.49</td>\n",
- " <td id=\"T_ebc63_row7_col4\" class=\"data row7 col4\" >1.21</td>\n",
- " <td id=\"T_ebc63_row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_ebc63_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_ebc63_row8_col0\" class=\"data row8 col0\" >93.18</td>\n",
- " <td id=\"T_ebc63_row8_col1\" class=\"data row8 col1\" >3.52</td>\n",
- " <td id=\"T_ebc63_row8_col2\" class=\"data row8 col2\" >99.51</td>\n",
- " <td id=\"T_ebc63_row8_col3\" class=\"data row8 col3\" >1.88</td>\n",
- " <td id=\"T_ebc63_row8_col4\" class=\"data row8 col4\" >1.15</td>\n",
- " <td id=\"T_ebc63_row8_col5\" class=\"data row8 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_ebc63_row9_col0\" class=\"data row9 col0\" >90.13</td>\n",
- " <td id=\"T_ebc63_row9_col1\" class=\"data row9 col1\" >3.38</td>\n",
- " <td id=\"T_ebc63_row9_col2\" class=\"data row9 col2\" >92.08</td>\n",
- " <td id=\"T_ebc63_row9_col3\" class=\"data row9 col3\" >4.25</td>\n",
- " <td id=\"T_ebc63_row9_col4\" class=\"data row9 col4\" >1.96</td>\n",
- " <td id=\"T_ebc63_row9_col5\" class=\"data row9 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_ebc63_row10_col0\" class=\"data row10 col0\" >94.21</td>\n",
- " <td id=\"T_ebc63_row10_col1\" class=\"data row10 col1\" >2.45</td>\n",
- " <td id=\"T_ebc63_row10_col2\" class=\"data row10 col2\" >98.74</td>\n",
- " <td id=\"T_ebc63_row10_col3\" class=\"data row10 col3\" >2.69</td>\n",
- " <td id=\"T_ebc63_row10_col4\" class=\"data row10 col4\" >1.28</td>\n",
- " <td id=\"T_ebc63_row10_col5\" class=\"data row10 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_ebc63_row11_col0\" class=\"data row11 col0\" >93.70</td>\n",
- " <td id=\"T_ebc63_row11_col1\" class=\"data row11 col1\" >2.77</td>\n",
- " <td id=\"T_ebc63_row11_col2\" class=\"data row11 col2\" >98.89</td>\n",
- " <td id=\"T_ebc63_row11_col3\" class=\"data row11 col3\" >3.05</td>\n",
- " <td id=\"T_ebc63_row11_col4\" class=\"data row11 col4\" >1.21</td>\n",
- " <td id=\"T_ebc63_row11_col5\" class=\"data row11 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_ebc63_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_ebc63_row12_col0\" class=\"data row12 col0\" >93.86</td>\n",
- " <td id=\"T_ebc63_row12_col1\" class=\"data row12 col1\" >3.37</td>\n",
- " <td id=\"T_ebc63_row12_col2\" class=\"data row12 col2\" >98.64</td>\n",
- " <td id=\"T_ebc63_row12_col3\" class=\"data row12 col3\" >2.73</td>\n",
- " <td id=\"T_ebc63_row12_col4\" class=\"data row12 col4\" >1.18</td>\n",
- " <td id=\"T_ebc63_row12_col5\" class=\"data row12 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_ebc63_row13_col0\" class=\"data row13 col0\" >93.11</td>\n",
- " <td id=\"T_ebc63_row13_col1\" class=\"data row13 col1\" >2.44</td>\n",
- " <td id=\"T_ebc63_row13_col2\" class=\"data row13 col2\" >98.37</td>\n",
- " <td id=\"T_ebc63_row13_col3\" class=\"data row13 col3\" >3.61</td>\n",
- " <td id=\"T_ebc63_row13_col4\" class=\"data row13 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row13_col5\" class=\"data row13 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_ebc63_row14_col0\" class=\"data row14 col0\" >89.56</td>\n",
- " <td id=\"T_ebc63_row14_col1\" class=\"data row14 col1\" >3.72</td>\n",
- " <td id=\"T_ebc63_row14_col2\" class=\"data row14 col2\" >93.34</td>\n",
- " <td id=\"T_ebc63_row14_col3\" class=\"data row14 col3\" >4.24</td>\n",
- " <td id=\"T_ebc63_row14_col4\" class=\"data row14 col4\" >1.99</td>\n",
- " <td id=\"T_ebc63_row14_col5\" class=\"data row14 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_ebc63_row15_col0\" class=\"data row15 col0\" >93.94</td>\n",
- " <td id=\"T_ebc63_row15_col1\" class=\"data row15 col1\" >3.02</td>\n",
- " <td id=\"T_ebc63_row15_col2\" class=\"data row15 col2\" >98.24</td>\n",
- " <td id=\"T_ebc63_row15_col3\" class=\"data row15 col3\" >3.37</td>\n",
- " <td id=\"T_ebc63_row15_col4\" class=\"data row15 col4\" >1.22</td>\n",
- " <td id=\"T_ebc63_row15_col5\" class=\"data row15 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_ebc63_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_ebc63_row16_col0\" class=\"data row16 col0\" >93.95</td>\n",
- " <td id=\"T_ebc63_row16_col1\" class=\"data row16 col1\" >3.48</td>\n",
- " <td id=\"T_ebc63_row16_col2\" class=\"data row16 col2\" >98.88</td>\n",
- " <td id=\"T_ebc63_row16_col3\" class=\"data row16 col3\" >3.09</td>\n",
- " <td id=\"T_ebc63_row16_col4\" class=\"data row16 col4\" >1.16</td>\n",
- " <td id=\"T_ebc63_row16_col5\" class=\"data row16 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_ebc63_row17_col0\" class=\"data row17 col0\" >92.81</td>\n",
- " <td id=\"T_ebc63_row17_col1\" class=\"data row17 col1\" >2.78</td>\n",
- " <td id=\"T_ebc63_row17_col2\" class=\"data row17 col2\" >98.46</td>\n",
- " <td id=\"T_ebc63_row17_col3\" class=\"data row17 col3\" >2.76</td>\n",
- " <td id=\"T_ebc63_row17_col4\" class=\"data row17 col4\" >1.28</td>\n",
- " <td id=\"T_ebc63_row17_col5\" class=\"data row17 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_ebc63_row18_col0\" class=\"data row18 col0\" >94.53</td>\n",
- " <td id=\"T_ebc63_row18_col1\" class=\"data row18 col1\" >2.40</td>\n",
- " <td id=\"T_ebc63_row18_col2\" class=\"data row18 col2\" >98.59</td>\n",
- " <td id=\"T_ebc63_row18_col3\" class=\"data row18 col3\" >2.67</td>\n",
- " <td id=\"T_ebc63_row18_col4\" class=\"data row18 col4\" >1.27</td>\n",
- " <td id=\"T_ebc63_row18_col5\" class=\"data row18 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_ebc63_row19_col0\" class=\"data row19 col0\" >88.95</td>\n",
- " <td id=\"T_ebc63_row19_col1\" class=\"data row19 col1\" >3.77</td>\n",
- " <td id=\"T_ebc63_row19_col2\" class=\"data row19 col2\" >93.31</td>\n",
- " <td id=\"T_ebc63_row19_col3\" class=\"data row19 col3\" >3.71</td>\n",
- " <td id=\"T_ebc63_row19_col4\" class=\"data row19 col4\" >1.91</td>\n",
- " <td id=\"T_ebc63_row19_col5\" class=\"data row19 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_ebc63_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_ebc63_row20_col0\" class=\"data row20 col0\" >93.76</td>\n",
- " <td id=\"T_ebc63_row20_col1\" class=\"data row20 col1\" >2.30</td>\n",
- " <td id=\"T_ebc63_row20_col2\" class=\"data row20 col2\" >98.21</td>\n",
- " <td id=\"T_ebc63_row20_col3\" class=\"data row20 col3\" >2.45</td>\n",
- " <td id=\"T_ebc63_row20_col4\" class=\"data row20 col4\" >1.47</td>\n",
- " <td id=\"T_ebc63_row20_col5\" class=\"data row20 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_ebc63_row21_col0\" class=\"data row21 col0\" >92.44</td>\n",
- " <td id=\"T_ebc63_row21_col1\" class=\"data row21 col1\" >3.08</td>\n",
- " <td id=\"T_ebc63_row21_col2\" class=\"data row21 col2\" >96.62</td>\n",
- " <td id=\"T_ebc63_row21_col3\" class=\"data row21 col3\" >3.01</td>\n",
- " <td id=\"T_ebc63_row21_col4\" class=\"data row21 col4\" >1.69</td>\n",
- " <td id=\"T_ebc63_row21_col5\" class=\"data row21 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_ebc63_row22_col0\" class=\"data row22 col0\" >94.23</td>\n",
- " <td id=\"T_ebc63_row22_col1\" class=\"data row22 col1\" >2.73</td>\n",
- " <td id=\"T_ebc63_row22_col2\" class=\"data row22 col2\" >97.84</td>\n",
- " <td id=\"T_ebc63_row22_col3\" class=\"data row22 col3\" >6.32</td>\n",
- " <td id=\"T_ebc63_row22_col4\" class=\"data row22 col4\" >1.25</td>\n",
- " <td id=\"T_ebc63_row22_col5\" class=\"data row22 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_ebc63_row23_col0\" class=\"data row23 col0\" >93.12</td>\n",
- " <td id=\"T_ebc63_row23_col1\" class=\"data row23 col1\" >3.37</td>\n",
- " <td id=\"T_ebc63_row23_col2\" class=\"data row23 col2\" >99.11</td>\n",
- " <td id=\"T_ebc63_row23_col3\" class=\"data row23 col3\" >2.31</td>\n",
- " <td id=\"T_ebc63_row23_col4\" class=\"data row23 col4\" >1.20</td>\n",
- " <td id=\"T_ebc63_row23_col5\" class=\"data row23 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_ebc63_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_ebc63_row24_col0\" class=\"data row24 col0\" >93.44</td>\n",
- " <td id=\"T_ebc63_row24_col1\" class=\"data row24 col1\" >2.82</td>\n",
- " <td id=\"T_ebc63_row24_col2\" class=\"data row24 col2\" >98.20</td>\n",
- " <td id=\"T_ebc63_row24_col3\" class=\"data row24 col3\" >2.44</td>\n",
- " <td id=\"T_ebc63_row24_col4\" class=\"data row24 col4\" >1.47</td>\n",
- " <td id=\"T_ebc63_row24_col5\" class=\"data row24 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_ebc63_row25_col0\" class=\"data row25 col0\" >93.47</td>\n",
- " <td id=\"T_ebc63_row25_col1\" class=\"data row25 col1\" >3.36</td>\n",
- " <td id=\"T_ebc63_row25_col2\" class=\"data row25 col2\" >97.90</td>\n",
- " <td id=\"T_ebc63_row25_col3\" class=\"data row25 col3\" >5.83</td>\n",
- " <td id=\"T_ebc63_row25_col4\" class=\"data row25 col4\" >1.25</td>\n",
- " <td id=\"T_ebc63_row25_col5\" class=\"data row25 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_ebc63_row26_col0\" class=\"data row26 col0\" >93.14</td>\n",
- " <td id=\"T_ebc63_row26_col1\" class=\"data row26 col1\" >2.85</td>\n",
- " <td id=\"T_ebc63_row26_col2\" class=\"data row26 col2\" >97.65</td>\n",
- " <td id=\"T_ebc63_row26_col3\" class=\"data row26 col3\" >2.35</td>\n",
- " <td id=\"T_ebc63_row26_col4\" class=\"data row26 col4\" >1.67</td>\n",
- " <td id=\"T_ebc63_row26_col5\" class=\"data row26 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_ebc63_row27_col0\" class=\"data row27 col0\" >93.86</td>\n",
- " <td id=\"T_ebc63_row27_col1\" class=\"data row27 col1\" >2.82</td>\n",
- " <td id=\"T_ebc63_row27_col2\" class=\"data row27 col2\" >99.22</td>\n",
- " <td id=\"T_ebc63_row27_col3\" class=\"data row27 col3\" >2.18</td>\n",
- " <td id=\"T_ebc63_row27_col4\" class=\"data row27 col4\" >1.21</td>\n",
- " <td id=\"T_ebc63_row27_col5\" class=\"data row27 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_ebc63_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_ebc63_row28_col0\" class=\"data row28 col0\" >93.34</td>\n",
- " <td id=\"T_ebc63_row28_col1\" class=\"data row28 col1\" >2.70</td>\n",
- " <td id=\"T_ebc63_row28_col2\" class=\"data row28 col2\" >98.00</td>\n",
- " <td id=\"T_ebc63_row28_col3\" class=\"data row28 col3\" >3.05</td>\n",
- " <td id=\"T_ebc63_row28_col4\" class=\"data row28 col4\" >1.47</td>\n",
- " <td id=\"T_ebc63_row28_col5\" class=\"data row28 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_ebc63_row29_col0\" class=\"data row29 col0\" >93.67</td>\n",
- " <td id=\"T_ebc63_row29_col1\" class=\"data row29 col1\" >2.61</td>\n",
- " <td id=\"T_ebc63_row29_col2\" class=\"data row29 col2\" >98.04</td>\n",
- " <td id=\"T_ebc63_row29_col3\" class=\"data row29 col3\" >4.58</td>\n",
- " <td id=\"T_ebc63_row29_col4\" class=\"data row29 col4\" >1.28</td>\n",
- " <td id=\"T_ebc63_row29_col5\" class=\"data row29 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_ebc63_row30_col0\" class=\"data row30 col0\" >94.15</td>\n",
- " <td id=\"T_ebc63_row30_col1\" class=\"data row30 col1\" >2.78</td>\n",
- " <td id=\"T_ebc63_row30_col2\" class=\"data row30 col2\" >98.59</td>\n",
- " <td id=\"T_ebc63_row30_col3\" class=\"data row30 col3\" >4.77</td>\n",
- " <td id=\"T_ebc63_row30_col4\" class=\"data row30 col4\" >1.23</td>\n",
- " <td id=\"T_ebc63_row30_col5\" class=\"data row30 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_ebc63_row31_col0\" class=\"data row31 col0\" >92.88</td>\n",
- " <td id=\"T_ebc63_row31_col1\" class=\"data row31 col1\" >2.96</td>\n",
- " <td id=\"T_ebc63_row31_col2\" class=\"data row31 col2\" >97.05</td>\n",
- " <td id=\"T_ebc63_row31_col3\" class=\"data row31 col3\" >2.52</td>\n",
- " <td id=\"T_ebc63_row31_col4\" class=\"data row31 col4\" >1.59</td>\n",
- " <td id=\"T_ebc63_row31_col5\" class=\"data row31 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_ebc63_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_ebc63_row32_col0\" class=\"data row32 col0\" >94.00</td>\n",
- " <td id=\"T_ebc63_row32_col1\" class=\"data row32 col1\" >4.04</td>\n",
- " <td id=\"T_ebc63_row32_col2\" class=\"data row32 col2\" >98.92</td>\n",
- " <td id=\"T_ebc63_row32_col3\" class=\"data row32 col3\" >3.35</td>\n",
- " <td id=\"T_ebc63_row32_col4\" class=\"data row32 col4\" >1.13</td>\n",
- " <td id=\"T_ebc63_row32_col5\" class=\"data row32 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_ebc63_row33_col0\" class=\"data row33 col0\" >93.19</td>\n",
- " <td id=\"T_ebc63_row33_col1\" class=\"data row33 col1\" >2.49</td>\n",
- " <td id=\"T_ebc63_row33_col2\" class=\"data row33 col2\" >97.59</td>\n",
- " <td id=\"T_ebc63_row33_col3\" class=\"data row33 col3\" >2.75</td>\n",
- " <td id=\"T_ebc63_row33_col4\" class=\"data row33 col4\" >1.60</td>\n",
- " <td id=\"T_ebc63_row33_col5\" class=\"data row33 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_ebc63_row34_col0\" class=\"data row34 col0\" >92.93</td>\n",
- " <td id=\"T_ebc63_row34_col1\" class=\"data row34 col1\" >2.63</td>\n",
- " <td id=\"T_ebc63_row34_col2\" class=\"data row34 col2\" >97.44</td>\n",
- " <td id=\"T_ebc63_row34_col3\" class=\"data row34 col3\" >3.16</td>\n",
- " <td id=\"T_ebc63_row34_col4\" class=\"data row34 col4\" >1.64</td>\n",
- " <td id=\"T_ebc63_row34_col5\" class=\"data row34 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_ebc63_row35_col0\" class=\"data row35 col0\" >93.50</td>\n",
- " <td id=\"T_ebc63_row35_col1\" class=\"data row35 col1\" >3.34</td>\n",
- " <td id=\"T_ebc63_row35_col2\" class=\"data row35 col2\" >98.88</td>\n",
- " <td id=\"T_ebc63_row35_col3\" class=\"data row35 col3\" >2.57</td>\n",
- " <td id=\"T_ebc63_row35_col4\" class=\"data row35 col4\" >1.17</td>\n",
- " <td id=\"T_ebc63_row35_col5\" class=\"data row35 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_ebc63_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_ebc63_row36_col0\" class=\"data row36 col0\" >93.84</td>\n",
- " <td id=\"T_ebc63_row36_col1\" class=\"data row36 col1\" >4.30</td>\n",
- " <td id=\"T_ebc63_row36_col2\" class=\"data row36 col2\" >99.30</td>\n",
- " <td id=\"T_ebc63_row36_col3\" class=\"data row36 col3\" >2.14</td>\n",
- " <td id=\"T_ebc63_row36_col4\" class=\"data row36 col4\" >1.13</td>\n",
- " <td id=\"T_ebc63_row36_col5\" class=\"data row36 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_ebc63_row37_col0\" class=\"data row37 col0\" >92.75</td>\n",
- " <td id=\"T_ebc63_row37_col1\" class=\"data row37 col1\" >2.85</td>\n",
- " <td id=\"T_ebc63_row37_col2\" class=\"data row37 col2\" >97.07</td>\n",
- " <td id=\"T_ebc63_row37_col3\" class=\"data row37 col3\" >3.42</td>\n",
- " <td id=\"T_ebc63_row37_col4\" class=\"data row37 col4\" >1.60</td>\n",
- " <td id=\"T_ebc63_row37_col5\" class=\"data row37 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_ebc63_row38_col0\" class=\"data row38 col0\" >94.00</td>\n",
- " <td id=\"T_ebc63_row38_col1\" class=\"data row38 col1\" >2.95</td>\n",
- " <td id=\"T_ebc63_row38_col2\" class=\"data row38 col2\" >98.58</td>\n",
- " <td id=\"T_ebc63_row38_col3\" class=\"data row38 col3\" >3.45</td>\n",
- " <td id=\"T_ebc63_row38_col4\" class=\"data row38 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row38_col5\" class=\"data row38 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_ebc63_row39_col0\" class=\"data row39 col0\" >93.19</td>\n",
- " <td id=\"T_ebc63_row39_col1\" class=\"data row39 col1\" >2.73</td>\n",
- " <td id=\"T_ebc63_row39_col2\" class=\"data row39 col2\" >97.63</td>\n",
- " <td id=\"T_ebc63_row39_col3\" class=\"data row39 col3\" >2.57</td>\n",
- " <td id=\"T_ebc63_row39_col4\" class=\"data row39 col4\" >1.53</td>\n",
- " <td id=\"T_ebc63_row39_col5\" class=\"data row39 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_ebc63_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_ebc63_row40_col0\" class=\"data row40 col0\" >93.76</td>\n",
- " <td id=\"T_ebc63_row40_col1\" class=\"data row40 col1\" >3.93</td>\n",
- " <td id=\"T_ebc63_row40_col2\" class=\"data row40 col2\" >98.99</td>\n",
- " <td id=\"T_ebc63_row40_col3\" class=\"data row40 col3\" >3.79</td>\n",
- " <td id=\"T_ebc63_row40_col4\" class=\"data row40 col4\" >1.16</td>\n",
- " <td id=\"T_ebc63_row40_col5\" class=\"data row40 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_ebc63_row41_col0\" class=\"data row41 col0\" >93.15</td>\n",
- " <td id=\"T_ebc63_row41_col1\" class=\"data row41 col1\" >2.66</td>\n",
- " <td id=\"T_ebc63_row41_col2\" class=\"data row41 col2\" >97.96</td>\n",
- " <td id=\"T_ebc63_row41_col3\" class=\"data row41 col3\" >4.94</td>\n",
- " <td id=\"T_ebc63_row41_col4\" class=\"data row41 col4\" >1.23</td>\n",
- " <td id=\"T_ebc63_row41_col5\" class=\"data row41 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_ebc63_row42_col0\" class=\"data row42 col0\" >92.80</td>\n",
- " <td id=\"T_ebc63_row42_col1\" class=\"data row42 col1\" >2.64</td>\n",
- " <td id=\"T_ebc63_row42_col2\" class=\"data row42 col2\" >98.03</td>\n",
- " <td id=\"T_ebc63_row42_col3\" class=\"data row42 col3\" >2.25</td>\n",
- " <td id=\"T_ebc63_row42_col4\" class=\"data row42 col4\" >1.62</td>\n",
- " <td id=\"T_ebc63_row42_col5\" class=\"data row42 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_ebc63_row43_col0\" class=\"data row43 col0\" >92.79</td>\n",
- " <td id=\"T_ebc63_row43_col1\" class=\"data row43 col1\" >2.68</td>\n",
- " <td id=\"T_ebc63_row43_col2\" class=\"data row43 col2\" >97.84</td>\n",
- " <td id=\"T_ebc63_row43_col3\" class=\"data row43 col3\" >2.21</td>\n",
- " <td id=\"T_ebc63_row43_col4\" class=\"data row43 col4\" >1.55</td>\n",
- " <td id=\"T_ebc63_row43_col5\" class=\"data row43 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_ebc63_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_ebc63_row44_col0\" class=\"data row44 col0\" >96.03</td>\n",
- " <td id=\"T_ebc63_row44_col1\" class=\"data row44 col1\" >2.34</td>\n",
- " <td id=\"T_ebc63_row44_col2\" class=\"data row44 col2\" >99.21</td>\n",
- " <td id=\"T_ebc63_row44_col3\" class=\"data row44 col3\" >1.69</td>\n",
- " <td id=\"T_ebc63_row44_col4\" class=\"data row44 col4\" >1.31</td>\n",
- " <td id=\"T_ebc63_row44_col5\" class=\"data row44 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_ebc63_row45_col0\" class=\"data row45 col0\" >95.21</td>\n",
- " <td id=\"T_ebc63_row45_col1\" class=\"data row45 col1\" >2.33</td>\n",
- " <td id=\"T_ebc63_row45_col2\" class=\"data row45 col2\" >98.84</td>\n",
- " <td id=\"T_ebc63_row45_col3\" class=\"data row45 col3\" >2.40</td>\n",
- " <td id=\"T_ebc63_row45_col4\" class=\"data row45 col4\" >1.41</td>\n",
- " <td id=\"T_ebc63_row45_col5\" class=\"data row45 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_ebc63_row46_col0\" class=\"data row46 col0\" >95.43</td>\n",
- " <td id=\"T_ebc63_row46_col1\" class=\"data row46 col1\" >2.15</td>\n",
- " <td id=\"T_ebc63_row46_col2\" class=\"data row46 col2\" >99.05</td>\n",
- " <td id=\"T_ebc63_row46_col3\" class=\"data row46 col3\" >2.27</td>\n",
- " <td id=\"T_ebc63_row46_col4\" class=\"data row46 col4\" >1.44</td>\n",
- " <td id=\"T_ebc63_row46_col5\" class=\"data row46 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_ebc63_row47_col0\" class=\"data row47 col0\" >93.20</td>\n",
- " <td id=\"T_ebc63_row47_col1\" class=\"data row47 col1\" >4.50</td>\n",
- " <td id=\"T_ebc63_row47_col2\" class=\"data row47 col2\" >98.90</td>\n",
- " <td id=\"T_ebc63_row47_col3\" class=\"data row47 col3\" >3.19</td>\n",
- " <td id=\"T_ebc63_row47_col4\" class=\"data row47 col4\" >1.16</td>\n",
- " <td id=\"T_ebc63_row47_col5\" class=\"data row47 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_ebc63_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_ebc63_row48_col0\" class=\"data row48 col0\" >95.94</td>\n",
- " <td id=\"T_ebc63_row48_col1\" class=\"data row48 col1\" >2.45</td>\n",
- " <td id=\"T_ebc63_row48_col2\" class=\"data row48 col2\" >99.34</td>\n",
- " <td id=\"T_ebc63_row48_col3\" class=\"data row48 col3\" >1.29</td>\n",
- " <td id=\"T_ebc63_row48_col4\" class=\"data row48 col4\" >1.29</td>\n",
- " <td id=\"T_ebc63_row48_col5\" class=\"data row48 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_ebc63_row49_col0\" class=\"data row49 col0\" >94.73</td>\n",
- " <td id=\"T_ebc63_row49_col1\" class=\"data row49 col1\" >2.41</td>\n",
- " <td id=\"T_ebc63_row49_col2\" class=\"data row49 col2\" >98.58</td>\n",
- " <td id=\"T_ebc63_row49_col3\" class=\"data row49 col3\" >2.93</td>\n",
- " <td id=\"T_ebc63_row49_col4\" class=\"data row49 col4\" >1.45</td>\n",
- " <td id=\"T_ebc63_row49_col5\" class=\"data row49 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_ebc63_row50_col0\" class=\"data row50 col0\" >93.58</td>\n",
- " <td id=\"T_ebc63_row50_col1\" class=\"data row50 col1\" >3.46</td>\n",
- " <td id=\"T_ebc63_row50_col2\" class=\"data row50 col2\" >98.19</td>\n",
- " <td id=\"T_ebc63_row50_col3\" class=\"data row50 col3\" >4.13</td>\n",
- " <td id=\"T_ebc63_row50_col4\" class=\"data row50 col4\" >1.25</td>\n",
- " <td id=\"T_ebc63_row50_col5\" class=\"data row50 col5\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_ebc63_row51_col0\" class=\"data row51 col0\" >95.31</td>\n",
- " <td id=\"T_ebc63_row51_col1\" class=\"data row51 col1\" >2.82</td>\n",
- " <td id=\"T_ebc63_row51_col2\" class=\"data row51 col2\" >99.06</td>\n",
- " <td id=\"T_ebc63_row51_col3\" class=\"data row51 col3\" >1.60</td>\n",
- " <td id=\"T_ebc63_row51_col4\" class=\"data row51 col4\" >1.35</td>\n",
- " <td id=\"T_ebc63_row51_col5\" class=\"data row51 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_ebc63_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_ebc63_row52_col0\" class=\"data row52 col0\" >95.86</td>\n",
- " <td id=\"T_ebc63_row52_col1\" class=\"data row52 col1\" >2.51</td>\n",
- " <td id=\"T_ebc63_row52_col2\" class=\"data row52 col2\" >98.87</td>\n",
- " <td id=\"T_ebc63_row52_col3\" class=\"data row52 col3\" >2.57</td>\n",
- " <td id=\"T_ebc63_row52_col4\" class=\"data row52 col4\" >1.29</td>\n",
- " <td id=\"T_ebc63_row52_col5\" class=\"data row52 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_ebc63_row53_col0\" class=\"data row53 col0\" >92.81</td>\n",
- " <td id=\"T_ebc63_row53_col1\" class=\"data row53 col1\" >3.48</td>\n",
- " <td id=\"T_ebc63_row53_col2\" class=\"data row53 col2\" >97.80</td>\n",
- " <td id=\"T_ebc63_row53_col3\" class=\"data row53 col3\" >7.06</td>\n",
- " <td id=\"T_ebc63_row53_col4\" class=\"data row53 col4\" >1.24</td>\n",
- " <td id=\"T_ebc63_row53_col5\" class=\"data row53 col5\" >0.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_ebc63_row54_col0\" class=\"data row54 col0\" >95.59</td>\n",
- " <td id=\"T_ebc63_row54_col1\" class=\"data row54 col1\" >2.01</td>\n",
- " <td id=\"T_ebc63_row54_col2\" class=\"data row54 col2\" >99.07</td>\n",
- " <td id=\"T_ebc63_row54_col3\" class=\"data row54 col3\" >1.73</td>\n",
- " <td id=\"T_ebc63_row54_col4\" class=\"data row54 col4\" >1.44</td>\n",
- " <td id=\"T_ebc63_row54_col5\" class=\"data row54 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_ebc63_row55_col0\" class=\"data row55 col0\" >95.27</td>\n",
- " <td id=\"T_ebc63_row55_col1\" class=\"data row55 col1\" >2.69</td>\n",
- " <td id=\"T_ebc63_row55_col2\" class=\"data row55 col2\" >98.64</td>\n",
- " <td id=\"T_ebc63_row55_col3\" class=\"data row55 col3\" >2.52</td>\n",
- " <td id=\"T_ebc63_row55_col4\" class=\"data row55 col4\" >1.34</td>\n",
- " <td id=\"T_ebc63_row55_col5\" class=\"data row55 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_ebc63_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_ebc63_row56_col0\" class=\"data row56 col0\" >93.99</td>\n",
- " <td id=\"T_ebc63_row56_col1\" class=\"data row56 col1\" >5.01</td>\n",
- " <td id=\"T_ebc63_row56_col2\" class=\"data row56 col2\" >98.76</td>\n",
- " <td id=\"T_ebc63_row56_col3\" class=\"data row56 col3\" >4.01</td>\n",
- " <td id=\"T_ebc63_row56_col4\" class=\"data row56 col4\" >1.12</td>\n",
- " <td id=\"T_ebc63_row56_col5\" class=\"data row56 col5\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_ebc63_row57_col0\" class=\"data row57 col0\" >94.98</td>\n",
- " <td id=\"T_ebc63_row57_col1\" class=\"data row57 col1\" >2.39</td>\n",
- " <td id=\"T_ebc63_row57_col2\" class=\"data row57 col2\" >98.89</td>\n",
- " <td id=\"T_ebc63_row57_col3\" class=\"data row57 col3\" >1.92</td>\n",
- " <td id=\"T_ebc63_row57_col4\" class=\"data row57 col4\" >1.38</td>\n",
- " <td id=\"T_ebc63_row57_col5\" class=\"data row57 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_ebc63_row58_col0\" class=\"data row58 col0\" >95.16</td>\n",
- " <td id=\"T_ebc63_row58_col1\" class=\"data row58 col1\" >2.40</td>\n",
- " <td id=\"T_ebc63_row58_col2\" class=\"data row58 col2\" >99.06</td>\n",
- " <td id=\"T_ebc63_row58_col3\" class=\"data row58 col3\" >2.12</td>\n",
- " <td id=\"T_ebc63_row58_col4\" class=\"data row58 col4\" >1.41</td>\n",
- " <td id=\"T_ebc63_row58_col5\" class=\"data row58 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_ebc63_row59_col0\" class=\"data row59 col0\" >95.34</td>\n",
- " <td id=\"T_ebc63_row59_col1\" class=\"data row59 col1\" >2.64</td>\n",
- " <td id=\"T_ebc63_row59_col2\" class=\"data row59 col2\" >99.06</td>\n",
- " <td id=\"T_ebc63_row59_col3\" class=\"data row59 col3\" >2.16</td>\n",
- " <td id=\"T_ebc63_row59_col4\" class=\"data row59 col4\" >1.32</td>\n",
- " <td id=\"T_ebc63_row59_col5\" class=\"data row59 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_ebc63_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_ebc63_row60_col0\" class=\"data row60 col0\" >96.86</td>\n",
- " <td id=\"T_ebc63_row60_col1\" class=\"data row60 col1\" >2.51</td>\n",
- " <td id=\"T_ebc63_row60_col2\" class=\"data row60 col2\" >99.75</td>\n",
- " <td id=\"T_ebc63_row60_col3\" class=\"data row60 col3\" >1.14</td>\n",
- " <td id=\"T_ebc63_row60_col4\" class=\"data row60 col4\" >1.19</td>\n",
- " <td id=\"T_ebc63_row60_col5\" class=\"data row60 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_ebc63_row61_col0\" class=\"data row61 col0\" >96.98</td>\n",
- " <td id=\"T_ebc63_row61_col1\" class=\"data row61 col1\" >2.20</td>\n",
- " <td id=\"T_ebc63_row61_col2\" class=\"data row61 col2\" >99.41</td>\n",
- " <td id=\"T_ebc63_row61_col3\" class=\"data row61 col3\" >1.69</td>\n",
- " <td id=\"T_ebc63_row61_col4\" class=\"data row61 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row61_col5\" class=\"data row61 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_ebc63_row62_col0\" class=\"data row62 col0\" >96.71</td>\n",
- " <td id=\"T_ebc63_row62_col1\" class=\"data row62 col1\" >2.42</td>\n",
- " <td id=\"T_ebc63_row62_col2\" class=\"data row62 col2\" >99.48</td>\n",
- " <td id=\"T_ebc63_row62_col3\" class=\"data row62 col3\" >1.67</td>\n",
- " <td id=\"T_ebc63_row62_col4\" class=\"data row62 col4\" >1.26</td>\n",
- " <td id=\"T_ebc63_row62_col5\" class=\"data row62 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ebc63_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_ebc63_row63_col0\" class=\"data row63 col0\" >97.10</td>\n",
- " <td id=\"T_ebc63_row63_col1\" class=\"data row63 col1\" >2.44</td>\n",
- " <td id=\"T_ebc63_row63_col2\" class=\"data row63 col2\" >99.78</td>\n",
- " <td id=\"T_ebc63_row63_col3\" class=\"data row63 col3\" >0.90</td>\n",
- " <td id=\"T_ebc63_row63_col4\" class=\"data row63 col4\" >1.22</td>\n",
- " <td id=\"T_ebc63_row63_col5\" class=\"data row63 col5\" >0.09</td>\n",
+ " <th id=\"T_f4ed6_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_f4ed6_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_f4ed6_row0_col0\" class=\"data row0 col0\" >96.86</td>\n",
+ " <td id=\"T_f4ed6_row0_col1\" class=\"data row0 col1\" >2.51</td>\n",
+ " <td id=\"T_f4ed6_row0_col2\" class=\"data row0 col2\" >99.75</td>\n",
+ " <td id=\"T_f4ed6_row0_col3\" class=\"data row0 col3\" >1.14</td>\n",
+ " <td id=\"T_f4ed6_row0_col4\" class=\"data row0 col4\" >1.19</td>\n",
+ " <td id=\"T_f4ed6_row0_col5\" class=\"data row0 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_f4ed6_row1_col0\" class=\"data row1 col0\" >96.98</td>\n",
+ " <td id=\"T_f4ed6_row1_col1\" class=\"data row1 col1\" >2.20</td>\n",
+ " <td id=\"T_f4ed6_row1_col2\" class=\"data row1 col2\" >99.41</td>\n",
+ " <td id=\"T_f4ed6_row1_col3\" class=\"data row1 col3\" >1.69</td>\n",
+ " <td id=\"T_f4ed6_row1_col4\" class=\"data row1 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row1_col5\" class=\"data row1 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_f4ed6_row2_col0\" class=\"data row2 col0\" >96.71</td>\n",
+ " <td id=\"T_f4ed6_row2_col1\" class=\"data row2 col1\" >2.42</td>\n",
+ " <td id=\"T_f4ed6_row2_col2\" class=\"data row2 col2\" >99.48</td>\n",
+ " <td id=\"T_f4ed6_row2_col3\" class=\"data row2 col3\" >1.67</td>\n",
+ " <td id=\"T_f4ed6_row2_col4\" class=\"data row2 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row2_col5\" class=\"data row2 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_f4ed6_row3_col0\" class=\"data row3 col0\" >97.10</td>\n",
+ " <td id=\"T_f4ed6_row3_col1\" class=\"data row3 col1\" >2.44</td>\n",
+ " <td id=\"T_f4ed6_row3_col2\" class=\"data row3 col2\" >99.78</td>\n",
+ " <td id=\"T_f4ed6_row3_col3\" class=\"data row3 col3\" >0.90</td>\n",
+ " <td id=\"T_f4ed6_row3_col4\" class=\"data row3 col4\" >1.22</td>\n",
+ " <td id=\"T_f4ed6_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_f4ed6_row4_col0\" class=\"data row4 col0\" >90.94</td>\n",
+ " <td id=\"T_f4ed6_row4_col1\" class=\"data row4 col1\" >3.31</td>\n",
+ " <td id=\"T_f4ed6_row4_col2\" class=\"data row4 col2\" >95.10</td>\n",
+ " <td id=\"T_f4ed6_row4_col3\" class=\"data row4 col3\" >3.43</td>\n",
+ " <td id=\"T_f4ed6_row4_col4\" class=\"data row4 col4\" >1.78</td>\n",
+ " <td id=\"T_f4ed6_row4_col5\" class=\"data row4 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_f4ed6_row5_col0\" class=\"data row5 col0\" >94.10</td>\n",
+ " <td id=\"T_f4ed6_row5_col1\" class=\"data row5 col1\" >2.52</td>\n",
+ " <td id=\"T_f4ed6_row5_col2\" class=\"data row5 col2\" >98.55</td>\n",
+ " <td id=\"T_f4ed6_row5_col3\" class=\"data row5 col3\" >3.14</td>\n",
+ " <td id=\"T_f4ed6_row5_col4\" class=\"data row5 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row5_col5\" class=\"data row5 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_f4ed6_row6_col0\" class=\"data row6 col0\" >94.27</td>\n",
+ " <td id=\"T_f4ed6_row6_col1\" class=\"data row6 col1\" >2.65</td>\n",
+ " <td id=\"T_f4ed6_row6_col2\" class=\"data row6 col2\" >98.96</td>\n",
+ " <td id=\"T_f4ed6_row6_col3\" class=\"data row6 col3\" >2.00</td>\n",
+ " <td id=\"T_f4ed6_row6_col4\" class=\"data row6 col4\" >1.27</td>\n",
+ " <td id=\"T_f4ed6_row6_col5\" class=\"data row6 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_f4ed6_row7_col0\" class=\"data row7 col0\" >94.32</td>\n",
+ " <td id=\"T_f4ed6_row7_col1\" class=\"data row7 col1\" >3.06</td>\n",
+ " <td id=\"T_f4ed6_row7_col2\" class=\"data row7 col2\" >98.22</td>\n",
+ " <td id=\"T_f4ed6_row7_col3\" class=\"data row7 col3\" >3.49</td>\n",
+ " <td id=\"T_f4ed6_row7_col4\" class=\"data row7 col4\" >1.21</td>\n",
+ " <td id=\"T_f4ed6_row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_f4ed6_row8_col0\" class=\"data row8 col0\" >93.18</td>\n",
+ " <td id=\"T_f4ed6_row8_col1\" class=\"data row8 col1\" >3.52</td>\n",
+ " <td id=\"T_f4ed6_row8_col2\" class=\"data row8 col2\" >99.51</td>\n",
+ " <td id=\"T_f4ed6_row8_col3\" class=\"data row8 col3\" >1.88</td>\n",
+ " <td id=\"T_f4ed6_row8_col4\" class=\"data row8 col4\" >1.15</td>\n",
+ " <td id=\"T_f4ed6_row8_col5\" class=\"data row8 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_f4ed6_row9_col0\" class=\"data row9 col0\" >90.13</td>\n",
+ " <td id=\"T_f4ed6_row9_col1\" class=\"data row9 col1\" >3.38</td>\n",
+ " <td id=\"T_f4ed6_row9_col2\" class=\"data row9 col2\" >92.08</td>\n",
+ " <td id=\"T_f4ed6_row9_col3\" class=\"data row9 col3\" >4.25</td>\n",
+ " <td id=\"T_f4ed6_row9_col4\" class=\"data row9 col4\" >1.96</td>\n",
+ " <td id=\"T_f4ed6_row9_col5\" class=\"data row9 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_f4ed6_row10_col0\" class=\"data row10 col0\" >94.21</td>\n",
+ " <td id=\"T_f4ed6_row10_col1\" class=\"data row10 col1\" >2.45</td>\n",
+ " <td id=\"T_f4ed6_row10_col2\" class=\"data row10 col2\" >98.74</td>\n",
+ " <td id=\"T_f4ed6_row10_col3\" class=\"data row10 col3\" >2.69</td>\n",
+ " <td id=\"T_f4ed6_row10_col4\" class=\"data row10 col4\" >1.28</td>\n",
+ " <td id=\"T_f4ed6_row10_col5\" class=\"data row10 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_f4ed6_row11_col0\" class=\"data row11 col0\" >93.70</td>\n",
+ " <td id=\"T_f4ed6_row11_col1\" class=\"data row11 col1\" >2.77</td>\n",
+ " <td id=\"T_f4ed6_row11_col2\" class=\"data row11 col2\" >98.89</td>\n",
+ " <td id=\"T_f4ed6_row11_col3\" class=\"data row11 col3\" >3.05</td>\n",
+ " <td id=\"T_f4ed6_row11_col4\" class=\"data row11 col4\" >1.21</td>\n",
+ " <td id=\"T_f4ed6_row11_col5\" class=\"data row11 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_f4ed6_row12_col0\" class=\"data row12 col0\" >93.86</td>\n",
+ " <td id=\"T_f4ed6_row12_col1\" class=\"data row12 col1\" >3.37</td>\n",
+ " <td id=\"T_f4ed6_row12_col2\" class=\"data row12 col2\" >98.64</td>\n",
+ " <td id=\"T_f4ed6_row12_col3\" class=\"data row12 col3\" >2.73</td>\n",
+ " <td id=\"T_f4ed6_row12_col4\" class=\"data row12 col4\" >1.18</td>\n",
+ " <td id=\"T_f4ed6_row12_col5\" class=\"data row12 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_f4ed6_row13_col0\" class=\"data row13 col0\" >93.11</td>\n",
+ " <td id=\"T_f4ed6_row13_col1\" class=\"data row13 col1\" >2.44</td>\n",
+ " <td id=\"T_f4ed6_row13_col2\" class=\"data row13 col2\" >98.37</td>\n",
+ " <td id=\"T_f4ed6_row13_col3\" class=\"data row13 col3\" >3.61</td>\n",
+ " <td id=\"T_f4ed6_row13_col4\" class=\"data row13 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row13_col5\" class=\"data row13 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_f4ed6_row14_col0\" class=\"data row14 col0\" >89.56</td>\n",
+ " <td id=\"T_f4ed6_row14_col1\" class=\"data row14 col1\" >3.72</td>\n",
+ " <td id=\"T_f4ed6_row14_col2\" class=\"data row14 col2\" >93.34</td>\n",
+ " <td id=\"T_f4ed6_row14_col3\" class=\"data row14 col3\" >4.24</td>\n",
+ " <td id=\"T_f4ed6_row14_col4\" class=\"data row14 col4\" >1.99</td>\n",
+ " <td id=\"T_f4ed6_row14_col5\" class=\"data row14 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_f4ed6_row15_col0\" class=\"data row15 col0\" >93.94</td>\n",
+ " <td id=\"T_f4ed6_row15_col1\" class=\"data row15 col1\" >3.02</td>\n",
+ " <td id=\"T_f4ed6_row15_col2\" class=\"data row15 col2\" >98.24</td>\n",
+ " <td id=\"T_f4ed6_row15_col3\" class=\"data row15 col3\" >3.37</td>\n",
+ " <td id=\"T_f4ed6_row15_col4\" class=\"data row15 col4\" >1.22</td>\n",
+ " <td id=\"T_f4ed6_row15_col5\" class=\"data row15 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_f4ed6_row16_col0\" class=\"data row16 col0\" >93.95</td>\n",
+ " <td id=\"T_f4ed6_row16_col1\" class=\"data row16 col1\" >3.48</td>\n",
+ " <td id=\"T_f4ed6_row16_col2\" class=\"data row16 col2\" >98.88</td>\n",
+ " <td id=\"T_f4ed6_row16_col3\" class=\"data row16 col3\" >3.09</td>\n",
+ " <td id=\"T_f4ed6_row16_col4\" class=\"data row16 col4\" >1.16</td>\n",
+ " <td id=\"T_f4ed6_row16_col5\" class=\"data row16 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_f4ed6_row17_col0\" class=\"data row17 col0\" >92.81</td>\n",
+ " <td id=\"T_f4ed6_row17_col1\" class=\"data row17 col1\" >2.78</td>\n",
+ " <td id=\"T_f4ed6_row17_col2\" class=\"data row17 col2\" >98.46</td>\n",
+ " <td id=\"T_f4ed6_row17_col3\" class=\"data row17 col3\" >2.76</td>\n",
+ " <td id=\"T_f4ed6_row17_col4\" class=\"data row17 col4\" >1.28</td>\n",
+ " <td id=\"T_f4ed6_row17_col5\" class=\"data row17 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_f4ed6_row18_col0\" class=\"data row18 col0\" >94.53</td>\n",
+ " <td id=\"T_f4ed6_row18_col1\" class=\"data row18 col1\" >2.40</td>\n",
+ " <td id=\"T_f4ed6_row18_col2\" class=\"data row18 col2\" >98.59</td>\n",
+ " <td id=\"T_f4ed6_row18_col3\" class=\"data row18 col3\" >2.67</td>\n",
+ " <td id=\"T_f4ed6_row18_col4\" class=\"data row18 col4\" >1.27</td>\n",
+ " <td id=\"T_f4ed6_row18_col5\" class=\"data row18 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_f4ed6_row19_col0\" class=\"data row19 col0\" >88.95</td>\n",
+ " <td id=\"T_f4ed6_row19_col1\" class=\"data row19 col1\" >3.77</td>\n",
+ " <td id=\"T_f4ed6_row19_col2\" class=\"data row19 col2\" >93.31</td>\n",
+ " <td id=\"T_f4ed6_row19_col3\" class=\"data row19 col3\" >3.71</td>\n",
+ " <td id=\"T_f4ed6_row19_col4\" class=\"data row19 col4\" >1.91</td>\n",
+ " <td id=\"T_f4ed6_row19_col5\" class=\"data row19 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_f4ed6_row20_col0\" class=\"data row20 col0\" >93.76</td>\n",
+ " <td id=\"T_f4ed6_row20_col1\" class=\"data row20 col1\" >2.30</td>\n",
+ " <td id=\"T_f4ed6_row20_col2\" class=\"data row20 col2\" >98.21</td>\n",
+ " <td id=\"T_f4ed6_row20_col3\" class=\"data row20 col3\" >2.45</td>\n",
+ " <td id=\"T_f4ed6_row20_col4\" class=\"data row20 col4\" >1.47</td>\n",
+ " <td id=\"T_f4ed6_row20_col5\" class=\"data row20 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_f4ed6_row21_col0\" class=\"data row21 col0\" >92.44</td>\n",
+ " <td id=\"T_f4ed6_row21_col1\" class=\"data row21 col1\" >3.08</td>\n",
+ " <td id=\"T_f4ed6_row21_col2\" class=\"data row21 col2\" >96.62</td>\n",
+ " <td id=\"T_f4ed6_row21_col3\" class=\"data row21 col3\" >3.01</td>\n",
+ " <td id=\"T_f4ed6_row21_col4\" class=\"data row21 col4\" >1.69</td>\n",
+ " <td id=\"T_f4ed6_row21_col5\" class=\"data row21 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_f4ed6_row22_col0\" class=\"data row22 col0\" >94.23</td>\n",
+ " <td id=\"T_f4ed6_row22_col1\" class=\"data row22 col1\" >2.73</td>\n",
+ " <td id=\"T_f4ed6_row22_col2\" class=\"data row22 col2\" >97.84</td>\n",
+ " <td id=\"T_f4ed6_row22_col3\" class=\"data row22 col3\" >6.32</td>\n",
+ " <td id=\"T_f4ed6_row22_col4\" class=\"data row22 col4\" >1.25</td>\n",
+ " <td id=\"T_f4ed6_row22_col5\" class=\"data row22 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_f4ed6_row23_col0\" class=\"data row23 col0\" >93.12</td>\n",
+ " <td id=\"T_f4ed6_row23_col1\" class=\"data row23 col1\" >3.37</td>\n",
+ " <td id=\"T_f4ed6_row23_col2\" class=\"data row23 col2\" >99.11</td>\n",
+ " <td id=\"T_f4ed6_row23_col3\" class=\"data row23 col3\" >2.31</td>\n",
+ " <td id=\"T_f4ed6_row23_col4\" class=\"data row23 col4\" >1.20</td>\n",
+ " <td id=\"T_f4ed6_row23_col5\" class=\"data row23 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_f4ed6_row24_col0\" class=\"data row24 col0\" >93.44</td>\n",
+ " <td id=\"T_f4ed6_row24_col1\" class=\"data row24 col1\" >2.82</td>\n",
+ " <td id=\"T_f4ed6_row24_col2\" class=\"data row24 col2\" >98.20</td>\n",
+ " <td id=\"T_f4ed6_row24_col3\" class=\"data row24 col3\" >2.44</td>\n",
+ " <td id=\"T_f4ed6_row24_col4\" class=\"data row24 col4\" >1.47</td>\n",
+ " <td id=\"T_f4ed6_row24_col5\" class=\"data row24 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_f4ed6_row25_col0\" class=\"data row25 col0\" >93.47</td>\n",
+ " <td id=\"T_f4ed6_row25_col1\" class=\"data row25 col1\" >3.36</td>\n",
+ " <td id=\"T_f4ed6_row25_col2\" class=\"data row25 col2\" >97.90</td>\n",
+ " <td id=\"T_f4ed6_row25_col3\" class=\"data row25 col3\" >5.83</td>\n",
+ " <td id=\"T_f4ed6_row25_col4\" class=\"data row25 col4\" >1.25</td>\n",
+ " <td id=\"T_f4ed6_row25_col5\" class=\"data row25 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_f4ed6_row26_col0\" class=\"data row26 col0\" >93.14</td>\n",
+ " <td id=\"T_f4ed6_row26_col1\" class=\"data row26 col1\" >2.85</td>\n",
+ " <td id=\"T_f4ed6_row26_col2\" class=\"data row26 col2\" >97.65</td>\n",
+ " <td id=\"T_f4ed6_row26_col3\" class=\"data row26 col3\" >2.35</td>\n",
+ " <td id=\"T_f4ed6_row26_col4\" class=\"data row26 col4\" >1.67</td>\n",
+ " <td id=\"T_f4ed6_row26_col5\" class=\"data row26 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_f4ed6_row27_col0\" class=\"data row27 col0\" >93.86</td>\n",
+ " <td id=\"T_f4ed6_row27_col1\" class=\"data row27 col1\" >2.82</td>\n",
+ " <td id=\"T_f4ed6_row27_col2\" class=\"data row27 col2\" >99.22</td>\n",
+ " <td id=\"T_f4ed6_row27_col3\" class=\"data row27 col3\" >2.18</td>\n",
+ " <td id=\"T_f4ed6_row27_col4\" class=\"data row27 col4\" >1.21</td>\n",
+ " <td id=\"T_f4ed6_row27_col5\" class=\"data row27 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_f4ed6_row28_col0\" class=\"data row28 col0\" >93.34</td>\n",
+ " <td id=\"T_f4ed6_row28_col1\" class=\"data row28 col1\" >2.70</td>\n",
+ " <td id=\"T_f4ed6_row28_col2\" class=\"data row28 col2\" >98.00</td>\n",
+ " <td id=\"T_f4ed6_row28_col3\" class=\"data row28 col3\" >3.05</td>\n",
+ " <td id=\"T_f4ed6_row28_col4\" class=\"data row28 col4\" >1.47</td>\n",
+ " <td id=\"T_f4ed6_row28_col5\" class=\"data row28 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_f4ed6_row29_col0\" class=\"data row29 col0\" >93.67</td>\n",
+ " <td id=\"T_f4ed6_row29_col1\" class=\"data row29 col1\" >2.61</td>\n",
+ " <td id=\"T_f4ed6_row29_col2\" class=\"data row29 col2\" >98.04</td>\n",
+ " <td id=\"T_f4ed6_row29_col3\" class=\"data row29 col3\" >4.58</td>\n",
+ " <td id=\"T_f4ed6_row29_col4\" class=\"data row29 col4\" >1.28</td>\n",
+ " <td id=\"T_f4ed6_row29_col5\" class=\"data row29 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_f4ed6_row30_col0\" class=\"data row30 col0\" >94.15</td>\n",
+ " <td id=\"T_f4ed6_row30_col1\" class=\"data row30 col1\" >2.78</td>\n",
+ " <td id=\"T_f4ed6_row30_col2\" class=\"data row30 col2\" >98.59</td>\n",
+ " <td id=\"T_f4ed6_row30_col3\" class=\"data row30 col3\" >4.77</td>\n",
+ " <td id=\"T_f4ed6_row30_col4\" class=\"data row30 col4\" >1.23</td>\n",
+ " <td id=\"T_f4ed6_row30_col5\" class=\"data row30 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_f4ed6_row31_col0\" class=\"data row31 col0\" >92.88</td>\n",
+ " <td id=\"T_f4ed6_row31_col1\" class=\"data row31 col1\" >2.96</td>\n",
+ " <td id=\"T_f4ed6_row31_col2\" class=\"data row31 col2\" >97.05</td>\n",
+ " <td id=\"T_f4ed6_row31_col3\" class=\"data row31 col3\" >2.52</td>\n",
+ " <td id=\"T_f4ed6_row31_col4\" class=\"data row31 col4\" >1.59</td>\n",
+ " <td id=\"T_f4ed6_row31_col5\" class=\"data row31 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_f4ed6_row32_col0\" class=\"data row32 col0\" >94.00</td>\n",
+ " <td id=\"T_f4ed6_row32_col1\" class=\"data row32 col1\" >4.04</td>\n",
+ " <td id=\"T_f4ed6_row32_col2\" class=\"data row32 col2\" >98.92</td>\n",
+ " <td id=\"T_f4ed6_row32_col3\" class=\"data row32 col3\" >3.35</td>\n",
+ " <td id=\"T_f4ed6_row32_col4\" class=\"data row32 col4\" >1.13</td>\n",
+ " <td id=\"T_f4ed6_row32_col5\" class=\"data row32 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_f4ed6_row33_col0\" class=\"data row33 col0\" >93.19</td>\n",
+ " <td id=\"T_f4ed6_row33_col1\" class=\"data row33 col1\" >2.49</td>\n",
+ " <td id=\"T_f4ed6_row33_col2\" class=\"data row33 col2\" >97.59</td>\n",
+ " <td id=\"T_f4ed6_row33_col3\" class=\"data row33 col3\" >2.75</td>\n",
+ " <td id=\"T_f4ed6_row33_col4\" class=\"data row33 col4\" >1.60</td>\n",
+ " <td id=\"T_f4ed6_row33_col5\" class=\"data row33 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_f4ed6_row34_col0\" class=\"data row34 col0\" >92.93</td>\n",
+ " <td id=\"T_f4ed6_row34_col1\" class=\"data row34 col1\" >2.63</td>\n",
+ " <td id=\"T_f4ed6_row34_col2\" class=\"data row34 col2\" >97.44</td>\n",
+ " <td id=\"T_f4ed6_row34_col3\" class=\"data row34 col3\" >3.16</td>\n",
+ " <td id=\"T_f4ed6_row34_col4\" class=\"data row34 col4\" >1.64</td>\n",
+ " <td id=\"T_f4ed6_row34_col5\" class=\"data row34 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_f4ed6_row35_col0\" class=\"data row35 col0\" >93.50</td>\n",
+ " <td id=\"T_f4ed6_row35_col1\" class=\"data row35 col1\" >3.34</td>\n",
+ " <td id=\"T_f4ed6_row35_col2\" class=\"data row35 col2\" >98.88</td>\n",
+ " <td id=\"T_f4ed6_row35_col3\" class=\"data row35 col3\" >2.57</td>\n",
+ " <td id=\"T_f4ed6_row35_col4\" class=\"data row35 col4\" >1.17</td>\n",
+ " <td id=\"T_f4ed6_row35_col5\" class=\"data row35 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_f4ed6_row36_col0\" class=\"data row36 col0\" >93.84</td>\n",
+ " <td id=\"T_f4ed6_row36_col1\" class=\"data row36 col1\" >4.30</td>\n",
+ " <td id=\"T_f4ed6_row36_col2\" class=\"data row36 col2\" >99.30</td>\n",
+ " <td id=\"T_f4ed6_row36_col3\" class=\"data row36 col3\" >2.14</td>\n",
+ " <td id=\"T_f4ed6_row36_col4\" class=\"data row36 col4\" >1.13</td>\n",
+ " <td id=\"T_f4ed6_row36_col5\" class=\"data row36 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_f4ed6_row37_col0\" class=\"data row37 col0\" >92.75</td>\n",
+ " <td id=\"T_f4ed6_row37_col1\" class=\"data row37 col1\" >2.85</td>\n",
+ " <td id=\"T_f4ed6_row37_col2\" class=\"data row37 col2\" >97.07</td>\n",
+ " <td id=\"T_f4ed6_row37_col3\" class=\"data row37 col3\" >3.42</td>\n",
+ " <td id=\"T_f4ed6_row37_col4\" class=\"data row37 col4\" >1.60</td>\n",
+ " <td id=\"T_f4ed6_row37_col5\" class=\"data row37 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_f4ed6_row38_col0\" class=\"data row38 col0\" >94.00</td>\n",
+ " <td id=\"T_f4ed6_row38_col1\" class=\"data row38 col1\" >2.95</td>\n",
+ " <td id=\"T_f4ed6_row38_col2\" class=\"data row38 col2\" >98.58</td>\n",
+ " <td id=\"T_f4ed6_row38_col3\" class=\"data row38 col3\" >3.45</td>\n",
+ " <td id=\"T_f4ed6_row38_col4\" class=\"data row38 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row38_col5\" class=\"data row38 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_f4ed6_row39_col0\" class=\"data row39 col0\" >93.19</td>\n",
+ " <td id=\"T_f4ed6_row39_col1\" class=\"data row39 col1\" >2.73</td>\n",
+ " <td id=\"T_f4ed6_row39_col2\" class=\"data row39 col2\" >97.63</td>\n",
+ " <td id=\"T_f4ed6_row39_col3\" class=\"data row39 col3\" >2.57</td>\n",
+ " <td id=\"T_f4ed6_row39_col4\" class=\"data row39 col4\" >1.53</td>\n",
+ " <td id=\"T_f4ed6_row39_col5\" class=\"data row39 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_f4ed6_row40_col0\" class=\"data row40 col0\" >93.76</td>\n",
+ " <td id=\"T_f4ed6_row40_col1\" class=\"data row40 col1\" >3.93</td>\n",
+ " <td id=\"T_f4ed6_row40_col2\" class=\"data row40 col2\" >98.99</td>\n",
+ " <td id=\"T_f4ed6_row40_col3\" class=\"data row40 col3\" >3.79</td>\n",
+ " <td id=\"T_f4ed6_row40_col4\" class=\"data row40 col4\" >1.16</td>\n",
+ " <td id=\"T_f4ed6_row40_col5\" class=\"data row40 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_f4ed6_row41_col0\" class=\"data row41 col0\" >93.15</td>\n",
+ " <td id=\"T_f4ed6_row41_col1\" class=\"data row41 col1\" >2.66</td>\n",
+ " <td id=\"T_f4ed6_row41_col2\" class=\"data row41 col2\" >97.96</td>\n",
+ " <td id=\"T_f4ed6_row41_col3\" class=\"data row41 col3\" >4.94</td>\n",
+ " <td id=\"T_f4ed6_row41_col4\" class=\"data row41 col4\" >1.23</td>\n",
+ " <td id=\"T_f4ed6_row41_col5\" class=\"data row41 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_f4ed6_row42_col0\" class=\"data row42 col0\" >92.80</td>\n",
+ " <td id=\"T_f4ed6_row42_col1\" class=\"data row42 col1\" >2.64</td>\n",
+ " <td id=\"T_f4ed6_row42_col2\" class=\"data row42 col2\" >98.03</td>\n",
+ " <td id=\"T_f4ed6_row42_col3\" class=\"data row42 col3\" >2.25</td>\n",
+ " <td id=\"T_f4ed6_row42_col4\" class=\"data row42 col4\" >1.62</td>\n",
+ " <td id=\"T_f4ed6_row42_col5\" class=\"data row42 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_f4ed6_row43_col0\" class=\"data row43 col0\" >92.79</td>\n",
+ " <td id=\"T_f4ed6_row43_col1\" class=\"data row43 col1\" >2.68</td>\n",
+ " <td id=\"T_f4ed6_row43_col2\" class=\"data row43 col2\" >97.84</td>\n",
+ " <td id=\"T_f4ed6_row43_col3\" class=\"data row43 col3\" >2.21</td>\n",
+ " <td id=\"T_f4ed6_row43_col4\" class=\"data row43 col4\" >1.55</td>\n",
+ " <td id=\"T_f4ed6_row43_col5\" class=\"data row43 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_f4ed6_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_f4ed6_row44_col0\" class=\"data row44 col0\" >96.03</td>\n",
+ " <td id=\"T_f4ed6_row44_col1\" class=\"data row44 col1\" >2.34</td>\n",
+ " <td id=\"T_f4ed6_row44_col2\" class=\"data row44 col2\" >99.21</td>\n",
+ " <td id=\"T_f4ed6_row44_col3\" class=\"data row44 col3\" >1.69</td>\n",
+ " <td id=\"T_f4ed6_row44_col4\" class=\"data row44 col4\" >1.31</td>\n",
+ " <td id=\"T_f4ed6_row44_col5\" class=\"data row44 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_f4ed6_row45_col0\" class=\"data row45 col0\" >95.21</td>\n",
+ " <td id=\"T_f4ed6_row45_col1\" class=\"data row45 col1\" >2.33</td>\n",
+ " <td id=\"T_f4ed6_row45_col2\" class=\"data row45 col2\" >98.84</td>\n",
+ " <td id=\"T_f4ed6_row45_col3\" class=\"data row45 col3\" >2.40</td>\n",
+ " <td id=\"T_f4ed6_row45_col4\" class=\"data row45 col4\" >1.41</td>\n",
+ " <td id=\"T_f4ed6_row45_col5\" class=\"data row45 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_f4ed6_row46_col0\" class=\"data row46 col0\" >95.43</td>\n",
+ " <td id=\"T_f4ed6_row46_col1\" class=\"data row46 col1\" >2.15</td>\n",
+ " <td id=\"T_f4ed6_row46_col2\" class=\"data row46 col2\" >99.05</td>\n",
+ " <td id=\"T_f4ed6_row46_col3\" class=\"data row46 col3\" >2.27</td>\n",
+ " <td id=\"T_f4ed6_row46_col4\" class=\"data row46 col4\" >1.44</td>\n",
+ " <td id=\"T_f4ed6_row46_col5\" class=\"data row46 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_f4ed6_row47_col0\" class=\"data row47 col0\" >93.20</td>\n",
+ " <td id=\"T_f4ed6_row47_col1\" class=\"data row47 col1\" >4.50</td>\n",
+ " <td id=\"T_f4ed6_row47_col2\" class=\"data row47 col2\" >98.90</td>\n",
+ " <td id=\"T_f4ed6_row47_col3\" class=\"data row47 col3\" >3.19</td>\n",
+ " <td id=\"T_f4ed6_row47_col4\" class=\"data row47 col4\" >1.16</td>\n",
+ " <td id=\"T_f4ed6_row47_col5\" class=\"data row47 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_f4ed6_row48_col0\" class=\"data row48 col0\" >95.94</td>\n",
+ " <td id=\"T_f4ed6_row48_col1\" class=\"data row48 col1\" >2.45</td>\n",
+ " <td id=\"T_f4ed6_row48_col2\" class=\"data row48 col2\" >99.34</td>\n",
+ " <td id=\"T_f4ed6_row48_col3\" class=\"data row48 col3\" >1.29</td>\n",
+ " <td id=\"T_f4ed6_row48_col4\" class=\"data row48 col4\" >1.29</td>\n",
+ " <td id=\"T_f4ed6_row48_col5\" class=\"data row48 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_f4ed6_row49_col0\" class=\"data row49 col0\" >94.73</td>\n",
+ " <td id=\"T_f4ed6_row49_col1\" class=\"data row49 col1\" >2.41</td>\n",
+ " <td id=\"T_f4ed6_row49_col2\" class=\"data row49 col2\" >98.58</td>\n",
+ " <td id=\"T_f4ed6_row49_col3\" class=\"data row49 col3\" >2.93</td>\n",
+ " <td id=\"T_f4ed6_row49_col4\" class=\"data row49 col4\" >1.45</td>\n",
+ " <td id=\"T_f4ed6_row49_col5\" class=\"data row49 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_f4ed6_row50_col0\" class=\"data row50 col0\" >93.58</td>\n",
+ " <td id=\"T_f4ed6_row50_col1\" class=\"data row50 col1\" >3.46</td>\n",
+ " <td id=\"T_f4ed6_row50_col2\" class=\"data row50 col2\" >98.19</td>\n",
+ " <td id=\"T_f4ed6_row50_col3\" class=\"data row50 col3\" >4.13</td>\n",
+ " <td id=\"T_f4ed6_row50_col4\" class=\"data row50 col4\" >1.25</td>\n",
+ " <td id=\"T_f4ed6_row50_col5\" class=\"data row50 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_f4ed6_row51_col0\" class=\"data row51 col0\" >95.31</td>\n",
+ " <td id=\"T_f4ed6_row51_col1\" class=\"data row51 col1\" >2.82</td>\n",
+ " <td id=\"T_f4ed6_row51_col2\" class=\"data row51 col2\" >99.06</td>\n",
+ " <td id=\"T_f4ed6_row51_col3\" class=\"data row51 col3\" >1.60</td>\n",
+ " <td id=\"T_f4ed6_row51_col4\" class=\"data row51 col4\" >1.35</td>\n",
+ " <td id=\"T_f4ed6_row51_col5\" class=\"data row51 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_f4ed6_row52_col0\" class=\"data row52 col0\" >95.86</td>\n",
+ " <td id=\"T_f4ed6_row52_col1\" class=\"data row52 col1\" >2.51</td>\n",
+ " <td id=\"T_f4ed6_row52_col2\" class=\"data row52 col2\" >98.87</td>\n",
+ " <td id=\"T_f4ed6_row52_col3\" class=\"data row52 col3\" >2.57</td>\n",
+ " <td id=\"T_f4ed6_row52_col4\" class=\"data row52 col4\" >1.29</td>\n",
+ " <td id=\"T_f4ed6_row52_col5\" class=\"data row52 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_f4ed6_row53_col0\" class=\"data row53 col0\" >92.81</td>\n",
+ " <td id=\"T_f4ed6_row53_col1\" class=\"data row53 col1\" >3.48</td>\n",
+ " <td id=\"T_f4ed6_row53_col2\" class=\"data row53 col2\" >97.80</td>\n",
+ " <td id=\"T_f4ed6_row53_col3\" class=\"data row53 col3\" >7.06</td>\n",
+ " <td id=\"T_f4ed6_row53_col4\" class=\"data row53 col4\" >1.24</td>\n",
+ " <td id=\"T_f4ed6_row53_col5\" class=\"data row53 col5\" >0.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_f4ed6_row54_col0\" class=\"data row54 col0\" >95.59</td>\n",
+ " <td id=\"T_f4ed6_row54_col1\" class=\"data row54 col1\" >2.01</td>\n",
+ " <td id=\"T_f4ed6_row54_col2\" class=\"data row54 col2\" >99.07</td>\n",
+ " <td id=\"T_f4ed6_row54_col3\" class=\"data row54 col3\" >1.73</td>\n",
+ " <td id=\"T_f4ed6_row54_col4\" class=\"data row54 col4\" >1.44</td>\n",
+ " <td id=\"T_f4ed6_row54_col5\" class=\"data row54 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_f4ed6_row55_col0\" class=\"data row55 col0\" >95.27</td>\n",
+ " <td id=\"T_f4ed6_row55_col1\" class=\"data row55 col1\" >2.69</td>\n",
+ " <td id=\"T_f4ed6_row55_col2\" class=\"data row55 col2\" >98.64</td>\n",
+ " <td id=\"T_f4ed6_row55_col3\" class=\"data row55 col3\" >2.52</td>\n",
+ " <td id=\"T_f4ed6_row55_col4\" class=\"data row55 col4\" >1.34</td>\n",
+ " <td id=\"T_f4ed6_row55_col5\" class=\"data row55 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_f4ed6_row56_col0\" class=\"data row56 col0\" >93.99</td>\n",
+ " <td id=\"T_f4ed6_row56_col1\" class=\"data row56 col1\" >5.01</td>\n",
+ " <td id=\"T_f4ed6_row56_col2\" class=\"data row56 col2\" >98.76</td>\n",
+ " <td id=\"T_f4ed6_row56_col3\" class=\"data row56 col3\" >4.01</td>\n",
+ " <td id=\"T_f4ed6_row56_col4\" class=\"data row56 col4\" >1.12</td>\n",
+ " <td id=\"T_f4ed6_row56_col5\" class=\"data row56 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_f4ed6_row57_col0\" class=\"data row57 col0\" >94.98</td>\n",
+ " <td id=\"T_f4ed6_row57_col1\" class=\"data row57 col1\" >2.39</td>\n",
+ " <td id=\"T_f4ed6_row57_col2\" class=\"data row57 col2\" >98.89</td>\n",
+ " <td id=\"T_f4ed6_row57_col3\" class=\"data row57 col3\" >1.92</td>\n",
+ " <td id=\"T_f4ed6_row57_col4\" class=\"data row57 col4\" >1.38</td>\n",
+ " <td id=\"T_f4ed6_row57_col5\" class=\"data row57 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_f4ed6_row58_col0\" class=\"data row58 col0\" >95.16</td>\n",
+ " <td id=\"T_f4ed6_row58_col1\" class=\"data row58 col1\" >2.40</td>\n",
+ " <td id=\"T_f4ed6_row58_col2\" class=\"data row58 col2\" >99.06</td>\n",
+ " <td id=\"T_f4ed6_row58_col3\" class=\"data row58 col3\" >2.12</td>\n",
+ " <td id=\"T_f4ed6_row58_col4\" class=\"data row58 col4\" >1.41</td>\n",
+ " <td id=\"T_f4ed6_row58_col5\" class=\"data row58 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_f4ed6_row59_col0\" class=\"data row59 col0\" >95.34</td>\n",
+ " <td id=\"T_f4ed6_row59_col1\" class=\"data row59 col1\" >2.64</td>\n",
+ " <td id=\"T_f4ed6_row59_col2\" class=\"data row59 col2\" >99.06</td>\n",
+ " <td id=\"T_f4ed6_row59_col3\" class=\"data row59 col3\" >2.16</td>\n",
+ " <td id=\"T_f4ed6_row59_col4\" class=\"data row59 col4\" >1.32</td>\n",
+ " <td id=\"T_f4ed6_row59_col5\" class=\"data row59 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_f4ed6_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_f4ed6_row60_col0\" class=\"data row60 col0\" >96.86</td>\n",
+ " <td id=\"T_f4ed6_row60_col1\" class=\"data row60 col1\" >2.51</td>\n",
+ " <td id=\"T_f4ed6_row60_col2\" class=\"data row60 col2\" >99.75</td>\n",
+ " <td id=\"T_f4ed6_row60_col3\" class=\"data row60 col3\" >1.14</td>\n",
+ " <td id=\"T_f4ed6_row60_col4\" class=\"data row60 col4\" >1.19</td>\n",
+ " <td id=\"T_f4ed6_row60_col5\" class=\"data row60 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_f4ed6_row61_col0\" class=\"data row61 col0\" >96.98</td>\n",
+ " <td id=\"T_f4ed6_row61_col1\" class=\"data row61 col1\" >2.20</td>\n",
+ " <td id=\"T_f4ed6_row61_col2\" class=\"data row61 col2\" >99.41</td>\n",
+ " <td id=\"T_f4ed6_row61_col3\" class=\"data row61 col3\" >1.69</td>\n",
+ " <td id=\"T_f4ed6_row61_col4\" class=\"data row61 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row61_col5\" class=\"data row61 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_f4ed6_row62_col0\" class=\"data row62 col0\" >96.71</td>\n",
+ " <td id=\"T_f4ed6_row62_col1\" class=\"data row62 col1\" >2.42</td>\n",
+ " <td id=\"T_f4ed6_row62_col2\" class=\"data row62 col2\" >99.48</td>\n",
+ " <td id=\"T_f4ed6_row62_col3\" class=\"data row62 col3\" >1.67</td>\n",
+ " <td id=\"T_f4ed6_row62_col4\" class=\"data row62 col4\" >1.26</td>\n",
+ " <td id=\"T_f4ed6_row62_col5\" class=\"data row62 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f4ed6_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_f4ed6_row63_col0\" class=\"data row63 col0\" >97.10</td>\n",
+ " <td id=\"T_f4ed6_row63_col1\" class=\"data row63 col1\" >2.44</td>\n",
+ " <td id=\"T_f4ed6_row63_col2\" class=\"data row63 col2\" >99.78</td>\n",
+ " <td id=\"T_f4ed6_row63_col3\" class=\"data row63 col3\" >0.90</td>\n",
+ " <td id=\"T_f4ed6_row63_col4\" class=\"data row63 col4\" >1.22</td>\n",
+ " <td id=\"T_f4ed6_row63_col5\" class=\"data row63 col5\" >0.09</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0365e50>"
+ "<pandas.io.formats.style.Styler at 0x76062fa0e0d0>"
]
},
"metadata": {},
@@ -7370,352 +7364,352 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_3152e td {\n",
+ "#T_4a251 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_3152e th {\n",
+ "#T_4a251 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_3152e_row0_col0, #T_3152e_row0_col2, #T_3152e_row15_col0, #T_3152e_row15_col2 {\n",
+ "#T_4a251_row0_col0, #T_4a251_row0_col2, #T_4a251_row15_col0, #T_4a251_row15_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row0_col4, #T_3152e_row15_col4 {\n",
+ "#T_4a251_row0_col4, #T_4a251_row15_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row1_col0, #T_3152e_row8_col0 {\n",
+ "#T_4a251_row1_col0, #T_4a251_row8_col0 {\n",
" background-color: #c9f5c9;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row1_col2 {\n",
+ "#T_4a251_row1_col2 {\n",
" background-color: #aef7ae;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row1_col4 {\n",
+ "#T_4a251_row1_col4 {\n",
" background-color: #fc3d3d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row2_col0 {\n",
+ "#T_4a251_row2_col0 {\n",
" background-color: #e1f4e1;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row2_col2, #T_3152e_row3_col0 {\n",
+ "#T_4a251_row2_col2, #T_4a251_row3_col0 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row2_col4 {\n",
+ "#T_4a251_row2_col4 {\n",
" background-color: #fe0a0a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row3_col2 {\n",
+ "#T_4a251_row3_col2 {\n",
" background-color: #e1f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row3_col4 {\n",
+ "#T_4a251_row3_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row4_col0 {\n",
+ "#T_4a251_row4_col0 {\n",
" background-color: #e9f3e9;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row4_col2 {\n",
+ "#T_4a251_row4_col2 {\n",
" background-color: #daf4da;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row4_col4 {\n",
+ "#T_4a251_row4_col4 {\n",
" background-color: #fe1616;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row5_col0 {\n",
+ "#T_4a251_row5_col0 {\n",
" background-color: #c6f5c6;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row5_col2 {\n",
+ "#T_4a251_row5_col2 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row5_col4 {\n",
+ "#T_4a251_row5_col4 {\n",
" background-color: #fc3b3b;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row6_col0 {\n",
+ "#T_4a251_row6_col0 {\n",
" background-color: #c3f6c3;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row6_col2, #T_3152e_row10_col2 {\n",
+ "#T_4a251_row6_col2, #T_4a251_row10_col2 {\n",
" background-color: #7efa7e;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row6_col4 {\n",
+ "#T_4a251_row6_col4 {\n",
" background-color: #fc3e3e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row7_col0 {\n",
+ "#T_4a251_row7_col0 {\n",
" background-color: #c5f5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row7_col2 {\n",
+ "#T_4a251_row7_col2 {\n",
" background-color: #8df98d;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row7_col4 {\n",
+ "#T_4a251_row7_col4 {\n",
" background-color: #fb5757;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row8_col2 {\n",
+ "#T_4a251_row8_col2 {\n",
" background-color: #87fa87;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row8_col4 {\n",
+ "#T_4a251_row8_col4 {\n",
" background-color: #fc3232;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row9_col0 {\n",
+ "#T_4a251_row9_col0 {\n",
" background-color: #c8f5c8;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row9_col2 {\n",
+ "#T_4a251_row9_col2 {\n",
" background-color: #8cf98c;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row9_col4 {\n",
+ "#T_4a251_row9_col4 {\n",
" background-color: #fb4a4a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row10_col0 {\n",
+ "#T_4a251_row10_col0 {\n",
" background-color: #d5f4d5;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row10_col4 {\n",
+ "#T_4a251_row10_col4 {\n",
" background-color: #fc3c3c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_3152e_row11_col0 {\n",
+ "#T_4a251_row11_col0 {\n",
" background-color: #79fa79;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row11_col2 {\n",
+ "#T_4a251_row11_col2 {\n",
" background-color: #4ffd4f;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row11_col4 {\n",
+ "#T_4a251_row11_col4 {\n",
" background-color: #f89090;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row12_col0 {\n",
+ "#T_4a251_row12_col0 {\n",
" background-color: #82fa82;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row12_col2 {\n",
+ "#T_4a251_row12_col2 {\n",
" background-color: #55fd55;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row12_col4 {\n",
+ "#T_4a251_row12_col4 {\n",
" background-color: #f79b9b;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row13_col0 {\n",
+ "#T_4a251_row13_col0 {\n",
" background-color: #7ffa7f;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row13_col2 {\n",
+ "#T_4a251_row13_col2 {\n",
" background-color: #5bfc5b;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row13_col4 {\n",
+ "#T_4a251_row13_col4 {\n",
" background-color: #f7a0a0;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row14_col0 {\n",
+ "#T_4a251_row14_col0 {\n",
" background-color: #83fa83;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row14_col2 {\n",
+ "#T_4a251_row14_col2 {\n",
" background-color: #51fd51;\n",
" color: #000000;\n",
"}\n",
- "#T_3152e_row14_col4 {\n",
+ "#T_4a251_row14_col4 {\n",
" background-color: #f79f9f;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_3152e\">\n",
+ "<table id=\"T_4a251\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_3152e_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
- " <th id=\"T_3152e_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " <th id=\"T_4a251_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_4a251_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_3152e_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_3152e_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_3152e_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_4a251_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_4a251_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_4a251_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_3152e_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_3152e_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
- " <th id=\"T_3152e_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_3152e_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
- " <th id=\"T_3152e_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_3152e_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " <th id=\"T_4a251_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_4a251_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_4a251_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_4a251_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_4a251_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_4a251_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_3152e_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_3152e_row0_col0\" class=\"data row0 col0\" >96.90</td>\n",
- " <td id=\"T_3152e_row0_col1\" class=\"data row0 col1\" >1.43</td>\n",
- " <td id=\"T_3152e_row0_col2\" class=\"data row0 col2\" >99.59</td>\n",
- " <td id=\"T_3152e_row0_col3\" class=\"data row0 col3\" >0.85</td>\n",
- " <td id=\"T_3152e_row0_col4\" class=\"data row0 col4\" >1.24</td>\n",
- " <td id=\"T_3152e_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_3152e_row1_col0\" class=\"data row1 col0\" >93.33</td>\n",
- " <td id=\"T_3152e_row1_col1\" class=\"data row1 col1\" >1.48</td>\n",
- " <td id=\"T_3152e_row1_col2\" class=\"data row1 col2\" >97.04</td>\n",
- " <td id=\"T_3152e_row1_col3\" class=\"data row1 col3\" >1.97</td>\n",
- " <td id=\"T_3152e_row1_col4\" class=\"data row1 col4\" >1.50</td>\n",
- " <td id=\"T_3152e_row1_col5\" class=\"data row1 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_3152e_row2_col0\" class=\"data row2 col0\" >92.77</td>\n",
- " <td id=\"T_3152e_row2_col1\" class=\"data row2 col1\" >1.73</td>\n",
- " <td id=\"T_3152e_row2_col2\" class=\"data row2 col2\" >95.78</td>\n",
- " <td id=\"T_3152e_row2_col3\" class=\"data row2 col3\" >2.13</td>\n",
- " <td id=\"T_3152e_row2_col4\" class=\"data row2 col4\" >1.57</td>\n",
- " <td id=\"T_3152e_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_3152e_row3_col0\" class=\"data row3 col0\" >92.53</td>\n",
- " <td id=\"T_3152e_row3_col1\" class=\"data row3 col1\" >1.65</td>\n",
- " <td id=\"T_3152e_row3_col2\" class=\"data row3 col2\" >95.99</td>\n",
- " <td id=\"T_3152e_row3_col3\" class=\"data row3 col3\" >2.41</td>\n",
- " <td id=\"T_3152e_row3_col4\" class=\"data row3 col4\" >1.59</td>\n",
- " <td id=\"T_3152e_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_3152e_row4_col0\" class=\"data row4 col0\" >92.58</td>\n",
- " <td id=\"T_3152e_row4_col1\" class=\"data row4 col1\" >1.63</td>\n",
- " <td id=\"T_3152e_row4_col2\" class=\"data row4 col2\" >96.13</td>\n",
- " <td id=\"T_3152e_row4_col3\" class=\"data row4 col3\" >1.97</td>\n",
- " <td id=\"T_3152e_row4_col4\" class=\"data row4 col4\" >1.56</td>\n",
- " <td id=\"T_3152e_row4_col5\" class=\"data row4 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_3152e_row5_col0\" class=\"data row5 col0\" >93.40</td>\n",
- " <td id=\"T_3152e_row5_col1\" class=\"data row5 col1\" >1.62</td>\n",
- " <td id=\"T_3152e_row5_col2\" class=\"data row5 col2\" >97.62</td>\n",
- " <td id=\"T_3152e_row5_col3\" class=\"data row5 col3\" >1.85</td>\n",
- " <td id=\"T_3152e_row5_col4\" class=\"data row5 col4\" >1.50</td>\n",
- " <td id=\"T_3152e_row5_col5\" class=\"data row5 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_3152e_row6_col0\" class=\"data row6 col0\" >93.47</td>\n",
- " <td id=\"T_3152e_row6_col1\" class=\"data row6 col1\" >1.50</td>\n",
- " <td id=\"T_3152e_row6_col2\" class=\"data row6 col2\" >98.04</td>\n",
- " <td id=\"T_3152e_row6_col3\" class=\"data row6 col3\" >1.46</td>\n",
- " <td id=\"T_3152e_row6_col4\" class=\"data row6 col4\" >1.50</td>\n",
- " <td id=\"T_3152e_row6_col5\" class=\"data row6 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_3152e_row7_col0\" class=\"data row7 col0\" >93.45</td>\n",
- " <td id=\"T_3152e_row7_col1\" class=\"data row7 col1\" >1.40</td>\n",
- " <td id=\"T_3152e_row7_col2\" class=\"data row7 col2\" >97.74</td>\n",
- " <td id=\"T_3152e_row7_col3\" class=\"data row7 col3\" >1.76</td>\n",
- " <td id=\"T_3152e_row7_col4\" class=\"data row7 col4\" >1.46</td>\n",
- " <td id=\"T_3152e_row7_col5\" class=\"data row7 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_3152e_row8_col0\" class=\"data row8 col0\" >93.34</td>\n",
- " <td id=\"T_3152e_row8_col1\" class=\"data row8 col1\" >1.61</td>\n",
- " <td id=\"T_3152e_row8_col2\" class=\"data row8 col2\" >97.85</td>\n",
- " <td id=\"T_3152e_row8_col3\" class=\"data row8 col3\" >1.88</td>\n",
- " <td id=\"T_3152e_row8_col4\" class=\"data row8 col4\" >1.52</td>\n",
- " <td id=\"T_3152e_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_3152e_row9_col0\" class=\"data row9 col0\" >93.36</td>\n",
- " <td id=\"T_3152e_row9_col1\" class=\"data row9 col1\" >1.60</td>\n",
- " <td id=\"T_3152e_row9_col2\" class=\"data row9 col2\" >97.75</td>\n",
- " <td id=\"T_3152e_row9_col3\" class=\"data row9 col3\" >1.77</td>\n",
- " <td id=\"T_3152e_row9_col4\" class=\"data row9 col4\" >1.48</td>\n",
- " <td id=\"T_3152e_row9_col5\" class=\"data row9 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_3152e_row10_col0\" class=\"data row10 col0\" >93.04</td>\n",
- " <td id=\"T_3152e_row10_col1\" class=\"data row10 col1\" >1.68</td>\n",
- " <td id=\"T_3152e_row10_col2\" class=\"data row10 col2\" >98.04</td>\n",
- " <td id=\"T_3152e_row10_col3\" class=\"data row10 col3\" >1.44</td>\n",
- " <td id=\"T_3152e_row10_col4\" class=\"data row10 col4\" >1.50</td>\n",
- " <td id=\"T_3152e_row10_col5\" class=\"data row10 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_3152e_row11_col0\" class=\"data row11 col0\" >95.23</td>\n",
- " <td id=\"T_3152e_row11_col1\" class=\"data row11 col1\" >1.52</td>\n",
- " <td id=\"T_3152e_row11_col2\" class=\"data row11 col2\" >99.01</td>\n",
- " <td id=\"T_3152e_row11_col3\" class=\"data row11 col3\" >1.21</td>\n",
- " <td id=\"T_3152e_row11_col4\" class=\"data row11 col4\" >1.38</td>\n",
- " <td id=\"T_3152e_row11_col5\" class=\"data row11 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_3152e_row12_col0\" class=\"data row12 col0\" >95.03</td>\n",
- " <td id=\"T_3152e_row12_col1\" class=\"data row12 col1\" >1.60</td>\n",
- " <td id=\"T_3152e_row12_col2\" class=\"data row12 col2\" >98.90</td>\n",
- " <td id=\"T_3152e_row12_col3\" class=\"data row12 col3\" >1.25</td>\n",
- " <td id=\"T_3152e_row12_col4\" class=\"data row12 col4\" >1.36</td>\n",
- " <td id=\"T_3152e_row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_3152e_row13_col0\" class=\"data row13 col0\" >95.09</td>\n",
- " <td id=\"T_3152e_row13_col1\" class=\"data row13 col1\" >1.50</td>\n",
- " <td id=\"T_3152e_row13_col2\" class=\"data row13 col2\" >98.75</td>\n",
- " <td id=\"T_3152e_row13_col3\" class=\"data row13 col3\" >1.35</td>\n",
- " <td id=\"T_3152e_row13_col4\" class=\"data row13 col4\" >1.35</td>\n",
- " <td id=\"T_3152e_row13_col5\" class=\"data row13 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_3152e_row14_col0\" class=\"data row14 col0\" >95.00</td>\n",
- " <td id=\"T_3152e_row14_col1\" class=\"data row14 col1\" >1.43</td>\n",
- " <td id=\"T_3152e_row14_col2\" class=\"data row14 col2\" >98.98</td>\n",
- " <td id=\"T_3152e_row14_col3\" class=\"data row14 col3\" >1.24</td>\n",
- " <td id=\"T_3152e_row14_col4\" class=\"data row14 col4\" >1.36</td>\n",
- " <td id=\"T_3152e_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_3152e_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_3152e_row15_col0\" class=\"data row15 col0\" >96.90</td>\n",
- " <td id=\"T_3152e_row15_col1\" class=\"data row15 col1\" >1.43</td>\n",
- " <td id=\"T_3152e_row15_col2\" class=\"data row15 col2\" >99.59</td>\n",
- " <td id=\"T_3152e_row15_col3\" class=\"data row15 col3\" >0.85</td>\n",
- " <td id=\"T_3152e_row15_col4\" class=\"data row15 col4\" >1.24</td>\n",
- " <td id=\"T_3152e_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
+ " <th id=\"T_4a251_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_4a251_row0_col0\" class=\"data row0 col0\" >96.90</td>\n",
+ " <td id=\"T_4a251_row0_col1\" class=\"data row0 col1\" >1.43</td>\n",
+ " <td id=\"T_4a251_row0_col2\" class=\"data row0 col2\" >99.59</td>\n",
+ " <td id=\"T_4a251_row0_col3\" class=\"data row0 col3\" >0.85</td>\n",
+ " <td id=\"T_4a251_row0_col4\" class=\"data row0 col4\" >1.24</td>\n",
+ " <td id=\"T_4a251_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_4a251_row1_col0\" class=\"data row1 col0\" >93.33</td>\n",
+ " <td id=\"T_4a251_row1_col1\" class=\"data row1 col1\" >1.48</td>\n",
+ " <td id=\"T_4a251_row1_col2\" class=\"data row1 col2\" >97.04</td>\n",
+ " <td id=\"T_4a251_row1_col3\" class=\"data row1 col3\" >1.97</td>\n",
+ " <td id=\"T_4a251_row1_col4\" class=\"data row1 col4\" >1.50</td>\n",
+ " <td id=\"T_4a251_row1_col5\" class=\"data row1 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_4a251_row2_col0\" class=\"data row2 col0\" >92.77</td>\n",
+ " <td id=\"T_4a251_row2_col1\" class=\"data row2 col1\" >1.73</td>\n",
+ " <td id=\"T_4a251_row2_col2\" class=\"data row2 col2\" >95.78</td>\n",
+ " <td id=\"T_4a251_row2_col3\" class=\"data row2 col3\" >2.13</td>\n",
+ " <td id=\"T_4a251_row2_col4\" class=\"data row2 col4\" >1.57</td>\n",
+ " <td id=\"T_4a251_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_4a251_row3_col0\" class=\"data row3 col0\" >92.53</td>\n",
+ " <td id=\"T_4a251_row3_col1\" class=\"data row3 col1\" >1.65</td>\n",
+ " <td id=\"T_4a251_row3_col2\" class=\"data row3 col2\" >95.99</td>\n",
+ " <td id=\"T_4a251_row3_col3\" class=\"data row3 col3\" >2.41</td>\n",
+ " <td id=\"T_4a251_row3_col4\" class=\"data row3 col4\" >1.59</td>\n",
+ " <td id=\"T_4a251_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_4a251_row4_col0\" class=\"data row4 col0\" >92.58</td>\n",
+ " <td id=\"T_4a251_row4_col1\" class=\"data row4 col1\" >1.63</td>\n",
+ " <td id=\"T_4a251_row4_col2\" class=\"data row4 col2\" >96.13</td>\n",
+ " <td id=\"T_4a251_row4_col3\" class=\"data row4 col3\" >1.97</td>\n",
+ " <td id=\"T_4a251_row4_col4\" class=\"data row4 col4\" >1.56</td>\n",
+ " <td id=\"T_4a251_row4_col5\" class=\"data row4 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_4a251_row5_col0\" class=\"data row5 col0\" >93.40</td>\n",
+ " <td id=\"T_4a251_row5_col1\" class=\"data row5 col1\" >1.62</td>\n",
+ " <td id=\"T_4a251_row5_col2\" class=\"data row5 col2\" >97.62</td>\n",
+ " <td id=\"T_4a251_row5_col3\" class=\"data row5 col3\" >1.85</td>\n",
+ " <td id=\"T_4a251_row5_col4\" class=\"data row5 col4\" >1.50</td>\n",
+ " <td id=\"T_4a251_row5_col5\" class=\"data row5 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_4a251_row6_col0\" class=\"data row6 col0\" >93.47</td>\n",
+ " <td id=\"T_4a251_row6_col1\" class=\"data row6 col1\" >1.50</td>\n",
+ " <td id=\"T_4a251_row6_col2\" class=\"data row6 col2\" >98.04</td>\n",
+ " <td id=\"T_4a251_row6_col3\" class=\"data row6 col3\" >1.46</td>\n",
+ " <td id=\"T_4a251_row6_col4\" class=\"data row6 col4\" >1.50</td>\n",
+ " <td id=\"T_4a251_row6_col5\" class=\"data row6 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_4a251_row7_col0\" class=\"data row7 col0\" >93.45</td>\n",
+ " <td id=\"T_4a251_row7_col1\" class=\"data row7 col1\" >1.40</td>\n",
+ " <td id=\"T_4a251_row7_col2\" class=\"data row7 col2\" >97.74</td>\n",
+ " <td id=\"T_4a251_row7_col3\" class=\"data row7 col3\" >1.76</td>\n",
+ " <td id=\"T_4a251_row7_col4\" class=\"data row7 col4\" >1.46</td>\n",
+ " <td id=\"T_4a251_row7_col5\" class=\"data row7 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_4a251_row8_col0\" class=\"data row8 col0\" >93.34</td>\n",
+ " <td id=\"T_4a251_row8_col1\" class=\"data row8 col1\" >1.61</td>\n",
+ " <td id=\"T_4a251_row8_col2\" class=\"data row8 col2\" >97.85</td>\n",
+ " <td id=\"T_4a251_row8_col3\" class=\"data row8 col3\" >1.88</td>\n",
+ " <td id=\"T_4a251_row8_col4\" class=\"data row8 col4\" >1.52</td>\n",
+ " <td id=\"T_4a251_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_4a251_row9_col0\" class=\"data row9 col0\" >93.36</td>\n",
+ " <td id=\"T_4a251_row9_col1\" class=\"data row9 col1\" >1.60</td>\n",
+ " <td id=\"T_4a251_row9_col2\" class=\"data row9 col2\" >97.75</td>\n",
+ " <td id=\"T_4a251_row9_col3\" class=\"data row9 col3\" >1.77</td>\n",
+ " <td id=\"T_4a251_row9_col4\" class=\"data row9 col4\" >1.48</td>\n",
+ " <td id=\"T_4a251_row9_col5\" class=\"data row9 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_4a251_row10_col0\" class=\"data row10 col0\" >93.04</td>\n",
+ " <td id=\"T_4a251_row10_col1\" class=\"data row10 col1\" >1.68</td>\n",
+ " <td id=\"T_4a251_row10_col2\" class=\"data row10 col2\" >98.04</td>\n",
+ " <td id=\"T_4a251_row10_col3\" class=\"data row10 col3\" >1.44</td>\n",
+ " <td id=\"T_4a251_row10_col4\" class=\"data row10 col4\" >1.50</td>\n",
+ " <td id=\"T_4a251_row10_col5\" class=\"data row10 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_4a251_row11_col0\" class=\"data row11 col0\" >95.23</td>\n",
+ " <td id=\"T_4a251_row11_col1\" class=\"data row11 col1\" >1.52</td>\n",
+ " <td id=\"T_4a251_row11_col2\" class=\"data row11 col2\" >99.01</td>\n",
+ " <td id=\"T_4a251_row11_col3\" class=\"data row11 col3\" >1.21</td>\n",
+ " <td id=\"T_4a251_row11_col4\" class=\"data row11 col4\" >1.38</td>\n",
+ " <td id=\"T_4a251_row11_col5\" class=\"data row11 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_4a251_row12_col0\" class=\"data row12 col0\" >95.03</td>\n",
+ " <td id=\"T_4a251_row12_col1\" class=\"data row12 col1\" >1.60</td>\n",
+ " <td id=\"T_4a251_row12_col2\" class=\"data row12 col2\" >98.90</td>\n",
+ " <td id=\"T_4a251_row12_col3\" class=\"data row12 col3\" >1.25</td>\n",
+ " <td id=\"T_4a251_row12_col4\" class=\"data row12 col4\" >1.36</td>\n",
+ " <td id=\"T_4a251_row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_4a251_row13_col0\" class=\"data row13 col0\" >95.09</td>\n",
+ " <td id=\"T_4a251_row13_col1\" class=\"data row13 col1\" >1.50</td>\n",
+ " <td id=\"T_4a251_row13_col2\" class=\"data row13 col2\" >98.75</td>\n",
+ " <td id=\"T_4a251_row13_col3\" class=\"data row13 col3\" >1.35</td>\n",
+ " <td id=\"T_4a251_row13_col4\" class=\"data row13 col4\" >1.35</td>\n",
+ " <td id=\"T_4a251_row13_col5\" class=\"data row13 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_4a251_row14_col0\" class=\"data row14 col0\" >95.00</td>\n",
+ " <td id=\"T_4a251_row14_col1\" class=\"data row14 col1\" >1.43</td>\n",
+ " <td id=\"T_4a251_row14_col2\" class=\"data row14 col2\" >98.98</td>\n",
+ " <td id=\"T_4a251_row14_col3\" class=\"data row14 col3\" >1.24</td>\n",
+ " <td id=\"T_4a251_row14_col4\" class=\"data row14 col4\" >1.36</td>\n",
+ " <td id=\"T_4a251_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4a251_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_4a251_row15_col0\" class=\"data row15 col0\" >96.90</td>\n",
+ " <td id=\"T_4a251_row15_col1\" class=\"data row15 col1\" >1.43</td>\n",
+ " <td id=\"T_4a251_row15_col2\" class=\"data row15 col2\" >99.59</td>\n",
+ " <td id=\"T_4a251_row15_col3\" class=\"data row15 col3\" >0.85</td>\n",
+ " <td id=\"T_4a251_row15_col4\" class=\"data row15 col4\" >1.24</td>\n",
+ " <td id=\"T_4a251_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a215c890>"
+ "<pandas.io.formats.style.Styler at 0x7606322860d0>"
]
},
"metadata": {},
@@ -7728,1020 +7722,1020 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_1a926 td {\n",
+ "#T_fd728 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_1a926 th {\n",
+ "#T_fd728 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_1a926_row0_col0, #T_1a926_row0_col2 {\n",
+ "#T_fd728_row0_col0, #T_fd728_row0_col2 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row0_col4, #T_1a926_row60_col4 {\n",
+ "#T_fd728_row0_col4, #T_fd728_row60_col4 {\n",
" background-color: #fa6b6b;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row1_col0, #T_1a926_row1_col2 {\n",
+ "#T_fd728_row1_col0, #T_fd728_row1_col2 {\n",
" background-color: #74fb74;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row1_col4, #T_1a926_row61_col4 {\n",
+ "#T_fd728_row1_col4, #T_fd728_row61_col4 {\n",
" background-color: #f88c8c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row2_col0, #T_1a926_row2_col2 {\n",
+ "#T_fd728_row2_col0, #T_fd728_row2_col2 {\n",
" background-color: #70fb70;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row2_col4, #T_1a926_row3_col4, #T_1a926_row62_col4, #T_1a926_row63_col4 {\n",
+ "#T_fd728_row2_col4, #T_fd728_row3_col4, #T_fd728_row62_col4, #T_fd728_row63_col4 {\n",
" background-color: #f79a9a;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row3_col0, #T_1a926_row3_col2 {\n",
+ "#T_fd728_row3_col0, #T_fd728_row3_col2 {\n",
" background-color: #73fb73;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row4_col0, #T_1a926_row4_col2 {\n",
+ "#T_fd728_row4_col0, #T_fd728_row4_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row4_col4 {\n",
+ "#T_fd728_row4_col4 {\n",
" background-color: #f3e7e7;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row5_col0, #T_1a926_row5_col2 {\n",
+ "#T_fd728_row5_col0, #T_fd728_row5_col2 {\n",
" background-color: #97f897;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row5_col4 {\n",
+ "#T_fd728_row5_col4 {\n",
" background-color: #fa6363;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row6_col0, #T_1a926_row6_col2 {\n",
+ "#T_fd728_row6_col0, #T_fd728_row6_col2 {\n",
" background-color: #94f994;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row6_col4 {\n",
+ "#T_fd728_row6_col4 {\n",
" background-color: #f96e6e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row7_col0, #T_1a926_row7_col2 {\n",
+ "#T_fd728_row7_col0, #T_fd728_row7_col2 {\n",
" background-color: #99f899;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row7_col4 {\n",
+ "#T_fd728_row7_col4 {\n",
" background-color: #fa6565;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row8_col0, #T_1a926_row8_col2, #T_1a926_row24_col0, #T_1a926_row24_col2 {\n",
+ "#T_fd728_row8_col0, #T_fd728_row8_col2, #T_fd728_row24_col0, #T_fd728_row24_col2 {\n",
" background-color: #a3f8a3;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row8_col4, #T_1a926_row16_col4, #T_1a926_row29_col4 {\n",
+ "#T_fd728_row8_col4, #T_fd728_row16_col4, #T_fd728_row29_col4 {\n",
" background-color: #fc4141;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row9_col0, #T_1a926_row9_col2 {\n",
+ "#T_fd728_row9_col0, #T_fd728_row9_col2 {\n",
" background-color: #3aff3a;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row9_col4 {\n",
+ "#T_fd728_row9_col4 {\n",
" background-color: #f3ecec;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row10_col0, #T_1a926_row10_col2 {\n",
+ "#T_fd728_row10_col0, #T_fd728_row10_col2 {\n",
" background-color: #8df98d;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row10_col4 {\n",
+ "#T_fd728_row10_col4 {\n",
" background-color: #f97878;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row11_col0, #T_1a926_row11_col2 {\n",
+ "#T_fd728_row11_col0, #T_fd728_row11_col2 {\n",
" background-color: #91f991;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row11_col4 {\n",
+ "#T_fd728_row11_col4 {\n",
" background-color: #f97272;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row12_col0, #T_1a926_row12_col2, #T_1a926_row21_col0, #T_1a926_row21_col2 {\n",
+ "#T_fd728_row12_col0, #T_fd728_row12_col2, #T_fd728_row21_col0, #T_fd728_row21_col2 {\n",
" background-color: #a1f8a1;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row12_col4, #T_1a926_row22_col4 {\n",
+ "#T_fd728_row12_col4, #T_fd728_row22_col4 {\n",
" background-color: #fc4444;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row13_col0, #T_1a926_row13_col2, #T_1a926_row17_col0, #T_1a926_row17_col2 {\n",
+ "#T_fd728_row13_col0, #T_fd728_row13_col2, #T_fd728_row17_col0, #T_fd728_row17_col2 {\n",
" background-color: #8ef98e;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row13_col4, #T_1a926_row17_col4 {\n",
+ "#T_fd728_row13_col4, #T_fd728_row17_col4 {\n",
" background-color: #f97070;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row14_col0, #T_1a926_row14_col2 {\n",
+ "#T_fd728_row14_col0, #T_fd728_row14_col2 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row14_col4, #T_1a926_row19_col4 {\n",
+ "#T_fd728_row14_col4, #T_fd728_row19_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row15_col0, #T_1a926_row15_col2 {\n",
+ "#T_fd728_row15_col0, #T_fd728_row15_col2 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row15_col4 {\n",
+ "#T_fd728_row15_col4 {\n",
" background-color: #f97373;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row16_col0, #T_1a926_row16_col2 {\n",
+ "#T_fd728_row16_col0, #T_fd728_row16_col2 {\n",
" background-color: #a2f8a2;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row18_col0, #T_1a926_row18_col2 {\n",
+ "#T_fd728_row18_col0, #T_fd728_row18_col2 {\n",
" background-color: #8af98a;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row18_col4 {\n",
+ "#T_fd728_row18_col4 {\n",
" background-color: #f97d7d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row19_col0, #T_1a926_row19_col2 {\n",
+ "#T_fd728_row19_col0, #T_fd728_row19_col2 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row20_col0, #T_1a926_row20_col2 {\n",
+ "#T_fd728_row20_col0, #T_fd728_row20_col2 {\n",
" background-color: #a4f8a4;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row20_col4 {\n",
+ "#T_fd728_row20_col4 {\n",
" background-color: #f5c5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row21_col4 {\n",
+ "#T_fd728_row21_col4 {\n",
" background-color: #f4d9d9;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row22_col0, #T_1a926_row22_col2, #T_1a926_row29_col0, #T_1a926_row29_col2, #T_1a926_row35_col0, #T_1a926_row35_col2 {\n",
+ "#T_fd728_row22_col0, #T_fd728_row22_col2, #T_fd728_row29_col0, #T_fd728_row29_col2, #T_fd728_row35_col0, #T_fd728_row35_col2 {\n",
" background-color: #aef7ae;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row23_col0, #T_1a926_row23_col2 {\n",
+ "#T_fd728_row23_col0, #T_fd728_row23_col2 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row23_col4, #T_1a926_row27_col4 {\n",
+ "#T_fd728_row23_col4, #T_fd728_row27_col4 {\n",
" background-color: #fc3838;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row24_col4, #T_1a926_row46_col4 {\n",
+ "#T_fd728_row24_col4, #T_fd728_row46_col4 {\n",
" background-color: #f5c6c6;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row25_col0, #T_1a926_row25_col2, #T_1a926_row34_col0, #T_1a926_row34_col2 {\n",
+ "#T_fd728_row25_col0, #T_fd728_row25_col2, #T_fd728_row34_col0, #T_fd728_row34_col2 {\n",
" background-color: #b0f7b0;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row25_col4 {\n",
+ "#T_fd728_row25_col4 {\n",
" background-color: #fc3c3c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row26_col0, #T_1a926_row26_col2 {\n",
+ "#T_fd728_row26_col0, #T_fd728_row26_col2 {\n",
" background-color: #a0f8a0;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row26_col4 {\n",
+ "#T_fd728_row26_col4 {\n",
" background-color: #f4e1e1;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row27_col0, #T_1a926_row27_col2, #T_1a926_row43_col0, #T_1a926_row43_col2 {\n",
+ "#T_fd728_row27_col0, #T_fd728_row27_col2, #T_fd728_row43_col0, #T_fd728_row43_col2 {\n",
" background-color: #b2f7b2;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row28_col0, #T_1a926_row28_col2 {\n",
+ "#T_fd728_row28_col0, #T_fd728_row28_col2 {\n",
" background-color: #a6f7a6;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row28_col4 {\n",
+ "#T_fd728_row28_col4 {\n",
" background-color: #f5bfbf;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row30_col0, #T_1a926_row30_col2, #T_1a926_row33_col0, #T_1a926_row33_col2, #T_1a926_row41_col0, #T_1a926_row41_col2 {\n",
+ "#T_fd728_row30_col0, #T_fd728_row30_col2, #T_fd728_row33_col0, #T_fd728_row33_col2, #T_fd728_row41_col0, #T_fd728_row41_col2 {\n",
" background-color: #abf7ab;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row30_col4, #T_1a926_row35_col4, #T_1a926_row41_col4 {\n",
+ "#T_fd728_row30_col4, #T_fd728_row35_col4, #T_fd728_row41_col4 {\n",
" background-color: #fc4545;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row31_col0, #T_1a926_row31_col2, #T_1a926_row37_col0, #T_1a926_row37_col2 {\n",
+ "#T_fd728_row31_col0, #T_fd728_row31_col2, #T_fd728_row37_col0, #T_fd728_row37_col2 {\n",
" background-color: #adf7ad;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row31_col4 {\n",
+ "#T_fd728_row31_col4 {\n",
" background-color: #f4dcdc;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row32_col0, #T_1a926_row32_col2 {\n",
+ "#T_fd728_row32_col0, #T_fd728_row32_col2 {\n",
" background-color: #b8f6b8;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row32_col4, #T_1a926_row40_col4 {\n",
+ "#T_fd728_row32_col4, #T_fd728_row40_col4 {\n",
" background-color: #fd2121;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row33_col4 {\n",
+ "#T_fd728_row33_col4 {\n",
" background-color: #f4d7d7;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row34_col4, #T_1a926_row42_col4 {\n",
+ "#T_fd728_row34_col4, #T_fd728_row42_col4 {\n",
" background-color: #f4dbdb;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row36_col0, #T_1a926_row36_col2 {\n",
+ "#T_fd728_row36_col0, #T_fd728_row36_col2 {\n",
" background-color: #baf6ba;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row36_col4, #T_1a926_row50_col4 {\n",
+ "#T_fd728_row36_col4, #T_fd728_row50_col4 {\n",
" background-color: #fe1d1d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row37_col4 {\n",
+ "#T_fd728_row37_col4 {\n",
" background-color: #f4d5d5;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row38_col0, #T_1a926_row38_col2 {\n",
+ "#T_fd728_row38_col0, #T_fd728_row38_col2 {\n",
" background-color: #a9f7a9;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row38_col4 {\n",
+ "#T_fd728_row38_col4 {\n",
" background-color: #fb5252;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row39_col0, #T_1a926_row39_col2 {\n",
+ "#T_fd728_row39_col0, #T_fd728_row39_col2 {\n",
" background-color: #b6f6b6;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row39_col4, #T_1a926_row43_col4 {\n",
+ "#T_fd728_row39_col4, #T_fd728_row43_col4 {\n",
" background-color: #f4dada;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row40_col0, #T_1a926_row40_col2 {\n",
+ "#T_fd728_row40_col0, #T_fd728_row40_col2 {\n",
" background-color: #bbf6bb;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row42_col0, #T_1a926_row42_col2 {\n",
+ "#T_fd728_row42_col0, #T_fd728_row42_col2 {\n",
" background-color: #aff7af;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row44_col0, #T_1a926_row44_col2, #T_1a926_row48_col0, #T_1a926_row48_col2 {\n",
+ "#T_fd728_row44_col0, #T_fd728_row44_col2, #T_fd728_row48_col0, #T_fd728_row48_col2 {\n",
" background-color: #d1f5d1;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row44_col4 {\n",
+ "#T_fd728_row44_col4 {\n",
" background-color: #f79c9c;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row45_col0, #T_1a926_row45_col2 {\n",
+ "#T_fd728_row45_col0, #T_fd728_row45_col2 {\n",
" background-color: #d3f5d3;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row45_col4, #T_1a926_row49_col4 {\n",
+ "#T_fd728_row45_col4, #T_fd728_row49_col4 {\n",
" background-color: #f6b6b6;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row46_col0, #T_1a926_row46_col2, #T_1a926_row52_col0, #T_1a926_row52_col2 {\n",
+ "#T_fd728_row46_col0, #T_fd728_row46_col2, #T_fd728_row52_col0, #T_fd728_row52_col2 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row47_col0, #T_1a926_row47_col2 {\n",
+ "#T_fd728_row47_col0, #T_fd728_row47_col2 {\n",
" background-color: #cbf5cb;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row47_col4 {\n",
+ "#T_fd728_row47_col4 {\n",
" background-color: #fe0b0b;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row48_col4 {\n",
+ "#T_fd728_row48_col4 {\n",
" background-color: #f79595;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row49_col0, #T_1a926_row49_col2 {\n",
+ "#T_fd728_row49_col0, #T_fd728_row49_col2 {\n",
" background-color: #cff5cf;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row50_col0, #T_1a926_row50_col2, #T_1a926_row53_col0, #T_1a926_row53_col2 {\n",
+ "#T_fd728_row50_col0, #T_fd728_row50_col2, #T_fd728_row53_col0, #T_fd728_row53_col2 {\n",
" background-color: #c5f5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row51_col0, #T_1a926_row51_col2 {\n",
+ "#T_fd728_row51_col0, #T_fd728_row51_col2 {\n",
" background-color: #daf4da;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row51_col4 {\n",
+ "#T_fd728_row51_col4 {\n",
" background-color: #f5c0c0;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row52_col4 {\n",
+ "#T_fd728_row52_col4 {\n",
" background-color: #f89494;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row53_col4 {\n",
+ "#T_fd728_row53_col4 {\n",
" background-color: #fe1818;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row54_col0, #T_1a926_row54_col2 {\n",
+ "#T_fd728_row54_col0, #T_fd728_row54_col2 {\n",
" background-color: #d2f5d2;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row54_col4 {\n",
+ "#T_fd728_row54_col4 {\n",
" background-color: #f5bdbd;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row55_col0, #T_1a926_row55_col2 {\n",
+ "#T_fd728_row55_col0, #T_fd728_row55_col2 {\n",
" background-color: #d9f4d9;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row55_col4 {\n",
+ "#T_fd728_row55_col4 {\n",
" background-color: #f5bebe;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row56_col0, #T_1a926_row56_col2 {\n",
+ "#T_fd728_row56_col0, #T_fd728_row56_col2 {\n",
" background-color: #cdf5cd;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row56_col4 {\n",
+ "#T_fd728_row56_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_1a926_row57_col0, #T_1a926_row57_col2, #T_1a926_row58_col0, #T_1a926_row58_col2 {\n",
+ "#T_fd728_row57_col0, #T_fd728_row57_col2, #T_fd728_row58_col0, #T_fd728_row58_col2 {\n",
" background-color: #d6f4d6;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row57_col4 {\n",
+ "#T_fd728_row57_col4 {\n",
" background-color: #f6b0b0;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row58_col4 {\n",
+ "#T_fd728_row58_col4 {\n",
" background-color: #f6b8b7;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row59_col0, #T_1a926_row59_col2 {\n",
+ "#T_fd728_row59_col0, #T_fd728_row59_col2 {\n",
" background-color: #dbf4db;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row59_col4 {\n",
+ "#T_fd728_row59_col4 {\n",
" background-color: #f6b8b8;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row60_col0, #T_1a926_row60_col2 {\n",
+ "#T_fd728_row60_col0, #T_fd728_row60_col2 {\n",
" background-color: #e8f3e8;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row61_col0, #T_1a926_row61_col2 {\n",
+ "#T_fd728_row61_col0, #T_fd728_row61_col2 {\n",
" background-color: #e5f3e5;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row62_col0, #T_1a926_row62_col2 {\n",
+ "#T_fd728_row62_col0, #T_fd728_row62_col2 {\n",
" background-color: #e7f3e7;\n",
" color: #000000;\n",
"}\n",
- "#T_1a926_row63_col0, #T_1a926_row63_col2 {\n",
+ "#T_fd728_row63_col0, #T_fd728_row63_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_1a926\">\n",
+ "<table id=\"T_fd728\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_1a926_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
- " <th id=\"T_1a926_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
- " <th id=\"T_1a926_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " <th id=\"T_fd728_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_fd728_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_fd728_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_1a926_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
- " <th id=\"T_1a926_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
- " <th id=\"T_1a926_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
- " <th id=\"T_1a926_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
- " <th id=\"T_1a926_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
- " <th id=\"T_1a926_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " <th id=\"T_fd728_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_fd728_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_fd728_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_fd728_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_fd728_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_fd728_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_1a926_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_1a926_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_1a926_row0_col0\" class=\"data row0 col0\" >19.78</td>\n",
- " <td id=\"T_1a926_row0_col1\" class=\"data row0 col1\" >1.99</td>\n",
- " <td id=\"T_1a926_row0_col2\" class=\"data row0 col2\" >1.43</td>\n",
- " <td id=\"T_1a926_row0_col3\" class=\"data row0 col3\" >0.14</td>\n",
- " <td id=\"T_1a926_row0_col4\" class=\"data row0 col4\" >42.06</td>\n",
- " <td id=\"T_1a926_row0_col5\" class=\"data row0 col5\" >7.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_1a926_row1_col0\" class=\"data row1 col0\" >23.47</td>\n",
- " <td id=\"T_1a926_row1_col1\" class=\"data row1 col1\" >2.29</td>\n",
- " <td id=\"T_1a926_row1_col2\" class=\"data row1 col2\" >1.70</td>\n",
- " <td id=\"T_1a926_row1_col3\" class=\"data row1 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row1_col4\" class=\"data row1 col4\" >32.02</td>\n",
- " <td id=\"T_1a926_row1_col5\" class=\"data row1 col5\" >5.70</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_1a926_row2_col0\" class=\"data row2 col0\" >24.03</td>\n",
- " <td id=\"T_1a926_row2_col1\" class=\"data row2 col1\" >2.56</td>\n",
- " <td id=\"T_1a926_row2_col2\" class=\"data row2 col2\" >1.74</td>\n",
- " <td id=\"T_1a926_row2_col3\" class=\"data row2 col3\" >0.18</td>\n",
- " <td id=\"T_1a926_row2_col4\" class=\"data row2 col4\" >27.88</td>\n",
- " <td id=\"T_1a926_row2_col5\" class=\"data row2 col5\" >5.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_1a926_row3_col0\" class=\"data row3 col0\" >23.49</td>\n",
- " <td id=\"T_1a926_row3_col1\" class=\"data row3 col1\" >2.19</td>\n",
- " <td id=\"T_1a926_row3_col2\" class=\"data row3 col2\" >1.70</td>\n",
- " <td id=\"T_1a926_row3_col3\" class=\"data row3 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row3_col4\" class=\"data row3 col4\" >28.03</td>\n",
- " <td id=\"T_1a926_row3_col5\" class=\"data row3 col5\" >4.64</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_1a926_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_1a926_row4_col0\" class=\"data row4 col0\" >35.15</td>\n",
- " <td id=\"T_1a926_row4_col1\" class=\"data row4 col1\" >3.85</td>\n",
- " <td id=\"T_1a926_row4_col2\" class=\"data row4 col2\" >2.54</td>\n",
- " <td id=\"T_1a926_row4_col3\" class=\"data row4 col3\" >0.28</td>\n",
- " <td id=\"T_1a926_row4_col4\" class=\"data row4 col4\" >5.21</td>\n",
- " <td id=\"T_1a926_row4_col5\" class=\"data row4 col5\" >2.66</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_1a926_row5_col0\" class=\"data row5 col0\" >16.96</td>\n",
- " <td id=\"T_1a926_row5_col1\" class=\"data row5 col1\" >2.02</td>\n",
- " <td id=\"T_1a926_row5_col2\" class=\"data row5 col2\" >1.23</td>\n",
- " <td id=\"T_1a926_row5_col3\" class=\"data row5 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row5_col4\" class=\"data row5 col4\" >44.48</td>\n",
- " <td id=\"T_1a926_row5_col5\" class=\"data row5 col5\" >5.73</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_1a926_row6_col0\" class=\"data row6 col0\" >17.48</td>\n",
- " <td id=\"T_1a926_row6_col1\" class=\"data row6 col1\" >2.23</td>\n",
- " <td id=\"T_1a926_row6_col2\" class=\"data row6 col2\" >1.26</td>\n",
- " <td id=\"T_1a926_row6_col3\" class=\"data row6 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row6_col4\" class=\"data row6 col4\" >41.11</td>\n",
- " <td id=\"T_1a926_row6_col5\" class=\"data row6 col5\" >6.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_1a926_row7_col0\" class=\"data row7 col0\" >16.56</td>\n",
- " <td id=\"T_1a926_row7_col1\" class=\"data row7 col1\" >2.22</td>\n",
- " <td id=\"T_1a926_row7_col2\" class=\"data row7 col2\" >1.20</td>\n",
- " <td id=\"T_1a926_row7_col3\" class=\"data row7 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row7_col4\" class=\"data row7 col4\" >43.98</td>\n",
- " <td id=\"T_1a926_row7_col5\" class=\"data row7 col5\" >5.98</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_1a926_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_1a926_row8_col0\" class=\"data row8 col0\" >14.74</td>\n",
- " <td id=\"T_1a926_row8_col1\" class=\"data row8 col1\" >2.39</td>\n",
- " <td id=\"T_1a926_row8_col2\" class=\"data row8 col2\" >1.07</td>\n",
- " <td id=\"T_1a926_row8_col3\" class=\"data row8 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row8_col4\" class=\"data row8 col4\" >54.47</td>\n",
- " <td id=\"T_1a926_row8_col5\" class=\"data row8 col5\" >8.28</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_1a926_row9_col0\" class=\"data row9 col0\" >33.98</td>\n",
- " <td id=\"T_1a926_row9_col1\" class=\"data row9 col1\" >4.22</td>\n",
- " <td id=\"T_1a926_row9_col2\" class=\"data row9 col2\" >2.46</td>\n",
- " <td id=\"T_1a926_row9_col3\" class=\"data row9 col3\" >0.31</td>\n",
- " <td id=\"T_1a926_row9_col4\" class=\"data row9 col4\" >3.46</td>\n",
- " <td id=\"T_1a926_row9_col5\" class=\"data row9 col5\" >1.61</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_1a926_row10_col0\" class=\"data row10 col0\" >18.66</td>\n",
- " <td id=\"T_1a926_row10_col1\" class=\"data row10 col1\" >2.40</td>\n",
- " <td id=\"T_1a926_row10_col2\" class=\"data row10 col2\" >1.35</td>\n",
- " <td id=\"T_1a926_row10_col3\" class=\"data row10 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row10_col4\" class=\"data row10 col4\" >38.21</td>\n",
- " <td id=\"T_1a926_row10_col5\" class=\"data row10 col5\" >6.66</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_1a926_row11_col0\" class=\"data row11 col0\" >18.09</td>\n",
- " <td id=\"T_1a926_row11_col1\" class=\"data row11 col1\" >2.37</td>\n",
- " <td id=\"T_1a926_row11_col2\" class=\"data row11 col2\" >1.31</td>\n",
- " <td id=\"T_1a926_row11_col3\" class=\"data row11 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row11_col4\" class=\"data row11 col4\" >39.96</td>\n",
- " <td id=\"T_1a926_row11_col5\" class=\"data row11 col5\" >5.57</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_1a926_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_1a926_row12_col0\" class=\"data row12 col0\" >15.09</td>\n",
- " <td id=\"T_1a926_row12_col1\" class=\"data row12 col1\" >2.50</td>\n",
- " <td id=\"T_1a926_row12_col2\" class=\"data row12 col2\" >1.09</td>\n",
- " <td id=\"T_1a926_row12_col3\" class=\"data row12 col3\" >0.18</td>\n",
- " <td id=\"T_1a926_row12_col4\" class=\"data row12 col4\" >53.73</td>\n",
- " <td id=\"T_1a926_row12_col5\" class=\"data row12 col5\" >7.65</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_1a926_row13_col0\" class=\"data row13 col0\" >18.56</td>\n",
- " <td id=\"T_1a926_row13_col1\" class=\"data row13 col1\" >2.25</td>\n",
- " <td id=\"T_1a926_row13_col2\" class=\"data row13 col2\" >1.34</td>\n",
- " <td id=\"T_1a926_row13_col3\" class=\"data row13 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row13_col4\" class=\"data row13 col4\" >40.44</td>\n",
- " <td id=\"T_1a926_row13_col5\" class=\"data row13 col5\" >6.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_1a926_row14_col0\" class=\"data row14 col0\" >33.37</td>\n",
- " <td id=\"T_1a926_row14_col1\" class=\"data row14 col1\" >4.62</td>\n",
- " <td id=\"T_1a926_row14_col2\" class=\"data row14 col2\" >2.41</td>\n",
- " <td id=\"T_1a926_row14_col3\" class=\"data row14 col3\" >0.33</td>\n",
- " <td id=\"T_1a926_row14_col4\" class=\"data row14 col4\" >2.24</td>\n",
- " <td id=\"T_1a926_row14_col5\" class=\"data row14 col5\" >1.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_1a926_row15_col0\" class=\"data row15 col0\" >18.11</td>\n",
- " <td id=\"T_1a926_row15_col1\" class=\"data row15 col1\" >2.29</td>\n",
- " <td id=\"T_1a926_row15_col2\" class=\"data row15 col2\" >1.31</td>\n",
- " <td id=\"T_1a926_row15_col3\" class=\"data row15 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row15_col4\" class=\"data row15 col4\" >39.62</td>\n",
- " <td id=\"T_1a926_row15_col5\" class=\"data row15 col5\" >6.54</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_1a926_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_1a926_row16_col0\" class=\"data row16 col0\" >14.86</td>\n",
- " <td id=\"T_1a926_row16_col1\" class=\"data row16 col1\" >2.34</td>\n",
- " <td id=\"T_1a926_row16_col2\" class=\"data row16 col2\" >1.07</td>\n",
- " <td id=\"T_1a926_row16_col3\" class=\"data row16 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row16_col4\" class=\"data row16 col4\" >54.66</td>\n",
- " <td id=\"T_1a926_row16_col5\" class=\"data row16 col5\" >7.61</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_1a926_row17_col0\" class=\"data row17 col0\" >18.57</td>\n",
- " <td id=\"T_1a926_row17_col1\" class=\"data row17 col1\" >2.39</td>\n",
- " <td id=\"T_1a926_row17_col2\" class=\"data row17 col2\" >1.34</td>\n",
- " <td id=\"T_1a926_row17_col3\" class=\"data row17 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row17_col4\" class=\"data row17 col4\" >40.44</td>\n",
- " <td id=\"T_1a926_row17_col5\" class=\"data row17 col5\" >6.43</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_1a926_row18_col0\" class=\"data row18 col0\" >19.28</td>\n",
- " <td id=\"T_1a926_row18_col1\" class=\"data row18 col1\" >2.45</td>\n",
- " <td id=\"T_1a926_row18_col2\" class=\"data row18 col2\" >1.39</td>\n",
- " <td id=\"T_1a926_row18_col3\" class=\"data row18 col3\" >0.18</td>\n",
- " <td id=\"T_1a926_row18_col4\" class=\"data row18 col4\" >36.67</td>\n",
- " <td id=\"T_1a926_row18_col5\" class=\"data row18 col5\" >6.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_1a926_row19_col0\" class=\"data row19 col0\" >32.48</td>\n",
- " <td id=\"T_1a926_row19_col1\" class=\"data row19 col1\" >4.50</td>\n",
- " <td id=\"T_1a926_row19_col2\" class=\"data row19 col2\" >2.35</td>\n",
- " <td id=\"T_1a926_row19_col3\" class=\"data row19 col3\" >0.33</td>\n",
- " <td id=\"T_1a926_row19_col4\" class=\"data row19 col4\" >2.35</td>\n",
- " <td id=\"T_1a926_row19_col5\" class=\"data row19 col5\" >1.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_1a926_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_1a926_row20_col0\" class=\"data row20 col0\" >14.64</td>\n",
- " <td id=\"T_1a926_row20_col1\" class=\"data row20 col1\" >3.40</td>\n",
- " <td id=\"T_1a926_row20_col2\" class=\"data row20 col2\" >1.06</td>\n",
- " <td id=\"T_1a926_row20_col3\" class=\"data row20 col3\" >0.25</td>\n",
- " <td id=\"T_1a926_row20_col4\" class=\"data row20 col4\" >15.25</td>\n",
- " <td id=\"T_1a926_row20_col5\" class=\"data row20 col5\" >5.55</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_1a926_row21_col0\" class=\"data row21 col0\" >15.09</td>\n",
- " <td id=\"T_1a926_row21_col1\" class=\"data row21 col1\" >2.66</td>\n",
- " <td id=\"T_1a926_row21_col2\" class=\"data row21 col2\" >1.09</td>\n",
- " <td id=\"T_1a926_row21_col3\" class=\"data row21 col3\" >0.19</td>\n",
- " <td id=\"T_1a926_row21_col4\" class=\"data row21 col4\" >9.13</td>\n",
- " <td id=\"T_1a926_row21_col5\" class=\"data row21 col5\" >3.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_1a926_row22_col0\" class=\"data row22 col0\" >12.83</td>\n",
- " <td id=\"T_1a926_row22_col1\" class=\"data row22 col1\" >2.19</td>\n",
- " <td id=\"T_1a926_row22_col2\" class=\"data row22 col2\" >0.93</td>\n",
- " <td id=\"T_1a926_row22_col3\" class=\"data row22 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row22_col4\" class=\"data row22 col4\" >53.84</td>\n",
- " <td id=\"T_1a926_row22_col5\" class=\"data row22 col5\" >6.93</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_1a926_row23_col0\" class=\"data row23 col0\" >11.75</td>\n",
- " <td id=\"T_1a926_row23_col1\" class=\"data row23 col1\" >2.07</td>\n",
- " <td id=\"T_1a926_row23_col2\" class=\"data row23 col2\" >0.85</td>\n",
- " <td id=\"T_1a926_row23_col3\" class=\"data row23 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row23_col4\" class=\"data row23 col4\" >57.27</td>\n",
- " <td id=\"T_1a926_row23_col5\" class=\"data row23 col5\" >6.37</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_1a926_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_1a926_row24_col0\" class=\"data row24 col0\" >14.69</td>\n",
- " <td id=\"T_1a926_row24_col1\" class=\"data row24 col1\" >3.18</td>\n",
- " <td id=\"T_1a926_row24_col2\" class=\"data row24 col2\" >1.06</td>\n",
- " <td id=\"T_1a926_row24_col3\" class=\"data row24 col3\" >0.23</td>\n",
- " <td id=\"T_1a926_row24_col4\" class=\"data row24 col4\" >15.01</td>\n",
- " <td id=\"T_1a926_row24_col5\" class=\"data row24 col5\" >5.45</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_1a926_row25_col0\" class=\"data row25 col0\" >12.38</td>\n",
- " <td id=\"T_1a926_row25_col1\" class=\"data row25 col1\" >2.05</td>\n",
- " <td id=\"T_1a926_row25_col2\" class=\"data row25 col2\" >0.90</td>\n",
- " <td id=\"T_1a926_row25_col3\" class=\"data row25 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row25_col4\" class=\"data row25 col4\" >55.87</td>\n",
- " <td id=\"T_1a926_row25_col5\" class=\"data row25 col5\" >6.37</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_1a926_row26_col0\" class=\"data row26 col0\" >15.25</td>\n",
- " <td id=\"T_1a926_row26_col1\" class=\"data row26 col1\" >2.66</td>\n",
- " <td id=\"T_1a926_row26_col2\" class=\"data row26 col2\" >1.10</td>\n",
- " <td id=\"T_1a926_row26_col3\" class=\"data row26 col3\" >0.19</td>\n",
- " <td id=\"T_1a926_row26_col4\" class=\"data row26 col4\" >6.99</td>\n",
- " <td id=\"T_1a926_row26_col5\" class=\"data row26 col5\" >2.33</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_1a926_row27_col0\" class=\"data row27 col0\" >11.94</td>\n",
- " <td id=\"T_1a926_row27_col1\" class=\"data row27 col1\" >2.02</td>\n",
- " <td id=\"T_1a926_row27_col2\" class=\"data row27 col2\" >0.86</td>\n",
- " <td id=\"T_1a926_row27_col3\" class=\"data row27 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row27_col4\" class=\"data row27 col4\" >57.34</td>\n",
- " <td id=\"T_1a926_row27_col5\" class=\"data row27 col5\" >7.20</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_1a926_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_1a926_row28_col0\" class=\"data row28 col0\" >14.27</td>\n",
- " <td id=\"T_1a926_row28_col1\" class=\"data row28 col1\" >3.36</td>\n",
- " <td id=\"T_1a926_row28_col2\" class=\"data row28 col2\" >1.03</td>\n",
- " <td id=\"T_1a926_row28_col3\" class=\"data row28 col3\" >0.24</td>\n",
- " <td id=\"T_1a926_row28_col4\" class=\"data row28 col4\" >16.94</td>\n",
- " <td id=\"T_1a926_row28_col5\" class=\"data row28 col5\" >5.84</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_1a926_row29_col0\" class=\"data row29 col0\" >12.67</td>\n",
- " <td id=\"T_1a926_row29_col1\" class=\"data row29 col1\" >2.01</td>\n",
- " <td id=\"T_1a926_row29_col2\" class=\"data row29 col2\" >0.92</td>\n",
- " <td id=\"T_1a926_row29_col3\" class=\"data row29 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row29_col4\" class=\"data row29 col4\" >54.64</td>\n",
- " <td id=\"T_1a926_row29_col5\" class=\"data row29 col5\" >6.40</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_1a926_row30_col0\" class=\"data row30 col0\" >13.36</td>\n",
- " <td id=\"T_1a926_row30_col1\" class=\"data row30 col1\" >2.30</td>\n",
- " <td id=\"T_1a926_row30_col2\" class=\"data row30 col2\" >0.97</td>\n",
- " <td id=\"T_1a926_row30_col3\" class=\"data row30 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row30_col4\" class=\"data row30 col4\" >53.39</td>\n",
- " <td id=\"T_1a926_row30_col5\" class=\"data row30 col5\" >7.69</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_1a926_row31_col0\" class=\"data row31 col0\" >12.88</td>\n",
- " <td id=\"T_1a926_row31_col1\" class=\"data row31 col1\" >2.75</td>\n",
- " <td id=\"T_1a926_row31_col2\" class=\"data row31 col2\" >0.93</td>\n",
- " <td id=\"T_1a926_row31_col3\" class=\"data row31 col3\" >0.20</td>\n",
- " <td id=\"T_1a926_row31_col4\" class=\"data row31 col4\" >8.30</td>\n",
- " <td id=\"T_1a926_row31_col5\" class=\"data row31 col5\" >2.71</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_1a926_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_1a926_row32_col0\" class=\"data row32 col0\" >10.85</td>\n",
- " <td id=\"T_1a926_row32_col1\" class=\"data row32 col1\" >2.47</td>\n",
- " <td id=\"T_1a926_row32_col2\" class=\"data row32 col2\" >0.78</td>\n",
- " <td id=\"T_1a926_row32_col3\" class=\"data row32 col3\" >0.18</td>\n",
- " <td id=\"T_1a926_row32_col4\" class=\"data row32 col4\" >64.08</td>\n",
- " <td id=\"T_1a926_row32_col5\" class=\"data row32 col5\" >7.63</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_1a926_row33_col0\" class=\"data row33 col0\" >13.26</td>\n",
- " <td id=\"T_1a926_row33_col1\" class=\"data row33 col1\" >3.22</td>\n",
- " <td id=\"T_1a926_row33_col2\" class=\"data row33 col2\" >0.96</td>\n",
- " <td id=\"T_1a926_row33_col3\" class=\"data row33 col3\" >0.23</td>\n",
- " <td id=\"T_1a926_row33_col4\" class=\"data row33 col4\" >9.97</td>\n",
- " <td id=\"T_1a926_row33_col5\" class=\"data row33 col5\" >3.34</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_1a926_row34_col0\" class=\"data row34 col0\" >12.32</td>\n",
- " <td id=\"T_1a926_row34_col1\" class=\"data row34 col1\" >3.11</td>\n",
- " <td id=\"T_1a926_row34_col2\" class=\"data row34 col2\" >0.89</td>\n",
- " <td id=\"T_1a926_row34_col3\" class=\"data row34 col3\" >0.23</td>\n",
- " <td id=\"T_1a926_row34_col4\" class=\"data row34 col4\" >8.47</td>\n",
- " <td id=\"T_1a926_row34_col5\" class=\"data row34 col5\" >2.94</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_1a926_row35_col0\" class=\"data row35 col0\" >12.74</td>\n",
- " <td id=\"T_1a926_row35_col1\" class=\"data row35 col1\" >2.29</td>\n",
- " <td id=\"T_1a926_row35_col2\" class=\"data row35 col2\" >0.92</td>\n",
- " <td id=\"T_1a926_row35_col3\" class=\"data row35 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row35_col4\" class=\"data row35 col4\" >53.41</td>\n",
- " <td id=\"T_1a926_row35_col5\" class=\"data row35 col5\" >7.45</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_1a926_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_1a926_row36_col0\" class=\"data row36 col0\" >10.60</td>\n",
- " <td id=\"T_1a926_row36_col1\" class=\"data row36 col1\" >2.29</td>\n",
- " <td id=\"T_1a926_row36_col2\" class=\"data row36 col2\" >0.77</td>\n",
- " <td id=\"T_1a926_row36_col3\" class=\"data row36 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row36_col4\" class=\"data row36 col4\" >65.15</td>\n",
- " <td id=\"T_1a926_row36_col5\" class=\"data row36 col5\" >8.17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_1a926_row37_col0\" class=\"data row37 col0\" >12.93</td>\n",
- " <td id=\"T_1a926_row37_col1\" class=\"data row37 col1\" >2.75</td>\n",
- " <td id=\"T_1a926_row37_col2\" class=\"data row37 col2\" >0.94</td>\n",
- " <td id=\"T_1a926_row37_col3\" class=\"data row37 col3\" >0.20</td>\n",
- " <td id=\"T_1a926_row37_col4\" class=\"data row37 col4\" >10.59</td>\n",
- " <td id=\"T_1a926_row37_col5\" class=\"data row37 col5\" >3.22</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_1a926_row38_col0\" class=\"data row38 col0\" >13.66</td>\n",
- " <td id=\"T_1a926_row38_col1\" class=\"data row38 col1\" >2.39</td>\n",
- " <td id=\"T_1a926_row38_col2\" class=\"data row38 col2\" >0.99</td>\n",
- " <td id=\"T_1a926_row38_col3\" class=\"data row38 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row38_col4\" class=\"data row38 col4\" >49.45</td>\n",
- " <td id=\"T_1a926_row38_col5\" class=\"data row38 col5\" >7.27</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_1a926_row39_col0\" class=\"data row39 col0\" >11.16</td>\n",
- " <td id=\"T_1a926_row39_col1\" class=\"data row39 col1\" >2.59</td>\n",
- " <td id=\"T_1a926_row39_col2\" class=\"data row39 col2\" >0.81</td>\n",
- " <td id=\"T_1a926_row39_col3\" class=\"data row39 col3\" >0.19</td>\n",
- " <td id=\"T_1a926_row39_col4\" class=\"data row39 col4\" >8.95</td>\n",
- " <td id=\"T_1a926_row39_col5\" class=\"data row39 col5\" >2.33</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_1a926_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_1a926_row40_col0\" class=\"data row40 col0\" >10.33</td>\n",
- " <td id=\"T_1a926_row40_col1\" class=\"data row40 col1\" >2.50</td>\n",
- " <td id=\"T_1a926_row40_col2\" class=\"data row40 col2\" >0.75</td>\n",
- " <td id=\"T_1a926_row40_col3\" class=\"data row40 col3\" >0.18</td>\n",
- " <td id=\"T_1a926_row40_col4\" class=\"data row40 col4\" >64.23</td>\n",
- " <td id=\"T_1a926_row40_col5\" class=\"data row40 col5\" >8.84</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_1a926_row41_col0\" class=\"data row41 col0\" >13.28</td>\n",
- " <td id=\"T_1a926_row41_col1\" class=\"data row41 col1\" >2.32</td>\n",
- " <td id=\"T_1a926_row41_col2\" class=\"data row41 col2\" >0.96</td>\n",
- " <td id=\"T_1a926_row41_col3\" class=\"data row41 col3\" >0.17</td>\n",
- " <td id=\"T_1a926_row41_col4\" class=\"data row41 col4\" >53.56</td>\n",
- " <td id=\"T_1a926_row41_col5\" class=\"data row41 col5\" >7.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_1a926_row42_col0\" class=\"data row42 col0\" >12.56</td>\n",
- " <td id=\"T_1a926_row42_col1\" class=\"data row42 col1\" >2.93</td>\n",
- " <td id=\"T_1a926_row42_col2\" class=\"data row42 col2\" >0.91</td>\n",
- " <td id=\"T_1a926_row42_col3\" class=\"data row42 col3\" >0.21</td>\n",
- " <td id=\"T_1a926_row42_col4\" class=\"data row42 col4\" >8.44</td>\n",
- " <td id=\"T_1a926_row42_col5\" class=\"data row42 col5\" >3.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_1a926_row43_col0\" class=\"data row43 col0\" >12.04</td>\n",
- " <td id=\"T_1a926_row43_col1\" class=\"data row43 col1\" >2.80</td>\n",
- " <td id=\"T_1a926_row43_col2\" class=\"data row43 col2\" >0.87</td>\n",
- " <td id=\"T_1a926_row43_col3\" class=\"data row43 col3\" >0.20</td>\n",
- " <td id=\"T_1a926_row43_col4\" class=\"data row43 col4\" >8.82</td>\n",
- " <td id=\"T_1a926_row43_col5\" class=\"data row43 col5\" >2.54</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_1a926_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_1a926_row44_col0\" class=\"data row44 col0\" >6.23</td>\n",
- " <td id=\"T_1a926_row44_col1\" class=\"data row44 col1\" >1.92</td>\n",
- " <td id=\"T_1a926_row44_col2\" class=\"data row44 col2\" >0.45</td>\n",
- " <td id=\"T_1a926_row44_col3\" class=\"data row44 col3\" >0.14</td>\n",
- " <td id=\"T_1a926_row44_col4\" class=\"data row44 col4\" >27.37</td>\n",
- " <td id=\"T_1a926_row44_col5\" class=\"data row44 col5\" >7.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_1a926_row45_col0\" class=\"data row45 col0\" >6.02</td>\n",
- " <td id=\"T_1a926_row45_col1\" class=\"data row45 col1\" >1.80</td>\n",
- " <td id=\"T_1a926_row45_col2\" class=\"data row45 col2\" >0.44</td>\n",
- " <td id=\"T_1a926_row45_col3\" class=\"data row45 col3\" >0.13</td>\n",
- " <td id=\"T_1a926_row45_col4\" class=\"data row45 col4\" >19.88</td>\n",
- " <td id=\"T_1a926_row45_col5\" class=\"data row45 col5\" >4.70</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_1a926_row46_col0\" class=\"data row46 col0\" >5.69</td>\n",
- " <td id=\"T_1a926_row46_col1\" class=\"data row46 col1\" >1.76</td>\n",
- " <td id=\"T_1a926_row46_col2\" class=\"data row46 col2\" >0.41</td>\n",
- " <td id=\"T_1a926_row46_col3\" class=\"data row46 col3\" >0.13</td>\n",
- " <td id=\"T_1a926_row46_col4\" class=\"data row46 col4\" >14.87</td>\n",
- " <td id=\"T_1a926_row46_col5\" class=\"data row46 col5\" >3.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_1a926_row47_col0\" class=\"data row47 col0\" >7.42</td>\n",
- " <td id=\"T_1a926_row47_col1\" class=\"data row47 col1\" >1.87</td>\n",
- " <td id=\"T_1a926_row47_col2\" class=\"data row47 col2\" >0.54</td>\n",
- " <td id=\"T_1a926_row47_col3\" class=\"data row47 col3\" >0.14</td>\n",
- " <td id=\"T_1a926_row47_col4\" class=\"data row47 col4\" >70.54</td>\n",
- " <td id=\"T_1a926_row47_col5\" class=\"data row47 col5\" >7.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_1a926_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_1a926_row48_col0\" class=\"data row48 col0\" >6.38</td>\n",
- " <td id=\"T_1a926_row48_col1\" class=\"data row48 col1\" >2.02</td>\n",
- " <td id=\"T_1a926_row48_col2\" class=\"data row48 col2\" >0.46</td>\n",
- " <td id=\"T_1a926_row48_col3\" class=\"data row48 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row48_col4\" class=\"data row48 col4\" >29.67</td>\n",
- " <td id=\"T_1a926_row48_col5\" class=\"data row48 col5\" >7.30</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_1a926_row49_col0\" class=\"data row49 col0\" >6.65</td>\n",
- " <td id=\"T_1a926_row49_col1\" class=\"data row49 col1\" >1.84</td>\n",
- " <td id=\"T_1a926_row49_col2\" class=\"data row49 col2\" >0.48</td>\n",
- " <td id=\"T_1a926_row49_col3\" class=\"data row49 col3\" >0.13</td>\n",
- " <td id=\"T_1a926_row49_col4\" class=\"data row49 col4\" >19.66</td>\n",
- " <td id=\"T_1a926_row49_col5\" class=\"data row49 col5\" >4.32</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_1a926_row50_col0\" class=\"data row50 col0\" >8.57</td>\n",
- " <td id=\"T_1a926_row50_col1\" class=\"data row50 col1\" >2.17</td>\n",
- " <td id=\"T_1a926_row50_col2\" class=\"data row50 col2\" >0.62</td>\n",
- " <td id=\"T_1a926_row50_col3\" class=\"data row50 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row50_col4\" class=\"data row50 col4\" >65.17</td>\n",
- " <td id=\"T_1a926_row50_col5\" class=\"data row50 col5\" >8.01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_1a926_row51_col0\" class=\"data row51 col0\" >4.65</td>\n",
- " <td id=\"T_1a926_row51_col1\" class=\"data row51 col1\" >1.55</td>\n",
- " <td id=\"T_1a926_row51_col2\" class=\"data row51 col2\" >0.34</td>\n",
- " <td id=\"T_1a926_row51_col3\" class=\"data row51 col3\" >0.11</td>\n",
- " <td id=\"T_1a926_row51_col4\" class=\"data row51 col4\" >16.74</td>\n",
- " <td id=\"T_1a926_row51_col5\" class=\"data row51 col5\" >3.94</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_1a926_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_1a926_row52_col0\" class=\"data row52 col0\" >5.82</td>\n",
- " <td id=\"T_1a926_row52_col1\" class=\"data row52 col1\" >2.01</td>\n",
- " <td id=\"T_1a926_row52_col2\" class=\"data row52 col2\" >0.42</td>\n",
- " <td id=\"T_1a926_row52_col3\" class=\"data row52 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row52_col4\" class=\"data row52 col4\" >29.79</td>\n",
- " <td id=\"T_1a926_row52_col5\" class=\"data row52 col5\" >7.18</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_1a926_row53_col0\" class=\"data row53 col0\" >8.61</td>\n",
- " <td id=\"T_1a926_row53_col1\" class=\"data row53 col1\" >2.10</td>\n",
- " <td id=\"T_1a926_row53_col2\" class=\"data row53 col2\" >0.62</td>\n",
- " <td id=\"T_1a926_row53_col3\" class=\"data row53 col3\" >0.15</td>\n",
- " <td id=\"T_1a926_row53_col4\" class=\"data row53 col4\" >66.96</td>\n",
- " <td id=\"T_1a926_row53_col5\" class=\"data row53 col5\" >6.59</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_1a926_row54_col0\" class=\"data row54 col0\" >6.15</td>\n",
- " <td id=\"T_1a926_row54_col1\" class=\"data row54 col1\" >1.95</td>\n",
- " <td id=\"T_1a926_row54_col2\" class=\"data row54 col2\" >0.44</td>\n",
- " <td id=\"T_1a926_row54_col3\" class=\"data row54 col3\" >0.14</td>\n",
- " <td id=\"T_1a926_row54_col4\" class=\"data row54 col4\" >17.55</td>\n",
- " <td id=\"T_1a926_row54_col5\" class=\"data row54 col5\" >4.30</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_1a926_row55_col0\" class=\"data row55 col0\" >4.73</td>\n",
- " <td id=\"T_1a926_row55_col1\" class=\"data row55 col1\" >1.78</td>\n",
- " <td id=\"T_1a926_row55_col2\" class=\"data row55 col2\" >0.34</td>\n",
- " <td id=\"T_1a926_row55_col3\" class=\"data row55 col3\" >0.13</td>\n",
- " <td id=\"T_1a926_row55_col4\" class=\"data row55 col4\" >17.13</td>\n",
- " <td id=\"T_1a926_row55_col5\" class=\"data row55 col5\" >3.83</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_1a926_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_1a926_row56_col0\" class=\"data row56 col0\" >7.03</td>\n",
- " <td id=\"T_1a926_row56_col1\" class=\"data row56 col1\" >2.25</td>\n",
- " <td id=\"T_1a926_row56_col2\" class=\"data row56 col2\" >0.51</td>\n",
- " <td id=\"T_1a926_row56_col3\" class=\"data row56 col3\" >0.16</td>\n",
- " <td id=\"T_1a926_row56_col4\" class=\"data row56 col4\" >74.06</td>\n",
- " <td id=\"T_1a926_row56_col5\" class=\"data row56 col5\" >8.29</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_1a926_row57_col0\" class=\"data row57 col0\" >5.30</td>\n",
- " <td id=\"T_1a926_row57_col1\" class=\"data row57 col1\" >1.59</td>\n",
- " <td id=\"T_1a926_row57_col2\" class=\"data row57 col2\" >0.38</td>\n",
- " <td id=\"T_1a926_row57_col3\" class=\"data row57 col3\" >0.11</td>\n",
- " <td id=\"T_1a926_row57_col4\" class=\"data row57 col4\" >21.49</td>\n",
- " <td id=\"T_1a926_row57_col5\" class=\"data row57 col5\" >4.98</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_1a926_row58_col0\" class=\"data row58 col0\" >5.35</td>\n",
- " <td id=\"T_1a926_row58_col1\" class=\"data row58 col1\" >1.68</td>\n",
- " <td id=\"T_1a926_row58_col2\" class=\"data row58 col2\" >0.39</td>\n",
- " <td id=\"T_1a926_row58_col3\" class=\"data row58 col3\" >0.12</td>\n",
- " <td id=\"T_1a926_row58_col4\" class=\"data row58 col4\" >19.35</td>\n",
- " <td id=\"T_1a926_row58_col5\" class=\"data row58 col5\" >4.31</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_1a926_row59_col0\" class=\"data row59 col0\" >4.52</td>\n",
- " <td id=\"T_1a926_row59_col1\" class=\"data row59 col1\" >1.60</td>\n",
- " <td id=\"T_1a926_row59_col2\" class=\"data row59 col2\" >0.33</td>\n",
- " <td id=\"T_1a926_row59_col3\" class=\"data row59 col3\" >0.12</td>\n",
- " <td id=\"T_1a926_row59_col4\" class=\"data row59 col4\" >18.91</td>\n",
- " <td id=\"T_1a926_row59_col5\" class=\"data row59 col5\" >3.82</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_1a926_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_1a926_row60_col0\" class=\"data row60 col0\" >2.21</td>\n",
- " <td id=\"T_1a926_row60_col1\" class=\"data row60 col1\" >1.09</td>\n",
- " <td id=\"T_1a926_row60_col2\" class=\"data row60 col2\" >0.16</td>\n",
- " <td id=\"T_1a926_row60_col3\" class=\"data row60 col3\" >0.08</td>\n",
- " <td id=\"T_1a926_row60_col4\" class=\"data row60 col4\" >42.06</td>\n",
- " <td id=\"T_1a926_row60_col5\" class=\"data row60 col5\" >7.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_1a926_row61_col0\" class=\"data row61 col0\" >2.70</td>\n",
- " <td id=\"T_1a926_row61_col1\" class=\"data row61 col1\" >1.33</td>\n",
- " <td id=\"T_1a926_row61_col2\" class=\"data row61 col2\" >0.20</td>\n",
- " <td id=\"T_1a926_row61_col3\" class=\"data row61 col3\" >0.10</td>\n",
- " <td id=\"T_1a926_row61_col4\" class=\"data row61 col4\" >32.02</td>\n",
- " <td id=\"T_1a926_row61_col5\" class=\"data row61 col5\" >5.70</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_1a926_row62_col0\" class=\"data row62 col0\" >2.24</td>\n",
- " <td id=\"T_1a926_row62_col1\" class=\"data row62 col1\" >1.03</td>\n",
- " <td id=\"T_1a926_row62_col2\" class=\"data row62 col2\" >0.16</td>\n",
- " <td id=\"T_1a926_row62_col3\" class=\"data row62 col3\" >0.07</td>\n",
- " <td id=\"T_1a926_row62_col4\" class=\"data row62 col4\" >27.88</td>\n",
- " <td id=\"T_1a926_row62_col5\" class=\"data row62 col5\" >5.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_1a926_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_1a926_row63_col0\" class=\"data row63 col0\" >1.56</td>\n",
- " <td id=\"T_1a926_row63_col1\" class=\"data row63 col1\" >0.80</td>\n",
- " <td id=\"T_1a926_row63_col2\" class=\"data row63 col2\" >0.11</td>\n",
- " <td id=\"T_1a926_row63_col3\" class=\"data row63 col3\" >0.06</td>\n",
- " <td id=\"T_1a926_row63_col4\" class=\"data row63 col4\" >28.03</td>\n",
- " <td id=\"T_1a926_row63_col5\" class=\"data row63 col5\" >4.64</td>\n",
+ " <th id=\"T_fd728_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_fd728_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_fd728_row0_col0\" class=\"data row0 col0\" >19.78</td>\n",
+ " <td id=\"T_fd728_row0_col1\" class=\"data row0 col1\" >1.99</td>\n",
+ " <td id=\"T_fd728_row0_col2\" class=\"data row0 col2\" >1.43</td>\n",
+ " <td id=\"T_fd728_row0_col3\" class=\"data row0 col3\" >0.14</td>\n",
+ " <td id=\"T_fd728_row0_col4\" class=\"data row0 col4\" >42.06</td>\n",
+ " <td id=\"T_fd728_row0_col5\" class=\"data row0 col5\" >7.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_fd728_row1_col0\" class=\"data row1 col0\" >23.47</td>\n",
+ " <td id=\"T_fd728_row1_col1\" class=\"data row1 col1\" >2.29</td>\n",
+ " <td id=\"T_fd728_row1_col2\" class=\"data row1 col2\" >1.70</td>\n",
+ " <td id=\"T_fd728_row1_col3\" class=\"data row1 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row1_col4\" class=\"data row1 col4\" >32.02</td>\n",
+ " <td id=\"T_fd728_row1_col5\" class=\"data row1 col5\" >5.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_fd728_row2_col0\" class=\"data row2 col0\" >24.03</td>\n",
+ " <td id=\"T_fd728_row2_col1\" class=\"data row2 col1\" >2.56</td>\n",
+ " <td id=\"T_fd728_row2_col2\" class=\"data row2 col2\" >1.74</td>\n",
+ " <td id=\"T_fd728_row2_col3\" class=\"data row2 col3\" >0.18</td>\n",
+ " <td id=\"T_fd728_row2_col4\" class=\"data row2 col4\" >27.88</td>\n",
+ " <td id=\"T_fd728_row2_col5\" class=\"data row2 col5\" >5.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_fd728_row3_col0\" class=\"data row3 col0\" >23.49</td>\n",
+ " <td id=\"T_fd728_row3_col1\" class=\"data row3 col1\" >2.19</td>\n",
+ " <td id=\"T_fd728_row3_col2\" class=\"data row3 col2\" >1.70</td>\n",
+ " <td id=\"T_fd728_row3_col3\" class=\"data row3 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row3_col4\" class=\"data row3 col4\" >28.03</td>\n",
+ " <td id=\"T_fd728_row3_col5\" class=\"data row3 col5\" >4.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_fd728_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_fd728_row4_col0\" class=\"data row4 col0\" >35.15</td>\n",
+ " <td id=\"T_fd728_row4_col1\" class=\"data row4 col1\" >3.85</td>\n",
+ " <td id=\"T_fd728_row4_col2\" class=\"data row4 col2\" >2.54</td>\n",
+ " <td id=\"T_fd728_row4_col3\" class=\"data row4 col3\" >0.28</td>\n",
+ " <td id=\"T_fd728_row4_col4\" class=\"data row4 col4\" >5.21</td>\n",
+ " <td id=\"T_fd728_row4_col5\" class=\"data row4 col5\" >2.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_fd728_row5_col0\" class=\"data row5 col0\" >16.96</td>\n",
+ " <td id=\"T_fd728_row5_col1\" class=\"data row5 col1\" >2.02</td>\n",
+ " <td id=\"T_fd728_row5_col2\" class=\"data row5 col2\" >1.23</td>\n",
+ " <td id=\"T_fd728_row5_col3\" class=\"data row5 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row5_col4\" class=\"data row5 col4\" >44.48</td>\n",
+ " <td id=\"T_fd728_row5_col5\" class=\"data row5 col5\" >5.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_fd728_row6_col0\" class=\"data row6 col0\" >17.48</td>\n",
+ " <td id=\"T_fd728_row6_col1\" class=\"data row6 col1\" >2.23</td>\n",
+ " <td id=\"T_fd728_row6_col2\" class=\"data row6 col2\" >1.26</td>\n",
+ " <td id=\"T_fd728_row6_col3\" class=\"data row6 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row6_col4\" class=\"data row6 col4\" >41.11</td>\n",
+ " <td id=\"T_fd728_row6_col5\" class=\"data row6 col5\" >6.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_fd728_row7_col0\" class=\"data row7 col0\" >16.56</td>\n",
+ " <td id=\"T_fd728_row7_col1\" class=\"data row7 col1\" >2.22</td>\n",
+ " <td id=\"T_fd728_row7_col2\" class=\"data row7 col2\" >1.20</td>\n",
+ " <td id=\"T_fd728_row7_col3\" class=\"data row7 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row7_col4\" class=\"data row7 col4\" >43.98</td>\n",
+ " <td id=\"T_fd728_row7_col5\" class=\"data row7 col5\" >5.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_fd728_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_fd728_row8_col0\" class=\"data row8 col0\" >14.74</td>\n",
+ " <td id=\"T_fd728_row8_col1\" class=\"data row8 col1\" >2.39</td>\n",
+ " <td id=\"T_fd728_row8_col2\" class=\"data row8 col2\" >1.07</td>\n",
+ " <td id=\"T_fd728_row8_col3\" class=\"data row8 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row8_col4\" class=\"data row8 col4\" >54.47</td>\n",
+ " <td id=\"T_fd728_row8_col5\" class=\"data row8 col5\" >8.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_fd728_row9_col0\" class=\"data row9 col0\" >33.98</td>\n",
+ " <td id=\"T_fd728_row9_col1\" class=\"data row9 col1\" >4.22</td>\n",
+ " <td id=\"T_fd728_row9_col2\" class=\"data row9 col2\" >2.46</td>\n",
+ " <td id=\"T_fd728_row9_col3\" class=\"data row9 col3\" >0.31</td>\n",
+ " <td id=\"T_fd728_row9_col4\" class=\"data row9 col4\" >3.46</td>\n",
+ " <td id=\"T_fd728_row9_col5\" class=\"data row9 col5\" >1.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_fd728_row10_col0\" class=\"data row10 col0\" >18.66</td>\n",
+ " <td id=\"T_fd728_row10_col1\" class=\"data row10 col1\" >2.40</td>\n",
+ " <td id=\"T_fd728_row10_col2\" class=\"data row10 col2\" >1.35</td>\n",
+ " <td id=\"T_fd728_row10_col3\" class=\"data row10 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row10_col4\" class=\"data row10 col4\" >38.21</td>\n",
+ " <td id=\"T_fd728_row10_col5\" class=\"data row10 col5\" >6.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_fd728_row11_col0\" class=\"data row11 col0\" >18.09</td>\n",
+ " <td id=\"T_fd728_row11_col1\" class=\"data row11 col1\" >2.37</td>\n",
+ " <td id=\"T_fd728_row11_col2\" class=\"data row11 col2\" >1.31</td>\n",
+ " <td id=\"T_fd728_row11_col3\" class=\"data row11 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row11_col4\" class=\"data row11 col4\" >39.96</td>\n",
+ " <td id=\"T_fd728_row11_col5\" class=\"data row11 col5\" >5.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_fd728_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_fd728_row12_col0\" class=\"data row12 col0\" >15.09</td>\n",
+ " <td id=\"T_fd728_row12_col1\" class=\"data row12 col1\" >2.50</td>\n",
+ " <td id=\"T_fd728_row12_col2\" class=\"data row12 col2\" >1.09</td>\n",
+ " <td id=\"T_fd728_row12_col3\" class=\"data row12 col3\" >0.18</td>\n",
+ " <td id=\"T_fd728_row12_col4\" class=\"data row12 col4\" >53.73</td>\n",
+ " <td id=\"T_fd728_row12_col5\" class=\"data row12 col5\" >7.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_fd728_row13_col0\" class=\"data row13 col0\" >18.56</td>\n",
+ " <td id=\"T_fd728_row13_col1\" class=\"data row13 col1\" >2.25</td>\n",
+ " <td id=\"T_fd728_row13_col2\" class=\"data row13 col2\" >1.34</td>\n",
+ " <td id=\"T_fd728_row13_col3\" class=\"data row13 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row13_col4\" class=\"data row13 col4\" >40.44</td>\n",
+ " <td id=\"T_fd728_row13_col5\" class=\"data row13 col5\" >6.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_fd728_row14_col0\" class=\"data row14 col0\" >33.37</td>\n",
+ " <td id=\"T_fd728_row14_col1\" class=\"data row14 col1\" >4.62</td>\n",
+ " <td id=\"T_fd728_row14_col2\" class=\"data row14 col2\" >2.41</td>\n",
+ " <td id=\"T_fd728_row14_col3\" class=\"data row14 col3\" >0.33</td>\n",
+ " <td id=\"T_fd728_row14_col4\" class=\"data row14 col4\" >2.24</td>\n",
+ " <td id=\"T_fd728_row14_col5\" class=\"data row14 col5\" >1.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_fd728_row15_col0\" class=\"data row15 col0\" >18.11</td>\n",
+ " <td id=\"T_fd728_row15_col1\" class=\"data row15 col1\" >2.29</td>\n",
+ " <td id=\"T_fd728_row15_col2\" class=\"data row15 col2\" >1.31</td>\n",
+ " <td id=\"T_fd728_row15_col3\" class=\"data row15 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row15_col4\" class=\"data row15 col4\" >39.62</td>\n",
+ " <td id=\"T_fd728_row15_col5\" class=\"data row15 col5\" >6.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_fd728_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_fd728_row16_col0\" class=\"data row16 col0\" >14.86</td>\n",
+ " <td id=\"T_fd728_row16_col1\" class=\"data row16 col1\" >2.34</td>\n",
+ " <td id=\"T_fd728_row16_col2\" class=\"data row16 col2\" >1.07</td>\n",
+ " <td id=\"T_fd728_row16_col3\" class=\"data row16 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row16_col4\" class=\"data row16 col4\" >54.66</td>\n",
+ " <td id=\"T_fd728_row16_col5\" class=\"data row16 col5\" >7.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_fd728_row17_col0\" class=\"data row17 col0\" >18.57</td>\n",
+ " <td id=\"T_fd728_row17_col1\" class=\"data row17 col1\" >2.39</td>\n",
+ " <td id=\"T_fd728_row17_col2\" class=\"data row17 col2\" >1.34</td>\n",
+ " <td id=\"T_fd728_row17_col3\" class=\"data row17 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row17_col4\" class=\"data row17 col4\" >40.44</td>\n",
+ " <td id=\"T_fd728_row17_col5\" class=\"data row17 col5\" >6.43</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_fd728_row18_col0\" class=\"data row18 col0\" >19.28</td>\n",
+ " <td id=\"T_fd728_row18_col1\" class=\"data row18 col1\" >2.45</td>\n",
+ " <td id=\"T_fd728_row18_col2\" class=\"data row18 col2\" >1.39</td>\n",
+ " <td id=\"T_fd728_row18_col3\" class=\"data row18 col3\" >0.18</td>\n",
+ " <td id=\"T_fd728_row18_col4\" class=\"data row18 col4\" >36.67</td>\n",
+ " <td id=\"T_fd728_row18_col5\" class=\"data row18 col5\" >6.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_fd728_row19_col0\" class=\"data row19 col0\" >32.48</td>\n",
+ " <td id=\"T_fd728_row19_col1\" class=\"data row19 col1\" >4.50</td>\n",
+ " <td id=\"T_fd728_row19_col2\" class=\"data row19 col2\" >2.35</td>\n",
+ " <td id=\"T_fd728_row19_col3\" class=\"data row19 col3\" >0.33</td>\n",
+ " <td id=\"T_fd728_row19_col4\" class=\"data row19 col4\" >2.35</td>\n",
+ " <td id=\"T_fd728_row19_col5\" class=\"data row19 col5\" >1.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_fd728_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_fd728_row20_col0\" class=\"data row20 col0\" >14.64</td>\n",
+ " <td id=\"T_fd728_row20_col1\" class=\"data row20 col1\" >3.40</td>\n",
+ " <td id=\"T_fd728_row20_col2\" class=\"data row20 col2\" >1.06</td>\n",
+ " <td id=\"T_fd728_row20_col3\" class=\"data row20 col3\" >0.25</td>\n",
+ " <td id=\"T_fd728_row20_col4\" class=\"data row20 col4\" >15.25</td>\n",
+ " <td id=\"T_fd728_row20_col5\" class=\"data row20 col5\" >5.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_fd728_row21_col0\" class=\"data row21 col0\" >15.09</td>\n",
+ " <td id=\"T_fd728_row21_col1\" class=\"data row21 col1\" >2.66</td>\n",
+ " <td id=\"T_fd728_row21_col2\" class=\"data row21 col2\" >1.09</td>\n",
+ " <td id=\"T_fd728_row21_col3\" class=\"data row21 col3\" >0.19</td>\n",
+ " <td id=\"T_fd728_row21_col4\" class=\"data row21 col4\" >9.13</td>\n",
+ " <td id=\"T_fd728_row21_col5\" class=\"data row21 col5\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_fd728_row22_col0\" class=\"data row22 col0\" >12.83</td>\n",
+ " <td id=\"T_fd728_row22_col1\" class=\"data row22 col1\" >2.19</td>\n",
+ " <td id=\"T_fd728_row22_col2\" class=\"data row22 col2\" >0.93</td>\n",
+ " <td id=\"T_fd728_row22_col3\" class=\"data row22 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row22_col4\" class=\"data row22 col4\" >53.84</td>\n",
+ " <td id=\"T_fd728_row22_col5\" class=\"data row22 col5\" >6.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_fd728_row23_col0\" class=\"data row23 col0\" >11.75</td>\n",
+ " <td id=\"T_fd728_row23_col1\" class=\"data row23 col1\" >2.07</td>\n",
+ " <td id=\"T_fd728_row23_col2\" class=\"data row23 col2\" >0.85</td>\n",
+ " <td id=\"T_fd728_row23_col3\" class=\"data row23 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row23_col4\" class=\"data row23 col4\" >57.27</td>\n",
+ " <td id=\"T_fd728_row23_col5\" class=\"data row23 col5\" >6.37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_fd728_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_fd728_row24_col0\" class=\"data row24 col0\" >14.69</td>\n",
+ " <td id=\"T_fd728_row24_col1\" class=\"data row24 col1\" >3.18</td>\n",
+ " <td id=\"T_fd728_row24_col2\" class=\"data row24 col2\" >1.06</td>\n",
+ " <td id=\"T_fd728_row24_col3\" class=\"data row24 col3\" >0.23</td>\n",
+ " <td id=\"T_fd728_row24_col4\" class=\"data row24 col4\" >15.01</td>\n",
+ " <td id=\"T_fd728_row24_col5\" class=\"data row24 col5\" >5.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_fd728_row25_col0\" class=\"data row25 col0\" >12.38</td>\n",
+ " <td id=\"T_fd728_row25_col1\" class=\"data row25 col1\" >2.05</td>\n",
+ " <td id=\"T_fd728_row25_col2\" class=\"data row25 col2\" >0.90</td>\n",
+ " <td id=\"T_fd728_row25_col3\" class=\"data row25 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row25_col4\" class=\"data row25 col4\" >55.87</td>\n",
+ " <td id=\"T_fd728_row25_col5\" class=\"data row25 col5\" >6.37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_fd728_row26_col0\" class=\"data row26 col0\" >15.25</td>\n",
+ " <td id=\"T_fd728_row26_col1\" class=\"data row26 col1\" >2.66</td>\n",
+ " <td id=\"T_fd728_row26_col2\" class=\"data row26 col2\" >1.10</td>\n",
+ " <td id=\"T_fd728_row26_col3\" class=\"data row26 col3\" >0.19</td>\n",
+ " <td id=\"T_fd728_row26_col4\" class=\"data row26 col4\" >6.99</td>\n",
+ " <td id=\"T_fd728_row26_col5\" class=\"data row26 col5\" >2.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_fd728_row27_col0\" class=\"data row27 col0\" >11.94</td>\n",
+ " <td id=\"T_fd728_row27_col1\" class=\"data row27 col1\" >2.02</td>\n",
+ " <td id=\"T_fd728_row27_col2\" class=\"data row27 col2\" >0.86</td>\n",
+ " <td id=\"T_fd728_row27_col3\" class=\"data row27 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row27_col4\" class=\"data row27 col4\" >57.34</td>\n",
+ " <td id=\"T_fd728_row27_col5\" class=\"data row27 col5\" >7.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_fd728_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_fd728_row28_col0\" class=\"data row28 col0\" >14.27</td>\n",
+ " <td id=\"T_fd728_row28_col1\" class=\"data row28 col1\" >3.36</td>\n",
+ " <td id=\"T_fd728_row28_col2\" class=\"data row28 col2\" >1.03</td>\n",
+ " <td id=\"T_fd728_row28_col3\" class=\"data row28 col3\" >0.24</td>\n",
+ " <td id=\"T_fd728_row28_col4\" class=\"data row28 col4\" >16.94</td>\n",
+ " <td id=\"T_fd728_row28_col5\" class=\"data row28 col5\" >5.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_fd728_row29_col0\" class=\"data row29 col0\" >12.67</td>\n",
+ " <td id=\"T_fd728_row29_col1\" class=\"data row29 col1\" >2.01</td>\n",
+ " <td id=\"T_fd728_row29_col2\" class=\"data row29 col2\" >0.92</td>\n",
+ " <td id=\"T_fd728_row29_col3\" class=\"data row29 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row29_col4\" class=\"data row29 col4\" >54.64</td>\n",
+ " <td id=\"T_fd728_row29_col5\" class=\"data row29 col5\" >6.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_fd728_row30_col0\" class=\"data row30 col0\" >13.36</td>\n",
+ " <td id=\"T_fd728_row30_col1\" class=\"data row30 col1\" >2.30</td>\n",
+ " <td id=\"T_fd728_row30_col2\" class=\"data row30 col2\" >0.97</td>\n",
+ " <td id=\"T_fd728_row30_col3\" class=\"data row30 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row30_col4\" class=\"data row30 col4\" >53.39</td>\n",
+ " <td id=\"T_fd728_row30_col5\" class=\"data row30 col5\" >7.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_fd728_row31_col0\" class=\"data row31 col0\" >12.88</td>\n",
+ " <td id=\"T_fd728_row31_col1\" class=\"data row31 col1\" >2.75</td>\n",
+ " <td id=\"T_fd728_row31_col2\" class=\"data row31 col2\" >0.93</td>\n",
+ " <td id=\"T_fd728_row31_col3\" class=\"data row31 col3\" >0.20</td>\n",
+ " <td id=\"T_fd728_row31_col4\" class=\"data row31 col4\" >8.30</td>\n",
+ " <td id=\"T_fd728_row31_col5\" class=\"data row31 col5\" >2.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_fd728_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_fd728_row32_col0\" class=\"data row32 col0\" >10.85</td>\n",
+ " <td id=\"T_fd728_row32_col1\" class=\"data row32 col1\" >2.47</td>\n",
+ " <td id=\"T_fd728_row32_col2\" class=\"data row32 col2\" >0.78</td>\n",
+ " <td id=\"T_fd728_row32_col3\" class=\"data row32 col3\" >0.18</td>\n",
+ " <td id=\"T_fd728_row32_col4\" class=\"data row32 col4\" >64.08</td>\n",
+ " <td id=\"T_fd728_row32_col5\" class=\"data row32 col5\" >7.63</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_fd728_row33_col0\" class=\"data row33 col0\" >13.26</td>\n",
+ " <td id=\"T_fd728_row33_col1\" class=\"data row33 col1\" >3.22</td>\n",
+ " <td id=\"T_fd728_row33_col2\" class=\"data row33 col2\" >0.96</td>\n",
+ " <td id=\"T_fd728_row33_col3\" class=\"data row33 col3\" >0.23</td>\n",
+ " <td id=\"T_fd728_row33_col4\" class=\"data row33 col4\" >9.97</td>\n",
+ " <td id=\"T_fd728_row33_col5\" class=\"data row33 col5\" >3.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_fd728_row34_col0\" class=\"data row34 col0\" >12.32</td>\n",
+ " <td id=\"T_fd728_row34_col1\" class=\"data row34 col1\" >3.11</td>\n",
+ " <td id=\"T_fd728_row34_col2\" class=\"data row34 col2\" >0.89</td>\n",
+ " <td id=\"T_fd728_row34_col3\" class=\"data row34 col3\" >0.23</td>\n",
+ " <td id=\"T_fd728_row34_col4\" class=\"data row34 col4\" >8.47</td>\n",
+ " <td id=\"T_fd728_row34_col5\" class=\"data row34 col5\" >2.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_fd728_row35_col0\" class=\"data row35 col0\" >12.74</td>\n",
+ " <td id=\"T_fd728_row35_col1\" class=\"data row35 col1\" >2.29</td>\n",
+ " <td id=\"T_fd728_row35_col2\" class=\"data row35 col2\" >0.92</td>\n",
+ " <td id=\"T_fd728_row35_col3\" class=\"data row35 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row35_col4\" class=\"data row35 col4\" >53.41</td>\n",
+ " <td id=\"T_fd728_row35_col5\" class=\"data row35 col5\" >7.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_fd728_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_fd728_row36_col0\" class=\"data row36 col0\" >10.60</td>\n",
+ " <td id=\"T_fd728_row36_col1\" class=\"data row36 col1\" >2.29</td>\n",
+ " <td id=\"T_fd728_row36_col2\" class=\"data row36 col2\" >0.77</td>\n",
+ " <td id=\"T_fd728_row36_col3\" class=\"data row36 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row36_col4\" class=\"data row36 col4\" >65.15</td>\n",
+ " <td id=\"T_fd728_row36_col5\" class=\"data row36 col5\" >8.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_fd728_row37_col0\" class=\"data row37 col0\" >12.93</td>\n",
+ " <td id=\"T_fd728_row37_col1\" class=\"data row37 col1\" >2.75</td>\n",
+ " <td id=\"T_fd728_row37_col2\" class=\"data row37 col2\" >0.94</td>\n",
+ " <td id=\"T_fd728_row37_col3\" class=\"data row37 col3\" >0.20</td>\n",
+ " <td id=\"T_fd728_row37_col4\" class=\"data row37 col4\" >10.59</td>\n",
+ " <td id=\"T_fd728_row37_col5\" class=\"data row37 col5\" >3.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_fd728_row38_col0\" class=\"data row38 col0\" >13.66</td>\n",
+ " <td id=\"T_fd728_row38_col1\" class=\"data row38 col1\" >2.39</td>\n",
+ " <td id=\"T_fd728_row38_col2\" class=\"data row38 col2\" >0.99</td>\n",
+ " <td id=\"T_fd728_row38_col3\" class=\"data row38 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row38_col4\" class=\"data row38 col4\" >49.45</td>\n",
+ " <td id=\"T_fd728_row38_col5\" class=\"data row38 col5\" >7.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_fd728_row39_col0\" class=\"data row39 col0\" >11.16</td>\n",
+ " <td id=\"T_fd728_row39_col1\" class=\"data row39 col1\" >2.59</td>\n",
+ " <td id=\"T_fd728_row39_col2\" class=\"data row39 col2\" >0.81</td>\n",
+ " <td id=\"T_fd728_row39_col3\" class=\"data row39 col3\" >0.19</td>\n",
+ " <td id=\"T_fd728_row39_col4\" class=\"data row39 col4\" >8.95</td>\n",
+ " <td id=\"T_fd728_row39_col5\" class=\"data row39 col5\" >2.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_fd728_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_fd728_row40_col0\" class=\"data row40 col0\" >10.33</td>\n",
+ " <td id=\"T_fd728_row40_col1\" class=\"data row40 col1\" >2.50</td>\n",
+ " <td id=\"T_fd728_row40_col2\" class=\"data row40 col2\" >0.75</td>\n",
+ " <td id=\"T_fd728_row40_col3\" class=\"data row40 col3\" >0.18</td>\n",
+ " <td id=\"T_fd728_row40_col4\" class=\"data row40 col4\" >64.23</td>\n",
+ " <td id=\"T_fd728_row40_col5\" class=\"data row40 col5\" >8.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_fd728_row41_col0\" class=\"data row41 col0\" >13.28</td>\n",
+ " <td id=\"T_fd728_row41_col1\" class=\"data row41 col1\" >2.32</td>\n",
+ " <td id=\"T_fd728_row41_col2\" class=\"data row41 col2\" >0.96</td>\n",
+ " <td id=\"T_fd728_row41_col3\" class=\"data row41 col3\" >0.17</td>\n",
+ " <td id=\"T_fd728_row41_col4\" class=\"data row41 col4\" >53.56</td>\n",
+ " <td id=\"T_fd728_row41_col5\" class=\"data row41 col5\" >7.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_fd728_row42_col0\" class=\"data row42 col0\" >12.56</td>\n",
+ " <td id=\"T_fd728_row42_col1\" class=\"data row42 col1\" >2.93</td>\n",
+ " <td id=\"T_fd728_row42_col2\" class=\"data row42 col2\" >0.91</td>\n",
+ " <td id=\"T_fd728_row42_col3\" class=\"data row42 col3\" >0.21</td>\n",
+ " <td id=\"T_fd728_row42_col4\" class=\"data row42 col4\" >8.44</td>\n",
+ " <td id=\"T_fd728_row42_col5\" class=\"data row42 col5\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_fd728_row43_col0\" class=\"data row43 col0\" >12.04</td>\n",
+ " <td id=\"T_fd728_row43_col1\" class=\"data row43 col1\" >2.80</td>\n",
+ " <td id=\"T_fd728_row43_col2\" class=\"data row43 col2\" >0.87</td>\n",
+ " <td id=\"T_fd728_row43_col3\" class=\"data row43 col3\" >0.20</td>\n",
+ " <td id=\"T_fd728_row43_col4\" class=\"data row43 col4\" >8.82</td>\n",
+ " <td id=\"T_fd728_row43_col5\" class=\"data row43 col5\" >2.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_fd728_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_fd728_row44_col0\" class=\"data row44 col0\" >6.23</td>\n",
+ " <td id=\"T_fd728_row44_col1\" class=\"data row44 col1\" >1.92</td>\n",
+ " <td id=\"T_fd728_row44_col2\" class=\"data row44 col2\" >0.45</td>\n",
+ " <td id=\"T_fd728_row44_col3\" class=\"data row44 col3\" >0.14</td>\n",
+ " <td id=\"T_fd728_row44_col4\" class=\"data row44 col4\" >27.37</td>\n",
+ " <td id=\"T_fd728_row44_col5\" class=\"data row44 col5\" >7.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_fd728_row45_col0\" class=\"data row45 col0\" >6.02</td>\n",
+ " <td id=\"T_fd728_row45_col1\" class=\"data row45 col1\" >1.80</td>\n",
+ " <td id=\"T_fd728_row45_col2\" class=\"data row45 col2\" >0.44</td>\n",
+ " <td id=\"T_fd728_row45_col3\" class=\"data row45 col3\" >0.13</td>\n",
+ " <td id=\"T_fd728_row45_col4\" class=\"data row45 col4\" >19.88</td>\n",
+ " <td id=\"T_fd728_row45_col5\" class=\"data row45 col5\" >4.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_fd728_row46_col0\" class=\"data row46 col0\" >5.69</td>\n",
+ " <td id=\"T_fd728_row46_col1\" class=\"data row46 col1\" >1.76</td>\n",
+ " <td id=\"T_fd728_row46_col2\" class=\"data row46 col2\" >0.41</td>\n",
+ " <td id=\"T_fd728_row46_col3\" class=\"data row46 col3\" >0.13</td>\n",
+ " <td id=\"T_fd728_row46_col4\" class=\"data row46 col4\" >14.87</td>\n",
+ " <td id=\"T_fd728_row46_col5\" class=\"data row46 col5\" >3.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_fd728_row47_col0\" class=\"data row47 col0\" >7.42</td>\n",
+ " <td id=\"T_fd728_row47_col1\" class=\"data row47 col1\" >1.87</td>\n",
+ " <td id=\"T_fd728_row47_col2\" class=\"data row47 col2\" >0.54</td>\n",
+ " <td id=\"T_fd728_row47_col3\" class=\"data row47 col3\" >0.14</td>\n",
+ " <td id=\"T_fd728_row47_col4\" class=\"data row47 col4\" >70.54</td>\n",
+ " <td id=\"T_fd728_row47_col5\" class=\"data row47 col5\" >7.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_fd728_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_fd728_row48_col0\" class=\"data row48 col0\" >6.38</td>\n",
+ " <td id=\"T_fd728_row48_col1\" class=\"data row48 col1\" >2.02</td>\n",
+ " <td id=\"T_fd728_row48_col2\" class=\"data row48 col2\" >0.46</td>\n",
+ " <td id=\"T_fd728_row48_col3\" class=\"data row48 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row48_col4\" class=\"data row48 col4\" >29.67</td>\n",
+ " <td id=\"T_fd728_row48_col5\" class=\"data row48 col5\" >7.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_fd728_row49_col0\" class=\"data row49 col0\" >6.65</td>\n",
+ " <td id=\"T_fd728_row49_col1\" class=\"data row49 col1\" >1.84</td>\n",
+ " <td id=\"T_fd728_row49_col2\" class=\"data row49 col2\" >0.48</td>\n",
+ " <td id=\"T_fd728_row49_col3\" class=\"data row49 col3\" >0.13</td>\n",
+ " <td id=\"T_fd728_row49_col4\" class=\"data row49 col4\" >19.66</td>\n",
+ " <td id=\"T_fd728_row49_col5\" class=\"data row49 col5\" >4.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_fd728_row50_col0\" class=\"data row50 col0\" >8.57</td>\n",
+ " <td id=\"T_fd728_row50_col1\" class=\"data row50 col1\" >2.17</td>\n",
+ " <td id=\"T_fd728_row50_col2\" class=\"data row50 col2\" >0.62</td>\n",
+ " <td id=\"T_fd728_row50_col3\" class=\"data row50 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row50_col4\" class=\"data row50 col4\" >65.17</td>\n",
+ " <td id=\"T_fd728_row50_col5\" class=\"data row50 col5\" >8.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_fd728_row51_col0\" class=\"data row51 col0\" >4.65</td>\n",
+ " <td id=\"T_fd728_row51_col1\" class=\"data row51 col1\" >1.55</td>\n",
+ " <td id=\"T_fd728_row51_col2\" class=\"data row51 col2\" >0.34</td>\n",
+ " <td id=\"T_fd728_row51_col3\" class=\"data row51 col3\" >0.11</td>\n",
+ " <td id=\"T_fd728_row51_col4\" class=\"data row51 col4\" >16.74</td>\n",
+ " <td id=\"T_fd728_row51_col5\" class=\"data row51 col5\" >3.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_fd728_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_fd728_row52_col0\" class=\"data row52 col0\" >5.82</td>\n",
+ " <td id=\"T_fd728_row52_col1\" class=\"data row52 col1\" >2.01</td>\n",
+ " <td id=\"T_fd728_row52_col2\" class=\"data row52 col2\" >0.42</td>\n",
+ " <td id=\"T_fd728_row52_col3\" class=\"data row52 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row52_col4\" class=\"data row52 col4\" >29.79</td>\n",
+ " <td id=\"T_fd728_row52_col5\" class=\"data row52 col5\" >7.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_fd728_row53_col0\" class=\"data row53 col0\" >8.61</td>\n",
+ " <td id=\"T_fd728_row53_col1\" class=\"data row53 col1\" >2.10</td>\n",
+ " <td id=\"T_fd728_row53_col2\" class=\"data row53 col2\" >0.62</td>\n",
+ " <td id=\"T_fd728_row53_col3\" class=\"data row53 col3\" >0.15</td>\n",
+ " <td id=\"T_fd728_row53_col4\" class=\"data row53 col4\" >66.96</td>\n",
+ " <td id=\"T_fd728_row53_col5\" class=\"data row53 col5\" >6.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_fd728_row54_col0\" class=\"data row54 col0\" >6.15</td>\n",
+ " <td id=\"T_fd728_row54_col1\" class=\"data row54 col1\" >1.95</td>\n",
+ " <td id=\"T_fd728_row54_col2\" class=\"data row54 col2\" >0.44</td>\n",
+ " <td id=\"T_fd728_row54_col3\" class=\"data row54 col3\" >0.14</td>\n",
+ " <td id=\"T_fd728_row54_col4\" class=\"data row54 col4\" >17.55</td>\n",
+ " <td id=\"T_fd728_row54_col5\" class=\"data row54 col5\" >4.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_fd728_row55_col0\" class=\"data row55 col0\" >4.73</td>\n",
+ " <td id=\"T_fd728_row55_col1\" class=\"data row55 col1\" >1.78</td>\n",
+ " <td id=\"T_fd728_row55_col2\" class=\"data row55 col2\" >0.34</td>\n",
+ " <td id=\"T_fd728_row55_col3\" class=\"data row55 col3\" >0.13</td>\n",
+ " <td id=\"T_fd728_row55_col4\" class=\"data row55 col4\" >17.13</td>\n",
+ " <td id=\"T_fd728_row55_col5\" class=\"data row55 col5\" >3.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_fd728_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_fd728_row56_col0\" class=\"data row56 col0\" >7.03</td>\n",
+ " <td id=\"T_fd728_row56_col1\" class=\"data row56 col1\" >2.25</td>\n",
+ " <td id=\"T_fd728_row56_col2\" class=\"data row56 col2\" >0.51</td>\n",
+ " <td id=\"T_fd728_row56_col3\" class=\"data row56 col3\" >0.16</td>\n",
+ " <td id=\"T_fd728_row56_col4\" class=\"data row56 col4\" >74.06</td>\n",
+ " <td id=\"T_fd728_row56_col5\" class=\"data row56 col5\" >8.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_fd728_row57_col0\" class=\"data row57 col0\" >5.30</td>\n",
+ " <td id=\"T_fd728_row57_col1\" class=\"data row57 col1\" >1.59</td>\n",
+ " <td id=\"T_fd728_row57_col2\" class=\"data row57 col2\" >0.38</td>\n",
+ " <td id=\"T_fd728_row57_col3\" class=\"data row57 col3\" >0.11</td>\n",
+ " <td id=\"T_fd728_row57_col4\" class=\"data row57 col4\" >21.49</td>\n",
+ " <td id=\"T_fd728_row57_col5\" class=\"data row57 col5\" >4.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_fd728_row58_col0\" class=\"data row58 col0\" >5.35</td>\n",
+ " <td id=\"T_fd728_row58_col1\" class=\"data row58 col1\" >1.68</td>\n",
+ " <td id=\"T_fd728_row58_col2\" class=\"data row58 col2\" >0.39</td>\n",
+ " <td id=\"T_fd728_row58_col3\" class=\"data row58 col3\" >0.12</td>\n",
+ " <td id=\"T_fd728_row58_col4\" class=\"data row58 col4\" >19.35</td>\n",
+ " <td id=\"T_fd728_row58_col5\" class=\"data row58 col5\" >4.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_fd728_row59_col0\" class=\"data row59 col0\" >4.52</td>\n",
+ " <td id=\"T_fd728_row59_col1\" class=\"data row59 col1\" >1.60</td>\n",
+ " <td id=\"T_fd728_row59_col2\" class=\"data row59 col2\" >0.33</td>\n",
+ " <td id=\"T_fd728_row59_col3\" class=\"data row59 col3\" >0.12</td>\n",
+ " <td id=\"T_fd728_row59_col4\" class=\"data row59 col4\" >18.91</td>\n",
+ " <td id=\"T_fd728_row59_col5\" class=\"data row59 col5\" >3.82</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_fd728_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_fd728_row60_col0\" class=\"data row60 col0\" >2.21</td>\n",
+ " <td id=\"T_fd728_row60_col1\" class=\"data row60 col1\" >1.09</td>\n",
+ " <td id=\"T_fd728_row60_col2\" class=\"data row60 col2\" >0.16</td>\n",
+ " <td id=\"T_fd728_row60_col3\" class=\"data row60 col3\" >0.08</td>\n",
+ " <td id=\"T_fd728_row60_col4\" class=\"data row60 col4\" >42.06</td>\n",
+ " <td id=\"T_fd728_row60_col5\" class=\"data row60 col5\" >7.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_fd728_row61_col0\" class=\"data row61 col0\" >2.70</td>\n",
+ " <td id=\"T_fd728_row61_col1\" class=\"data row61 col1\" >1.33</td>\n",
+ " <td id=\"T_fd728_row61_col2\" class=\"data row61 col2\" >0.20</td>\n",
+ " <td id=\"T_fd728_row61_col3\" class=\"data row61 col3\" >0.10</td>\n",
+ " <td id=\"T_fd728_row61_col4\" class=\"data row61 col4\" >32.02</td>\n",
+ " <td id=\"T_fd728_row61_col5\" class=\"data row61 col5\" >5.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_fd728_row62_col0\" class=\"data row62 col0\" >2.24</td>\n",
+ " <td id=\"T_fd728_row62_col1\" class=\"data row62 col1\" >1.03</td>\n",
+ " <td id=\"T_fd728_row62_col2\" class=\"data row62 col2\" >0.16</td>\n",
+ " <td id=\"T_fd728_row62_col3\" class=\"data row62 col3\" >0.07</td>\n",
+ " <td id=\"T_fd728_row62_col4\" class=\"data row62 col4\" >27.88</td>\n",
+ " <td id=\"T_fd728_row62_col5\" class=\"data row62 col5\" >5.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fd728_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_fd728_row63_col0\" class=\"data row63 col0\" >1.56</td>\n",
+ " <td id=\"T_fd728_row63_col1\" class=\"data row63 col1\" >0.80</td>\n",
+ " <td id=\"T_fd728_row63_col2\" class=\"data row63 col2\" >0.11</td>\n",
+ " <td id=\"T_fd728_row63_col3\" class=\"data row63 col3\" >0.06</td>\n",
+ " <td id=\"T_fd728_row63_col4\" class=\"data row63 col4\" >28.03</td>\n",
+ " <td id=\"T_fd728_row63_col5\" class=\"data row63 col5\" >4.64</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0dae3d0>"
+ "<pandas.io.formats.style.Styler at 0x76062f9bd8d0>"
]
},
"metadata": {},
@@ -8751,291 +8745,291 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_2c0eb td {\n",
+ "#T_e4073 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_2c0eb th {\n",
+ "#T_e4073 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_2c0eb_row0_col0, #T_2c0eb_row0_col2 {\n",
+ "#T_e4073_row0_col0, #T_e4073_row0_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row0_col4, #T_2c0eb_row15_col4 {\n",
+ "#T_e4073_row0_col4, #T_e4073_row15_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row1_col0, #T_2c0eb_row1_col2 {\n",
+ "#T_e4073_row1_col0, #T_e4073_row1_col2 {\n",
" background-color: #3efe3e;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row1_col4 {\n",
+ "#T_e4073_row1_col4 {\n",
" background-color: #fc3333;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row2_col0, #T_2c0eb_row2_col2 {\n",
+ "#T_e4073_row2_col0, #T_e4073_row2_col2 {\n",
" background-color: #3ffe3f;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row2_col4 {\n",
+ "#T_e4073_row2_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row3_col0, #T_2c0eb_row3_col2, #T_2c0eb_row4_col0, #T_2c0eb_row4_col2 {\n",
+ "#T_e4073_row3_col0, #T_e4073_row3_col2, #T_e4073_row4_col0, #T_e4073_row4_col2 {\n",
" background-color: #40fe40;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row3_col4 {\n",
+ "#T_e4073_row3_col4 {\n",
" background-color: #ff0303;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row4_col4 {\n",
+ "#T_e4073_row4_col4 {\n",
" background-color: #fb4e4e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row5_col0, #T_2c0eb_row5_col2, #T_2c0eb_row6_col0, #T_2c0eb_row6_col2 {\n",
+ "#T_e4073_row5_col0, #T_e4073_row5_col2, #T_e4073_row6_col0, #T_e4073_row6_col2 {\n",
" background-color: #85fa85;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row5_col4 {\n",
+ "#T_e4073_row5_col4 {\n",
" background-color: #fe1818;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row6_col4 {\n",
+ "#T_e4073_row6_col4 {\n",
" background-color: #fd2323;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row7_col0, #T_2c0eb_row7_col2 {\n",
+ "#T_e4073_row7_col0, #T_e4073_row7_col2 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row7_col4 {\n",
+ "#T_e4073_row7_col4 {\n",
" background-color: #f96f6f;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row8_col0, #T_2c0eb_row8_col2 {\n",
+ "#T_e4073_row8_col0, #T_e4073_row8_col2 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row8_col4 {\n",
+ "#T_e4073_row8_col4 {\n",
" background-color: #ff0707;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row9_col0, #T_2c0eb_row9_col2, #T_2c0eb_row10_col0, #T_2c0eb_row10_col2 {\n",
+ "#T_e4073_row9_col0, #T_e4073_row9_col2, #T_e4073_row10_col0, #T_e4073_row10_col2 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row9_col4 {\n",
+ "#T_e4073_row9_col4 {\n",
" background-color: #fb4d4d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row10_col4 {\n",
+ "#T_e4073_row10_col4 {\n",
" background-color: #fd2929;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row11_col0, #T_2c0eb_row11_col2, #T_2c0eb_row13_col0, #T_2c0eb_row13_col2 {\n",
+ "#T_e4073_row11_col0, #T_e4073_row11_col2, #T_e4073_row13_col0, #T_e4073_row13_col2 {\n",
" background-color: #c6f5c6;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row11_col4 {\n",
+ "#T_e4073_row11_col4 {\n",
" background-color: #f88888;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row12_col0, #T_2c0eb_row12_col2 {\n",
+ "#T_e4073_row12_col0, #T_e4073_row12_col2 {\n",
" background-color: #c4f5c4;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row12_col4 {\n",
+ "#T_e4073_row12_col4 {\n",
" background-color: #f5bfbf;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row13_col4 {\n",
+ "#T_e4073_row13_col4 {\n",
" background-color: #f6b8b7;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row14_col0, #T_2c0eb_row14_col2 {\n",
+ "#T_e4073_row14_col0, #T_e4073_row14_col2 {\n",
" background-color: #ccf5cc;\n",
" color: #000000;\n",
"}\n",
- "#T_2c0eb_row14_col4 {\n",
+ "#T_e4073_row14_col4 {\n",
" background-color: #fa5a5a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_2c0eb_row15_col0, #T_2c0eb_row15_col2 {\n",
+ "#T_e4073_row15_col0, #T_e4073_row15_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_2c0eb\">\n",
+ "<table id=\"T_e4073\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_2c0eb_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
- " <th id=\"T_2c0eb_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
- " <th id=\"T_2c0eb_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " <th id=\"T_e4073_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_e4073_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_e4073_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_2c0eb_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
- " <th id=\"T_2c0eb_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
- " <th id=\"T_2c0eb_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
- " <th id=\"T_2c0eb_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
- " <th id=\"T_2c0eb_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
- " <th id=\"T_2c0eb_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " <th id=\"T_e4073_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_e4073_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_e4073_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_e4073_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_e4073_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_e4073_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_2c0eb_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_2c0eb_row0_col0\" class=\"data row0 col0\" >90.77</td>\n",
- " <td id=\"T_2c0eb_row0_col1\" class=\"data row0 col1\" >3.20</td>\n",
- " <td id=\"T_2c0eb_row0_col2\" class=\"data row0 col2\" >1.64</td>\n",
- " <td id=\"T_2c0eb_row0_col3\" class=\"data row0 col3\" >0.06</td>\n",
- " <td id=\"T_2c0eb_row0_col4\" class=\"data row0 col4\" >32.50</td>\n",
- " <td id=\"T_2c0eb_row0_col5\" class=\"data row0 col5\" >3.48</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_2c0eb_row1_col0\" class=\"data row1 col0\" >86.15</td>\n",
- " <td id=\"T_2c0eb_row1_col1\" class=\"data row1 col1\" >3.33</td>\n",
- " <td id=\"T_2c0eb_row1_col2\" class=\"data row1 col2\" >1.56</td>\n",
- " <td id=\"T_2c0eb_row1_col3\" class=\"data row1 col3\" >0.06</td>\n",
- " <td id=\"T_2c0eb_row1_col4\" class=\"data row1 col4\" >33.70</td>\n",
- " <td id=\"T_2c0eb_row1_col5\" class=\"data row1 col5\" >3.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_2c0eb_row2_col0\" class=\"data row2 col0\" >85.48</td>\n",
- " <td id=\"T_2c0eb_row2_col1\" class=\"data row2 col1\" >3.36</td>\n",
- " <td id=\"T_2c0eb_row2_col2\" class=\"data row2 col2\" >1.55</td>\n",
- " <td id=\"T_2c0eb_row2_col3\" class=\"data row2 col3\" >0.06</td>\n",
- " <td id=\"T_2c0eb_row2_col4\" class=\"data row2 col4\" >34.03</td>\n",
- " <td id=\"T_2c0eb_row2_col5\" class=\"data row2 col5\" >3.62</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_2c0eb_row3_col0\" class=\"data row3 col0\" >85.13</td>\n",
- " <td id=\"T_2c0eb_row3_col1\" class=\"data row3 col1\" >3.41</td>\n",
- " <td id=\"T_2c0eb_row3_col2\" class=\"data row3 col2\" >1.54</td>\n",
- " <td id=\"T_2c0eb_row3_col3\" class=\"data row3 col3\" >0.06</td>\n",
- " <td id=\"T_2c0eb_row3_col4\" class=\"data row3 col4\" >34.01</td>\n",
- " <td id=\"T_2c0eb_row3_col5\" class=\"data row3 col5\" >3.47</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_2c0eb_row4_col0\" class=\"data row4 col0\" >85.19</td>\n",
- " <td id=\"T_2c0eb_row4_col1\" class=\"data row4 col1\" >3.32</td>\n",
- " <td id=\"T_2c0eb_row4_col2\" class=\"data row4 col2\" >1.54</td>\n",
- " <td id=\"T_2c0eb_row4_col3\" class=\"data row4 col3\" >0.06</td>\n",
- " <td id=\"T_2c0eb_row4_col4\" class=\"data row4 col4\" >33.53</td>\n",
- " <td id=\"T_2c0eb_row4_col5\" class=\"data row4 col5\" >3.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_2c0eb_row5_col0\" class=\"data row5 col0\" >54.31</td>\n",
- " <td id=\"T_2c0eb_row5_col1\" class=\"data row5 col1\" >4.35</td>\n",
- " <td id=\"T_2c0eb_row5_col2\" class=\"data row5 col2\" >0.98</td>\n",
- " <td id=\"T_2c0eb_row5_col3\" class=\"data row5 col3\" >0.08</td>\n",
- " <td id=\"T_2c0eb_row5_col4\" class=\"data row5 col4\" >33.87</td>\n",
- " <td id=\"T_2c0eb_row5_col5\" class=\"data row5 col5\" >3.50</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_2c0eb_row6_col0\" class=\"data row6 col0\" >54.27</td>\n",
- " <td id=\"T_2c0eb_row6_col1\" class=\"data row6 col1\" >4.46</td>\n",
- " <td id=\"T_2c0eb_row6_col2\" class=\"data row6 col2\" >0.98</td>\n",
- " <td id=\"T_2c0eb_row6_col3\" class=\"data row6 col3\" >0.08</td>\n",
- " <td id=\"T_2c0eb_row6_col4\" class=\"data row6 col4\" >33.80</td>\n",
- " <td id=\"T_2c0eb_row6_col5\" class=\"data row6 col5\" >3.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_2c0eb_row7_col0\" class=\"data row7 col0\" >53.18</td>\n",
- " <td id=\"T_2c0eb_row7_col1\" class=\"data row7 col1\" >4.27</td>\n",
- " <td id=\"T_2c0eb_row7_col2\" class=\"data row7 col2\" >0.96</td>\n",
- " <td id=\"T_2c0eb_row7_col3\" class=\"data row7 col3\" >0.08</td>\n",
- " <td id=\"T_2c0eb_row7_col4\" class=\"data row7 col4\" >33.32</td>\n",
- " <td id=\"T_2c0eb_row7_col5\" class=\"data row7 col5\" >3.69</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_2c0eb_row8_col0\" class=\"data row8 col0\" >49.18</td>\n",
- " <td id=\"T_2c0eb_row8_col1\" class=\"data row8 col1\" >4.90</td>\n",
- " <td id=\"T_2c0eb_row8_col2\" class=\"data row8 col2\" >0.89</td>\n",
- " <td id=\"T_2c0eb_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
- " <td id=\"T_2c0eb_row8_col4\" class=\"data row8 col4\" >33.98</td>\n",
- " <td id=\"T_2c0eb_row8_col5\" class=\"data row8 col5\" >3.59</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_2c0eb_row9_col0\" class=\"data row9 col0\" >48.35</td>\n",
- " <td id=\"T_2c0eb_row9_col1\" class=\"data row9 col1\" >4.64</td>\n",
- " <td id=\"T_2c0eb_row9_col2\" class=\"data row9 col2\" >0.87</td>\n",
- " <td id=\"T_2c0eb_row9_col3\" class=\"data row9 col3\" >0.08</td>\n",
- " <td id=\"T_2c0eb_row9_col4\" class=\"data row9 col4\" >33.54</td>\n",
- " <td id=\"T_2c0eb_row9_col5\" class=\"data row9 col5\" >3.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_2c0eb_row10_col0\" class=\"data row10 col0\" >48.21</td>\n",
- " <td id=\"T_2c0eb_row10_col1\" class=\"data row10 col1\" >4.87</td>\n",
- " <td id=\"T_2c0eb_row10_col2\" class=\"data row10 col2\" >0.87</td>\n",
- " <td id=\"T_2c0eb_row10_col3\" class=\"data row10 col3\" >0.09</td>\n",
- " <td id=\"T_2c0eb_row10_col4\" class=\"data row10 col4\" >33.76</td>\n",
- " <td id=\"T_2c0eb_row10_col5\" class=\"data row10 col5\" >3.51</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_2c0eb_row11_col0\" class=\"data row11 col0\" >25.37</td>\n",
- " <td id=\"T_2c0eb_row11_col1\" class=\"data row11 col1\" >3.69</td>\n",
- " <td id=\"T_2c0eb_row11_col2\" class=\"data row11 col2\" >0.46</td>\n",
- " <td id=\"T_2c0eb_row11_col3\" class=\"data row11 col3\" >0.07</td>\n",
- " <td id=\"T_2c0eb_row11_col4\" class=\"data row11 col4\" >33.17</td>\n",
- " <td id=\"T_2c0eb_row11_col5\" class=\"data row11 col5\" >3.53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_2c0eb_row12_col0\" class=\"data row12 col0\" >26.24</td>\n",
- " <td id=\"T_2c0eb_row12_col1\" class=\"data row12 col1\" >3.55</td>\n",
- " <td id=\"T_2c0eb_row12_col2\" class=\"data row12 col2\" >0.47</td>\n",
- " <td id=\"T_2c0eb_row12_col3\" class=\"data row12 col3\" >0.06</td>\n",
- " <td id=\"T_2c0eb_row12_col4\" class=\"data row12 col4\" >32.81</td>\n",
- " <td id=\"T_2c0eb_row12_col5\" class=\"data row12 col5\" >3.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_2c0eb_row13_col0\" class=\"data row13 col0\" >25.31</td>\n",
- " <td id=\"T_2c0eb_row13_col1\" class=\"data row13 col1\" >3.92</td>\n",
- " <td id=\"T_2c0eb_row13_col2\" class=\"data row13 col2\" >0.46</td>\n",
- " <td id=\"T_2c0eb_row13_col3\" class=\"data row13 col3\" >0.07</td>\n",
- " <td id=\"T_2c0eb_row13_col4\" class=\"data row13 col4\" >32.86</td>\n",
- " <td id=\"T_2c0eb_row13_col5\" class=\"data row13 col5\" >3.57</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_2c0eb_row14_col0\" class=\"data row14 col0\" >22.20</td>\n",
- " <td id=\"T_2c0eb_row14_col1\" class=\"data row14 col1\" >3.82</td>\n",
- " <td id=\"T_2c0eb_row14_col2\" class=\"data row14 col2\" >0.40</td>\n",
- " <td id=\"T_2c0eb_row14_col3\" class=\"data row14 col3\" >0.07</td>\n",
- " <td id=\"T_2c0eb_row14_col4\" class=\"data row14 col4\" >33.45</td>\n",
- " <td id=\"T_2c0eb_row14_col5\" class=\"data row14 col5\" >3.48</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_2c0eb_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_2c0eb_row15_col0\" class=\"data row15 col0\" >8.71</td>\n",
- " <td id=\"T_2c0eb_row15_col1\" class=\"data row15 col1\" >2.07</td>\n",
- " <td id=\"T_2c0eb_row15_col2\" class=\"data row15 col2\" >0.16</td>\n",
- " <td id=\"T_2c0eb_row15_col3\" class=\"data row15 col3\" >0.04</td>\n",
- " <td id=\"T_2c0eb_row15_col4\" class=\"data row15 col4\" >32.50</td>\n",
- " <td id=\"T_2c0eb_row15_col5\" class=\"data row15 col5\" >3.48</td>\n",
+ " <th id=\"T_e4073_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_e4073_row0_col0\" class=\"data row0 col0\" >90.77</td>\n",
+ " <td id=\"T_e4073_row0_col1\" class=\"data row0 col1\" >3.20</td>\n",
+ " <td id=\"T_e4073_row0_col2\" class=\"data row0 col2\" >1.64</td>\n",
+ " <td id=\"T_e4073_row0_col3\" class=\"data row0 col3\" >0.06</td>\n",
+ " <td id=\"T_e4073_row0_col4\" class=\"data row0 col4\" >32.50</td>\n",
+ " <td id=\"T_e4073_row0_col5\" class=\"data row0 col5\" >3.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_e4073_row1_col0\" class=\"data row1 col0\" >86.15</td>\n",
+ " <td id=\"T_e4073_row1_col1\" class=\"data row1 col1\" >3.33</td>\n",
+ " <td id=\"T_e4073_row1_col2\" class=\"data row1 col2\" >1.56</td>\n",
+ " <td id=\"T_e4073_row1_col3\" class=\"data row1 col3\" >0.06</td>\n",
+ " <td id=\"T_e4073_row1_col4\" class=\"data row1 col4\" >33.70</td>\n",
+ " <td id=\"T_e4073_row1_col5\" class=\"data row1 col5\" >3.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_e4073_row2_col0\" class=\"data row2 col0\" >85.48</td>\n",
+ " <td id=\"T_e4073_row2_col1\" class=\"data row2 col1\" >3.36</td>\n",
+ " <td id=\"T_e4073_row2_col2\" class=\"data row2 col2\" >1.55</td>\n",
+ " <td id=\"T_e4073_row2_col3\" class=\"data row2 col3\" >0.06</td>\n",
+ " <td id=\"T_e4073_row2_col4\" class=\"data row2 col4\" >34.03</td>\n",
+ " <td id=\"T_e4073_row2_col5\" class=\"data row2 col5\" >3.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_e4073_row3_col0\" class=\"data row3 col0\" >85.13</td>\n",
+ " <td id=\"T_e4073_row3_col1\" class=\"data row3 col1\" >3.41</td>\n",
+ " <td id=\"T_e4073_row3_col2\" class=\"data row3 col2\" >1.54</td>\n",
+ " <td id=\"T_e4073_row3_col3\" class=\"data row3 col3\" >0.06</td>\n",
+ " <td id=\"T_e4073_row3_col4\" class=\"data row3 col4\" >34.01</td>\n",
+ " <td id=\"T_e4073_row3_col5\" class=\"data row3 col5\" >3.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_e4073_row4_col0\" class=\"data row4 col0\" >85.19</td>\n",
+ " <td id=\"T_e4073_row4_col1\" class=\"data row4 col1\" >3.32</td>\n",
+ " <td id=\"T_e4073_row4_col2\" class=\"data row4 col2\" >1.54</td>\n",
+ " <td id=\"T_e4073_row4_col3\" class=\"data row4 col3\" >0.06</td>\n",
+ " <td id=\"T_e4073_row4_col4\" class=\"data row4 col4\" >33.53</td>\n",
+ " <td id=\"T_e4073_row4_col5\" class=\"data row4 col5\" >3.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_e4073_row5_col0\" class=\"data row5 col0\" >54.31</td>\n",
+ " <td id=\"T_e4073_row5_col1\" class=\"data row5 col1\" >4.35</td>\n",
+ " <td id=\"T_e4073_row5_col2\" class=\"data row5 col2\" >0.98</td>\n",
+ " <td id=\"T_e4073_row5_col3\" class=\"data row5 col3\" >0.08</td>\n",
+ " <td id=\"T_e4073_row5_col4\" class=\"data row5 col4\" >33.87</td>\n",
+ " <td id=\"T_e4073_row5_col5\" class=\"data row5 col5\" >3.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_e4073_row6_col0\" class=\"data row6 col0\" >54.27</td>\n",
+ " <td id=\"T_e4073_row6_col1\" class=\"data row6 col1\" >4.46</td>\n",
+ " <td id=\"T_e4073_row6_col2\" class=\"data row6 col2\" >0.98</td>\n",
+ " <td id=\"T_e4073_row6_col3\" class=\"data row6 col3\" >0.08</td>\n",
+ " <td id=\"T_e4073_row6_col4\" class=\"data row6 col4\" >33.80</td>\n",
+ " <td id=\"T_e4073_row6_col5\" class=\"data row6 col5\" >3.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_e4073_row7_col0\" class=\"data row7 col0\" >53.18</td>\n",
+ " <td id=\"T_e4073_row7_col1\" class=\"data row7 col1\" >4.27</td>\n",
+ " <td id=\"T_e4073_row7_col2\" class=\"data row7 col2\" >0.96</td>\n",
+ " <td id=\"T_e4073_row7_col3\" class=\"data row7 col3\" >0.08</td>\n",
+ " <td id=\"T_e4073_row7_col4\" class=\"data row7 col4\" >33.32</td>\n",
+ " <td id=\"T_e4073_row7_col5\" class=\"data row7 col5\" >3.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_e4073_row8_col0\" class=\"data row8 col0\" >49.18</td>\n",
+ " <td id=\"T_e4073_row8_col1\" class=\"data row8 col1\" >4.90</td>\n",
+ " <td id=\"T_e4073_row8_col2\" class=\"data row8 col2\" >0.89</td>\n",
+ " <td id=\"T_e4073_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
+ " <td id=\"T_e4073_row8_col4\" class=\"data row8 col4\" >33.98</td>\n",
+ " <td id=\"T_e4073_row8_col5\" class=\"data row8 col5\" >3.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_e4073_row9_col0\" class=\"data row9 col0\" >48.35</td>\n",
+ " <td id=\"T_e4073_row9_col1\" class=\"data row9 col1\" >4.64</td>\n",
+ " <td id=\"T_e4073_row9_col2\" class=\"data row9 col2\" >0.87</td>\n",
+ " <td id=\"T_e4073_row9_col3\" class=\"data row9 col3\" >0.08</td>\n",
+ " <td id=\"T_e4073_row9_col4\" class=\"data row9 col4\" >33.54</td>\n",
+ " <td id=\"T_e4073_row9_col5\" class=\"data row9 col5\" >3.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_e4073_row10_col0\" class=\"data row10 col0\" >48.21</td>\n",
+ " <td id=\"T_e4073_row10_col1\" class=\"data row10 col1\" >4.87</td>\n",
+ " <td id=\"T_e4073_row10_col2\" class=\"data row10 col2\" >0.87</td>\n",
+ " <td id=\"T_e4073_row10_col3\" class=\"data row10 col3\" >0.09</td>\n",
+ " <td id=\"T_e4073_row10_col4\" class=\"data row10 col4\" >33.76</td>\n",
+ " <td id=\"T_e4073_row10_col5\" class=\"data row10 col5\" >3.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_e4073_row11_col0\" class=\"data row11 col0\" >25.37</td>\n",
+ " <td id=\"T_e4073_row11_col1\" class=\"data row11 col1\" >3.69</td>\n",
+ " <td id=\"T_e4073_row11_col2\" class=\"data row11 col2\" >0.46</td>\n",
+ " <td id=\"T_e4073_row11_col3\" class=\"data row11 col3\" >0.07</td>\n",
+ " <td id=\"T_e4073_row11_col4\" class=\"data row11 col4\" >33.17</td>\n",
+ " <td id=\"T_e4073_row11_col5\" class=\"data row11 col5\" >3.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_e4073_row12_col0\" class=\"data row12 col0\" >26.24</td>\n",
+ " <td id=\"T_e4073_row12_col1\" class=\"data row12 col1\" >3.55</td>\n",
+ " <td id=\"T_e4073_row12_col2\" class=\"data row12 col2\" >0.47</td>\n",
+ " <td id=\"T_e4073_row12_col3\" class=\"data row12 col3\" >0.06</td>\n",
+ " <td id=\"T_e4073_row12_col4\" class=\"data row12 col4\" >32.81</td>\n",
+ " <td id=\"T_e4073_row12_col5\" class=\"data row12 col5\" >3.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_e4073_row13_col0\" class=\"data row13 col0\" >25.31</td>\n",
+ " <td id=\"T_e4073_row13_col1\" class=\"data row13 col1\" >3.92</td>\n",
+ " <td id=\"T_e4073_row13_col2\" class=\"data row13 col2\" >0.46</td>\n",
+ " <td id=\"T_e4073_row13_col3\" class=\"data row13 col3\" >0.07</td>\n",
+ " <td id=\"T_e4073_row13_col4\" class=\"data row13 col4\" >32.86</td>\n",
+ " <td id=\"T_e4073_row13_col5\" class=\"data row13 col5\" >3.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_e4073_row14_col0\" class=\"data row14 col0\" >22.20</td>\n",
+ " <td id=\"T_e4073_row14_col1\" class=\"data row14 col1\" >3.82</td>\n",
+ " <td id=\"T_e4073_row14_col2\" class=\"data row14 col2\" >0.40</td>\n",
+ " <td id=\"T_e4073_row14_col3\" class=\"data row14 col3\" >0.07</td>\n",
+ " <td id=\"T_e4073_row14_col4\" class=\"data row14 col4\" >33.45</td>\n",
+ " <td id=\"T_e4073_row14_col5\" class=\"data row14 col5\" >3.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e4073_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_e4073_row15_col0\" class=\"data row15 col0\" >8.71</td>\n",
+ " <td id=\"T_e4073_row15_col1\" class=\"data row15 col1\" >2.07</td>\n",
+ " <td id=\"T_e4073_row15_col2\" class=\"data row15 col2\" >0.16</td>\n",
+ " <td id=\"T_e4073_row15_col3\" class=\"data row15 col3\" >0.04</td>\n",
+ " <td id=\"T_e4073_row15_col4\" class=\"data row15 col4\" >32.50</td>\n",
+ " <td id=\"T_e4073_row15_col5\" class=\"data row15 col5\" >3.48</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0e5e910>"
+ "<pandas.io.formats.style.Styler at 0x76062faf1890>"
]
},
"metadata": {},
@@ -9055,7 +9049,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -9075,826 +9069,826 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_fbfcf td {\n",
+ "#T_97ce2 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_fbfcf th {\n",
+ "#T_97ce2 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_fbfcf_row0_col0, #T_fbfcf_row60_col0 {\n",
+ "#T_97ce2_row0_col0, #T_97ce2_row60_col0 {\n",
" background-color: #b9f6b9;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row0_col2, #T_fbfcf_row60_col2 {\n",
+ "#T_97ce2_row0_col2, #T_97ce2_row60_col2 {\n",
" background-color: #a9f7a9;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row1_col0, #T_fbfcf_row61_col0 {\n",
+ "#T_97ce2_row1_col0, #T_97ce2_row61_col0 {\n",
" background-color: #a6f7a6;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row1_col2, #T_fbfcf_row61_col2 {\n",
+ "#T_97ce2_row1_col2, #T_97ce2_row61_col2 {\n",
" background-color: #98f898;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row2_col0, #T_fbfcf_row62_col0 {\n",
+ "#T_97ce2_row2_col0, #T_97ce2_row62_col0 {\n",
" background-color: #aaf7aa;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row2_col2, #T_fbfcf_row62_col2 {\n",
+ "#T_97ce2_row2_col2, #T_97ce2_row62_col2 {\n",
" background-color: #96f996;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row3_col0, #T_fbfcf_row44_col0, #T_fbfcf_row48_col0, #T_fbfcf_row63_col0 {\n",
+ "#T_97ce2_row3_col0, #T_97ce2_row44_col0, #T_97ce2_row48_col0, #T_97ce2_row63_col0 {\n",
" background-color: #a4f8a4;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row3_col2, #T_fbfcf_row59_col0, #T_fbfcf_row63_col2 {\n",
+ "#T_97ce2_row3_col2, #T_97ce2_row59_col0, #T_97ce2_row63_col2 {\n",
" background-color: #92f992;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row4_col0 {\n",
+ "#T_97ce2_row4_col0 {\n",
" background-color: #4afe4a;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row4_col2 {\n",
+ "#T_97ce2_row4_col2 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row5_col0, #T_fbfcf_row6_col0 {\n",
+ "#T_97ce2_row5_col0, #T_97ce2_row6_col0 {\n",
" background-color: #ccf5cc;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row5_col2, #T_fbfcf_row7_col2, #T_fbfcf_row11_col2, #T_fbfcf_row15_col2 {\n",
+ "#T_97ce2_row5_col2, #T_97ce2_row7_col2, #T_97ce2_row11_col2, #T_97ce2_row15_col2 {\n",
" background-color: #b8f6b8;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row6_col2, #T_fbfcf_row10_col2 {\n",
+ "#T_97ce2_row6_col2, #T_97ce2_row10_col2 {\n",
" background-color: #b7f6b7;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row7_col0 {\n",
+ "#T_97ce2_row7_col0 {\n",
" background-color: #cbf5cb;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row8_col0, #T_fbfcf_row12_col0, #T_fbfcf_row23_col2, #T_fbfcf_row25_col2 {\n",
+ "#T_97ce2_row8_col0, #T_97ce2_row12_col0, #T_97ce2_row23_col2, #T_97ce2_row25_col2 {\n",
" background-color: #d6f4d6;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row8_col2 {\n",
+ "#T_97ce2_row8_col2 {\n",
" background-color: #c5f5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row9_col0, #T_fbfcf_row9_col2, #T_fbfcf_row19_col2 {\n",
+ "#T_97ce2_row9_col0, #T_97ce2_row9_col2, #T_97ce2_row19_col2 {\n",
" background-color: #35ff35;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row10_col0 {\n",
+ "#T_97ce2_row10_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row11_col0 {\n",
+ "#T_97ce2_row11_col0 {\n",
" background-color: #cef5ce;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row12_col2 {\n",
+ "#T_97ce2_row12_col2 {\n",
" background-color: #c2f6c2;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row13_col0, #T_fbfcf_row15_col0, #T_fbfcf_row29_col2 {\n",
+ "#T_97ce2_row13_col0, #T_97ce2_row15_col0, #T_97ce2_row29_col2 {\n",
" background-color: #d1f5d1;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row13_col2 {\n",
+ "#T_97ce2_row13_col2 {\n",
" background-color: #bcf6bc;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row14_col0, #T_fbfcf_row14_col2, #T_fbfcf_row19_col0 {\n",
+ "#T_97ce2_row14_col0, #T_97ce2_row14_col2, #T_97ce2_row19_col0 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row16_col0, #T_fbfcf_row35_col2, #T_fbfcf_row41_col2 {\n",
+ "#T_97ce2_row16_col0, #T_97ce2_row35_col2, #T_97ce2_row41_col2 {\n",
" background-color: #d9f4d9;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row16_col2 {\n",
+ "#T_97ce2_row16_col2 {\n",
" background-color: #c7f5c7;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row17_col0, #T_fbfcf_row18_col0 {\n",
+ "#T_97ce2_row17_col0, #T_97ce2_row18_col0 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row17_col2 {\n",
+ "#T_97ce2_row17_col2 {\n",
" background-color: #baf6ba;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row18_col2 {\n",
+ "#T_97ce2_row18_col2 {\n",
" background-color: #b4f7b4;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row20_col0 {\n",
+ "#T_97ce2_row20_col0 {\n",
" background-color: #87fa87;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row20_col2, #T_fbfcf_row31_col0 {\n",
+ "#T_97ce2_row20_col2, #T_97ce2_row31_col0 {\n",
" background-color: #68fc68;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row21_col0 {\n",
+ "#T_97ce2_row21_col0 {\n",
" background-color: #64fc64;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row21_col2, #T_fbfcf_row33_col2 {\n",
+ "#T_97ce2_row21_col2, #T_97ce2_row33_col2 {\n",
" background-color: #58fd58;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row22_col0, #T_fbfcf_row30_col0, #T_fbfcf_row36_col2 {\n",
+ "#T_97ce2_row22_col0, #T_97ce2_row30_col0, #T_97ce2_row36_col2 {\n",
" background-color: #e1f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row22_col2, #T_fbfcf_row30_col2 {\n",
+ "#T_97ce2_row22_col2, #T_97ce2_row30_col2 {\n",
" background-color: #d2f5d2;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row23_col0, #T_fbfcf_row41_col0 {\n",
+ "#T_97ce2_row23_col0, #T_97ce2_row41_col0 {\n",
" background-color: #e2f4e2;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row24_col0 {\n",
+ "#T_97ce2_row24_col0 {\n",
" background-color: #86fa86;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row24_col2 {\n",
+ "#T_97ce2_row24_col2 {\n",
" background-color: #6cfb6c;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row25_col0, #T_fbfcf_row40_col2 {\n",
+ "#T_97ce2_row25_col0, #T_97ce2_row40_col2 {\n",
" background-color: #e0f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row26_col0 {\n",
+ "#T_97ce2_row26_col0 {\n",
" background-color: #65fc65;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row26_col2 {\n",
+ "#T_97ce2_row26_col2 {\n",
" background-color: #4ffd4f;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row27_col0, #T_fbfcf_row35_col0, #T_fbfcf_row38_col0 {\n",
+ "#T_97ce2_row27_col0, #T_97ce2_row35_col0, #T_97ce2_row38_col0 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row27_col2 {\n",
+ "#T_97ce2_row27_col2 {\n",
" background-color: #d8f4d8;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row28_col0 {\n",
+ "#T_97ce2_row28_col0 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row28_col2 {\n",
+ "#T_97ce2_row28_col2 {\n",
" background-color: #6dfb6d;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row29_col0 {\n",
+ "#T_97ce2_row29_col0 {\n",
" background-color: #def4de;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row31_col2 {\n",
+ "#T_97ce2_row31_col2 {\n",
" background-color: #5afc5a;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row32_col0, #T_fbfcf_row36_col0, #T_fbfcf_row40_col0, #T_fbfcf_row53_col2 {\n",
+ "#T_97ce2_row32_col0, #T_97ce2_row36_col0, #T_97ce2_row40_col0, #T_97ce2_row53_col2 {\n",
" background-color: #e6f3e6;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row32_col2 {\n",
+ "#T_97ce2_row32_col2 {\n",
" background-color: #dff4df;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row33_col0, #T_fbfcf_row37_col0 {\n",
+ "#T_97ce2_row33_col0, #T_97ce2_row37_col0 {\n",
" background-color: #70fb70;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row34_col0, #T_fbfcf_row39_col0 {\n",
+ "#T_97ce2_row34_col0, #T_97ce2_row39_col0 {\n",
" background-color: #75fb75;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row34_col2 {\n",
+ "#T_97ce2_row34_col2 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row37_col2 {\n",
+ "#T_97ce2_row37_col2 {\n",
" background-color: #57fd57;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row38_col2 {\n",
+ "#T_97ce2_row38_col2 {\n",
" background-color: #d5f4d5;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row39_col2 {\n",
+ "#T_97ce2_row39_col2 {\n",
" background-color: #5dfc5d;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row42_col0 {\n",
+ "#T_97ce2_row42_col0 {\n",
" background-color: #6efb6e;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row42_col2 {\n",
+ "#T_97ce2_row42_col2 {\n",
" background-color: #56fd56;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row43_col0, #T_fbfcf_row46_col2 {\n",
+ "#T_97ce2_row43_col0, #T_97ce2_row46_col2 {\n",
" background-color: #77fb77;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row43_col2 {\n",
+ "#T_97ce2_row43_col2 {\n",
" background-color: #5bfc5b;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row44_col2, #T_fbfcf_row46_col0, #T_fbfcf_row51_col0 {\n",
+ "#T_97ce2_row44_col2, #T_97ce2_row46_col0, #T_97ce2_row51_col0 {\n",
" background-color: #8df98d;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row45_col0, #T_fbfcf_row52_col2 {\n",
+ "#T_97ce2_row45_col0, #T_97ce2_row52_col2 {\n",
" background-color: #91f991;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row45_col2, #T_fbfcf_row49_col2 {\n",
+ "#T_97ce2_row45_col2, #T_97ce2_row49_col2 {\n",
" background-color: #7cfa7c;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row47_col0, #T_fbfcf_row47_col2 {\n",
+ "#T_97ce2_row47_col0, #T_97ce2_row47_col2 {\n",
" background-color: #eaf3ea;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row48_col2 {\n",
+ "#T_97ce2_row48_col2 {\n",
" background-color: #90f990;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row49_col0 {\n",
+ "#T_97ce2_row49_col0 {\n",
" background-color: #93f993;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row50_col0 {\n",
+ "#T_97ce2_row50_col0 {\n",
" background-color: #e9f3e9;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row50_col2 {\n",
+ "#T_97ce2_row50_col2 {\n",
" background-color: #e5f3e5;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row51_col2 {\n",
+ "#T_97ce2_row51_col2 {\n",
" background-color: #79fa79;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row52_col0 {\n",
+ "#T_97ce2_row52_col0 {\n",
" background-color: #a3f8a3;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row53_col0 {\n",
+ "#T_97ce2_row53_col0 {\n",
" background-color: #e8f3e8;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row54_col0 {\n",
+ "#T_97ce2_row54_col0 {\n",
" background-color: #94f994;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row54_col2 {\n",
+ "#T_97ce2_row54_col2 {\n",
" background-color: #78fb78;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row55_col0 {\n",
+ "#T_97ce2_row55_col0 {\n",
" background-color: #8ff98f;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row55_col2 {\n",
+ "#T_97ce2_row55_col2 {\n",
" background-color: #7bfa7b;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row56_col0, #T_fbfcf_row56_col2 {\n",
+ "#T_97ce2_row56_col0, #T_97ce2_row56_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row57_col0 {\n",
+ "#T_97ce2_row57_col0 {\n",
" background-color: #95f995;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row57_col2, #T_fbfcf_row58_col2 {\n",
+ "#T_97ce2_row57_col2, #T_97ce2_row58_col2 {\n",
" background-color: #81fa81;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row58_col0 {\n",
+ "#T_97ce2_row58_col0 {\n",
" background-color: #9cf89c;\n",
" color: #000000;\n",
"}\n",
- "#T_fbfcf_row59_col2 {\n",
+ "#T_97ce2_row59_col2 {\n",
" background-color: #7dfa7d;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_fbfcf\">\n",
+ "<table id=\"T_97ce2\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_fbfcf_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " <th id=\"T_97ce2_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_fbfcf_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
- " <th id=\"T_fbfcf_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_97ce2_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_97ce2_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_fbfcf_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
- " <th id=\"T_fbfcf_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_fbfcf_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
- " <th id=\"T_fbfcf_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_97ce2_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_97ce2_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_97ce2_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_97ce2_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_fbfcf_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_fbfcf_row0_col0\" class=\"data row0 col0\" >19.65</td>\n",
- " <td id=\"T_fbfcf_row0_col1\" class=\"data row0 col1\" >4.16</td>\n",
- " <td id=\"T_fbfcf_row0_col2\" class=\"data row0 col2\" >20.66</td>\n",
- " <td id=\"T_fbfcf_row0_col3\" class=\"data row0 col3\" >4.17</td>\n",
+ " <th id=\"T_97ce2_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_97ce2_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_97ce2_row0_col0\" class=\"data row0 col0\" >19.65</td>\n",
+ " <td id=\"T_97ce2_row0_col1\" class=\"data row0 col1\" >4.16</td>\n",
+ " <td id=\"T_97ce2_row0_col2\" class=\"data row0 col2\" >20.66</td>\n",
+ " <td id=\"T_97ce2_row0_col3\" class=\"data row0 col3\" >4.17</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_fbfcf_row1_col0\" class=\"data row1 col0\" >26.73</td>\n",
- " <td id=\"T_fbfcf_row1_col1\" class=\"data row1 col1\" >4.86</td>\n",
- " <td id=\"T_fbfcf_row1_col2\" class=\"data row1 col2\" >25.36</td>\n",
- " <td id=\"T_fbfcf_row1_col3\" class=\"data row1 col3\" >4.92</td>\n",
+ " <th id=\"T_97ce2_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_97ce2_row1_col0\" class=\"data row1 col0\" >26.73</td>\n",
+ " <td id=\"T_97ce2_row1_col1\" class=\"data row1 col1\" >4.86</td>\n",
+ " <td id=\"T_97ce2_row1_col2\" class=\"data row1 col2\" >25.36</td>\n",
+ " <td id=\"T_97ce2_row1_col3\" class=\"data row1 col3\" >4.92</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_fbfcf_row2_col0\" class=\"data row2 col0\" >25.18</td>\n",
- " <td id=\"T_fbfcf_row2_col1\" class=\"data row2 col1\" >4.37</td>\n",
- " <td id=\"T_fbfcf_row2_col2\" class=\"data row2 col2\" >26.14</td>\n",
- " <td id=\"T_fbfcf_row2_col3\" class=\"data row2 col3\" >4.32</td>\n",
+ " <th id=\"T_97ce2_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_97ce2_row2_col0\" class=\"data row2 col0\" >25.18</td>\n",
+ " <td id=\"T_97ce2_row2_col1\" class=\"data row2 col1\" >4.37</td>\n",
+ " <td id=\"T_97ce2_row2_col2\" class=\"data row2 col2\" >26.14</td>\n",
+ " <td id=\"T_97ce2_row2_col3\" class=\"data row2 col3\" >4.32</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_fbfcf_row3_col0\" class=\"data row3 col0\" >27.23</td>\n",
- " <td id=\"T_fbfcf_row3_col1\" class=\"data row3 col1\" >5.17</td>\n",
- " <td id=\"T_fbfcf_row3_col2\" class=\"data row3 col2\" >27.09</td>\n",
- " <td id=\"T_fbfcf_row3_col3\" class=\"data row3 col3\" >4.49</td>\n",
+ " <th id=\"T_97ce2_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_97ce2_row3_col0\" class=\"data row3 col0\" >27.23</td>\n",
+ " <td id=\"T_97ce2_row3_col1\" class=\"data row3 col1\" >5.17</td>\n",
+ " <td id=\"T_97ce2_row3_col2\" class=\"data row3 col2\" >27.09</td>\n",
+ " <td id=\"T_97ce2_row3_col3\" class=\"data row3 col3\" >4.49</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_fbfcf_row4_col0\" class=\"data row4 col0\" >61.04</td>\n",
- " <td id=\"T_fbfcf_row4_col1\" class=\"data row4 col1\" >5.03</td>\n",
- " <td id=\"T_fbfcf_row4_col2\" class=\"data row4 col2\" >49.55</td>\n",
- " <td id=\"T_fbfcf_row4_col3\" class=\"data row4 col3\" >5.76</td>\n",
+ " <th id=\"T_97ce2_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_97ce2_row4_col0\" class=\"data row4 col0\" >61.04</td>\n",
+ " <td id=\"T_97ce2_row4_col1\" class=\"data row4 col1\" >5.03</td>\n",
+ " <td id=\"T_97ce2_row4_col2\" class=\"data row4 col2\" >49.55</td>\n",
+ " <td id=\"T_97ce2_row4_col3\" class=\"data row4 col3\" >5.76</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_fbfcf_row5_col0\" class=\"data row5 col0\" >12.41</td>\n",
- " <td id=\"T_fbfcf_row5_col1\" class=\"data row5 col1\" >3.36</td>\n",
- " <td id=\"T_fbfcf_row5_col2\" class=\"data row5 col2\" >16.55</td>\n",
- " <td id=\"T_fbfcf_row5_col3\" class=\"data row5 col3\" >4.04</td>\n",
+ " <th id=\"T_97ce2_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_97ce2_row5_col0\" class=\"data row5 col0\" >12.41</td>\n",
+ " <td id=\"T_97ce2_row5_col1\" class=\"data row5 col1\" >3.36</td>\n",
+ " <td id=\"T_97ce2_row5_col2\" class=\"data row5 col2\" >16.55</td>\n",
+ " <td id=\"T_97ce2_row5_col3\" class=\"data row5 col3\" >4.04</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_fbfcf_row6_col0\" class=\"data row6 col0\" >12.57</td>\n",
- " <td id=\"T_fbfcf_row6_col1\" class=\"data row6 col1\" >3.39</td>\n",
- " <td id=\"T_fbfcf_row6_col2\" class=\"data row6 col2\" >16.81</td>\n",
- " <td id=\"T_fbfcf_row6_col3\" class=\"data row6 col3\" >4.54</td>\n",
+ " <th id=\"T_97ce2_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_97ce2_row6_col0\" class=\"data row6 col0\" >12.57</td>\n",
+ " <td id=\"T_97ce2_row6_col1\" class=\"data row6 col1\" >3.39</td>\n",
+ " <td id=\"T_97ce2_row6_col2\" class=\"data row6 col2\" >16.81</td>\n",
+ " <td id=\"T_97ce2_row6_col3\" class=\"data row6 col3\" >4.54</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_fbfcf_row7_col0\" class=\"data row7 col0\" >12.85</td>\n",
- " <td id=\"T_fbfcf_row7_col1\" class=\"data row7 col1\" >3.98</td>\n",
- " <td id=\"T_fbfcf_row7_col2\" class=\"data row7 col2\" >16.43</td>\n",
- " <td id=\"T_fbfcf_row7_col3\" class=\"data row7 col3\" >4.11</td>\n",
+ " <th id=\"T_97ce2_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_97ce2_row7_col0\" class=\"data row7 col0\" >12.85</td>\n",
+ " <td id=\"T_97ce2_row7_col1\" class=\"data row7 col1\" >3.98</td>\n",
+ " <td id=\"T_97ce2_row7_col2\" class=\"data row7 col2\" >16.43</td>\n",
+ " <td id=\"T_97ce2_row7_col3\" class=\"data row7 col3\" >4.11</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_fbfcf_row8_col0\" class=\"data row8 col0\" >8.46</td>\n",
- " <td id=\"T_fbfcf_row8_col1\" class=\"data row8 col1\" >2.93</td>\n",
- " <td id=\"T_fbfcf_row8_col2\" class=\"data row8 col2\" >12.85</td>\n",
- " <td id=\"T_fbfcf_row8_col3\" class=\"data row8 col3\" >3.50</td>\n",
+ " <th id=\"T_97ce2_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_97ce2_row8_col0\" class=\"data row8 col0\" >8.46</td>\n",
+ " <td id=\"T_97ce2_row8_col1\" class=\"data row8 col1\" >2.93</td>\n",
+ " <td id=\"T_97ce2_row8_col2\" class=\"data row8 col2\" >12.85</td>\n",
+ " <td id=\"T_97ce2_row8_col3\" class=\"data row8 col3\" >3.50</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_fbfcf_row9_col0\" class=\"data row9 col0\" >69.15</td>\n",
- " <td id=\"T_fbfcf_row9_col1\" class=\"data row9 col1\" >5.91</td>\n",
- " <td id=\"T_fbfcf_row9_col2\" class=\"data row9 col2\" >53.00</td>\n",
- " <td id=\"T_fbfcf_row9_col3\" class=\"data row9 col3\" >6.91</td>\n",
+ " <th id=\"T_97ce2_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_97ce2_row9_col0\" class=\"data row9 col0\" >69.15</td>\n",
+ " <td id=\"T_97ce2_row9_col1\" class=\"data row9 col1\" >5.91</td>\n",
+ " <td id=\"T_97ce2_row9_col2\" class=\"data row9 col2\" >53.00</td>\n",
+ " <td id=\"T_97ce2_row9_col3\" class=\"data row9 col3\" >6.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_fbfcf_row10_col0\" class=\"data row10 col0\" >9.50</td>\n",
- " <td id=\"T_fbfcf_row10_col1\" class=\"data row10 col1\" >3.17</td>\n",
- " <td id=\"T_fbfcf_row10_col2\" class=\"data row10 col2\" >16.76</td>\n",
- " <td id=\"T_fbfcf_row10_col3\" class=\"data row10 col3\" >4.47</td>\n",
+ " <th id=\"T_97ce2_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_97ce2_row10_col0\" class=\"data row10 col0\" >9.50</td>\n",
+ " <td id=\"T_97ce2_row10_col1\" class=\"data row10 col1\" >3.17</td>\n",
+ " <td id=\"T_97ce2_row10_col2\" class=\"data row10 col2\" >16.76</td>\n",
+ " <td id=\"T_97ce2_row10_col3\" class=\"data row10 col3\" >4.47</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_fbfcf_row11_col0\" class=\"data row11 col0\" >11.68</td>\n",
- " <td id=\"T_fbfcf_row11_col1\" class=\"data row11 col1\" >3.52</td>\n",
- " <td id=\"T_fbfcf_row11_col2\" class=\"data row11 col2\" >16.69</td>\n",
- " <td id=\"T_fbfcf_row11_col3\" class=\"data row11 col3\" >4.09</td>\n",
+ " <th id=\"T_97ce2_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_97ce2_row11_col0\" class=\"data row11 col0\" >11.68</td>\n",
+ " <td id=\"T_97ce2_row11_col1\" class=\"data row11 col1\" >3.52</td>\n",
+ " <td id=\"T_97ce2_row11_col2\" class=\"data row11 col2\" >16.69</td>\n",
+ " <td id=\"T_97ce2_row11_col3\" class=\"data row11 col3\" >4.09</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_fbfcf_row12_col0\" class=\"data row12 col0\" >8.54</td>\n",
- " <td id=\"T_fbfcf_row12_col1\" class=\"data row12 col1\" >3.54</td>\n",
- " <td id=\"T_fbfcf_row12_col2\" class=\"data row12 col2\" >13.79</td>\n",
- " <td id=\"T_fbfcf_row12_col3\" class=\"data row12 col3\" >4.69</td>\n",
+ " <th id=\"T_97ce2_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_97ce2_row12_col0\" class=\"data row12 col0\" >8.54</td>\n",
+ " <td id=\"T_97ce2_row12_col1\" class=\"data row12 col1\" >3.54</td>\n",
+ " <td id=\"T_97ce2_row12_col2\" class=\"data row12 col2\" >13.79</td>\n",
+ " <td id=\"T_97ce2_row12_col3\" class=\"data row12 col3\" >4.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_fbfcf_row13_col0\" class=\"data row13 col0\" >10.35</td>\n",
- " <td id=\"T_fbfcf_row13_col1\" class=\"data row13 col1\" >3.49</td>\n",
- " <td id=\"T_fbfcf_row13_col2\" class=\"data row13 col2\" >15.54</td>\n",
- " <td id=\"T_fbfcf_row13_col3\" class=\"data row13 col3\" >4.27</td>\n",
+ " <th id=\"T_97ce2_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_97ce2_row13_col0\" class=\"data row13 col0\" >10.35</td>\n",
+ " <td id=\"T_97ce2_row13_col1\" class=\"data row13 col1\" >3.49</td>\n",
+ " <td id=\"T_97ce2_row13_col2\" class=\"data row13 col2\" >15.54</td>\n",
+ " <td id=\"T_97ce2_row13_col3\" class=\"data row13 col3\" >4.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_fbfcf_row14_col0\" class=\"data row14 col0\" >69.49</td>\n",
- " <td id=\"T_fbfcf_row14_col1\" class=\"data row14 col1\" >6.18</td>\n",
- " <td id=\"T_fbfcf_row14_col2\" class=\"data row14 col2\" >53.56</td>\n",
- " <td id=\"T_fbfcf_row14_col3\" class=\"data row14 col3\" >6.62</td>\n",
+ " <th id=\"T_97ce2_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_97ce2_row14_col0\" class=\"data row14 col0\" >69.49</td>\n",
+ " <td id=\"T_97ce2_row14_col1\" class=\"data row14 col1\" >6.18</td>\n",
+ " <td id=\"T_97ce2_row14_col2\" class=\"data row14 col2\" >53.56</td>\n",
+ " <td id=\"T_97ce2_row14_col3\" class=\"data row14 col3\" >6.62</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_fbfcf_row15_col0\" class=\"data row15 col0\" >10.50</td>\n",
- " <td id=\"T_fbfcf_row15_col1\" class=\"data row15 col1\" >3.46</td>\n",
- " <td id=\"T_fbfcf_row15_col2\" class=\"data row15 col2\" >16.43</td>\n",
- " <td id=\"T_fbfcf_row15_col3\" class=\"data row15 col3\" >3.82</td>\n",
+ " <th id=\"T_97ce2_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_97ce2_row15_col0\" class=\"data row15 col0\" >10.50</td>\n",
+ " <td id=\"T_97ce2_row15_col1\" class=\"data row15 col1\" >3.46</td>\n",
+ " <td id=\"T_97ce2_row15_col2\" class=\"data row15 col2\" >16.43</td>\n",
+ " <td id=\"T_97ce2_row15_col3\" class=\"data row15 col3\" >3.82</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_fbfcf_row16_col0\" class=\"data row16 col0\" >7.50</td>\n",
- " <td id=\"T_fbfcf_row16_col1\" class=\"data row16 col1\" >2.99</td>\n",
- " <td id=\"T_fbfcf_row16_col2\" class=\"data row16 col2\" >12.40</td>\n",
- " <td id=\"T_fbfcf_row16_col3\" class=\"data row16 col3\" >4.06</td>\n",
+ " <th id=\"T_97ce2_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_97ce2_row16_col0\" class=\"data row16 col0\" >7.50</td>\n",
+ " <td id=\"T_97ce2_row16_col1\" class=\"data row16 col1\" >2.99</td>\n",
+ " <td id=\"T_97ce2_row16_col2\" class=\"data row16 col2\" >12.40</td>\n",
+ " <td id=\"T_97ce2_row16_col3\" class=\"data row16 col3\" >4.06</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_fbfcf_row17_col0\" class=\"data row17 col0\" >10.97</td>\n",
- " <td id=\"T_fbfcf_row17_col1\" class=\"data row17 col1\" >3.75</td>\n",
- " <td id=\"T_fbfcf_row17_col2\" class=\"data row17 col2\" >16.07</td>\n",
- " <td id=\"T_fbfcf_row17_col3\" class=\"data row17 col3\" >4.18</td>\n",
+ " <th id=\"T_97ce2_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_97ce2_row17_col0\" class=\"data row17 col0\" >10.97</td>\n",
+ " <td id=\"T_97ce2_row17_col1\" class=\"data row17 col1\" >3.75</td>\n",
+ " <td id=\"T_97ce2_row17_col2\" class=\"data row17 col2\" >16.07</td>\n",
+ " <td id=\"T_97ce2_row17_col3\" class=\"data row17 col3\" >4.18</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_fbfcf_row18_col0\" class=\"data row18 col0\" >11.09</td>\n",
- " <td id=\"T_fbfcf_row18_col1\" class=\"data row18 col1\" >3.63</td>\n",
- " <td id=\"T_fbfcf_row18_col2\" class=\"data row18 col2\" >17.74</td>\n",
- " <td id=\"T_fbfcf_row18_col3\" class=\"data row18 col3\" >4.25</td>\n",
+ " <th id=\"T_97ce2_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_97ce2_row18_col0\" class=\"data row18 col0\" >11.09</td>\n",
+ " <td id=\"T_97ce2_row18_col1\" class=\"data row18 col1\" >3.63</td>\n",
+ " <td id=\"T_97ce2_row18_col2\" class=\"data row18 col2\" >17.74</td>\n",
+ " <td id=\"T_97ce2_row18_col3\" class=\"data row18 col3\" >4.25</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_fbfcf_row19_col0\" class=\"data row19 col0\" >69.24</td>\n",
- " <td id=\"T_fbfcf_row19_col1\" class=\"data row19 col1\" >5.98</td>\n",
- " <td id=\"T_fbfcf_row19_col2\" class=\"data row19 col2\" >53.10</td>\n",
- " <td id=\"T_fbfcf_row19_col3\" class=\"data row19 col3\" >6.86</td>\n",
+ " <th id=\"T_97ce2_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_97ce2_row19_col0\" class=\"data row19 col0\" >69.24</td>\n",
+ " <td id=\"T_97ce2_row19_col1\" class=\"data row19 col1\" >5.98</td>\n",
+ " <td id=\"T_97ce2_row19_col2\" class=\"data row19 col2\" >53.10</td>\n",
+ " <td id=\"T_97ce2_row19_col3\" class=\"data row19 col3\" >6.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_fbfcf_row20_col0\" class=\"data row20 col0\" >38.38</td>\n",
- " <td id=\"T_fbfcf_row20_col1\" class=\"data row20 col1\" >5.08</td>\n",
- " <td id=\"T_fbfcf_row20_col2\" class=\"data row20 col2\" >38.83</td>\n",
- " <td id=\"T_fbfcf_row20_col3\" class=\"data row20 col3\" >5.23</td>\n",
+ " <th id=\"T_97ce2_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_97ce2_row20_col0\" class=\"data row20 col0\" >38.38</td>\n",
+ " <td id=\"T_97ce2_row20_col1\" class=\"data row20 col1\" >5.08</td>\n",
+ " <td id=\"T_97ce2_row20_col2\" class=\"data row20 col2\" >38.83</td>\n",
+ " <td id=\"T_97ce2_row20_col3\" class=\"data row20 col3\" >5.23</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_fbfcf_row21_col0\" class=\"data row21 col0\" >51.36</td>\n",
- " <td id=\"T_fbfcf_row21_col1\" class=\"data row21 col1\" >4.94</td>\n",
- " <td id=\"T_fbfcf_row21_col2\" class=\"data row21 col2\" >43.40</td>\n",
- " <td id=\"T_fbfcf_row21_col3\" class=\"data row21 col3\" >5.78</td>\n",
+ " <th id=\"T_97ce2_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_97ce2_row21_col0\" class=\"data row21 col0\" >51.36</td>\n",
+ " <td id=\"T_97ce2_row21_col1\" class=\"data row21 col1\" >4.94</td>\n",
+ " <td id=\"T_97ce2_row21_col2\" class=\"data row21 col2\" >43.40</td>\n",
+ " <td id=\"T_97ce2_row21_col3\" class=\"data row21 col3\" >5.78</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_fbfcf_row22_col0\" class=\"data row22 col0\" >4.89</td>\n",
- " <td id=\"T_fbfcf_row22_col1\" class=\"data row22 col1\" >2.60</td>\n",
- " <td id=\"T_fbfcf_row22_col2\" class=\"data row22 col2\" >9.18</td>\n",
- " <td id=\"T_fbfcf_row22_col3\" class=\"data row22 col3\" >3.44</td>\n",
+ " <th id=\"T_97ce2_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_97ce2_row22_col0\" class=\"data row22 col0\" >4.89</td>\n",
+ " <td id=\"T_97ce2_row22_col1\" class=\"data row22 col1\" >2.60</td>\n",
+ " <td id=\"T_97ce2_row22_col2\" class=\"data row22 col2\" >9.18</td>\n",
+ " <td id=\"T_97ce2_row22_col3\" class=\"data row22 col3\" >3.44</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_fbfcf_row23_col0\" class=\"data row23 col0\" >4.20</td>\n",
- " <td id=\"T_fbfcf_row23_col1\" class=\"data row23 col1\" >2.62</td>\n",
- " <td id=\"T_fbfcf_row23_col2\" class=\"data row23 col2\" >7.95</td>\n",
- " <td id=\"T_fbfcf_row23_col3\" class=\"data row23 col3\" >3.27</td>\n",
+ " <th id=\"T_97ce2_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_97ce2_row23_col0\" class=\"data row23 col0\" >4.20</td>\n",
+ " <td id=\"T_97ce2_row23_col1\" class=\"data row23 col1\" >2.62</td>\n",
+ " <td id=\"T_97ce2_row23_col2\" class=\"data row23 col2\" >7.95</td>\n",
+ " <td id=\"T_97ce2_row23_col3\" class=\"data row23 col3\" >3.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_fbfcf_row24_col0\" class=\"data row24 col0\" >38.73</td>\n",
- " <td id=\"T_fbfcf_row24_col1\" class=\"data row24 col1\" >5.11</td>\n",
- " <td id=\"T_fbfcf_row24_col2\" class=\"data row24 col2\" >37.76</td>\n",
- " <td id=\"T_fbfcf_row24_col3\" class=\"data row24 col3\" >5.45</td>\n",
+ " <th id=\"T_97ce2_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_97ce2_row24_col0\" class=\"data row24 col0\" >38.73</td>\n",
+ " <td id=\"T_97ce2_row24_col1\" class=\"data row24 col1\" >5.11</td>\n",
+ " <td id=\"T_97ce2_row24_col2\" class=\"data row24 col2\" >37.76</td>\n",
+ " <td id=\"T_97ce2_row24_col3\" class=\"data row24 col3\" >5.45</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_fbfcf_row25_col0\" class=\"data row25 col0\" >5.06</td>\n",
- " <td id=\"T_fbfcf_row25_col1\" class=\"data row25 col1\" >3.14</td>\n",
- " <td id=\"T_fbfcf_row25_col2\" class=\"data row25 col2\" >8.12</td>\n",
- " <td id=\"T_fbfcf_row25_col3\" class=\"data row25 col3\" >3.44</td>\n",
+ " <th id=\"T_97ce2_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_97ce2_row25_col0\" class=\"data row25 col0\" >5.06</td>\n",
+ " <td id=\"T_97ce2_row25_col1\" class=\"data row25 col1\" >3.14</td>\n",
+ " <td id=\"T_97ce2_row25_col2\" class=\"data row25 col2\" >8.12</td>\n",
+ " <td id=\"T_97ce2_row25_col3\" class=\"data row25 col3\" >3.44</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_fbfcf_row26_col0\" class=\"data row26 col0\" >50.90</td>\n",
- " <td id=\"T_fbfcf_row26_col1\" class=\"data row26 col1\" >5.12</td>\n",
- " <td id=\"T_fbfcf_row26_col2\" class=\"data row26 col2\" >45.88</td>\n",
- " <td id=\"T_fbfcf_row26_col3\" class=\"data row26 col3\" >5.63</td>\n",
+ " <th id=\"T_97ce2_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_97ce2_row26_col0\" class=\"data row26 col0\" >50.90</td>\n",
+ " <td id=\"T_97ce2_row26_col1\" class=\"data row26 col1\" >5.12</td>\n",
+ " <td id=\"T_97ce2_row26_col2\" class=\"data row26 col2\" >45.88</td>\n",
+ " <td id=\"T_97ce2_row26_col3\" class=\"data row26 col3\" >5.63</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_fbfcf_row27_col0\" class=\"data row27 col0\" >4.14</td>\n",
- " <td id=\"T_fbfcf_row27_col1\" class=\"data row27 col1\" >2.38</td>\n",
- " <td id=\"T_fbfcf_row27_col2\" class=\"data row27 col2\" >7.60</td>\n",
- " <td id=\"T_fbfcf_row27_col3\" class=\"data row27 col3\" >3.28</td>\n",
+ " <th id=\"T_97ce2_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_97ce2_row27_col0\" class=\"data row27 col0\" >4.14</td>\n",
+ " <td id=\"T_97ce2_row27_col1\" class=\"data row27 col1\" >2.38</td>\n",
+ " <td id=\"T_97ce2_row27_col2\" class=\"data row27 col2\" >7.60</td>\n",
+ " <td id=\"T_97ce2_row27_col3\" class=\"data row27 col3\" >3.28</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_fbfcf_row28_col0\" class=\"data row28 col0\" >37.86</td>\n",
- " <td id=\"T_fbfcf_row28_col1\" class=\"data row28 col1\" >5.60</td>\n",
- " <td id=\"T_fbfcf_row28_col2\" class=\"data row28 col2\" >37.45</td>\n",
- " <td id=\"T_fbfcf_row28_col3\" class=\"data row28 col3\" >5.63</td>\n",
+ " <th id=\"T_97ce2_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_97ce2_row28_col0\" class=\"data row28 col0\" >37.86</td>\n",
+ " <td id=\"T_97ce2_row28_col1\" class=\"data row28 col1\" >5.60</td>\n",
+ " <td id=\"T_97ce2_row28_col2\" class=\"data row28 col2\" >37.45</td>\n",
+ " <td id=\"T_97ce2_row28_col3\" class=\"data row28 col3\" >5.63</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_fbfcf_row29_col0\" class=\"data row29 col0\" >5.94</td>\n",
- " <td id=\"T_fbfcf_row29_col1\" class=\"data row29 col1\" >3.19</td>\n",
- " <td id=\"T_fbfcf_row29_col2\" class=\"data row29 col2\" >9.68</td>\n",
- " <td id=\"T_fbfcf_row29_col3\" class=\"data row29 col3\" >3.57</td>\n",
+ " <th id=\"T_97ce2_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_97ce2_row29_col0\" class=\"data row29 col0\" >5.94</td>\n",
+ " <td id=\"T_97ce2_row29_col1\" class=\"data row29 col1\" >3.19</td>\n",
+ " <td id=\"T_97ce2_row29_col2\" class=\"data row29 col2\" >9.68</td>\n",
+ " <td id=\"T_97ce2_row29_col3\" class=\"data row29 col3\" >3.57</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_fbfcf_row30_col0\" class=\"data row30 col0\" >4.91</td>\n",
- " <td id=\"T_fbfcf_row30_col1\" class=\"data row30 col1\" >2.54</td>\n",
- " <td id=\"T_fbfcf_row30_col2\" class=\"data row30 col2\" >9.29</td>\n",
- " <td id=\"T_fbfcf_row30_col3\" class=\"data row30 col3\" >3.33</td>\n",
+ " <th id=\"T_97ce2_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_97ce2_row30_col0\" class=\"data row30 col0\" >4.91</td>\n",
+ " <td id=\"T_97ce2_row30_col1\" class=\"data row30 col1\" >2.54</td>\n",
+ " <td id=\"T_97ce2_row30_col2\" class=\"data row30 col2\" >9.29</td>\n",
+ " <td id=\"T_97ce2_row30_col3\" class=\"data row30 col3\" >3.33</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_fbfcf_row31_col0\" class=\"data row31 col0\" >50.12</td>\n",
- " <td id=\"T_fbfcf_row31_col1\" class=\"data row31 col1\" >5.87</td>\n",
- " <td id=\"T_fbfcf_row31_col2\" class=\"data row31 col2\" >42.91</td>\n",
- " <td id=\"T_fbfcf_row31_col3\" class=\"data row31 col3\" >6.68</td>\n",
+ " <th id=\"T_97ce2_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_97ce2_row31_col0\" class=\"data row31 col0\" >50.12</td>\n",
+ " <td id=\"T_97ce2_row31_col1\" class=\"data row31 col1\" >5.87</td>\n",
+ " <td id=\"T_97ce2_row31_col2\" class=\"data row31 col2\" >42.91</td>\n",
+ " <td id=\"T_97ce2_row31_col3\" class=\"data row31 col3\" >6.68</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_fbfcf_row32_col0\" class=\"data row32 col0\" >2.92</td>\n",
- " <td id=\"T_fbfcf_row32_col1\" class=\"data row32 col1\" >2.34</td>\n",
- " <td id=\"T_fbfcf_row32_col2\" class=\"data row32 col2\" >5.56</td>\n",
- " <td id=\"T_fbfcf_row32_col3\" class=\"data row32 col3\" >2.77</td>\n",
+ " <th id=\"T_97ce2_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_97ce2_row32_col0\" class=\"data row32 col0\" >2.92</td>\n",
+ " <td id=\"T_97ce2_row32_col1\" class=\"data row32 col1\" >2.34</td>\n",
+ " <td id=\"T_97ce2_row32_col2\" class=\"data row32 col2\" >5.56</td>\n",
+ " <td id=\"T_97ce2_row32_col3\" class=\"data row32 col3\" >2.77</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_fbfcf_row33_col0\" class=\"data row33 col0\" >46.96</td>\n",
- " <td id=\"T_fbfcf_row33_col1\" class=\"data row33 col1\" >5.05</td>\n",
- " <td id=\"T_fbfcf_row33_col2\" class=\"data row33 col2\" >43.41</td>\n",
- " <td id=\"T_fbfcf_row33_col3\" class=\"data row33 col3\" >5.27</td>\n",
+ " <th id=\"T_97ce2_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_97ce2_row33_col0\" class=\"data row33 col0\" >46.96</td>\n",
+ " <td id=\"T_97ce2_row33_col1\" class=\"data row33 col1\" >5.05</td>\n",
+ " <td id=\"T_97ce2_row33_col2\" class=\"data row33 col2\" >43.41</td>\n",
+ " <td id=\"T_97ce2_row33_col3\" class=\"data row33 col3\" >5.27</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_fbfcf_row34_col0\" class=\"data row34 col0\" >45.05</td>\n",
- " <td id=\"T_fbfcf_row34_col1\" class=\"data row34 col1\" >4.55</td>\n",
- " <td id=\"T_fbfcf_row34_col2\" class=\"data row34 col2\" >43.10</td>\n",
- " <td id=\"T_fbfcf_row34_col3\" class=\"data row34 col3\" >5.78</td>\n",
+ " <th id=\"T_97ce2_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_97ce2_row34_col0\" class=\"data row34 col0\" >45.05</td>\n",
+ " <td id=\"T_97ce2_row34_col1\" class=\"data row34 col1\" >4.55</td>\n",
+ " <td id=\"T_97ce2_row34_col2\" class=\"data row34 col2\" >43.10</td>\n",
+ " <td id=\"T_97ce2_row34_col3\" class=\"data row34 col3\" >5.78</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_fbfcf_row35_col0\" class=\"data row35 col0\" >3.85</td>\n",
- " <td id=\"T_fbfcf_row35_col1\" class=\"data row35 col1\" >2.18</td>\n",
- " <td id=\"T_fbfcf_row35_col2\" class=\"data row35 col2\" >7.20</td>\n",
- " <td id=\"T_fbfcf_row35_col3\" class=\"data row35 col3\" >2.99</td>\n",
+ " <th id=\"T_97ce2_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_97ce2_row35_col0\" class=\"data row35 col0\" >3.85</td>\n",
+ " <td id=\"T_97ce2_row35_col1\" class=\"data row35 col1\" >2.18</td>\n",
+ " <td id=\"T_97ce2_row35_col2\" class=\"data row35 col2\" >7.20</td>\n",
+ " <td id=\"T_97ce2_row35_col3\" class=\"data row35 col3\" >2.99</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_fbfcf_row36_col0\" class=\"data row36 col0\" >2.96</td>\n",
- " <td id=\"T_fbfcf_row36_col1\" class=\"data row36 col1\" >2.19</td>\n",
- " <td id=\"T_fbfcf_row36_col2\" class=\"data row36 col2\" >5.30</td>\n",
- " <td id=\"T_fbfcf_row36_col3\" class=\"data row36 col3\" >2.80</td>\n",
+ " <th id=\"T_97ce2_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_97ce2_row36_col0\" class=\"data row36 col0\" >2.96</td>\n",
+ " <td id=\"T_97ce2_row36_col1\" class=\"data row36 col1\" >2.19</td>\n",
+ " <td id=\"T_97ce2_row36_col2\" class=\"data row36 col2\" >5.30</td>\n",
+ " <td id=\"T_97ce2_row36_col3\" class=\"data row36 col3\" >2.80</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_fbfcf_row37_col0\" class=\"data row37 col0\" >46.79</td>\n",
- " <td id=\"T_fbfcf_row37_col1\" class=\"data row37 col1\" >4.83</td>\n",
- " <td id=\"T_fbfcf_row37_col2\" class=\"data row37 col2\" >43.60</td>\n",
- " <td id=\"T_fbfcf_row37_col3\" class=\"data row37 col3\" >5.35</td>\n",
+ " <th id=\"T_97ce2_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_97ce2_row37_col0\" class=\"data row37 col0\" >46.79</td>\n",
+ " <td id=\"T_97ce2_row37_col1\" class=\"data row37 col1\" >4.83</td>\n",
+ " <td id=\"T_97ce2_row37_col2\" class=\"data row37 col2\" >43.60</td>\n",
+ " <td id=\"T_97ce2_row37_col3\" class=\"data row37 col3\" >5.35</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_fbfcf_row38_col0\" class=\"data row38 col0\" >4.09</td>\n",
- " <td id=\"T_fbfcf_row38_col1\" class=\"data row38 col1\" >2.57</td>\n",
- " <td id=\"T_fbfcf_row38_col2\" class=\"data row38 col2\" >8.39</td>\n",
- " <td id=\"T_fbfcf_row38_col3\" class=\"data row38 col3\" >3.33</td>\n",
+ " <th id=\"T_97ce2_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_97ce2_row38_col0\" class=\"data row38 col0\" >4.09</td>\n",
+ " <td id=\"T_97ce2_row38_col1\" class=\"data row38 col1\" >2.57</td>\n",
+ " <td id=\"T_97ce2_row38_col2\" class=\"data row38 col2\" >8.39</td>\n",
+ " <td id=\"T_97ce2_row38_col3\" class=\"data row38 col3\" >3.33</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_fbfcf_row39_col0\" class=\"data row39 col0\" >44.98</td>\n",
- " <td id=\"T_fbfcf_row39_col1\" class=\"data row39 col1\" >5.21</td>\n",
- " <td id=\"T_fbfcf_row39_col2\" class=\"data row39 col2\" >42.09</td>\n",
- " <td id=\"T_fbfcf_row39_col3\" class=\"data row39 col3\" >5.90</td>\n",
+ " <th id=\"T_97ce2_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_97ce2_row39_col0\" class=\"data row39 col0\" >44.98</td>\n",
+ " <td id=\"T_97ce2_row39_col1\" class=\"data row39 col1\" >5.21</td>\n",
+ " <td id=\"T_97ce2_row39_col2\" class=\"data row39 col2\" >42.09</td>\n",
+ " <td id=\"T_97ce2_row39_col3\" class=\"data row39 col3\" >5.90</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_fbfcf_row40_col0\" class=\"data row40 col0\" >2.62</td>\n",
- " <td id=\"T_fbfcf_row40_col1\" class=\"data row40 col1\" >2.15</td>\n",
- " <td id=\"T_fbfcf_row40_col2\" class=\"data row40 col2\" >5.53</td>\n",
- " <td id=\"T_fbfcf_row40_col3\" class=\"data row40 col3\" >3.01</td>\n",
+ " <th id=\"T_97ce2_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_97ce2_row40_col0\" class=\"data row40 col0\" >2.62</td>\n",
+ " <td id=\"T_97ce2_row40_col1\" class=\"data row40 col1\" >2.15</td>\n",
+ " <td id=\"T_97ce2_row40_col2\" class=\"data row40 col2\" >5.53</td>\n",
+ " <td id=\"T_97ce2_row40_col3\" class=\"data row40 col3\" >3.01</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_fbfcf_row41_col0\" class=\"data row41 col0\" >4.28</td>\n",
- " <td id=\"T_fbfcf_row41_col1\" class=\"data row41 col1\" >2.65</td>\n",
- " <td id=\"T_fbfcf_row41_col2\" class=\"data row41 col2\" >7.53</td>\n",
- " <td id=\"T_fbfcf_row41_col3\" class=\"data row41 col3\" >3.31</td>\n",
+ " <th id=\"T_97ce2_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_97ce2_row41_col0\" class=\"data row41 col0\" >4.28</td>\n",
+ " <td id=\"T_97ce2_row41_col1\" class=\"data row41 col1\" >2.65</td>\n",
+ " <td id=\"T_97ce2_row41_col2\" class=\"data row41 col2\" >7.53</td>\n",
+ " <td id=\"T_97ce2_row41_col3\" class=\"data row41 col3\" >3.31</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_fbfcf_row42_col0\" class=\"data row42 col0\" >47.73</td>\n",
- " <td id=\"T_fbfcf_row42_col1\" class=\"data row42 col1\" >4.88</td>\n",
- " <td id=\"T_fbfcf_row42_col2\" class=\"data row42 col2\" >43.80</td>\n",
- " <td id=\"T_fbfcf_row42_col3\" class=\"data row42 col3\" >5.43</td>\n",
+ " <th id=\"T_97ce2_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_97ce2_row42_col0\" class=\"data row42 col0\" >47.73</td>\n",
+ " <td id=\"T_97ce2_row42_col1\" class=\"data row42 col1\" >4.88</td>\n",
+ " <td id=\"T_97ce2_row42_col2\" class=\"data row42 col2\" >43.80</td>\n",
+ " <td id=\"T_97ce2_row42_col3\" class=\"data row42 col3\" >5.43</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_fbfcf_row43_col0\" class=\"data row43 col0\" >44.17</td>\n",
- " <td id=\"T_fbfcf_row43_col1\" class=\"data row43 col1\" >4.65</td>\n",
- " <td id=\"T_fbfcf_row43_col2\" class=\"data row43 col2\" >42.52</td>\n",
- " <td id=\"T_fbfcf_row43_col3\" class=\"data row43 col3\" >5.99</td>\n",
+ " <th id=\"T_97ce2_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_97ce2_row43_col0\" class=\"data row43 col0\" >44.17</td>\n",
+ " <td id=\"T_97ce2_row43_col1\" class=\"data row43 col1\" >4.65</td>\n",
+ " <td id=\"T_97ce2_row43_col2\" class=\"data row43 col2\" >42.52</td>\n",
+ " <td id=\"T_97ce2_row43_col3\" class=\"data row43 col3\" >5.99</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_fbfcf_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_fbfcf_row44_col0\" class=\"data row44 col0\" >27.31</td>\n",
- " <td id=\"T_fbfcf_row44_col1\" class=\"data row44 col1\" >4.49</td>\n",
- " <td id=\"T_fbfcf_row44_col2\" class=\"data row44 col2\" >28.64</td>\n",
- " <td id=\"T_fbfcf_row44_col3\" class=\"data row44 col3\" >4.32</td>\n",
+ " <th id=\"T_97ce2_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_97ce2_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_97ce2_row44_col0\" class=\"data row44 col0\" >27.31</td>\n",
+ " <td id=\"T_97ce2_row44_col1\" class=\"data row44 col1\" >4.49</td>\n",
+ " <td id=\"T_97ce2_row44_col2\" class=\"data row44 col2\" >28.64</td>\n",
+ " <td id=\"T_97ce2_row44_col3\" class=\"data row44 col3\" >4.32</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_fbfcf_row45_col0\" class=\"data row45 col0\" >34.49</td>\n",
- " <td id=\"T_fbfcf_row45_col1\" class=\"data row45 col1\" >4.17</td>\n",
- " <td id=\"T_fbfcf_row45_col2\" class=\"data row45 col2\" >33.34</td>\n",
- " <td id=\"T_fbfcf_row45_col3\" class=\"data row45 col3\" >4.46</td>\n",
+ " <th id=\"T_97ce2_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_97ce2_row45_col0\" class=\"data row45 col0\" >34.49</td>\n",
+ " <td id=\"T_97ce2_row45_col1\" class=\"data row45 col1\" >4.17</td>\n",
+ " <td id=\"T_97ce2_row45_col2\" class=\"data row45 col2\" >33.34</td>\n",
+ " <td id=\"T_97ce2_row45_col3\" class=\"data row45 col3\" >4.46</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_fbfcf_row46_col0\" class=\"data row46 col0\" >35.75</td>\n",
- " <td id=\"T_fbfcf_row46_col1\" class=\"data row46 col1\" >4.02</td>\n",
- " <td id=\"T_fbfcf_row46_col2\" class=\"data row46 col2\" >34.74</td>\n",
- " <td id=\"T_fbfcf_row46_col3\" class=\"data row46 col3\" >4.82</td>\n",
+ " <th id=\"T_97ce2_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_97ce2_row46_col0\" class=\"data row46 col0\" >35.75</td>\n",
+ " <td id=\"T_97ce2_row46_col1\" class=\"data row46 col1\" >4.02</td>\n",
+ " <td id=\"T_97ce2_row46_col2\" class=\"data row46 col2\" >34.74</td>\n",
+ " <td id=\"T_97ce2_row46_col3\" class=\"data row46 col3\" >4.82</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_fbfcf_row47_col0\" class=\"data row47 col0\" >1.26</td>\n",
- " <td id=\"T_fbfcf_row47_col1\" class=\"data row47 col1\" >1.48</td>\n",
- " <td id=\"T_fbfcf_row47_col2\" class=\"data row47 col2\" >2.67</td>\n",
- " <td id=\"T_fbfcf_row47_col3\" class=\"data row47 col3\" >2.19</td>\n",
+ " <th id=\"T_97ce2_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_97ce2_row47_col0\" class=\"data row47 col0\" >1.26</td>\n",
+ " <td id=\"T_97ce2_row47_col1\" class=\"data row47 col1\" >1.48</td>\n",
+ " <td id=\"T_97ce2_row47_col2\" class=\"data row47 col2\" >2.67</td>\n",
+ " <td id=\"T_97ce2_row47_col3\" class=\"data row47 col3\" >2.19</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_fbfcf_row48_col0\" class=\"data row48 col0\" >27.69</td>\n",
- " <td id=\"T_fbfcf_row48_col1\" class=\"data row48 col1\" >4.53</td>\n",
- " <td id=\"T_fbfcf_row48_col2\" class=\"data row48 col2\" >27.70</td>\n",
- " <td id=\"T_fbfcf_row48_col3\" class=\"data row48 col3\" >4.37</td>\n",
+ " <th id=\"T_97ce2_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_97ce2_row48_col0\" class=\"data row48 col0\" >27.69</td>\n",
+ " <td id=\"T_97ce2_row48_col1\" class=\"data row48 col1\" >4.53</td>\n",
+ " <td id=\"T_97ce2_row48_col2\" class=\"data row48 col2\" >27.70</td>\n",
+ " <td id=\"T_97ce2_row48_col3\" class=\"data row48 col3\" >4.37</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_fbfcf_row49_col0\" class=\"data row49 col0\" >33.69</td>\n",
- " <td id=\"T_fbfcf_row49_col1\" class=\"data row49 col1\" >3.92</td>\n",
- " <td id=\"T_fbfcf_row49_col2\" class=\"data row49 col2\" >33.38</td>\n",
- " <td id=\"T_fbfcf_row49_col3\" class=\"data row49 col3\" >4.69</td>\n",
+ " <th id=\"T_97ce2_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_97ce2_row49_col0\" class=\"data row49 col0\" >33.69</td>\n",
+ " <td id=\"T_97ce2_row49_col1\" class=\"data row49 col1\" >3.92</td>\n",
+ " <td id=\"T_97ce2_row49_col2\" class=\"data row49 col2\" >33.38</td>\n",
+ " <td id=\"T_97ce2_row49_col3\" class=\"data row49 col3\" >4.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_fbfcf_row50_col0\" class=\"data row50 col0\" >1.73</td>\n",
- " <td id=\"T_fbfcf_row50_col1\" class=\"data row50 col1\" >1.81</td>\n",
- " <td id=\"T_fbfcf_row50_col2\" class=\"data row50 col2\" >4.00</td>\n",
- " <td id=\"T_fbfcf_row50_col3\" class=\"data row50 col3\" >2.80</td>\n",
+ " <th id=\"T_97ce2_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_97ce2_row50_col0\" class=\"data row50 col0\" >1.73</td>\n",
+ " <td id=\"T_97ce2_row50_col1\" class=\"data row50 col1\" >1.81</td>\n",
+ " <td id=\"T_97ce2_row50_col2\" class=\"data row50 col2\" >4.00</td>\n",
+ " <td id=\"T_97ce2_row50_col3\" class=\"data row50 col3\" >2.80</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_fbfcf_row51_col0\" class=\"data row51 col0\" >35.75</td>\n",
- " <td id=\"T_fbfcf_row51_col1\" class=\"data row51 col1\" >4.51</td>\n",
- " <td id=\"T_fbfcf_row51_col2\" class=\"data row51 col2\" >34.34</td>\n",
- " <td id=\"T_fbfcf_row51_col3\" class=\"data row51 col3\" >5.35</td>\n",
+ " <th id=\"T_97ce2_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_97ce2_row51_col0\" class=\"data row51 col0\" >35.75</td>\n",
+ " <td id=\"T_97ce2_row51_col1\" class=\"data row51 col1\" >4.51</td>\n",
+ " <td id=\"T_97ce2_row51_col2\" class=\"data row51 col2\" >34.34</td>\n",
+ " <td id=\"T_97ce2_row51_col3\" class=\"data row51 col3\" >5.35</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_fbfcf_row52_col0\" class=\"data row52 col0\" >27.75</td>\n",
- " <td id=\"T_fbfcf_row52_col1\" class=\"data row52 col1\" >4.70</td>\n",
- " <td id=\"T_fbfcf_row52_col2\" class=\"data row52 col2\" >27.36</td>\n",
- " <td id=\"T_fbfcf_row52_col3\" class=\"data row52 col3\" >4.69</td>\n",
+ " <th id=\"T_97ce2_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_97ce2_row52_col0\" class=\"data row52 col0\" >27.75</td>\n",
+ " <td id=\"T_97ce2_row52_col1\" class=\"data row52 col1\" >4.70</td>\n",
+ " <td id=\"T_97ce2_row52_col2\" class=\"data row52 col2\" >27.36</td>\n",
+ " <td id=\"T_97ce2_row52_col3\" class=\"data row52 col3\" >4.69</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_fbfcf_row53_col0\" class=\"data row53 col0\" >2.21</td>\n",
- " <td id=\"T_fbfcf_row53_col1\" class=\"data row53 col1\" >2.13</td>\n",
- " <td id=\"T_fbfcf_row53_col2\" class=\"data row53 col2\" >3.83</td>\n",
- " <td id=\"T_fbfcf_row53_col3\" class=\"data row53 col3\" >2.99</td>\n",
+ " <th id=\"T_97ce2_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_97ce2_row53_col0\" class=\"data row53 col0\" >2.21</td>\n",
+ " <td id=\"T_97ce2_row53_col1\" class=\"data row53 col1\" >2.13</td>\n",
+ " <td id=\"T_97ce2_row53_col2\" class=\"data row53 col2\" >3.83</td>\n",
+ " <td id=\"T_97ce2_row53_col3\" class=\"data row53 col3\" >2.99</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_fbfcf_row54_col0\" class=\"data row54 col0\" >33.56</td>\n",
- " <td id=\"T_fbfcf_row54_col1\" class=\"data row54 col1\" >5.06</td>\n",
- " <td id=\"T_fbfcf_row54_col2\" class=\"data row54 col2\" >34.50</td>\n",
- " <td id=\"T_fbfcf_row54_col3\" class=\"data row54 col3\" >4.55</td>\n",
+ " <th id=\"T_97ce2_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_97ce2_row54_col0\" class=\"data row54 col0\" >33.56</td>\n",
+ " <td id=\"T_97ce2_row54_col1\" class=\"data row54 col1\" >5.06</td>\n",
+ " <td id=\"T_97ce2_row54_col2\" class=\"data row54 col2\" >34.50</td>\n",
+ " <td id=\"T_97ce2_row54_col3\" class=\"data row54 col3\" >4.55</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_fbfcf_row55_col0\" class=\"data row55 col0\" >35.30</td>\n",
- " <td id=\"T_fbfcf_row55_col1\" class=\"data row55 col1\" >4.25</td>\n",
- " <td id=\"T_fbfcf_row55_col2\" class=\"data row55 col2\" >33.70</td>\n",
- " <td id=\"T_fbfcf_row55_col3\" class=\"data row55 col3\" >4.95</td>\n",
+ " <th id=\"T_97ce2_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_97ce2_row55_col0\" class=\"data row55 col0\" >35.30</td>\n",
+ " <td id=\"T_97ce2_row55_col1\" class=\"data row55 col1\" >4.25</td>\n",
+ " <td id=\"T_97ce2_row55_col2\" class=\"data row55 col2\" >33.70</td>\n",
+ " <td id=\"T_97ce2_row55_col3\" class=\"data row55 col3\" >4.95</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_fbfcf_row56_col0\" class=\"data row56 col0\" >0.93</td>\n",
- " <td id=\"T_fbfcf_row56_col1\" class=\"data row56 col1\" >1.36</td>\n",
- " <td id=\"T_fbfcf_row56_col2\" class=\"data row56 col2\" >2.34</td>\n",
- " <td id=\"T_fbfcf_row56_col3\" class=\"data row56 col3\" >2.28</td>\n",
+ " <th id=\"T_97ce2_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_97ce2_row56_col0\" class=\"data row56 col0\" >0.93</td>\n",
+ " <td id=\"T_97ce2_row56_col1\" class=\"data row56 col1\" >1.36</td>\n",
+ " <td id=\"T_97ce2_row56_col2\" class=\"data row56 col2\" >2.34</td>\n",
+ " <td id=\"T_97ce2_row56_col3\" class=\"data row56 col3\" >2.28</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_fbfcf_row57_col0\" class=\"data row57 col0\" >33.27</td>\n",
- " <td id=\"T_fbfcf_row57_col1\" class=\"data row57 col1\" >4.68</td>\n",
- " <td id=\"T_fbfcf_row57_col2\" class=\"data row57 col2\" >31.93</td>\n",
- " <td id=\"T_fbfcf_row57_col3\" class=\"data row57 col3\" >4.85</td>\n",
+ " <th id=\"T_97ce2_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_97ce2_row57_col0\" class=\"data row57 col0\" >33.27</td>\n",
+ " <td id=\"T_97ce2_row57_col1\" class=\"data row57 col1\" >4.68</td>\n",
+ " <td id=\"T_97ce2_row57_col2\" class=\"data row57 col2\" >31.93</td>\n",
+ " <td id=\"T_97ce2_row57_col3\" class=\"data row57 col3\" >4.85</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_fbfcf_row58_col0\" class=\"data row58 col0\" >30.45</td>\n",
- " <td id=\"T_fbfcf_row58_col1\" class=\"data row58 col1\" >4.89</td>\n",
- " <td id=\"T_fbfcf_row58_col2\" class=\"data row58 col2\" >32.06</td>\n",
- " <td id=\"T_fbfcf_row58_col3\" class=\"data row58 col3\" >4.45</td>\n",
+ " <th id=\"T_97ce2_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_97ce2_row58_col0\" class=\"data row58 col0\" >30.45</td>\n",
+ " <td id=\"T_97ce2_row58_col1\" class=\"data row58 col1\" >4.89</td>\n",
+ " <td id=\"T_97ce2_row58_col2\" class=\"data row58 col2\" >32.06</td>\n",
+ " <td id=\"T_97ce2_row58_col3\" class=\"data row58 col3\" >4.45</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_fbfcf_row59_col0\" class=\"data row59 col0\" >34.15</td>\n",
- " <td id=\"T_fbfcf_row59_col1\" class=\"data row59 col1\" >4.50</td>\n",
- " <td id=\"T_fbfcf_row59_col2\" class=\"data row59 col2\" >32.99</td>\n",
- " <td id=\"T_fbfcf_row59_col3\" class=\"data row59 col3\" >5.06</td>\n",
+ " <th id=\"T_97ce2_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_97ce2_row59_col0\" class=\"data row59 col0\" >34.15</td>\n",
+ " <td id=\"T_97ce2_row59_col1\" class=\"data row59 col1\" >4.50</td>\n",
+ " <td id=\"T_97ce2_row59_col2\" class=\"data row59 col2\" >32.99</td>\n",
+ " <td id=\"T_97ce2_row59_col3\" class=\"data row59 col3\" >5.06</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_fbfcf_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_fbfcf_row60_col0\" class=\"data row60 col0\" >19.65</td>\n",
- " <td id=\"T_fbfcf_row60_col1\" class=\"data row60 col1\" >4.16</td>\n",
- " <td id=\"T_fbfcf_row60_col2\" class=\"data row60 col2\" >20.66</td>\n",
- " <td id=\"T_fbfcf_row60_col3\" class=\"data row60 col3\" >4.17</td>\n",
+ " <th id=\"T_97ce2_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_97ce2_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_97ce2_row60_col0\" class=\"data row60 col0\" >19.65</td>\n",
+ " <td id=\"T_97ce2_row60_col1\" class=\"data row60 col1\" >4.16</td>\n",
+ " <td id=\"T_97ce2_row60_col2\" class=\"data row60 col2\" >20.66</td>\n",
+ " <td id=\"T_97ce2_row60_col3\" class=\"data row60 col3\" >4.17</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_fbfcf_row61_col0\" class=\"data row61 col0\" >26.73</td>\n",
- " <td id=\"T_fbfcf_row61_col1\" class=\"data row61 col1\" >4.86</td>\n",
- " <td id=\"T_fbfcf_row61_col2\" class=\"data row61 col2\" >25.36</td>\n",
- " <td id=\"T_fbfcf_row61_col3\" class=\"data row61 col3\" >4.92</td>\n",
+ " <th id=\"T_97ce2_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_97ce2_row61_col0\" class=\"data row61 col0\" >26.73</td>\n",
+ " <td id=\"T_97ce2_row61_col1\" class=\"data row61 col1\" >4.86</td>\n",
+ " <td id=\"T_97ce2_row61_col2\" class=\"data row61 col2\" >25.36</td>\n",
+ " <td id=\"T_97ce2_row61_col3\" class=\"data row61 col3\" >4.92</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_fbfcf_row62_col0\" class=\"data row62 col0\" >25.18</td>\n",
- " <td id=\"T_fbfcf_row62_col1\" class=\"data row62 col1\" >4.37</td>\n",
- " <td id=\"T_fbfcf_row62_col2\" class=\"data row62 col2\" >26.14</td>\n",
- " <td id=\"T_fbfcf_row62_col3\" class=\"data row62 col3\" >4.32</td>\n",
+ " <th id=\"T_97ce2_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_97ce2_row62_col0\" class=\"data row62 col0\" >25.18</td>\n",
+ " <td id=\"T_97ce2_row62_col1\" class=\"data row62 col1\" >4.37</td>\n",
+ " <td id=\"T_97ce2_row62_col2\" class=\"data row62 col2\" >26.14</td>\n",
+ " <td id=\"T_97ce2_row62_col3\" class=\"data row62 col3\" >4.32</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_fbfcf_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_fbfcf_row63_col0\" class=\"data row63 col0\" >27.23</td>\n",
- " <td id=\"T_fbfcf_row63_col1\" class=\"data row63 col1\" >5.17</td>\n",
- " <td id=\"T_fbfcf_row63_col2\" class=\"data row63 col2\" >27.09</td>\n",
- " <td id=\"T_fbfcf_row63_col3\" class=\"data row63 col3\" >4.49</td>\n",
+ " <th id=\"T_97ce2_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_97ce2_row63_col0\" class=\"data row63 col0\" >27.23</td>\n",
+ " <td id=\"T_97ce2_row63_col1\" class=\"data row63 col1\" >5.17</td>\n",
+ " <td id=\"T_97ce2_row63_col2\" class=\"data row63 col2\" >27.09</td>\n",
+ " <td id=\"T_97ce2_row63_col3\" class=\"data row63 col3\" >4.49</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a03955d0>"
+ "<pandas.io.formats.style.Styler at 0x76062fb30810>"
]
},
"metadata": {},
@@ -9904,220 +9898,220 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_c7d59 td {\n",
+ "#T_9bab3 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_c7d59 th {\n",
+ "#T_9bab3 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_c7d59_row0_col0, #T_c7d59_row0_col2, #T_c7d59_row15_col0, #T_c7d59_row15_col2 {\n",
+ "#T_9bab3_row0_col0, #T_9bab3_row0_col2, #T_9bab3_row15_col0, #T_9bab3_row15_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row1_col0, #T_c7d59_row3_col0, #T_c7d59_row12_col2 {\n",
+ "#T_9bab3_row1_col0, #T_9bab3_row3_col0, #T_9bab3_row12_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row1_col2 {\n",
+ "#T_9bab3_row1_col2 {\n",
" background-color: #88f988;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row2_col0, #T_c7d59_row8_col0 {\n",
+ "#T_9bab3_row2_col0, #T_9bab3_row8_col0 {\n",
" background-color: #d4f4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row2_col2 {\n",
+ "#T_9bab3_row2_col2 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row3_col2, #T_c7d59_row4_col2, #T_c7d59_row14_col2 {\n",
+ "#T_9bab3_row3_col2, #T_9bab3_row4_col2, #T_9bab3_row14_col2 {\n",
" background-color: #a4f8a4;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row4_col0, #T_c7d59_row10_col0, #T_c7d59_row14_col0 {\n",
+ "#T_9bab3_row4_col0, #T_9bab3_row10_col0, #T_9bab3_row14_col0 {\n",
" background-color: #bdf6bd;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row5_col0, #T_c7d59_row6_col0, #T_c7d59_row13_col0 {\n",
+ "#T_9bab3_row5_col0, #T_9bab3_row6_col0, #T_9bab3_row13_col0 {\n",
" background-color: #8ff98f;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row5_col2 {\n",
+ "#T_9bab3_row5_col2 {\n",
" background-color: #7afa7a;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row6_col2 {\n",
+ "#T_9bab3_row6_col2 {\n",
" background-color: #6cfb6c;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row7_col0 {\n",
+ "#T_9bab3_row7_col0 {\n",
" background-color: #78fb78;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row7_col2 {\n",
+ "#T_9bab3_row7_col2 {\n",
" background-color: #96f996;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row8_col2 {\n",
+ "#T_9bab3_row8_col2 {\n",
" background-color: #cff5cf;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row9_col0, #T_c7d59_row11_col0 {\n",
+ "#T_9bab3_row9_col0, #T_9bab3_row11_col0 {\n",
" background-color: #a7f7a7;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row9_col2, #T_c7d59_row10_col2 {\n",
+ "#T_9bab3_row9_col2, #T_9bab3_row10_col2 {\n",
" background-color: #5efc5e;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row11_col2, #T_c7d59_row13_col2 {\n",
+ "#T_9bab3_row11_col2, #T_9bab3_row13_col2 {\n",
" background-color: #50fd50;\n",
" color: #000000;\n",
"}\n",
- "#T_c7d59_row12_col0 {\n",
+ "#T_9bab3_row12_col0 {\n",
" background-color: #62fc62;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_c7d59\">\n",
+ "<table id=\"T_9bab3\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_c7d59_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " <th id=\"T_9bab3_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_c7d59_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
- " <th id=\"T_c7d59_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_9bab3_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_9bab3_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_c7d59_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
- " <th id=\"T_c7d59_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_c7d59_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
- " <th id=\"T_c7d59_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_9bab3_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_9bab3_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_9bab3_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_9bab3_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_c7d59_row0_col0\" class=\"data row0 col0\" >98.78</td>\n",
- " <td id=\"T_c7d59_row0_col1\" class=\"data row0 col1\" >1.26</td>\n",
- " <td id=\"T_c7d59_row0_col2\" class=\"data row0 col2\" >99.25</td>\n",
- " <td id=\"T_c7d59_row0_col3\" class=\"data row0 col3\" >0.88</td>\n",
+ " <th id=\"T_9bab3_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_9bab3_row0_col0\" class=\"data row0 col0\" >98.78</td>\n",
+ " <td id=\"T_9bab3_row0_col1\" class=\"data row0 col1\" >1.26</td>\n",
+ " <td id=\"T_9bab3_row0_col2\" class=\"data row0 col2\" >99.25</td>\n",
+ " <td id=\"T_9bab3_row0_col3\" class=\"data row0 col3\" >0.88</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_c7d59_row1_col0\" class=\"data row1 col0\" >98.88</td>\n",
- " <td id=\"T_c7d59_row1_col1\" class=\"data row1 col1\" >1.10</td>\n",
- " <td id=\"T_c7d59_row1_col2\" class=\"data row1 col2\" >99.34</td>\n",
- " <td id=\"T_c7d59_row1_col3\" class=\"data row1 col3\" >0.89</td>\n",
+ " <th id=\"T_9bab3_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_9bab3_row1_col0\" class=\"data row1 col0\" >98.88</td>\n",
+ " <td id=\"T_9bab3_row1_col1\" class=\"data row1 col1\" >1.10</td>\n",
+ " <td id=\"T_9bab3_row1_col2\" class=\"data row1 col2\" >99.34</td>\n",
+ " <td id=\"T_9bab3_row1_col3\" class=\"data row1 col3\" >0.89</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_c7d59_row2_col0\" class=\"data row2 col0\" >98.79</td>\n",
- " <td id=\"T_c7d59_row2_col1\" class=\"data row2 col1\" >1.23</td>\n",
- " <td id=\"T_c7d59_row2_col2\" class=\"data row2 col2\" >99.30</td>\n",
- " <td id=\"T_c7d59_row2_col3\" class=\"data row2 col3\" >1.04</td>\n",
+ " <th id=\"T_9bab3_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_9bab3_row2_col0\" class=\"data row2 col0\" >98.79</td>\n",
+ " <td id=\"T_9bab3_row2_col1\" class=\"data row2 col1\" >1.23</td>\n",
+ " <td id=\"T_9bab3_row2_col2\" class=\"data row2 col2\" >99.30</td>\n",
+ " <td id=\"T_9bab3_row2_col3\" class=\"data row2 col3\" >1.04</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_c7d59_row3_col0\" class=\"data row3 col0\" >98.88</td>\n",
- " <td id=\"T_c7d59_row3_col1\" class=\"data row3 col1\" >1.10</td>\n",
- " <td id=\"T_c7d59_row3_col2\" class=\"data row3 col2\" >99.31</td>\n",
- " <td id=\"T_c7d59_row3_col3\" class=\"data row3 col3\" >0.97</td>\n",
+ " <th id=\"T_9bab3_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_9bab3_row3_col0\" class=\"data row3 col0\" >98.88</td>\n",
+ " <td id=\"T_9bab3_row3_col1\" class=\"data row3 col1\" >1.10</td>\n",
+ " <td id=\"T_9bab3_row3_col2\" class=\"data row3 col2\" >99.31</td>\n",
+ " <td id=\"T_9bab3_row3_col3\" class=\"data row3 col3\" >0.97</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_c7d59_row4_col0\" class=\"data row4 col0\" >98.80</td>\n",
- " <td id=\"T_c7d59_row4_col1\" class=\"data row4 col1\" >1.22</td>\n",
- " <td id=\"T_c7d59_row4_col2\" class=\"data row4 col2\" >99.31</td>\n",
- " <td id=\"T_c7d59_row4_col3\" class=\"data row4 col3\" >0.97</td>\n",
+ " <th id=\"T_9bab3_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_9bab3_row4_col0\" class=\"data row4 col0\" >98.80</td>\n",
+ " <td id=\"T_9bab3_row4_col1\" class=\"data row4 col1\" >1.22</td>\n",
+ " <td id=\"T_9bab3_row4_col2\" class=\"data row4 col2\" >99.31</td>\n",
+ " <td id=\"T_9bab3_row4_col3\" class=\"data row4 col3\" >0.97</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_c7d59_row5_col0\" class=\"data row5 col0\" >98.83</td>\n",
- " <td id=\"T_c7d59_row5_col1\" class=\"data row5 col1\" >1.24</td>\n",
- " <td id=\"T_c7d59_row5_col2\" class=\"data row5 col2\" >99.35</td>\n",
- " <td id=\"T_c7d59_row5_col3\" class=\"data row5 col3\" >0.93</td>\n",
+ " <th id=\"T_9bab3_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_9bab3_row5_col0\" class=\"data row5 col0\" >98.83</td>\n",
+ " <td id=\"T_9bab3_row5_col1\" class=\"data row5 col1\" >1.24</td>\n",
+ " <td id=\"T_9bab3_row5_col2\" class=\"data row5 col2\" >99.35</td>\n",
+ " <td id=\"T_9bab3_row5_col3\" class=\"data row5 col3\" >0.93</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_c7d59_row6_col0\" class=\"data row6 col0\" >98.83</td>\n",
- " <td id=\"T_c7d59_row6_col1\" class=\"data row6 col1\" >1.24</td>\n",
- " <td id=\"T_c7d59_row6_col2\" class=\"data row6 col2\" >99.36</td>\n",
- " <td id=\"T_c7d59_row6_col3\" class=\"data row6 col3\" >0.93</td>\n",
+ " <th id=\"T_9bab3_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_9bab3_row6_col0\" class=\"data row6 col0\" >98.83</td>\n",
+ " <td id=\"T_9bab3_row6_col1\" class=\"data row6 col1\" >1.24</td>\n",
+ " <td id=\"T_9bab3_row6_col2\" class=\"data row6 col2\" >99.36</td>\n",
+ " <td id=\"T_9bab3_row6_col3\" class=\"data row6 col3\" >0.93</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_c7d59_row7_col0\" class=\"data row7 col0\" >98.84</td>\n",
- " <td id=\"T_c7d59_row7_col1\" class=\"data row7 col1\" >1.22</td>\n",
- " <td id=\"T_c7d59_row7_col2\" class=\"data row7 col2\" >99.33</td>\n",
- " <td id=\"T_c7d59_row7_col3\" class=\"data row7 col3\" >0.99</td>\n",
+ " <th id=\"T_9bab3_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_9bab3_row7_col0\" class=\"data row7 col0\" >98.84</td>\n",
+ " <td id=\"T_9bab3_row7_col1\" class=\"data row7 col1\" >1.22</td>\n",
+ " <td id=\"T_9bab3_row7_col2\" class=\"data row7 col2\" >99.33</td>\n",
+ " <td id=\"T_9bab3_row7_col3\" class=\"data row7 col3\" >0.99</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_c7d59_row8_col0\" class=\"data row8 col0\" >98.79</td>\n",
- " <td id=\"T_c7d59_row8_col1\" class=\"data row8 col1\" >1.20</td>\n",
- " <td id=\"T_c7d59_row8_col2\" class=\"data row8 col2\" >99.28</td>\n",
- " <td id=\"T_c7d59_row8_col3\" class=\"data row8 col3\" >1.00</td>\n",
+ " <th id=\"T_9bab3_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_9bab3_row8_col0\" class=\"data row8 col0\" >98.79</td>\n",
+ " <td id=\"T_9bab3_row8_col1\" class=\"data row8 col1\" >1.20</td>\n",
+ " <td id=\"T_9bab3_row8_col2\" class=\"data row8 col2\" >99.28</td>\n",
+ " <td id=\"T_9bab3_row8_col3\" class=\"data row8 col3\" >1.00</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_c7d59_row9_col0\" class=\"data row9 col0\" >98.81</td>\n",
- " <td id=\"T_c7d59_row9_col1\" class=\"data row9 col1\" >1.14</td>\n",
- " <td id=\"T_c7d59_row9_col2\" class=\"data row9 col2\" >99.38</td>\n",
- " <td id=\"T_c7d59_row9_col3\" class=\"data row9 col3\" >0.84</td>\n",
+ " <th id=\"T_9bab3_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_9bab3_row9_col0\" class=\"data row9 col0\" >98.81</td>\n",
+ " <td id=\"T_9bab3_row9_col1\" class=\"data row9 col1\" >1.14</td>\n",
+ " <td id=\"T_9bab3_row9_col2\" class=\"data row9 col2\" >99.38</td>\n",
+ " <td id=\"T_9bab3_row9_col3\" class=\"data row9 col3\" >0.84</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_c7d59_row10_col0\" class=\"data row10 col0\" >98.80</td>\n",
- " <td id=\"T_c7d59_row10_col1\" class=\"data row10 col1\" >1.24</td>\n",
- " <td id=\"T_c7d59_row10_col2\" class=\"data row10 col2\" >99.38</td>\n",
- " <td id=\"T_c7d59_row10_col3\" class=\"data row10 col3\" >0.86</td>\n",
+ " <th id=\"T_9bab3_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_9bab3_row10_col0\" class=\"data row10 col0\" >98.80</td>\n",
+ " <td id=\"T_9bab3_row10_col1\" class=\"data row10 col1\" >1.24</td>\n",
+ " <td id=\"T_9bab3_row10_col2\" class=\"data row10 col2\" >99.38</td>\n",
+ " <td id=\"T_9bab3_row10_col3\" class=\"data row10 col3\" >0.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_c7d59_row11_col0\" class=\"data row11 col0\" >98.81</td>\n",
- " <td id=\"T_c7d59_row11_col1\" class=\"data row11 col1\" >1.22</td>\n",
- " <td id=\"T_c7d59_row11_col2\" class=\"data row11 col2\" >99.39</td>\n",
- " <td id=\"T_c7d59_row11_col3\" class=\"data row11 col3\" >0.87</td>\n",
+ " <th id=\"T_9bab3_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_9bab3_row11_col0\" class=\"data row11 col0\" >98.81</td>\n",
+ " <td id=\"T_9bab3_row11_col1\" class=\"data row11 col1\" >1.22</td>\n",
+ " <td id=\"T_9bab3_row11_col2\" class=\"data row11 col2\" >99.39</td>\n",
+ " <td id=\"T_9bab3_row11_col3\" class=\"data row11 col3\" >0.87</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_c7d59_row12_col0\" class=\"data row12 col0\" >98.85</td>\n",
- " <td id=\"T_c7d59_row12_col1\" class=\"data row12 col1\" >1.07</td>\n",
- " <td id=\"T_c7d59_row12_col2\" class=\"data row12 col2\" >99.41</td>\n",
- " <td id=\"T_c7d59_row12_col3\" class=\"data row12 col3\" >0.86</td>\n",
+ " <th id=\"T_9bab3_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_9bab3_row12_col0\" class=\"data row12 col0\" >98.85</td>\n",
+ " <td id=\"T_9bab3_row12_col1\" class=\"data row12 col1\" >1.07</td>\n",
+ " <td id=\"T_9bab3_row12_col2\" class=\"data row12 col2\" >99.41</td>\n",
+ " <td id=\"T_9bab3_row12_col3\" class=\"data row12 col3\" >0.86</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_c7d59_row13_col0\" class=\"data row13 col0\" >98.83</td>\n",
- " <td id=\"T_c7d59_row13_col1\" class=\"data row13 col1\" >1.18</td>\n",
- " <td id=\"T_c7d59_row13_col2\" class=\"data row13 col2\" >99.39</td>\n",
- " <td id=\"T_c7d59_row13_col3\" class=\"data row13 col3\" >0.91</td>\n",
+ " <th id=\"T_9bab3_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_9bab3_row13_col0\" class=\"data row13 col0\" >98.83</td>\n",
+ " <td id=\"T_9bab3_row13_col1\" class=\"data row13 col1\" >1.18</td>\n",
+ " <td id=\"T_9bab3_row13_col2\" class=\"data row13 col2\" >99.39</td>\n",
+ " <td id=\"T_9bab3_row13_col3\" class=\"data row13 col3\" >0.91</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_c7d59_row14_col0\" class=\"data row14 col0\" >98.80</td>\n",
- " <td id=\"T_c7d59_row14_col1\" class=\"data row14 col1\" >1.20</td>\n",
- " <td id=\"T_c7d59_row14_col2\" class=\"data row14 col2\" >99.31</td>\n",
- " <td id=\"T_c7d59_row14_col3\" class=\"data row14 col3\" >0.92</td>\n",
+ " <th id=\"T_9bab3_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_9bab3_row14_col0\" class=\"data row14 col0\" >98.80</td>\n",
+ " <td id=\"T_9bab3_row14_col1\" class=\"data row14 col1\" >1.20</td>\n",
+ " <td id=\"T_9bab3_row14_col2\" class=\"data row14 col2\" >99.31</td>\n",
+ " <td id=\"T_9bab3_row14_col3\" class=\"data row14 col3\" >0.92</td>\n",
" </tr>\n",
" <tr>\n",
- " <th id=\"T_c7d59_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_c7d59_row15_col0\" class=\"data row15 col0\" >98.78</td>\n",
- " <td id=\"T_c7d59_row15_col1\" class=\"data row15 col1\" >1.26</td>\n",
- " <td id=\"T_c7d59_row15_col2\" class=\"data row15 col2\" >99.25</td>\n",
- " <td id=\"T_c7d59_row15_col3\" class=\"data row15 col3\" >0.88</td>\n",
+ " <th id=\"T_9bab3_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_9bab3_row15_col0\" class=\"data row15 col0\" >98.78</td>\n",
+ " <td id=\"T_9bab3_row15_col1\" class=\"data row15 col1\" >1.26</td>\n",
+ " <td id=\"T_9bab3_row15_col2\" class=\"data row15 col2\" >99.25</td>\n",
+ " <td id=\"T_9bab3_row15_col3\" class=\"data row15 col3\" >0.88</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0e88790>"
+ "<pandas.io.formats.style.Styler at 0x760631142050>"
]
},
"metadata": {},
@@ -10130,978 +10124,978 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_ca453 td {\n",
+ "#T_fbf73 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ca453 th {\n",
+ "#T_fbf73 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_ca453_row0_col0, #T_ca453_row0_col2, #T_ca453_row1_col2, #T_ca453_row2_col2, #T_ca453_row3_col0, #T_ca453_row3_col2, #T_ca453_row5_col2, #T_ca453_row6_col2, #T_ca453_row7_col2, #T_ca453_row8_col2, #T_ca453_row10_col2, #T_ca453_row18_col2, #T_ca453_row44_col2, #T_ca453_row45_col2, #T_ca453_row46_col2, #T_ca453_row49_col2, #T_ca453_row52_col2, #T_ca453_row54_col2, #T_ca453_row55_col2, #T_ca453_row57_col2, #T_ca453_row58_col2, #T_ca453_row59_col2, #T_ca453_row60_col0, #T_ca453_row60_col2, #T_ca453_row61_col2, #T_ca453_row62_col2, #T_ca453_row63_col0, #T_ca453_row63_col2 {\n",
+ "#T_fbf73_row0_col0, #T_fbf73_row0_col2, #T_fbf73_row1_col2, #T_fbf73_row2_col2, #T_fbf73_row3_col0, #T_fbf73_row3_col2, #T_fbf73_row5_col2, #T_fbf73_row6_col2, #T_fbf73_row7_col2, #T_fbf73_row8_col2, #T_fbf73_row10_col2, #T_fbf73_row18_col2, #T_fbf73_row44_col2, #T_fbf73_row45_col2, #T_fbf73_row46_col2, #T_fbf73_row49_col2, #T_fbf73_row52_col2, #T_fbf73_row54_col2, #T_fbf73_row55_col2, #T_fbf73_row57_col2, #T_fbf73_row58_col2, #T_fbf73_row59_col2, #T_fbf73_row60_col0, #T_fbf73_row60_col2, #T_fbf73_row61_col2, #T_fbf73_row62_col2, #T_fbf73_row63_col0, #T_fbf73_row63_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row0_col4, #T_ca453_row13_col4, #T_ca453_row60_col4 {\n",
+ "#T_fbf73_row0_col4, #T_fbf73_row13_col4, #T_fbf73_row60_col4 {\n",
" background-color: #f4d0d0;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row1_col0, #T_ca453_row2_col0, #T_ca453_row11_col2, #T_ca453_row13_col2, #T_ca453_row16_col2, #T_ca453_row17_col2, #T_ca453_row20_col2, #T_ca453_row24_col2, #T_ca453_row26_col2, #T_ca453_row28_col2, #T_ca453_row33_col2, #T_ca453_row37_col2, #T_ca453_row39_col2, #T_ca453_row42_col2, #T_ca453_row43_col2, #T_ca453_row44_col0, #T_ca453_row48_col2, #T_ca453_row51_col2, #T_ca453_row61_col0, #T_ca453_row62_col0 {\n",
+ "#T_fbf73_row1_col0, #T_fbf73_row2_col0, #T_fbf73_row11_col2, #T_fbf73_row13_col2, #T_fbf73_row16_col2, #T_fbf73_row17_col2, #T_fbf73_row20_col2, #T_fbf73_row24_col2, #T_fbf73_row26_col2, #T_fbf73_row28_col2, #T_fbf73_row33_col2, #T_fbf73_row37_col2, #T_fbf73_row39_col2, #T_fbf73_row42_col2, #T_fbf73_row43_col2, #T_fbf73_row44_col0, #T_fbf73_row48_col2, #T_fbf73_row51_col2, #T_fbf73_row61_col0, #T_fbf73_row62_col0 {\n",
" background-color: #35ff35;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row1_col4, #T_ca453_row61_col4 {\n",
+ "#T_fbf73_row1_col4, #T_fbf73_row61_col4 {\n",
" background-color: #f5c8c8;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row2_col4, #T_ca453_row7_col4, #T_ca453_row10_col4, #T_ca453_row62_col4 {\n",
+ "#T_fbf73_row2_col4, #T_fbf73_row7_col4, #T_fbf73_row10_col4, #T_fbf73_row62_col4 {\n",
" background-color: #f4d1d1;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row3_col4, #T_ca453_row63_col4 {\n",
+ "#T_fbf73_row3_col4, #T_fbf73_row63_col4 {\n",
" background-color: #f4d5d5;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row4_col0 {\n",
+ "#T_fbf73_row4_col0 {\n",
" background-color: #51fd51;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row4_col2, #T_ca453_row7_col0, #T_ca453_row14_col2, #T_ca453_row30_col0, #T_ca453_row38_col0 {\n",
+ "#T_fbf73_row4_col2, #T_fbf73_row7_col0, #T_fbf73_row14_col2, #T_fbf73_row30_col0, #T_fbf73_row38_col0 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row4_col4 {\n",
+ "#T_fbf73_row4_col4 {\n",
" background-color: #fc3c3c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row5_col0, #T_ca453_row12_col0, #T_ca453_row26_col0, #T_ca453_row37_col0 {\n",
+ "#T_fbf73_row5_col0, #T_fbf73_row12_col0, #T_fbf73_row26_col0, #T_fbf73_row37_col0 {\n",
" background-color: #44fe44;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row5_col4, #T_ca453_row18_col4 {\n",
+ "#T_fbf73_row5_col4, #T_fbf73_row18_col4 {\n",
" background-color: #f5c7c7;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row6_col0, #T_ca453_row9_col2, #T_ca453_row10_col0, #T_ca453_row15_col0, #T_ca453_row18_col0, #T_ca453_row20_col0, #T_ca453_row22_col0, #T_ca453_row24_col0, #T_ca453_row29_col2 {\n",
+ "#T_fbf73_row6_col0, #T_fbf73_row9_col2, #T_fbf73_row10_col0, #T_fbf73_row15_col0, #T_fbf73_row18_col0, #T_fbf73_row20_col0, #T_fbf73_row22_col0, #T_fbf73_row24_col0, #T_fbf73_row29_col2 {\n",
" background-color: #3ffe3f;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row6_col4, #T_ca453_row17_col4 {\n",
+ "#T_fbf73_row6_col4, #T_fbf73_row17_col4 {\n",
" background-color: #f4d2d2;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row8_col0, #T_ca453_row29_col0, #T_ca453_row33_col0 {\n",
+ "#T_fbf73_row8_col0, #T_fbf73_row29_col0, #T_fbf73_row33_col0 {\n",
" background-color: #43fe43;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row8_col4 {\n",
+ "#T_fbf73_row8_col4 {\n",
" background-color: #f3e6e6;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row9_col0 {\n",
+ "#T_fbf73_row9_col0 {\n",
" background-color: #59fd59;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row9_col4 {\n",
+ "#T_fbf73_row9_col4 {\n",
" background-color: #fe0a0a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row11_col0 {\n",
+ "#T_fbf73_row11_col0 {\n",
" background-color: #3bff3b;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row11_col4 {\n",
+ "#T_fbf73_row11_col4 {\n",
" background-color: #f4dbdb;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row12_col2, #T_ca453_row15_col2, #T_ca453_row21_col2, #T_ca453_row23_col0, #T_ca453_row31_col2, #T_ca453_row45_col0, #T_ca453_row55_col0, #T_ca453_row57_col0 {\n",
+ "#T_fbf73_row12_col2, #T_fbf73_row15_col2, #T_fbf73_row21_col2, #T_fbf73_row23_col0, #T_fbf73_row31_col2, #T_fbf73_row45_col0, #T_fbf73_row55_col0, #T_fbf73_row57_col0 {\n",
" background-color: #38ff38;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row12_col4 {\n",
+ "#T_fbf73_row12_col4 {\n",
" background-color: #f5cccc;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row13_col0, #T_ca453_row21_col0 {\n",
+ "#T_fbf73_row13_col0, #T_fbf73_row21_col0 {\n",
" background-color: #47fe47;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row14_col0 {\n",
+ "#T_fbf73_row14_col0 {\n",
" background-color: #56fd56;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row14_col4 {\n",
+ "#T_fbf73_row14_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row15_col4, #T_ca453_row35_col4 {\n",
+ "#T_fbf73_row15_col4, #T_fbf73_row35_col4 {\n",
" background-color: #f4dcdc;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row16_col0 {\n",
+ "#T_fbf73_row16_col0 {\n",
" background-color: #4bfd4b;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row16_col4, #T_ca453_row38_col4 {\n",
+ "#T_fbf73_row16_col4, #T_fbf73_row38_col4 {\n",
" background-color: #f4d9d9;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row17_col0, #T_ca453_row40_col0 {\n",
+ "#T_fbf73_row17_col0, #T_fbf73_row40_col0 {\n",
" background-color: #48fe48;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row19_col0 {\n",
+ "#T_fbf73_row19_col0 {\n",
" background-color: #55fd55;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row19_col2, #T_ca453_row22_col2, #T_ca453_row30_col2, #T_ca453_row49_col0, #T_ca453_row58_col0 {\n",
+ "#T_fbf73_row19_col2, #T_fbf73_row22_col2, #T_fbf73_row30_col2, #T_fbf73_row49_col0, #T_fbf73_row58_col0 {\n",
" background-color: #3aff3a;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row19_col4 {\n",
+ "#T_fbf73_row19_col4 {\n",
" background-color: #fd2020;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row20_col4 {\n",
+ "#T_fbf73_row20_col4 {\n",
" background-color: #f89292;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row21_col4 {\n",
+ "#T_fbf73_row21_col4 {\n",
" background-color: #fa5d5d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row22_col4, #T_ca453_row41_col4 {\n",
+ "#T_fbf73_row22_col4, #T_fbf73_row41_col4 {\n",
" background-color: #f4d4d4;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row23_col2, #T_ca453_row25_col2, #T_ca453_row32_col0, #T_ca453_row35_col2, #T_ca453_row42_col0 {\n",
+ "#T_fbf73_row23_col2, #T_fbf73_row25_col2, #T_fbf73_row32_col0, #T_fbf73_row35_col2, #T_fbf73_row42_col0 {\n",
" background-color: #42fe42;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row23_col4, #T_ca453_row25_col4 {\n",
+ "#T_fbf73_row23_col4, #T_fbf73_row25_col4 {\n",
" background-color: #f4dfdf;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row24_col4 {\n",
+ "#T_fbf73_row24_col4 {\n",
" background-color: #f88f8f;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row25_col0 {\n",
+ "#T_fbf73_row25_col0 {\n",
" background-color: #3efe3e;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row26_col4 {\n",
+ "#T_fbf73_row26_col4 {\n",
" background-color: #fa6969;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row27_col0, #T_ca453_row28_col0, #T_ca453_row34_col0, #T_ca453_row39_col0 {\n",
+ "#T_fbf73_row27_col0, #T_fbf73_row28_col0, #T_fbf73_row34_col0, #T_fbf73_row39_col0 {\n",
" background-color: #40fe40;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row27_col2 {\n",
+ "#T_fbf73_row27_col2 {\n",
" background-color: #3cfe3c;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row27_col4 {\n",
+ "#T_fbf73_row27_col4 {\n",
" background-color: #f3e7e7;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row28_col4 {\n",
+ "#T_fbf73_row28_col4 {\n",
" background-color: #f79797;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row29_col4 {\n",
+ "#T_fbf73_row29_col4 {\n",
" background-color: #f4d3d3;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row30_col4 {\n",
+ "#T_fbf73_row30_col4 {\n",
" background-color: #f4d7d7;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row31_col0, #T_ca453_row35_col0, #T_ca453_row41_col0 {\n",
+ "#T_fbf73_row31_col0, #T_fbf73_row35_col0, #T_fbf73_row41_col0 {\n",
" background-color: #45fe45;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row31_col4 {\n",
+ "#T_fbf73_row31_col4 {\n",
" background-color: #f97575;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row32_col2 {\n",
+ "#T_fbf73_row32_col2 {\n",
" background-color: #5dfc5d;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row32_col4 {\n",
+ "#T_fbf73_row32_col4 {\n",
" background-color: #f3eeee;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row33_col4 {\n",
+ "#T_fbf73_row33_col4 {\n",
" background-color: #f88484;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row34_col2, #T_ca453_row48_col0 {\n",
+ "#T_fbf73_row34_col2, #T_fbf73_row48_col0 {\n",
" background-color: #36ff36;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row34_col4 {\n",
+ "#T_fbf73_row34_col4 {\n",
" background-color: #f97c7c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row36_col0 {\n",
+ "#T_fbf73_row36_col0 {\n",
" background-color: #57fd57;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row36_col2 {\n",
+ "#T_fbf73_row36_col2 {\n",
" background-color: #64fc64;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row36_col4, #T_ca453_row56_col4 {\n",
+ "#T_fbf73_row36_col4, #T_fbf73_row56_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row37_col4 {\n",
+ "#T_fbf73_row37_col4 {\n",
" background-color: #f88383;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row38_col2 {\n",
+ "#T_fbf73_row38_col2 {\n",
" background-color: #4dfd4d;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row39_col4, #T_ca453_row43_col4 {\n",
+ "#T_fbf73_row39_col4, #T_fbf73_row43_col4 {\n",
" background-color: #f79897;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row40_col2 {\n",
+ "#T_fbf73_row40_col2 {\n",
" background-color: #6ffb6f;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row40_col4 {\n",
+ "#T_fbf73_row40_col4 {\n",
" background-color: #f3e8e7;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row41_col2 {\n",
+ "#T_fbf73_row41_col2 {\n",
" background-color: #46fe46;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row42_col4 {\n",
+ "#T_fbf73_row42_col4 {\n",
" background-color: #f97878;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_ca453_row43_col0 {\n",
+ "#T_fbf73_row43_col0 {\n",
" background-color: #41fe41;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row44_col4, #T_ca453_row51_col4, #T_ca453_row52_col4 {\n",
+ "#T_fbf73_row44_col4, #T_fbf73_row51_col4, #T_fbf73_row52_col4 {\n",
" background-color: #f6baba;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row45_col4, #T_ca453_row58_col4 {\n",
+ "#T_fbf73_row45_col4, #T_fbf73_row58_col4 {\n",
" background-color: #f6b0b0;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row46_col0, #T_ca453_row51_col0, #T_ca453_row54_col0 {\n",
+ "#T_fbf73_row46_col0, #T_fbf73_row51_col0, #T_fbf73_row54_col0 {\n",
" background-color: #39ff39;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row46_col4 {\n",
+ "#T_fbf73_row46_col4 {\n",
" background-color: #f6a9a9;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row47_col0 {\n",
+ "#T_fbf73_row47_col0 {\n",
" background-color: #9ef89e;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row47_col2 {\n",
+ "#T_fbf73_row47_col2 {\n",
" background-color: #c8f5c8;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row47_col4 {\n",
+ "#T_fbf73_row47_col4 {\n",
" background-color: #f4dede;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row48_col4, #T_ca453_row57_col4 {\n",
+ "#T_fbf73_row48_col4, #T_fbf73_row57_col4 {\n",
" background-color: #f6b9b9;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row49_col4 {\n",
+ "#T_fbf73_row49_col4 {\n",
" background-color: #f7a2a2;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row50_col0 {\n",
+ "#T_fbf73_row50_col0 {\n",
" background-color: #73fb73;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row50_col2 {\n",
+ "#T_fbf73_row50_col2 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row50_col4 {\n",
+ "#T_fbf73_row50_col4 {\n",
" background-color: #f4e1e1;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row52_col0, #T_ca453_row59_col0 {\n",
+ "#T_fbf73_row52_col0, #T_fbf73_row59_col0 {\n",
" background-color: #37ff37;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row53_col0 {\n",
+ "#T_fbf73_row53_col0 {\n",
" background-color: #80fa80;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row53_col2 {\n",
+ "#T_fbf73_row53_col2 {\n",
" background-color: #91f991;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row53_col4 {\n",
+ "#T_fbf73_row53_col4 {\n",
" background-color: #f3e4e4;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row54_col4 {\n",
+ "#T_fbf73_row54_col4 {\n",
" background-color: #f6adad;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row55_col4 {\n",
+ "#T_fbf73_row55_col4 {\n",
" background-color: #f5c1c1;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row56_col0, #T_ca453_row56_col2 {\n",
+ "#T_fbf73_row56_col0, #T_fbf73_row56_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_ca453_row59_col4 {\n",
+ "#T_fbf73_row59_col4 {\n",
" background-color: #f5c6c6;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_ca453\">\n",
+ "<table id=\"T_fbf73\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_ca453_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
- " <th id=\"T_ca453_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " <th id=\"T_fbf73_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_fbf73_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_ca453_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_ca453_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_ca453_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_fbf73_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_fbf73_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_fbf73_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_ca453_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_ca453_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
- " <th id=\"T_ca453_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_ca453_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
- " <th id=\"T_ca453_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_ca453_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " <th id=\"T_fbf73_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_fbf73_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_fbf73_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_fbf73_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_fbf73_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_fbf73_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_ca453_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_ca453_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_ca453_row0_col0\" class=\"data row0 col0\" >99.52</td>\n",
- " <td id=\"T_ca453_row0_col1\" class=\"data row0 col1\" >1.21</td>\n",
- " <td id=\"T_ca453_row0_col2\" class=\"data row0 col2\" >99.95</td>\n",
- " <td id=\"T_ca453_row0_col3\" class=\"data row0 col3\" >0.47</td>\n",
- " <td id=\"T_ca453_row0_col4\" class=\"data row0 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row0_col5\" class=\"data row0 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_ca453_row1_col0\" class=\"data row1 col0\" >99.29</td>\n",
- " <td id=\"T_ca453_row1_col1\" class=\"data row1 col1\" >1.65</td>\n",
- " <td id=\"T_ca453_row1_col2\" class=\"data row1 col2\" >100.00</td>\n",
- " <td id=\"T_ca453_row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
- " <td id=\"T_ca453_row1_col4\" class=\"data row1 col4\" >1.09</td>\n",
- " <td id=\"T_ca453_row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_ca453_row2_col0\" class=\"data row2 col0\" >99.31</td>\n",
- " <td id=\"T_ca453_row2_col1\" class=\"data row2 col1\" >1.46</td>\n",
- " <td id=\"T_ca453_row2_col2\" class=\"data row2 col2\" >100.00</td>\n",
- " <td id=\"T_ca453_row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
- " <td id=\"T_ca453_row2_col4\" class=\"data row2 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_ca453_row3_col0\" class=\"data row3 col0\" >99.59</td>\n",
- " <td id=\"T_ca453_row3_col1\" class=\"data row3 col1\" >1.02</td>\n",
- " <td id=\"T_ca453_row3_col2\" class=\"data row3 col2\" >99.99</td>\n",
- " <td id=\"T_ca453_row3_col3\" class=\"data row3 col3\" >0.10</td>\n",
- " <td id=\"T_ca453_row3_col4\" class=\"data row3 col4\" >1.06</td>\n",
- " <td id=\"T_ca453_row3_col5\" class=\"data row3 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_ca453_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_ca453_row4_col0\" class=\"data row4 col0\" >94.37</td>\n",
- " <td id=\"T_ca453_row4_col1\" class=\"data row4 col1\" >2.87</td>\n",
- " <td id=\"T_ca453_row4_col2\" class=\"data row4 col2\" >97.46</td>\n",
- " <td id=\"T_ca453_row4_col3\" class=\"data row4 col3\" >3.33</td>\n",
- " <td id=\"T_ca453_row4_col4\" class=\"data row4 col4\" >1.39</td>\n",
- " <td id=\"T_ca453_row4_col5\" class=\"data row4 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_ca453_row5_col0\" class=\"data row5 col0\" >96.54</td>\n",
- " <td id=\"T_ca453_row5_col1\" class=\"data row5 col1\" >2.94</td>\n",
- " <td id=\"T_ca453_row5_col2\" class=\"data row5 col2\" >99.97</td>\n",
- " <td id=\"T_ca453_row5_col3\" class=\"data row5 col3\" >0.29</td>\n",
- " <td id=\"T_ca453_row5_col4\" class=\"data row5 col4\" >1.09</td>\n",
- " <td id=\"T_ca453_row5_col5\" class=\"data row5 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_ca453_row6_col0\" class=\"data row6 col0\" >97.64</td>\n",
- " <td id=\"T_ca453_row6_col1\" class=\"data row6 col1\" >2.49</td>\n",
- " <td id=\"T_ca453_row6_col2\" class=\"data row6 col2\" >99.80</td>\n",
- " <td id=\"T_ca453_row6_col3\" class=\"data row6 col3\" >1.29</td>\n",
- " <td id=\"T_ca453_row6_col4\" class=\"data row6 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row6_col5\" class=\"data row6 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_ca453_row7_col0\" class=\"data row7 col0\" >97.87</td>\n",
- " <td id=\"T_ca453_row7_col1\" class=\"data row7 col1\" >2.59</td>\n",
- " <td id=\"T_ca453_row7_col2\" class=\"data row7 col2\" >99.88</td>\n",
- " <td id=\"T_ca453_row7_col3\" class=\"data row7 col3\" >0.84</td>\n",
- " <td id=\"T_ca453_row7_col4\" class=\"data row7 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_ca453_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_ca453_row8_col0\" class=\"data row8 col0\" >96.85</td>\n",
- " <td id=\"T_ca453_row8_col1\" class=\"data row8 col1\" >4.36</td>\n",
- " <td id=\"T_ca453_row8_col2\" class=\"data row8 col2\" >99.95</td>\n",
- " <td id=\"T_ca453_row8_col3\" class=\"data row8 col3\" >0.49</td>\n",
- " <td id=\"T_ca453_row8_col4\" class=\"data row8 col4\" >1.03</td>\n",
- " <td id=\"T_ca453_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_ca453_row9_col0\" class=\"data row9 col0\" >92.95</td>\n",
- " <td id=\"T_ca453_row9_col1\" class=\"data row9 col1\" >2.76</td>\n",
- " <td id=\"T_ca453_row9_col2\" class=\"data row9 col2\" >96.68</td>\n",
- " <td id=\"T_ca453_row9_col3\" class=\"data row9 col3\" >3.35</td>\n",
- " <td id=\"T_ca453_row9_col4\" class=\"data row9 col4\" >1.49</td>\n",
- " <td id=\"T_ca453_row9_col5\" class=\"data row9 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_ca453_row10_col0\" class=\"data row10 col0\" >97.54</td>\n",
- " <td id=\"T_ca453_row10_col1\" class=\"data row10 col1\" >2.63</td>\n",
- " <td id=\"T_ca453_row10_col2\" class=\"data row10 col2\" >99.81</td>\n",
- " <td id=\"T_ca453_row10_col3\" class=\"data row10 col3\" >1.56</td>\n",
- " <td id=\"T_ca453_row10_col4\" class=\"data row10 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row10_col5\" class=\"data row10 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_ca453_row11_col0\" class=\"data row11 col0\" >98.22</td>\n",
- " <td id=\"T_ca453_row11_col1\" class=\"data row11 col1\" >2.03</td>\n",
- " <td id=\"T_ca453_row11_col2\" class=\"data row11 col2\" >99.42</td>\n",
- " <td id=\"T_ca453_row11_col3\" class=\"data row11 col3\" >4.09</td>\n",
- " <td id=\"T_ca453_row11_col4\" class=\"data row11 col4\" >1.05</td>\n",
- " <td id=\"T_ca453_row11_col5\" class=\"data row11 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_ca453_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_ca453_row12_col0\" class=\"data row12 col0\" >96.55</td>\n",
- " <td id=\"T_ca453_row12_col1\" class=\"data row12 col1\" >3.97</td>\n",
- " <td id=\"T_ca453_row12_col2\" class=\"data row12 col2\" >98.82</td>\n",
- " <td id=\"T_ca453_row12_col3\" class=\"data row12 col3\" >10.03</td>\n",
- " <td id=\"T_ca453_row12_col4\" class=\"data row12 col4\" >1.08</td>\n",
- " <td id=\"T_ca453_row12_col5\" class=\"data row12 col5\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_ca453_row13_col0\" class=\"data row13 col0\" >96.19</td>\n",
- " <td id=\"T_ca453_row13_col1\" class=\"data row13 col1\" >3.13</td>\n",
- " <td id=\"T_ca453_row13_col2\" class=\"data row13 col2\" >99.64</td>\n",
- " <td id=\"T_ca453_row13_col3\" class=\"data row13 col3\" >2.19</td>\n",
- " <td id=\"T_ca453_row13_col4\" class=\"data row13 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_ca453_row14_col0\" class=\"data row14 col0\" >93.50</td>\n",
- " <td id=\"T_ca453_row14_col1\" class=\"data row14 col1\" >2.46</td>\n",
- " <td id=\"T_ca453_row14_col2\" class=\"data row14 col2\" >97.45</td>\n",
- " <td id=\"T_ca453_row14_col3\" class=\"data row14 col3\" >2.90</td>\n",
- " <td id=\"T_ca453_row14_col4\" class=\"data row14 col4\" >1.52</td>\n",
- " <td id=\"T_ca453_row14_col5\" class=\"data row14 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_ca453_row15_col0\" class=\"data row15 col0\" >97.64</td>\n",
- " <td id=\"T_ca453_row15_col1\" class=\"data row15 col1\" >3.79</td>\n",
- " <td id=\"T_ca453_row15_col2\" class=\"data row15 col2\" >98.59</td>\n",
- " <td id=\"T_ca453_row15_col3\" class=\"data row15 col3\" >10.34</td>\n",
- " <td id=\"T_ca453_row15_col4\" class=\"data row15 col4\" >1.05</td>\n",
- " <td id=\"T_ca453_row15_col5\" class=\"data row15 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_ca453_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_ca453_row16_col0\" class=\"data row16 col0\" >95.50</td>\n",
- " <td id=\"T_ca453_row16_col1\" class=\"data row16 col1\" >10.77</td>\n",
- " <td id=\"T_ca453_row16_col2\" class=\"data row16 col2\" >99.55</td>\n",
- " <td id=\"T_ca453_row16_col3\" class=\"data row16 col3\" >3.25</td>\n",
- " <td id=\"T_ca453_row16_col4\" class=\"data row16 col4\" >1.05</td>\n",
- " <td id=\"T_ca453_row16_col5\" class=\"data row16 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_ca453_row17_col0\" class=\"data row17 col0\" >96.00</td>\n",
- " <td id=\"T_ca453_row17_col1\" class=\"data row17 col1\" >3.92</td>\n",
- " <td id=\"T_ca453_row17_col2\" class=\"data row17 col2\" >99.79</td>\n",
- " <td id=\"T_ca453_row17_col3\" class=\"data row17 col3\" >1.24</td>\n",
- " <td id=\"T_ca453_row17_col4\" class=\"data row17 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row17_col5\" class=\"data row17 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_ca453_row18_col0\" class=\"data row18 col0\" >97.53</td>\n",
- " <td id=\"T_ca453_row18_col1\" class=\"data row18 col1\" >2.44</td>\n",
- " <td id=\"T_ca453_row18_col2\" class=\"data row18 col2\" >99.89</td>\n",
- " <td id=\"T_ca453_row18_col3\" class=\"data row18 col3\" >1.12</td>\n",
- " <td id=\"T_ca453_row18_col4\" class=\"data row18 col4\" >1.09</td>\n",
- " <td id=\"T_ca453_row18_col5\" class=\"data row18 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_ca453_row19_col0\" class=\"data row19 col0\" >93.69</td>\n",
- " <td id=\"T_ca453_row19_col1\" class=\"data row19 col1\" >2.47</td>\n",
- " <td id=\"T_ca453_row19_col2\" class=\"data row19 col2\" >98.08</td>\n",
- " <td id=\"T_ca453_row19_col3\" class=\"data row19 col3\" >1.80</td>\n",
- " <td id=\"T_ca453_row19_col4\" class=\"data row19 col4\" >1.45</td>\n",
- " <td id=\"T_ca453_row19_col5\" class=\"data row19 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_ca453_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_ca453_row20_col0\" class=\"data row20 col0\" >97.60</td>\n",
- " <td id=\"T_ca453_row20_col1\" class=\"data row20 col1\" >1.87</td>\n",
- " <td id=\"T_ca453_row20_col2\" class=\"data row20 col2\" >99.47</td>\n",
- " <td id=\"T_ca453_row20_col3\" class=\"data row20 col3\" >1.94</td>\n",
- " <td id=\"T_ca453_row20_col4\" class=\"data row20 col4\" >1.21</td>\n",
- " <td id=\"T_ca453_row20_col5\" class=\"data row20 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_ca453_row21_col0\" class=\"data row21 col0\" >96.09</td>\n",
- " <td id=\"T_ca453_row21_col1\" class=\"data row21 col1\" >2.39</td>\n",
- " <td id=\"T_ca453_row21_col2\" class=\"data row21 col2\" >98.83</td>\n",
- " <td id=\"T_ca453_row21_col3\" class=\"data row21 col3\" >2.92</td>\n",
- " <td id=\"T_ca453_row21_col4\" class=\"data row21 col4\" >1.32</td>\n",
- " <td id=\"T_ca453_row21_col5\" class=\"data row21 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_ca453_row22_col0\" class=\"data row22 col0\" >97.65</td>\n",
- " <td id=\"T_ca453_row22_col1\" class=\"data row22 col1\" >3.77</td>\n",
- " <td id=\"T_ca453_row22_col2\" class=\"data row22 col2\" >98.00</td>\n",
- " <td id=\"T_ca453_row22_col3\" class=\"data row22 col3\" >14.00</td>\n",
- " <td id=\"T_ca453_row22_col4\" class=\"data row22 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row22_col5\" class=\"data row22 col5\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_ca453_row23_col0\" class=\"data row23 col0\" >98.83</td>\n",
- " <td id=\"T_ca453_row23_col1\" class=\"data row23 col1\" >2.60</td>\n",
- " <td id=\"T_ca453_row23_col2\" class=\"data row23 col2\" >95.90</td>\n",
- " <td id=\"T_ca453_row23_col3\" class=\"data row23 col3\" >19.60</td>\n",
- " <td id=\"T_ca453_row23_col4\" class=\"data row23 col4\" >1.04</td>\n",
- " <td id=\"T_ca453_row23_col5\" class=\"data row23 col5\" >0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_ca453_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_ca453_row24_col0\" class=\"data row24 col0\" >97.63</td>\n",
- " <td id=\"T_ca453_row24_col1\" class=\"data row24 col1\" >2.13</td>\n",
- " <td id=\"T_ca453_row24_col2\" class=\"data row24 col2\" >99.49</td>\n",
- " <td id=\"T_ca453_row24_col3\" class=\"data row24 col3\" >1.31</td>\n",
- " <td id=\"T_ca453_row24_col4\" class=\"data row24 col4\" >1.21</td>\n",
- " <td id=\"T_ca453_row24_col5\" class=\"data row24 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_ca453_row25_col0\" class=\"data row25 col0\" >97.75</td>\n",
- " <td id=\"T_ca453_row25_col1\" class=\"data row25 col1\" >3.70</td>\n",
- " <td id=\"T_ca453_row25_col2\" class=\"data row25 col2\" >95.92</td>\n",
- " <td id=\"T_ca453_row25_col3\" class=\"data row25 col3\" >19.60</td>\n",
- " <td id=\"T_ca453_row25_col4\" class=\"data row25 col4\" >1.04</td>\n",
- " <td id=\"T_ca453_row25_col5\" class=\"data row25 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_ca453_row26_col0\" class=\"data row26 col0\" >96.57</td>\n",
- " <td id=\"T_ca453_row26_col1\" class=\"data row26 col1\" >1.90</td>\n",
- " <td id=\"T_ca453_row26_col2\" class=\"data row26 col2\" >99.41</td>\n",
- " <td id=\"T_ca453_row26_col3\" class=\"data row26 col3\" >1.37</td>\n",
- " <td id=\"T_ca453_row26_col4\" class=\"data row26 col4\" >1.29</td>\n",
- " <td id=\"T_ca453_row26_col5\" class=\"data row26 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_ca453_row27_col0\" class=\"data row27 col0\" >97.42</td>\n",
- " <td id=\"T_ca453_row27_col1\" class=\"data row27 col1\" >7.08</td>\n",
- " <td id=\"T_ca453_row27_col2\" class=\"data row27 col2\" >97.64</td>\n",
- " <td id=\"T_ca453_row27_col3\" class=\"data row27 col3\" >14.41</td>\n",
- " <td id=\"T_ca453_row27_col4\" class=\"data row27 col4\" >1.03</td>\n",
- " <td id=\"T_ca453_row27_col5\" class=\"data row27 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_ca453_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_ca453_row28_col0\" class=\"data row28 col0\" >97.41</td>\n",
- " <td id=\"T_ca453_row28_col1\" class=\"data row28 col1\" >2.33</td>\n",
- " <td id=\"T_ca453_row28_col2\" class=\"data row28 col2\" >99.45</td>\n",
- " <td id=\"T_ca453_row28_col3\" class=\"data row28 col3\" >1.56</td>\n",
- " <td id=\"T_ca453_row28_col4\" class=\"data row28 col4\" >1.20</td>\n",
- " <td id=\"T_ca453_row28_col5\" class=\"data row28 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_ca453_row29_col0\" class=\"data row29 col0\" >96.84</td>\n",
- " <td id=\"T_ca453_row29_col1\" class=\"data row29 col1\" >5.44</td>\n",
- " <td id=\"T_ca453_row29_col2\" class=\"data row29 col2\" >96.82</td>\n",
- " <td id=\"T_ca453_row29_col3\" class=\"data row29 col3\" >17.08</td>\n",
- " <td id=\"T_ca453_row29_col4\" class=\"data row29 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row29_col5\" class=\"data row29 col5\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_ca453_row30_col0\" class=\"data row30 col0\" >97.85</td>\n",
- " <td id=\"T_ca453_row30_col1\" class=\"data row30 col1\" >2.77</td>\n",
- " <td id=\"T_ca453_row30_col2\" class=\"data row30 col2\" >98.00</td>\n",
- " <td id=\"T_ca453_row30_col3\" class=\"data row30 col3\" >14.00</td>\n",
- " <td id=\"T_ca453_row30_col4\" class=\"data row30 col4\" >1.06</td>\n",
- " <td id=\"T_ca453_row30_col5\" class=\"data row30 col5\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_ca453_row31_col0\" class=\"data row31 col0\" >96.46</td>\n",
- " <td id=\"T_ca453_row31_col1\" class=\"data row31 col1\" >2.42</td>\n",
- " <td id=\"T_ca453_row31_col2\" class=\"data row31 col2\" >98.81</td>\n",
- " <td id=\"T_ca453_row31_col3\" class=\"data row31 col3\" >2.04</td>\n",
- " <td id=\"T_ca453_row31_col4\" class=\"data row31 col4\" >1.27</td>\n",
- " <td id=\"T_ca453_row31_col5\" class=\"data row31 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_ca453_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_ca453_row32_col0\" class=\"data row32 col0\" >97.13</td>\n",
- " <td id=\"T_ca453_row32_col1\" class=\"data row32 col1\" >7.69</td>\n",
- " <td id=\"T_ca453_row32_col2\" class=\"data row32 col2\" >88.00</td>\n",
- " <td id=\"T_ca453_row32_col3\" class=\"data row32 col3\" >32.50</td>\n",
- " <td id=\"T_ca453_row32_col4\" class=\"data row32 col4\" >1.01</td>\n",
- " <td id=\"T_ca453_row32_col5\" class=\"data row32 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_ca453_row33_col0\" class=\"data row33 col0\" >96.88</td>\n",
- " <td id=\"T_ca453_row33_col1\" class=\"data row33 col1\" >1.89</td>\n",
- " <td id=\"T_ca453_row33_col2\" class=\"data row33 col2\" >99.62</td>\n",
- " <td id=\"T_ca453_row33_col3\" class=\"data row33 col3\" >1.03</td>\n",
- " <td id=\"T_ca453_row33_col4\" class=\"data row33 col4\" >1.24</td>\n",
- " <td id=\"T_ca453_row33_col5\" class=\"data row33 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_ca453_row34_col0\" class=\"data row34 col0\" >97.41</td>\n",
- " <td id=\"T_ca453_row34_col1\" class=\"data row34 col1\" >1.81</td>\n",
- " <td id=\"T_ca453_row34_col2\" class=\"data row34 col2\" >99.37</td>\n",
- " <td id=\"T_ca453_row34_col3\" class=\"data row34 col3\" >2.05</td>\n",
- " <td id=\"T_ca453_row34_col4\" class=\"data row34 col4\" >1.25</td>\n",
- " <td id=\"T_ca453_row34_col5\" class=\"data row34 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_ca453_row35_col0\" class=\"data row35 col0\" >96.44</td>\n",
- " <td id=\"T_ca453_row35_col1\" class=\"data row35 col1\" >14.01</td>\n",
- " <td id=\"T_ca453_row35_col2\" class=\"data row35 col2\" >96.00</td>\n",
- " <td id=\"T_ca453_row35_col3\" class=\"data row35 col3\" >19.60</td>\n",
- " <td id=\"T_ca453_row35_col4\" class=\"data row35 col4\" >1.05</td>\n",
- " <td id=\"T_ca453_row35_col5\" class=\"data row35 col5\" >0.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_ca453_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_ca453_row36_col0\" class=\"data row36 col0\" >93.33</td>\n",
- " <td id=\"T_ca453_row36_col1\" class=\"data row36 col1\" >20.56</td>\n",
- " <td id=\"T_ca453_row36_col2\" class=\"data row36 col2\" >86.00</td>\n",
- " <td id=\"T_ca453_row36_col3\" class=\"data row36 col3\" >34.70</td>\n",
- " <td id=\"T_ca453_row36_col4\" class=\"data row36 col4\" >1.00</td>\n",
- " <td id=\"T_ca453_row36_col5\" class=\"data row36 col5\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_ca453_row37_col0\" class=\"data row37 col0\" >96.59</td>\n",
- " <td id=\"T_ca453_row37_col1\" class=\"data row37 col1\" >1.95</td>\n",
- " <td id=\"T_ca453_row37_col2\" class=\"data row37 col2\" >99.57</td>\n",
- " <td id=\"T_ca453_row37_col3\" class=\"data row37 col3\" >1.16</td>\n",
- " <td id=\"T_ca453_row37_col4\" class=\"data row37 col4\" >1.24</td>\n",
- " <td id=\"T_ca453_row37_col5\" class=\"data row37 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_ca453_row38_col0\" class=\"data row38 col0\" >98.05</td>\n",
- " <td id=\"T_ca453_row38_col1\" class=\"data row38 col1\" >3.17</td>\n",
- " <td id=\"T_ca453_row38_col2\" class=\"data row38 col2\" >92.57</td>\n",
- " <td id=\"T_ca453_row38_col3\" class=\"data row38 col3\" >25.59</td>\n",
- " <td id=\"T_ca453_row38_col4\" class=\"data row38 col4\" >1.05</td>\n",
- " <td id=\"T_ca453_row38_col5\" class=\"data row38 col5\" >0.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_ca453_row39_col0\" class=\"data row39 col0\" >97.40</td>\n",
- " <td id=\"T_ca453_row39_col1\" class=\"data row39 col1\" >1.91</td>\n",
- " <td id=\"T_ca453_row39_col2\" class=\"data row39 col2\" >99.52</td>\n",
- " <td id=\"T_ca453_row39_col3\" class=\"data row39 col3\" >1.83</td>\n",
- " <td id=\"T_ca453_row39_col4\" class=\"data row39 col4\" >1.19</td>\n",
- " <td id=\"T_ca453_row39_col5\" class=\"data row39 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_ca453_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_ca453_row40_col0\" class=\"data row40 col0\" >95.94</td>\n",
- " <td id=\"T_ca453_row40_col1\" class=\"data row40 col1\" >14.26</td>\n",
- " <td id=\"T_ca453_row40_col2\" class=\"data row40 col2\" >83.00</td>\n",
- " <td id=\"T_ca453_row40_col3\" class=\"data row40 col3\" >37.56</td>\n",
- " <td id=\"T_ca453_row40_col4\" class=\"data row40 col4\" >1.02</td>\n",
- " <td id=\"T_ca453_row40_col5\" class=\"data row40 col5\" >0.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_ca453_row41_col0\" class=\"data row41 col0\" >96.52</td>\n",
- " <td id=\"T_ca453_row41_col1\" class=\"data row41 col1\" >4.94</td>\n",
- " <td id=\"T_ca453_row41_col2\" class=\"data row41 col2\" >94.75</td>\n",
- " <td id=\"T_ca453_row41_col3\" class=\"data row41 col3\" >21.88</td>\n",
- " <td id=\"T_ca453_row41_col4\" class=\"data row41 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row41_col5\" class=\"data row41 col5\" >0.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_ca453_row42_col0\" class=\"data row42 col0\" >97.12</td>\n",
- " <td id=\"T_ca453_row42_col1\" class=\"data row42 col1\" >1.82</td>\n",
- " <td id=\"T_ca453_row42_col2\" class=\"data row42 col2\" >99.50</td>\n",
- " <td id=\"T_ca453_row42_col3\" class=\"data row42 col3\" >1.71</td>\n",
- " <td id=\"T_ca453_row42_col4\" class=\"data row42 col4\" >1.26</td>\n",
- " <td id=\"T_ca453_row42_col5\" class=\"data row42 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_ca453_row43_col0\" class=\"data row43 col0\" >97.29</td>\n",
- " <td id=\"T_ca453_row43_col1\" class=\"data row43 col1\" >1.86</td>\n",
- " <td id=\"T_ca453_row43_col2\" class=\"data row43 col2\" >99.43</td>\n",
- " <td id=\"T_ca453_row43_col3\" class=\"data row43 col3\" >1.85</td>\n",
- " <td id=\"T_ca453_row43_col4\" class=\"data row43 col4\" >1.19</td>\n",
- " <td id=\"T_ca453_row43_col5\" class=\"data row43 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_ca453_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_ca453_row44_col0\" class=\"data row44 col0\" >99.25</td>\n",
- " <td id=\"T_ca453_row44_col1\" class=\"data row44 col1\" >1.14</td>\n",
- " <td id=\"T_ca453_row44_col2\" class=\"data row44 col2\" >99.95</td>\n",
- " <td id=\"T_ca453_row44_col3\" class=\"data row44 col3\" >0.40</td>\n",
- " <td id=\"T_ca453_row44_col4\" class=\"data row44 col4\" >1.12</td>\n",
- " <td id=\"T_ca453_row44_col5\" class=\"data row44 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_ca453_row45_col0\" class=\"data row45 col0\" >98.74</td>\n",
- " <td id=\"T_ca453_row45_col1\" class=\"data row45 col1\" >1.67</td>\n",
- " <td id=\"T_ca453_row45_col2\" class=\"data row45 col2\" >99.90</td>\n",
- " <td id=\"T_ca453_row45_col3\" class=\"data row45 col3\" >0.58</td>\n",
- " <td id=\"T_ca453_row45_col4\" class=\"data row45 col4\" >1.14</td>\n",
- " <td id=\"T_ca453_row45_col5\" class=\"data row45 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_ca453_row46_col0\" class=\"data row46 col0\" >98.58</td>\n",
- " <td id=\"T_ca453_row46_col1\" class=\"data row46 col1\" >1.62</td>\n",
- " <td id=\"T_ca453_row46_col2\" class=\"data row46 col2\" >99.87</td>\n",
- " <td id=\"T_ca453_row46_col3\" class=\"data row46 col3\" >0.70</td>\n",
- " <td id=\"T_ca453_row46_col4\" class=\"data row46 col4\" >1.16</td>\n",
- " <td id=\"T_ca453_row46_col5\" class=\"data row46 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_ca453_row47_col0\" class=\"data row47 col0\" >80.77</td>\n",
- " <td id=\"T_ca453_row47_col1\" class=\"data row47 col1\" >37.66</td>\n",
- " <td id=\"T_ca453_row47_col2\" class=\"data row47 col2\" >57.00</td>\n",
- " <td id=\"T_ca453_row47_col3\" class=\"data row47 col3\" >49.51</td>\n",
- " <td id=\"T_ca453_row47_col4\" class=\"data row47 col4\" >1.04</td>\n",
- " <td id=\"T_ca453_row47_col5\" class=\"data row47 col5\" >0.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_ca453_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_ca453_row48_col0\" class=\"data row48 col0\" >99.16</td>\n",
- " <td id=\"T_ca453_row48_col1\" class=\"data row48 col1\" >1.21</td>\n",
- " <td id=\"T_ca453_row48_col2\" class=\"data row48 col2\" >99.72</td>\n",
- " <td id=\"T_ca453_row48_col3\" class=\"data row48 col3\" >1.44</td>\n",
- " <td id=\"T_ca453_row48_col4\" class=\"data row48 col4\" >1.12</td>\n",
- " <td id=\"T_ca453_row48_col5\" class=\"data row48 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_ca453_row49_col0\" class=\"data row49 col0\" >98.34</td>\n",
- " <td id=\"T_ca453_row49_col1\" class=\"data row49 col1\" >1.65</td>\n",
- " <td id=\"T_ca453_row49_col2\" class=\"data row49 col2\" >99.90</td>\n",
- " <td id=\"T_ca453_row49_col3\" class=\"data row49 col3\" >0.58</td>\n",
- " <td id=\"T_ca453_row49_col4\" class=\"data row49 col4\" >1.17</td>\n",
- " <td id=\"T_ca453_row49_col5\" class=\"data row49 col5\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_ca453_row50_col0\" class=\"data row50 col0\" >88.33</td>\n",
- " <td id=\"T_ca453_row50_col1\" class=\"data row50 col1\" >29.65</td>\n",
- " <td id=\"T_ca453_row50_col2\" class=\"data row50 col2\" >63.00</td>\n",
- " <td id=\"T_ca453_row50_col3\" class=\"data row50 col3\" >48.28</td>\n",
- " <td id=\"T_ca453_row50_col4\" class=\"data row50 col4\" >1.04</td>\n",
- " <td id=\"T_ca453_row50_col5\" class=\"data row50 col5\" >0.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_ca453_row51_col0\" class=\"data row51 col0\" >98.69</td>\n",
- " <td id=\"T_ca453_row51_col1\" class=\"data row51 col1\" >1.71</td>\n",
- " <td id=\"T_ca453_row51_col2\" class=\"data row51 col2\" >99.78</td>\n",
- " <td id=\"T_ca453_row51_col3\" class=\"data row51 col3\" >1.82</td>\n",
- " <td id=\"T_ca453_row51_col4\" class=\"data row51 col4\" >1.12</td>\n",
- " <td id=\"T_ca453_row51_col5\" class=\"data row51 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_ca453_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_ca453_row52_col0\" class=\"data row52 col0\" >98.99</td>\n",
- " <td id=\"T_ca453_row52_col1\" class=\"data row52 col1\" >1.49</td>\n",
- " <td id=\"T_ca453_row52_col2\" class=\"data row52 col2\" >99.85</td>\n",
- " <td id=\"T_ca453_row52_col3\" class=\"data row52 col3\" >0.91</td>\n",
- " <td id=\"T_ca453_row52_col4\" class=\"data row52 col4\" >1.12</td>\n",
- " <td id=\"T_ca453_row52_col5\" class=\"data row52 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_ca453_row53_col0\" class=\"data row53 col0\" >86.10</td>\n",
- " <td id=\"T_ca453_row53_col1\" class=\"data row53 col1\" >32.06</td>\n",
- " <td id=\"T_ca453_row53_col2\" class=\"data row53 col2\" >73.00</td>\n",
- " <td id=\"T_ca453_row53_col3\" class=\"data row53 col3\" >44.40</td>\n",
- " <td id=\"T_ca453_row53_col4\" class=\"data row53 col4\" >1.03</td>\n",
- " <td id=\"T_ca453_row53_col5\" class=\"data row53 col5\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_ca453_row54_col0\" class=\"data row54 col0\" >98.65</td>\n",
- " <td id=\"T_ca453_row54_col1\" class=\"data row54 col1\" >1.59</td>\n",
- " <td id=\"T_ca453_row54_col2\" class=\"data row54 col2\" >99.89</td>\n",
- " <td id=\"T_ca453_row54_col3\" class=\"data row54 col3\" >0.70</td>\n",
- " <td id=\"T_ca453_row54_col4\" class=\"data row54 col4\" >1.15</td>\n",
- " <td id=\"T_ca453_row54_col5\" class=\"data row54 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_ca453_row55_col0\" class=\"data row55 col0\" >98.87</td>\n",
- " <td id=\"T_ca453_row55_col1\" class=\"data row55 col1\" >1.35</td>\n",
- " <td id=\"T_ca453_row55_col2\" class=\"data row55 col2\" >99.89</td>\n",
- " <td id=\"T_ca453_row55_col3\" class=\"data row55 col3\" >0.97</td>\n",
- " <td id=\"T_ca453_row55_col4\" class=\"data row55 col4\" >1.11</td>\n",
- " <td id=\"T_ca453_row55_col5\" class=\"data row55 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_ca453_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_ca453_row56_col0\" class=\"data row56 col0\" >67.04</td>\n",
- " <td id=\"T_ca453_row56_col1\" class=\"data row56 col1\" >45.36</td>\n",
- " <td id=\"T_ca453_row56_col2\" class=\"data row56 col2\" >47.00</td>\n",
- " <td id=\"T_ca453_row56_col3\" class=\"data row56 col3\" >49.91</td>\n",
- " <td id=\"T_ca453_row56_col4\" class=\"data row56 col4\" >1.01</td>\n",
- " <td id=\"T_ca453_row56_col5\" class=\"data row56 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_ca453_row57_col0\" class=\"data row57 col0\" >98.78</td>\n",
- " <td id=\"T_ca453_row57_col1\" class=\"data row57 col1\" >1.44</td>\n",
- " <td id=\"T_ca453_row57_col2\" class=\"data row57 col2\" >99.87</td>\n",
- " <td id=\"T_ca453_row57_col3\" class=\"data row57 col3\" >0.76</td>\n",
- " <td id=\"T_ca453_row57_col4\" class=\"data row57 col4\" >1.12</td>\n",
- " <td id=\"T_ca453_row57_col5\" class=\"data row57 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_ca453_row58_col0\" class=\"data row58 col0\" >98.55</td>\n",
- " <td id=\"T_ca453_row58_col1\" class=\"data row58 col1\" >1.61</td>\n",
- " <td id=\"T_ca453_row58_col2\" class=\"data row58 col2\" >99.87</td>\n",
- " <td id=\"T_ca453_row58_col3\" class=\"data row58 col3\" >0.76</td>\n",
- " <td id=\"T_ca453_row58_col4\" class=\"data row58 col4\" >1.14</td>\n",
- " <td id=\"T_ca453_row58_col5\" class=\"data row58 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_ca453_row59_col0\" class=\"data row59 col0\" >99.03</td>\n",
- " <td id=\"T_ca453_row59_col1\" class=\"data row59 col1\" >1.37</td>\n",
- " <td id=\"T_ca453_row59_col2\" class=\"data row59 col2\" >99.84</td>\n",
- " <td id=\"T_ca453_row59_col3\" class=\"data row59 col3\" >0.96</td>\n",
- " <td id=\"T_ca453_row59_col4\" class=\"data row59 col4\" >1.10</td>\n",
- " <td id=\"T_ca453_row59_col5\" class=\"data row59 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_ca453_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_ca453_row60_col0\" class=\"data row60 col0\" >99.52</td>\n",
- " <td id=\"T_ca453_row60_col1\" class=\"data row60 col1\" >1.21</td>\n",
- " <td id=\"T_ca453_row60_col2\" class=\"data row60 col2\" >99.95</td>\n",
- " <td id=\"T_ca453_row60_col3\" class=\"data row60 col3\" >0.47</td>\n",
- " <td id=\"T_ca453_row60_col4\" class=\"data row60 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row60_col5\" class=\"data row60 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_ca453_row61_col0\" class=\"data row61 col0\" >99.29</td>\n",
- " <td id=\"T_ca453_row61_col1\" class=\"data row61 col1\" >1.65</td>\n",
- " <td id=\"T_ca453_row61_col2\" class=\"data row61 col2\" >100.00</td>\n",
- " <td id=\"T_ca453_row61_col3\" class=\"data row61 col3\" >0.00</td>\n",
- " <td id=\"T_ca453_row61_col4\" class=\"data row61 col4\" >1.09</td>\n",
- " <td id=\"T_ca453_row61_col5\" class=\"data row61 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_ca453_row62_col0\" class=\"data row62 col0\" >99.31</td>\n",
- " <td id=\"T_ca453_row62_col1\" class=\"data row62 col1\" >1.46</td>\n",
- " <td id=\"T_ca453_row62_col2\" class=\"data row62 col2\" >100.00</td>\n",
- " <td id=\"T_ca453_row62_col3\" class=\"data row62 col3\" >0.00</td>\n",
- " <td id=\"T_ca453_row62_col4\" class=\"data row62 col4\" >1.07</td>\n",
- " <td id=\"T_ca453_row62_col5\" class=\"data row62 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_ca453_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_ca453_row63_col0\" class=\"data row63 col0\" >99.59</td>\n",
- " <td id=\"T_ca453_row63_col1\" class=\"data row63 col1\" >1.02</td>\n",
- " <td id=\"T_ca453_row63_col2\" class=\"data row63 col2\" >99.99</td>\n",
- " <td id=\"T_ca453_row63_col3\" class=\"data row63 col3\" >0.10</td>\n",
- " <td id=\"T_ca453_row63_col4\" class=\"data row63 col4\" >1.06</td>\n",
- " <td id=\"T_ca453_row63_col5\" class=\"data row63 col5\" >0.06</td>\n",
+ " <th id=\"T_fbf73_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_fbf73_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_fbf73_row0_col0\" class=\"data row0 col0\" >99.52</td>\n",
+ " <td id=\"T_fbf73_row0_col1\" class=\"data row0 col1\" >1.21</td>\n",
+ " <td id=\"T_fbf73_row0_col2\" class=\"data row0 col2\" >99.95</td>\n",
+ " <td id=\"T_fbf73_row0_col3\" class=\"data row0 col3\" >0.47</td>\n",
+ " <td id=\"T_fbf73_row0_col4\" class=\"data row0 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row0_col5\" class=\"data row0 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_fbf73_row1_col0\" class=\"data row1 col0\" >99.29</td>\n",
+ " <td id=\"T_fbf73_row1_col1\" class=\"data row1 col1\" >1.65</td>\n",
+ " <td id=\"T_fbf73_row1_col2\" class=\"data row1 col2\" >100.00</td>\n",
+ " <td id=\"T_fbf73_row1_col3\" class=\"data row1 col3\" >0.00</td>\n",
+ " <td id=\"T_fbf73_row1_col4\" class=\"data row1 col4\" >1.09</td>\n",
+ " <td id=\"T_fbf73_row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_fbf73_row2_col0\" class=\"data row2 col0\" >99.31</td>\n",
+ " <td id=\"T_fbf73_row2_col1\" class=\"data row2 col1\" >1.46</td>\n",
+ " <td id=\"T_fbf73_row2_col2\" class=\"data row2 col2\" >100.00</td>\n",
+ " <td id=\"T_fbf73_row2_col3\" class=\"data row2 col3\" >0.00</td>\n",
+ " <td id=\"T_fbf73_row2_col4\" class=\"data row2 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_fbf73_row3_col0\" class=\"data row3 col0\" >99.59</td>\n",
+ " <td id=\"T_fbf73_row3_col1\" class=\"data row3 col1\" >1.02</td>\n",
+ " <td id=\"T_fbf73_row3_col2\" class=\"data row3 col2\" >99.99</td>\n",
+ " <td id=\"T_fbf73_row3_col3\" class=\"data row3 col3\" >0.10</td>\n",
+ " <td id=\"T_fbf73_row3_col4\" class=\"data row3 col4\" >1.06</td>\n",
+ " <td id=\"T_fbf73_row3_col5\" class=\"data row3 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_fbf73_row4_col0\" class=\"data row4 col0\" >94.37</td>\n",
+ " <td id=\"T_fbf73_row4_col1\" class=\"data row4 col1\" >2.87</td>\n",
+ " <td id=\"T_fbf73_row4_col2\" class=\"data row4 col2\" >97.46</td>\n",
+ " <td id=\"T_fbf73_row4_col3\" class=\"data row4 col3\" >3.33</td>\n",
+ " <td id=\"T_fbf73_row4_col4\" class=\"data row4 col4\" >1.39</td>\n",
+ " <td id=\"T_fbf73_row4_col5\" class=\"data row4 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_fbf73_row5_col0\" class=\"data row5 col0\" >96.54</td>\n",
+ " <td id=\"T_fbf73_row5_col1\" class=\"data row5 col1\" >2.94</td>\n",
+ " <td id=\"T_fbf73_row5_col2\" class=\"data row5 col2\" >99.97</td>\n",
+ " <td id=\"T_fbf73_row5_col3\" class=\"data row5 col3\" >0.29</td>\n",
+ " <td id=\"T_fbf73_row5_col4\" class=\"data row5 col4\" >1.09</td>\n",
+ " <td id=\"T_fbf73_row5_col5\" class=\"data row5 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_fbf73_row6_col0\" class=\"data row6 col0\" >97.64</td>\n",
+ " <td id=\"T_fbf73_row6_col1\" class=\"data row6 col1\" >2.49</td>\n",
+ " <td id=\"T_fbf73_row6_col2\" class=\"data row6 col2\" >99.80</td>\n",
+ " <td id=\"T_fbf73_row6_col3\" class=\"data row6 col3\" >1.29</td>\n",
+ " <td id=\"T_fbf73_row6_col4\" class=\"data row6 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row6_col5\" class=\"data row6 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_fbf73_row7_col0\" class=\"data row7 col0\" >97.87</td>\n",
+ " <td id=\"T_fbf73_row7_col1\" class=\"data row7 col1\" >2.59</td>\n",
+ " <td id=\"T_fbf73_row7_col2\" class=\"data row7 col2\" >99.88</td>\n",
+ " <td id=\"T_fbf73_row7_col3\" class=\"data row7 col3\" >0.84</td>\n",
+ " <td id=\"T_fbf73_row7_col4\" class=\"data row7 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_fbf73_row8_col0\" class=\"data row8 col0\" >96.85</td>\n",
+ " <td id=\"T_fbf73_row8_col1\" class=\"data row8 col1\" >4.36</td>\n",
+ " <td id=\"T_fbf73_row8_col2\" class=\"data row8 col2\" >99.95</td>\n",
+ " <td id=\"T_fbf73_row8_col3\" class=\"data row8 col3\" >0.49</td>\n",
+ " <td id=\"T_fbf73_row8_col4\" class=\"data row8 col4\" >1.03</td>\n",
+ " <td id=\"T_fbf73_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_fbf73_row9_col0\" class=\"data row9 col0\" >92.95</td>\n",
+ " <td id=\"T_fbf73_row9_col1\" class=\"data row9 col1\" >2.76</td>\n",
+ " <td id=\"T_fbf73_row9_col2\" class=\"data row9 col2\" >96.68</td>\n",
+ " <td id=\"T_fbf73_row9_col3\" class=\"data row9 col3\" >3.35</td>\n",
+ " <td id=\"T_fbf73_row9_col4\" class=\"data row9 col4\" >1.49</td>\n",
+ " <td id=\"T_fbf73_row9_col5\" class=\"data row9 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_fbf73_row10_col0\" class=\"data row10 col0\" >97.54</td>\n",
+ " <td id=\"T_fbf73_row10_col1\" class=\"data row10 col1\" >2.63</td>\n",
+ " <td id=\"T_fbf73_row10_col2\" class=\"data row10 col2\" >99.81</td>\n",
+ " <td id=\"T_fbf73_row10_col3\" class=\"data row10 col3\" >1.56</td>\n",
+ " <td id=\"T_fbf73_row10_col4\" class=\"data row10 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row10_col5\" class=\"data row10 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_fbf73_row11_col0\" class=\"data row11 col0\" >98.22</td>\n",
+ " <td id=\"T_fbf73_row11_col1\" class=\"data row11 col1\" >2.03</td>\n",
+ " <td id=\"T_fbf73_row11_col2\" class=\"data row11 col2\" >99.42</td>\n",
+ " <td id=\"T_fbf73_row11_col3\" class=\"data row11 col3\" >4.09</td>\n",
+ " <td id=\"T_fbf73_row11_col4\" class=\"data row11 col4\" >1.05</td>\n",
+ " <td id=\"T_fbf73_row11_col5\" class=\"data row11 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_fbf73_row12_col0\" class=\"data row12 col0\" >96.55</td>\n",
+ " <td id=\"T_fbf73_row12_col1\" class=\"data row12 col1\" >3.97</td>\n",
+ " <td id=\"T_fbf73_row12_col2\" class=\"data row12 col2\" >98.82</td>\n",
+ " <td id=\"T_fbf73_row12_col3\" class=\"data row12 col3\" >10.03</td>\n",
+ " <td id=\"T_fbf73_row12_col4\" class=\"data row12 col4\" >1.08</td>\n",
+ " <td id=\"T_fbf73_row12_col5\" class=\"data row12 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_fbf73_row13_col0\" class=\"data row13 col0\" >96.19</td>\n",
+ " <td id=\"T_fbf73_row13_col1\" class=\"data row13 col1\" >3.13</td>\n",
+ " <td id=\"T_fbf73_row13_col2\" class=\"data row13 col2\" >99.64</td>\n",
+ " <td id=\"T_fbf73_row13_col3\" class=\"data row13 col3\" >2.19</td>\n",
+ " <td id=\"T_fbf73_row13_col4\" class=\"data row13 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row13_col5\" class=\"data row13 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_fbf73_row14_col0\" class=\"data row14 col0\" >93.50</td>\n",
+ " <td id=\"T_fbf73_row14_col1\" class=\"data row14 col1\" >2.46</td>\n",
+ " <td id=\"T_fbf73_row14_col2\" class=\"data row14 col2\" >97.45</td>\n",
+ " <td id=\"T_fbf73_row14_col3\" class=\"data row14 col3\" >2.90</td>\n",
+ " <td id=\"T_fbf73_row14_col4\" class=\"data row14 col4\" >1.52</td>\n",
+ " <td id=\"T_fbf73_row14_col5\" class=\"data row14 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_fbf73_row15_col0\" class=\"data row15 col0\" >97.64</td>\n",
+ " <td id=\"T_fbf73_row15_col1\" class=\"data row15 col1\" >3.79</td>\n",
+ " <td id=\"T_fbf73_row15_col2\" class=\"data row15 col2\" >98.59</td>\n",
+ " <td id=\"T_fbf73_row15_col3\" class=\"data row15 col3\" >10.34</td>\n",
+ " <td id=\"T_fbf73_row15_col4\" class=\"data row15 col4\" >1.05</td>\n",
+ " <td id=\"T_fbf73_row15_col5\" class=\"data row15 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_fbf73_row16_col0\" class=\"data row16 col0\" >95.50</td>\n",
+ " <td id=\"T_fbf73_row16_col1\" class=\"data row16 col1\" >10.77</td>\n",
+ " <td id=\"T_fbf73_row16_col2\" class=\"data row16 col2\" >99.55</td>\n",
+ " <td id=\"T_fbf73_row16_col3\" class=\"data row16 col3\" >3.25</td>\n",
+ " <td id=\"T_fbf73_row16_col4\" class=\"data row16 col4\" >1.05</td>\n",
+ " <td id=\"T_fbf73_row16_col5\" class=\"data row16 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_fbf73_row17_col0\" class=\"data row17 col0\" >96.00</td>\n",
+ " <td id=\"T_fbf73_row17_col1\" class=\"data row17 col1\" >3.92</td>\n",
+ " <td id=\"T_fbf73_row17_col2\" class=\"data row17 col2\" >99.79</td>\n",
+ " <td id=\"T_fbf73_row17_col3\" class=\"data row17 col3\" >1.24</td>\n",
+ " <td id=\"T_fbf73_row17_col4\" class=\"data row17 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row17_col5\" class=\"data row17 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_fbf73_row18_col0\" class=\"data row18 col0\" >97.53</td>\n",
+ " <td id=\"T_fbf73_row18_col1\" class=\"data row18 col1\" >2.44</td>\n",
+ " <td id=\"T_fbf73_row18_col2\" class=\"data row18 col2\" >99.89</td>\n",
+ " <td id=\"T_fbf73_row18_col3\" class=\"data row18 col3\" >1.12</td>\n",
+ " <td id=\"T_fbf73_row18_col4\" class=\"data row18 col4\" >1.09</td>\n",
+ " <td id=\"T_fbf73_row18_col5\" class=\"data row18 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_fbf73_row19_col0\" class=\"data row19 col0\" >93.69</td>\n",
+ " <td id=\"T_fbf73_row19_col1\" class=\"data row19 col1\" >2.47</td>\n",
+ " <td id=\"T_fbf73_row19_col2\" class=\"data row19 col2\" >98.08</td>\n",
+ " <td id=\"T_fbf73_row19_col3\" class=\"data row19 col3\" >1.80</td>\n",
+ " <td id=\"T_fbf73_row19_col4\" class=\"data row19 col4\" >1.45</td>\n",
+ " <td id=\"T_fbf73_row19_col5\" class=\"data row19 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_fbf73_row20_col0\" class=\"data row20 col0\" >97.60</td>\n",
+ " <td id=\"T_fbf73_row20_col1\" class=\"data row20 col1\" >1.87</td>\n",
+ " <td id=\"T_fbf73_row20_col2\" class=\"data row20 col2\" >99.47</td>\n",
+ " <td id=\"T_fbf73_row20_col3\" class=\"data row20 col3\" >1.94</td>\n",
+ " <td id=\"T_fbf73_row20_col4\" class=\"data row20 col4\" >1.21</td>\n",
+ " <td id=\"T_fbf73_row20_col5\" class=\"data row20 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_fbf73_row21_col0\" class=\"data row21 col0\" >96.09</td>\n",
+ " <td id=\"T_fbf73_row21_col1\" class=\"data row21 col1\" >2.39</td>\n",
+ " <td id=\"T_fbf73_row21_col2\" class=\"data row21 col2\" >98.83</td>\n",
+ " <td id=\"T_fbf73_row21_col3\" class=\"data row21 col3\" >2.92</td>\n",
+ " <td id=\"T_fbf73_row21_col4\" class=\"data row21 col4\" >1.32</td>\n",
+ " <td id=\"T_fbf73_row21_col5\" class=\"data row21 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_fbf73_row22_col0\" class=\"data row22 col0\" >97.65</td>\n",
+ " <td id=\"T_fbf73_row22_col1\" class=\"data row22 col1\" >3.77</td>\n",
+ " <td id=\"T_fbf73_row22_col2\" class=\"data row22 col2\" >98.00</td>\n",
+ " <td id=\"T_fbf73_row22_col3\" class=\"data row22 col3\" >14.00</td>\n",
+ " <td id=\"T_fbf73_row22_col4\" class=\"data row22 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row22_col5\" class=\"data row22 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_fbf73_row23_col0\" class=\"data row23 col0\" >98.83</td>\n",
+ " <td id=\"T_fbf73_row23_col1\" class=\"data row23 col1\" >2.60</td>\n",
+ " <td id=\"T_fbf73_row23_col2\" class=\"data row23 col2\" >95.90</td>\n",
+ " <td id=\"T_fbf73_row23_col3\" class=\"data row23 col3\" >19.60</td>\n",
+ " <td id=\"T_fbf73_row23_col4\" class=\"data row23 col4\" >1.04</td>\n",
+ " <td id=\"T_fbf73_row23_col5\" class=\"data row23 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_fbf73_row24_col0\" class=\"data row24 col0\" >97.63</td>\n",
+ " <td id=\"T_fbf73_row24_col1\" class=\"data row24 col1\" >2.13</td>\n",
+ " <td id=\"T_fbf73_row24_col2\" class=\"data row24 col2\" >99.49</td>\n",
+ " <td id=\"T_fbf73_row24_col3\" class=\"data row24 col3\" >1.31</td>\n",
+ " <td id=\"T_fbf73_row24_col4\" class=\"data row24 col4\" >1.21</td>\n",
+ " <td id=\"T_fbf73_row24_col5\" class=\"data row24 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_fbf73_row25_col0\" class=\"data row25 col0\" >97.75</td>\n",
+ " <td id=\"T_fbf73_row25_col1\" class=\"data row25 col1\" >3.70</td>\n",
+ " <td id=\"T_fbf73_row25_col2\" class=\"data row25 col2\" >95.92</td>\n",
+ " <td id=\"T_fbf73_row25_col3\" class=\"data row25 col3\" >19.60</td>\n",
+ " <td id=\"T_fbf73_row25_col4\" class=\"data row25 col4\" >1.04</td>\n",
+ " <td id=\"T_fbf73_row25_col5\" class=\"data row25 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_fbf73_row26_col0\" class=\"data row26 col0\" >96.57</td>\n",
+ " <td id=\"T_fbf73_row26_col1\" class=\"data row26 col1\" >1.90</td>\n",
+ " <td id=\"T_fbf73_row26_col2\" class=\"data row26 col2\" >99.41</td>\n",
+ " <td id=\"T_fbf73_row26_col3\" class=\"data row26 col3\" >1.37</td>\n",
+ " <td id=\"T_fbf73_row26_col4\" class=\"data row26 col4\" >1.29</td>\n",
+ " <td id=\"T_fbf73_row26_col5\" class=\"data row26 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_fbf73_row27_col0\" class=\"data row27 col0\" >97.42</td>\n",
+ " <td id=\"T_fbf73_row27_col1\" class=\"data row27 col1\" >7.08</td>\n",
+ " <td id=\"T_fbf73_row27_col2\" class=\"data row27 col2\" >97.64</td>\n",
+ " <td id=\"T_fbf73_row27_col3\" class=\"data row27 col3\" >14.41</td>\n",
+ " <td id=\"T_fbf73_row27_col4\" class=\"data row27 col4\" >1.03</td>\n",
+ " <td id=\"T_fbf73_row27_col5\" class=\"data row27 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_fbf73_row28_col0\" class=\"data row28 col0\" >97.41</td>\n",
+ " <td id=\"T_fbf73_row28_col1\" class=\"data row28 col1\" >2.33</td>\n",
+ " <td id=\"T_fbf73_row28_col2\" class=\"data row28 col2\" >99.45</td>\n",
+ " <td id=\"T_fbf73_row28_col3\" class=\"data row28 col3\" >1.56</td>\n",
+ " <td id=\"T_fbf73_row28_col4\" class=\"data row28 col4\" >1.20</td>\n",
+ " <td id=\"T_fbf73_row28_col5\" class=\"data row28 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_fbf73_row29_col0\" class=\"data row29 col0\" >96.84</td>\n",
+ " <td id=\"T_fbf73_row29_col1\" class=\"data row29 col1\" >5.44</td>\n",
+ " <td id=\"T_fbf73_row29_col2\" class=\"data row29 col2\" >96.82</td>\n",
+ " <td id=\"T_fbf73_row29_col3\" class=\"data row29 col3\" >17.08</td>\n",
+ " <td id=\"T_fbf73_row29_col4\" class=\"data row29 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row29_col5\" class=\"data row29 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_fbf73_row30_col0\" class=\"data row30 col0\" >97.85</td>\n",
+ " <td id=\"T_fbf73_row30_col1\" class=\"data row30 col1\" >2.77</td>\n",
+ " <td id=\"T_fbf73_row30_col2\" class=\"data row30 col2\" >98.00</td>\n",
+ " <td id=\"T_fbf73_row30_col3\" class=\"data row30 col3\" >14.00</td>\n",
+ " <td id=\"T_fbf73_row30_col4\" class=\"data row30 col4\" >1.06</td>\n",
+ " <td id=\"T_fbf73_row30_col5\" class=\"data row30 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_fbf73_row31_col0\" class=\"data row31 col0\" >96.46</td>\n",
+ " <td id=\"T_fbf73_row31_col1\" class=\"data row31 col1\" >2.42</td>\n",
+ " <td id=\"T_fbf73_row31_col2\" class=\"data row31 col2\" >98.81</td>\n",
+ " <td id=\"T_fbf73_row31_col3\" class=\"data row31 col3\" >2.04</td>\n",
+ " <td id=\"T_fbf73_row31_col4\" class=\"data row31 col4\" >1.27</td>\n",
+ " <td id=\"T_fbf73_row31_col5\" class=\"data row31 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_fbf73_row32_col0\" class=\"data row32 col0\" >97.13</td>\n",
+ " <td id=\"T_fbf73_row32_col1\" class=\"data row32 col1\" >7.69</td>\n",
+ " <td id=\"T_fbf73_row32_col2\" class=\"data row32 col2\" >88.00</td>\n",
+ " <td id=\"T_fbf73_row32_col3\" class=\"data row32 col3\" >32.50</td>\n",
+ " <td id=\"T_fbf73_row32_col4\" class=\"data row32 col4\" >1.01</td>\n",
+ " <td id=\"T_fbf73_row32_col5\" class=\"data row32 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_fbf73_row33_col0\" class=\"data row33 col0\" >96.88</td>\n",
+ " <td id=\"T_fbf73_row33_col1\" class=\"data row33 col1\" >1.89</td>\n",
+ " <td id=\"T_fbf73_row33_col2\" class=\"data row33 col2\" >99.62</td>\n",
+ " <td id=\"T_fbf73_row33_col3\" class=\"data row33 col3\" >1.03</td>\n",
+ " <td id=\"T_fbf73_row33_col4\" class=\"data row33 col4\" >1.24</td>\n",
+ " <td id=\"T_fbf73_row33_col5\" class=\"data row33 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_fbf73_row34_col0\" class=\"data row34 col0\" >97.41</td>\n",
+ " <td id=\"T_fbf73_row34_col1\" class=\"data row34 col1\" >1.81</td>\n",
+ " <td id=\"T_fbf73_row34_col2\" class=\"data row34 col2\" >99.37</td>\n",
+ " <td id=\"T_fbf73_row34_col3\" class=\"data row34 col3\" >2.05</td>\n",
+ " <td id=\"T_fbf73_row34_col4\" class=\"data row34 col4\" >1.25</td>\n",
+ " <td id=\"T_fbf73_row34_col5\" class=\"data row34 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_fbf73_row35_col0\" class=\"data row35 col0\" >96.44</td>\n",
+ " <td id=\"T_fbf73_row35_col1\" class=\"data row35 col1\" >14.01</td>\n",
+ " <td id=\"T_fbf73_row35_col2\" class=\"data row35 col2\" >96.00</td>\n",
+ " <td id=\"T_fbf73_row35_col3\" class=\"data row35 col3\" >19.60</td>\n",
+ " <td id=\"T_fbf73_row35_col4\" class=\"data row35 col4\" >1.05</td>\n",
+ " <td id=\"T_fbf73_row35_col5\" class=\"data row35 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_fbf73_row36_col0\" class=\"data row36 col0\" >93.33</td>\n",
+ " <td id=\"T_fbf73_row36_col1\" class=\"data row36 col1\" >20.56</td>\n",
+ " <td id=\"T_fbf73_row36_col2\" class=\"data row36 col2\" >86.00</td>\n",
+ " <td id=\"T_fbf73_row36_col3\" class=\"data row36 col3\" >34.70</td>\n",
+ " <td id=\"T_fbf73_row36_col4\" class=\"data row36 col4\" >1.00</td>\n",
+ " <td id=\"T_fbf73_row36_col5\" class=\"data row36 col5\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_fbf73_row37_col0\" class=\"data row37 col0\" >96.59</td>\n",
+ " <td id=\"T_fbf73_row37_col1\" class=\"data row37 col1\" >1.95</td>\n",
+ " <td id=\"T_fbf73_row37_col2\" class=\"data row37 col2\" >99.57</td>\n",
+ " <td id=\"T_fbf73_row37_col3\" class=\"data row37 col3\" >1.16</td>\n",
+ " <td id=\"T_fbf73_row37_col4\" class=\"data row37 col4\" >1.24</td>\n",
+ " <td id=\"T_fbf73_row37_col5\" class=\"data row37 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_fbf73_row38_col0\" class=\"data row38 col0\" >98.05</td>\n",
+ " <td id=\"T_fbf73_row38_col1\" class=\"data row38 col1\" >3.17</td>\n",
+ " <td id=\"T_fbf73_row38_col2\" class=\"data row38 col2\" >92.57</td>\n",
+ " <td id=\"T_fbf73_row38_col3\" class=\"data row38 col3\" >25.59</td>\n",
+ " <td id=\"T_fbf73_row38_col4\" class=\"data row38 col4\" >1.05</td>\n",
+ " <td id=\"T_fbf73_row38_col5\" class=\"data row38 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_fbf73_row39_col0\" class=\"data row39 col0\" >97.40</td>\n",
+ " <td id=\"T_fbf73_row39_col1\" class=\"data row39 col1\" >1.91</td>\n",
+ " <td id=\"T_fbf73_row39_col2\" class=\"data row39 col2\" >99.52</td>\n",
+ " <td id=\"T_fbf73_row39_col3\" class=\"data row39 col3\" >1.83</td>\n",
+ " <td id=\"T_fbf73_row39_col4\" class=\"data row39 col4\" >1.19</td>\n",
+ " <td id=\"T_fbf73_row39_col5\" class=\"data row39 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_fbf73_row40_col0\" class=\"data row40 col0\" >95.94</td>\n",
+ " <td id=\"T_fbf73_row40_col1\" class=\"data row40 col1\" >14.26</td>\n",
+ " <td id=\"T_fbf73_row40_col2\" class=\"data row40 col2\" >83.00</td>\n",
+ " <td id=\"T_fbf73_row40_col3\" class=\"data row40 col3\" >37.56</td>\n",
+ " <td id=\"T_fbf73_row40_col4\" class=\"data row40 col4\" >1.02</td>\n",
+ " <td id=\"T_fbf73_row40_col5\" class=\"data row40 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_fbf73_row41_col0\" class=\"data row41 col0\" >96.52</td>\n",
+ " <td id=\"T_fbf73_row41_col1\" class=\"data row41 col1\" >4.94</td>\n",
+ " <td id=\"T_fbf73_row41_col2\" class=\"data row41 col2\" >94.75</td>\n",
+ " <td id=\"T_fbf73_row41_col3\" class=\"data row41 col3\" >21.88</td>\n",
+ " <td id=\"T_fbf73_row41_col4\" class=\"data row41 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row41_col5\" class=\"data row41 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_fbf73_row42_col0\" class=\"data row42 col0\" >97.12</td>\n",
+ " <td id=\"T_fbf73_row42_col1\" class=\"data row42 col1\" >1.82</td>\n",
+ " <td id=\"T_fbf73_row42_col2\" class=\"data row42 col2\" >99.50</td>\n",
+ " <td id=\"T_fbf73_row42_col3\" class=\"data row42 col3\" >1.71</td>\n",
+ " <td id=\"T_fbf73_row42_col4\" class=\"data row42 col4\" >1.26</td>\n",
+ " <td id=\"T_fbf73_row42_col5\" class=\"data row42 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_fbf73_row43_col0\" class=\"data row43 col0\" >97.29</td>\n",
+ " <td id=\"T_fbf73_row43_col1\" class=\"data row43 col1\" >1.86</td>\n",
+ " <td id=\"T_fbf73_row43_col2\" class=\"data row43 col2\" >99.43</td>\n",
+ " <td id=\"T_fbf73_row43_col3\" class=\"data row43 col3\" >1.85</td>\n",
+ " <td id=\"T_fbf73_row43_col4\" class=\"data row43 col4\" >1.19</td>\n",
+ " <td id=\"T_fbf73_row43_col5\" class=\"data row43 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_fbf73_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_fbf73_row44_col0\" class=\"data row44 col0\" >99.25</td>\n",
+ " <td id=\"T_fbf73_row44_col1\" class=\"data row44 col1\" >1.14</td>\n",
+ " <td id=\"T_fbf73_row44_col2\" class=\"data row44 col2\" >99.95</td>\n",
+ " <td id=\"T_fbf73_row44_col3\" class=\"data row44 col3\" >0.40</td>\n",
+ " <td id=\"T_fbf73_row44_col4\" class=\"data row44 col4\" >1.12</td>\n",
+ " <td id=\"T_fbf73_row44_col5\" class=\"data row44 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_fbf73_row45_col0\" class=\"data row45 col0\" >98.74</td>\n",
+ " <td id=\"T_fbf73_row45_col1\" class=\"data row45 col1\" >1.67</td>\n",
+ " <td id=\"T_fbf73_row45_col2\" class=\"data row45 col2\" >99.90</td>\n",
+ " <td id=\"T_fbf73_row45_col3\" class=\"data row45 col3\" >0.58</td>\n",
+ " <td id=\"T_fbf73_row45_col4\" class=\"data row45 col4\" >1.14</td>\n",
+ " <td id=\"T_fbf73_row45_col5\" class=\"data row45 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_fbf73_row46_col0\" class=\"data row46 col0\" >98.58</td>\n",
+ " <td id=\"T_fbf73_row46_col1\" class=\"data row46 col1\" >1.62</td>\n",
+ " <td id=\"T_fbf73_row46_col2\" class=\"data row46 col2\" >99.87</td>\n",
+ " <td id=\"T_fbf73_row46_col3\" class=\"data row46 col3\" >0.70</td>\n",
+ " <td id=\"T_fbf73_row46_col4\" class=\"data row46 col4\" >1.16</td>\n",
+ " <td id=\"T_fbf73_row46_col5\" class=\"data row46 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_fbf73_row47_col0\" class=\"data row47 col0\" >80.77</td>\n",
+ " <td id=\"T_fbf73_row47_col1\" class=\"data row47 col1\" >37.66</td>\n",
+ " <td id=\"T_fbf73_row47_col2\" class=\"data row47 col2\" >57.00</td>\n",
+ " <td id=\"T_fbf73_row47_col3\" class=\"data row47 col3\" >49.51</td>\n",
+ " <td id=\"T_fbf73_row47_col4\" class=\"data row47 col4\" >1.04</td>\n",
+ " <td id=\"T_fbf73_row47_col5\" class=\"data row47 col5\" >0.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_fbf73_row48_col0\" class=\"data row48 col0\" >99.16</td>\n",
+ " <td id=\"T_fbf73_row48_col1\" class=\"data row48 col1\" >1.21</td>\n",
+ " <td id=\"T_fbf73_row48_col2\" class=\"data row48 col2\" >99.72</td>\n",
+ " <td id=\"T_fbf73_row48_col3\" class=\"data row48 col3\" >1.44</td>\n",
+ " <td id=\"T_fbf73_row48_col4\" class=\"data row48 col4\" >1.12</td>\n",
+ " <td id=\"T_fbf73_row48_col5\" class=\"data row48 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_fbf73_row49_col0\" class=\"data row49 col0\" >98.34</td>\n",
+ " <td id=\"T_fbf73_row49_col1\" class=\"data row49 col1\" >1.65</td>\n",
+ " <td id=\"T_fbf73_row49_col2\" class=\"data row49 col2\" >99.90</td>\n",
+ " <td id=\"T_fbf73_row49_col3\" class=\"data row49 col3\" >0.58</td>\n",
+ " <td id=\"T_fbf73_row49_col4\" class=\"data row49 col4\" >1.17</td>\n",
+ " <td id=\"T_fbf73_row49_col5\" class=\"data row49 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_fbf73_row50_col0\" class=\"data row50 col0\" >88.33</td>\n",
+ " <td id=\"T_fbf73_row50_col1\" class=\"data row50 col1\" >29.65</td>\n",
+ " <td id=\"T_fbf73_row50_col2\" class=\"data row50 col2\" >63.00</td>\n",
+ " <td id=\"T_fbf73_row50_col3\" class=\"data row50 col3\" >48.28</td>\n",
+ " <td id=\"T_fbf73_row50_col4\" class=\"data row50 col4\" >1.04</td>\n",
+ " <td id=\"T_fbf73_row50_col5\" class=\"data row50 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_fbf73_row51_col0\" class=\"data row51 col0\" >98.69</td>\n",
+ " <td id=\"T_fbf73_row51_col1\" class=\"data row51 col1\" >1.71</td>\n",
+ " <td id=\"T_fbf73_row51_col2\" class=\"data row51 col2\" >99.78</td>\n",
+ " <td id=\"T_fbf73_row51_col3\" class=\"data row51 col3\" >1.82</td>\n",
+ " <td id=\"T_fbf73_row51_col4\" class=\"data row51 col4\" >1.12</td>\n",
+ " <td id=\"T_fbf73_row51_col5\" class=\"data row51 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_fbf73_row52_col0\" class=\"data row52 col0\" >98.99</td>\n",
+ " <td id=\"T_fbf73_row52_col1\" class=\"data row52 col1\" >1.49</td>\n",
+ " <td id=\"T_fbf73_row52_col2\" class=\"data row52 col2\" >99.85</td>\n",
+ " <td id=\"T_fbf73_row52_col3\" class=\"data row52 col3\" >0.91</td>\n",
+ " <td id=\"T_fbf73_row52_col4\" class=\"data row52 col4\" >1.12</td>\n",
+ " <td id=\"T_fbf73_row52_col5\" class=\"data row52 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_fbf73_row53_col0\" class=\"data row53 col0\" >86.10</td>\n",
+ " <td id=\"T_fbf73_row53_col1\" class=\"data row53 col1\" >32.06</td>\n",
+ " <td id=\"T_fbf73_row53_col2\" class=\"data row53 col2\" >73.00</td>\n",
+ " <td id=\"T_fbf73_row53_col3\" class=\"data row53 col3\" >44.40</td>\n",
+ " <td id=\"T_fbf73_row53_col4\" class=\"data row53 col4\" >1.03</td>\n",
+ " <td id=\"T_fbf73_row53_col5\" class=\"data row53 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_fbf73_row54_col0\" class=\"data row54 col0\" >98.65</td>\n",
+ " <td id=\"T_fbf73_row54_col1\" class=\"data row54 col1\" >1.59</td>\n",
+ " <td id=\"T_fbf73_row54_col2\" class=\"data row54 col2\" >99.89</td>\n",
+ " <td id=\"T_fbf73_row54_col3\" class=\"data row54 col3\" >0.70</td>\n",
+ " <td id=\"T_fbf73_row54_col4\" class=\"data row54 col4\" >1.15</td>\n",
+ " <td id=\"T_fbf73_row54_col5\" class=\"data row54 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_fbf73_row55_col0\" class=\"data row55 col0\" >98.87</td>\n",
+ " <td id=\"T_fbf73_row55_col1\" class=\"data row55 col1\" >1.35</td>\n",
+ " <td id=\"T_fbf73_row55_col2\" class=\"data row55 col2\" >99.89</td>\n",
+ " <td id=\"T_fbf73_row55_col3\" class=\"data row55 col3\" >0.97</td>\n",
+ " <td id=\"T_fbf73_row55_col4\" class=\"data row55 col4\" >1.11</td>\n",
+ " <td id=\"T_fbf73_row55_col5\" class=\"data row55 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_fbf73_row56_col0\" class=\"data row56 col0\" >67.04</td>\n",
+ " <td id=\"T_fbf73_row56_col1\" class=\"data row56 col1\" >45.36</td>\n",
+ " <td id=\"T_fbf73_row56_col2\" class=\"data row56 col2\" >47.00</td>\n",
+ " <td id=\"T_fbf73_row56_col3\" class=\"data row56 col3\" >49.91</td>\n",
+ " <td id=\"T_fbf73_row56_col4\" class=\"data row56 col4\" >1.01</td>\n",
+ " <td id=\"T_fbf73_row56_col5\" class=\"data row56 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_fbf73_row57_col0\" class=\"data row57 col0\" >98.78</td>\n",
+ " <td id=\"T_fbf73_row57_col1\" class=\"data row57 col1\" >1.44</td>\n",
+ " <td id=\"T_fbf73_row57_col2\" class=\"data row57 col2\" >99.87</td>\n",
+ " <td id=\"T_fbf73_row57_col3\" class=\"data row57 col3\" >0.76</td>\n",
+ " <td id=\"T_fbf73_row57_col4\" class=\"data row57 col4\" >1.12</td>\n",
+ " <td id=\"T_fbf73_row57_col5\" class=\"data row57 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_fbf73_row58_col0\" class=\"data row58 col0\" >98.55</td>\n",
+ " <td id=\"T_fbf73_row58_col1\" class=\"data row58 col1\" >1.61</td>\n",
+ " <td id=\"T_fbf73_row58_col2\" class=\"data row58 col2\" >99.87</td>\n",
+ " <td id=\"T_fbf73_row58_col3\" class=\"data row58 col3\" >0.76</td>\n",
+ " <td id=\"T_fbf73_row58_col4\" class=\"data row58 col4\" >1.14</td>\n",
+ " <td id=\"T_fbf73_row58_col5\" class=\"data row58 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_fbf73_row59_col0\" class=\"data row59 col0\" >99.03</td>\n",
+ " <td id=\"T_fbf73_row59_col1\" class=\"data row59 col1\" >1.37</td>\n",
+ " <td id=\"T_fbf73_row59_col2\" class=\"data row59 col2\" >99.84</td>\n",
+ " <td id=\"T_fbf73_row59_col3\" class=\"data row59 col3\" >0.96</td>\n",
+ " <td id=\"T_fbf73_row59_col4\" class=\"data row59 col4\" >1.10</td>\n",
+ " <td id=\"T_fbf73_row59_col5\" class=\"data row59 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_fbf73_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_fbf73_row60_col0\" class=\"data row60 col0\" >99.52</td>\n",
+ " <td id=\"T_fbf73_row60_col1\" class=\"data row60 col1\" >1.21</td>\n",
+ " <td id=\"T_fbf73_row60_col2\" class=\"data row60 col2\" >99.95</td>\n",
+ " <td id=\"T_fbf73_row60_col3\" class=\"data row60 col3\" >0.47</td>\n",
+ " <td id=\"T_fbf73_row60_col4\" class=\"data row60 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row60_col5\" class=\"data row60 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_fbf73_row61_col0\" class=\"data row61 col0\" >99.29</td>\n",
+ " <td id=\"T_fbf73_row61_col1\" class=\"data row61 col1\" >1.65</td>\n",
+ " <td id=\"T_fbf73_row61_col2\" class=\"data row61 col2\" >100.00</td>\n",
+ " <td id=\"T_fbf73_row61_col3\" class=\"data row61 col3\" >0.00</td>\n",
+ " <td id=\"T_fbf73_row61_col4\" class=\"data row61 col4\" >1.09</td>\n",
+ " <td id=\"T_fbf73_row61_col5\" class=\"data row61 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_fbf73_row62_col0\" class=\"data row62 col0\" >99.31</td>\n",
+ " <td id=\"T_fbf73_row62_col1\" class=\"data row62 col1\" >1.46</td>\n",
+ " <td id=\"T_fbf73_row62_col2\" class=\"data row62 col2\" >100.00</td>\n",
+ " <td id=\"T_fbf73_row62_col3\" class=\"data row62 col3\" >0.00</td>\n",
+ " <td id=\"T_fbf73_row62_col4\" class=\"data row62 col4\" >1.07</td>\n",
+ " <td id=\"T_fbf73_row62_col5\" class=\"data row62 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_fbf73_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_fbf73_row63_col0\" class=\"data row63 col0\" >99.59</td>\n",
+ " <td id=\"T_fbf73_row63_col1\" class=\"data row63 col1\" >1.02</td>\n",
+ " <td id=\"T_fbf73_row63_col2\" class=\"data row63 col2\" >99.99</td>\n",
+ " <td id=\"T_fbf73_row63_col3\" class=\"data row63 col3\" >0.10</td>\n",
+ " <td id=\"T_fbf73_row63_col4\" class=\"data row63 col4\" >1.06</td>\n",
+ " <td id=\"T_fbf73_row63_col5\" class=\"data row63 col5\" >0.06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a03b93d0>"
+ "<pandas.io.formats.style.Styler at 0x76062f9d8850>"
]
},
"metadata": {},
@@ -11111,356 +11105,356 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_8523d td {\n",
+ "#T_5cd4b td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_8523d th {\n",
+ "#T_5cd4b th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_8523d_row0_col0, #T_8523d_row0_col2, #T_8523d_row15_col0, #T_8523d_row15_col2 {\n",
+ "#T_5cd4b_row0_col0, #T_5cd4b_row0_col2, #T_5cd4b_row15_col0, #T_5cd4b_row15_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row0_col4, #T_8523d_row15_col4 {\n",
+ "#T_5cd4b_row0_col4, #T_5cd4b_row15_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row1_col0 {\n",
+ "#T_5cd4b_row1_col0 {\n",
" background-color: #c8f5c8;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row1_col2 {\n",
+ "#T_5cd4b_row1_col2 {\n",
" background-color: #a8f7a8;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row1_col4 {\n",
+ "#T_5cd4b_row1_col4 {\n",
" background-color: #fb5858;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row2_col0 {\n",
+ "#T_5cd4b_row2_col0 {\n",
" background-color: #e6f3e6;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row2_col2, #T_8523d_row3_col0 {\n",
+ "#T_5cd4b_row2_col2, #T_5cd4b_row3_col0 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row2_col4 {\n",
+ "#T_5cd4b_row2_col4 {\n",
" background-color: #fe1010;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row3_col2 {\n",
+ "#T_5cd4b_row3_col2 {\n",
" background-color: #c5f5c5;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row3_col4 {\n",
+ "#T_5cd4b_row3_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row4_col0 {\n",
+ "#T_5cd4b_row4_col0 {\n",
" background-color: #e7f3e7;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row4_col2 {\n",
+ "#T_5cd4b_row4_col2 {\n",
" background-color: #a1f8a1;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row4_col4 {\n",
+ "#T_5cd4b_row4_col4 {\n",
" background-color: #fd2323;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row5_col0 {\n",
+ "#T_5cd4b_row5_col0 {\n",
" background-color: #99f899;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row5_col2 {\n",
+ "#T_5cd4b_row5_col2 {\n",
" background-color: #70fb70;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row5_col4 {\n",
+ "#T_5cd4b_row5_col4 {\n",
" background-color: #fa6767;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row6_col0 {\n",
+ "#T_5cd4b_row6_col0 {\n",
" background-color: #93f993;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row6_col2 {\n",
+ "#T_5cd4b_row6_col2 {\n",
" background-color: #5bfc5b;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row6_col4 {\n",
+ "#T_5cd4b_row6_col4 {\n",
" background-color: #f97272;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row7_col0 {\n",
+ "#T_5cd4b_row7_col0 {\n",
" background-color: #9df89d;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row7_col2 {\n",
+ "#T_5cd4b_row7_col2 {\n",
" background-color: #73fb73;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row7_col4 {\n",
+ "#T_5cd4b_row7_col4 {\n",
" background-color: #f97f7f;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row8_col0 {\n",
+ "#T_5cd4b_row8_col0 {\n",
" background-color: #91f991;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row8_col2 {\n",
+ "#T_5cd4b_row8_col2 {\n",
" background-color: #57fd57;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row8_col4 {\n",
+ "#T_5cd4b_row8_col4 {\n",
" background-color: #f97878;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row9_col0 {\n",
+ "#T_5cd4b_row9_col0 {\n",
" background-color: #96f996;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row9_col2 {\n",
+ "#T_5cd4b_row9_col2 {\n",
" background-color: #56fd56;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row9_col4 {\n",
+ "#T_5cd4b_row9_col4 {\n",
" background-color: #f88c8c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row10_col0 {\n",
+ "#T_5cd4b_row10_col0 {\n",
" background-color: #94f994;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row10_col2 {\n",
+ "#T_5cd4b_row10_col2 {\n",
" background-color: #58fd58;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row10_col4 {\n",
+ "#T_5cd4b_row10_col4 {\n",
" background-color: #f88383;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_8523d_row11_col0 {\n",
+ "#T_5cd4b_row11_col0 {\n",
" background-color: #4efd4e;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row11_col2, #T_8523d_row13_col2 {\n",
+ "#T_5cd4b_row11_col2, #T_5cd4b_row13_col2 {\n",
" background-color: #3aff3a;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row11_col4 {\n",
+ "#T_5cd4b_row11_col4 {\n",
" background-color: #f5bdbd;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row12_col0 {\n",
+ "#T_5cd4b_row12_col0 {\n",
" background-color: #54fd54;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row12_col2 {\n",
+ "#T_5cd4b_row12_col2 {\n",
" background-color: #41fe41;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row12_col4 {\n",
+ "#T_5cd4b_row12_col4 {\n",
" background-color: #f5bfbf;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row13_col0 {\n",
+ "#T_5cd4b_row13_col0 {\n",
" background-color: #4ffd4f;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row13_col4 {\n",
+ "#T_5cd4b_row13_col4 {\n",
" background-color: #f5cbcb;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row14_col0 {\n",
+ "#T_5cd4b_row14_col0 {\n",
" background-color: #50fd50;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row14_col2 {\n",
+ "#T_5cd4b_row14_col2 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_8523d_row14_col4 {\n",
+ "#T_5cd4b_row14_col4 {\n",
" background-color: #f5cece;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_8523d\">\n",
+ "<table id=\"T_5cd4b\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_8523d_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
- " <th id=\"T_8523d_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " <th id=\"T_5cd4b_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_5cd4b_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_8523d_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_8523d_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_8523d_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_5cd4b_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_5cd4b_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_5cd4b_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_8523d_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_8523d_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
- " <th id=\"T_8523d_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_8523d_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
- " <th id=\"T_8523d_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_8523d_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " <th id=\"T_5cd4b_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_5cd4b_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_5cd4b_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_5cd4b_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_5cd4b_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_5cd4b_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_8523d_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_8523d_row0_col0\" class=\"data row0 col0\" >99.40</td>\n",
- " <td id=\"T_8523d_row0_col1\" class=\"data row0 col1\" >0.88</td>\n",
- " <td id=\"T_8523d_row0_col2\" class=\"data row0 col2\" >99.98</td>\n",
- " <td id=\"T_8523d_row0_col3\" class=\"data row0 col3\" >0.13</td>\n",
- " <td id=\"T_8523d_row0_col4\" class=\"data row0 col4\" >1.08</td>\n",
- " <td id=\"T_8523d_row0_col5\" class=\"data row0 col5\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_8523d_row1_col0\" class=\"data row1 col0\" >96.00</td>\n",
- " <td id=\"T_8523d_row1_col1\" class=\"data row1 col1\" >1.59</td>\n",
- " <td id=\"T_8523d_row1_col2\" class=\"data row1 col2\" >98.50</td>\n",
- " <td id=\"T_8523d_row1_col3\" class=\"data row1 col3\" >1.92</td>\n",
- " <td id=\"T_8523d_row1_col4\" class=\"data row1 col4\" >1.27</td>\n",
- " <td id=\"T_8523d_row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_8523d_row2_col0\" class=\"data row2 col0\" >95.30</td>\n",
- " <td id=\"T_8523d_row2_col1\" class=\"data row2 col1\" >1.66</td>\n",
- " <td id=\"T_8523d_row2_col2\" class=\"data row2 col2\" >97.64</td>\n",
- " <td id=\"T_8523d_row2_col3\" class=\"data row2 col3\" >2.44</td>\n",
- " <td id=\"T_8523d_row2_col4\" class=\"data row2 col4\" >1.36</td>\n",
- " <td id=\"T_8523d_row2_col5\" class=\"data row2 col5\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_8523d_row3_col0\" class=\"data row3 col0\" >95.20</td>\n",
- " <td id=\"T_8523d_row3_col1\" class=\"data row3 col1\" >1.58</td>\n",
- " <td id=\"T_8523d_row3_col2\" class=\"data row3 col2\" >98.13</td>\n",
- " <td id=\"T_8523d_row3_col3\" class=\"data row3 col3\" >2.09</td>\n",
- " <td id=\"T_8523d_row3_col4\" class=\"data row3 col4\" >1.38</td>\n",
- " <td id=\"T_8523d_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_8523d_row4_col0\" class=\"data row4 col0\" >95.28</td>\n",
- " <td id=\"T_8523d_row4_col1\" class=\"data row4 col1\" >1.57</td>\n",
- " <td id=\"T_8523d_row4_col2\" class=\"data row4 col2\" >98.59</td>\n",
- " <td id=\"T_8523d_row4_col3\" class=\"data row4 col3\" >1.31</td>\n",
- " <td id=\"T_8523d_row4_col4\" class=\"data row4 col4\" >1.34</td>\n",
- " <td id=\"T_8523d_row4_col5\" class=\"data row4 col5\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_8523d_row5_col0\" class=\"data row5 col0\" >97.08</td>\n",
- " <td id=\"T_8523d_row5_col1\" class=\"data row5 col1\" >1.34</td>\n",
- " <td id=\"T_8523d_row5_col2\" class=\"data row5 col2\" >99.22</td>\n",
- " <td id=\"T_8523d_row5_col3\" class=\"data row5 col3\" >1.60</td>\n",
- " <td id=\"T_8523d_row5_col4\" class=\"data row5 col4\" >1.25</td>\n",
- " <td id=\"T_8523d_row5_col5\" class=\"data row5 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_8523d_row6_col0\" class=\"data row6 col0\" >97.20</td>\n",
- " <td id=\"T_8523d_row6_col1\" class=\"data row6 col1\" >1.30</td>\n",
- " <td id=\"T_8523d_row6_col2\" class=\"data row6 col2\" >99.48</td>\n",
- " <td id=\"T_8523d_row6_col3\" class=\"data row6 col3\" >0.88</td>\n",
- " <td id=\"T_8523d_row6_col4\" class=\"data row6 col4\" >1.24</td>\n",
- " <td id=\"T_8523d_row6_col5\" class=\"data row6 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_8523d_row7_col0\" class=\"data row7 col0\" >96.98</td>\n",
- " <td id=\"T_8523d_row7_col1\" class=\"data row7 col1\" >1.45</td>\n",
- " <td id=\"T_8523d_row7_col2\" class=\"data row7 col2\" >99.17</td>\n",
- " <td id=\"T_8523d_row7_col3\" class=\"data row7 col3\" >1.25</td>\n",
- " <td id=\"T_8523d_row7_col4\" class=\"data row7 col4\" >1.22</td>\n",
- " <td id=\"T_8523d_row7_col5\" class=\"data row7 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_8523d_row8_col0\" class=\"data row8 col0\" >97.26</td>\n",
- " <td id=\"T_8523d_row8_col1\" class=\"data row8 col1\" >1.13</td>\n",
- " <td id=\"T_8523d_row8_col2\" class=\"data row8 col2\" >99.53</td>\n",
- " <td id=\"T_8523d_row8_col3\" class=\"data row8 col3\" >1.09</td>\n",
- " <td id=\"T_8523d_row8_col4\" class=\"data row8 col4\" >1.23</td>\n",
- " <td id=\"T_8523d_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_8523d_row9_col0\" class=\"data row9 col0\" >97.14</td>\n",
- " <td id=\"T_8523d_row9_col1\" class=\"data row9 col1\" >1.29</td>\n",
- " <td id=\"T_8523d_row9_col2\" class=\"data row9 col2\" >99.55</td>\n",
- " <td id=\"T_8523d_row9_col3\" class=\"data row9 col3\" >0.98</td>\n",
- " <td id=\"T_8523d_row9_col4\" class=\"data row9 col4\" >1.20</td>\n",
- " <td id=\"T_8523d_row9_col5\" class=\"data row9 col5\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_8523d_row10_col0\" class=\"data row10 col0\" >97.20</td>\n",
- " <td id=\"T_8523d_row10_col1\" class=\"data row10 col1\" >1.35</td>\n",
- " <td id=\"T_8523d_row10_col2\" class=\"data row10 col2\" >99.52</td>\n",
- " <td id=\"T_8523d_row10_col3\" class=\"data row10 col3\" >1.15</td>\n",
- " <td id=\"T_8523d_row10_col4\" class=\"data row10 col4\" >1.22</td>\n",
- " <td id=\"T_8523d_row10_col5\" class=\"data row10 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_8523d_row11_col0\" class=\"data row11 col0\" >98.81</td>\n",
- " <td id=\"T_8523d_row11_col1\" class=\"data row11 col1\" >1.00</td>\n",
- " <td id=\"T_8523d_row11_col2\" class=\"data row11 col2\" >99.90</td>\n",
- " <td id=\"T_8523d_row11_col3\" class=\"data row11 col3\" >0.37</td>\n",
- " <td id=\"T_8523d_row11_col4\" class=\"data row11 col4\" >1.14</td>\n",
- " <td id=\"T_8523d_row11_col5\" class=\"data row11 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_8523d_row12_col0\" class=\"data row12 col0\" >98.65</td>\n",
- " <td id=\"T_8523d_row12_col1\" class=\"data row12 col1\" >1.00</td>\n",
- " <td id=\"T_8523d_row12_col2\" class=\"data row12 col2\" >99.81</td>\n",
- " <td id=\"T_8523d_row12_col3\" class=\"data row12 col3\" >0.74</td>\n",
- " <td id=\"T_8523d_row12_col4\" class=\"data row12 col4\" >1.14</td>\n",
- " <td id=\"T_8523d_row12_col5\" class=\"data row12 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_8523d_row13_col0\" class=\"data row13 col0\" >98.77</td>\n",
- " <td id=\"T_8523d_row13_col1\" class=\"data row13 col1\" >0.93</td>\n",
- " <td id=\"T_8523d_row13_col2\" class=\"data row13 col2\" >99.90</td>\n",
- " <td id=\"T_8523d_row13_col3\" class=\"data row13 col3\" >0.39</td>\n",
- " <td id=\"T_8523d_row13_col4\" class=\"data row13 col4\" >1.12</td>\n",
- " <td id=\"T_8523d_row13_col5\" class=\"data row13 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_8523d_row14_col0\" class=\"data row14 col0\" >98.75</td>\n",
- " <td id=\"T_8523d_row14_col1\" class=\"data row14 col1\" >0.98</td>\n",
- " <td id=\"T_8523d_row14_col2\" class=\"data row14 col2\" >99.86</td>\n",
- " <td id=\"T_8523d_row14_col3\" class=\"data row14 col3\" >0.44</td>\n",
- " <td id=\"T_8523d_row14_col4\" class=\"data row14 col4\" >1.12</td>\n",
- " <td id=\"T_8523d_row14_col5\" class=\"data row14 col5\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_8523d_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_8523d_row15_col0\" class=\"data row15 col0\" >99.40</td>\n",
- " <td id=\"T_8523d_row15_col1\" class=\"data row15 col1\" >0.88</td>\n",
- " <td id=\"T_8523d_row15_col2\" class=\"data row15 col2\" >99.98</td>\n",
- " <td id=\"T_8523d_row15_col3\" class=\"data row15 col3\" >0.13</td>\n",
- " <td id=\"T_8523d_row15_col4\" class=\"data row15 col4\" >1.08</td>\n",
- " <td id=\"T_8523d_row15_col5\" class=\"data row15 col5\" >0.03</td>\n",
+ " <th id=\"T_5cd4b_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_5cd4b_row0_col0\" class=\"data row0 col0\" >99.40</td>\n",
+ " <td id=\"T_5cd4b_row0_col1\" class=\"data row0 col1\" >0.88</td>\n",
+ " <td id=\"T_5cd4b_row0_col2\" class=\"data row0 col2\" >99.98</td>\n",
+ " <td id=\"T_5cd4b_row0_col3\" class=\"data row0 col3\" >0.13</td>\n",
+ " <td id=\"T_5cd4b_row0_col4\" class=\"data row0 col4\" >1.08</td>\n",
+ " <td id=\"T_5cd4b_row0_col5\" class=\"data row0 col5\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_5cd4b_row1_col0\" class=\"data row1 col0\" >96.00</td>\n",
+ " <td id=\"T_5cd4b_row1_col1\" class=\"data row1 col1\" >1.59</td>\n",
+ " <td id=\"T_5cd4b_row1_col2\" class=\"data row1 col2\" >98.50</td>\n",
+ " <td id=\"T_5cd4b_row1_col3\" class=\"data row1 col3\" >1.92</td>\n",
+ " <td id=\"T_5cd4b_row1_col4\" class=\"data row1 col4\" >1.27</td>\n",
+ " <td id=\"T_5cd4b_row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_5cd4b_row2_col0\" class=\"data row2 col0\" >95.30</td>\n",
+ " <td id=\"T_5cd4b_row2_col1\" class=\"data row2 col1\" >1.66</td>\n",
+ " <td id=\"T_5cd4b_row2_col2\" class=\"data row2 col2\" >97.64</td>\n",
+ " <td id=\"T_5cd4b_row2_col3\" class=\"data row2 col3\" >2.44</td>\n",
+ " <td id=\"T_5cd4b_row2_col4\" class=\"data row2 col4\" >1.36</td>\n",
+ " <td id=\"T_5cd4b_row2_col5\" class=\"data row2 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_5cd4b_row3_col0\" class=\"data row3 col0\" >95.20</td>\n",
+ " <td id=\"T_5cd4b_row3_col1\" class=\"data row3 col1\" >1.58</td>\n",
+ " <td id=\"T_5cd4b_row3_col2\" class=\"data row3 col2\" >98.13</td>\n",
+ " <td id=\"T_5cd4b_row3_col3\" class=\"data row3 col3\" >2.09</td>\n",
+ " <td id=\"T_5cd4b_row3_col4\" class=\"data row3 col4\" >1.38</td>\n",
+ " <td id=\"T_5cd4b_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_5cd4b_row4_col0\" class=\"data row4 col0\" >95.28</td>\n",
+ " <td id=\"T_5cd4b_row4_col1\" class=\"data row4 col1\" >1.57</td>\n",
+ " <td id=\"T_5cd4b_row4_col2\" class=\"data row4 col2\" >98.59</td>\n",
+ " <td id=\"T_5cd4b_row4_col3\" class=\"data row4 col3\" >1.31</td>\n",
+ " <td id=\"T_5cd4b_row4_col4\" class=\"data row4 col4\" >1.34</td>\n",
+ " <td id=\"T_5cd4b_row4_col5\" class=\"data row4 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_5cd4b_row5_col0\" class=\"data row5 col0\" >97.08</td>\n",
+ " <td id=\"T_5cd4b_row5_col1\" class=\"data row5 col1\" >1.34</td>\n",
+ " <td id=\"T_5cd4b_row5_col2\" class=\"data row5 col2\" >99.22</td>\n",
+ " <td id=\"T_5cd4b_row5_col3\" class=\"data row5 col3\" >1.60</td>\n",
+ " <td id=\"T_5cd4b_row5_col4\" class=\"data row5 col4\" >1.25</td>\n",
+ " <td id=\"T_5cd4b_row5_col5\" class=\"data row5 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_5cd4b_row6_col0\" class=\"data row6 col0\" >97.20</td>\n",
+ " <td id=\"T_5cd4b_row6_col1\" class=\"data row6 col1\" >1.30</td>\n",
+ " <td id=\"T_5cd4b_row6_col2\" class=\"data row6 col2\" >99.48</td>\n",
+ " <td id=\"T_5cd4b_row6_col3\" class=\"data row6 col3\" >0.88</td>\n",
+ " <td id=\"T_5cd4b_row6_col4\" class=\"data row6 col4\" >1.24</td>\n",
+ " <td id=\"T_5cd4b_row6_col5\" class=\"data row6 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_5cd4b_row7_col0\" class=\"data row7 col0\" >96.98</td>\n",
+ " <td id=\"T_5cd4b_row7_col1\" class=\"data row7 col1\" >1.45</td>\n",
+ " <td id=\"T_5cd4b_row7_col2\" class=\"data row7 col2\" >99.17</td>\n",
+ " <td id=\"T_5cd4b_row7_col3\" class=\"data row7 col3\" >1.25</td>\n",
+ " <td id=\"T_5cd4b_row7_col4\" class=\"data row7 col4\" >1.22</td>\n",
+ " <td id=\"T_5cd4b_row7_col5\" class=\"data row7 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_5cd4b_row8_col0\" class=\"data row8 col0\" >97.26</td>\n",
+ " <td id=\"T_5cd4b_row8_col1\" class=\"data row8 col1\" >1.13</td>\n",
+ " <td id=\"T_5cd4b_row8_col2\" class=\"data row8 col2\" >99.53</td>\n",
+ " <td id=\"T_5cd4b_row8_col3\" class=\"data row8 col3\" >1.09</td>\n",
+ " <td id=\"T_5cd4b_row8_col4\" class=\"data row8 col4\" >1.23</td>\n",
+ " <td id=\"T_5cd4b_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_5cd4b_row9_col0\" class=\"data row9 col0\" >97.14</td>\n",
+ " <td id=\"T_5cd4b_row9_col1\" class=\"data row9 col1\" >1.29</td>\n",
+ " <td id=\"T_5cd4b_row9_col2\" class=\"data row9 col2\" >99.55</td>\n",
+ " <td id=\"T_5cd4b_row9_col3\" class=\"data row9 col3\" >0.98</td>\n",
+ " <td id=\"T_5cd4b_row9_col4\" class=\"data row9 col4\" >1.20</td>\n",
+ " <td id=\"T_5cd4b_row9_col5\" class=\"data row9 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_5cd4b_row10_col0\" class=\"data row10 col0\" >97.20</td>\n",
+ " <td id=\"T_5cd4b_row10_col1\" class=\"data row10 col1\" >1.35</td>\n",
+ " <td id=\"T_5cd4b_row10_col2\" class=\"data row10 col2\" >99.52</td>\n",
+ " <td id=\"T_5cd4b_row10_col3\" class=\"data row10 col3\" >1.15</td>\n",
+ " <td id=\"T_5cd4b_row10_col4\" class=\"data row10 col4\" >1.22</td>\n",
+ " <td id=\"T_5cd4b_row10_col5\" class=\"data row10 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_5cd4b_row11_col0\" class=\"data row11 col0\" >98.81</td>\n",
+ " <td id=\"T_5cd4b_row11_col1\" class=\"data row11 col1\" >1.00</td>\n",
+ " <td id=\"T_5cd4b_row11_col2\" class=\"data row11 col2\" >99.90</td>\n",
+ " <td id=\"T_5cd4b_row11_col3\" class=\"data row11 col3\" >0.37</td>\n",
+ " <td id=\"T_5cd4b_row11_col4\" class=\"data row11 col4\" >1.14</td>\n",
+ " <td id=\"T_5cd4b_row11_col5\" class=\"data row11 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_5cd4b_row12_col0\" class=\"data row12 col0\" >98.65</td>\n",
+ " <td id=\"T_5cd4b_row12_col1\" class=\"data row12 col1\" >1.00</td>\n",
+ " <td id=\"T_5cd4b_row12_col2\" class=\"data row12 col2\" >99.81</td>\n",
+ " <td id=\"T_5cd4b_row12_col3\" class=\"data row12 col3\" >0.74</td>\n",
+ " <td id=\"T_5cd4b_row12_col4\" class=\"data row12 col4\" >1.14</td>\n",
+ " <td id=\"T_5cd4b_row12_col5\" class=\"data row12 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_5cd4b_row13_col0\" class=\"data row13 col0\" >98.77</td>\n",
+ " <td id=\"T_5cd4b_row13_col1\" class=\"data row13 col1\" >0.93</td>\n",
+ " <td id=\"T_5cd4b_row13_col2\" class=\"data row13 col2\" >99.90</td>\n",
+ " <td id=\"T_5cd4b_row13_col3\" class=\"data row13 col3\" >0.39</td>\n",
+ " <td id=\"T_5cd4b_row13_col4\" class=\"data row13 col4\" >1.12</td>\n",
+ " <td id=\"T_5cd4b_row13_col5\" class=\"data row13 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_5cd4b_row14_col0\" class=\"data row14 col0\" >98.75</td>\n",
+ " <td id=\"T_5cd4b_row14_col1\" class=\"data row14 col1\" >0.98</td>\n",
+ " <td id=\"T_5cd4b_row14_col2\" class=\"data row14 col2\" >99.86</td>\n",
+ " <td id=\"T_5cd4b_row14_col3\" class=\"data row14 col3\" >0.44</td>\n",
+ " <td id=\"T_5cd4b_row14_col4\" class=\"data row14 col4\" >1.12</td>\n",
+ " <td id=\"T_5cd4b_row14_col5\" class=\"data row14 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_5cd4b_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_5cd4b_row15_col0\" class=\"data row15 col0\" >99.40</td>\n",
+ " <td id=\"T_5cd4b_row15_col1\" class=\"data row15 col1\" >0.88</td>\n",
+ " <td id=\"T_5cd4b_row15_col2\" class=\"data row15 col2\" >99.98</td>\n",
+ " <td id=\"T_5cd4b_row15_col3\" class=\"data row15 col3\" >0.13</td>\n",
+ " <td id=\"T_5cd4b_row15_col4\" class=\"data row15 col4\" >1.08</td>\n",
+ " <td id=\"T_5cd4b_row15_col5\" class=\"data row15 col5\" >0.03</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0ed68d0>"
+ "<pandas.io.formats.style.Styler at 0x76062f9be9d0>"
]
},
"metadata": {},
@@ -11473,14 +11467,14 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "/home/fontana/workspace/market-place/GenerateVisualisation/experiments_analysis.py:1160: RuntimeWarning: invalid value encountered in divide\n",
+ "/home/fontana/workspace/python_projects/cooperative-vs-non-cooperative-marketplace/Analysis/../GenerateVisualisation/experiments_analysis.py:1160: RuntimeWarning: invalid value encountered in divide\n",
" ratio_benefits_energy_used = np.nan_to_num(total_benefits / energy_used_by_dc)\n"
]
},
@@ -11488,985 +11482,985 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_bc7ac td {\n",
+ "#T_eb96f td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_bc7ac th {\n",
+ "#T_eb96f th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_bc7ac_row0_col0, #T_bc7ac_row0_col2 {\n",
+ "#T_eb96f_row0_col0, #T_eb96f_row0_col2 {\n",
" background-color: #aef7ae;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row0_col4, #T_bc7ac_row60_col4 {\n",
+ "#T_eb96f_row0_col4, #T_eb96f_row60_col4 {\n",
" background-color: #fb4d4d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row1_col0, #T_bc7ac_row1_col2 {\n",
+ "#T_eb96f_row1_col0, #T_eb96f_row1_col2 {\n",
" background-color: #9cf89c;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row1_col4, #T_bc7ac_row61_col4 {\n",
+ "#T_eb96f_row1_col4, #T_eb96f_row61_col4 {\n",
" background-color: #fa6464;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row2_col0, #T_bc7ac_row2_col2 {\n",
+ "#T_eb96f_row2_col0, #T_eb96f_row2_col2 {\n",
" background-color: #9df89d;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row2_col4, #T_bc7ac_row48_col4, #T_bc7ac_row62_col4 {\n",
+ "#T_eb96f_row2_col4, #T_eb96f_row48_col4, #T_eb96f_row62_col4 {\n",
" background-color: #fa6a6a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row3_col0, #T_bc7ac_row3_col2 {\n",
+ "#T_eb96f_row3_col0, #T_eb96f_row3_col2 {\n",
" background-color: #98f897;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row3_col4, #T_bc7ac_row63_col4 {\n",
+ "#T_eb96f_row3_col4, #T_eb96f_row63_col4 {\n",
" background-color: #f97373;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row4_col0, #T_bc7ac_row4_col2 {\n",
+ "#T_eb96f_row4_col0, #T_eb96f_row4_col2 {\n",
" background-color: #47fe47;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row4_col4 {\n",
+ "#T_eb96f_row4_col4 {\n",
" background-color: #f5cbcb;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row5_col0, #T_bc7ac_row5_col2 {\n",
+ "#T_eb96f_row5_col0, #T_eb96f_row5_col2 {\n",
" background-color: #c2f6c2;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row5_col4, #T_bc7ac_row7_col4, #T_bc7ac_row18_col4 {\n",
+ "#T_eb96f_row5_col4, #T_eb96f_row7_col4, #T_eb96f_row18_col4 {\n",
" background-color: #fc3c3c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row6_col0, #T_bc7ac_row6_col2, #T_bc7ac_row7_col0, #T_bc7ac_row7_col2 {\n",
+ "#T_eb96f_row6_col0, #T_eb96f_row6_col2, #T_eb96f_row7_col0, #T_eb96f_row7_col2 {\n",
" background-color: #c1f6c1;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row6_col4 {\n",
+ "#T_eb96f_row6_col4 {\n",
" background-color: #fc3e3e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row8_col0, #T_bc7ac_row8_col2 {\n",
+ "#T_eb96f_row8_col0, #T_eb96f_row8_col2 {\n",
" background-color: #cef5ce;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row8_col4 {\n",
+ "#T_eb96f_row8_col4 {\n",
" background-color: #fd2626;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row9_col0, #T_bc7ac_row9_col2, #T_bc7ac_row19_col0, #T_bc7ac_row19_col2 {\n",
+ "#T_eb96f_row9_col0, #T_eb96f_row9_col2, #T_eb96f_row19_col0, #T_eb96f_row19_col2 {\n",
" background-color: #35ff35;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row9_col4 {\n",
+ "#T_eb96f_row9_col4 {\n",
" background-color: #f3e8e8;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row10_col0, #T_bc7ac_row10_col2, #T_bc7ac_row13_col0, #T_bc7ac_row13_col2, #T_bc7ac_row34_col0, #T_bc7ac_row34_col2, #T_bc7ac_row37_col0, #T_bc7ac_row37_col2 {\n",
+ "#T_eb96f_row10_col0, #T_eb96f_row10_col2, #T_eb96f_row13_col0, #T_eb96f_row13_col2, #T_eb96f_row34_col0, #T_eb96f_row34_col2, #T_eb96f_row37_col0, #T_eb96f_row37_col2 {\n",
" background-color: #c7f5c7;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row10_col4, #T_bc7ac_row11_col4 {\n",
+ "#T_eb96f_row10_col4, #T_eb96f_row11_col4 {\n",
" background-color: #fc3838;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row11_col0, #T_bc7ac_row11_col2, #T_bc7ac_row18_col0, #T_bc7ac_row18_col2 {\n",
+ "#T_eb96f_row11_col0, #T_eb96f_row11_col2, #T_eb96f_row18_col0, #T_eb96f_row18_col2 {\n",
" background-color: #c3f6c3;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row12_col0, #T_bc7ac_row12_col2 {\n",
+ "#T_eb96f_row12_col0, #T_eb96f_row12_col2 {\n",
" background-color: #ccf5cc;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row12_col4 {\n",
+ "#T_eb96f_row12_col4 {\n",
" background-color: #fd2828;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row13_col4 {\n",
+ "#T_eb96f_row13_col4 {\n",
" background-color: #fc3333;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row14_col0, #T_bc7ac_row14_col2 {\n",
+ "#T_eb96f_row14_col0, #T_eb96f_row14_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row14_col4, #T_bc7ac_row19_col4 {\n",
+ "#T_eb96f_row14_col4, #T_eb96f_row19_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row15_col0, #T_bc7ac_row15_col2, #T_bc7ac_row17_col0, #T_bc7ac_row17_col2, #T_bc7ac_row20_col0, #T_bc7ac_row20_col2 {\n",
+ "#T_eb96f_row15_col0, #T_eb96f_row15_col2, #T_eb96f_row17_col0, #T_eb96f_row17_col2, #T_eb96f_row20_col0, #T_eb96f_row20_col2 {\n",
" background-color: #c6f5c6;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row15_col4, #T_bc7ac_row17_col4 {\n",
+ "#T_eb96f_row15_col4, #T_eb96f_row17_col4 {\n",
" background-color: #fc3535;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row16_col0, #T_bc7ac_row16_col2 {\n",
+ "#T_eb96f_row16_col0, #T_eb96f_row16_col2 {\n",
" background-color: #d0f5d0;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row16_col4 {\n",
+ "#T_eb96f_row16_col4 {\n",
" background-color: #fd2323;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row20_col4, #T_bc7ac_row46_col4, #T_bc7ac_row51_col4 {\n",
+ "#T_eb96f_row20_col4, #T_eb96f_row46_col4, #T_eb96f_row51_col4 {\n",
" background-color: #f89494;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row21_col0, #T_bc7ac_row21_col2, #T_bc7ac_row26_col0, #T_bc7ac_row26_col2 {\n",
+ "#T_eb96f_row21_col0, #T_eb96f_row21_col2, #T_eb96f_row26_col0, #T_eb96f_row26_col2 {\n",
" background-color: #a7f7a7;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row21_col4 {\n",
+ "#T_eb96f_row21_col4 {\n",
" background-color: #f5bcbc;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row22_col0, #T_bc7ac_row22_col2, #T_bc7ac_row25_col0, #T_bc7ac_row25_col2 {\n",
+ "#T_eb96f_row22_col0, #T_eb96f_row22_col2, #T_eb96f_row25_col0, #T_eb96f_row25_col2 {\n",
" background-color: #d9f4d9;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row22_col4 {\n",
+ "#T_eb96f_row22_col4 {\n",
" background-color: #fe1d1d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row23_col0, #T_bc7ac_row23_col2, #T_bc7ac_row27_col0, #T_bc7ac_row27_col2, #T_bc7ac_row38_col0, #T_bc7ac_row38_col2 {\n",
+ "#T_eb96f_row23_col0, #T_eb96f_row23_col2, #T_eb96f_row27_col0, #T_eb96f_row27_col2, #T_eb96f_row38_col0, #T_eb96f_row38_col2 {\n",
" background-color: #dcf4db;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row23_col4, #T_bc7ac_row27_col4 {\n",
+ "#T_eb96f_row23_col4, #T_eb96f_row27_col4 {\n",
" background-color: #fe1717;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row24_col0, #T_bc7ac_row24_col2, #T_bc7ac_row39_col0, #T_bc7ac_row39_col2, #T_bc7ac_row43_col0, #T_bc7ac_row43_col2 {\n",
+ "#T_eb96f_row24_col0, #T_eb96f_row24_col2, #T_eb96f_row39_col0, #T_eb96f_row39_col2, #T_eb96f_row43_col0, #T_eb96f_row43_col2 {\n",
" background-color: #caf5ca;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row24_col4 {\n",
+ "#T_eb96f_row24_col4 {\n",
" background-color: #f89191;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row25_col4 {\n",
+ "#T_eb96f_row25_col4 {\n",
" background-color: #fe1818;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row26_col4 {\n",
+ "#T_eb96f_row26_col4 {\n",
" background-color: #f5c4c4;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row28_col0, #T_bc7ac_row28_col2 {\n",
+ "#T_eb96f_row28_col0, #T_eb96f_row28_col2 {\n",
" background-color: #cdf5cd;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row28_col4 {\n",
+ "#T_eb96f_row28_col4 {\n",
" background-color: #f88d8d;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row29_col0, #T_bc7ac_row29_col2 {\n",
+ "#T_eb96f_row29_col0, #T_eb96f_row29_col2 {\n",
" background-color: #d6f4d6;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row29_col4 {\n",
+ "#T_eb96f_row29_col4 {\n",
" background-color: #fd1e1e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row30_col0, #T_bc7ac_row30_col2 {\n",
+ "#T_eb96f_row30_col0, #T_eb96f_row30_col2 {\n",
" background-color: #d8f4d8;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row30_col4 {\n",
+ "#T_eb96f_row30_col4 {\n",
" background-color: #fe1c1c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row31_col0, #T_bc7ac_row31_col2 {\n",
+ "#T_eb96f_row31_col0, #T_eb96f_row31_col2 {\n",
" background-color: #b0f7b0;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row31_col4 {\n",
+ "#T_eb96f_row31_col4 {\n",
" background-color: #f5bfbf;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row32_col0, #T_bc7ac_row32_col2, #T_bc7ac_row36_col0, #T_bc7ac_row36_col2, #T_bc7ac_row45_col0, #T_bc7ac_row45_col2, #T_bc7ac_row51_col0, #T_bc7ac_row51_col2 {\n",
+ "#T_eb96f_row32_col0, #T_eb96f_row32_col2, #T_eb96f_row36_col0, #T_eb96f_row36_col2, #T_eb96f_row45_col0, #T_eb96f_row45_col2, #T_eb96f_row51_col0, #T_eb96f_row51_col2 {\n",
" background-color: #e1f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row32_col4 {\n",
+ "#T_eb96f_row32_col4 {\n",
" background-color: #fe0d0d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row33_col0, #T_bc7ac_row33_col2 {\n",
+ "#T_eb96f_row33_col0, #T_eb96f_row33_col2 {\n",
" background-color: #c9f5c9;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row33_col4 {\n",
+ "#T_eb96f_row33_col4 {\n",
" background-color: #f6afaf;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row34_col4, #T_bc7ac_row39_col4, #T_bc7ac_row42_col4 {\n",
+ "#T_eb96f_row34_col4, #T_eb96f_row39_col4, #T_eb96f_row42_col4 {\n",
" background-color: #f6b6b6;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row35_col0, #T_bc7ac_row35_col2, #T_bc7ac_row49_col0, #T_bc7ac_row49_col2, #T_bc7ac_row54_col0, #T_bc7ac_row54_col2 {\n",
+ "#T_eb96f_row35_col0, #T_eb96f_row35_col2, #T_eb96f_row49_col0, #T_eb96f_row49_col2, #T_eb96f_row54_col0, #T_eb96f_row54_col2 {\n",
" background-color: #ddf4dd;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row35_col4 {\n",
+ "#T_eb96f_row35_col4 {\n",
" background-color: #fe1414;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row36_col4 {\n",
+ "#T_eb96f_row36_col4 {\n",
" background-color: #fe0a0a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row37_col4 {\n",
+ "#T_eb96f_row37_col4 {\n",
" background-color: #f6adad;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row38_col4 {\n",
+ "#T_eb96f_row38_col4 {\n",
" background-color: #fe1919;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row40_col0, #T_bc7ac_row40_col2 {\n",
+ "#T_eb96f_row40_col0, #T_eb96f_row40_col2 {\n",
" background-color: #e1f4e1;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row40_col4 {\n",
+ "#T_eb96f_row40_col4 {\n",
" background-color: #fe0c0c;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row41_col0, #T_bc7ac_row41_col2 {\n",
+ "#T_eb96f_row41_col0, #T_eb96f_row41_col2 {\n",
" background-color: #dcf4dc;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row41_col4 {\n",
+ "#T_eb96f_row41_col4 {\n",
" background-color: #fe1313;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row42_col0, #T_bc7ac_row42_col2 {\n",
+ "#T_eb96f_row42_col0, #T_eb96f_row42_col2 {\n",
" background-color: #c8f5c8;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row43_col4 {\n",
+ "#T_eb96f_row43_col4 {\n",
" background-color: #f6b2b2;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row44_col0, #T_bc7ac_row44_col2, #T_bc7ac_row48_col0, #T_bc7ac_row48_col2, #T_bc7ac_row50_col0, #T_bc7ac_row50_col2, #T_bc7ac_row57_col0, #T_bc7ac_row57_col2, #T_bc7ac_row59_col0, #T_bc7ac_row59_col2 {\n",
+ "#T_eb96f_row44_col0, #T_eb96f_row44_col2, #T_eb96f_row48_col0, #T_eb96f_row48_col2, #T_eb96f_row50_col0, #T_eb96f_row50_col2, #T_eb96f_row57_col0, #T_eb96f_row57_col2, #T_eb96f_row59_col0, #T_eb96f_row59_col2 {\n",
" background-color: #e5f3e5;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row44_col4 {\n",
+ "#T_eb96f_row44_col4 {\n",
" background-color: #f96e6e;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row45_col4 {\n",
+ "#T_eb96f_row45_col4 {\n",
" background-color: #f88686;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row46_col0, #T_bc7ac_row46_col2 {\n",
+ "#T_eb96f_row46_col0, #T_eb96f_row46_col2 {\n",
" background-color: #e0f4e0;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row47_col0, #T_bc7ac_row47_col2 {\n",
+ "#T_eb96f_row47_col0, #T_eb96f_row47_col2 {\n",
" background-color: #e7f3e7;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row47_col4 {\n",
+ "#T_eb96f_row47_col4 {\n",
" background-color: #ff0303;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row49_col4 {\n",
+ "#T_eb96f_row49_col4 {\n",
" background-color: #f88585;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row50_col4 {\n",
+ "#T_eb96f_row50_col4 {\n",
" background-color: #ff0808;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row52_col0, #T_bc7ac_row52_col2 {\n",
+ "#T_eb96f_row52_col0, #T_eb96f_row52_col2 {\n",
" background-color: #e6f3e6;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row52_col4 {\n",
+ "#T_eb96f_row52_col4 {\n",
" background-color: #fa6969;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row53_col0, #T_bc7ac_row53_col2 {\n",
+ "#T_eb96f_row53_col0, #T_eb96f_row53_col2 {\n",
" background-color: #e4f3e4;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row53_col4 {\n",
+ "#T_eb96f_row53_col4 {\n",
" background-color: #ff0707;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row54_col4 {\n",
+ "#T_eb96f_row54_col4 {\n",
" background-color: #f88a8a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row55_col0, #T_bc7ac_row55_col2 {\n",
+ "#T_eb96f_row55_col0, #T_eb96f_row55_col2 {\n",
" background-color: #e2f4e2;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row55_col4 {\n",
+ "#T_eb96f_row55_col4 {\n",
" background-color: #f89090;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row56_col0, #T_bc7ac_row56_col2 {\n",
+ "#T_eb96f_row56_col0, #T_eb96f_row56_col2 {\n",
" background-color: #e8f3e8;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row56_col4 {\n",
+ "#T_eb96f_row56_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row57_col4 {\n",
+ "#T_eb96f_row57_col4 {\n",
" background-color: #f97f7f;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row58_col0, #T_bc7ac_row58_col2 {\n",
+ "#T_eb96f_row58_col0, #T_eb96f_row58_col2 {\n",
" background-color: #e3f3e3;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row58_col4 {\n",
+ "#T_eb96f_row58_col4 {\n",
" background-color: #f88282;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row59_col4 {\n",
+ "#T_eb96f_row59_col4 {\n",
" background-color: #f88989;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_bc7ac_row60_col0, #T_bc7ac_row60_col2, #T_bc7ac_row63_col0, #T_bc7ac_row63_col2 {\n",
+ "#T_eb96f_row60_col0, #T_eb96f_row60_col2, #T_eb96f_row63_col0, #T_eb96f_row63_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
- "#T_bc7ac_row61_col0, #T_bc7ac_row61_col2, #T_bc7ac_row62_col0, #T_bc7ac_row62_col2 {\n",
+ "#T_eb96f_row61_col0, #T_eb96f_row61_col2, #T_eb96f_row62_col0, #T_eb96f_row62_col2 {\n",
" background-color: #e9f3e9;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_bc7ac\">\n",
+ "<table id=\"T_eb96f\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_bc7ac_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
- " <th id=\"T_bc7ac_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
- " <th id=\"T_bc7ac_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " <th id=\"T_eb96f_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_eb96f_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_eb96f_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank\" > </th>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_bc7ac_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
- " <th id=\"T_bc7ac_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
- " <th id=\"T_bc7ac_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
- " <th id=\"T_bc7ac_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
- " <th id=\"T_bc7ac_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
- " <th id=\"T_bc7ac_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " <th id=\"T_eb96f_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_eb96f_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_eb96f_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_eb96f_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_eb96f_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_eb96f_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_bc7ac_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
- " <th id=\"T_bc7ac_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
- " <td id=\"T_bc7ac_row0_col0\" class=\"data row0 col0\" >9.67</td>\n",
- " <td id=\"T_bc7ac_row0_col1\" class=\"data row0 col1\" >1.50</td>\n",
- " <td id=\"T_bc7ac_row0_col2\" class=\"data row0 col2\" >0.70</td>\n",
- " <td id=\"T_bc7ac_row0_col3\" class=\"data row0 col3\" >0.11</td>\n",
- " <td id=\"T_bc7ac_row0_col4\" class=\"data row0 col4\" >71.19</td>\n",
- " <td id=\"T_bc7ac_row0_col5\" class=\"data row0 col5\" >6.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
- " <td id=\"T_bc7ac_row1_col0\" class=\"data row1 col0\" >12.45</td>\n",
- " <td id=\"T_bc7ac_row1_col1\" class=\"data row1 col1\" >1.68</td>\n",
- " <td id=\"T_bc7ac_row1_col2\" class=\"data row1 col2\" >0.90</td>\n",
- " <td id=\"T_bc7ac_row1_col3\" class=\"data row1 col3\" >0.12</td>\n",
- " <td id=\"T_bc7ac_row1_col4\" class=\"data row1 col4\" >63.74</td>\n",
- " <td id=\"T_bc7ac_row1_col5\" class=\"data row1 col5\" >5.80</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
- " <td id=\"T_bc7ac_row2_col0\" class=\"data row2 col0\" >12.23</td>\n",
- " <td id=\"T_bc7ac_row2_col1\" class=\"data row2 col1\" >1.43</td>\n",
- " <td id=\"T_bc7ac_row2_col2\" class=\"data row2 col2\" >0.88</td>\n",
- " <td id=\"T_bc7ac_row2_col3\" class=\"data row2 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row2_col4\" class=\"data row2 col4\" >61.52</td>\n",
- " <td id=\"T_bc7ac_row2_col5\" class=\"data row2 col5\" >6.23</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
- " <td id=\"T_bc7ac_row3_col0\" class=\"data row3 col0\" >13.05</td>\n",
- " <td id=\"T_bc7ac_row3_col1\" class=\"data row3 col1\" >1.79</td>\n",
- " <td id=\"T_bc7ac_row3_col2\" class=\"data row3 col2\" >0.94</td>\n",
- " <td id=\"T_bc7ac_row3_col3\" class=\"data row3 col3\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row3_col4\" class=\"data row3 col4\" >58.69</td>\n",
- " <td id=\"T_bc7ac_row3_col5\" class=\"data row3 col5\" >6.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
- " <td id=\"T_bc7ac_row4_col0\" class=\"data row4 col0\" >25.65</td>\n",
- " <td id=\"T_bc7ac_row4_col1\" class=\"data row4 col1\" >2.46</td>\n",
- " <td id=\"T_bc7ac_row4_col2\" class=\"data row4 col2\" >1.86</td>\n",
- " <td id=\"T_bc7ac_row4_col3\" class=\"data row4 col3\" >0.18</td>\n",
- " <td id=\"T_bc7ac_row4_col4\" class=\"data row4 col4\" >29.29</td>\n",
- " <td id=\"T_bc7ac_row4_col5\" class=\"data row4 col5\" >5.82</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
- " <td id=\"T_bc7ac_row5_col0\" class=\"data row5 col0\" >6.53</td>\n",
- " <td id=\"T_bc7ac_row5_col1\" class=\"data row5 col1\" >1.36</td>\n",
- " <td id=\"T_bc7ac_row5_col2\" class=\"data row5 col2\" >0.47</td>\n",
- " <td id=\"T_bc7ac_row5_col3\" class=\"data row5 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row5_col4\" class=\"data row5 col4\" >76.85</td>\n",
- " <td id=\"T_bc7ac_row5_col5\" class=\"data row5 col5\" >6.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
- " <td id=\"T_bc7ac_row6_col0\" class=\"data row6 col0\" >6.63</td>\n",
- " <td id=\"T_bc7ac_row6_col1\" class=\"data row6 col1\" >1.33</td>\n",
- " <td id=\"T_bc7ac_row6_col2\" class=\"data row6 col2\" >0.48</td>\n",
- " <td id=\"T_bc7ac_row6_col3\" class=\"data row6 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row6_col4\" class=\"data row6 col4\" >76.05</td>\n",
- " <td id=\"T_bc7ac_row6_col5\" class=\"data row6 col5\" >6.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
- " <td id=\"T_bc7ac_row7_col0\" class=\"data row7 col0\" >6.67</td>\n",
- " <td id=\"T_bc7ac_row7_col1\" class=\"data row7 col1\" >1.41</td>\n",
- " <td id=\"T_bc7ac_row7_col2\" class=\"data row7 col2\" >0.48</td>\n",
- " <td id=\"T_bc7ac_row7_col3\" class=\"data row7 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row7_col4\" class=\"data row7 col4\" >76.69</td>\n",
- " <td id=\"T_bc7ac_row7_col5\" class=\"data row7 col5\" >5.02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
- " <td id=\"T_bc7ac_row8_col0\" class=\"data row8 col0\" >4.72</td>\n",
- " <td id=\"T_bc7ac_row8_col1\" class=\"data row8 col1\" >1.26</td>\n",
- " <td id=\"T_bc7ac_row8_col2\" class=\"data row8 col2\" >0.34</td>\n",
- " <td id=\"T_bc7ac_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row8_col4\" class=\"data row8 col4\" >84.17</td>\n",
- " <td id=\"T_bc7ac_row8_col5\" class=\"data row8 col5\" >5.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
- " <td id=\"T_bc7ac_row9_col0\" class=\"data row9 col0\" >28.32</td>\n",
- " <td id=\"T_bc7ac_row9_col1\" class=\"data row9 col1\" >2.90</td>\n",
- " <td id=\"T_bc7ac_row9_col2\" class=\"data row9 col2\" >2.05</td>\n",
- " <td id=\"T_bc7ac_row9_col3\" class=\"data row9 col3\" >0.21</td>\n",
- " <td id=\"T_bc7ac_row9_col4\" class=\"data row9 col4\" >19.46</td>\n",
- " <td id=\"T_bc7ac_row9_col5\" class=\"data row9 col5\" >5.24</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
- " <td id=\"T_bc7ac_row10_col0\" class=\"data row10 col0\" >5.72</td>\n",
- " <td id=\"T_bc7ac_row10_col1\" class=\"data row10 col1\" >1.50</td>\n",
- " <td id=\"T_bc7ac_row10_col2\" class=\"data row10 col2\" >0.41</td>\n",
- " <td id=\"T_bc7ac_row10_col3\" class=\"data row10 col3\" >0.11</td>\n",
- " <td id=\"T_bc7ac_row10_col4\" class=\"data row10 col4\" >77.97</td>\n",
- " <td id=\"T_bc7ac_row10_col5\" class=\"data row10 col5\" >6.01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
- " <td id=\"T_bc7ac_row11_col0\" class=\"data row11 col0\" >6.28</td>\n",
- " <td id=\"T_bc7ac_row11_col1\" class=\"data row11 col1\" >1.30</td>\n",
- " <td id=\"T_bc7ac_row11_col2\" class=\"data row11 col2\" >0.45</td>\n",
- " <td id=\"T_bc7ac_row11_col3\" class=\"data row11 col3\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row11_col4\" class=\"data row11 col4\" >77.96</td>\n",
- " <td id=\"T_bc7ac_row11_col5\" class=\"data row11 col5\" >5.45</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
- " <td id=\"T_bc7ac_row12_col0\" class=\"data row12 col0\" >4.95</td>\n",
- " <td id=\"T_bc7ac_row12_col1\" class=\"data row12 col1\" >1.62</td>\n",
- " <td id=\"T_bc7ac_row12_col2\" class=\"data row12 col2\" >0.36</td>\n",
- " <td id=\"T_bc7ac_row12_col3\" class=\"data row12 col3\" >0.12</td>\n",
- " <td id=\"T_bc7ac_row12_col4\" class=\"data row12 col4\" >83.52</td>\n",
- " <td id=\"T_bc7ac_row12_col5\" class=\"data row12 col5\" >5.45</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
- " <td id=\"T_bc7ac_row13_col0\" class=\"data row13 col0\" >5.69</td>\n",
- " <td id=\"T_bc7ac_row13_col1\" class=\"data row13 col1\" >1.46</td>\n",
- " <td id=\"T_bc7ac_row13_col2\" class=\"data row13 col2\" >0.41</td>\n",
- " <td id=\"T_bc7ac_row13_col3\" class=\"data row13 col3\" >0.11</td>\n",
- " <td id=\"T_bc7ac_row13_col4\" class=\"data row13 col4\" >80.02</td>\n",
- " <td id=\"T_bc7ac_row13_col5\" class=\"data row13 col5\" >5.83</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
- " <td id=\"T_bc7ac_row14_col0\" class=\"data row14 col0\" >28.58</td>\n",
- " <td id=\"T_bc7ac_row14_col1\" class=\"data row14 col1\" >3.02</td>\n",
- " <td id=\"T_bc7ac_row14_col2\" class=\"data row14 col2\" >2.07</td>\n",
- " <td id=\"T_bc7ac_row14_col3\" class=\"data row14 col3\" >0.22</td>\n",
- " <td id=\"T_bc7ac_row14_col4\" class=\"data row14 col4\" >16.84</td>\n",
- " <td id=\"T_bc7ac_row14_col5\" class=\"data row14 col5\" >4.27</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
- " <td id=\"T_bc7ac_row15_col0\" class=\"data row15 col0\" >5.87</td>\n",
- " <td id=\"T_bc7ac_row15_col1\" class=\"data row15 col1\" >1.32</td>\n",
- " <td id=\"T_bc7ac_row15_col2\" class=\"data row15 col2\" >0.42</td>\n",
- " <td id=\"T_bc7ac_row15_col3\" class=\"data row15 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row15_col4\" class=\"data row15 col4\" >79.14</td>\n",
- " <td id=\"T_bc7ac_row15_col5\" class=\"data row15 col5\" >5.60</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
- " <td id=\"T_bc7ac_row16_col0\" class=\"data row16 col0\" >4.36</td>\n",
- " <td id=\"T_bc7ac_row16_col1\" class=\"data row16 col1\" >1.39</td>\n",
- " <td id=\"T_bc7ac_row16_col2\" class=\"data row16 col2\" >0.32</td>\n",
- " <td id=\"T_bc7ac_row16_col3\" class=\"data row16 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row16_col4\" class=\"data row16 col4\" >85.38</td>\n",
- " <td id=\"T_bc7ac_row16_col5\" class=\"data row16 col5\" >5.34</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
- " <td id=\"T_bc7ac_row17_col0\" class=\"data row17 col0\" >5.91</td>\n",
- " <td id=\"T_bc7ac_row17_col1\" class=\"data row17 col1\" >1.41</td>\n",
- " <td id=\"T_bc7ac_row17_col2\" class=\"data row17 col2\" >0.43</td>\n",
- " <td id=\"T_bc7ac_row17_col3\" class=\"data row17 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row17_col4\" class=\"data row17 col4\" >79.42</td>\n",
- " <td id=\"T_bc7ac_row17_col5\" class=\"data row17 col5\" >5.58</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
- " <td id=\"T_bc7ac_row18_col0\" class=\"data row18 col0\" >6.34</td>\n",
- " <td id=\"T_bc7ac_row18_col1\" class=\"data row18 col1\" >1.34</td>\n",
- " <td id=\"T_bc7ac_row18_col2\" class=\"data row18 col2\" >0.46</td>\n",
- " <td id=\"T_bc7ac_row18_col3\" class=\"data row18 col3\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row18_col4\" class=\"data row18 col4\" >76.68</td>\n",
- " <td id=\"T_bc7ac_row18_col5\" class=\"data row18 col5\" >6.14</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
- " <td id=\"T_bc7ac_row19_col0\" class=\"data row19 col0\" >28.46</td>\n",
- " <td id=\"T_bc7ac_row19_col1\" class=\"data row19 col1\" >2.94</td>\n",
- " <td id=\"T_bc7ac_row19_col2\" class=\"data row19 col2\" >2.06</td>\n",
- " <td id=\"T_bc7ac_row19_col3\" class=\"data row19 col3\" >0.21</td>\n",
- " <td id=\"T_bc7ac_row19_col4\" class=\"data row19 col4\" >16.77</td>\n",
- " <td id=\"T_bc7ac_row19_col5\" class=\"data row19 col5\" >3.95</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
- " <td id=\"T_bc7ac_row20_col0\" class=\"data row20 col0\" >5.85</td>\n",
- " <td id=\"T_bc7ac_row20_col1\" class=\"data row20 col1\" >2.05</td>\n",
- " <td id=\"T_bc7ac_row20_col2\" class=\"data row20 col2\" >0.42</td>\n",
- " <td id=\"T_bc7ac_row20_col3\" class=\"data row20 col3\" >0.15</td>\n",
- " <td id=\"T_bc7ac_row20_col4\" class=\"data row20 col4\" >47.49</td>\n",
- " <td id=\"T_bc7ac_row20_col5\" class=\"data row20 col5\" >5.83</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
- " <td id=\"T_bc7ac_row21_col0\" class=\"data row21 col0\" >10.68</td>\n",
- " <td id=\"T_bc7ac_row21_col1\" class=\"data row21 col1\" >1.86</td>\n",
- " <td id=\"T_bc7ac_row21_col2\" class=\"data row21 col2\" >0.77</td>\n",
- " <td id=\"T_bc7ac_row21_col3\" class=\"data row21 col3\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row21_col4\" class=\"data row21 col4\" >34.08</td>\n",
- " <td id=\"T_bc7ac_row21_col5\" class=\"data row21 col5\" >5.57</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
- " <td id=\"T_bc7ac_row22_col0\" class=\"data row22 col0\" >3.03</td>\n",
- " <td id=\"T_bc7ac_row22_col1\" class=\"data row22 col1\" >1.12</td>\n",
- " <td id=\"T_bc7ac_row22_col2\" class=\"data row22 col2\" >0.22</td>\n",
- " <td id=\"T_bc7ac_row22_col3\" class=\"data row22 col3\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row22_col4\" class=\"data row22 col4\" >87.18</td>\n",
- " <td id=\"T_bc7ac_row22_col5\" class=\"data row22 col5\" >5.26</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
- " <td id=\"T_bc7ac_row23_col0\" class=\"data row23 col0\" >2.61</td>\n",
- " <td id=\"T_bc7ac_row23_col1\" class=\"data row23 col1\" >1.07</td>\n",
- " <td id=\"T_bc7ac_row23_col2\" class=\"data row23 col2\" >0.19</td>\n",
- " <td id=\"T_bc7ac_row23_col3\" class=\"data row23 col3\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row23_col4\" class=\"data row23 col4\" >89.15</td>\n",
- " <td id=\"T_bc7ac_row23_col5\" class=\"data row23 col5\" >5.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
- " <td id=\"T_bc7ac_row24_col0\" class=\"data row24 col0\" >5.19</td>\n",
- " <td id=\"T_bc7ac_row24_col1\" class=\"data row24 col1\" >1.87</td>\n",
- " <td id=\"T_bc7ac_row24_col2\" class=\"data row24 col2\" >0.38</td>\n",
- " <td id=\"T_bc7ac_row24_col3\" class=\"data row24 col3\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row24_col4\" class=\"data row24 col4\" >48.46</td>\n",
- " <td id=\"T_bc7ac_row24_col5\" class=\"data row24 col5\" >6.27</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
- " <td id=\"T_bc7ac_row25_col0\" class=\"data row25 col0\" >2.86</td>\n",
- " <td id=\"T_bc7ac_row25_col1\" class=\"data row25 col1\" >1.19</td>\n",
- " <td id=\"T_bc7ac_row25_col2\" class=\"data row25 col2\" >0.21</td>\n",
- " <td id=\"T_bc7ac_row25_col3\" class=\"data row25 col3\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row25_col4\" class=\"data row25 col4\" >88.69</td>\n",
- " <td id=\"T_bc7ac_row25_col5\" class=\"data row25 col5\" >5.13</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
- " <td id=\"T_bc7ac_row26_col0\" class=\"data row26 col0\" >10.67</td>\n",
- " <td id=\"T_bc7ac_row26_col1\" class=\"data row26 col1\" >1.75</td>\n",
- " <td id=\"T_bc7ac_row26_col2\" class=\"data row26 col2\" >0.77</td>\n",
- " <td id=\"T_bc7ac_row26_col3\" class=\"data row26 col3\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row26_col4\" class=\"data row26 col4\" >31.54</td>\n",
- " <td id=\"T_bc7ac_row26_col5\" class=\"data row26 col5\" >5.01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
- " <td id=\"T_bc7ac_row27_col0\" class=\"data row27 col0\" >2.53</td>\n",
- " <td id=\"T_bc7ac_row27_col1\" class=\"data row27 col1\" >1.03</td>\n",
- " <td id=\"T_bc7ac_row27_col2\" class=\"data row27 col2\" >0.18</td>\n",
- " <td id=\"T_bc7ac_row27_col3\" class=\"data row27 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row27_col4\" class=\"data row27 col4\" >89.15</td>\n",
- " <td id=\"T_bc7ac_row27_col5\" class=\"data row27 col5\" >4.91</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
- " <td id=\"T_bc7ac_row28_col0\" class=\"data row28 col0\" >4.80</td>\n",
- " <td id=\"T_bc7ac_row28_col1\" class=\"data row28 col1\" >1.93</td>\n",
- " <td id=\"T_bc7ac_row28_col2\" class=\"data row28 col2\" >0.35</td>\n",
- " <td id=\"T_bc7ac_row28_col3\" class=\"data row28 col3\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row28_col4\" class=\"data row28 col4\" >49.84</td>\n",
- " <td id=\"T_bc7ac_row28_col5\" class=\"data row28 col5\" >6.76</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
- " <td id=\"T_bc7ac_row29_col0\" class=\"data row29 col0\" >3.30</td>\n",
- " <td id=\"T_bc7ac_row29_col1\" class=\"data row29 col1\" >1.27</td>\n",
- " <td id=\"T_bc7ac_row29_col2\" class=\"data row29 col2\" >0.24</td>\n",
- " <td id=\"T_bc7ac_row29_col3\" class=\"data row29 col3\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row29_col4\" class=\"data row29 col4\" >86.79</td>\n",
- " <td id=\"T_bc7ac_row29_col5\" class=\"data row29 col5\" >5.52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
- " <td id=\"T_bc7ac_row30_col0\" class=\"data row30 col0\" >3.08</td>\n",
- " <td id=\"T_bc7ac_row30_col1\" class=\"data row30 col1\" >1.10</td>\n",
- " <td id=\"T_bc7ac_row30_col2\" class=\"data row30 col2\" >0.22</td>\n",
- " <td id=\"T_bc7ac_row30_col3\" class=\"data row30 col3\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row30_col4\" class=\"data row30 col4\" >87.40</td>\n",
- " <td id=\"T_bc7ac_row30_col5\" class=\"data row30 col5\" >5.39</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
- " <td id=\"T_bc7ac_row31_col0\" class=\"data row31 col0\" >9.29</td>\n",
- " <td id=\"T_bc7ac_row31_col1\" class=\"data row31 col1\" >1.80</td>\n",
- " <td id=\"T_bc7ac_row31_col2\" class=\"data row31 col2\" >0.67</td>\n",
- " <td id=\"T_bc7ac_row31_col3\" class=\"data row31 col3\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row31_col4\" class=\"data row31 col4\" >33.08</td>\n",
- " <td id=\"T_bc7ac_row31_col5\" class=\"data row31 col5\" >5.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
- " <td id=\"T_bc7ac_row32_col0\" class=\"data row32 col0\" >1.79</td>\n",
- " <td id=\"T_bc7ac_row32_col1\" class=\"data row32 col1\" >1.00</td>\n",
- " <td id=\"T_bc7ac_row32_col2\" class=\"data row32 col2\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row32_col3\" class=\"data row32 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row32_col4\" class=\"data row32 col4\" >92.52</td>\n",
- " <td id=\"T_bc7ac_row32_col5\" class=\"data row32 col5\" >4.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
- " <td id=\"T_bc7ac_row33_col0\" class=\"data row33 col0\" >5.41</td>\n",
- " <td id=\"T_bc7ac_row33_col1\" class=\"data row33 col1\" >1.96</td>\n",
- " <td id=\"T_bc7ac_row33_col2\" class=\"data row33 col2\" >0.39</td>\n",
- " <td id=\"T_bc7ac_row33_col3\" class=\"data row33 col3\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row33_col4\" class=\"data row33 col4\" >38.66</td>\n",
- " <td id=\"T_bc7ac_row33_col5\" class=\"data row33 col5\" >5.69</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
- " <td id=\"T_bc7ac_row34_col0\" class=\"data row34 col0\" >5.68</td>\n",
- " <td id=\"T_bc7ac_row34_col1\" class=\"data row34 col1\" >1.88</td>\n",
- " <td id=\"T_bc7ac_row34_col2\" class=\"data row34 col2\" >0.41</td>\n",
- " <td id=\"T_bc7ac_row34_col3\" class=\"data row34 col3\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row34_col4\" class=\"data row34 col4\" >36.44</td>\n",
- " <td id=\"T_bc7ac_row34_col5\" class=\"data row34 col5\" >5.39</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
- " <td id=\"T_bc7ac_row35_col0\" class=\"data row35 col0\" >2.32</td>\n",
- " <td id=\"T_bc7ac_row35_col1\" class=\"data row35 col1\" >0.94</td>\n",
- " <td id=\"T_bc7ac_row35_col2\" class=\"data row35 col2\" >0.17</td>\n",
- " <td id=\"T_bc7ac_row35_col3\" class=\"data row35 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row35_col4\" class=\"data row35 col4\" >90.12</td>\n",
- " <td id=\"T_bc7ac_row35_col5\" class=\"data row35 col5\" >4.72</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
- " <td id=\"T_bc7ac_row36_col0\" class=\"data row36 col0\" >1.76</td>\n",
- " <td id=\"T_bc7ac_row36_col1\" class=\"data row36 col1\" >0.97</td>\n",
- " <td id=\"T_bc7ac_row36_col2\" class=\"data row36 col2\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row36_col3\" class=\"data row36 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row36_col4\" class=\"data row36 col4\" >93.26</td>\n",
- " <td id=\"T_bc7ac_row36_col5\" class=\"data row36 col5\" >4.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
- " <td id=\"T_bc7ac_row37_col0\" class=\"data row37 col0\" >5.71</td>\n",
- " <td id=\"T_bc7ac_row37_col1\" class=\"data row37 col1\" >1.95</td>\n",
- " <td id=\"T_bc7ac_row37_col2\" class=\"data row37 col2\" >0.41</td>\n",
- " <td id=\"T_bc7ac_row37_col3\" class=\"data row37 col3\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row37_col4\" class=\"data row37 col4\" >39.26</td>\n",
- " <td id=\"T_bc7ac_row37_col5\" class=\"data row37 col5\" >5.88</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
- " <td id=\"T_bc7ac_row38_col0\" class=\"data row38 col0\" >2.60</td>\n",
- " <td id=\"T_bc7ac_row38_col1\" class=\"data row38 col1\" >1.08</td>\n",
- " <td id=\"T_bc7ac_row38_col2\" class=\"data row38 col2\" >0.19</td>\n",
- " <td id=\"T_bc7ac_row38_col3\" class=\"data row38 col3\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row38_col4\" class=\"data row38 col4\" >88.32</td>\n",
- " <td id=\"T_bc7ac_row38_col5\" class=\"data row38 col5\" >4.89</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
- " <td id=\"T_bc7ac_row39_col0\" class=\"data row39 col0\" >5.38</td>\n",
- " <td id=\"T_bc7ac_row39_col1\" class=\"data row39 col1\" >1.65</td>\n",
- " <td id=\"T_bc7ac_row39_col2\" class=\"data row39 col2\" >0.39</td>\n",
- " <td id=\"T_bc7ac_row39_col3\" class=\"data row39 col3\" >0.12</td>\n",
- " <td id=\"T_bc7ac_row39_col4\" class=\"data row39 col4\" >36.36</td>\n",
- " <td id=\"T_bc7ac_row39_col5\" class=\"data row39 col5\" >4.88</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
- " <td id=\"T_bc7ac_row40_col0\" class=\"data row40 col0\" >1.68</td>\n",
- " <td id=\"T_bc7ac_row40_col1\" class=\"data row40 col1\" >0.97</td>\n",
- " <td id=\"T_bc7ac_row40_col2\" class=\"data row40 col2\" >0.12</td>\n",
- " <td id=\"T_bc7ac_row40_col3\" class=\"data row40 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row40_col4\" class=\"data row40 col4\" >92.87</td>\n",
- " <td id=\"T_bc7ac_row40_col5\" class=\"data row40 col5\" >4.20</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
- " <td id=\"T_bc7ac_row41_col0\" class=\"data row41 col0\" >2.47</td>\n",
- " <td id=\"T_bc7ac_row41_col1\" class=\"data row41 col1\" >1.12</td>\n",
- " <td id=\"T_bc7ac_row41_col2\" class=\"data row41 col2\" >0.18</td>\n",
- " <td id=\"T_bc7ac_row41_col3\" class=\"data row41 col3\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row41_col4\" class=\"data row41 col4\" >90.41</td>\n",
- " <td id=\"T_bc7ac_row41_col5\" class=\"data row41 col5\" >4.48</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
- " <td id=\"T_bc7ac_row42_col0\" class=\"data row42 col0\" >5.52</td>\n",
- " <td id=\"T_bc7ac_row42_col1\" class=\"data row42 col1\" >2.02</td>\n",
- " <td id=\"T_bc7ac_row42_col2\" class=\"data row42 col2\" >0.40</td>\n",
- " <td id=\"T_bc7ac_row42_col3\" class=\"data row42 col3\" >0.15</td>\n",
- " <td id=\"T_bc7ac_row42_col4\" class=\"data row42 col4\" >36.45</td>\n",
- " <td id=\"T_bc7ac_row42_col5\" class=\"data row42 col5\" >5.47</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
- " <td id=\"T_bc7ac_row43_col0\" class=\"data row43 col0\" >5.33</td>\n",
- " <td id=\"T_bc7ac_row43_col1\" class=\"data row43 col1\" >1.95</td>\n",
- " <td id=\"T_bc7ac_row43_col2\" class=\"data row43 col2\" >0.39</td>\n",
- " <td id=\"T_bc7ac_row43_col3\" class=\"data row43 col3\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row43_col4\" class=\"data row43 col4\" >37.66</td>\n",
- " <td id=\"T_bc7ac_row43_col5\" class=\"data row43 col5\" >5.01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
- " <th id=\"T_bc7ac_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
- " <td id=\"T_bc7ac_row44_col0\" class=\"data row44 col0\" >1.13</td>\n",
- " <td id=\"T_bc7ac_row44_col1\" class=\"data row44 col1\" >0.84</td>\n",
- " <td id=\"T_bc7ac_row44_col2\" class=\"data row44 col2\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row44_col3\" class=\"data row44 col3\" >0.06</td>\n",
- " <td id=\"T_bc7ac_row44_col4\" class=\"data row44 col4\" >60.17</td>\n",
- " <td id=\"T_bc7ac_row44_col5\" class=\"data row44 col5\" >6.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
- " <td id=\"T_bc7ac_row45_col0\" class=\"data row45 col0\" >1.74</td>\n",
- " <td id=\"T_bc7ac_row45_col1\" class=\"data row45 col1\" >0.93</td>\n",
- " <td id=\"T_bc7ac_row45_col2\" class=\"data row45 col2\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row45_col3\" class=\"data row45 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row45_col4\" class=\"data row45 col4\" >52.45</td>\n",
- " <td id=\"T_bc7ac_row45_col5\" class=\"data row45 col5\" >5.74</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
- " <td id=\"T_bc7ac_row46_col0\" class=\"data row46 col0\" >1.89</td>\n",
- " <td id=\"T_bc7ac_row46_col1\" class=\"data row46 col1\" >0.96</td>\n",
- " <td id=\"T_bc7ac_row46_col2\" class=\"data row46 col2\" >0.14</td>\n",
- " <td id=\"T_bc7ac_row46_col3\" class=\"data row46 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row46_col4\" class=\"data row46 col4\" >47.52</td>\n",
- " <td id=\"T_bc7ac_row46_col5\" class=\"data row46 col5\" >6.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
- " <td id=\"T_bc7ac_row47_col0\" class=\"data row47 col0\" >0.79</td>\n",
- " <td id=\"T_bc7ac_row47_col1\" class=\"data row47 col1\" >0.68</td>\n",
- " <td id=\"T_bc7ac_row47_col2\" class=\"data row47 col2\" >0.06</td>\n",
- " <td id=\"T_bc7ac_row47_col3\" class=\"data row47 col3\" >0.05</td>\n",
- " <td id=\"T_bc7ac_row47_col4\" class=\"data row47 col4\" >95.89</td>\n",
- " <td id=\"T_bc7ac_row47_col5\" class=\"data row47 col5\" >3.73</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
- " <td id=\"T_bc7ac_row48_col0\" class=\"data row48 col0\" >1.13</td>\n",
- " <td id=\"T_bc7ac_row48_col1\" class=\"data row48 col1\" >0.77</td>\n",
- " <td id=\"T_bc7ac_row48_col2\" class=\"data row48 col2\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row48_col3\" class=\"data row48 col3\" >0.06</td>\n",
- " <td id=\"T_bc7ac_row48_col4\" class=\"data row48 col4\" >61.42</td>\n",
- " <td id=\"T_bc7ac_row48_col5\" class=\"data row48 col5\" >6.16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
- " <td id=\"T_bc7ac_row49_col0\" class=\"data row49 col0\" >2.35</td>\n",
- " <td id=\"T_bc7ac_row49_col1\" class=\"data row49 col1\" >1.20</td>\n",
- " <td id=\"T_bc7ac_row49_col2\" class=\"data row49 col2\" >0.17</td>\n",
- " <td id=\"T_bc7ac_row49_col3\" class=\"data row49 col3\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row49_col4\" class=\"data row49 col4\" >52.51</td>\n",
- " <td id=\"T_bc7ac_row49_col5\" class=\"data row49 col5\" >5.76</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
- " <td id=\"T_bc7ac_row50_col0\" class=\"data row50 col0\" >1.16</td>\n",
- " <td id=\"T_bc7ac_row50_col1\" class=\"data row50 col1\" >0.92</td>\n",
- " <td id=\"T_bc7ac_row50_col2\" class=\"data row50 col2\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row50_col3\" class=\"data row50 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row50_col4\" class=\"data row50 col4\" >94.37</td>\n",
- " <td id=\"T_bc7ac_row50_col5\" class=\"data row50 col5\" >4.36</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
- " <td id=\"T_bc7ac_row51_col0\" class=\"data row51 col0\" >1.74</td>\n",
- " <td id=\"T_bc7ac_row51_col1\" class=\"data row51 col1\" >0.89</td>\n",
- " <td id=\"T_bc7ac_row51_col2\" class=\"data row51 col2\" >0.13</td>\n",
- " <td id=\"T_bc7ac_row51_col3\" class=\"data row51 col3\" >0.06</td>\n",
- " <td id=\"T_bc7ac_row51_col4\" class=\"data row51 col4\" >47.53</td>\n",
- " <td id=\"T_bc7ac_row51_col5\" class=\"data row51 col5\" >5.79</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
- " <td id=\"T_bc7ac_row52_col0\" class=\"data row52 col0\" >0.99</td>\n",
- " <td id=\"T_bc7ac_row52_col1\" class=\"data row52 col1\" >0.70</td>\n",
- " <td id=\"T_bc7ac_row52_col2\" class=\"data row52 col2\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row52_col3\" class=\"data row52 col3\" >0.05</td>\n",
- " <td id=\"T_bc7ac_row52_col4\" class=\"data row52 col4\" >61.81</td>\n",
- " <td id=\"T_bc7ac_row52_col5\" class=\"data row52 col5\" >6.46</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
- " <td id=\"T_bc7ac_row53_col0\" class=\"data row53 col0\" >1.25</td>\n",
- " <td id=\"T_bc7ac_row53_col1\" class=\"data row53 col1\" >0.96</td>\n",
- " <td id=\"T_bc7ac_row53_col2\" class=\"data row53 col2\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row53_col3\" class=\"data row53 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row53_col4\" class=\"data row53 col4\" >94.49</td>\n",
- " <td id=\"T_bc7ac_row53_col5\" class=\"data row53 col5\" >4.32</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
- " <td id=\"T_bc7ac_row54_col0\" class=\"data row54 col0\" >2.29</td>\n",
- " <td id=\"T_bc7ac_row54_col1\" class=\"data row54 col1\" >1.28</td>\n",
- " <td id=\"T_bc7ac_row54_col2\" class=\"data row54 col2\" >0.17</td>\n",
- " <td id=\"T_bc7ac_row54_col3\" class=\"data row54 col3\" >0.09</td>\n",
- " <td id=\"T_bc7ac_row54_col4\" class=\"data row54 col4\" >50.81</td>\n",
- " <td id=\"T_bc7ac_row54_col5\" class=\"data row54 col5\" >5.79</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
- " <td id=\"T_bc7ac_row55_col0\" class=\"data row55 col0\" >1.55</td>\n",
- " <td id=\"T_bc7ac_row55_col1\" class=\"data row55 col1\" >0.90</td>\n",
- " <td id=\"T_bc7ac_row55_col2\" class=\"data row55 col2\" >0.11</td>\n",
- " <td id=\"T_bc7ac_row55_col3\" class=\"data row55 col3\" >0.07</td>\n",
- " <td id=\"T_bc7ac_row55_col4\" class=\"data row55 col4\" >48.77</td>\n",
- " <td id=\"T_bc7ac_row55_col5\" class=\"data row55 col5\" >6.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
- " <td id=\"T_bc7ac_row56_col0\" class=\"data row56 col0\" >0.66</td>\n",
- " <td id=\"T_bc7ac_row56_col1\" class=\"data row56 col1\" >0.73</td>\n",
- " <td id=\"T_bc7ac_row56_col2\" class=\"data row56 col2\" >0.05</td>\n",
- " <td id=\"T_bc7ac_row56_col3\" class=\"data row56 col3\" >0.05</td>\n",
- " <td id=\"T_bc7ac_row56_col4\" class=\"data row56 col4\" >96.98</td>\n",
- " <td id=\"T_bc7ac_row56_col5\" class=\"data row56 col5\" >2.99</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
- " <td id=\"T_bc7ac_row57_col0\" class=\"data row57 col0\" >1.11</td>\n",
- " <td id=\"T_bc7ac_row57_col1\" class=\"data row57 col1\" >0.76</td>\n",
- " <td id=\"T_bc7ac_row57_col2\" class=\"data row57 col2\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row57_col3\" class=\"data row57 col3\" >0.05</td>\n",
- " <td id=\"T_bc7ac_row57_col4\" class=\"data row57 col4\" >54.44</td>\n",
- " <td id=\"T_bc7ac_row57_col5\" class=\"data row57 col5\" >6.30</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
- " <td id=\"T_bc7ac_row58_col0\" class=\"data row58 col0\" >1.38</td>\n",
- " <td id=\"T_bc7ac_row58_col1\" class=\"data row58 col1\" >0.81</td>\n",
- " <td id=\"T_bc7ac_row58_col2\" class=\"data row58 col2\" >0.10</td>\n",
- " <td id=\"T_bc7ac_row58_col3\" class=\"data row58 col3\" >0.06</td>\n",
- " <td id=\"T_bc7ac_row58_col4\" class=\"data row58 col4\" >53.51</td>\n",
- " <td id=\"T_bc7ac_row58_col5\" class=\"data row58 col5\" >6.33</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
- " <td id=\"T_bc7ac_row59_col0\" class=\"data row59 col0\" >1.10</td>\n",
- " <td id=\"T_bc7ac_row59_col1\" class=\"data row59 col1\" >0.68</td>\n",
- " <td id=\"T_bc7ac_row59_col2\" class=\"data row59 col2\" >0.08</td>\n",
- " <td id=\"T_bc7ac_row59_col3\" class=\"data row59 col3\" >0.05</td>\n",
- " <td id=\"T_bc7ac_row59_col4\" class=\"data row59 col4\" >50.98</td>\n",
- " <td id=\"T_bc7ac_row59_col5\" class=\"data row59 col5\" >5.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
- " <th id=\"T_bc7ac_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
- " <td id=\"T_bc7ac_row60_col0\" class=\"data row60 col0\" >0.25</td>\n",
- " <td id=\"T_bc7ac_row60_col1\" class=\"data row60 col1\" >0.32</td>\n",
- " <td id=\"T_bc7ac_row60_col2\" class=\"data row60 col2\" >0.02</td>\n",
- " <td id=\"T_bc7ac_row60_col3\" class=\"data row60 col3\" >0.02</td>\n",
- " <td id=\"T_bc7ac_row60_col4\" class=\"data row60 col4\" >71.19</td>\n",
- " <td id=\"T_bc7ac_row60_col5\" class=\"data row60 col5\" >6.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
- " <td id=\"T_bc7ac_row61_col0\" class=\"data row61 col0\" >0.41</td>\n",
- " <td id=\"T_bc7ac_row61_col1\" class=\"data row61 col1\" >0.39</td>\n",
- " <td id=\"T_bc7ac_row61_col2\" class=\"data row61 col2\" >0.03</td>\n",
- " <td id=\"T_bc7ac_row61_col3\" class=\"data row61 col3\" >0.03</td>\n",
- " <td id=\"T_bc7ac_row61_col4\" class=\"data row61 col4\" >63.74</td>\n",
- " <td id=\"T_bc7ac_row61_col5\" class=\"data row61 col5\" >5.80</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
- " <td id=\"T_bc7ac_row62_col0\" class=\"data row62 col0\" >0.47</td>\n",
- " <td id=\"T_bc7ac_row62_col1\" class=\"data row62 col1\" >0.46</td>\n",
- " <td id=\"T_bc7ac_row62_col2\" class=\"data row62 col2\" >0.03</td>\n",
- " <td id=\"T_bc7ac_row62_col3\" class=\"data row62 col3\" >0.03</td>\n",
- " <td id=\"T_bc7ac_row62_col4\" class=\"data row62 col4\" >61.52</td>\n",
- " <td id=\"T_bc7ac_row62_col5\" class=\"data row62 col5\" >6.23</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_bc7ac_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
- " <td id=\"T_bc7ac_row63_col0\" class=\"data row63 col0\" >0.17</td>\n",
- " <td id=\"T_bc7ac_row63_col1\" class=\"data row63 col1\" >0.19</td>\n",
- " <td id=\"T_bc7ac_row63_col2\" class=\"data row63 col2\" >0.01</td>\n",
- " <td id=\"T_bc7ac_row63_col3\" class=\"data row63 col3\" >0.01</td>\n",
- " <td id=\"T_bc7ac_row63_col4\" class=\"data row63 col4\" >58.69</td>\n",
- " <td id=\"T_bc7ac_row63_col5\" class=\"data row63 col5\" >6.07</td>\n",
+ " <th id=\"T_eb96f_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_eb96f_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_eb96f_row0_col0\" class=\"data row0 col0\" >9.67</td>\n",
+ " <td id=\"T_eb96f_row0_col1\" class=\"data row0 col1\" >1.50</td>\n",
+ " <td id=\"T_eb96f_row0_col2\" class=\"data row0 col2\" >0.70</td>\n",
+ " <td id=\"T_eb96f_row0_col3\" class=\"data row0 col3\" >0.11</td>\n",
+ " <td id=\"T_eb96f_row0_col4\" class=\"data row0 col4\" >71.19</td>\n",
+ " <td id=\"T_eb96f_row0_col5\" class=\"data row0 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_eb96f_row1_col0\" class=\"data row1 col0\" >12.45</td>\n",
+ " <td id=\"T_eb96f_row1_col1\" class=\"data row1 col1\" >1.68</td>\n",
+ " <td id=\"T_eb96f_row1_col2\" class=\"data row1 col2\" >0.90</td>\n",
+ " <td id=\"T_eb96f_row1_col3\" class=\"data row1 col3\" >0.12</td>\n",
+ " <td id=\"T_eb96f_row1_col4\" class=\"data row1 col4\" >63.74</td>\n",
+ " <td id=\"T_eb96f_row1_col5\" class=\"data row1 col5\" >5.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_eb96f_row2_col0\" class=\"data row2 col0\" >12.23</td>\n",
+ " <td id=\"T_eb96f_row2_col1\" class=\"data row2 col1\" >1.43</td>\n",
+ " <td id=\"T_eb96f_row2_col2\" class=\"data row2 col2\" >0.88</td>\n",
+ " <td id=\"T_eb96f_row2_col3\" class=\"data row2 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row2_col4\" class=\"data row2 col4\" >61.52</td>\n",
+ " <td id=\"T_eb96f_row2_col5\" class=\"data row2 col5\" >6.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_eb96f_row3_col0\" class=\"data row3 col0\" >13.05</td>\n",
+ " <td id=\"T_eb96f_row3_col1\" class=\"data row3 col1\" >1.79</td>\n",
+ " <td id=\"T_eb96f_row3_col2\" class=\"data row3 col2\" >0.94</td>\n",
+ " <td id=\"T_eb96f_row3_col3\" class=\"data row3 col3\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row3_col4\" class=\"data row3 col4\" >58.69</td>\n",
+ " <td id=\"T_eb96f_row3_col5\" class=\"data row3 col5\" >6.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_eb96f_row4_col0\" class=\"data row4 col0\" >25.65</td>\n",
+ " <td id=\"T_eb96f_row4_col1\" class=\"data row4 col1\" >2.46</td>\n",
+ " <td id=\"T_eb96f_row4_col2\" class=\"data row4 col2\" >1.86</td>\n",
+ " <td id=\"T_eb96f_row4_col3\" class=\"data row4 col3\" >0.18</td>\n",
+ " <td id=\"T_eb96f_row4_col4\" class=\"data row4 col4\" >29.29</td>\n",
+ " <td id=\"T_eb96f_row4_col5\" class=\"data row4 col5\" >5.82</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_eb96f_row5_col0\" class=\"data row5 col0\" >6.53</td>\n",
+ " <td id=\"T_eb96f_row5_col1\" class=\"data row5 col1\" >1.36</td>\n",
+ " <td id=\"T_eb96f_row5_col2\" class=\"data row5 col2\" >0.47</td>\n",
+ " <td id=\"T_eb96f_row5_col3\" class=\"data row5 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row5_col4\" class=\"data row5 col4\" >76.85</td>\n",
+ " <td id=\"T_eb96f_row5_col5\" class=\"data row5 col5\" >6.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_eb96f_row6_col0\" class=\"data row6 col0\" >6.63</td>\n",
+ " <td id=\"T_eb96f_row6_col1\" class=\"data row6 col1\" >1.33</td>\n",
+ " <td id=\"T_eb96f_row6_col2\" class=\"data row6 col2\" >0.48</td>\n",
+ " <td id=\"T_eb96f_row6_col3\" class=\"data row6 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row6_col4\" class=\"data row6 col4\" >76.05</td>\n",
+ " <td id=\"T_eb96f_row6_col5\" class=\"data row6 col5\" >6.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_eb96f_row7_col0\" class=\"data row7 col0\" >6.67</td>\n",
+ " <td id=\"T_eb96f_row7_col1\" class=\"data row7 col1\" >1.41</td>\n",
+ " <td id=\"T_eb96f_row7_col2\" class=\"data row7 col2\" >0.48</td>\n",
+ " <td id=\"T_eb96f_row7_col3\" class=\"data row7 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row7_col4\" class=\"data row7 col4\" >76.69</td>\n",
+ " <td id=\"T_eb96f_row7_col5\" class=\"data row7 col5\" >5.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_eb96f_row8_col0\" class=\"data row8 col0\" >4.72</td>\n",
+ " <td id=\"T_eb96f_row8_col1\" class=\"data row8 col1\" >1.26</td>\n",
+ " <td id=\"T_eb96f_row8_col2\" class=\"data row8 col2\" >0.34</td>\n",
+ " <td id=\"T_eb96f_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row8_col4\" class=\"data row8 col4\" >84.17</td>\n",
+ " <td id=\"T_eb96f_row8_col5\" class=\"data row8 col5\" >5.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_eb96f_row9_col0\" class=\"data row9 col0\" >28.32</td>\n",
+ " <td id=\"T_eb96f_row9_col1\" class=\"data row9 col1\" >2.90</td>\n",
+ " <td id=\"T_eb96f_row9_col2\" class=\"data row9 col2\" >2.05</td>\n",
+ " <td id=\"T_eb96f_row9_col3\" class=\"data row9 col3\" >0.21</td>\n",
+ " <td id=\"T_eb96f_row9_col4\" class=\"data row9 col4\" >19.46</td>\n",
+ " <td id=\"T_eb96f_row9_col5\" class=\"data row9 col5\" >5.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_eb96f_row10_col0\" class=\"data row10 col0\" >5.72</td>\n",
+ " <td id=\"T_eb96f_row10_col1\" class=\"data row10 col1\" >1.50</td>\n",
+ " <td id=\"T_eb96f_row10_col2\" class=\"data row10 col2\" >0.41</td>\n",
+ " <td id=\"T_eb96f_row10_col3\" class=\"data row10 col3\" >0.11</td>\n",
+ " <td id=\"T_eb96f_row10_col4\" class=\"data row10 col4\" >77.97</td>\n",
+ " <td id=\"T_eb96f_row10_col5\" class=\"data row10 col5\" >6.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_eb96f_row11_col0\" class=\"data row11 col0\" >6.28</td>\n",
+ " <td id=\"T_eb96f_row11_col1\" class=\"data row11 col1\" >1.30</td>\n",
+ " <td id=\"T_eb96f_row11_col2\" class=\"data row11 col2\" >0.45</td>\n",
+ " <td id=\"T_eb96f_row11_col3\" class=\"data row11 col3\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row11_col4\" class=\"data row11 col4\" >77.96</td>\n",
+ " <td id=\"T_eb96f_row11_col5\" class=\"data row11 col5\" >5.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_eb96f_row12_col0\" class=\"data row12 col0\" >4.95</td>\n",
+ " <td id=\"T_eb96f_row12_col1\" class=\"data row12 col1\" >1.62</td>\n",
+ " <td id=\"T_eb96f_row12_col2\" class=\"data row12 col2\" >0.36</td>\n",
+ " <td id=\"T_eb96f_row12_col3\" class=\"data row12 col3\" >0.12</td>\n",
+ " <td id=\"T_eb96f_row12_col4\" class=\"data row12 col4\" >83.52</td>\n",
+ " <td id=\"T_eb96f_row12_col5\" class=\"data row12 col5\" >5.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_eb96f_row13_col0\" class=\"data row13 col0\" >5.69</td>\n",
+ " <td id=\"T_eb96f_row13_col1\" class=\"data row13 col1\" >1.46</td>\n",
+ " <td id=\"T_eb96f_row13_col2\" class=\"data row13 col2\" >0.41</td>\n",
+ " <td id=\"T_eb96f_row13_col3\" class=\"data row13 col3\" >0.11</td>\n",
+ " <td id=\"T_eb96f_row13_col4\" class=\"data row13 col4\" >80.02</td>\n",
+ " <td id=\"T_eb96f_row13_col5\" class=\"data row13 col5\" >5.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_eb96f_row14_col0\" class=\"data row14 col0\" >28.58</td>\n",
+ " <td id=\"T_eb96f_row14_col1\" class=\"data row14 col1\" >3.02</td>\n",
+ " <td id=\"T_eb96f_row14_col2\" class=\"data row14 col2\" >2.07</td>\n",
+ " <td id=\"T_eb96f_row14_col3\" class=\"data row14 col3\" >0.22</td>\n",
+ " <td id=\"T_eb96f_row14_col4\" class=\"data row14 col4\" >16.84</td>\n",
+ " <td id=\"T_eb96f_row14_col5\" class=\"data row14 col5\" >4.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_eb96f_row15_col0\" class=\"data row15 col0\" >5.87</td>\n",
+ " <td id=\"T_eb96f_row15_col1\" class=\"data row15 col1\" >1.32</td>\n",
+ " <td id=\"T_eb96f_row15_col2\" class=\"data row15 col2\" >0.42</td>\n",
+ " <td id=\"T_eb96f_row15_col3\" class=\"data row15 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row15_col4\" class=\"data row15 col4\" >79.14</td>\n",
+ " <td id=\"T_eb96f_row15_col5\" class=\"data row15 col5\" >5.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_eb96f_row16_col0\" class=\"data row16 col0\" >4.36</td>\n",
+ " <td id=\"T_eb96f_row16_col1\" class=\"data row16 col1\" >1.39</td>\n",
+ " <td id=\"T_eb96f_row16_col2\" class=\"data row16 col2\" >0.32</td>\n",
+ " <td id=\"T_eb96f_row16_col3\" class=\"data row16 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row16_col4\" class=\"data row16 col4\" >85.38</td>\n",
+ " <td id=\"T_eb96f_row16_col5\" class=\"data row16 col5\" >5.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_eb96f_row17_col0\" class=\"data row17 col0\" >5.91</td>\n",
+ " <td id=\"T_eb96f_row17_col1\" class=\"data row17 col1\" >1.41</td>\n",
+ " <td id=\"T_eb96f_row17_col2\" class=\"data row17 col2\" >0.43</td>\n",
+ " <td id=\"T_eb96f_row17_col3\" class=\"data row17 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row17_col4\" class=\"data row17 col4\" >79.42</td>\n",
+ " <td id=\"T_eb96f_row17_col5\" class=\"data row17 col5\" >5.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_eb96f_row18_col0\" class=\"data row18 col0\" >6.34</td>\n",
+ " <td id=\"T_eb96f_row18_col1\" class=\"data row18 col1\" >1.34</td>\n",
+ " <td id=\"T_eb96f_row18_col2\" class=\"data row18 col2\" >0.46</td>\n",
+ " <td id=\"T_eb96f_row18_col3\" class=\"data row18 col3\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row18_col4\" class=\"data row18 col4\" >76.68</td>\n",
+ " <td id=\"T_eb96f_row18_col5\" class=\"data row18 col5\" >6.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_eb96f_row19_col0\" class=\"data row19 col0\" >28.46</td>\n",
+ " <td id=\"T_eb96f_row19_col1\" class=\"data row19 col1\" >2.94</td>\n",
+ " <td id=\"T_eb96f_row19_col2\" class=\"data row19 col2\" >2.06</td>\n",
+ " <td id=\"T_eb96f_row19_col3\" class=\"data row19 col3\" >0.21</td>\n",
+ " <td id=\"T_eb96f_row19_col4\" class=\"data row19 col4\" >16.77</td>\n",
+ " <td id=\"T_eb96f_row19_col5\" class=\"data row19 col5\" >3.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_eb96f_row20_col0\" class=\"data row20 col0\" >5.85</td>\n",
+ " <td id=\"T_eb96f_row20_col1\" class=\"data row20 col1\" >2.05</td>\n",
+ " <td id=\"T_eb96f_row20_col2\" class=\"data row20 col2\" >0.42</td>\n",
+ " <td id=\"T_eb96f_row20_col3\" class=\"data row20 col3\" >0.15</td>\n",
+ " <td id=\"T_eb96f_row20_col4\" class=\"data row20 col4\" >47.49</td>\n",
+ " <td id=\"T_eb96f_row20_col5\" class=\"data row20 col5\" >5.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_eb96f_row21_col0\" class=\"data row21 col0\" >10.68</td>\n",
+ " <td id=\"T_eb96f_row21_col1\" class=\"data row21 col1\" >1.86</td>\n",
+ " <td id=\"T_eb96f_row21_col2\" class=\"data row21 col2\" >0.77</td>\n",
+ " <td id=\"T_eb96f_row21_col3\" class=\"data row21 col3\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row21_col4\" class=\"data row21 col4\" >34.08</td>\n",
+ " <td id=\"T_eb96f_row21_col5\" class=\"data row21 col5\" >5.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_eb96f_row22_col0\" class=\"data row22 col0\" >3.03</td>\n",
+ " <td id=\"T_eb96f_row22_col1\" class=\"data row22 col1\" >1.12</td>\n",
+ " <td id=\"T_eb96f_row22_col2\" class=\"data row22 col2\" >0.22</td>\n",
+ " <td id=\"T_eb96f_row22_col3\" class=\"data row22 col3\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row22_col4\" class=\"data row22 col4\" >87.18</td>\n",
+ " <td id=\"T_eb96f_row22_col5\" class=\"data row22 col5\" >5.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_eb96f_row23_col0\" class=\"data row23 col0\" >2.61</td>\n",
+ " <td id=\"T_eb96f_row23_col1\" class=\"data row23 col1\" >1.07</td>\n",
+ " <td id=\"T_eb96f_row23_col2\" class=\"data row23 col2\" >0.19</td>\n",
+ " <td id=\"T_eb96f_row23_col3\" class=\"data row23 col3\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row23_col4\" class=\"data row23 col4\" >89.15</td>\n",
+ " <td id=\"T_eb96f_row23_col5\" class=\"data row23 col5\" >5.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_eb96f_row24_col0\" class=\"data row24 col0\" >5.19</td>\n",
+ " <td id=\"T_eb96f_row24_col1\" class=\"data row24 col1\" >1.87</td>\n",
+ " <td id=\"T_eb96f_row24_col2\" class=\"data row24 col2\" >0.38</td>\n",
+ " <td id=\"T_eb96f_row24_col3\" class=\"data row24 col3\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row24_col4\" class=\"data row24 col4\" >48.46</td>\n",
+ " <td id=\"T_eb96f_row24_col5\" class=\"data row24 col5\" >6.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_eb96f_row25_col0\" class=\"data row25 col0\" >2.86</td>\n",
+ " <td id=\"T_eb96f_row25_col1\" class=\"data row25 col1\" >1.19</td>\n",
+ " <td id=\"T_eb96f_row25_col2\" class=\"data row25 col2\" >0.21</td>\n",
+ " <td id=\"T_eb96f_row25_col3\" class=\"data row25 col3\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row25_col4\" class=\"data row25 col4\" >88.69</td>\n",
+ " <td id=\"T_eb96f_row25_col5\" class=\"data row25 col5\" >5.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_eb96f_row26_col0\" class=\"data row26 col0\" >10.67</td>\n",
+ " <td id=\"T_eb96f_row26_col1\" class=\"data row26 col1\" >1.75</td>\n",
+ " <td id=\"T_eb96f_row26_col2\" class=\"data row26 col2\" >0.77</td>\n",
+ " <td id=\"T_eb96f_row26_col3\" class=\"data row26 col3\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row26_col4\" class=\"data row26 col4\" >31.54</td>\n",
+ " <td id=\"T_eb96f_row26_col5\" class=\"data row26 col5\" >5.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_eb96f_row27_col0\" class=\"data row27 col0\" >2.53</td>\n",
+ " <td id=\"T_eb96f_row27_col1\" class=\"data row27 col1\" >1.03</td>\n",
+ " <td id=\"T_eb96f_row27_col2\" class=\"data row27 col2\" >0.18</td>\n",
+ " <td id=\"T_eb96f_row27_col3\" class=\"data row27 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row27_col4\" class=\"data row27 col4\" >89.15</td>\n",
+ " <td id=\"T_eb96f_row27_col5\" class=\"data row27 col5\" >4.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_eb96f_row28_col0\" class=\"data row28 col0\" >4.80</td>\n",
+ " <td id=\"T_eb96f_row28_col1\" class=\"data row28 col1\" >1.93</td>\n",
+ " <td id=\"T_eb96f_row28_col2\" class=\"data row28 col2\" >0.35</td>\n",
+ " <td id=\"T_eb96f_row28_col3\" class=\"data row28 col3\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row28_col4\" class=\"data row28 col4\" >49.84</td>\n",
+ " <td id=\"T_eb96f_row28_col5\" class=\"data row28 col5\" >6.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_eb96f_row29_col0\" class=\"data row29 col0\" >3.30</td>\n",
+ " <td id=\"T_eb96f_row29_col1\" class=\"data row29 col1\" >1.27</td>\n",
+ " <td id=\"T_eb96f_row29_col2\" class=\"data row29 col2\" >0.24</td>\n",
+ " <td id=\"T_eb96f_row29_col3\" class=\"data row29 col3\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row29_col4\" class=\"data row29 col4\" >86.79</td>\n",
+ " <td id=\"T_eb96f_row29_col5\" class=\"data row29 col5\" >5.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_eb96f_row30_col0\" class=\"data row30 col0\" >3.08</td>\n",
+ " <td id=\"T_eb96f_row30_col1\" class=\"data row30 col1\" >1.10</td>\n",
+ " <td id=\"T_eb96f_row30_col2\" class=\"data row30 col2\" >0.22</td>\n",
+ " <td id=\"T_eb96f_row30_col3\" class=\"data row30 col3\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row30_col4\" class=\"data row30 col4\" >87.40</td>\n",
+ " <td id=\"T_eb96f_row30_col5\" class=\"data row30 col5\" >5.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_eb96f_row31_col0\" class=\"data row31 col0\" >9.29</td>\n",
+ " <td id=\"T_eb96f_row31_col1\" class=\"data row31 col1\" >1.80</td>\n",
+ " <td id=\"T_eb96f_row31_col2\" class=\"data row31 col2\" >0.67</td>\n",
+ " <td id=\"T_eb96f_row31_col3\" class=\"data row31 col3\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row31_col4\" class=\"data row31 col4\" >33.08</td>\n",
+ " <td id=\"T_eb96f_row31_col5\" class=\"data row31 col5\" >5.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_eb96f_row32_col0\" class=\"data row32 col0\" >1.79</td>\n",
+ " <td id=\"T_eb96f_row32_col1\" class=\"data row32 col1\" >1.00</td>\n",
+ " <td id=\"T_eb96f_row32_col2\" class=\"data row32 col2\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row32_col3\" class=\"data row32 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row32_col4\" class=\"data row32 col4\" >92.52</td>\n",
+ " <td id=\"T_eb96f_row32_col5\" class=\"data row32 col5\" >4.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_eb96f_row33_col0\" class=\"data row33 col0\" >5.41</td>\n",
+ " <td id=\"T_eb96f_row33_col1\" class=\"data row33 col1\" >1.96</td>\n",
+ " <td id=\"T_eb96f_row33_col2\" class=\"data row33 col2\" >0.39</td>\n",
+ " <td id=\"T_eb96f_row33_col3\" class=\"data row33 col3\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row33_col4\" class=\"data row33 col4\" >38.66</td>\n",
+ " <td id=\"T_eb96f_row33_col5\" class=\"data row33 col5\" >5.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_eb96f_row34_col0\" class=\"data row34 col0\" >5.68</td>\n",
+ " <td id=\"T_eb96f_row34_col1\" class=\"data row34 col1\" >1.88</td>\n",
+ " <td id=\"T_eb96f_row34_col2\" class=\"data row34 col2\" >0.41</td>\n",
+ " <td id=\"T_eb96f_row34_col3\" class=\"data row34 col3\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row34_col4\" class=\"data row34 col4\" >36.44</td>\n",
+ " <td id=\"T_eb96f_row34_col5\" class=\"data row34 col5\" >5.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_eb96f_row35_col0\" class=\"data row35 col0\" >2.32</td>\n",
+ " <td id=\"T_eb96f_row35_col1\" class=\"data row35 col1\" >0.94</td>\n",
+ " <td id=\"T_eb96f_row35_col2\" class=\"data row35 col2\" >0.17</td>\n",
+ " <td id=\"T_eb96f_row35_col3\" class=\"data row35 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row35_col4\" class=\"data row35 col4\" >90.12</td>\n",
+ " <td id=\"T_eb96f_row35_col5\" class=\"data row35 col5\" >4.72</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_eb96f_row36_col0\" class=\"data row36 col0\" >1.76</td>\n",
+ " <td id=\"T_eb96f_row36_col1\" class=\"data row36 col1\" >0.97</td>\n",
+ " <td id=\"T_eb96f_row36_col2\" class=\"data row36 col2\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row36_col3\" class=\"data row36 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row36_col4\" class=\"data row36 col4\" >93.26</td>\n",
+ " <td id=\"T_eb96f_row36_col5\" class=\"data row36 col5\" >4.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_eb96f_row37_col0\" class=\"data row37 col0\" >5.71</td>\n",
+ " <td id=\"T_eb96f_row37_col1\" class=\"data row37 col1\" >1.95</td>\n",
+ " <td id=\"T_eb96f_row37_col2\" class=\"data row37 col2\" >0.41</td>\n",
+ " <td id=\"T_eb96f_row37_col3\" class=\"data row37 col3\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row37_col4\" class=\"data row37 col4\" >39.26</td>\n",
+ " <td id=\"T_eb96f_row37_col5\" class=\"data row37 col5\" >5.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_eb96f_row38_col0\" class=\"data row38 col0\" >2.60</td>\n",
+ " <td id=\"T_eb96f_row38_col1\" class=\"data row38 col1\" >1.08</td>\n",
+ " <td id=\"T_eb96f_row38_col2\" class=\"data row38 col2\" >0.19</td>\n",
+ " <td id=\"T_eb96f_row38_col3\" class=\"data row38 col3\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row38_col4\" class=\"data row38 col4\" >88.32</td>\n",
+ " <td id=\"T_eb96f_row38_col5\" class=\"data row38 col5\" >4.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_eb96f_row39_col0\" class=\"data row39 col0\" >5.38</td>\n",
+ " <td id=\"T_eb96f_row39_col1\" class=\"data row39 col1\" >1.65</td>\n",
+ " <td id=\"T_eb96f_row39_col2\" class=\"data row39 col2\" >0.39</td>\n",
+ " <td id=\"T_eb96f_row39_col3\" class=\"data row39 col3\" >0.12</td>\n",
+ " <td id=\"T_eb96f_row39_col4\" class=\"data row39 col4\" >36.36</td>\n",
+ " <td id=\"T_eb96f_row39_col5\" class=\"data row39 col5\" >4.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_eb96f_row40_col0\" class=\"data row40 col0\" >1.68</td>\n",
+ " <td id=\"T_eb96f_row40_col1\" class=\"data row40 col1\" >0.97</td>\n",
+ " <td id=\"T_eb96f_row40_col2\" class=\"data row40 col2\" >0.12</td>\n",
+ " <td id=\"T_eb96f_row40_col3\" class=\"data row40 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row40_col4\" class=\"data row40 col4\" >92.87</td>\n",
+ " <td id=\"T_eb96f_row40_col5\" class=\"data row40 col5\" >4.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_eb96f_row41_col0\" class=\"data row41 col0\" >2.47</td>\n",
+ " <td id=\"T_eb96f_row41_col1\" class=\"data row41 col1\" >1.12</td>\n",
+ " <td id=\"T_eb96f_row41_col2\" class=\"data row41 col2\" >0.18</td>\n",
+ " <td id=\"T_eb96f_row41_col3\" class=\"data row41 col3\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row41_col4\" class=\"data row41 col4\" >90.41</td>\n",
+ " <td id=\"T_eb96f_row41_col5\" class=\"data row41 col5\" >4.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_eb96f_row42_col0\" class=\"data row42 col0\" >5.52</td>\n",
+ " <td id=\"T_eb96f_row42_col1\" class=\"data row42 col1\" >2.02</td>\n",
+ " <td id=\"T_eb96f_row42_col2\" class=\"data row42 col2\" >0.40</td>\n",
+ " <td id=\"T_eb96f_row42_col3\" class=\"data row42 col3\" >0.15</td>\n",
+ " <td id=\"T_eb96f_row42_col4\" class=\"data row42 col4\" >36.45</td>\n",
+ " <td id=\"T_eb96f_row42_col5\" class=\"data row42 col5\" >5.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_eb96f_row43_col0\" class=\"data row43 col0\" >5.33</td>\n",
+ " <td id=\"T_eb96f_row43_col1\" class=\"data row43 col1\" >1.95</td>\n",
+ " <td id=\"T_eb96f_row43_col2\" class=\"data row43 col2\" >0.39</td>\n",
+ " <td id=\"T_eb96f_row43_col3\" class=\"data row43 col3\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row43_col4\" class=\"data row43 col4\" >37.66</td>\n",
+ " <td id=\"T_eb96f_row43_col5\" class=\"data row43 col5\" >5.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_eb96f_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_eb96f_row44_col0\" class=\"data row44 col0\" >1.13</td>\n",
+ " <td id=\"T_eb96f_row44_col1\" class=\"data row44 col1\" >0.84</td>\n",
+ " <td id=\"T_eb96f_row44_col2\" class=\"data row44 col2\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row44_col3\" class=\"data row44 col3\" >0.06</td>\n",
+ " <td id=\"T_eb96f_row44_col4\" class=\"data row44 col4\" >60.17</td>\n",
+ " <td id=\"T_eb96f_row44_col5\" class=\"data row44 col5\" >6.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_eb96f_row45_col0\" class=\"data row45 col0\" >1.74</td>\n",
+ " <td id=\"T_eb96f_row45_col1\" class=\"data row45 col1\" >0.93</td>\n",
+ " <td id=\"T_eb96f_row45_col2\" class=\"data row45 col2\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row45_col3\" class=\"data row45 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row45_col4\" class=\"data row45 col4\" >52.45</td>\n",
+ " <td id=\"T_eb96f_row45_col5\" class=\"data row45 col5\" >5.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_eb96f_row46_col0\" class=\"data row46 col0\" >1.89</td>\n",
+ " <td id=\"T_eb96f_row46_col1\" class=\"data row46 col1\" >0.96</td>\n",
+ " <td id=\"T_eb96f_row46_col2\" class=\"data row46 col2\" >0.14</td>\n",
+ " <td id=\"T_eb96f_row46_col3\" class=\"data row46 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row46_col4\" class=\"data row46 col4\" >47.52</td>\n",
+ " <td id=\"T_eb96f_row46_col5\" class=\"data row46 col5\" >6.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_eb96f_row47_col0\" class=\"data row47 col0\" >0.79</td>\n",
+ " <td id=\"T_eb96f_row47_col1\" class=\"data row47 col1\" >0.68</td>\n",
+ " <td id=\"T_eb96f_row47_col2\" class=\"data row47 col2\" >0.06</td>\n",
+ " <td id=\"T_eb96f_row47_col3\" class=\"data row47 col3\" >0.05</td>\n",
+ " <td id=\"T_eb96f_row47_col4\" class=\"data row47 col4\" >95.89</td>\n",
+ " <td id=\"T_eb96f_row47_col5\" class=\"data row47 col5\" >3.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_eb96f_row48_col0\" class=\"data row48 col0\" >1.13</td>\n",
+ " <td id=\"T_eb96f_row48_col1\" class=\"data row48 col1\" >0.77</td>\n",
+ " <td id=\"T_eb96f_row48_col2\" class=\"data row48 col2\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row48_col3\" class=\"data row48 col3\" >0.06</td>\n",
+ " <td id=\"T_eb96f_row48_col4\" class=\"data row48 col4\" >61.42</td>\n",
+ " <td id=\"T_eb96f_row48_col5\" class=\"data row48 col5\" >6.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_eb96f_row49_col0\" class=\"data row49 col0\" >2.35</td>\n",
+ " <td id=\"T_eb96f_row49_col1\" class=\"data row49 col1\" >1.20</td>\n",
+ " <td id=\"T_eb96f_row49_col2\" class=\"data row49 col2\" >0.17</td>\n",
+ " <td id=\"T_eb96f_row49_col3\" class=\"data row49 col3\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row49_col4\" class=\"data row49 col4\" >52.51</td>\n",
+ " <td id=\"T_eb96f_row49_col5\" class=\"data row49 col5\" >5.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_eb96f_row50_col0\" class=\"data row50 col0\" >1.16</td>\n",
+ " <td id=\"T_eb96f_row50_col1\" class=\"data row50 col1\" >0.92</td>\n",
+ " <td id=\"T_eb96f_row50_col2\" class=\"data row50 col2\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row50_col3\" class=\"data row50 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row50_col4\" class=\"data row50 col4\" >94.37</td>\n",
+ " <td id=\"T_eb96f_row50_col5\" class=\"data row50 col5\" >4.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_eb96f_row51_col0\" class=\"data row51 col0\" >1.74</td>\n",
+ " <td id=\"T_eb96f_row51_col1\" class=\"data row51 col1\" >0.89</td>\n",
+ " <td id=\"T_eb96f_row51_col2\" class=\"data row51 col2\" >0.13</td>\n",
+ " <td id=\"T_eb96f_row51_col3\" class=\"data row51 col3\" >0.06</td>\n",
+ " <td id=\"T_eb96f_row51_col4\" class=\"data row51 col4\" >47.53</td>\n",
+ " <td id=\"T_eb96f_row51_col5\" class=\"data row51 col5\" >5.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_eb96f_row52_col0\" class=\"data row52 col0\" >0.99</td>\n",
+ " <td id=\"T_eb96f_row52_col1\" class=\"data row52 col1\" >0.70</td>\n",
+ " <td id=\"T_eb96f_row52_col2\" class=\"data row52 col2\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row52_col3\" class=\"data row52 col3\" >0.05</td>\n",
+ " <td id=\"T_eb96f_row52_col4\" class=\"data row52 col4\" >61.81</td>\n",
+ " <td id=\"T_eb96f_row52_col5\" class=\"data row52 col5\" >6.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_eb96f_row53_col0\" class=\"data row53 col0\" >1.25</td>\n",
+ " <td id=\"T_eb96f_row53_col1\" class=\"data row53 col1\" >0.96</td>\n",
+ " <td id=\"T_eb96f_row53_col2\" class=\"data row53 col2\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row53_col3\" class=\"data row53 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row53_col4\" class=\"data row53 col4\" >94.49</td>\n",
+ " <td id=\"T_eb96f_row53_col5\" class=\"data row53 col5\" >4.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_eb96f_row54_col0\" class=\"data row54 col0\" >2.29</td>\n",
+ " <td id=\"T_eb96f_row54_col1\" class=\"data row54 col1\" >1.28</td>\n",
+ " <td id=\"T_eb96f_row54_col2\" class=\"data row54 col2\" >0.17</td>\n",
+ " <td id=\"T_eb96f_row54_col3\" class=\"data row54 col3\" >0.09</td>\n",
+ " <td id=\"T_eb96f_row54_col4\" class=\"data row54 col4\" >50.81</td>\n",
+ " <td id=\"T_eb96f_row54_col5\" class=\"data row54 col5\" >5.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_eb96f_row55_col0\" class=\"data row55 col0\" >1.55</td>\n",
+ " <td id=\"T_eb96f_row55_col1\" class=\"data row55 col1\" >0.90</td>\n",
+ " <td id=\"T_eb96f_row55_col2\" class=\"data row55 col2\" >0.11</td>\n",
+ " <td id=\"T_eb96f_row55_col3\" class=\"data row55 col3\" >0.07</td>\n",
+ " <td id=\"T_eb96f_row55_col4\" class=\"data row55 col4\" >48.77</td>\n",
+ " <td id=\"T_eb96f_row55_col5\" class=\"data row55 col5\" >6.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_eb96f_row56_col0\" class=\"data row56 col0\" >0.66</td>\n",
+ " <td id=\"T_eb96f_row56_col1\" class=\"data row56 col1\" >0.73</td>\n",
+ " <td id=\"T_eb96f_row56_col2\" class=\"data row56 col2\" >0.05</td>\n",
+ " <td id=\"T_eb96f_row56_col3\" class=\"data row56 col3\" >0.05</td>\n",
+ " <td id=\"T_eb96f_row56_col4\" class=\"data row56 col4\" >96.98</td>\n",
+ " <td id=\"T_eb96f_row56_col5\" class=\"data row56 col5\" >2.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_eb96f_row57_col0\" class=\"data row57 col0\" >1.11</td>\n",
+ " <td id=\"T_eb96f_row57_col1\" class=\"data row57 col1\" >0.76</td>\n",
+ " <td id=\"T_eb96f_row57_col2\" class=\"data row57 col2\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row57_col3\" class=\"data row57 col3\" >0.05</td>\n",
+ " <td id=\"T_eb96f_row57_col4\" class=\"data row57 col4\" >54.44</td>\n",
+ " <td id=\"T_eb96f_row57_col5\" class=\"data row57 col5\" >6.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_eb96f_row58_col0\" class=\"data row58 col0\" >1.38</td>\n",
+ " <td id=\"T_eb96f_row58_col1\" class=\"data row58 col1\" >0.81</td>\n",
+ " <td id=\"T_eb96f_row58_col2\" class=\"data row58 col2\" >0.10</td>\n",
+ " <td id=\"T_eb96f_row58_col3\" class=\"data row58 col3\" >0.06</td>\n",
+ " <td id=\"T_eb96f_row58_col4\" class=\"data row58 col4\" >53.51</td>\n",
+ " <td id=\"T_eb96f_row58_col5\" class=\"data row58 col5\" >6.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_eb96f_row59_col0\" class=\"data row59 col0\" >1.10</td>\n",
+ " <td id=\"T_eb96f_row59_col1\" class=\"data row59 col1\" >0.68</td>\n",
+ " <td id=\"T_eb96f_row59_col2\" class=\"data row59 col2\" >0.08</td>\n",
+ " <td id=\"T_eb96f_row59_col3\" class=\"data row59 col3\" >0.05</td>\n",
+ " <td id=\"T_eb96f_row59_col4\" class=\"data row59 col4\" >50.98</td>\n",
+ " <td id=\"T_eb96f_row59_col5\" class=\"data row59 col5\" >5.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_eb96f_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_eb96f_row60_col0\" class=\"data row60 col0\" >0.25</td>\n",
+ " <td id=\"T_eb96f_row60_col1\" class=\"data row60 col1\" >0.32</td>\n",
+ " <td id=\"T_eb96f_row60_col2\" class=\"data row60 col2\" >0.02</td>\n",
+ " <td id=\"T_eb96f_row60_col3\" class=\"data row60 col3\" >0.02</td>\n",
+ " <td id=\"T_eb96f_row60_col4\" class=\"data row60 col4\" >71.19</td>\n",
+ " <td id=\"T_eb96f_row60_col5\" class=\"data row60 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_eb96f_row61_col0\" class=\"data row61 col0\" >0.41</td>\n",
+ " <td id=\"T_eb96f_row61_col1\" class=\"data row61 col1\" >0.39</td>\n",
+ " <td id=\"T_eb96f_row61_col2\" class=\"data row61 col2\" >0.03</td>\n",
+ " <td id=\"T_eb96f_row61_col3\" class=\"data row61 col3\" >0.03</td>\n",
+ " <td id=\"T_eb96f_row61_col4\" class=\"data row61 col4\" >63.74</td>\n",
+ " <td id=\"T_eb96f_row61_col5\" class=\"data row61 col5\" >5.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_eb96f_row62_col0\" class=\"data row62 col0\" >0.47</td>\n",
+ " <td id=\"T_eb96f_row62_col1\" class=\"data row62 col1\" >0.46</td>\n",
+ " <td id=\"T_eb96f_row62_col2\" class=\"data row62 col2\" >0.03</td>\n",
+ " <td id=\"T_eb96f_row62_col3\" class=\"data row62 col3\" >0.03</td>\n",
+ " <td id=\"T_eb96f_row62_col4\" class=\"data row62 col4\" >61.52</td>\n",
+ " <td id=\"T_eb96f_row62_col5\" class=\"data row62 col5\" >6.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eb96f_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_eb96f_row63_col0\" class=\"data row63 col0\" >0.17</td>\n",
+ " <td id=\"T_eb96f_row63_col1\" class=\"data row63 col1\" >0.19</td>\n",
+ " <td id=\"T_eb96f_row63_col2\" class=\"data row63 col2\" >0.01</td>\n",
+ " <td id=\"T_eb96f_row63_col3\" class=\"data row63 col3\" >0.01</td>\n",
+ " <td id=\"T_eb96f_row63_col4\" class=\"data row63 col4\" >58.69</td>\n",
+ " <td id=\"T_eb96f_row63_col5\" class=\"data row63 col5\" >6.07</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a0e75290>"
+ "<pandas.io.formats.style.Styler at 0x76062f8e8350>"
]
},
"metadata": {},
@@ -12476,295 +12470,295 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_aca75 td {\n",
+ "#T_4ccb6 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_aca75 th {\n",
+ "#T_4ccb6 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_aca75_row0_col0, #T_aca75_row0_col2 {\n",
+ "#T_4ccb6_row0_col0, #T_4ccb6_row0_col2 {\n",
" background-color: #34ff34;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row0_col4, #T_aca75_row15_col4 {\n",
+ "#T_4ccb6_row0_col4, #T_4ccb6_row15_col4 {\n",
" background-color: #f3f0f0;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row1_col0, #T_aca75_row1_col2 {\n",
+ "#T_4ccb6_row1_col0, #T_4ccb6_row1_col2 {\n",
" background-color: #3bff3b;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row1_col4 {\n",
+ "#T_4ccb6_row1_col4 {\n",
" background-color: #fd2525;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row2_col0, #T_aca75_row2_col2, #T_aca75_row3_col0, #T_aca75_row3_col2, #T_aca75_row4_col0, #T_aca75_row4_col2 {\n",
+ "#T_4ccb6_row2_col0, #T_4ccb6_row2_col2, #T_4ccb6_row3_col0, #T_4ccb6_row3_col2, #T_4ccb6_row4_col0, #T_4ccb6_row4_col2 {\n",
" background-color: #3dfe3d;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row2_col4 {\n",
+ "#T_4ccb6_row2_col4 {\n",
" background-color: #ff0000;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row3_col4 {\n",
+ "#T_4ccb6_row3_col4 {\n",
" background-color: #ff0202;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row4_col4 {\n",
+ "#T_4ccb6_row4_col4 {\n",
" background-color: #fb4848;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row5_col0, #T_aca75_row5_col2 {\n",
+ "#T_4ccb6_row5_col0, #T_4ccb6_row5_col2 {\n",
" background-color: #98f898;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row5_col4 {\n",
+ "#T_4ccb6_row5_col4 {\n",
" background-color: #fa5a5a;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row6_col0, #T_aca75_row6_col2 {\n",
+ "#T_4ccb6_row6_col0, #T_4ccb6_row6_col2 {\n",
" background-color: #9cf89c;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row6_col4 {\n",
+ "#T_4ccb6_row6_col4 {\n",
" background-color: #fa5d5d;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row7_col0, #T_aca75_row7_col2 {\n",
+ "#T_4ccb6_row7_col0, #T_4ccb6_row7_col2 {\n",
" background-color: #9ff89f;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row7_col4 {\n",
+ "#T_4ccb6_row7_col4 {\n",
" background-color: #f88686;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row8_col0, #T_aca75_row8_col2, #T_aca75_row9_col0, #T_aca75_row9_col2 {\n",
+ "#T_4ccb6_row8_col0, #T_4ccb6_row8_col2, #T_4ccb6_row9_col0, #T_4ccb6_row9_col2 {\n",
" background-color: #b3f7b3;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row8_col4 {\n",
+ "#T_4ccb6_row8_col4 {\n",
" background-color: #fa6363;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row9_col4 {\n",
+ "#T_4ccb6_row9_col4 {\n",
" background-color: #f98080;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row10_col0, #T_aca75_row10_col2 {\n",
+ "#T_4ccb6_row10_col0, #T_4ccb6_row10_col2 {\n",
" background-color: #b4f7b4;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row10_col4 {\n",
+ "#T_4ccb6_row10_col4 {\n",
" background-color: #f97676;\n",
" color: #f1f1f1;\n",
"}\n",
- "#T_aca75_row11_col0, #T_aca75_row11_col2 {\n",
+ "#T_4ccb6_row11_col0, #T_4ccb6_row11_col2 {\n",
" background-color: #daf4da;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row11_col4 {\n",
+ "#T_4ccb6_row11_col4 {\n",
" background-color: #f5c0c0;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row12_col0, #T_aca75_row12_col2 {\n",
+ "#T_4ccb6_row12_col0, #T_4ccb6_row12_col2 {\n",
" background-color: #d6f4d6;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row12_col4 {\n",
+ "#T_4ccb6_row12_col4 {\n",
" background-color: #f5caca;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row13_col0, #T_aca75_row13_col2 {\n",
+ "#T_4ccb6_row13_col0, #T_4ccb6_row13_col2 {\n",
" background-color: #d8f4d8;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row13_col4 {\n",
+ "#T_4ccb6_row13_col4 {\n",
" background-color: #f5c8c7;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row14_col0, #T_aca75_row14_col2 {\n",
+ "#T_4ccb6_row14_col0, #T_4ccb6_row14_col2 {\n",
" background-color: #dff4df;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row14_col4 {\n",
+ "#T_4ccb6_row14_col4 {\n",
" background-color: #f5c6c6;\n",
" color: #000000;\n",
"}\n",
- "#T_aca75_row15_col0, #T_aca75_row15_col2 {\n",
+ "#T_4ccb6_row15_col0, #T_4ccb6_row15_col2 {\n",
" background-color: #ebf3eb;\n",
" color: #000000;\n",
"}\n",
"</style>\n",
- "<table id=\"T_aca75\">\n",
+ "<table id=\"T_4ccb6\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_aca75_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
- " <th id=\"T_aca75_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
- " <th id=\"T_aca75_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " <th id=\"T_4ccb6_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_4ccb6_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_4ccb6_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_aca75_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
- " <th id=\"T_aca75_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
- " <th id=\"T_aca75_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
- " <th id=\"T_aca75_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
- " <th id=\"T_aca75_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
- " <th id=\"T_aca75_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " <th id=\"T_4ccb6_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_4ccb6_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_4ccb6_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_4ccb6_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_4ccb6_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_4ccb6_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_aca75_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_aca75_row0_col0\" class=\"data row0 col0\" >47.41</td>\n",
- " <td id=\"T_aca75_row0_col1\" class=\"data row0 col1\" >1.61</td>\n",
- " <td id=\"T_aca75_row0_col2\" class=\"data row0 col2\" >0.86</td>\n",
- " <td id=\"T_aca75_row0_col3\" class=\"data row0 col3\" >0.03</td>\n",
- " <td id=\"T_aca75_row0_col4\" class=\"data row0 col4\" >63.78</td>\n",
- " <td id=\"T_aca75_row0_col5\" class=\"data row0 col5\" >3.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_aca75_row1_col0\" class=\"data row1 col0\" >45.49</td>\n",
- " <td id=\"T_aca75_row1_col1\" class=\"data row1 col1\" >1.78</td>\n",
- " <td id=\"T_aca75_row1_col2\" class=\"data row1 col2\" >0.82</td>\n",
- " <td id=\"T_aca75_row1_col3\" class=\"data row1 col3\" >0.03</td>\n",
- " <td id=\"T_aca75_row1_col4\" class=\"data row1 col4\" >64.72</td>\n",
- " <td id=\"T_aca75_row1_col5\" class=\"data row1 col5\" >3.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_aca75_row2_col0\" class=\"data row2 col0\" >45.04</td>\n",
- " <td id=\"T_aca75_row2_col1\" class=\"data row2 col1\" >1.69</td>\n",
- " <td id=\"T_aca75_row2_col2\" class=\"data row2 col2\" >0.81</td>\n",
- " <td id=\"T_aca75_row2_col3\" class=\"data row2 col3\" >0.03</td>\n",
- " <td id=\"T_aca75_row2_col4\" class=\"data row2 col4\" >64.89</td>\n",
- " <td id=\"T_aca75_row2_col5\" class=\"data row2 col5\" >3.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_aca75_row3_col0\" class=\"data row3 col0\" >45.09</td>\n",
- " <td id=\"T_aca75_row3_col1\" class=\"data row3 col1\" >1.75</td>\n",
- " <td id=\"T_aca75_row3_col2\" class=\"data row3 col2\" >0.82</td>\n",
- " <td id=\"T_aca75_row3_col3\" class=\"data row3 col3\" >0.03</td>\n",
- " <td id=\"T_aca75_row3_col4\" class=\"data row3 col4\" >64.88</td>\n",
- " <td id=\"T_aca75_row3_col5\" class=\"data row3 col5\" >3.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_aca75_row4_col0\" class=\"data row4 col0\" >45.08</td>\n",
- " <td id=\"T_aca75_row4_col1\" class=\"data row4 col1\" >1.72</td>\n",
- " <td id=\"T_aca75_row4_col2\" class=\"data row4 col2\" >0.82</td>\n",
- " <td id=\"T_aca75_row4_col3\" class=\"data row4 col3\" >0.03</td>\n",
- " <td id=\"T_aca75_row4_col4\" class=\"data row4 col4\" >64.56</td>\n",
- " <td id=\"T_aca75_row4_col5\" class=\"data row4 col5\" >3.12</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_aca75_row5_col0\" class=\"data row5 col0\" >22.16</td>\n",
- " <td id=\"T_aca75_row5_col1\" class=\"data row5 col1\" >2.75</td>\n",
- " <td id=\"T_aca75_row5_col2\" class=\"data row5 col2\" >0.40</td>\n",
- " <td id=\"T_aca75_row5_col3\" class=\"data row5 col3\" >0.05</td>\n",
- " <td id=\"T_aca75_row5_col4\" class=\"data row5 col4\" >64.47</td>\n",
- " <td id=\"T_aca75_row5_col5\" class=\"data row5 col5\" >3.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_aca75_row6_col0\" class=\"data row6 col0\" >21.24</td>\n",
- " <td id=\"T_aca75_row6_col1\" class=\"data row6 col1\" >2.73</td>\n",
- " <td id=\"T_aca75_row6_col2\" class=\"data row6 col2\" >0.38</td>\n",
- " <td id=\"T_aca75_row6_col3\" class=\"data row6 col3\" >0.05</td>\n",
- " <td id=\"T_aca75_row6_col4\" class=\"data row6 col4\" >64.46</td>\n",
- " <td id=\"T_aca75_row6_col5\" class=\"data row6 col5\" >3.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_aca75_row7_col0\" class=\"data row7 col0\" >20.46</td>\n",
- " <td id=\"T_aca75_row7_col1\" class=\"data row7 col1\" >2.55</td>\n",
- " <td id=\"T_aca75_row7_col2\" class=\"data row7 col2\" >0.37</td>\n",
- " <td id=\"T_aca75_row7_col3\" class=\"data row7 col3\" >0.05</td>\n",
- " <td id=\"T_aca75_row7_col4\" class=\"data row7 col4\" >64.28</td>\n",
- " <td id=\"T_aca75_row7_col5\" class=\"data row7 col5\" >3.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_aca75_row8_col0\" class=\"data row8 col0\" >15.21</td>\n",
- " <td id=\"T_aca75_row8_col1\" class=\"data row8 col1\" >2.93</td>\n",
- " <td id=\"T_aca75_row8_col2\" class=\"data row8 col2\" >0.27</td>\n",
- " <td id=\"T_aca75_row8_col3\" class=\"data row8 col3\" >0.05</td>\n",
- " <td id=\"T_aca75_row8_col4\" class=\"data row8 col4\" >64.43</td>\n",
- " <td id=\"T_aca75_row8_col5\" class=\"data row8 col5\" >3.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_aca75_row9_col0\" class=\"data row9 col0\" >15.46</td>\n",
- " <td id=\"T_aca75_row9_col1\" class=\"data row9 col1\" >3.02</td>\n",
- " <td id=\"T_aca75_row9_col2\" class=\"data row9 col2\" >0.28</td>\n",
- " <td id=\"T_aca75_row9_col3\" class=\"data row9 col3\" >0.05</td>\n",
- " <td id=\"T_aca75_row9_col4\" class=\"data row9 col4\" >64.30</td>\n",
- " <td id=\"T_aca75_row9_col5\" class=\"data row9 col5\" >3.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_aca75_row10_col0\" class=\"data row10 col0\" >15.00</td>\n",
- " <td id=\"T_aca75_row10_col1\" class=\"data row10 col1\" >3.10</td>\n",
- " <td id=\"T_aca75_row10_col2\" class=\"data row10 col2\" >0.27</td>\n",
- " <td id=\"T_aca75_row10_col3\" class=\"data row10 col3\" >0.06</td>\n",
- " <td id=\"T_aca75_row10_col4\" class=\"data row10 col4\" >64.35</td>\n",
- " <td id=\"T_aca75_row10_col5\" class=\"data row10 col5\" >3.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_aca75_row11_col0\" class=\"data row11 col0\" >5.55</td>\n",
- " <td id=\"T_aca75_row11_col1\" class=\"data row11 col1\" >2.03</td>\n",
- " <td id=\"T_aca75_row11_col2\" class=\"data row11 col2\" >0.10</td>\n",
- " <td id=\"T_aca75_row11_col3\" class=\"data row11 col3\" >0.04</td>\n",
- " <td id=\"T_aca75_row11_col4\" class=\"data row11 col4\" >64.01</td>\n",
- " <td id=\"T_aca75_row11_col5\" class=\"data row11 col5\" >3.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_aca75_row12_col0\" class=\"data row12 col0\" >6.39</td>\n",
- " <td id=\"T_aca75_row12_col1\" class=\"data row12 col1\" >2.26</td>\n",
- " <td id=\"T_aca75_row12_col2\" class=\"data row12 col2\" >0.12</td>\n",
- " <td id=\"T_aca75_row12_col3\" class=\"data row12 col3\" >0.04</td>\n",
- " <td id=\"T_aca75_row12_col4\" class=\"data row12 col4\" >63.96</td>\n",
- " <td id=\"T_aca75_row12_col5\" class=\"data row12 col5\" >3.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_aca75_row13_col0\" class=\"data row13 col0\" >6.08</td>\n",
- " <td id=\"T_aca75_row13_col1\" class=\"data row13 col1\" >2.36</td>\n",
- " <td id=\"T_aca75_row13_col2\" class=\"data row13 col2\" >0.11</td>\n",
- " <td id=\"T_aca75_row13_col3\" class=\"data row13 col3\" >0.04</td>\n",
- " <td id=\"T_aca75_row13_col4\" class=\"data row13 col4\" >63.97</td>\n",
- " <td id=\"T_aca75_row13_col5\" class=\"data row13 col5\" >3.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_aca75_row14_col0\" class=\"data row14 col0\" >4.25</td>\n",
- " <td id=\"T_aca75_row14_col1\" class=\"data row14 col1\" >1.66</td>\n",
- " <td id=\"T_aca75_row14_col2\" class=\"data row14 col2\" >0.08</td>\n",
- " <td id=\"T_aca75_row14_col3\" class=\"data row14 col3\" >0.03</td>\n",
- " <td id=\"T_aca75_row14_col4\" class=\"data row14 col4\" >63.98</td>\n",
- " <td id=\"T_aca75_row14_col5\" class=\"data row14 col5\" >3.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_aca75_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_aca75_row15_col0\" class=\"data row15 col0\" >1.31</td>\n",
- " <td id=\"T_aca75_row15_col1\" class=\"data row15 col1\" >0.78</td>\n",
- " <td id=\"T_aca75_row15_col2\" class=\"data row15 col2\" >0.02</td>\n",
- " <td id=\"T_aca75_row15_col3\" class=\"data row15 col3\" >0.01</td>\n",
- " <td id=\"T_aca75_row15_col4\" class=\"data row15 col4\" >63.78</td>\n",
- " <td id=\"T_aca75_row15_col5\" class=\"data row15 col5\" >3.10</td>\n",
+ " <th id=\"T_4ccb6_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_4ccb6_row0_col0\" class=\"data row0 col0\" >47.41</td>\n",
+ " <td id=\"T_4ccb6_row0_col1\" class=\"data row0 col1\" >1.61</td>\n",
+ " <td id=\"T_4ccb6_row0_col2\" class=\"data row0 col2\" >0.86</td>\n",
+ " <td id=\"T_4ccb6_row0_col3\" class=\"data row0 col3\" >0.03</td>\n",
+ " <td id=\"T_4ccb6_row0_col4\" class=\"data row0 col4\" >63.78</td>\n",
+ " <td id=\"T_4ccb6_row0_col5\" class=\"data row0 col5\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_4ccb6_row1_col0\" class=\"data row1 col0\" >45.49</td>\n",
+ " <td id=\"T_4ccb6_row1_col1\" class=\"data row1 col1\" >1.78</td>\n",
+ " <td id=\"T_4ccb6_row1_col2\" class=\"data row1 col2\" >0.82</td>\n",
+ " <td id=\"T_4ccb6_row1_col3\" class=\"data row1 col3\" >0.03</td>\n",
+ " <td id=\"T_4ccb6_row1_col4\" class=\"data row1 col4\" >64.72</td>\n",
+ " <td id=\"T_4ccb6_row1_col5\" class=\"data row1 col5\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_4ccb6_row2_col0\" class=\"data row2 col0\" >45.04</td>\n",
+ " <td id=\"T_4ccb6_row2_col1\" class=\"data row2 col1\" >1.69</td>\n",
+ " <td id=\"T_4ccb6_row2_col2\" class=\"data row2 col2\" >0.81</td>\n",
+ " <td id=\"T_4ccb6_row2_col3\" class=\"data row2 col3\" >0.03</td>\n",
+ " <td id=\"T_4ccb6_row2_col4\" class=\"data row2 col4\" >64.89</td>\n",
+ " <td id=\"T_4ccb6_row2_col5\" class=\"data row2 col5\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_4ccb6_row3_col0\" class=\"data row3 col0\" >45.09</td>\n",
+ " <td id=\"T_4ccb6_row3_col1\" class=\"data row3 col1\" >1.75</td>\n",
+ " <td id=\"T_4ccb6_row3_col2\" class=\"data row3 col2\" >0.82</td>\n",
+ " <td id=\"T_4ccb6_row3_col3\" class=\"data row3 col3\" >0.03</td>\n",
+ " <td id=\"T_4ccb6_row3_col4\" class=\"data row3 col4\" >64.88</td>\n",
+ " <td id=\"T_4ccb6_row3_col5\" class=\"data row3 col5\" >3.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_4ccb6_row4_col0\" class=\"data row4 col0\" >45.08</td>\n",
+ " <td id=\"T_4ccb6_row4_col1\" class=\"data row4 col1\" >1.72</td>\n",
+ " <td id=\"T_4ccb6_row4_col2\" class=\"data row4 col2\" >0.82</td>\n",
+ " <td id=\"T_4ccb6_row4_col3\" class=\"data row4 col3\" >0.03</td>\n",
+ " <td id=\"T_4ccb6_row4_col4\" class=\"data row4 col4\" >64.56</td>\n",
+ " <td id=\"T_4ccb6_row4_col5\" class=\"data row4 col5\" >3.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_4ccb6_row5_col0\" class=\"data row5 col0\" >22.16</td>\n",
+ " <td id=\"T_4ccb6_row5_col1\" class=\"data row5 col1\" >2.75</td>\n",
+ " <td id=\"T_4ccb6_row5_col2\" class=\"data row5 col2\" >0.40</td>\n",
+ " <td id=\"T_4ccb6_row5_col3\" class=\"data row5 col3\" >0.05</td>\n",
+ " <td id=\"T_4ccb6_row5_col4\" class=\"data row5 col4\" >64.47</td>\n",
+ " <td id=\"T_4ccb6_row5_col5\" class=\"data row5 col5\" >3.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_4ccb6_row6_col0\" class=\"data row6 col0\" >21.24</td>\n",
+ " <td id=\"T_4ccb6_row6_col1\" class=\"data row6 col1\" >2.73</td>\n",
+ " <td id=\"T_4ccb6_row6_col2\" class=\"data row6 col2\" >0.38</td>\n",
+ " <td id=\"T_4ccb6_row6_col3\" class=\"data row6 col3\" >0.05</td>\n",
+ " <td id=\"T_4ccb6_row6_col4\" class=\"data row6 col4\" >64.46</td>\n",
+ " <td id=\"T_4ccb6_row6_col5\" class=\"data row6 col5\" >3.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_4ccb6_row7_col0\" class=\"data row7 col0\" >20.46</td>\n",
+ " <td id=\"T_4ccb6_row7_col1\" class=\"data row7 col1\" >2.55</td>\n",
+ " <td id=\"T_4ccb6_row7_col2\" class=\"data row7 col2\" >0.37</td>\n",
+ " <td id=\"T_4ccb6_row7_col3\" class=\"data row7 col3\" >0.05</td>\n",
+ " <td id=\"T_4ccb6_row7_col4\" class=\"data row7 col4\" >64.28</td>\n",
+ " <td id=\"T_4ccb6_row7_col5\" class=\"data row7 col5\" >3.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_4ccb6_row8_col0\" class=\"data row8 col0\" >15.21</td>\n",
+ " <td id=\"T_4ccb6_row8_col1\" class=\"data row8 col1\" >2.93</td>\n",
+ " <td id=\"T_4ccb6_row8_col2\" class=\"data row8 col2\" >0.27</td>\n",
+ " <td id=\"T_4ccb6_row8_col3\" class=\"data row8 col3\" >0.05</td>\n",
+ " <td id=\"T_4ccb6_row8_col4\" class=\"data row8 col4\" >64.43</td>\n",
+ " <td id=\"T_4ccb6_row8_col5\" class=\"data row8 col5\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_4ccb6_row9_col0\" class=\"data row9 col0\" >15.46</td>\n",
+ " <td id=\"T_4ccb6_row9_col1\" class=\"data row9 col1\" >3.02</td>\n",
+ " <td id=\"T_4ccb6_row9_col2\" class=\"data row9 col2\" >0.28</td>\n",
+ " <td id=\"T_4ccb6_row9_col3\" class=\"data row9 col3\" >0.05</td>\n",
+ " <td id=\"T_4ccb6_row9_col4\" class=\"data row9 col4\" >64.30</td>\n",
+ " <td id=\"T_4ccb6_row9_col5\" class=\"data row9 col5\" >3.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_4ccb6_row10_col0\" class=\"data row10 col0\" >15.00</td>\n",
+ " <td id=\"T_4ccb6_row10_col1\" class=\"data row10 col1\" >3.10</td>\n",
+ " <td id=\"T_4ccb6_row10_col2\" class=\"data row10 col2\" >0.27</td>\n",
+ " <td id=\"T_4ccb6_row10_col3\" class=\"data row10 col3\" >0.06</td>\n",
+ " <td id=\"T_4ccb6_row10_col4\" class=\"data row10 col4\" >64.35</td>\n",
+ " <td id=\"T_4ccb6_row10_col5\" class=\"data row10 col5\" >3.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_4ccb6_row11_col0\" class=\"data row11 col0\" >5.55</td>\n",
+ " <td id=\"T_4ccb6_row11_col1\" class=\"data row11 col1\" >2.03</td>\n",
+ " <td id=\"T_4ccb6_row11_col2\" class=\"data row11 col2\" >0.10</td>\n",
+ " <td id=\"T_4ccb6_row11_col3\" class=\"data row11 col3\" >0.04</td>\n",
+ " <td id=\"T_4ccb6_row11_col4\" class=\"data row11 col4\" >64.01</td>\n",
+ " <td id=\"T_4ccb6_row11_col5\" class=\"data row11 col5\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_4ccb6_row12_col0\" class=\"data row12 col0\" >6.39</td>\n",
+ " <td id=\"T_4ccb6_row12_col1\" class=\"data row12 col1\" >2.26</td>\n",
+ " <td id=\"T_4ccb6_row12_col2\" class=\"data row12 col2\" >0.12</td>\n",
+ " <td id=\"T_4ccb6_row12_col3\" class=\"data row12 col3\" >0.04</td>\n",
+ " <td id=\"T_4ccb6_row12_col4\" class=\"data row12 col4\" >63.96</td>\n",
+ " <td id=\"T_4ccb6_row12_col5\" class=\"data row12 col5\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_4ccb6_row13_col0\" class=\"data row13 col0\" >6.08</td>\n",
+ " <td id=\"T_4ccb6_row13_col1\" class=\"data row13 col1\" >2.36</td>\n",
+ " <td id=\"T_4ccb6_row13_col2\" class=\"data row13 col2\" >0.11</td>\n",
+ " <td id=\"T_4ccb6_row13_col3\" class=\"data row13 col3\" >0.04</td>\n",
+ " <td id=\"T_4ccb6_row13_col4\" class=\"data row13 col4\" >63.97</td>\n",
+ " <td id=\"T_4ccb6_row13_col5\" class=\"data row13 col5\" >3.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_4ccb6_row14_col0\" class=\"data row14 col0\" >4.25</td>\n",
+ " <td id=\"T_4ccb6_row14_col1\" class=\"data row14 col1\" >1.66</td>\n",
+ " <td id=\"T_4ccb6_row14_col2\" class=\"data row14 col2\" >0.08</td>\n",
+ " <td id=\"T_4ccb6_row14_col3\" class=\"data row14 col3\" >0.03</td>\n",
+ " <td id=\"T_4ccb6_row14_col4\" class=\"data row14 col4\" >63.98</td>\n",
+ " <td id=\"T_4ccb6_row14_col5\" class=\"data row14 col5\" >3.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4ccb6_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_4ccb6_row15_col0\" class=\"data row15 col0\" >1.31</td>\n",
+ " <td id=\"T_4ccb6_row15_col1\" class=\"data row15 col1\" >0.78</td>\n",
+ " <td id=\"T_4ccb6_row15_col2\" class=\"data row15 col2\" >0.02</td>\n",
+ " <td id=\"T_4ccb6_row15_col3\" class=\"data row15 col3\" >0.01</td>\n",
+ " <td id=\"T_4ccb6_row15_col4\" class=\"data row15 col4\" >63.78</td>\n",
+ " <td id=\"T_4ccb6_row15_col5\" class=\"data row15 col5\" >3.10</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7129a19c1410>"
+ "<pandas.io.formats.style.Styler at 0x76069b000210>"
]
},
"metadata": {},
@@ -12778,7 +12772,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "opt",
+ "display_name": "Python 3",
"language": "python",
"name": "python3"
},
@@ -12792,7 +12786,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.13.2"
+ "version": "3.11.6"
}
},
"nbformat": 4,
diff --git a/Analysis/Section_7.3.3.ipynb b/Analysis/Section_7.3.3.ipynb
index 0170f23dae8e68bb5747b34d1129205c1710209d..38bf001c55cf9b52bf03193332111d5a64dd975a 100644
--- a/Analysis/Section_7.3.3.ipynb
+++ b/Analysis/Section_7.3.3.ipynb
@@ -13,27 +13,21 @@
"metadata": {},
"outputs": [],
"source": [
+ "import sys\n",
+ "sys.path.append(\"../\")\n",
"import numpy as np\n",
"from GenerateVisualisation.experiments_analysis import Analysis, Analysis_plots"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"analysis_list = []\n",
"seeds = range(3, 103)\n",
"\n",
- "# base_folder = \"XPs/1_bell/\"\n",
- "# analysis = Analysis(base_folder=base_folder,\n",
- "# files=[\"/simple_aggre_0_\", \"/simple_aggre_25_\", \"/simple_aggre_50_\", \"/simple_aggre_75_\", \"/simple_aggre_100_\"],\n",
- "# names=[\"Cooperative\", \"25% aggre\", \"50% aggre\", \"75% aggre\", \"all aggre\"],\n",
- "# nb_dcs=4,\n",
- "# seeds = seeds)\n",
- "# analysis_list.append(analysis)\n",
- "\n",
"servers=np.array([(s0, s1, s2, s3) for s0 in [0, 1] for s1 in [0, 1] for s2 in [0, 1] for s3 in [0, 1]])\n",
"idx=[0, 8, 4, 2, 1, 12, 10, 9, 6, 5, 3, 14, 13, 11, 7, 15]\n",
"name = []\n",
@@ -46,7 +40,7 @@
" name.append(\"Cooperative\")\n",
" files.append(\"/simple_aggre_{}_dc_{}_{}_{}_{}_seed_\".format(int(aggre_sum), s0, s1, s2, s3))\n",
"\n",
- "analysis = Analysis(base_folder=\"XPs/3_real/\",\n",
+ "analysis = Analysis(base_folder=\"../XPs/3_real/\",\n",
" files=files,\n",
" names=name,\n",
" nb_dcs=4,\n",
@@ -65,367 +59,367 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_119ac td {\n",
+ "#T_c11bd td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_119ac th {\n",
+ "#T_c11bd th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_119ac_row0_col4, #T_119ac_row0_col6, #T_119ac_row0_col8, #T_119ac_row0_col10, #T_119ac_row0_col12, #T_119ac_row0_col14, #T_119ac_row1_col2, #T_119ac_row10_col0, #T_119ac_row15_col4, #T_119ac_row15_col6, #T_119ac_row15_col8, #T_119ac_row15_col12 {\n",
+ "#T_c11bd_row0_col4, #T_c11bd_row0_col6, #T_c11bd_row0_col8, #T_c11bd_row0_col10, #T_c11bd_row0_col12, #T_c11bd_row0_col14, #T_c11bd_row1_col2, #T_c11bd_row10_col0, #T_c11bd_row15_col4, #T_c11bd_row15_col6, #T_c11bd_row15_col8, #T_c11bd_row15_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_119ac\">\n",
+ "<table id=\"T_c11bd\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_119ac_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_119ac_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_119ac_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_c11bd_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_c11bd_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_c11bd_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_119ac_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_119ac_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_119ac_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_119ac_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_119ac_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_119ac_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_119ac_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_119ac_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_c11bd_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_c11bd_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_c11bd_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_c11bd_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_c11bd_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_c11bd_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_c11bd_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_c11bd_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_119ac_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_119ac_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_119ac_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_119ac_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_119ac_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_119ac_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_119ac_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_119ac_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_119ac_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_c11bd_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_c11bd_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_119ac_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_119ac_row0_col0\" class=\"data row0 col0\" >87.87</td>\n",
- " <td id=\"T_119ac_row0_col1\" class=\"data row0 col1\" >2.94</td>\n",
- " <td id=\"T_119ac_row0_col2\" class=\"data row0 col2\" >83.98</td>\n",
- " <td id=\"T_119ac_row0_col3\" class=\"data row0 col3\" >3.46</td>\n",
- " <td id=\"T_119ac_row0_col4\" class=\"data row0 col4\" >90.97</td>\n",
- " <td id=\"T_119ac_row0_col5\" class=\"data row0 col5\" >1.99</td>\n",
- " <td id=\"T_119ac_row0_col6\" class=\"data row0 col6\" >98.57</td>\n",
- " <td id=\"T_119ac_row0_col7\" class=\"data row0 col7\" >1.20</td>\n",
- " <td id=\"T_119ac_row0_col8\" class=\"data row0 col8\" >1.49</td>\n",
- " <td id=\"T_119ac_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
- " <td id=\"T_119ac_row0_col10\" class=\"data row0 col10\" >118.81</td>\n",
- " <td id=\"T_119ac_row0_col11\" class=\"data row0 col11\" >5.14</td>\n",
- " <td id=\"T_119ac_row0_col12\" class=\"data row0 col12\" >15.31</td>\n",
- " <td id=\"T_119ac_row0_col13\" class=\"data row0 col13\" >2.67</td>\n",
- " <td id=\"T_119ac_row0_col14\" class=\"data row0 col14\" >2.15</td>\n",
- " <td id=\"T_119ac_row0_col15\" class=\"data row0 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_119ac_row1_col0\" class=\"data row1 col0\" >88.46</td>\n",
- " <td id=\"T_119ac_row1_col1\" class=\"data row1 col1\" >2.98</td>\n",
- " <td id=\"T_119ac_row1_col2\" class=\"data row1 col2\" >85.12</td>\n",
- " <td id=\"T_119ac_row1_col3\" class=\"data row1 col3\" >3.57</td>\n",
- " <td id=\"T_119ac_row1_col4\" class=\"data row1 col4\" >87.56</td>\n",
- " <td id=\"T_119ac_row1_col5\" class=\"data row1 col5\" >2.00</td>\n",
- " <td id=\"T_119ac_row1_col6\" class=\"data row1 col6\" >94.60</td>\n",
- " <td id=\"T_119ac_row1_col7\" class=\"data row1 col7\" >2.40</td>\n",
- " <td id=\"T_119ac_row1_col8\" class=\"data row1 col8\" >1.69</td>\n",
- " <td id=\"T_119ac_row1_col9\" class=\"data row1 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row1_col10\" class=\"data row1 col10\" >112.97</td>\n",
- " <td id=\"T_119ac_row1_col11\" class=\"data row1 col11\" >4.90</td>\n",
- " <td id=\"T_119ac_row1_col12\" class=\"data row1 col12\" >16.30</td>\n",
- " <td id=\"T_119ac_row1_col13\" class=\"data row1 col13\" >2.60</td>\n",
- " <td id=\"T_119ac_row1_col14\" class=\"data row1 col14\" >2.04</td>\n",
- " <td id=\"T_119ac_row1_col15\" class=\"data row1 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_119ac_row2_col0\" class=\"data row2 col0\" >88.11</td>\n",
- " <td id=\"T_119ac_row2_col1\" class=\"data row2 col1\" >3.04</td>\n",
- " <td id=\"T_119ac_row2_col2\" class=\"data row2 col2\" >84.03</td>\n",
- " <td id=\"T_119ac_row2_col3\" class=\"data row2 col3\" >3.74</td>\n",
- " <td id=\"T_119ac_row2_col4\" class=\"data row2 col4\" >87.57</td>\n",
- " <td id=\"T_119ac_row2_col5\" class=\"data row2 col5\" >2.00</td>\n",
- " <td id=\"T_119ac_row2_col6\" class=\"data row2 col6\" >94.55</td>\n",
- " <td id=\"T_119ac_row2_col7\" class=\"data row2 col7\" >2.74</td>\n",
- " <td id=\"T_119ac_row2_col8\" class=\"data row2 col8\" >1.69</td>\n",
- " <td id=\"T_119ac_row2_col9\" class=\"data row2 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row2_col10\" class=\"data row2 col10\" >112.14</td>\n",
- " <td id=\"T_119ac_row2_col11\" class=\"data row2 col11\" >5.71</td>\n",
- " <td id=\"T_119ac_row2_col12\" class=\"data row2 col12\" >16.33</td>\n",
- " <td id=\"T_119ac_row2_col13\" class=\"data row2 col13\" >2.73</td>\n",
- " <td id=\"T_119ac_row2_col14\" class=\"data row2 col14\" >2.03</td>\n",
- " <td id=\"T_119ac_row2_col15\" class=\"data row2 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_119ac_row3_col0\" class=\"data row3 col0\" >88.29</td>\n",
- " <td id=\"T_119ac_row3_col1\" class=\"data row3 col1\" >2.97</td>\n",
- " <td id=\"T_119ac_row3_col2\" class=\"data row3 col2\" >84.00</td>\n",
- " <td id=\"T_119ac_row3_col3\" class=\"data row3 col3\" >3.47</td>\n",
- " <td id=\"T_119ac_row3_col4\" class=\"data row3 col4\" >87.44</td>\n",
- " <td id=\"T_119ac_row3_col5\" class=\"data row3 col5\" >1.97</td>\n",
- " <td id=\"T_119ac_row3_col6\" class=\"data row3 col6\" >93.30</td>\n",
- " <td id=\"T_119ac_row3_col7\" class=\"data row3 col7\" >2.62</td>\n",
- " <td id=\"T_119ac_row3_col8\" class=\"data row3 col8\" >1.76</td>\n",
- " <td id=\"T_119ac_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_119ac_row3_col10\" class=\"data row3 col10\" >111.29</td>\n",
- " <td id=\"T_119ac_row3_col11\" class=\"data row3 col11\" >5.47</td>\n",
- " <td id=\"T_119ac_row3_col12\" class=\"data row3 col12\" >16.52</td>\n",
- " <td id=\"T_119ac_row3_col13\" class=\"data row3 col13\" >2.66</td>\n",
- " <td id=\"T_119ac_row3_col14\" class=\"data row3 col14\" >2.01</td>\n",
- " <td id=\"T_119ac_row3_col15\" class=\"data row3 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_119ac_row4_col0\" class=\"data row4 col0\" >88.09</td>\n",
- " <td id=\"T_119ac_row4_col1\" class=\"data row4 col1\" >2.96</td>\n",
- " <td id=\"T_119ac_row4_col2\" class=\"data row4 col2\" >84.17</td>\n",
- " <td id=\"T_119ac_row4_col3\" class=\"data row4 col3\" >4.03</td>\n",
- " <td id=\"T_119ac_row4_col4\" class=\"data row4 col4\" >87.28</td>\n",
- " <td id=\"T_119ac_row4_col5\" class=\"data row4 col5\" >2.15</td>\n",
- " <td id=\"T_119ac_row4_col6\" class=\"data row4 col6\" >93.64</td>\n",
- " <td id=\"T_119ac_row4_col7\" class=\"data row4 col7\" >2.71</td>\n",
- " <td id=\"T_119ac_row4_col8\" class=\"data row4 col8\" >1.75</td>\n",
- " <td id=\"T_119ac_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
- " <td id=\"T_119ac_row4_col10\" class=\"data row4 col10\" >111.70</td>\n",
- " <td id=\"T_119ac_row4_col11\" class=\"data row4 col11\" >5.56</td>\n",
- " <td id=\"T_119ac_row4_col12\" class=\"data row4 col12\" >16.95</td>\n",
- " <td id=\"T_119ac_row4_col13\" class=\"data row4 col13\" >2.62</td>\n",
- " <td id=\"T_119ac_row4_col14\" class=\"data row4 col14\" >2.02</td>\n",
- " <td id=\"T_119ac_row4_col15\" class=\"data row4 col15\" >0.10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_119ac_row5_col0\" class=\"data row5 col0\" >88.02</td>\n",
- " <td id=\"T_119ac_row5_col1\" class=\"data row5 col1\" >2.84</td>\n",
- " <td id=\"T_119ac_row5_col2\" class=\"data row5 col2\" >84.93</td>\n",
- " <td id=\"T_119ac_row5_col3\" class=\"data row5 col3\" >3.47</td>\n",
- " <td id=\"T_119ac_row5_col4\" class=\"data row5 col4\" >87.84</td>\n",
- " <td id=\"T_119ac_row5_col5\" class=\"data row5 col5\" >1.93</td>\n",
- " <td id=\"T_119ac_row5_col6\" class=\"data row5 col6\" >95.77</td>\n",
- " <td id=\"T_119ac_row5_col7\" class=\"data row5 col7\" >1.98</td>\n",
- " <td id=\"T_119ac_row5_col8\" class=\"data row5 col8\" >1.67</td>\n",
- " <td id=\"T_119ac_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row5_col10\" class=\"data row5 col10\" >90.54</td>\n",
- " <td id=\"T_119ac_row5_col11\" class=\"data row5 col11\" >4.73</td>\n",
- " <td id=\"T_119ac_row5_col12\" class=\"data row5 col12\" >16.40</td>\n",
- " <td id=\"T_119ac_row5_col13\" class=\"data row5 col13\" >2.73</td>\n",
- " <td id=\"T_119ac_row5_col14\" class=\"data row5 col14\" >1.64</td>\n",
- " <td id=\"T_119ac_row5_col15\" class=\"data row5 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_119ac_row6_col0\" class=\"data row6 col0\" >88.08</td>\n",
- " <td id=\"T_119ac_row6_col1\" class=\"data row6 col1\" >2.80</td>\n",
- " <td id=\"T_119ac_row6_col2\" class=\"data row6 col2\" >84.47</td>\n",
- " <td id=\"T_119ac_row6_col3\" class=\"data row6 col3\" >3.39</td>\n",
- " <td id=\"T_119ac_row6_col4\" class=\"data row6 col4\" >87.93</td>\n",
- " <td id=\"T_119ac_row6_col5\" class=\"data row6 col5\" >1.97</td>\n",
- " <td id=\"T_119ac_row6_col6\" class=\"data row6 col6\" >95.63</td>\n",
- " <td id=\"T_119ac_row6_col7\" class=\"data row6 col7\" >2.02</td>\n",
- " <td id=\"T_119ac_row6_col8\" class=\"data row6 col8\" >1.67</td>\n",
- " <td id=\"T_119ac_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row6_col10\" class=\"data row6 col10\" >80.70</td>\n",
- " <td id=\"T_119ac_row6_col11\" class=\"data row6 col11\" >4.79</td>\n",
- " <td id=\"T_119ac_row6_col12\" class=\"data row6 col12\" >16.47</td>\n",
- " <td id=\"T_119ac_row6_col13\" class=\"data row6 col13\" >2.78</td>\n",
- " <td id=\"T_119ac_row6_col14\" class=\"data row6 col14\" >1.46</td>\n",
- " <td id=\"T_119ac_row6_col15\" class=\"data row6 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_119ac_row7_col0\" class=\"data row7 col0\" >88.09</td>\n",
- " <td id=\"T_119ac_row7_col1\" class=\"data row7 col1\" >3.02</td>\n",
- " <td id=\"T_119ac_row7_col2\" class=\"data row7 col2\" >84.45</td>\n",
- " <td id=\"T_119ac_row7_col3\" class=\"data row7 col3\" >3.57</td>\n",
- " <td id=\"T_119ac_row7_col4\" class=\"data row7 col4\" >88.08</td>\n",
- " <td id=\"T_119ac_row7_col5\" class=\"data row7 col5\" >2.07</td>\n",
- " <td id=\"T_119ac_row7_col6\" class=\"data row7 col6\" >95.83</td>\n",
- " <td id=\"T_119ac_row7_col7\" class=\"data row7 col7\" >2.36</td>\n",
- " <td id=\"T_119ac_row7_col8\" class=\"data row7 col8\" >1.69</td>\n",
- " <td id=\"T_119ac_row7_col9\" class=\"data row7 col9\" >0.07</td>\n",
- " <td id=\"T_119ac_row7_col10\" class=\"data row7 col10\" >81.48</td>\n",
- " <td id=\"T_119ac_row7_col11\" class=\"data row7 col11\" >4.44</td>\n",
- " <td id=\"T_119ac_row7_col12\" class=\"data row7 col12\" >16.56</td>\n",
- " <td id=\"T_119ac_row7_col13\" class=\"data row7 col13\" >2.69</td>\n",
- " <td id=\"T_119ac_row7_col14\" class=\"data row7 col14\" >1.47</td>\n",
- " <td id=\"T_119ac_row7_col15\" class=\"data row7 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_119ac_row8_col0\" class=\"data row8 col0\" >87.92</td>\n",
- " <td id=\"T_119ac_row8_col1\" class=\"data row8 col1\" >2.92</td>\n",
- " <td id=\"T_119ac_row8_col2\" class=\"data row8 col2\" >83.89</td>\n",
- " <td id=\"T_119ac_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
- " <td id=\"T_119ac_row8_col4\" class=\"data row8 col4\" >87.51</td>\n",
- " <td id=\"T_119ac_row8_col5\" class=\"data row8 col5\" >1.67</td>\n",
- " <td id=\"T_119ac_row8_col6\" class=\"data row8 col6\" >94.76</td>\n",
- " <td id=\"T_119ac_row8_col7\" class=\"data row8 col7\" >2.41</td>\n",
- " <td id=\"T_119ac_row8_col8\" class=\"data row8 col8\" >1.73</td>\n",
- " <td id=\"T_119ac_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row8_col10\" class=\"data row8 col10\" >89.54</td>\n",
- " <td id=\"T_119ac_row8_col11\" class=\"data row8 col11\" >5.09</td>\n",
- " <td id=\"T_119ac_row8_col12\" class=\"data row8 col12\" >16.49</td>\n",
- " <td id=\"T_119ac_row8_col13\" class=\"data row8 col13\" >2.85</td>\n",
- " <td id=\"T_119ac_row8_col14\" class=\"data row8 col14\" >1.62</td>\n",
- " <td id=\"T_119ac_row8_col15\" class=\"data row8 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_119ac_row9_col0\" class=\"data row9 col0\" >88.06</td>\n",
- " <td id=\"T_119ac_row9_col1\" class=\"data row9 col1\" >3.00</td>\n",
- " <td id=\"T_119ac_row9_col2\" class=\"data row9 col2\" >84.08</td>\n",
- " <td id=\"T_119ac_row9_col3\" class=\"data row9 col3\" >3.76</td>\n",
- " <td id=\"T_119ac_row9_col4\" class=\"data row9 col4\" >87.29</td>\n",
- " <td id=\"T_119ac_row9_col5\" class=\"data row9 col5\" >1.86</td>\n",
- " <td id=\"T_119ac_row9_col6\" class=\"data row9 col6\" >95.24</td>\n",
- " <td id=\"T_119ac_row9_col7\" class=\"data row9 col7\" >2.22</td>\n",
- " <td id=\"T_119ac_row9_col8\" class=\"data row9 col8\" >1.72</td>\n",
- " <td id=\"T_119ac_row9_col9\" class=\"data row9 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row9_col10\" class=\"data row9 col10\" >90.59</td>\n",
- " <td id=\"T_119ac_row9_col11\" class=\"data row9 col11\" >4.96</td>\n",
- " <td id=\"T_119ac_row9_col12\" class=\"data row9 col12\" >16.92</td>\n",
- " <td id=\"T_119ac_row9_col13\" class=\"data row9 col13\" >2.63</td>\n",
- " <td id=\"T_119ac_row9_col14\" class=\"data row9 col14\" >1.64</td>\n",
- " <td id=\"T_119ac_row9_col15\" class=\"data row9 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_119ac_row10_col0\" class=\"data row10 col0\" >88.52</td>\n",
- " <td id=\"T_119ac_row10_col1\" class=\"data row10 col1\" >2.90</td>\n",
- " <td id=\"T_119ac_row10_col2\" class=\"data row10 col2\" >84.29</td>\n",
- " <td id=\"T_119ac_row10_col3\" class=\"data row10 col3\" >3.57</td>\n",
- " <td id=\"T_119ac_row10_col4\" class=\"data row10 col4\" >88.03</td>\n",
- " <td id=\"T_119ac_row10_col5\" class=\"data row10 col5\" >1.95</td>\n",
- " <td id=\"T_119ac_row10_col6\" class=\"data row10 col6\" >95.24</td>\n",
- " <td id=\"T_119ac_row10_col7\" class=\"data row10 col7\" >2.54</td>\n",
- " <td id=\"T_119ac_row10_col8\" class=\"data row10 col8\" >1.69</td>\n",
- " <td id=\"T_119ac_row10_col9\" class=\"data row10 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row10_col10\" class=\"data row10 col10\" >75.21</td>\n",
- " <td id=\"T_119ac_row10_col11\" class=\"data row10 col11\" >4.72</td>\n",
- " <td id=\"T_119ac_row10_col12\" class=\"data row10 col12\" >16.72</td>\n",
- " <td id=\"T_119ac_row10_col13\" class=\"data row10 col13\" >2.64</td>\n",
- " <td id=\"T_119ac_row10_col14\" class=\"data row10 col14\" >1.36</td>\n",
- " <td id=\"T_119ac_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_119ac_row11_col0\" class=\"data row11 col0\" >87.46</td>\n",
- " <td id=\"T_119ac_row11_col1\" class=\"data row11 col1\" >2.98</td>\n",
- " <td id=\"T_119ac_row11_col2\" class=\"data row11 col2\" >84.02</td>\n",
- " <td id=\"T_119ac_row11_col3\" class=\"data row11 col3\" >3.67</td>\n",
- " <td id=\"T_119ac_row11_col4\" class=\"data row11 col4\" >89.13</td>\n",
- " <td id=\"T_119ac_row11_col5\" class=\"data row11 col5\" >1.81</td>\n",
- " <td id=\"T_119ac_row11_col6\" class=\"data row11 col6\" >96.72</td>\n",
- " <td id=\"T_119ac_row11_col7\" class=\"data row11 col7\" >1.96</td>\n",
- " <td id=\"T_119ac_row11_col8\" class=\"data row11 col8\" >1.62</td>\n",
- " <td id=\"T_119ac_row11_col9\" class=\"data row11 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row11_col10\" class=\"data row11 col10\" >59.61</td>\n",
- " <td id=\"T_119ac_row11_col11\" class=\"data row11 col11\" >4.21</td>\n",
- " <td id=\"T_119ac_row11_col12\" class=\"data row11 col12\" >16.07</td>\n",
- " <td id=\"T_119ac_row11_col13\" class=\"data row11 col13\" >2.75</td>\n",
- " <td id=\"T_119ac_row11_col14\" class=\"data row11 col14\" >1.08</td>\n",
- " <td id=\"T_119ac_row11_col15\" class=\"data row11 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_119ac_row12_col0\" class=\"data row12 col0\" >87.90</td>\n",
- " <td id=\"T_119ac_row12_col1\" class=\"data row12 col1\" >3.07</td>\n",
- " <td id=\"T_119ac_row12_col2\" class=\"data row12 col2\" >84.18</td>\n",
- " <td id=\"T_119ac_row12_col3\" class=\"data row12 col3\" >3.52</td>\n",
- " <td id=\"T_119ac_row12_col4\" class=\"data row12 col4\" >89.05</td>\n",
- " <td id=\"T_119ac_row12_col5\" class=\"data row12 col5\" >2.09</td>\n",
- " <td id=\"T_119ac_row12_col6\" class=\"data row12 col6\" >97.38</td>\n",
- " <td id=\"T_119ac_row12_col7\" class=\"data row12 col7\" >1.95</td>\n",
- " <td id=\"T_119ac_row12_col8\" class=\"data row12 col8\" >1.62</td>\n",
- " <td id=\"T_119ac_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row12_col10\" class=\"data row12 col10\" >60.55</td>\n",
- " <td id=\"T_119ac_row12_col11\" class=\"data row12 col11\" >4.44</td>\n",
- " <td id=\"T_119ac_row12_col12\" class=\"data row12 col12\" >16.08</td>\n",
- " <td id=\"T_119ac_row12_col13\" class=\"data row12 col13\" >2.64</td>\n",
- " <td id=\"T_119ac_row12_col14\" class=\"data row12 col14\" >1.09</td>\n",
- " <td id=\"T_119ac_row12_col15\" class=\"data row12 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_119ac_row13_col0\" class=\"data row13 col0\" >88.11</td>\n",
- " <td id=\"T_119ac_row13_col1\" class=\"data row13 col1\" >2.75</td>\n",
- " <td id=\"T_119ac_row13_col2\" class=\"data row13 col2\" >84.15</td>\n",
- " <td id=\"T_119ac_row13_col3\" class=\"data row13 col3\" >3.50</td>\n",
- " <td id=\"T_119ac_row13_col4\" class=\"data row13 col4\" >89.67</td>\n",
- " <td id=\"T_119ac_row13_col5\" class=\"data row13 col5\" >2.01</td>\n",
- " <td id=\"T_119ac_row13_col6\" class=\"data row13 col6\" >97.60</td>\n",
- " <td id=\"T_119ac_row13_col7\" class=\"data row13 col7\" >1.71</td>\n",
- " <td id=\"T_119ac_row13_col8\" class=\"data row13 col8\" >1.57</td>\n",
- " <td id=\"T_119ac_row13_col9\" class=\"data row13 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row13_col10\" class=\"data row13 col10\" >48.38</td>\n",
- " <td id=\"T_119ac_row13_col11\" class=\"data row13 col11\" >4.17</td>\n",
- " <td id=\"T_119ac_row13_col12\" class=\"data row13 col12\" >15.86</td>\n",
- " <td id=\"T_119ac_row13_col13\" class=\"data row13 col13\" >2.62</td>\n",
- " <td id=\"T_119ac_row13_col14\" class=\"data row13 col14\" >0.88</td>\n",
- " <td id=\"T_119ac_row13_col15\" class=\"data row13 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_119ac_row14_col0\" class=\"data row14 col0\" >88.21</td>\n",
- " <td id=\"T_119ac_row14_col1\" class=\"data row14 col1\" >2.83</td>\n",
- " <td id=\"T_119ac_row14_col2\" class=\"data row14 col2\" >84.11</td>\n",
- " <td id=\"T_119ac_row14_col3\" class=\"data row14 col3\" >3.49</td>\n",
- " <td id=\"T_119ac_row14_col4\" class=\"data row14 col4\" >89.08</td>\n",
- " <td id=\"T_119ac_row14_col5\" class=\"data row14 col5\" >1.86</td>\n",
- " <td id=\"T_119ac_row14_col6\" class=\"data row14 col6\" >96.66</td>\n",
- " <td id=\"T_119ac_row14_col7\" class=\"data row14 col7\" >2.20</td>\n",
- " <td id=\"T_119ac_row14_col8\" class=\"data row14 col8\" >1.61</td>\n",
- " <td id=\"T_119ac_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
- " <td id=\"T_119ac_row14_col10\" class=\"data row14 col10\" >55.99</td>\n",
- " <td id=\"T_119ac_row14_col11\" class=\"data row14 col11\" >4.72</td>\n",
- " <td id=\"T_119ac_row14_col12\" class=\"data row14 col12\" >16.26</td>\n",
- " <td id=\"T_119ac_row14_col13\" class=\"data row14 col13\" >2.56</td>\n",
- " <td id=\"T_119ac_row14_col14\" class=\"data row14 col14\" >1.01</td>\n",
- " <td id=\"T_119ac_row14_col15\" class=\"data row14 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_119ac_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_119ac_row15_col0\" class=\"data row15 col0\" >87.87</td>\n",
- " <td id=\"T_119ac_row15_col1\" class=\"data row15 col1\" >2.94</td>\n",
- " <td id=\"T_119ac_row15_col2\" class=\"data row15 col2\" >83.98</td>\n",
- " <td id=\"T_119ac_row15_col3\" class=\"data row15 col3\" >3.46</td>\n",
- " <td id=\"T_119ac_row15_col4\" class=\"data row15 col4\" >90.97</td>\n",
- " <td id=\"T_119ac_row15_col5\" class=\"data row15 col5\" >1.99</td>\n",
- " <td id=\"T_119ac_row15_col6\" class=\"data row15 col6\" >98.57</td>\n",
- " <td id=\"T_119ac_row15_col7\" class=\"data row15 col7\" >1.20</td>\n",
- " <td id=\"T_119ac_row15_col8\" class=\"data row15 col8\" >1.49</td>\n",
- " <td id=\"T_119ac_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
- " <td id=\"T_119ac_row15_col10\" class=\"data row15 col10\" >31.30</td>\n",
- " <td id=\"T_119ac_row15_col11\" class=\"data row15 col11\" >3.13</td>\n",
- " <td id=\"T_119ac_row15_col12\" class=\"data row15 col12\" >15.31</td>\n",
- " <td id=\"T_119ac_row15_col13\" class=\"data row15 col13\" >2.67</td>\n",
- " <td id=\"T_119ac_row15_col14\" class=\"data row15 col14\" >0.57</td>\n",
- " <td id=\"T_119ac_row15_col15\" class=\"data row15 col15\" >0.06</td>\n",
+ " <th id=\"T_c11bd_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_c11bd_row0_col0\" class=\"data row0 col0\" >87.87</td>\n",
+ " <td id=\"T_c11bd_row0_col1\" class=\"data row0 col1\" >2.94</td>\n",
+ " <td id=\"T_c11bd_row0_col2\" class=\"data row0 col2\" >83.98</td>\n",
+ " <td id=\"T_c11bd_row0_col3\" class=\"data row0 col3\" >3.46</td>\n",
+ " <td id=\"T_c11bd_row0_col4\" class=\"data row0 col4\" >90.97</td>\n",
+ " <td id=\"T_c11bd_row0_col5\" class=\"data row0 col5\" >1.99</td>\n",
+ " <td id=\"T_c11bd_row0_col6\" class=\"data row0 col6\" >98.57</td>\n",
+ " <td id=\"T_c11bd_row0_col7\" class=\"data row0 col7\" >1.20</td>\n",
+ " <td id=\"T_c11bd_row0_col8\" class=\"data row0 col8\" >1.49</td>\n",
+ " <td id=\"T_c11bd_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
+ " <td id=\"T_c11bd_row0_col10\" class=\"data row0 col10\" >118.81</td>\n",
+ " <td id=\"T_c11bd_row0_col11\" class=\"data row0 col11\" >5.14</td>\n",
+ " <td id=\"T_c11bd_row0_col12\" class=\"data row0 col12\" >15.31</td>\n",
+ " <td id=\"T_c11bd_row0_col13\" class=\"data row0 col13\" >2.67</td>\n",
+ " <td id=\"T_c11bd_row0_col14\" class=\"data row0 col14\" >2.15</td>\n",
+ " <td id=\"T_c11bd_row0_col15\" class=\"data row0 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_c11bd_row1_col0\" class=\"data row1 col0\" >88.46</td>\n",
+ " <td id=\"T_c11bd_row1_col1\" class=\"data row1 col1\" >2.98</td>\n",
+ " <td id=\"T_c11bd_row1_col2\" class=\"data row1 col2\" >85.12</td>\n",
+ " <td id=\"T_c11bd_row1_col3\" class=\"data row1 col3\" >3.57</td>\n",
+ " <td id=\"T_c11bd_row1_col4\" class=\"data row1 col4\" >87.56</td>\n",
+ " <td id=\"T_c11bd_row1_col5\" class=\"data row1 col5\" >2.00</td>\n",
+ " <td id=\"T_c11bd_row1_col6\" class=\"data row1 col6\" >94.60</td>\n",
+ " <td id=\"T_c11bd_row1_col7\" class=\"data row1 col7\" >2.40</td>\n",
+ " <td id=\"T_c11bd_row1_col8\" class=\"data row1 col8\" >1.69</td>\n",
+ " <td id=\"T_c11bd_row1_col9\" class=\"data row1 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row1_col10\" class=\"data row1 col10\" >112.97</td>\n",
+ " <td id=\"T_c11bd_row1_col11\" class=\"data row1 col11\" >4.90</td>\n",
+ " <td id=\"T_c11bd_row1_col12\" class=\"data row1 col12\" >16.30</td>\n",
+ " <td id=\"T_c11bd_row1_col13\" class=\"data row1 col13\" >2.60</td>\n",
+ " <td id=\"T_c11bd_row1_col14\" class=\"data row1 col14\" >2.04</td>\n",
+ " <td id=\"T_c11bd_row1_col15\" class=\"data row1 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_c11bd_row2_col0\" class=\"data row2 col0\" >88.11</td>\n",
+ " <td id=\"T_c11bd_row2_col1\" class=\"data row2 col1\" >3.04</td>\n",
+ " <td id=\"T_c11bd_row2_col2\" class=\"data row2 col2\" >84.03</td>\n",
+ " <td id=\"T_c11bd_row2_col3\" class=\"data row2 col3\" >3.74</td>\n",
+ " <td id=\"T_c11bd_row2_col4\" class=\"data row2 col4\" >87.57</td>\n",
+ " <td id=\"T_c11bd_row2_col5\" class=\"data row2 col5\" >2.00</td>\n",
+ " <td id=\"T_c11bd_row2_col6\" class=\"data row2 col6\" >94.55</td>\n",
+ " <td id=\"T_c11bd_row2_col7\" class=\"data row2 col7\" >2.74</td>\n",
+ " <td id=\"T_c11bd_row2_col8\" class=\"data row2 col8\" >1.69</td>\n",
+ " <td id=\"T_c11bd_row2_col9\" class=\"data row2 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row2_col10\" class=\"data row2 col10\" >112.14</td>\n",
+ " <td id=\"T_c11bd_row2_col11\" class=\"data row2 col11\" >5.71</td>\n",
+ " <td id=\"T_c11bd_row2_col12\" class=\"data row2 col12\" >16.33</td>\n",
+ " <td id=\"T_c11bd_row2_col13\" class=\"data row2 col13\" >2.73</td>\n",
+ " <td id=\"T_c11bd_row2_col14\" class=\"data row2 col14\" >2.03</td>\n",
+ " <td id=\"T_c11bd_row2_col15\" class=\"data row2 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_c11bd_row3_col0\" class=\"data row3 col0\" >88.29</td>\n",
+ " <td id=\"T_c11bd_row3_col1\" class=\"data row3 col1\" >2.97</td>\n",
+ " <td id=\"T_c11bd_row3_col2\" class=\"data row3 col2\" >84.00</td>\n",
+ " <td id=\"T_c11bd_row3_col3\" class=\"data row3 col3\" >3.47</td>\n",
+ " <td id=\"T_c11bd_row3_col4\" class=\"data row3 col4\" >87.44</td>\n",
+ " <td id=\"T_c11bd_row3_col5\" class=\"data row3 col5\" >1.97</td>\n",
+ " <td id=\"T_c11bd_row3_col6\" class=\"data row3 col6\" >93.30</td>\n",
+ " <td id=\"T_c11bd_row3_col7\" class=\"data row3 col7\" >2.62</td>\n",
+ " <td id=\"T_c11bd_row3_col8\" class=\"data row3 col8\" >1.76</td>\n",
+ " <td id=\"T_c11bd_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_c11bd_row3_col10\" class=\"data row3 col10\" >111.29</td>\n",
+ " <td id=\"T_c11bd_row3_col11\" class=\"data row3 col11\" >5.47</td>\n",
+ " <td id=\"T_c11bd_row3_col12\" class=\"data row3 col12\" >16.52</td>\n",
+ " <td id=\"T_c11bd_row3_col13\" class=\"data row3 col13\" >2.66</td>\n",
+ " <td id=\"T_c11bd_row3_col14\" class=\"data row3 col14\" >2.01</td>\n",
+ " <td id=\"T_c11bd_row3_col15\" class=\"data row3 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_c11bd_row4_col0\" class=\"data row4 col0\" >88.09</td>\n",
+ " <td id=\"T_c11bd_row4_col1\" class=\"data row4 col1\" >2.96</td>\n",
+ " <td id=\"T_c11bd_row4_col2\" class=\"data row4 col2\" >84.17</td>\n",
+ " <td id=\"T_c11bd_row4_col3\" class=\"data row4 col3\" >4.03</td>\n",
+ " <td id=\"T_c11bd_row4_col4\" class=\"data row4 col4\" >87.28</td>\n",
+ " <td id=\"T_c11bd_row4_col5\" class=\"data row4 col5\" >2.15</td>\n",
+ " <td id=\"T_c11bd_row4_col6\" class=\"data row4 col6\" >93.64</td>\n",
+ " <td id=\"T_c11bd_row4_col7\" class=\"data row4 col7\" >2.71</td>\n",
+ " <td id=\"T_c11bd_row4_col8\" class=\"data row4 col8\" >1.75</td>\n",
+ " <td id=\"T_c11bd_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
+ " <td id=\"T_c11bd_row4_col10\" class=\"data row4 col10\" >111.70</td>\n",
+ " <td id=\"T_c11bd_row4_col11\" class=\"data row4 col11\" >5.56</td>\n",
+ " <td id=\"T_c11bd_row4_col12\" class=\"data row4 col12\" >16.95</td>\n",
+ " <td id=\"T_c11bd_row4_col13\" class=\"data row4 col13\" >2.62</td>\n",
+ " <td id=\"T_c11bd_row4_col14\" class=\"data row4 col14\" >2.02</td>\n",
+ " <td id=\"T_c11bd_row4_col15\" class=\"data row4 col15\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_c11bd_row5_col0\" class=\"data row5 col0\" >88.02</td>\n",
+ " <td id=\"T_c11bd_row5_col1\" class=\"data row5 col1\" >2.84</td>\n",
+ " <td id=\"T_c11bd_row5_col2\" class=\"data row5 col2\" >84.93</td>\n",
+ " <td id=\"T_c11bd_row5_col3\" class=\"data row5 col3\" >3.47</td>\n",
+ " <td id=\"T_c11bd_row5_col4\" class=\"data row5 col4\" >87.84</td>\n",
+ " <td id=\"T_c11bd_row5_col5\" class=\"data row5 col5\" >1.93</td>\n",
+ " <td id=\"T_c11bd_row5_col6\" class=\"data row5 col6\" >95.77</td>\n",
+ " <td id=\"T_c11bd_row5_col7\" class=\"data row5 col7\" >1.98</td>\n",
+ " <td id=\"T_c11bd_row5_col8\" class=\"data row5 col8\" >1.67</td>\n",
+ " <td id=\"T_c11bd_row5_col9\" class=\"data row5 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row5_col10\" class=\"data row5 col10\" >90.54</td>\n",
+ " <td id=\"T_c11bd_row5_col11\" class=\"data row5 col11\" >4.73</td>\n",
+ " <td id=\"T_c11bd_row5_col12\" class=\"data row5 col12\" >16.40</td>\n",
+ " <td id=\"T_c11bd_row5_col13\" class=\"data row5 col13\" >2.73</td>\n",
+ " <td id=\"T_c11bd_row5_col14\" class=\"data row5 col14\" >1.64</td>\n",
+ " <td id=\"T_c11bd_row5_col15\" class=\"data row5 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_c11bd_row6_col0\" class=\"data row6 col0\" >88.08</td>\n",
+ " <td id=\"T_c11bd_row6_col1\" class=\"data row6 col1\" >2.80</td>\n",
+ " <td id=\"T_c11bd_row6_col2\" class=\"data row6 col2\" >84.47</td>\n",
+ " <td id=\"T_c11bd_row6_col3\" class=\"data row6 col3\" >3.39</td>\n",
+ " <td id=\"T_c11bd_row6_col4\" class=\"data row6 col4\" >87.93</td>\n",
+ " <td id=\"T_c11bd_row6_col5\" class=\"data row6 col5\" >1.97</td>\n",
+ " <td id=\"T_c11bd_row6_col6\" class=\"data row6 col6\" >95.63</td>\n",
+ " <td id=\"T_c11bd_row6_col7\" class=\"data row6 col7\" >2.02</td>\n",
+ " <td id=\"T_c11bd_row6_col8\" class=\"data row6 col8\" >1.67</td>\n",
+ " <td id=\"T_c11bd_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row6_col10\" class=\"data row6 col10\" >80.70</td>\n",
+ " <td id=\"T_c11bd_row6_col11\" class=\"data row6 col11\" >4.79</td>\n",
+ " <td id=\"T_c11bd_row6_col12\" class=\"data row6 col12\" >16.47</td>\n",
+ " <td id=\"T_c11bd_row6_col13\" class=\"data row6 col13\" >2.78</td>\n",
+ " <td id=\"T_c11bd_row6_col14\" class=\"data row6 col14\" >1.46</td>\n",
+ " <td id=\"T_c11bd_row6_col15\" class=\"data row6 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_c11bd_row7_col0\" class=\"data row7 col0\" >88.09</td>\n",
+ " <td id=\"T_c11bd_row7_col1\" class=\"data row7 col1\" >3.02</td>\n",
+ " <td id=\"T_c11bd_row7_col2\" class=\"data row7 col2\" >84.45</td>\n",
+ " <td id=\"T_c11bd_row7_col3\" class=\"data row7 col3\" >3.57</td>\n",
+ " <td id=\"T_c11bd_row7_col4\" class=\"data row7 col4\" >88.08</td>\n",
+ " <td id=\"T_c11bd_row7_col5\" class=\"data row7 col5\" >2.07</td>\n",
+ " <td id=\"T_c11bd_row7_col6\" class=\"data row7 col6\" >95.83</td>\n",
+ " <td id=\"T_c11bd_row7_col7\" class=\"data row7 col7\" >2.36</td>\n",
+ " <td id=\"T_c11bd_row7_col8\" class=\"data row7 col8\" >1.69</td>\n",
+ " <td id=\"T_c11bd_row7_col9\" class=\"data row7 col9\" >0.07</td>\n",
+ " <td id=\"T_c11bd_row7_col10\" class=\"data row7 col10\" >81.48</td>\n",
+ " <td id=\"T_c11bd_row7_col11\" class=\"data row7 col11\" >4.44</td>\n",
+ " <td id=\"T_c11bd_row7_col12\" class=\"data row7 col12\" >16.56</td>\n",
+ " <td id=\"T_c11bd_row7_col13\" class=\"data row7 col13\" >2.69</td>\n",
+ " <td id=\"T_c11bd_row7_col14\" class=\"data row7 col14\" >1.47</td>\n",
+ " <td id=\"T_c11bd_row7_col15\" class=\"data row7 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_c11bd_row8_col0\" class=\"data row8 col0\" >87.92</td>\n",
+ " <td id=\"T_c11bd_row8_col1\" class=\"data row8 col1\" >2.92</td>\n",
+ " <td id=\"T_c11bd_row8_col2\" class=\"data row8 col2\" >83.89</td>\n",
+ " <td id=\"T_c11bd_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
+ " <td id=\"T_c11bd_row8_col4\" class=\"data row8 col4\" >87.51</td>\n",
+ " <td id=\"T_c11bd_row8_col5\" class=\"data row8 col5\" >1.67</td>\n",
+ " <td id=\"T_c11bd_row8_col6\" class=\"data row8 col6\" >94.76</td>\n",
+ " <td id=\"T_c11bd_row8_col7\" class=\"data row8 col7\" >2.41</td>\n",
+ " <td id=\"T_c11bd_row8_col8\" class=\"data row8 col8\" >1.73</td>\n",
+ " <td id=\"T_c11bd_row8_col9\" class=\"data row8 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row8_col10\" class=\"data row8 col10\" >89.54</td>\n",
+ " <td id=\"T_c11bd_row8_col11\" class=\"data row8 col11\" >5.09</td>\n",
+ " <td id=\"T_c11bd_row8_col12\" class=\"data row8 col12\" >16.49</td>\n",
+ " <td id=\"T_c11bd_row8_col13\" class=\"data row8 col13\" >2.85</td>\n",
+ " <td id=\"T_c11bd_row8_col14\" class=\"data row8 col14\" >1.62</td>\n",
+ " <td id=\"T_c11bd_row8_col15\" class=\"data row8 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_c11bd_row9_col0\" class=\"data row9 col0\" >88.06</td>\n",
+ " <td id=\"T_c11bd_row9_col1\" class=\"data row9 col1\" >3.00</td>\n",
+ " <td id=\"T_c11bd_row9_col2\" class=\"data row9 col2\" >84.08</td>\n",
+ " <td id=\"T_c11bd_row9_col3\" class=\"data row9 col3\" >3.76</td>\n",
+ " <td id=\"T_c11bd_row9_col4\" class=\"data row9 col4\" >87.29</td>\n",
+ " <td id=\"T_c11bd_row9_col5\" class=\"data row9 col5\" >1.86</td>\n",
+ " <td id=\"T_c11bd_row9_col6\" class=\"data row9 col6\" >95.24</td>\n",
+ " <td id=\"T_c11bd_row9_col7\" class=\"data row9 col7\" >2.22</td>\n",
+ " <td id=\"T_c11bd_row9_col8\" class=\"data row9 col8\" >1.72</td>\n",
+ " <td id=\"T_c11bd_row9_col9\" class=\"data row9 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row9_col10\" class=\"data row9 col10\" >90.59</td>\n",
+ " <td id=\"T_c11bd_row9_col11\" class=\"data row9 col11\" >4.96</td>\n",
+ " <td id=\"T_c11bd_row9_col12\" class=\"data row9 col12\" >16.92</td>\n",
+ " <td id=\"T_c11bd_row9_col13\" class=\"data row9 col13\" >2.63</td>\n",
+ " <td id=\"T_c11bd_row9_col14\" class=\"data row9 col14\" >1.64</td>\n",
+ " <td id=\"T_c11bd_row9_col15\" class=\"data row9 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_c11bd_row10_col0\" class=\"data row10 col0\" >88.52</td>\n",
+ " <td id=\"T_c11bd_row10_col1\" class=\"data row10 col1\" >2.90</td>\n",
+ " <td id=\"T_c11bd_row10_col2\" class=\"data row10 col2\" >84.29</td>\n",
+ " <td id=\"T_c11bd_row10_col3\" class=\"data row10 col3\" >3.57</td>\n",
+ " <td id=\"T_c11bd_row10_col4\" class=\"data row10 col4\" >88.03</td>\n",
+ " <td id=\"T_c11bd_row10_col5\" class=\"data row10 col5\" >1.95</td>\n",
+ " <td id=\"T_c11bd_row10_col6\" class=\"data row10 col6\" >95.24</td>\n",
+ " <td id=\"T_c11bd_row10_col7\" class=\"data row10 col7\" >2.54</td>\n",
+ " <td id=\"T_c11bd_row10_col8\" class=\"data row10 col8\" >1.69</td>\n",
+ " <td id=\"T_c11bd_row10_col9\" class=\"data row10 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row10_col10\" class=\"data row10 col10\" >75.21</td>\n",
+ " <td id=\"T_c11bd_row10_col11\" class=\"data row10 col11\" >4.72</td>\n",
+ " <td id=\"T_c11bd_row10_col12\" class=\"data row10 col12\" >16.72</td>\n",
+ " <td id=\"T_c11bd_row10_col13\" class=\"data row10 col13\" >2.64</td>\n",
+ " <td id=\"T_c11bd_row10_col14\" class=\"data row10 col14\" >1.36</td>\n",
+ " <td id=\"T_c11bd_row10_col15\" class=\"data row10 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_c11bd_row11_col0\" class=\"data row11 col0\" >87.46</td>\n",
+ " <td id=\"T_c11bd_row11_col1\" class=\"data row11 col1\" >2.98</td>\n",
+ " <td id=\"T_c11bd_row11_col2\" class=\"data row11 col2\" >84.02</td>\n",
+ " <td id=\"T_c11bd_row11_col3\" class=\"data row11 col3\" >3.67</td>\n",
+ " <td id=\"T_c11bd_row11_col4\" class=\"data row11 col4\" >89.13</td>\n",
+ " <td id=\"T_c11bd_row11_col5\" class=\"data row11 col5\" >1.81</td>\n",
+ " <td id=\"T_c11bd_row11_col6\" class=\"data row11 col6\" >96.72</td>\n",
+ " <td id=\"T_c11bd_row11_col7\" class=\"data row11 col7\" >1.96</td>\n",
+ " <td id=\"T_c11bd_row11_col8\" class=\"data row11 col8\" >1.62</td>\n",
+ " <td id=\"T_c11bd_row11_col9\" class=\"data row11 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row11_col10\" class=\"data row11 col10\" >59.61</td>\n",
+ " <td id=\"T_c11bd_row11_col11\" class=\"data row11 col11\" >4.21</td>\n",
+ " <td id=\"T_c11bd_row11_col12\" class=\"data row11 col12\" >16.07</td>\n",
+ " <td id=\"T_c11bd_row11_col13\" class=\"data row11 col13\" >2.75</td>\n",
+ " <td id=\"T_c11bd_row11_col14\" class=\"data row11 col14\" >1.08</td>\n",
+ " <td id=\"T_c11bd_row11_col15\" class=\"data row11 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_c11bd_row12_col0\" class=\"data row12 col0\" >87.90</td>\n",
+ " <td id=\"T_c11bd_row12_col1\" class=\"data row12 col1\" >3.07</td>\n",
+ " <td id=\"T_c11bd_row12_col2\" class=\"data row12 col2\" >84.18</td>\n",
+ " <td id=\"T_c11bd_row12_col3\" class=\"data row12 col3\" >3.52</td>\n",
+ " <td id=\"T_c11bd_row12_col4\" class=\"data row12 col4\" >89.05</td>\n",
+ " <td id=\"T_c11bd_row12_col5\" class=\"data row12 col5\" >2.09</td>\n",
+ " <td id=\"T_c11bd_row12_col6\" class=\"data row12 col6\" >97.38</td>\n",
+ " <td id=\"T_c11bd_row12_col7\" class=\"data row12 col7\" >1.95</td>\n",
+ " <td id=\"T_c11bd_row12_col8\" class=\"data row12 col8\" >1.62</td>\n",
+ " <td id=\"T_c11bd_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row12_col10\" class=\"data row12 col10\" >60.55</td>\n",
+ " <td id=\"T_c11bd_row12_col11\" class=\"data row12 col11\" >4.44</td>\n",
+ " <td id=\"T_c11bd_row12_col12\" class=\"data row12 col12\" >16.08</td>\n",
+ " <td id=\"T_c11bd_row12_col13\" class=\"data row12 col13\" >2.64</td>\n",
+ " <td id=\"T_c11bd_row12_col14\" class=\"data row12 col14\" >1.09</td>\n",
+ " <td id=\"T_c11bd_row12_col15\" class=\"data row12 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_c11bd_row13_col0\" class=\"data row13 col0\" >88.11</td>\n",
+ " <td id=\"T_c11bd_row13_col1\" class=\"data row13 col1\" >2.75</td>\n",
+ " <td id=\"T_c11bd_row13_col2\" class=\"data row13 col2\" >84.15</td>\n",
+ " <td id=\"T_c11bd_row13_col3\" class=\"data row13 col3\" >3.50</td>\n",
+ " <td id=\"T_c11bd_row13_col4\" class=\"data row13 col4\" >89.67</td>\n",
+ " <td id=\"T_c11bd_row13_col5\" class=\"data row13 col5\" >2.01</td>\n",
+ " <td id=\"T_c11bd_row13_col6\" class=\"data row13 col6\" >97.60</td>\n",
+ " <td id=\"T_c11bd_row13_col7\" class=\"data row13 col7\" >1.71</td>\n",
+ " <td id=\"T_c11bd_row13_col8\" class=\"data row13 col8\" >1.57</td>\n",
+ " <td id=\"T_c11bd_row13_col9\" class=\"data row13 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row13_col10\" class=\"data row13 col10\" >48.38</td>\n",
+ " <td id=\"T_c11bd_row13_col11\" class=\"data row13 col11\" >4.17</td>\n",
+ " <td id=\"T_c11bd_row13_col12\" class=\"data row13 col12\" >15.86</td>\n",
+ " <td id=\"T_c11bd_row13_col13\" class=\"data row13 col13\" >2.62</td>\n",
+ " <td id=\"T_c11bd_row13_col14\" class=\"data row13 col14\" >0.88</td>\n",
+ " <td id=\"T_c11bd_row13_col15\" class=\"data row13 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_c11bd_row14_col0\" class=\"data row14 col0\" >88.21</td>\n",
+ " <td id=\"T_c11bd_row14_col1\" class=\"data row14 col1\" >2.83</td>\n",
+ " <td id=\"T_c11bd_row14_col2\" class=\"data row14 col2\" >84.11</td>\n",
+ " <td id=\"T_c11bd_row14_col3\" class=\"data row14 col3\" >3.49</td>\n",
+ " <td id=\"T_c11bd_row14_col4\" class=\"data row14 col4\" >89.08</td>\n",
+ " <td id=\"T_c11bd_row14_col5\" class=\"data row14 col5\" >1.86</td>\n",
+ " <td id=\"T_c11bd_row14_col6\" class=\"data row14 col6\" >96.66</td>\n",
+ " <td id=\"T_c11bd_row14_col7\" class=\"data row14 col7\" >2.20</td>\n",
+ " <td id=\"T_c11bd_row14_col8\" class=\"data row14 col8\" >1.61</td>\n",
+ " <td id=\"T_c11bd_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
+ " <td id=\"T_c11bd_row14_col10\" class=\"data row14 col10\" >55.99</td>\n",
+ " <td id=\"T_c11bd_row14_col11\" class=\"data row14 col11\" >4.72</td>\n",
+ " <td id=\"T_c11bd_row14_col12\" class=\"data row14 col12\" >16.26</td>\n",
+ " <td id=\"T_c11bd_row14_col13\" class=\"data row14 col13\" >2.56</td>\n",
+ " <td id=\"T_c11bd_row14_col14\" class=\"data row14 col14\" >1.01</td>\n",
+ " <td id=\"T_c11bd_row14_col15\" class=\"data row14 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c11bd_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_c11bd_row15_col0\" class=\"data row15 col0\" >87.87</td>\n",
+ " <td id=\"T_c11bd_row15_col1\" class=\"data row15 col1\" >2.94</td>\n",
+ " <td id=\"T_c11bd_row15_col2\" class=\"data row15 col2\" >83.98</td>\n",
+ " <td id=\"T_c11bd_row15_col3\" class=\"data row15 col3\" >3.46</td>\n",
+ " <td id=\"T_c11bd_row15_col4\" class=\"data row15 col4\" >90.97</td>\n",
+ " <td id=\"T_c11bd_row15_col5\" class=\"data row15 col5\" >1.99</td>\n",
+ " <td id=\"T_c11bd_row15_col6\" class=\"data row15 col6\" >98.57</td>\n",
+ " <td id=\"T_c11bd_row15_col7\" class=\"data row15 col7\" >1.20</td>\n",
+ " <td id=\"T_c11bd_row15_col8\" class=\"data row15 col8\" >1.49</td>\n",
+ " <td id=\"T_c11bd_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
+ " <td id=\"T_c11bd_row15_col10\" class=\"data row15 col10\" >31.30</td>\n",
+ " <td id=\"T_c11bd_row15_col11\" class=\"data row15 col11\" >3.13</td>\n",
+ " <td id=\"T_c11bd_row15_col12\" class=\"data row15 col12\" >15.31</td>\n",
+ " <td id=\"T_c11bd_row15_col13\" class=\"data row15 col13\" >2.67</td>\n",
+ " <td id=\"T_c11bd_row15_col14\" class=\"data row15 col14\" >0.57</td>\n",
+ " <td id=\"T_c11bd_row15_col15\" class=\"data row15 col15\" >0.06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7c31daf6c980>"
+ "<pandas.io.formats.style.Styler at 0x715138108e10>"
]
},
"metadata": {},
@@ -435,367 +429,367 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_b1609 td {\n",
+ "#T_9996d td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_b1609 th {\n",
+ "#T_9996d th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_b1609_row0_col4, #T_b1609_row0_col6, #T_b1609_row0_col8, #T_b1609_row0_col10, #T_b1609_row0_col12, #T_b1609_row0_col14, #T_b1609_row1_col2, #T_b1609_row2_col0, #T_b1609_row15_col4, #T_b1609_row15_col6, #T_b1609_row15_col8, #T_b1609_row15_col12 {\n",
+ "#T_9996d_row0_col4, #T_9996d_row0_col6, #T_9996d_row0_col8, #T_9996d_row0_col10, #T_9996d_row0_col12, #T_9996d_row0_col14, #T_9996d_row1_col2, #T_9996d_row2_col0, #T_9996d_row15_col4, #T_9996d_row15_col6, #T_9996d_row15_col8, #T_9996d_row15_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_b1609\">\n",
+ "<table id=\"T_9996d\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_b1609_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_b1609_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_b1609_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_9996d_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_9996d_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_9996d_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_b1609_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_b1609_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_b1609_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_b1609_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_b1609_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_b1609_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_b1609_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_b1609_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_9996d_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_9996d_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_9996d_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_9996d_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_9996d_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_9996d_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_9996d_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_9996d_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_b1609_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_b1609_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_b1609_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_b1609_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_b1609_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_b1609_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_b1609_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_b1609_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_b1609_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_9996d_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_9996d_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_b1609_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_b1609_row0_col0\" class=\"data row0 col0\" >94.86</td>\n",
- " <td id=\"T_b1609_row0_col1\" class=\"data row0 col1\" >2.35</td>\n",
- " <td id=\"T_b1609_row0_col2\" class=\"data row0 col2\" >94.04</td>\n",
- " <td id=\"T_b1609_row0_col3\" class=\"data row0 col3\" >2.45</td>\n",
- " <td id=\"T_b1609_row0_col4\" class=\"data row0 col4\" >95.91</td>\n",
- " <td id=\"T_b1609_row0_col5\" class=\"data row0 col5\" >1.62</td>\n",
- " <td id=\"T_b1609_row0_col6\" class=\"data row0 col6\" >99.38</td>\n",
- " <td id=\"T_b1609_row0_col7\" class=\"data row0 col7\" >1.07</td>\n",
- " <td id=\"T_b1609_row0_col8\" class=\"data row0 col8\" >1.27</td>\n",
- " <td id=\"T_b1609_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
- " <td id=\"T_b1609_row0_col10\" class=\"data row0 col10\" >88.94</td>\n",
- " <td id=\"T_b1609_row0_col11\" class=\"data row0 col11\" >3.34</td>\n",
- " <td id=\"T_b1609_row0_col12\" class=\"data row0 col12\" >34.63</td>\n",
- " <td id=\"T_b1609_row0_col13\" class=\"data row0 col13\" >3.14</td>\n",
- " <td id=\"T_b1609_row0_col14\" class=\"data row0 col14\" >1.61</td>\n",
- " <td id=\"T_b1609_row0_col15\" class=\"data row0 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_b1609_row1_col0\" class=\"data row1 col0\" >95.18</td>\n",
- " <td id=\"T_b1609_row1_col1\" class=\"data row1 col1\" >2.28</td>\n",
- " <td id=\"T_b1609_row1_col2\" class=\"data row1 col2\" >94.75</td>\n",
- " <td id=\"T_b1609_row1_col3\" class=\"data row1 col3\" >2.34</td>\n",
- " <td id=\"T_b1609_row1_col4\" class=\"data row1 col4\" >91.92</td>\n",
- " <td id=\"T_b1609_row1_col5\" class=\"data row1 col5\" >1.77</td>\n",
- " <td id=\"T_b1609_row1_col6\" class=\"data row1 col6\" >96.17</td>\n",
- " <td id=\"T_b1609_row1_col7\" class=\"data row1 col7\" >2.19</td>\n",
- " <td id=\"T_b1609_row1_col8\" class=\"data row1 col8\" >1.48</td>\n",
- " <td id=\"T_b1609_row1_col9\" class=\"data row1 col9\" >0.06</td>\n",
- " <td id=\"T_b1609_row1_col10\" class=\"data row1 col10\" >84.38</td>\n",
- " <td id=\"T_b1609_row1_col11\" class=\"data row1 col11\" >3.00</td>\n",
- " <td id=\"T_b1609_row1_col12\" class=\"data row1 col12\" >36.35</td>\n",
- " <td id=\"T_b1609_row1_col13\" class=\"data row1 col13\" >3.19</td>\n",
- " <td id=\"T_b1609_row1_col14\" class=\"data row1 col14\" >1.53</td>\n",
- " <td id=\"T_b1609_row1_col15\" class=\"data row1 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_b1609_row2_col0\" class=\"data row2 col0\" >95.39</td>\n",
- " <td id=\"T_b1609_row2_col1\" class=\"data row2 col1\" >2.06</td>\n",
- " <td id=\"T_b1609_row2_col2\" class=\"data row2 col2\" >94.19</td>\n",
- " <td id=\"T_b1609_row2_col3\" class=\"data row2 col3\" >2.86</td>\n",
- " <td id=\"T_b1609_row2_col4\" class=\"data row2 col4\" >91.86</td>\n",
- " <td id=\"T_b1609_row2_col5\" class=\"data row2 col5\" >1.81</td>\n",
- " <td id=\"T_b1609_row2_col6\" class=\"data row2 col6\" >96.76</td>\n",
- " <td id=\"T_b1609_row2_col7\" class=\"data row2 col7\" >2.11</td>\n",
- " <td id=\"T_b1609_row2_col8\" class=\"data row2 col8\" >1.46</td>\n",
- " <td id=\"T_b1609_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_b1609_row2_col10\" class=\"data row2 col10\" >84.39</td>\n",
- " <td id=\"T_b1609_row2_col11\" class=\"data row2 col11\" >3.19</td>\n",
- " <td id=\"T_b1609_row2_col12\" class=\"data row2 col12\" >36.00</td>\n",
- " <td id=\"T_b1609_row2_col13\" class=\"data row2 col13\" >3.37</td>\n",
- " <td id=\"T_b1609_row2_col14\" class=\"data row2 col14\" >1.53</td>\n",
- " <td id=\"T_b1609_row2_col15\" class=\"data row2 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_b1609_row3_col0\" class=\"data row3 col0\" >95.21</td>\n",
- " <td id=\"T_b1609_row3_col1\" class=\"data row3 col1\" >2.27</td>\n",
- " <td id=\"T_b1609_row3_col2\" class=\"data row3 col2\" >93.84</td>\n",
- " <td id=\"T_b1609_row3_col3\" class=\"data row3 col3\" >2.64</td>\n",
- " <td id=\"T_b1609_row3_col4\" class=\"data row3 col4\" >91.39</td>\n",
- " <td id=\"T_b1609_row3_col5\" class=\"data row3 col5\" >1.80</td>\n",
- " <td id=\"T_b1609_row3_col6\" class=\"data row3 col6\" >95.64</td>\n",
- " <td id=\"T_b1609_row3_col7\" class=\"data row3 col7\" >2.74</td>\n",
- " <td id=\"T_b1609_row3_col8\" class=\"data row3 col8\" >1.56</td>\n",
- " <td id=\"T_b1609_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_b1609_row3_col10\" class=\"data row3 col10\" >83.33</td>\n",
- " <td id=\"T_b1609_row3_col11\" class=\"data row3 col11\" >2.95</td>\n",
- " <td id=\"T_b1609_row3_col12\" class=\"data row3 col12\" >36.27</td>\n",
- " <td id=\"T_b1609_row3_col13\" class=\"data row3 col13\" >3.33</td>\n",
- " <td id=\"T_b1609_row3_col14\" class=\"data row3 col14\" >1.51</td>\n",
- " <td id=\"T_b1609_row3_col15\" class=\"data row3 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_b1609_row4_col0\" class=\"data row4 col0\" >95.28</td>\n",
- " <td id=\"T_b1609_row4_col1\" class=\"data row4 col1\" >2.35</td>\n",
- " <td id=\"T_b1609_row4_col2\" class=\"data row4 col2\" >94.09</td>\n",
- " <td id=\"T_b1609_row4_col3\" class=\"data row4 col3\" >2.55</td>\n",
- " <td id=\"T_b1609_row4_col4\" class=\"data row4 col4\" >91.95</td>\n",
- " <td id=\"T_b1609_row4_col5\" class=\"data row4 col5\" >1.80</td>\n",
- " <td id=\"T_b1609_row4_col6\" class=\"data row4 col6\" >95.65</td>\n",
- " <td id=\"T_b1609_row4_col7\" class=\"data row4 col7\" >2.60</td>\n",
- " <td id=\"T_b1609_row4_col8\" class=\"data row4 col8\" >1.54</td>\n",
- " <td id=\"T_b1609_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
- " <td id=\"T_b1609_row4_col10\" class=\"data row4 col10\" >84.13</td>\n",
- " <td id=\"T_b1609_row4_col11\" class=\"data row4 col11\" >3.48</td>\n",
- " <td id=\"T_b1609_row4_col12\" class=\"data row4 col12\" >36.22</td>\n",
- " <td id=\"T_b1609_row4_col13\" class=\"data row4 col13\" >3.44</td>\n",
- " <td id=\"T_b1609_row4_col14\" class=\"data row4 col14\" >1.52</td>\n",
- " <td id=\"T_b1609_row4_col15\" class=\"data row4 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_b1609_row5_col0\" class=\"data row5 col0\" >95.08</td>\n",
- " <td id=\"T_b1609_row5_col1\" class=\"data row5 col1\" >2.23</td>\n",
- " <td id=\"T_b1609_row5_col2\" class=\"data row5 col2\" >94.72</td>\n",
- " <td id=\"T_b1609_row5_col3\" class=\"data row5 col3\" >2.77</td>\n",
- " <td id=\"T_b1609_row5_col4\" class=\"data row5 col4\" >92.58</td>\n",
- " <td id=\"T_b1609_row5_col5\" class=\"data row5 col5\" >1.84</td>\n",
- " <td id=\"T_b1609_row5_col6\" class=\"data row5 col6\" >97.30</td>\n",
- " <td id=\"T_b1609_row5_col7\" class=\"data row5 col7\" >1.81</td>\n",
- " <td id=\"T_b1609_row5_col8\" class=\"data row5 col8\" >1.45</td>\n",
- " <td id=\"T_b1609_row5_col9\" class=\"data row5 col9\" >0.07</td>\n",
- " <td id=\"T_b1609_row5_col10\" class=\"data row5 col10\" >63.20</td>\n",
- " <td id=\"T_b1609_row5_col11\" class=\"data row5 col11\" >3.87</td>\n",
- " <td id=\"T_b1609_row5_col12\" class=\"data row5 col12\" >36.02</td>\n",
- " <td id=\"T_b1609_row5_col13\" class=\"data row5 col13\" >3.31</td>\n",
- " <td id=\"T_b1609_row5_col14\" class=\"data row5 col14\" >1.14</td>\n",
- " <td id=\"T_b1609_row5_col15\" class=\"data row5 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_b1609_row6_col0\" class=\"data row6 col0\" >94.75</td>\n",
- " <td id=\"T_b1609_row6_col1\" class=\"data row6 col1\" >2.17</td>\n",
- " <td id=\"T_b1609_row6_col2\" class=\"data row6 col2\" >94.21</td>\n",
- " <td id=\"T_b1609_row6_col3\" class=\"data row6 col3\" >2.72</td>\n",
- " <td id=\"T_b1609_row6_col4\" class=\"data row6 col4\" >92.53</td>\n",
- " <td id=\"T_b1609_row6_col5\" class=\"data row6 col5\" >1.68</td>\n",
- " <td id=\"T_b1609_row6_col6\" class=\"data row6 col6\" >97.21</td>\n",
- " <td id=\"T_b1609_row6_col7\" class=\"data row6 col7\" >2.15</td>\n",
- " <td id=\"T_b1609_row6_col8\" class=\"data row6 col8\" >1.47</td>\n",
- " <td id=\"T_b1609_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
- " <td id=\"T_b1609_row6_col10\" class=\"data row6 col10\" >53.64</td>\n",
- " <td id=\"T_b1609_row6_col11\" class=\"data row6 col11\" >4.45</td>\n",
- " <td id=\"T_b1609_row6_col12\" class=\"data row6 col12\" >36.04</td>\n",
- " <td id=\"T_b1609_row6_col13\" class=\"data row6 col13\" >3.27</td>\n",
- " <td id=\"T_b1609_row6_col14\" class=\"data row6 col14\" >0.97</td>\n",
- " <td id=\"T_b1609_row6_col15\" class=\"data row6 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_b1609_row7_col0\" class=\"data row7 col0\" >94.96</td>\n",
- " <td id=\"T_b1609_row7_col1\" class=\"data row7 col1\" >2.29</td>\n",
- " <td id=\"T_b1609_row7_col2\" class=\"data row7 col2\" >94.24</td>\n",
- " <td id=\"T_b1609_row7_col3\" class=\"data row7 col3\" >2.59</td>\n",
- " <td id=\"T_b1609_row7_col4\" class=\"data row7 col4\" >92.95</td>\n",
- " <td id=\"T_b1609_row7_col5\" class=\"data row7 col5\" >1.82</td>\n",
- " <td id=\"T_b1609_row7_col6\" class=\"data row7 col6\" >97.76</td>\n",
- " <td id=\"T_b1609_row7_col7\" class=\"data row7 col7\" >1.93</td>\n",
- " <td id=\"T_b1609_row7_col8\" class=\"data row7 col8\" >1.47</td>\n",
- " <td id=\"T_b1609_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
- " <td id=\"T_b1609_row7_col10\" class=\"data row7 col10\" >54.61</td>\n",
- " <td id=\"T_b1609_row7_col11\" class=\"data row7 col11\" >4.74</td>\n",
- " <td id=\"T_b1609_row7_col12\" class=\"data row7 col12\" >36.13</td>\n",
- " <td id=\"T_b1609_row7_col13\" class=\"data row7 col13\" >3.28</td>\n",
- " <td id=\"T_b1609_row7_col14\" class=\"data row7 col14\" >0.99</td>\n",
- " <td id=\"T_b1609_row7_col15\" class=\"data row7 col15\" >0.09</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_b1609_row8_col0\" class=\"data row8 col0\" >95.13</td>\n",
- " <td id=\"T_b1609_row8_col1\" class=\"data row8 col1\" >2.29</td>\n",
- " <td id=\"T_b1609_row8_col2\" class=\"data row8 col2\" >94.04</td>\n",
- " <td id=\"T_b1609_row8_col3\" class=\"data row8 col3\" >2.80</td>\n",
- " <td id=\"T_b1609_row8_col4\" class=\"data row8 col4\" >91.90</td>\n",
- " <td id=\"T_b1609_row8_col5\" class=\"data row8 col5\" >1.85</td>\n",
- " <td id=\"T_b1609_row8_col6\" class=\"data row8 col6\" >97.04</td>\n",
- " <td id=\"T_b1609_row8_col7\" class=\"data row8 col7\" >2.38</td>\n",
- " <td id=\"T_b1609_row8_col8\" class=\"data row8 col8\" >1.51</td>\n",
- " <td id=\"T_b1609_row8_col9\" class=\"data row8 col9\" >0.07</td>\n",
- " <td id=\"T_b1609_row8_col10\" class=\"data row8 col10\" >62.85</td>\n",
- " <td id=\"T_b1609_row8_col11\" class=\"data row8 col11\" >3.35</td>\n",
- " <td id=\"T_b1609_row8_col12\" class=\"data row8 col12\" >36.10</td>\n",
- " <td id=\"T_b1609_row8_col13\" class=\"data row8 col13\" >3.38</td>\n",
- " <td id=\"T_b1609_row8_col14\" class=\"data row8 col14\" >1.14</td>\n",
- " <td id=\"T_b1609_row8_col15\" class=\"data row8 col15\" >0.06</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_b1609_row9_col0\" class=\"data row9 col0\" >95.31</td>\n",
- " <td id=\"T_b1609_row9_col1\" class=\"data row9 col1\" >2.19</td>\n",
- " <td id=\"T_b1609_row9_col2\" class=\"data row9 col2\" >94.14</td>\n",
- " <td id=\"T_b1609_row9_col3\" class=\"data row9 col3\" >2.74</td>\n",
- " <td id=\"T_b1609_row9_col4\" class=\"data row9 col4\" >92.50</td>\n",
- " <td id=\"T_b1609_row9_col5\" class=\"data row9 col5\" >1.69</td>\n",
- " <td id=\"T_b1609_row9_col6\" class=\"data row9 col6\" >97.36</td>\n",
- " <td id=\"T_b1609_row9_col7\" class=\"data row9 col7\" >2.14</td>\n",
- " <td id=\"T_b1609_row9_col8\" class=\"data row9 col8\" >1.48</td>\n",
- " <td id=\"T_b1609_row9_col9\" class=\"data row9 col9\" >0.06</td>\n",
- " <td id=\"T_b1609_row9_col10\" class=\"data row9 col10\" >64.84</td>\n",
- " <td id=\"T_b1609_row9_col11\" class=\"data row9 col11\" >3.67</td>\n",
- " <td id=\"T_b1609_row9_col12\" class=\"data row9 col12\" >35.96</td>\n",
- " <td id=\"T_b1609_row9_col13\" class=\"data row9 col13\" >3.23</td>\n",
- " <td id=\"T_b1609_row9_col14\" class=\"data row9 col14\" >1.17</td>\n",
- " <td id=\"T_b1609_row9_col15\" class=\"data row9 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_b1609_row10_col0\" class=\"data row10 col0\" >95.39</td>\n",
- " <td id=\"T_b1609_row10_col1\" class=\"data row10 col1\" >2.21</td>\n",
- " <td id=\"T_b1609_row10_col2\" class=\"data row10 col2\" >94.25</td>\n",
- " <td id=\"T_b1609_row10_col3\" class=\"data row10 col3\" >2.62</td>\n",
- " <td id=\"T_b1609_row10_col4\" class=\"data row10 col4\" >92.53</td>\n",
- " <td id=\"T_b1609_row10_col5\" class=\"data row10 col5\" >1.77</td>\n",
- " <td id=\"T_b1609_row10_col6\" class=\"data row10 col6\" >97.30</td>\n",
- " <td id=\"T_b1609_row10_col7\" class=\"data row10 col7\" >2.04</td>\n",
- " <td id=\"T_b1609_row10_col8\" class=\"data row10 col8\" >1.46</td>\n",
- " <td id=\"T_b1609_row10_col9\" class=\"data row10 col9\" >0.07</td>\n",
- " <td id=\"T_b1609_row10_col10\" class=\"data row10 col10\" >48.54</td>\n",
- " <td id=\"T_b1609_row10_col11\" class=\"data row10 col11\" >4.17</td>\n",
- " <td id=\"T_b1609_row10_col12\" class=\"data row10 col12\" >36.01</td>\n",
- " <td id=\"T_b1609_row10_col13\" class=\"data row10 col13\" >3.29</td>\n",
- " <td id=\"T_b1609_row10_col14\" class=\"data row10 col14\" >0.88</td>\n",
- " <td id=\"T_b1609_row10_col15\" class=\"data row10 col15\" >0.08</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_b1609_row11_col0\" class=\"data row11 col0\" >94.74</td>\n",
- " <td id=\"T_b1609_row11_col1\" class=\"data row11 col1\" >2.16</td>\n",
- " <td id=\"T_b1609_row11_col2\" class=\"data row11 col2\" >94.04</td>\n",
- " <td id=\"T_b1609_row11_col3\" class=\"data row11 col3\" >2.81</td>\n",
- " <td id=\"T_b1609_row11_col4\" class=\"data row11 col4\" >93.82</td>\n",
- " <td id=\"T_b1609_row11_col5\" class=\"data row11 col5\" >1.67</td>\n",
- " <td id=\"T_b1609_row11_col6\" class=\"data row11 col6\" >98.39</td>\n",
- " <td id=\"T_b1609_row11_col7\" class=\"data row11 col7\" >1.60</td>\n",
- " <td id=\"T_b1609_row11_col8\" class=\"data row11 col8\" >1.39</td>\n",
- " <td id=\"T_b1609_row11_col9\" class=\"data row11 col9\" >0.05</td>\n",
- " <td id=\"T_b1609_row11_col10\" class=\"data row11 col10\" >37.68</td>\n",
- " <td id=\"T_b1609_row11_col11\" class=\"data row11 col11\" >3.96</td>\n",
- " <td id=\"T_b1609_row11_col12\" class=\"data row11 col12\" >35.58</td>\n",
- " <td id=\"T_b1609_row11_col13\" class=\"data row11 col13\" >3.27</td>\n",
- " <td id=\"T_b1609_row11_col14\" class=\"data row11 col14\" >0.68</td>\n",
- " <td id=\"T_b1609_row11_col15\" class=\"data row11 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_b1609_row12_col0\" class=\"data row12 col0\" >94.96</td>\n",
- " <td id=\"T_b1609_row12_col1\" class=\"data row12 col1\" >2.36</td>\n",
- " <td id=\"T_b1609_row12_col2\" class=\"data row12 col2\" >94.06</td>\n",
- " <td id=\"T_b1609_row12_col3\" class=\"data row12 col3\" >2.54</td>\n",
- " <td id=\"T_b1609_row12_col4\" class=\"data row12 col4\" >94.42</td>\n",
- " <td id=\"T_b1609_row12_col5\" class=\"data row12 col5\" >1.61</td>\n",
- " <td id=\"T_b1609_row12_col6\" class=\"data row12 col6\" >98.71</td>\n",
- " <td id=\"T_b1609_row12_col7\" class=\"data row12 col7\" >1.50</td>\n",
- " <td id=\"T_b1609_row12_col8\" class=\"data row12 col8\" >1.37</td>\n",
- " <td id=\"T_b1609_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
- " <td id=\"T_b1609_row12_col10\" class=\"data row12 col10\" >38.01</td>\n",
- " <td id=\"T_b1609_row12_col11\" class=\"data row12 col11\" >3.70</td>\n",
- " <td id=\"T_b1609_row12_col12\" class=\"data row12 col12\" >35.41</td>\n",
- " <td id=\"T_b1609_row12_col13\" class=\"data row12 col13\" >3.28</td>\n",
- " <td id=\"T_b1609_row12_col14\" class=\"data row12 col14\" >0.69</td>\n",
- " <td id=\"T_b1609_row12_col15\" class=\"data row12 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_b1609_row13_col0\" class=\"data row13 col0\" >95.03</td>\n",
- " <td id=\"T_b1609_row13_col1\" class=\"data row13 col1\" >2.25</td>\n",
- " <td id=\"T_b1609_row13_col2\" class=\"data row13 col2\" >94.13</td>\n",
- " <td id=\"T_b1609_row13_col3\" class=\"data row13 col3\" >2.64</td>\n",
- " <td id=\"T_b1609_row13_col4\" class=\"data row13 col4\" >94.47</td>\n",
- " <td id=\"T_b1609_row13_col5\" class=\"data row13 col5\" >1.62</td>\n",
- " <td id=\"T_b1609_row13_col6\" class=\"data row13 col6\" >98.67</td>\n",
- " <td id=\"T_b1609_row13_col7\" class=\"data row13 col7\" >1.78</td>\n",
- " <td id=\"T_b1609_row13_col8\" class=\"data row13 col8\" >1.36</td>\n",
- " <td id=\"T_b1609_row13_col9\" class=\"data row13 col9\" >0.05</td>\n",
- " <td id=\"T_b1609_row13_col10\" class=\"data row13 col10\" >27.59</td>\n",
- " <td id=\"T_b1609_row13_col11\" class=\"data row13 col11\" >3.80</td>\n",
- " <td id=\"T_b1609_row13_col12\" class=\"data row13 col12\" >35.35</td>\n",
- " <td id=\"T_b1609_row13_col13\" class=\"data row13 col13\" >3.34</td>\n",
- " <td id=\"T_b1609_row13_col14\" class=\"data row13 col14\" >0.50</td>\n",
- " <td id=\"T_b1609_row13_col15\" class=\"data row13 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_b1609_row14_col0\" class=\"data row14 col0\" >95.35</td>\n",
- " <td id=\"T_b1609_row14_col1\" class=\"data row14 col1\" >2.27</td>\n",
- " <td id=\"T_b1609_row14_col2\" class=\"data row14 col2\" >94.13</td>\n",
- " <td id=\"T_b1609_row14_col3\" class=\"data row14 col3\" >2.79</td>\n",
- " <td id=\"T_b1609_row14_col4\" class=\"data row14 col4\" >93.71</td>\n",
- " <td id=\"T_b1609_row14_col5\" class=\"data row14 col5\" >1.67</td>\n",
- " <td id=\"T_b1609_row14_col6\" class=\"data row14 col6\" >98.30</td>\n",
- " <td id=\"T_b1609_row14_col7\" class=\"data row14 col7\" >1.76</td>\n",
- " <td id=\"T_b1609_row14_col8\" class=\"data row14 col8\" >1.38</td>\n",
- " <td id=\"T_b1609_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
- " <td id=\"T_b1609_row14_col10\" class=\"data row14 col10\" >34.33</td>\n",
- " <td id=\"T_b1609_row14_col11\" class=\"data row14 col11\" >3.88</td>\n",
- " <td id=\"T_b1609_row14_col12\" class=\"data row14 col12\" >35.46</td>\n",
- " <td id=\"T_b1609_row14_col13\" class=\"data row14 col13\" >3.21</td>\n",
- " <td id=\"T_b1609_row14_col14\" class=\"data row14 col14\" >0.62</td>\n",
- " <td id=\"T_b1609_row14_col15\" class=\"data row14 col15\" >0.07</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_b1609_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_b1609_row15_col0\" class=\"data row15 col0\" >94.86</td>\n",
- " <td id=\"T_b1609_row15_col1\" class=\"data row15 col1\" >2.35</td>\n",
- " <td id=\"T_b1609_row15_col2\" class=\"data row15 col2\" >94.04</td>\n",
- " <td id=\"T_b1609_row15_col3\" class=\"data row15 col3\" >2.45</td>\n",
- " <td id=\"T_b1609_row15_col4\" class=\"data row15 col4\" >95.91</td>\n",
- " <td id=\"T_b1609_row15_col5\" class=\"data row15 col5\" >1.62</td>\n",
- " <td id=\"T_b1609_row15_col6\" class=\"data row15 col6\" >99.38</td>\n",
- " <td id=\"T_b1609_row15_col7\" class=\"data row15 col7\" >1.07</td>\n",
- " <td id=\"T_b1609_row15_col8\" class=\"data row15 col8\" >1.27</td>\n",
- " <td id=\"T_b1609_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
- " <td id=\"T_b1609_row15_col10\" class=\"data row15 col10\" >16.88</td>\n",
- " <td id=\"T_b1609_row15_col11\" class=\"data row15 col11\" >2.48</td>\n",
- " <td id=\"T_b1609_row15_col12\" class=\"data row15 col12\" >34.63</td>\n",
- " <td id=\"T_b1609_row15_col13\" class=\"data row15 col13\" >3.14</td>\n",
- " <td id=\"T_b1609_row15_col14\" class=\"data row15 col14\" >0.31</td>\n",
- " <td id=\"T_b1609_row15_col15\" class=\"data row15 col15\" >0.04</td>\n",
+ " <th id=\"T_9996d_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_9996d_row0_col0\" class=\"data row0 col0\" >94.86</td>\n",
+ " <td id=\"T_9996d_row0_col1\" class=\"data row0 col1\" >2.35</td>\n",
+ " <td id=\"T_9996d_row0_col2\" class=\"data row0 col2\" >94.04</td>\n",
+ " <td id=\"T_9996d_row0_col3\" class=\"data row0 col3\" >2.45</td>\n",
+ " <td id=\"T_9996d_row0_col4\" class=\"data row0 col4\" >95.91</td>\n",
+ " <td id=\"T_9996d_row0_col5\" class=\"data row0 col5\" >1.62</td>\n",
+ " <td id=\"T_9996d_row0_col6\" class=\"data row0 col6\" >99.38</td>\n",
+ " <td id=\"T_9996d_row0_col7\" class=\"data row0 col7\" >1.07</td>\n",
+ " <td id=\"T_9996d_row0_col8\" class=\"data row0 col8\" >1.27</td>\n",
+ " <td id=\"T_9996d_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
+ " <td id=\"T_9996d_row0_col10\" class=\"data row0 col10\" >88.94</td>\n",
+ " <td id=\"T_9996d_row0_col11\" class=\"data row0 col11\" >3.34</td>\n",
+ " <td id=\"T_9996d_row0_col12\" class=\"data row0 col12\" >34.63</td>\n",
+ " <td id=\"T_9996d_row0_col13\" class=\"data row0 col13\" >3.14</td>\n",
+ " <td id=\"T_9996d_row0_col14\" class=\"data row0 col14\" >1.61</td>\n",
+ " <td id=\"T_9996d_row0_col15\" class=\"data row0 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_9996d_row1_col0\" class=\"data row1 col0\" >95.18</td>\n",
+ " <td id=\"T_9996d_row1_col1\" class=\"data row1 col1\" >2.28</td>\n",
+ " <td id=\"T_9996d_row1_col2\" class=\"data row1 col2\" >94.75</td>\n",
+ " <td id=\"T_9996d_row1_col3\" class=\"data row1 col3\" >2.34</td>\n",
+ " <td id=\"T_9996d_row1_col4\" class=\"data row1 col4\" >91.92</td>\n",
+ " <td id=\"T_9996d_row1_col5\" class=\"data row1 col5\" >1.77</td>\n",
+ " <td id=\"T_9996d_row1_col6\" class=\"data row1 col6\" >96.17</td>\n",
+ " <td id=\"T_9996d_row1_col7\" class=\"data row1 col7\" >2.19</td>\n",
+ " <td id=\"T_9996d_row1_col8\" class=\"data row1 col8\" >1.48</td>\n",
+ " <td id=\"T_9996d_row1_col9\" class=\"data row1 col9\" >0.06</td>\n",
+ " <td id=\"T_9996d_row1_col10\" class=\"data row1 col10\" >84.38</td>\n",
+ " <td id=\"T_9996d_row1_col11\" class=\"data row1 col11\" >3.00</td>\n",
+ " <td id=\"T_9996d_row1_col12\" class=\"data row1 col12\" >36.35</td>\n",
+ " <td id=\"T_9996d_row1_col13\" class=\"data row1 col13\" >3.19</td>\n",
+ " <td id=\"T_9996d_row1_col14\" class=\"data row1 col14\" >1.53</td>\n",
+ " <td id=\"T_9996d_row1_col15\" class=\"data row1 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_9996d_row2_col0\" class=\"data row2 col0\" >95.39</td>\n",
+ " <td id=\"T_9996d_row2_col1\" class=\"data row2 col1\" >2.06</td>\n",
+ " <td id=\"T_9996d_row2_col2\" class=\"data row2 col2\" >94.19</td>\n",
+ " <td id=\"T_9996d_row2_col3\" class=\"data row2 col3\" >2.86</td>\n",
+ " <td id=\"T_9996d_row2_col4\" class=\"data row2 col4\" >91.86</td>\n",
+ " <td id=\"T_9996d_row2_col5\" class=\"data row2 col5\" >1.81</td>\n",
+ " <td id=\"T_9996d_row2_col6\" class=\"data row2 col6\" >96.76</td>\n",
+ " <td id=\"T_9996d_row2_col7\" class=\"data row2 col7\" >2.11</td>\n",
+ " <td id=\"T_9996d_row2_col8\" class=\"data row2 col8\" >1.46</td>\n",
+ " <td id=\"T_9996d_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_9996d_row2_col10\" class=\"data row2 col10\" >84.39</td>\n",
+ " <td id=\"T_9996d_row2_col11\" class=\"data row2 col11\" >3.19</td>\n",
+ " <td id=\"T_9996d_row2_col12\" class=\"data row2 col12\" >36.00</td>\n",
+ " <td id=\"T_9996d_row2_col13\" class=\"data row2 col13\" >3.37</td>\n",
+ " <td id=\"T_9996d_row2_col14\" class=\"data row2 col14\" >1.53</td>\n",
+ " <td id=\"T_9996d_row2_col15\" class=\"data row2 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_9996d_row3_col0\" class=\"data row3 col0\" >95.21</td>\n",
+ " <td id=\"T_9996d_row3_col1\" class=\"data row3 col1\" >2.27</td>\n",
+ " <td id=\"T_9996d_row3_col2\" class=\"data row3 col2\" >93.84</td>\n",
+ " <td id=\"T_9996d_row3_col3\" class=\"data row3 col3\" >2.64</td>\n",
+ " <td id=\"T_9996d_row3_col4\" class=\"data row3 col4\" >91.39</td>\n",
+ " <td id=\"T_9996d_row3_col5\" class=\"data row3 col5\" >1.80</td>\n",
+ " <td id=\"T_9996d_row3_col6\" class=\"data row3 col6\" >95.64</td>\n",
+ " <td id=\"T_9996d_row3_col7\" class=\"data row3 col7\" >2.74</td>\n",
+ " <td id=\"T_9996d_row3_col8\" class=\"data row3 col8\" >1.56</td>\n",
+ " <td id=\"T_9996d_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_9996d_row3_col10\" class=\"data row3 col10\" >83.33</td>\n",
+ " <td id=\"T_9996d_row3_col11\" class=\"data row3 col11\" >2.95</td>\n",
+ " <td id=\"T_9996d_row3_col12\" class=\"data row3 col12\" >36.27</td>\n",
+ " <td id=\"T_9996d_row3_col13\" class=\"data row3 col13\" >3.33</td>\n",
+ " <td id=\"T_9996d_row3_col14\" class=\"data row3 col14\" >1.51</td>\n",
+ " <td id=\"T_9996d_row3_col15\" class=\"data row3 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_9996d_row4_col0\" class=\"data row4 col0\" >95.28</td>\n",
+ " <td id=\"T_9996d_row4_col1\" class=\"data row4 col1\" >2.35</td>\n",
+ " <td id=\"T_9996d_row4_col2\" class=\"data row4 col2\" >94.09</td>\n",
+ " <td id=\"T_9996d_row4_col3\" class=\"data row4 col3\" >2.55</td>\n",
+ " <td id=\"T_9996d_row4_col4\" class=\"data row4 col4\" >91.95</td>\n",
+ " <td id=\"T_9996d_row4_col5\" class=\"data row4 col5\" >1.80</td>\n",
+ " <td id=\"T_9996d_row4_col6\" class=\"data row4 col6\" >95.65</td>\n",
+ " <td id=\"T_9996d_row4_col7\" class=\"data row4 col7\" >2.60</td>\n",
+ " <td id=\"T_9996d_row4_col8\" class=\"data row4 col8\" >1.54</td>\n",
+ " <td id=\"T_9996d_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
+ " <td id=\"T_9996d_row4_col10\" class=\"data row4 col10\" >84.13</td>\n",
+ " <td id=\"T_9996d_row4_col11\" class=\"data row4 col11\" >3.48</td>\n",
+ " <td id=\"T_9996d_row4_col12\" class=\"data row4 col12\" >36.22</td>\n",
+ " <td id=\"T_9996d_row4_col13\" class=\"data row4 col13\" >3.44</td>\n",
+ " <td id=\"T_9996d_row4_col14\" class=\"data row4 col14\" >1.52</td>\n",
+ " <td id=\"T_9996d_row4_col15\" class=\"data row4 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_9996d_row5_col0\" class=\"data row5 col0\" >95.08</td>\n",
+ " <td id=\"T_9996d_row5_col1\" class=\"data row5 col1\" >2.23</td>\n",
+ " <td id=\"T_9996d_row5_col2\" class=\"data row5 col2\" >94.72</td>\n",
+ " <td id=\"T_9996d_row5_col3\" class=\"data row5 col3\" >2.77</td>\n",
+ " <td id=\"T_9996d_row5_col4\" class=\"data row5 col4\" >92.58</td>\n",
+ " <td id=\"T_9996d_row5_col5\" class=\"data row5 col5\" >1.84</td>\n",
+ " <td id=\"T_9996d_row5_col6\" class=\"data row5 col6\" >97.30</td>\n",
+ " <td id=\"T_9996d_row5_col7\" class=\"data row5 col7\" >1.81</td>\n",
+ " <td id=\"T_9996d_row5_col8\" class=\"data row5 col8\" >1.45</td>\n",
+ " <td id=\"T_9996d_row5_col9\" class=\"data row5 col9\" >0.07</td>\n",
+ " <td id=\"T_9996d_row5_col10\" class=\"data row5 col10\" >63.20</td>\n",
+ " <td id=\"T_9996d_row5_col11\" class=\"data row5 col11\" >3.87</td>\n",
+ " <td id=\"T_9996d_row5_col12\" class=\"data row5 col12\" >36.02</td>\n",
+ " <td id=\"T_9996d_row5_col13\" class=\"data row5 col13\" >3.31</td>\n",
+ " <td id=\"T_9996d_row5_col14\" class=\"data row5 col14\" >1.14</td>\n",
+ " <td id=\"T_9996d_row5_col15\" class=\"data row5 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_9996d_row6_col0\" class=\"data row6 col0\" >94.75</td>\n",
+ " <td id=\"T_9996d_row6_col1\" class=\"data row6 col1\" >2.17</td>\n",
+ " <td id=\"T_9996d_row6_col2\" class=\"data row6 col2\" >94.21</td>\n",
+ " <td id=\"T_9996d_row6_col3\" class=\"data row6 col3\" >2.72</td>\n",
+ " <td id=\"T_9996d_row6_col4\" class=\"data row6 col4\" >92.53</td>\n",
+ " <td id=\"T_9996d_row6_col5\" class=\"data row6 col5\" >1.68</td>\n",
+ " <td id=\"T_9996d_row6_col6\" class=\"data row6 col6\" >97.21</td>\n",
+ " <td id=\"T_9996d_row6_col7\" class=\"data row6 col7\" >2.15</td>\n",
+ " <td id=\"T_9996d_row6_col8\" class=\"data row6 col8\" >1.47</td>\n",
+ " <td id=\"T_9996d_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
+ " <td id=\"T_9996d_row6_col10\" class=\"data row6 col10\" >53.64</td>\n",
+ " <td id=\"T_9996d_row6_col11\" class=\"data row6 col11\" >4.45</td>\n",
+ " <td id=\"T_9996d_row6_col12\" class=\"data row6 col12\" >36.04</td>\n",
+ " <td id=\"T_9996d_row6_col13\" class=\"data row6 col13\" >3.27</td>\n",
+ " <td id=\"T_9996d_row6_col14\" class=\"data row6 col14\" >0.97</td>\n",
+ " <td id=\"T_9996d_row6_col15\" class=\"data row6 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_9996d_row7_col0\" class=\"data row7 col0\" >94.96</td>\n",
+ " <td id=\"T_9996d_row7_col1\" class=\"data row7 col1\" >2.29</td>\n",
+ " <td id=\"T_9996d_row7_col2\" class=\"data row7 col2\" >94.24</td>\n",
+ " <td id=\"T_9996d_row7_col3\" class=\"data row7 col3\" >2.59</td>\n",
+ " <td id=\"T_9996d_row7_col4\" class=\"data row7 col4\" >92.95</td>\n",
+ " <td id=\"T_9996d_row7_col5\" class=\"data row7 col5\" >1.82</td>\n",
+ " <td id=\"T_9996d_row7_col6\" class=\"data row7 col6\" >97.76</td>\n",
+ " <td id=\"T_9996d_row7_col7\" class=\"data row7 col7\" >1.93</td>\n",
+ " <td id=\"T_9996d_row7_col8\" class=\"data row7 col8\" >1.47</td>\n",
+ " <td id=\"T_9996d_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
+ " <td id=\"T_9996d_row7_col10\" class=\"data row7 col10\" >54.61</td>\n",
+ " <td id=\"T_9996d_row7_col11\" class=\"data row7 col11\" >4.74</td>\n",
+ " <td id=\"T_9996d_row7_col12\" class=\"data row7 col12\" >36.13</td>\n",
+ " <td id=\"T_9996d_row7_col13\" class=\"data row7 col13\" >3.28</td>\n",
+ " <td id=\"T_9996d_row7_col14\" class=\"data row7 col14\" >0.99</td>\n",
+ " <td id=\"T_9996d_row7_col15\" class=\"data row7 col15\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_9996d_row8_col0\" class=\"data row8 col0\" >95.13</td>\n",
+ " <td id=\"T_9996d_row8_col1\" class=\"data row8 col1\" >2.29</td>\n",
+ " <td id=\"T_9996d_row8_col2\" class=\"data row8 col2\" >94.04</td>\n",
+ " <td id=\"T_9996d_row8_col3\" class=\"data row8 col3\" >2.80</td>\n",
+ " <td id=\"T_9996d_row8_col4\" class=\"data row8 col4\" >91.90</td>\n",
+ " <td id=\"T_9996d_row8_col5\" class=\"data row8 col5\" >1.85</td>\n",
+ " <td id=\"T_9996d_row8_col6\" class=\"data row8 col6\" >97.04</td>\n",
+ " <td id=\"T_9996d_row8_col7\" class=\"data row8 col7\" >2.38</td>\n",
+ " <td id=\"T_9996d_row8_col8\" class=\"data row8 col8\" >1.51</td>\n",
+ " <td id=\"T_9996d_row8_col9\" class=\"data row8 col9\" >0.07</td>\n",
+ " <td id=\"T_9996d_row8_col10\" class=\"data row8 col10\" >62.85</td>\n",
+ " <td id=\"T_9996d_row8_col11\" class=\"data row8 col11\" >3.35</td>\n",
+ " <td id=\"T_9996d_row8_col12\" class=\"data row8 col12\" >36.10</td>\n",
+ " <td id=\"T_9996d_row8_col13\" class=\"data row8 col13\" >3.38</td>\n",
+ " <td id=\"T_9996d_row8_col14\" class=\"data row8 col14\" >1.14</td>\n",
+ " <td id=\"T_9996d_row8_col15\" class=\"data row8 col15\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_9996d_row9_col0\" class=\"data row9 col0\" >95.31</td>\n",
+ " <td id=\"T_9996d_row9_col1\" class=\"data row9 col1\" >2.19</td>\n",
+ " <td id=\"T_9996d_row9_col2\" class=\"data row9 col2\" >94.14</td>\n",
+ " <td id=\"T_9996d_row9_col3\" class=\"data row9 col3\" >2.74</td>\n",
+ " <td id=\"T_9996d_row9_col4\" class=\"data row9 col4\" >92.50</td>\n",
+ " <td id=\"T_9996d_row9_col5\" class=\"data row9 col5\" >1.69</td>\n",
+ " <td id=\"T_9996d_row9_col6\" class=\"data row9 col6\" >97.36</td>\n",
+ " <td id=\"T_9996d_row9_col7\" class=\"data row9 col7\" >2.14</td>\n",
+ " <td id=\"T_9996d_row9_col8\" class=\"data row9 col8\" >1.48</td>\n",
+ " <td id=\"T_9996d_row9_col9\" class=\"data row9 col9\" >0.06</td>\n",
+ " <td id=\"T_9996d_row9_col10\" class=\"data row9 col10\" >64.84</td>\n",
+ " <td id=\"T_9996d_row9_col11\" class=\"data row9 col11\" >3.67</td>\n",
+ " <td id=\"T_9996d_row9_col12\" class=\"data row9 col12\" >35.96</td>\n",
+ " <td id=\"T_9996d_row9_col13\" class=\"data row9 col13\" >3.23</td>\n",
+ " <td id=\"T_9996d_row9_col14\" class=\"data row9 col14\" >1.17</td>\n",
+ " <td id=\"T_9996d_row9_col15\" class=\"data row9 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_9996d_row10_col0\" class=\"data row10 col0\" >95.39</td>\n",
+ " <td id=\"T_9996d_row10_col1\" class=\"data row10 col1\" >2.21</td>\n",
+ " <td id=\"T_9996d_row10_col2\" class=\"data row10 col2\" >94.25</td>\n",
+ " <td id=\"T_9996d_row10_col3\" class=\"data row10 col3\" >2.62</td>\n",
+ " <td id=\"T_9996d_row10_col4\" class=\"data row10 col4\" >92.53</td>\n",
+ " <td id=\"T_9996d_row10_col5\" class=\"data row10 col5\" >1.77</td>\n",
+ " <td id=\"T_9996d_row10_col6\" class=\"data row10 col6\" >97.30</td>\n",
+ " <td id=\"T_9996d_row10_col7\" class=\"data row10 col7\" >2.04</td>\n",
+ " <td id=\"T_9996d_row10_col8\" class=\"data row10 col8\" >1.46</td>\n",
+ " <td id=\"T_9996d_row10_col9\" class=\"data row10 col9\" >0.07</td>\n",
+ " <td id=\"T_9996d_row10_col10\" class=\"data row10 col10\" >48.54</td>\n",
+ " <td id=\"T_9996d_row10_col11\" class=\"data row10 col11\" >4.17</td>\n",
+ " <td id=\"T_9996d_row10_col12\" class=\"data row10 col12\" >36.01</td>\n",
+ " <td id=\"T_9996d_row10_col13\" class=\"data row10 col13\" >3.29</td>\n",
+ " <td id=\"T_9996d_row10_col14\" class=\"data row10 col14\" >0.88</td>\n",
+ " <td id=\"T_9996d_row10_col15\" class=\"data row10 col15\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_9996d_row11_col0\" class=\"data row11 col0\" >94.74</td>\n",
+ " <td id=\"T_9996d_row11_col1\" class=\"data row11 col1\" >2.16</td>\n",
+ " <td id=\"T_9996d_row11_col2\" class=\"data row11 col2\" >94.04</td>\n",
+ " <td id=\"T_9996d_row11_col3\" class=\"data row11 col3\" >2.81</td>\n",
+ " <td id=\"T_9996d_row11_col4\" class=\"data row11 col4\" >93.82</td>\n",
+ " <td id=\"T_9996d_row11_col5\" class=\"data row11 col5\" >1.67</td>\n",
+ " <td id=\"T_9996d_row11_col6\" class=\"data row11 col6\" >98.39</td>\n",
+ " <td id=\"T_9996d_row11_col7\" class=\"data row11 col7\" >1.60</td>\n",
+ " <td id=\"T_9996d_row11_col8\" class=\"data row11 col8\" >1.39</td>\n",
+ " <td id=\"T_9996d_row11_col9\" class=\"data row11 col9\" >0.05</td>\n",
+ " <td id=\"T_9996d_row11_col10\" class=\"data row11 col10\" >37.68</td>\n",
+ " <td id=\"T_9996d_row11_col11\" class=\"data row11 col11\" >3.96</td>\n",
+ " <td id=\"T_9996d_row11_col12\" class=\"data row11 col12\" >35.58</td>\n",
+ " <td id=\"T_9996d_row11_col13\" class=\"data row11 col13\" >3.27</td>\n",
+ " <td id=\"T_9996d_row11_col14\" class=\"data row11 col14\" >0.68</td>\n",
+ " <td id=\"T_9996d_row11_col15\" class=\"data row11 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_9996d_row12_col0\" class=\"data row12 col0\" >94.96</td>\n",
+ " <td id=\"T_9996d_row12_col1\" class=\"data row12 col1\" >2.36</td>\n",
+ " <td id=\"T_9996d_row12_col2\" class=\"data row12 col2\" >94.06</td>\n",
+ " <td id=\"T_9996d_row12_col3\" class=\"data row12 col3\" >2.54</td>\n",
+ " <td id=\"T_9996d_row12_col4\" class=\"data row12 col4\" >94.42</td>\n",
+ " <td id=\"T_9996d_row12_col5\" class=\"data row12 col5\" >1.61</td>\n",
+ " <td id=\"T_9996d_row12_col6\" class=\"data row12 col6\" >98.71</td>\n",
+ " <td id=\"T_9996d_row12_col7\" class=\"data row12 col7\" >1.50</td>\n",
+ " <td id=\"T_9996d_row12_col8\" class=\"data row12 col8\" >1.37</td>\n",
+ " <td id=\"T_9996d_row12_col9\" class=\"data row12 col9\" >0.06</td>\n",
+ " <td id=\"T_9996d_row12_col10\" class=\"data row12 col10\" >38.01</td>\n",
+ " <td id=\"T_9996d_row12_col11\" class=\"data row12 col11\" >3.70</td>\n",
+ " <td id=\"T_9996d_row12_col12\" class=\"data row12 col12\" >35.41</td>\n",
+ " <td id=\"T_9996d_row12_col13\" class=\"data row12 col13\" >3.28</td>\n",
+ " <td id=\"T_9996d_row12_col14\" class=\"data row12 col14\" >0.69</td>\n",
+ " <td id=\"T_9996d_row12_col15\" class=\"data row12 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_9996d_row13_col0\" class=\"data row13 col0\" >95.03</td>\n",
+ " <td id=\"T_9996d_row13_col1\" class=\"data row13 col1\" >2.25</td>\n",
+ " <td id=\"T_9996d_row13_col2\" class=\"data row13 col2\" >94.13</td>\n",
+ " <td id=\"T_9996d_row13_col3\" class=\"data row13 col3\" >2.64</td>\n",
+ " <td id=\"T_9996d_row13_col4\" class=\"data row13 col4\" >94.47</td>\n",
+ " <td id=\"T_9996d_row13_col5\" class=\"data row13 col5\" >1.62</td>\n",
+ " <td id=\"T_9996d_row13_col6\" class=\"data row13 col6\" >98.67</td>\n",
+ " <td id=\"T_9996d_row13_col7\" class=\"data row13 col7\" >1.78</td>\n",
+ " <td id=\"T_9996d_row13_col8\" class=\"data row13 col8\" >1.36</td>\n",
+ " <td id=\"T_9996d_row13_col9\" class=\"data row13 col9\" >0.05</td>\n",
+ " <td id=\"T_9996d_row13_col10\" class=\"data row13 col10\" >27.59</td>\n",
+ " <td id=\"T_9996d_row13_col11\" class=\"data row13 col11\" >3.80</td>\n",
+ " <td id=\"T_9996d_row13_col12\" class=\"data row13 col12\" >35.35</td>\n",
+ " <td id=\"T_9996d_row13_col13\" class=\"data row13 col13\" >3.34</td>\n",
+ " <td id=\"T_9996d_row13_col14\" class=\"data row13 col14\" >0.50</td>\n",
+ " <td id=\"T_9996d_row13_col15\" class=\"data row13 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_9996d_row14_col0\" class=\"data row14 col0\" >95.35</td>\n",
+ " <td id=\"T_9996d_row14_col1\" class=\"data row14 col1\" >2.27</td>\n",
+ " <td id=\"T_9996d_row14_col2\" class=\"data row14 col2\" >94.13</td>\n",
+ " <td id=\"T_9996d_row14_col3\" class=\"data row14 col3\" >2.79</td>\n",
+ " <td id=\"T_9996d_row14_col4\" class=\"data row14 col4\" >93.71</td>\n",
+ " <td id=\"T_9996d_row14_col5\" class=\"data row14 col5\" >1.67</td>\n",
+ " <td id=\"T_9996d_row14_col6\" class=\"data row14 col6\" >98.30</td>\n",
+ " <td id=\"T_9996d_row14_col7\" class=\"data row14 col7\" >1.76</td>\n",
+ " <td id=\"T_9996d_row14_col8\" class=\"data row14 col8\" >1.38</td>\n",
+ " <td id=\"T_9996d_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
+ " <td id=\"T_9996d_row14_col10\" class=\"data row14 col10\" >34.33</td>\n",
+ " <td id=\"T_9996d_row14_col11\" class=\"data row14 col11\" >3.88</td>\n",
+ " <td id=\"T_9996d_row14_col12\" class=\"data row14 col12\" >35.46</td>\n",
+ " <td id=\"T_9996d_row14_col13\" class=\"data row14 col13\" >3.21</td>\n",
+ " <td id=\"T_9996d_row14_col14\" class=\"data row14 col14\" >0.62</td>\n",
+ " <td id=\"T_9996d_row14_col15\" class=\"data row14 col15\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_9996d_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_9996d_row15_col0\" class=\"data row15 col0\" >94.86</td>\n",
+ " <td id=\"T_9996d_row15_col1\" class=\"data row15 col1\" >2.35</td>\n",
+ " <td id=\"T_9996d_row15_col2\" class=\"data row15 col2\" >94.04</td>\n",
+ " <td id=\"T_9996d_row15_col3\" class=\"data row15 col3\" >2.45</td>\n",
+ " <td id=\"T_9996d_row15_col4\" class=\"data row15 col4\" >95.91</td>\n",
+ " <td id=\"T_9996d_row15_col5\" class=\"data row15 col5\" >1.62</td>\n",
+ " <td id=\"T_9996d_row15_col6\" class=\"data row15 col6\" >99.38</td>\n",
+ " <td id=\"T_9996d_row15_col7\" class=\"data row15 col7\" >1.07</td>\n",
+ " <td id=\"T_9996d_row15_col8\" class=\"data row15 col8\" >1.27</td>\n",
+ " <td id=\"T_9996d_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
+ " <td id=\"T_9996d_row15_col10\" class=\"data row15 col10\" >16.88</td>\n",
+ " <td id=\"T_9996d_row15_col11\" class=\"data row15 col11\" >2.48</td>\n",
+ " <td id=\"T_9996d_row15_col12\" class=\"data row15 col12\" >34.63</td>\n",
+ " <td id=\"T_9996d_row15_col13\" class=\"data row15 col13\" >3.14</td>\n",
+ " <td id=\"T_9996d_row15_col14\" class=\"data row15 col14\" >0.31</td>\n",
+ " <td id=\"T_9996d_row15_col15\" class=\"data row15 col15\" >0.04</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7c31dafc11d0>"
+ "<pandas.io.formats.style.Styler at 0x7150dff6be10>"
]
},
"metadata": {},
@@ -805,367 +799,367 @@
"data": {
"text/html": [
"<style type=\"text/css\">\n",
- "#T_f92a8 td {\n",
+ "#T_2e9e1 td {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f92a8 th {\n",
+ "#T_2e9e1 th {\n",
" border: 1px solid grey !important;\n",
" text-align: center;\n",
"}\n",
- "#T_f92a8_row0_col4, #T_f92a8_row0_col6, #T_f92a8_row0_col8, #T_f92a8_row0_col10, #T_f92a8_row0_col12, #T_f92a8_row0_col14, #T_f92a8_row5_col2, #T_f92a8_row7_col0, #T_f92a8_row9_col2, #T_f92a8_row15_col4, #T_f92a8_row15_col6, #T_f92a8_row15_col8, #T_f92a8_row15_col12 {\n",
+ "#T_2e9e1_row0_col4, #T_2e9e1_row0_col6, #T_2e9e1_row0_col8, #T_2e9e1_row0_col10, #T_2e9e1_row0_col12, #T_2e9e1_row0_col14, #T_2e9e1_row5_col2, #T_2e9e1_row7_col0, #T_2e9e1_row9_col2, #T_2e9e1_row15_col4, #T_2e9e1_row15_col6, #T_2e9e1_row15_col8, #T_2e9e1_row15_col12 {\n",
" background-color: #34FF34;\n",
"}\n",
"</style>\n",
- "<table id=\"T_f92a8\">\n",
+ "<table id=\"T_2e9e1\">\n",
" <thead>\n",
" <tr>\n",
" <th class=\"blank level0\" > </th>\n",
- " <th id=\"T_f92a8_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
- " <th id=\"T_f92a8_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
- " <th id=\"T_f92a8_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
+ " <th id=\"T_2e9e1_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bid</th>\n",
+ " <th id=\"T_2e9e1_level0_col4\" class=\"col_heading level0 col4\" colspan=\"6\">QoS</th>\n",
+ " <th id=\"T_2e9e1_level0_col10\" class=\"col_heading level0 col10\" colspan=\"6\">Money/Energy</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level1\" > </th>\n",
- " <th id=\"T_f92a8_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
- " <th id=\"T_f92a8_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
- " <th id=\"T_f92a8_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
- " <th id=\"T_f92a8_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
- " <th id=\"T_f92a8_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
- " <th id=\"T_f92a8_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
- " <th id=\"T_f92a8_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
- " <th id=\"T_f92a8_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
+ " <th id=\"T_2e9e1_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Tasks</th>\n",
+ " <th id=\"T_2e9e1_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " <th id=\"T_2e9e1_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_2e9e1_level1_col6\" class=\"col_heading level1 col6\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_2e9e1_level1_col8\" class=\"col_heading level1 col8\" colspan=\"2\">Slowdown</th>\n",
+ " <th id=\"T_2e9e1_level1_col10\" class=\"col_heading level1 col10\" colspan=\"2\">Benefits</th>\n",
+ " <th id=\"T_2e9e1_level1_col12\" class=\"col_heading level1 col12\" colspan=\"2\">Energy wasted</th>\n",
+ " <th id=\"T_2e9e1_level1_col14\" class=\"col_heading level1 col14\" colspan=\"2\">Ratio</th>\n",
" </tr>\n",
" <tr>\n",
" <th class=\"blank level2\" > </th>\n",
- " <th id=\"T_f92a8_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
- " <th id=\"T_f92a8_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
- " <th id=\"T_f92a8_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col5\" class=\"col_heading level2 col5\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col6\" class=\"col_heading level2 col6\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col7\" class=\"col_heading level2 col7\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col8\" class=\"col_heading level2 col8\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col9\" class=\"col_heading level2 col9\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col10\" class=\"col_heading level2 col10\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col11\" class=\"col_heading level2 col11\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col12\" class=\"col_heading level2 col12\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col13\" class=\"col_heading level2 col13\" >std</th>\n",
+ " <th id=\"T_2e9e1_level2_col14\" class=\"col_heading level2 col14\" >Value</th>\n",
+ " <th id=\"T_2e9e1_level2_col15\" class=\"col_heading level2 col15\" >std</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
- " <th id=\"T_f92a8_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
- " <td id=\"T_f92a8_row0_col0\" class=\"data row0 col0\" >98.46</td>\n",
- " <td id=\"T_f92a8_row0_col1\" class=\"data row0 col1\" >1.45</td>\n",
- " <td id=\"T_f92a8_row0_col2\" class=\"data row0 col2\" >98.50</td>\n",
- " <td id=\"T_f92a8_row0_col3\" class=\"data row0 col3\" >1.26</td>\n",
- " <td id=\"T_f92a8_row0_col4\" class=\"data row0 col4\" >98.91</td>\n",
- " <td id=\"T_f92a8_row0_col5\" class=\"data row0 col5\" >0.95</td>\n",
- " <td id=\"T_f92a8_row0_col6\" class=\"data row0 col6\" >99.89</td>\n",
- " <td id=\"T_f92a8_row0_col7\" class=\"data row0 col7\" >0.46</td>\n",
- " <td id=\"T_f92a8_row0_col8\" class=\"data row0 col8\" >1.12</td>\n",
- " <td id=\"T_f92a8_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
- " <td id=\"T_f92a8_row0_col10\" class=\"data row0 col10\" >47.02</td>\n",
- " <td id=\"T_f92a8_row0_col11\" class=\"data row0 col11\" >1.74</td>\n",
- " <td id=\"T_f92a8_row0_col12\" class=\"data row0 col12\" >64.20</td>\n",
- " <td id=\"T_f92a8_row0_col13\" class=\"data row0 col13\" >2.95</td>\n",
- " <td id=\"T_f92a8_row0_col14\" class=\"data row0 col14\" >0.85</td>\n",
- " <td id=\"T_f92a8_row0_col15\" class=\"data row0 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
- " <td id=\"T_f92a8_row1_col0\" class=\"data row1 col0\" >98.50</td>\n",
- " <td id=\"T_f92a8_row1_col1\" class=\"data row1 col1\" >1.38</td>\n",
- " <td id=\"T_f92a8_row1_col2\" class=\"data row1 col2\" >98.75</td>\n",
- " <td id=\"T_f92a8_row1_col3\" class=\"data row1 col3\" >1.26</td>\n",
- " <td id=\"T_f92a8_row1_col4\" class=\"data row1 col4\" >94.64</td>\n",
- " <td id=\"T_f92a8_row1_col5\" class=\"data row1 col5\" >1.70</td>\n",
- " <td id=\"T_f92a8_row1_col6\" class=\"data row1 col6\" >97.79</td>\n",
- " <td id=\"T_f92a8_row1_col7\" class=\"data row1 col7\" >1.94</td>\n",
- " <td id=\"T_f92a8_row1_col8\" class=\"data row1 col8\" >1.31</td>\n",
- " <td id=\"T_f92a8_row1_col9\" class=\"data row1 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row1_col10\" class=\"data row1 col10\" >44.63</td>\n",
- " <td id=\"T_f92a8_row1_col11\" class=\"data row1 col11\" >1.76</td>\n",
- " <td id=\"T_f92a8_row1_col12\" class=\"data row1 col12\" >65.24</td>\n",
- " <td id=\"T_f92a8_row1_col13\" class=\"data row1 col13\" >2.92</td>\n",
- " <td id=\"T_f92a8_row1_col14\" class=\"data row1 col14\" >0.81</td>\n",
- " <td id=\"T_f92a8_row1_col15\" class=\"data row1 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
- " <td id=\"T_f92a8_row2_col0\" class=\"data row2 col0\" >98.45</td>\n",
- " <td id=\"T_f92a8_row2_col1\" class=\"data row2 col1\" >1.40</td>\n",
- " <td id=\"T_f92a8_row2_col2\" class=\"data row2 col2\" >98.62</td>\n",
- " <td id=\"T_f92a8_row2_col3\" class=\"data row2 col3\" >1.40</td>\n",
- " <td id=\"T_f92a8_row2_col4\" class=\"data row2 col4\" >94.73</td>\n",
- " <td id=\"T_f92a8_row2_col5\" class=\"data row2 col5\" >1.74</td>\n",
- " <td id=\"T_f92a8_row2_col6\" class=\"data row2 col6\" >97.90</td>\n",
- " <td id=\"T_f92a8_row2_col7\" class=\"data row2 col7\" >2.62</td>\n",
- " <td id=\"T_f92a8_row2_col8\" class=\"data row2 col8\" >1.27</td>\n",
- " <td id=\"T_f92a8_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row2_col10\" class=\"data row2 col10\" >44.68</td>\n",
- " <td id=\"T_f92a8_row2_col11\" class=\"data row2 col11\" >1.78</td>\n",
- " <td id=\"T_f92a8_row2_col12\" class=\"data row2 col12\" >65.11</td>\n",
- " <td id=\"T_f92a8_row2_col13\" class=\"data row2 col13\" >2.96</td>\n",
- " <td id=\"T_f92a8_row2_col14\" class=\"data row2 col14\" >0.81</td>\n",
- " <td id=\"T_f92a8_row2_col15\" class=\"data row2 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
- " <td id=\"T_f92a8_row3_col0\" class=\"data row3 col0\" >98.49</td>\n",
- " <td id=\"T_f92a8_row3_col1\" class=\"data row3 col1\" >1.50</td>\n",
- " <td id=\"T_f92a8_row3_col2\" class=\"data row3 col2\" >98.64</td>\n",
- " <td id=\"T_f92a8_row3_col3\" class=\"data row3 col3\" >1.28</td>\n",
- " <td id=\"T_f92a8_row3_col4\" class=\"data row3 col4\" >93.99</td>\n",
- " <td id=\"T_f92a8_row3_col5\" class=\"data row3 col5\" >1.69</td>\n",
- " <td id=\"T_f92a8_row3_col6\" class=\"data row3 col6\" >97.67</td>\n",
- " <td id=\"T_f92a8_row3_col7\" class=\"data row3 col7\" >2.54</td>\n",
- " <td id=\"T_f92a8_row3_col8\" class=\"data row3 col8\" >1.35</td>\n",
- " <td id=\"T_f92a8_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row3_col10\" class=\"data row3 col10\" >44.30</td>\n",
- " <td id=\"T_f92a8_row3_col11\" class=\"data row3 col11\" >1.60</td>\n",
- " <td id=\"T_f92a8_row3_col12\" class=\"data row3 col12\" >65.30</td>\n",
- " <td id=\"T_f92a8_row3_col13\" class=\"data row3 col13\" >3.01</td>\n",
- " <td id=\"T_f92a8_row3_col14\" class=\"data row3 col14\" >0.80</td>\n",
- " <td id=\"T_f92a8_row3_col15\" class=\"data row3 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
- " <td id=\"T_f92a8_row4_col0\" class=\"data row4 col0\" >98.55</td>\n",
- " <td id=\"T_f92a8_row4_col1\" class=\"data row4 col1\" >1.39</td>\n",
- " <td id=\"T_f92a8_row4_col2\" class=\"data row4 col2\" >98.72</td>\n",
- " <td id=\"T_f92a8_row4_col3\" class=\"data row4 col3\" >1.26</td>\n",
- " <td id=\"T_f92a8_row4_col4\" class=\"data row4 col4\" >94.59</td>\n",
- " <td id=\"T_f92a8_row4_col5\" class=\"data row4 col5\" >1.80</td>\n",
- " <td id=\"T_f92a8_row4_col6\" class=\"data row4 col6\" >97.44</td>\n",
- " <td id=\"T_f92a8_row4_col7\" class=\"data row4 col7\" >3.01</td>\n",
- " <td id=\"T_f92a8_row4_col8\" class=\"data row4 col8\" >1.33</td>\n",
- " <td id=\"T_f92a8_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row4_col10\" class=\"data row4 col10\" >44.72</td>\n",
- " <td id=\"T_f92a8_row4_col11\" class=\"data row4 col11\" >1.76</td>\n",
- " <td id=\"T_f92a8_row4_col12\" class=\"data row4 col12\" >65.32</td>\n",
- " <td id=\"T_f92a8_row4_col13\" class=\"data row4 col13\" >2.98</td>\n",
- " <td id=\"T_f92a8_row4_col14\" class=\"data row4 col14\" >0.81</td>\n",
- " <td id=\"T_f92a8_row4_col15\" class=\"data row4 col15\" >0.03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
- " <td id=\"T_f92a8_row5_col0\" class=\"data row5 col0\" >98.51</td>\n",
- " <td id=\"T_f92a8_row5_col1\" class=\"data row5 col1\" >1.43</td>\n",
- " <td id=\"T_f92a8_row5_col2\" class=\"data row5 col2\" >98.83</td>\n",
- " <td id=\"T_f92a8_row5_col3\" class=\"data row5 col3\" >1.13</td>\n",
- " <td id=\"T_f92a8_row5_col4\" class=\"data row5 col4\" >95.71</td>\n",
- " <td id=\"T_f92a8_row5_col5\" class=\"data row5 col5\" >1.82</td>\n",
- " <td id=\"T_f92a8_row5_col6\" class=\"data row5 col6\" >98.67</td>\n",
- " <td id=\"T_f92a8_row5_col7\" class=\"data row5 col7\" >1.42</td>\n",
- " <td id=\"T_f92a8_row5_col8\" class=\"data row5 col8\" >1.26</td>\n",
- " <td id=\"T_f92a8_row5_col9\" class=\"data row5 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row5_col10\" class=\"data row5 col10\" >30.01</td>\n",
- " <td id=\"T_f92a8_row5_col11\" class=\"data row5 col11\" >2.36</td>\n",
- " <td id=\"T_f92a8_row5_col12\" class=\"data row5 col12\" >64.93</td>\n",
- " <td id=\"T_f92a8_row5_col13\" class=\"data row5 col13\" >2.97</td>\n",
- " <td id=\"T_f92a8_row5_col14\" class=\"data row5 col14\" >0.54</td>\n",
- " <td id=\"T_f92a8_row5_col15\" class=\"data row5 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
- " <td id=\"T_f92a8_row6_col0\" class=\"data row6 col0\" >98.39</td>\n",
- " <td id=\"T_f92a8_row6_col1\" class=\"data row6 col1\" >1.55</td>\n",
- " <td id=\"T_f92a8_row6_col2\" class=\"data row6 col2\" >98.53</td>\n",
- " <td id=\"T_f92a8_row6_col3\" class=\"data row6 col3\" >1.47</td>\n",
- " <td id=\"T_f92a8_row6_col4\" class=\"data row6 col4\" >95.96</td>\n",
- " <td id=\"T_f92a8_row6_col5\" class=\"data row6 col5\" >1.56</td>\n",
- " <td id=\"T_f92a8_row6_col6\" class=\"data row6 col6\" >99.33</td>\n",
- " <td id=\"T_f92a8_row6_col7\" class=\"data row6 col7\" >1.00</td>\n",
- " <td id=\"T_f92a8_row6_col8\" class=\"data row6 col8\" >1.24</td>\n",
- " <td id=\"T_f92a8_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
- " <td id=\"T_f92a8_row6_col10\" class=\"data row6 col10\" >21.73</td>\n",
- " <td id=\"T_f92a8_row6_col11\" class=\"data row6 col11\" >2.43</td>\n",
- " <td id=\"T_f92a8_row6_col12\" class=\"data row6 col12\" >64.91</td>\n",
- " <td id=\"T_f92a8_row6_col13\" class=\"data row6 col13\" >2.97</td>\n",
- " <td id=\"T_f92a8_row6_col14\" class=\"data row6 col14\" >0.39</td>\n",
- " <td id=\"T_f92a8_row6_col15\" class=\"data row6 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
- " <td id=\"T_f92a8_row7_col0\" class=\"data row7 col0\" >98.59</td>\n",
- " <td id=\"T_f92a8_row7_col1\" class=\"data row7 col1\" >1.33</td>\n",
- " <td id=\"T_f92a8_row7_col2\" class=\"data row7 col2\" >98.65</td>\n",
- " <td id=\"T_f92a8_row7_col3\" class=\"data row7 col3\" >1.28</td>\n",
- " <td id=\"T_f92a8_row7_col4\" class=\"data row7 col4\" >96.54</td>\n",
- " <td id=\"T_f92a8_row7_col5\" class=\"data row7 col5\" >1.44</td>\n",
- " <td id=\"T_f92a8_row7_col6\" class=\"data row7 col6\" >99.45</td>\n",
- " <td id=\"T_f92a8_row7_col7\" class=\"data row7 col7\" >1.20</td>\n",
- " <td id=\"T_f92a8_row7_col8\" class=\"data row7 col8\" >1.22</td>\n",
- " <td id=\"T_f92a8_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
- " <td id=\"T_f92a8_row7_col10\" class=\"data row7 col10\" >22.49</td>\n",
- " <td id=\"T_f92a8_row7_col11\" class=\"data row7 col11\" >2.81</td>\n",
- " <td id=\"T_f92a8_row7_col12\" class=\"data row7 col12\" >64.85</td>\n",
- " <td id=\"T_f92a8_row7_col13\" class=\"data row7 col13\" >2.91</td>\n",
- " <td id=\"T_f92a8_row7_col14\" class=\"data row7 col14\" >0.41</td>\n",
- " <td id=\"T_f92a8_row7_col15\" class=\"data row7 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
- " <td id=\"T_f92a8_row8_col0\" class=\"data row8 col0\" >98.46</td>\n",
- " <td id=\"T_f92a8_row8_col1\" class=\"data row8 col1\" >1.58</td>\n",
- " <td id=\"T_f92a8_row8_col2\" class=\"data row8 col2\" >98.66</td>\n",
- " <td id=\"T_f92a8_row8_col3\" class=\"data row8 col3\" >1.33</td>\n",
- " <td id=\"T_f92a8_row8_col4\" class=\"data row8 col4\" >95.16</td>\n",
- " <td id=\"T_f92a8_row8_col5\" class=\"data row8 col5\" >1.60</td>\n",
- " <td id=\"T_f92a8_row8_col6\" class=\"data row8 col6\" >98.70</td>\n",
- " <td id=\"T_f92a8_row8_col7\" class=\"data row8 col7\" >1.72</td>\n",
- " <td id=\"T_f92a8_row8_col8\" class=\"data row8 col8\" >1.30</td>\n",
- " <td id=\"T_f92a8_row8_col9\" class=\"data row8 col9\" >0.08</td>\n",
- " <td id=\"T_f92a8_row8_col10\" class=\"data row8 col10\" >29.78</td>\n",
- " <td id=\"T_f92a8_row8_col11\" class=\"data row8 col11\" >2.37</td>\n",
- " <td id=\"T_f92a8_row8_col12\" class=\"data row8 col12\" >65.09</td>\n",
- " <td id=\"T_f92a8_row8_col13\" class=\"data row8 col13\" >3.05</td>\n",
- " <td id=\"T_f92a8_row8_col14\" class=\"data row8 col14\" >0.54</td>\n",
- " <td id=\"T_f92a8_row8_col15\" class=\"data row8 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
- " <td id=\"T_f92a8_row9_col0\" class=\"data row9 col0\" >98.56</td>\n",
- " <td id=\"T_f92a8_row9_col1\" class=\"data row9 col1\" >1.34</td>\n",
- " <td id=\"T_f92a8_row9_col2\" class=\"data row9 col2\" >98.83</td>\n",
- " <td id=\"T_f92a8_row9_col3\" class=\"data row9 col3\" >1.22</td>\n",
- " <td id=\"T_f92a8_row9_col4\" class=\"data row9 col4\" >96.03</td>\n",
- " <td id=\"T_f92a8_row9_col5\" class=\"data row9 col5\" >1.76</td>\n",
- " <td id=\"T_f92a8_row9_col6\" class=\"data row9 col6\" >98.61</td>\n",
- " <td id=\"T_f92a8_row9_col7\" class=\"data row9 col7\" >2.36</td>\n",
- " <td id=\"T_f92a8_row9_col8\" class=\"data row9 col8\" >1.25</td>\n",
- " <td id=\"T_f92a8_row9_col9\" class=\"data row9 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row9_col10\" class=\"data row9 col10\" >30.49</td>\n",
- " <td id=\"T_f92a8_row9_col11\" class=\"data row9 col11\" >2.38</td>\n",
- " <td id=\"T_f92a8_row9_col12\" class=\"data row9 col12\" >64.96</td>\n",
- " <td id=\"T_f92a8_row9_col13\" class=\"data row9 col13\" >2.99</td>\n",
- " <td id=\"T_f92a8_row9_col14\" class=\"data row9 col14\" >0.55</td>\n",
- " <td id=\"T_f92a8_row9_col15\" class=\"data row9 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
- " <td id=\"T_f92a8_row10_col0\" class=\"data row10 col0\" >98.53</td>\n",
- " <td id=\"T_f92a8_row10_col1\" class=\"data row10 col1\" >1.41</td>\n",
- " <td id=\"T_f92a8_row10_col2\" class=\"data row10 col2\" >98.61</td>\n",
- " <td id=\"T_f92a8_row10_col3\" class=\"data row10 col3\" >1.35</td>\n",
- " <td id=\"T_f92a8_row10_col4\" class=\"data row10 col4\" >95.56</td>\n",
- " <td id=\"T_f92a8_row10_col5\" class=\"data row10 col5\" >1.64</td>\n",
- " <td id=\"T_f92a8_row10_col6\" class=\"data row10 col6\" >98.96</td>\n",
- " <td id=\"T_f92a8_row10_col7\" class=\"data row10 col7\" >1.88</td>\n",
- " <td id=\"T_f92a8_row10_col8\" class=\"data row10 col8\" >1.23</td>\n",
- " <td id=\"T_f92a8_row10_col9\" class=\"data row10 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row10_col10\" class=\"data row10 col10\" >17.54</td>\n",
- " <td id=\"T_f92a8_row10_col11\" class=\"data row10 col11\" >2.92</td>\n",
- " <td id=\"T_f92a8_row10_col12\" class=\"data row10 col12\" >64.99</td>\n",
- " <td id=\"T_f92a8_row10_col13\" class=\"data row10 col13\" >2.90</td>\n",
- " <td id=\"T_f92a8_row10_col14\" class=\"data row10 col14\" >0.32</td>\n",
- " <td id=\"T_f92a8_row10_col15\" class=\"data row10 col15\" >0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
- " <td id=\"T_f92a8_row11_col0\" class=\"data row11 col0\" >98.40</td>\n",
- " <td id=\"T_f92a8_row11_col1\" class=\"data row11 col1\" >1.54</td>\n",
- " <td id=\"T_f92a8_row11_col2\" class=\"data row11 col2\" >98.51</td>\n",
- " <td id=\"T_f92a8_row11_col3\" class=\"data row11 col3\" >1.38</td>\n",
- " <td id=\"T_f92a8_row11_col4\" class=\"data row11 col4\" >97.38</td>\n",
- " <td id=\"T_f92a8_row11_col5\" class=\"data row11 col5\" >1.39</td>\n",
- " <td id=\"T_f92a8_row11_col6\" class=\"data row11 col6\" >99.59</td>\n",
- " <td id=\"T_f92a8_row11_col7\" class=\"data row11 col7\" >0.83</td>\n",
- " <td id=\"T_f92a8_row11_col8\" class=\"data row11 col8\" >1.20</td>\n",
- " <td id=\"T_f92a8_row11_col9\" class=\"data row11 col9\" >0.07</td>\n",
- " <td id=\"T_f92a8_row11_col10\" class=\"data row11 col10\" >14.14</td>\n",
- " <td id=\"T_f92a8_row11_col11\" class=\"data row11 col11\" >2.11</td>\n",
- " <td id=\"T_f92a8_row11_col12\" class=\"data row11 col12\" >64.48</td>\n",
- " <td id=\"T_f92a8_row11_col13\" class=\"data row11 col13\" >2.98</td>\n",
- " <td id=\"T_f92a8_row11_col14\" class=\"data row11 col14\" >0.26</td>\n",
- " <td id=\"T_f92a8_row11_col15\" class=\"data row11 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
- " <td id=\"T_f92a8_row12_col0\" class=\"data row12 col0\" >98.55</td>\n",
- " <td id=\"T_f92a8_row12_col1\" class=\"data row12 col1\" >1.41</td>\n",
- " <td id=\"T_f92a8_row12_col2\" class=\"data row12 col2\" >98.64</td>\n",
- " <td id=\"T_f92a8_row12_col3\" class=\"data row12 col3\" >1.39</td>\n",
- " <td id=\"T_f92a8_row12_col4\" class=\"data row12 col4\" >98.01</td>\n",
- " <td id=\"T_f92a8_row12_col5\" class=\"data row12 col5\" >1.21</td>\n",
- " <td id=\"T_f92a8_row12_col6\" class=\"data row12 col6\" >99.78</td>\n",
- " <td id=\"T_f92a8_row12_col7\" class=\"data row12 col7\" >0.66</td>\n",
- " <td id=\"T_f92a8_row12_col8\" class=\"data row12 col8\" >1.17</td>\n",
- " <td id=\"T_f92a8_row12_col9\" class=\"data row12 col9\" >0.05</td>\n",
- " <td id=\"T_f92a8_row12_col10\" class=\"data row12 col10\" >14.99</td>\n",
- " <td id=\"T_f92a8_row12_col11\" class=\"data row12 col11\" >2.15</td>\n",
- " <td id=\"T_f92a8_row12_col12\" class=\"data row12 col12\" >64.42</td>\n",
- " <td id=\"T_f92a8_row12_col13\" class=\"data row12 col13\" >2.97</td>\n",
- " <td id=\"T_f92a8_row12_col14\" class=\"data row12 col14\" >0.27</td>\n",
- " <td id=\"T_f92a8_row12_col15\" class=\"data row12 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
- " <td id=\"T_f92a8_row13_col0\" class=\"data row13 col0\" >98.49</td>\n",
- " <td id=\"T_f92a8_row13_col1\" class=\"data row13 col1\" >1.37</td>\n",
- " <td id=\"T_f92a8_row13_col2\" class=\"data row13 col2\" >98.42</td>\n",
- " <td id=\"T_f92a8_row13_col3\" class=\"data row13 col3\" >1.32</td>\n",
- " <td id=\"T_f92a8_row13_col4\" class=\"data row13 col4\" >97.88</td>\n",
- " <td id=\"T_f92a8_row13_col5\" class=\"data row13 col5\" >1.27</td>\n",
- " <td id=\"T_f92a8_row13_col6\" class=\"data row13 col6\" >99.77</td>\n",
- " <td id=\"T_f92a8_row13_col7\" class=\"data row13 col7\" >0.77</td>\n",
- " <td id=\"T_f92a8_row13_col8\" class=\"data row13 col8\" >1.15</td>\n",
- " <td id=\"T_f92a8_row13_col9\" class=\"data row13 col9\" >0.05</td>\n",
- " <td id=\"T_f92a8_row13_col10\" class=\"data row13 col10\" >8.16</td>\n",
- " <td id=\"T_f92a8_row13_col11\" class=\"data row13 col11\" >2.07</td>\n",
- " <td id=\"T_f92a8_row13_col12\" class=\"data row13 col12\" >64.49</td>\n",
- " <td id=\"T_f92a8_row13_col13\" class=\"data row13 col13\" >2.88</td>\n",
- " <td id=\"T_f92a8_row13_col14\" class=\"data row13 col14\" >0.15</td>\n",
- " <td id=\"T_f92a8_row13_col15\" class=\"data row13 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
- " <td id=\"T_f92a8_row14_col0\" class=\"data row14 col0\" >98.50</td>\n",
- " <td id=\"T_f92a8_row14_col1\" class=\"data row14 col1\" >1.48</td>\n",
- " <td id=\"T_f92a8_row14_col2\" class=\"data row14 col2\" >98.74</td>\n",
- " <td id=\"T_f92a8_row14_col3\" class=\"data row14 col3\" >1.26</td>\n",
- " <td id=\"T_f92a8_row14_col4\" class=\"data row14 col4\" >97.10</td>\n",
- " <td id=\"T_f92a8_row14_col5\" class=\"data row14 col5\" >1.41</td>\n",
- " <td id=\"T_f92a8_row14_col6\" class=\"data row14 col6\" >99.45</td>\n",
- " <td id=\"T_f92a8_row14_col7\" class=\"data row14 col7\" >1.59</td>\n",
- " <td id=\"T_f92a8_row14_col8\" class=\"data row14 col8\" >1.18</td>\n",
- " <td id=\"T_f92a8_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
- " <td id=\"T_f92a8_row14_col10\" class=\"data row14 col10\" >11.59</td>\n",
- " <td id=\"T_f92a8_row14_col11\" class=\"data row14 col11\" >2.46</td>\n",
- " <td id=\"T_f92a8_row14_col12\" class=\"data row14 col12\" >64.63</td>\n",
- " <td id=\"T_f92a8_row14_col13\" class=\"data row14 col13\" >2.91</td>\n",
- " <td id=\"T_f92a8_row14_col14\" class=\"data row14 col14\" >0.21</td>\n",
- " <td id=\"T_f92a8_row14_col15\" class=\"data row14 col15\" >0.04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th id=\"T_f92a8_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
- " <td id=\"T_f92a8_row15_col0\" class=\"data row15 col0\" >98.46</td>\n",
- " <td id=\"T_f92a8_row15_col1\" class=\"data row15 col1\" >1.45</td>\n",
- " <td id=\"T_f92a8_row15_col2\" class=\"data row15 col2\" >98.50</td>\n",
- " <td id=\"T_f92a8_row15_col3\" class=\"data row15 col3\" >1.26</td>\n",
- " <td id=\"T_f92a8_row15_col4\" class=\"data row15 col4\" >98.91</td>\n",
- " <td id=\"T_f92a8_row15_col5\" class=\"data row15 col5\" >0.95</td>\n",
- " <td id=\"T_f92a8_row15_col6\" class=\"data row15 col6\" >99.89</td>\n",
- " <td id=\"T_f92a8_row15_col7\" class=\"data row15 col7\" >0.46</td>\n",
- " <td id=\"T_f92a8_row15_col8\" class=\"data row15 col8\" >1.12</td>\n",
- " <td id=\"T_f92a8_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
- " <td id=\"T_f92a8_row15_col10\" class=\"data row15 col10\" >4.84</td>\n",
- " <td id=\"T_f92a8_row15_col11\" class=\"data row15 col11\" >1.51</td>\n",
- " <td id=\"T_f92a8_row15_col12\" class=\"data row15 col12\" >64.20</td>\n",
- " <td id=\"T_f92a8_row15_col13\" class=\"data row15 col13\" >2.95</td>\n",
- " <td id=\"T_f92a8_row15_col14\" class=\"data row15 col14\" >0.09</td>\n",
- " <td id=\"T_f92a8_row15_col15\" class=\"data row15 col15\" >0.03</td>\n",
+ " <th id=\"T_2e9e1_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_2e9e1_row0_col0\" class=\"data row0 col0\" >98.46</td>\n",
+ " <td id=\"T_2e9e1_row0_col1\" class=\"data row0 col1\" >1.45</td>\n",
+ " <td id=\"T_2e9e1_row0_col2\" class=\"data row0 col2\" >98.50</td>\n",
+ " <td id=\"T_2e9e1_row0_col3\" class=\"data row0 col3\" >1.26</td>\n",
+ " <td id=\"T_2e9e1_row0_col4\" class=\"data row0 col4\" >98.91</td>\n",
+ " <td id=\"T_2e9e1_row0_col5\" class=\"data row0 col5\" >0.95</td>\n",
+ " <td id=\"T_2e9e1_row0_col6\" class=\"data row0 col6\" >99.89</td>\n",
+ " <td id=\"T_2e9e1_row0_col7\" class=\"data row0 col7\" >0.46</td>\n",
+ " <td id=\"T_2e9e1_row0_col8\" class=\"data row0 col8\" >1.12</td>\n",
+ " <td id=\"T_2e9e1_row0_col9\" class=\"data row0 col9\" >0.05</td>\n",
+ " <td id=\"T_2e9e1_row0_col10\" class=\"data row0 col10\" >47.02</td>\n",
+ " <td id=\"T_2e9e1_row0_col11\" class=\"data row0 col11\" >1.74</td>\n",
+ " <td id=\"T_2e9e1_row0_col12\" class=\"data row0 col12\" >64.20</td>\n",
+ " <td id=\"T_2e9e1_row0_col13\" class=\"data row0 col13\" >2.95</td>\n",
+ " <td id=\"T_2e9e1_row0_col14\" class=\"data row0 col14\" >0.85</td>\n",
+ " <td id=\"T_2e9e1_row0_col15\" class=\"data row0 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_2e9e1_row1_col0\" class=\"data row1 col0\" >98.50</td>\n",
+ " <td id=\"T_2e9e1_row1_col1\" class=\"data row1 col1\" >1.38</td>\n",
+ " <td id=\"T_2e9e1_row1_col2\" class=\"data row1 col2\" >98.75</td>\n",
+ " <td id=\"T_2e9e1_row1_col3\" class=\"data row1 col3\" >1.26</td>\n",
+ " <td id=\"T_2e9e1_row1_col4\" class=\"data row1 col4\" >94.64</td>\n",
+ " <td id=\"T_2e9e1_row1_col5\" class=\"data row1 col5\" >1.70</td>\n",
+ " <td id=\"T_2e9e1_row1_col6\" class=\"data row1 col6\" >97.79</td>\n",
+ " <td id=\"T_2e9e1_row1_col7\" class=\"data row1 col7\" >1.94</td>\n",
+ " <td id=\"T_2e9e1_row1_col8\" class=\"data row1 col8\" >1.31</td>\n",
+ " <td id=\"T_2e9e1_row1_col9\" class=\"data row1 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row1_col10\" class=\"data row1 col10\" >44.63</td>\n",
+ " <td id=\"T_2e9e1_row1_col11\" class=\"data row1 col11\" >1.76</td>\n",
+ " <td id=\"T_2e9e1_row1_col12\" class=\"data row1 col12\" >65.24</td>\n",
+ " <td id=\"T_2e9e1_row1_col13\" class=\"data row1 col13\" >2.92</td>\n",
+ " <td id=\"T_2e9e1_row1_col14\" class=\"data row1 col14\" >0.81</td>\n",
+ " <td id=\"T_2e9e1_row1_col15\" class=\"data row1 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_2e9e1_row2_col0\" class=\"data row2 col0\" >98.45</td>\n",
+ " <td id=\"T_2e9e1_row2_col1\" class=\"data row2 col1\" >1.40</td>\n",
+ " <td id=\"T_2e9e1_row2_col2\" class=\"data row2 col2\" >98.62</td>\n",
+ " <td id=\"T_2e9e1_row2_col3\" class=\"data row2 col3\" >1.40</td>\n",
+ " <td id=\"T_2e9e1_row2_col4\" class=\"data row2 col4\" >94.73</td>\n",
+ " <td id=\"T_2e9e1_row2_col5\" class=\"data row2 col5\" >1.74</td>\n",
+ " <td id=\"T_2e9e1_row2_col6\" class=\"data row2 col6\" >97.90</td>\n",
+ " <td id=\"T_2e9e1_row2_col7\" class=\"data row2 col7\" >2.62</td>\n",
+ " <td id=\"T_2e9e1_row2_col8\" class=\"data row2 col8\" >1.27</td>\n",
+ " <td id=\"T_2e9e1_row2_col9\" class=\"data row2 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row2_col10\" class=\"data row2 col10\" >44.68</td>\n",
+ " <td id=\"T_2e9e1_row2_col11\" class=\"data row2 col11\" >1.78</td>\n",
+ " <td id=\"T_2e9e1_row2_col12\" class=\"data row2 col12\" >65.11</td>\n",
+ " <td id=\"T_2e9e1_row2_col13\" class=\"data row2 col13\" >2.96</td>\n",
+ " <td id=\"T_2e9e1_row2_col14\" class=\"data row2 col14\" >0.81</td>\n",
+ " <td id=\"T_2e9e1_row2_col15\" class=\"data row2 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_2e9e1_row3_col0\" class=\"data row3 col0\" >98.49</td>\n",
+ " <td id=\"T_2e9e1_row3_col1\" class=\"data row3 col1\" >1.50</td>\n",
+ " <td id=\"T_2e9e1_row3_col2\" class=\"data row3 col2\" >98.64</td>\n",
+ " <td id=\"T_2e9e1_row3_col3\" class=\"data row3 col3\" >1.28</td>\n",
+ " <td id=\"T_2e9e1_row3_col4\" class=\"data row3 col4\" >93.99</td>\n",
+ " <td id=\"T_2e9e1_row3_col5\" class=\"data row3 col5\" >1.69</td>\n",
+ " <td id=\"T_2e9e1_row3_col6\" class=\"data row3 col6\" >97.67</td>\n",
+ " <td id=\"T_2e9e1_row3_col7\" class=\"data row3 col7\" >2.54</td>\n",
+ " <td id=\"T_2e9e1_row3_col8\" class=\"data row3 col8\" >1.35</td>\n",
+ " <td id=\"T_2e9e1_row3_col9\" class=\"data row3 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row3_col10\" class=\"data row3 col10\" >44.30</td>\n",
+ " <td id=\"T_2e9e1_row3_col11\" class=\"data row3 col11\" >1.60</td>\n",
+ " <td id=\"T_2e9e1_row3_col12\" class=\"data row3 col12\" >65.30</td>\n",
+ " <td id=\"T_2e9e1_row3_col13\" class=\"data row3 col13\" >3.01</td>\n",
+ " <td id=\"T_2e9e1_row3_col14\" class=\"data row3 col14\" >0.80</td>\n",
+ " <td id=\"T_2e9e1_row3_col15\" class=\"data row3 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_2e9e1_row4_col0\" class=\"data row4 col0\" >98.55</td>\n",
+ " <td id=\"T_2e9e1_row4_col1\" class=\"data row4 col1\" >1.39</td>\n",
+ " <td id=\"T_2e9e1_row4_col2\" class=\"data row4 col2\" >98.72</td>\n",
+ " <td id=\"T_2e9e1_row4_col3\" class=\"data row4 col3\" >1.26</td>\n",
+ " <td id=\"T_2e9e1_row4_col4\" class=\"data row4 col4\" >94.59</td>\n",
+ " <td id=\"T_2e9e1_row4_col5\" class=\"data row4 col5\" >1.80</td>\n",
+ " <td id=\"T_2e9e1_row4_col6\" class=\"data row4 col6\" >97.44</td>\n",
+ " <td id=\"T_2e9e1_row4_col7\" class=\"data row4 col7\" >3.01</td>\n",
+ " <td id=\"T_2e9e1_row4_col8\" class=\"data row4 col8\" >1.33</td>\n",
+ " <td id=\"T_2e9e1_row4_col9\" class=\"data row4 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row4_col10\" class=\"data row4 col10\" >44.72</td>\n",
+ " <td id=\"T_2e9e1_row4_col11\" class=\"data row4 col11\" >1.76</td>\n",
+ " <td id=\"T_2e9e1_row4_col12\" class=\"data row4 col12\" >65.32</td>\n",
+ " <td id=\"T_2e9e1_row4_col13\" class=\"data row4 col13\" >2.98</td>\n",
+ " <td id=\"T_2e9e1_row4_col14\" class=\"data row4 col14\" >0.81</td>\n",
+ " <td id=\"T_2e9e1_row4_col15\" class=\"data row4 col15\" >0.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_2e9e1_row5_col0\" class=\"data row5 col0\" >98.51</td>\n",
+ " <td id=\"T_2e9e1_row5_col1\" class=\"data row5 col1\" >1.43</td>\n",
+ " <td id=\"T_2e9e1_row5_col2\" class=\"data row5 col2\" >98.83</td>\n",
+ " <td id=\"T_2e9e1_row5_col3\" class=\"data row5 col3\" >1.13</td>\n",
+ " <td id=\"T_2e9e1_row5_col4\" class=\"data row5 col4\" >95.71</td>\n",
+ " <td id=\"T_2e9e1_row5_col5\" class=\"data row5 col5\" >1.82</td>\n",
+ " <td id=\"T_2e9e1_row5_col6\" class=\"data row5 col6\" >98.67</td>\n",
+ " <td id=\"T_2e9e1_row5_col7\" class=\"data row5 col7\" >1.42</td>\n",
+ " <td id=\"T_2e9e1_row5_col8\" class=\"data row5 col8\" >1.26</td>\n",
+ " <td id=\"T_2e9e1_row5_col9\" class=\"data row5 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row5_col10\" class=\"data row5 col10\" >30.01</td>\n",
+ " <td id=\"T_2e9e1_row5_col11\" class=\"data row5 col11\" >2.36</td>\n",
+ " <td id=\"T_2e9e1_row5_col12\" class=\"data row5 col12\" >64.93</td>\n",
+ " <td id=\"T_2e9e1_row5_col13\" class=\"data row5 col13\" >2.97</td>\n",
+ " <td id=\"T_2e9e1_row5_col14\" class=\"data row5 col14\" >0.54</td>\n",
+ " <td id=\"T_2e9e1_row5_col15\" class=\"data row5 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_2e9e1_row6_col0\" class=\"data row6 col0\" >98.39</td>\n",
+ " <td id=\"T_2e9e1_row6_col1\" class=\"data row6 col1\" >1.55</td>\n",
+ " <td id=\"T_2e9e1_row6_col2\" class=\"data row6 col2\" >98.53</td>\n",
+ " <td id=\"T_2e9e1_row6_col3\" class=\"data row6 col3\" >1.47</td>\n",
+ " <td id=\"T_2e9e1_row6_col4\" class=\"data row6 col4\" >95.96</td>\n",
+ " <td id=\"T_2e9e1_row6_col5\" class=\"data row6 col5\" >1.56</td>\n",
+ " <td id=\"T_2e9e1_row6_col6\" class=\"data row6 col6\" >99.33</td>\n",
+ " <td id=\"T_2e9e1_row6_col7\" class=\"data row6 col7\" >1.00</td>\n",
+ " <td id=\"T_2e9e1_row6_col8\" class=\"data row6 col8\" >1.24</td>\n",
+ " <td id=\"T_2e9e1_row6_col9\" class=\"data row6 col9\" >0.06</td>\n",
+ " <td id=\"T_2e9e1_row6_col10\" class=\"data row6 col10\" >21.73</td>\n",
+ " <td id=\"T_2e9e1_row6_col11\" class=\"data row6 col11\" >2.43</td>\n",
+ " <td id=\"T_2e9e1_row6_col12\" class=\"data row6 col12\" >64.91</td>\n",
+ " <td id=\"T_2e9e1_row6_col13\" class=\"data row6 col13\" >2.97</td>\n",
+ " <td id=\"T_2e9e1_row6_col14\" class=\"data row6 col14\" >0.39</td>\n",
+ " <td id=\"T_2e9e1_row6_col15\" class=\"data row6 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_2e9e1_row7_col0\" class=\"data row7 col0\" >98.59</td>\n",
+ " <td id=\"T_2e9e1_row7_col1\" class=\"data row7 col1\" >1.33</td>\n",
+ " <td id=\"T_2e9e1_row7_col2\" class=\"data row7 col2\" >98.65</td>\n",
+ " <td id=\"T_2e9e1_row7_col3\" class=\"data row7 col3\" >1.28</td>\n",
+ " <td id=\"T_2e9e1_row7_col4\" class=\"data row7 col4\" >96.54</td>\n",
+ " <td id=\"T_2e9e1_row7_col5\" class=\"data row7 col5\" >1.44</td>\n",
+ " <td id=\"T_2e9e1_row7_col6\" class=\"data row7 col6\" >99.45</td>\n",
+ " <td id=\"T_2e9e1_row7_col7\" class=\"data row7 col7\" >1.20</td>\n",
+ " <td id=\"T_2e9e1_row7_col8\" class=\"data row7 col8\" >1.22</td>\n",
+ " <td id=\"T_2e9e1_row7_col9\" class=\"data row7 col9\" >0.06</td>\n",
+ " <td id=\"T_2e9e1_row7_col10\" class=\"data row7 col10\" >22.49</td>\n",
+ " <td id=\"T_2e9e1_row7_col11\" class=\"data row7 col11\" >2.81</td>\n",
+ " <td id=\"T_2e9e1_row7_col12\" class=\"data row7 col12\" >64.85</td>\n",
+ " <td id=\"T_2e9e1_row7_col13\" class=\"data row7 col13\" >2.91</td>\n",
+ " <td id=\"T_2e9e1_row7_col14\" class=\"data row7 col14\" >0.41</td>\n",
+ " <td id=\"T_2e9e1_row7_col15\" class=\"data row7 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_2e9e1_row8_col0\" class=\"data row8 col0\" >98.46</td>\n",
+ " <td id=\"T_2e9e1_row8_col1\" class=\"data row8 col1\" >1.58</td>\n",
+ " <td id=\"T_2e9e1_row8_col2\" class=\"data row8 col2\" >98.66</td>\n",
+ " <td id=\"T_2e9e1_row8_col3\" class=\"data row8 col3\" >1.33</td>\n",
+ " <td id=\"T_2e9e1_row8_col4\" class=\"data row8 col4\" >95.16</td>\n",
+ " <td id=\"T_2e9e1_row8_col5\" class=\"data row8 col5\" >1.60</td>\n",
+ " <td id=\"T_2e9e1_row8_col6\" class=\"data row8 col6\" >98.70</td>\n",
+ " <td id=\"T_2e9e1_row8_col7\" class=\"data row8 col7\" >1.72</td>\n",
+ " <td id=\"T_2e9e1_row8_col8\" class=\"data row8 col8\" >1.30</td>\n",
+ " <td id=\"T_2e9e1_row8_col9\" class=\"data row8 col9\" >0.08</td>\n",
+ " <td id=\"T_2e9e1_row8_col10\" class=\"data row8 col10\" >29.78</td>\n",
+ " <td id=\"T_2e9e1_row8_col11\" class=\"data row8 col11\" >2.37</td>\n",
+ " <td id=\"T_2e9e1_row8_col12\" class=\"data row8 col12\" >65.09</td>\n",
+ " <td id=\"T_2e9e1_row8_col13\" class=\"data row8 col13\" >3.05</td>\n",
+ " <td id=\"T_2e9e1_row8_col14\" class=\"data row8 col14\" >0.54</td>\n",
+ " <td id=\"T_2e9e1_row8_col15\" class=\"data row8 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_2e9e1_row9_col0\" class=\"data row9 col0\" >98.56</td>\n",
+ " <td id=\"T_2e9e1_row9_col1\" class=\"data row9 col1\" >1.34</td>\n",
+ " <td id=\"T_2e9e1_row9_col2\" class=\"data row9 col2\" >98.83</td>\n",
+ " <td id=\"T_2e9e1_row9_col3\" class=\"data row9 col3\" >1.22</td>\n",
+ " <td id=\"T_2e9e1_row9_col4\" class=\"data row9 col4\" >96.03</td>\n",
+ " <td id=\"T_2e9e1_row9_col5\" class=\"data row9 col5\" >1.76</td>\n",
+ " <td id=\"T_2e9e1_row9_col6\" class=\"data row9 col6\" >98.61</td>\n",
+ " <td id=\"T_2e9e1_row9_col7\" class=\"data row9 col7\" >2.36</td>\n",
+ " <td id=\"T_2e9e1_row9_col8\" class=\"data row9 col8\" >1.25</td>\n",
+ " <td id=\"T_2e9e1_row9_col9\" class=\"data row9 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row9_col10\" class=\"data row9 col10\" >30.49</td>\n",
+ " <td id=\"T_2e9e1_row9_col11\" class=\"data row9 col11\" >2.38</td>\n",
+ " <td id=\"T_2e9e1_row9_col12\" class=\"data row9 col12\" >64.96</td>\n",
+ " <td id=\"T_2e9e1_row9_col13\" class=\"data row9 col13\" >2.99</td>\n",
+ " <td id=\"T_2e9e1_row9_col14\" class=\"data row9 col14\" >0.55</td>\n",
+ " <td id=\"T_2e9e1_row9_col15\" class=\"data row9 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_2e9e1_row10_col0\" class=\"data row10 col0\" >98.53</td>\n",
+ " <td id=\"T_2e9e1_row10_col1\" class=\"data row10 col1\" >1.41</td>\n",
+ " <td id=\"T_2e9e1_row10_col2\" class=\"data row10 col2\" >98.61</td>\n",
+ " <td id=\"T_2e9e1_row10_col3\" class=\"data row10 col3\" >1.35</td>\n",
+ " <td id=\"T_2e9e1_row10_col4\" class=\"data row10 col4\" >95.56</td>\n",
+ " <td id=\"T_2e9e1_row10_col5\" class=\"data row10 col5\" >1.64</td>\n",
+ " <td id=\"T_2e9e1_row10_col6\" class=\"data row10 col6\" >98.96</td>\n",
+ " <td id=\"T_2e9e1_row10_col7\" class=\"data row10 col7\" >1.88</td>\n",
+ " <td id=\"T_2e9e1_row10_col8\" class=\"data row10 col8\" >1.23</td>\n",
+ " <td id=\"T_2e9e1_row10_col9\" class=\"data row10 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row10_col10\" class=\"data row10 col10\" >17.54</td>\n",
+ " <td id=\"T_2e9e1_row10_col11\" class=\"data row10 col11\" >2.92</td>\n",
+ " <td id=\"T_2e9e1_row10_col12\" class=\"data row10 col12\" >64.99</td>\n",
+ " <td id=\"T_2e9e1_row10_col13\" class=\"data row10 col13\" >2.90</td>\n",
+ " <td id=\"T_2e9e1_row10_col14\" class=\"data row10 col14\" >0.32</td>\n",
+ " <td id=\"T_2e9e1_row10_col15\" class=\"data row10 col15\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_2e9e1_row11_col0\" class=\"data row11 col0\" >98.40</td>\n",
+ " <td id=\"T_2e9e1_row11_col1\" class=\"data row11 col1\" >1.54</td>\n",
+ " <td id=\"T_2e9e1_row11_col2\" class=\"data row11 col2\" >98.51</td>\n",
+ " <td id=\"T_2e9e1_row11_col3\" class=\"data row11 col3\" >1.38</td>\n",
+ " <td id=\"T_2e9e1_row11_col4\" class=\"data row11 col4\" >97.38</td>\n",
+ " <td id=\"T_2e9e1_row11_col5\" class=\"data row11 col5\" >1.39</td>\n",
+ " <td id=\"T_2e9e1_row11_col6\" class=\"data row11 col6\" >99.59</td>\n",
+ " <td id=\"T_2e9e1_row11_col7\" class=\"data row11 col7\" >0.83</td>\n",
+ " <td id=\"T_2e9e1_row11_col8\" class=\"data row11 col8\" >1.20</td>\n",
+ " <td id=\"T_2e9e1_row11_col9\" class=\"data row11 col9\" >0.07</td>\n",
+ " <td id=\"T_2e9e1_row11_col10\" class=\"data row11 col10\" >14.14</td>\n",
+ " <td id=\"T_2e9e1_row11_col11\" class=\"data row11 col11\" >2.11</td>\n",
+ " <td id=\"T_2e9e1_row11_col12\" class=\"data row11 col12\" >64.48</td>\n",
+ " <td id=\"T_2e9e1_row11_col13\" class=\"data row11 col13\" >2.98</td>\n",
+ " <td id=\"T_2e9e1_row11_col14\" class=\"data row11 col14\" >0.26</td>\n",
+ " <td id=\"T_2e9e1_row11_col15\" class=\"data row11 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_2e9e1_row12_col0\" class=\"data row12 col0\" >98.55</td>\n",
+ " <td id=\"T_2e9e1_row12_col1\" class=\"data row12 col1\" >1.41</td>\n",
+ " <td id=\"T_2e9e1_row12_col2\" class=\"data row12 col2\" >98.64</td>\n",
+ " <td id=\"T_2e9e1_row12_col3\" class=\"data row12 col3\" >1.39</td>\n",
+ " <td id=\"T_2e9e1_row12_col4\" class=\"data row12 col4\" >98.01</td>\n",
+ " <td id=\"T_2e9e1_row12_col5\" class=\"data row12 col5\" >1.21</td>\n",
+ " <td id=\"T_2e9e1_row12_col6\" class=\"data row12 col6\" >99.78</td>\n",
+ " <td id=\"T_2e9e1_row12_col7\" class=\"data row12 col7\" >0.66</td>\n",
+ " <td id=\"T_2e9e1_row12_col8\" class=\"data row12 col8\" >1.17</td>\n",
+ " <td id=\"T_2e9e1_row12_col9\" class=\"data row12 col9\" >0.05</td>\n",
+ " <td id=\"T_2e9e1_row12_col10\" class=\"data row12 col10\" >14.99</td>\n",
+ " <td id=\"T_2e9e1_row12_col11\" class=\"data row12 col11\" >2.15</td>\n",
+ " <td id=\"T_2e9e1_row12_col12\" class=\"data row12 col12\" >64.42</td>\n",
+ " <td id=\"T_2e9e1_row12_col13\" class=\"data row12 col13\" >2.97</td>\n",
+ " <td id=\"T_2e9e1_row12_col14\" class=\"data row12 col14\" >0.27</td>\n",
+ " <td id=\"T_2e9e1_row12_col15\" class=\"data row12 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_2e9e1_row13_col0\" class=\"data row13 col0\" >98.49</td>\n",
+ " <td id=\"T_2e9e1_row13_col1\" class=\"data row13 col1\" >1.37</td>\n",
+ " <td id=\"T_2e9e1_row13_col2\" class=\"data row13 col2\" >98.42</td>\n",
+ " <td id=\"T_2e9e1_row13_col3\" class=\"data row13 col3\" >1.32</td>\n",
+ " <td id=\"T_2e9e1_row13_col4\" class=\"data row13 col4\" >97.88</td>\n",
+ " <td id=\"T_2e9e1_row13_col5\" class=\"data row13 col5\" >1.27</td>\n",
+ " <td id=\"T_2e9e1_row13_col6\" class=\"data row13 col6\" >99.77</td>\n",
+ " <td id=\"T_2e9e1_row13_col7\" class=\"data row13 col7\" >0.77</td>\n",
+ " <td id=\"T_2e9e1_row13_col8\" class=\"data row13 col8\" >1.15</td>\n",
+ " <td id=\"T_2e9e1_row13_col9\" class=\"data row13 col9\" >0.05</td>\n",
+ " <td id=\"T_2e9e1_row13_col10\" class=\"data row13 col10\" >8.16</td>\n",
+ " <td id=\"T_2e9e1_row13_col11\" class=\"data row13 col11\" >2.07</td>\n",
+ " <td id=\"T_2e9e1_row13_col12\" class=\"data row13 col12\" >64.49</td>\n",
+ " <td id=\"T_2e9e1_row13_col13\" class=\"data row13 col13\" >2.88</td>\n",
+ " <td id=\"T_2e9e1_row13_col14\" class=\"data row13 col14\" >0.15</td>\n",
+ " <td id=\"T_2e9e1_row13_col15\" class=\"data row13 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_2e9e1_row14_col0\" class=\"data row14 col0\" >98.50</td>\n",
+ " <td id=\"T_2e9e1_row14_col1\" class=\"data row14 col1\" >1.48</td>\n",
+ " <td id=\"T_2e9e1_row14_col2\" class=\"data row14 col2\" >98.74</td>\n",
+ " <td id=\"T_2e9e1_row14_col3\" class=\"data row14 col3\" >1.26</td>\n",
+ " <td id=\"T_2e9e1_row14_col4\" class=\"data row14 col4\" >97.10</td>\n",
+ " <td id=\"T_2e9e1_row14_col5\" class=\"data row14 col5\" >1.41</td>\n",
+ " <td id=\"T_2e9e1_row14_col6\" class=\"data row14 col6\" >99.45</td>\n",
+ " <td id=\"T_2e9e1_row14_col7\" class=\"data row14 col7\" >1.59</td>\n",
+ " <td id=\"T_2e9e1_row14_col8\" class=\"data row14 col8\" >1.18</td>\n",
+ " <td id=\"T_2e9e1_row14_col9\" class=\"data row14 col9\" >0.06</td>\n",
+ " <td id=\"T_2e9e1_row14_col10\" class=\"data row14 col10\" >11.59</td>\n",
+ " <td id=\"T_2e9e1_row14_col11\" class=\"data row14 col11\" >2.46</td>\n",
+ " <td id=\"T_2e9e1_row14_col12\" class=\"data row14 col12\" >64.63</td>\n",
+ " <td id=\"T_2e9e1_row14_col13\" class=\"data row14 col13\" >2.91</td>\n",
+ " <td id=\"T_2e9e1_row14_col14\" class=\"data row14 col14\" >0.21</td>\n",
+ " <td id=\"T_2e9e1_row14_col15\" class=\"data row14 col15\" >0.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_2e9e1_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_2e9e1_row15_col0\" class=\"data row15 col0\" >98.46</td>\n",
+ " <td id=\"T_2e9e1_row15_col1\" class=\"data row15 col1\" >1.45</td>\n",
+ " <td id=\"T_2e9e1_row15_col2\" class=\"data row15 col2\" >98.50</td>\n",
+ " <td id=\"T_2e9e1_row15_col3\" class=\"data row15 col3\" >1.26</td>\n",
+ " <td id=\"T_2e9e1_row15_col4\" class=\"data row15 col4\" >98.91</td>\n",
+ " <td id=\"T_2e9e1_row15_col5\" class=\"data row15 col5\" >0.95</td>\n",
+ " <td id=\"T_2e9e1_row15_col6\" class=\"data row15 col6\" >99.89</td>\n",
+ " <td id=\"T_2e9e1_row15_col7\" class=\"data row15 col7\" >0.46</td>\n",
+ " <td id=\"T_2e9e1_row15_col8\" class=\"data row15 col8\" >1.12</td>\n",
+ " <td id=\"T_2e9e1_row15_col9\" class=\"data row15 col9\" >0.05</td>\n",
+ " <td id=\"T_2e9e1_row15_col10\" class=\"data row15 col10\" >4.84</td>\n",
+ " <td id=\"T_2e9e1_row15_col11\" class=\"data row15 col11\" >1.51</td>\n",
+ " <td id=\"T_2e9e1_row15_col12\" class=\"data row15 col12\" >64.20</td>\n",
+ " <td id=\"T_2e9e1_row15_col13\" class=\"data row15 col13\" >2.95</td>\n",
+ " <td id=\"T_2e9e1_row15_col14\" class=\"data row15 col14\" >0.09</td>\n",
+ " <td id=\"T_2e9e1_row15_col15\" class=\"data row15 col15\" >0.03</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n"
],
"text/plain": [
- "<pandas.io.formats.style.Styler at 0x7c31db9db9d0>"
+ "<pandas.io.formats.style.Styler at 0x7150dfe66690>"
]
},
"metadata": {},
@@ -1185,122 +1179,12124 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.plot_graph(\"large\", simplified=True)"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_bidded(\"large\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_qos(\"large\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_money_and_energy(\"large\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Medium"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.plot_graph(\"medium\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_bidded(\"medium\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_qos(\"medium\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_money_and_energy(\"medium\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Small"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.plot_graph(\"small\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_bidded(\"small\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "analysis_plot.draw_table_qos(\"small\", tables_type=\"both\", simplified=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_4e2a4 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_4e2a4 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_4e2a4_row0_col0, #T_4e2a4_row58_col2, #T_4e2a4_row60_col0 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row0_col2, #T_4e2a4_row16_col2, #T_4e2a4_row60_col2 {\n",
+ " background-color: #54fd54;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row1_col0, #T_4e2a4_row61_col0 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row1_col2, #T_4e2a4_row56_col0, #T_4e2a4_row61_col2 {\n",
+ " background-color: #c9f5c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row2_col0, #T_4e2a4_row62_col0 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row2_col2, #T_4e2a4_row62_col2 {\n",
+ " background-color: #a1f8a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row3_col0, #T_4e2a4_row58_col0, #T_4e2a4_row63_col0 {\n",
+ " background-color: #85fa85;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row3_col2, #T_4e2a4_row52_col2, #T_4e2a4_row63_col2 {\n",
+ " background-color: #47fe47;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row4_col0 {\n",
+ " background-color: #3bff3b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row4_col2, #T_4e2a4_row7_col2, #T_4e2a4_row35_col2 {\n",
+ " background-color: #48fe48;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row5_col0 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row5_col2 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row6_col0 {\n",
+ " background-color: #bbf6bb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row6_col2, #T_4e2a4_row21_col0 {\n",
+ " background-color: #96f996;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row7_col0 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row8_col0, #T_4e2a4_row12_col0, #T_4e2a4_row46_col2 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row8_col2 {\n",
+ " background-color: #5dfc5d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row9_col0 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row9_col2, #T_4e2a4_row38_col0 {\n",
+ " background-color: #cef5ce;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row10_col0, #T_4e2a4_row27_col0 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row10_col2, #T_4e2a4_row33_col0 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row11_col0, #T_4e2a4_row37_col0 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row11_col2 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row12_col2, #T_4e2a4_row31_col2 {\n",
+ " background-color: #4efd4e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row13_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row13_col2 {\n",
+ " background-color: #c4f5c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row14_col0, #T_4e2a4_row43_col0 {\n",
+ " background-color: #58fd58;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row14_col2, #T_4e2a4_row18_col0 {\n",
+ " background-color: #bef6be;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row15_col0, #T_4e2a4_row26_col2 {\n",
+ " background-color: #9df89d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row15_col2, #T_4e2a4_row19_col0, #T_4e2a4_row24_col2, #T_4e2a4_row43_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row16_col0 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row17_col0 {\n",
+ " background-color: #d2f5d2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row17_col2, #T_4e2a4_row37_col2, #T_4e2a4_row57_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row18_col2, #T_4e2a4_row54_col2 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row19_col2 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row20_col0, #T_4e2a4_row27_col2, #T_4e2a4_row31_col0 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row20_col2 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row21_col2, #T_4e2a4_row57_col0 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row22_col0 {\n",
+ " background-color: #cdf5cd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row22_col2, #T_4e2a4_row32_col0 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row23_col0 {\n",
+ " background-color: #b1f7b1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row23_col2 {\n",
+ " background-color: #59fd59;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row24_col0 {\n",
+ " background-color: #61fc61;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row25_col0 {\n",
+ " background-color: #e2f4e2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row25_col2 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row26_col0 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row28_col0 {\n",
+ " background-color: #5ffc5f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row28_col2 {\n",
+ " background-color: #3cfe3c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row29_col0 {\n",
+ " background-color: #e1f4e1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row29_col2 {\n",
+ " background-color: #d6f4d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row30_col0 {\n",
+ " background-color: #d5f4d5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row30_col2 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row32_col2 {\n",
+ " background-color: #60fc60;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row33_col2, #T_4e2a4_row49_col2 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row34_col0, #T_4e2a4_row48_col0 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row34_col2 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row35_col0 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row36_col0 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row36_col2, #T_4e2a4_row59_col0 {\n",
+ " background-color: #6afb6a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row38_col2 {\n",
+ " background-color: #98f898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row39_col0 {\n",
+ " background-color: #49fe49;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row39_col2, #T_4e2a4_row51_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row40_col0 {\n",
+ " background-color: #b7f6b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row40_col2, #T_4e2a4_row51_col0 {\n",
+ " background-color: #67fc67;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row41_col0 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row41_col2 {\n",
+ " background-color: #d3f5d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row42_col0 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row42_col2 {\n",
+ " background-color: #92f992;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row44_col0 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row44_col2, #T_4e2a4_row59_col2 {\n",
+ " background-color: #38ff38;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row45_col0 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row45_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row46_col0 {\n",
+ " background-color: #86fa86;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row47_col0, #T_4e2a4_row50_col2 {\n",
+ " background-color: #c6f5c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row47_col2 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row48_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row49_col0 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row50_col0 {\n",
+ " background-color: #e5f3e5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row52_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row53_col0, #T_4e2a4_row53_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row54_col0 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row55_col0 {\n",
+ " background-color: #72fb72;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row55_col2 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4e2a4_row56_col2 {\n",
+ " background-color: #81fa81;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_4e2a4\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_4e2a4_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_4e2a4_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_4e2a4_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_4e2a4_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_4e2a4_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_4e2a4_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_4e2a4_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_4e2a4_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_4e2a4_row0_col0\" class=\"data row0 col0\" >24.29</td>\n",
+ " <td id=\"T_4e2a4_row0_col1\" class=\"data row0 col1\" >2.31</td>\n",
+ " <td id=\"T_4e2a4_row0_col2\" class=\"data row0 col2\" >23.71</td>\n",
+ " <td id=\"T_4e2a4_row0_col3\" class=\"data row0 col3\" >2.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_4e2a4_row1_col0\" class=\"data row1 col0\" >15.79</td>\n",
+ " <td id=\"T_4e2a4_row1_col1\" class=\"data row1 col1\" >2.22</td>\n",
+ " <td id=\"T_4e2a4_row1_col2\" class=\"data row1 col2\" >16.63</td>\n",
+ " <td id=\"T_4e2a4_row1_col3\" class=\"data row1 col3\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_4e2a4_row2_col0\" class=\"data row2 col0\" >22.49</td>\n",
+ " <td id=\"T_4e2a4_row2_col1\" class=\"data row2 col1\" >2.29</td>\n",
+ " <td id=\"T_4e2a4_row2_col2\" class=\"data row2 col2\" >19.09</td>\n",
+ " <td id=\"T_4e2a4_row2_col3\" class=\"data row2 col3\" >2.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_4e2a4_row3_col0\" class=\"data row3 col0\" >25.30</td>\n",
+ " <td id=\"T_4e2a4_row3_col1\" class=\"data row3 col1\" >2.64</td>\n",
+ " <td id=\"T_4e2a4_row3_col2\" class=\"data row3 col2\" >24.54</td>\n",
+ " <td id=\"T_4e2a4_row3_col3\" class=\"data row3 col3\" >2.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_4e2a4_row4_col0\" class=\"data row4 col0\" >36.62</td>\n",
+ " <td id=\"T_4e2a4_row4_col1\" class=\"data row4 col1\" >3.63</td>\n",
+ " <td id=\"T_4e2a4_row4_col2\" class=\"data row4 col2\" >24.49</td>\n",
+ " <td id=\"T_4e2a4_row4_col3\" class=\"data row4 col3\" >3.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_4e2a4_row5_col0\" class=\"data row5 col0\" >13.44</td>\n",
+ " <td id=\"T_4e2a4_row5_col1\" class=\"data row5 col1\" >2.08</td>\n",
+ " <td id=\"T_4e2a4_row5_col2\" class=\"data row5 col2\" >16.47</td>\n",
+ " <td id=\"T_4e2a4_row5_col3\" class=\"data row5 col3\" >2.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_4e2a4_row6_col0\" class=\"data row6 col0\" >16.97</td>\n",
+ " <td id=\"T_4e2a4_row6_col1\" class=\"data row6 col1\" >2.41</td>\n",
+ " <td id=\"T_4e2a4_row6_col2\" class=\"data row6 col2\" >19.72</td>\n",
+ " <td id=\"T_4e2a4_row6_col3\" class=\"data row6 col3\" >2.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_4e2a4_row7_col0\" class=\"data row7 col0\" >21.42</td>\n",
+ " <td id=\"T_4e2a4_row7_col1\" class=\"data row7 col1\" >2.52</td>\n",
+ " <td id=\"T_4e2a4_row7_col2\" class=\"data row7 col2\" >24.45</td>\n",
+ " <td id=\"T_4e2a4_row7_col3\" class=\"data row7 col3\" >2.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_4e2a4_row8_col0\" class=\"data row8 col0\" >20.76</td>\n",
+ " <td id=\"T_4e2a4_row8_col1\" class=\"data row8 col1\" >2.68</td>\n",
+ " <td id=\"T_4e2a4_row8_col2\" class=\"data row8 col2\" >23.19</td>\n",
+ " <td id=\"T_4e2a4_row8_col3\" class=\"data row8 col3\" >2.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_4e2a4_row9_col0\" class=\"data row9 col0\" >26.73</td>\n",
+ " <td id=\"T_4e2a4_row9_col1\" class=\"data row9 col1\" >2.76</td>\n",
+ " <td id=\"T_4e2a4_row9_col2\" class=\"data row9 col2\" >16.34</td>\n",
+ " <td id=\"T_4e2a4_row9_col3\" class=\"data row9 col3\" >2.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_4e2a4_row10_col0\" class=\"data row10 col0\" >18.18</td>\n",
+ " <td id=\"T_4e2a4_row10_col1\" class=\"data row10 col1\" >2.66</td>\n",
+ " <td id=\"T_4e2a4_row10_col2\" class=\"data row10 col2\" >19.80</td>\n",
+ " <td id=\"T_4e2a4_row10_col3\" class=\"data row10 col3\" >3.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_4e2a4_row11_col0\" class=\"data row11 col0\" >22.44</td>\n",
+ " <td id=\"T_4e2a4_row11_col1\" class=\"data row11 col1\" >2.47</td>\n",
+ " <td id=\"T_4e2a4_row11_col2\" class=\"data row11 col2\" >24.69</td>\n",
+ " <td id=\"T_4e2a4_row11_col3\" class=\"data row11 col3\" >2.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_4e2a4_row12_col0\" class=\"data row12 col0\" >20.79</td>\n",
+ " <td id=\"T_4e2a4_row12_col1\" class=\"data row12 col1\" >2.89</td>\n",
+ " <td id=\"T_4e2a4_row12_col2\" class=\"data row12 col2\" >24.11</td>\n",
+ " <td id=\"T_4e2a4_row12_col3\" class=\"data row12 col3\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_4e2a4_row13_col0\" class=\"data row13 col0\" >13.74</td>\n",
+ " <td id=\"T_4e2a4_row13_col1\" class=\"data row13 col1\" >2.12</td>\n",
+ " <td id=\"T_4e2a4_row13_col2\" class=\"data row13 col2\" >16.92</td>\n",
+ " <td id=\"T_4e2a4_row13_col3\" class=\"data row13 col3\" >2.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_4e2a4_row14_col0\" class=\"data row14 col0\" >32.21</td>\n",
+ " <td id=\"T_4e2a4_row14_col1\" class=\"data row14 col1\" >3.47</td>\n",
+ " <td id=\"T_4e2a4_row14_col2\" class=\"data row14 col2\" >17.28</td>\n",
+ " <td id=\"T_4e2a4_row14_col3\" class=\"data row14 col3\" >3.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_4e2a4_row15_col0\" class=\"data row15 col0\" >21.55</td>\n",
+ " <td id=\"T_4e2a4_row15_col1\" class=\"data row15 col1\" >2.90</td>\n",
+ " <td id=\"T_4e2a4_row15_col2\" class=\"data row15 col2\" >25.68</td>\n",
+ " <td id=\"T_4e2a4_row15_col3\" class=\"data row15 col3\" >2.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_4e2a4_row16_col0\" class=\"data row16 col0\" >20.53</td>\n",
+ " <td id=\"T_4e2a4_row16_col1\" class=\"data row16 col1\" >2.56</td>\n",
+ " <td id=\"T_4e2a4_row16_col2\" class=\"data row16 col2\" >23.73</td>\n",
+ " <td id=\"T_4e2a4_row16_col3\" class=\"data row16 col3\" >2.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_4e2a4_row17_col0\" class=\"data row17 col0\" >13.36</td>\n",
+ " <td id=\"T_4e2a4_row17_col1\" class=\"data row17 col1\" >2.55</td>\n",
+ " <td id=\"T_4e2a4_row17_col2\" class=\"data row17 col2\" >17.26</td>\n",
+ " <td id=\"T_4e2a4_row17_col3\" class=\"data row17 col3\" >2.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_4e2a4_row18_col0\" class=\"data row18 col0\" >16.42</td>\n",
+ " <td id=\"T_4e2a4_row18_col1\" class=\"data row18 col1\" >2.67</td>\n",
+ " <td id=\"T_4e2a4_row18_col2\" class=\"data row18 col2\" >20.08</td>\n",
+ " <td id=\"T_4e2a4_row18_col3\" class=\"data row18 col3\" >2.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_4e2a4_row19_col0\" class=\"data row19 col0\" >37.77</td>\n",
+ " <td id=\"T_4e2a4_row19_col1\" class=\"data row19 col1\" >3.45</td>\n",
+ " <td id=\"T_4e2a4_row19_col2\" class=\"data row19 col2\" >23.11</td>\n",
+ " <td id=\"T_4e2a4_row19_col3\" class=\"data row19 col3\" >3.44</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_4e2a4_row20_col0\" class=\"data row20 col0\" >32.85</td>\n",
+ " <td id=\"T_4e2a4_row20_col1\" class=\"data row20 col1\" >2.67</td>\n",
+ " <td id=\"T_4e2a4_row20_col2\" class=\"data row20 col2\" >25.32</td>\n",
+ " <td id=\"T_4e2a4_row20_col3\" class=\"data row20 col3\" >3.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_4e2a4_row21_col0\" class=\"data row21 col0\" >22.58</td>\n",
+ " <td id=\"T_4e2a4_row21_col1\" class=\"data row21 col1\" >2.52</td>\n",
+ " <td id=\"T_4e2a4_row21_col2\" class=\"data row21 col2\" >18.27</td>\n",
+ " <td id=\"T_4e2a4_row21_col3\" class=\"data row21 col3\" >2.72</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_4e2a4_row22_col0\" class=\"data row22 col0\" >14.09</td>\n",
+ " <td id=\"T_4e2a4_row22_col1\" class=\"data row22 col1\" >2.32</td>\n",
+ " <td id=\"T_4e2a4_row22_col2\" class=\"data row22 col2\" >17.90</td>\n",
+ " <td id=\"T_4e2a4_row22_col3\" class=\"data row22 col3\" >2.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_4e2a4_row23_col0\" class=\"data row23 col0\" >18.50</td>\n",
+ " <td id=\"T_4e2a4_row23_col1\" class=\"data row23 col1\" >2.32</td>\n",
+ " <td id=\"T_4e2a4_row23_col2\" class=\"data row23 col2\" >23.44</td>\n",
+ " <td id=\"T_4e2a4_row23_col3\" class=\"data row23 col3\" >2.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_4e2a4_row24_col0\" class=\"data row24 col0\" >30.75</td>\n",
+ " <td id=\"T_4e2a4_row24_col1\" class=\"data row24 col1\" >2.68</td>\n",
+ " <td id=\"T_4e2a4_row24_col2\" class=\"data row24 col2\" >25.68</td>\n",
+ " <td id=\"T_4e2a4_row24_col3\" class=\"data row24 col3\" >3.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_4e2a4_row25_col0\" class=\"data row25 col0\" >10.87</td>\n",
+ " <td id=\"T_4e2a4_row25_col1\" class=\"data row25 col1\" >2.12</td>\n",
+ " <td id=\"T_4e2a4_row25_col2\" class=\"data row25 col2\" >15.68</td>\n",
+ " <td id=\"T_4e2a4_row25_col3\" class=\"data row25 col3\" >1.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_4e2a4_row26_col0\" class=\"data row26 col0\" >28.36</td>\n",
+ " <td id=\"T_4e2a4_row26_col1\" class=\"data row26 col1\" >2.98</td>\n",
+ " <td id=\"T_4e2a4_row26_col2\" class=\"data row26 col2\" >19.29</td>\n",
+ " <td id=\"T_4e2a4_row26_col3\" class=\"data row26 col3\" >3.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_4e2a4_row27_col0\" class=\"data row27 col0\" >18.10</td>\n",
+ " <td id=\"T_4e2a4_row27_col1\" class=\"data row27 col1\" >2.46</td>\n",
+ " <td id=\"T_4e2a4_row27_col2\" class=\"data row27 col2\" >23.82</td>\n",
+ " <td id=\"T_4e2a4_row27_col3\" class=\"data row27 col3\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_4e2a4_row28_col0\" class=\"data row28 col0\" >31.15</td>\n",
+ " <td id=\"T_4e2a4_row28_col1\" class=\"data row28 col1\" >3.16</td>\n",
+ " <td id=\"T_4e2a4_row28_col2\" class=\"data row28 col2\" >25.22</td>\n",
+ " <td id=\"T_4e2a4_row28_col3\" class=\"data row28 col3\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_4e2a4_row29_col0\" class=\"data row29 col0\" >11.02</td>\n",
+ " <td id=\"T_4e2a4_row29_col1\" class=\"data row29 col1\" >2.17</td>\n",
+ " <td id=\"T_4e2a4_row29_col2\" class=\"data row29 col2\" >15.79</td>\n",
+ " <td id=\"T_4e2a4_row29_col3\" class=\"data row29 col3\" >2.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_4e2a4_row30_col0\" class=\"data row30 col0\" >12.90</td>\n",
+ " <td id=\"T_4e2a4_row30_col1\" class=\"data row30 col1\" >2.30</td>\n",
+ " <td id=\"T_4e2a4_row30_col2\" class=\"data row30 col2\" >19.37</td>\n",
+ " <td id=\"T_4e2a4_row30_col3\" class=\"data row30 col3\" >2.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_4e2a4_row31_col0\" class=\"data row31 col0\" >33.02</td>\n",
+ " <td id=\"T_4e2a4_row31_col1\" class=\"data row31 col1\" >3.37</td>\n",
+ " <td id=\"T_4e2a4_row31_col2\" class=\"data row31 col2\" >24.07</td>\n",
+ " <td id=\"T_4e2a4_row31_col3\" class=\"data row31 col3\" >3.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_4e2a4_row32_col0\" class=\"data row32 col0\" >17.99</td>\n",
+ " <td id=\"T_4e2a4_row32_col1\" class=\"data row32 col1\" >2.31</td>\n",
+ " <td id=\"T_4e2a4_row32_col2\" class=\"data row32 col2\" >22.98</td>\n",
+ " <td id=\"T_4e2a4_row32_col3\" class=\"data row32 col3\" >2.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_4e2a4_row33_col0\" class=\"data row33 col0\" >22.73</td>\n",
+ " <td id=\"T_4e2a4_row33_col1\" class=\"data row33 col1\" >2.45</td>\n",
+ " <td id=\"T_4e2a4_row33_col2\" class=\"data row33 col2\" >17.76</td>\n",
+ " <td id=\"T_4e2a4_row33_col3\" class=\"data row33 col3\" >2.49</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_4e2a4_row34_col0\" class=\"data row34 col0\" >28.54</td>\n",
+ " <td id=\"T_4e2a4_row34_col1\" class=\"data row34 col1\" >3.42</td>\n",
+ " <td id=\"T_4e2a4_row34_col2\" class=\"data row34 col2\" >18.67</td>\n",
+ " <td id=\"T_4e2a4_row34_col3\" class=\"data row34 col3\" >3.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_4e2a4_row35_col0\" class=\"data row35 col0\" >18.66</td>\n",
+ " <td id=\"T_4e2a4_row35_col1\" class=\"data row35 col1\" >2.47</td>\n",
+ " <td id=\"T_4e2a4_row35_col2\" class=\"data row35 col2\" >24.48</td>\n",
+ " <td id=\"T_4e2a4_row35_col3\" class=\"data row35 col3\" >2.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_4e2a4_row36_col0\" class=\"data row36 col0\" >17.30</td>\n",
+ " <td id=\"T_4e2a4_row36_col1\" class=\"data row36 col1\" >2.26</td>\n",
+ " <td id=\"T_4e2a4_row36_col2\" class=\"data row36 col2\" >22.39</td>\n",
+ " <td id=\"T_4e2a4_row36_col3\" class=\"data row36 col3\" >2.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_4e2a4_row37_col0\" class=\"data row37 col0\" >22.38</td>\n",
+ " <td id=\"T_4e2a4_row37_col1\" class=\"data row37 col1\" >2.63</td>\n",
+ " <td id=\"T_4e2a4_row37_col2\" class=\"data row37 col2\" >17.26</td>\n",
+ " <td id=\"T_4e2a4_row37_col3\" class=\"data row37 col3\" >2.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_4e2a4_row38_col0\" class=\"data row38 col0\" >14.00</td>\n",
+ " <td id=\"T_4e2a4_row38_col1\" class=\"data row38 col1\" >2.31</td>\n",
+ " <td id=\"T_4e2a4_row38_col2\" class=\"data row38 col2\" >19.58</td>\n",
+ " <td id=\"T_4e2a4_row38_col3\" class=\"data row38 col3\" >2.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_4e2a4_row39_col0\" class=\"data row39 col0\" >34.39</td>\n",
+ " <td id=\"T_4e2a4_row39_col1\" class=\"data row39 col1\" >3.31</td>\n",
+ " <td id=\"T_4e2a4_row39_col2\" class=\"data row39 col2\" >24.86</td>\n",
+ " <td id=\"T_4e2a4_row39_col3\" class=\"data row39 col3\" >3.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_4e2a4_row40_col0\" class=\"data row40 col0\" >17.48</td>\n",
+ " <td id=\"T_4e2a4_row40_col1\" class=\"data row40 col1\" >2.59</td>\n",
+ " <td id=\"T_4e2a4_row40_col2\" class=\"data row40 col2\" >22.61</td>\n",
+ " <td id=\"T_4e2a4_row40_col3\" class=\"data row40 col3\" >2.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_4e2a4_row41_col0\" class=\"data row41 col0\" >11.44</td>\n",
+ " <td id=\"T_4e2a4_row41_col1\" class=\"data row41 col1\" >1.99</td>\n",
+ " <td id=\"T_4e2a4_row41_col2\" class=\"data row41 col2\" >16.05</td>\n",
+ " <td id=\"T_4e2a4_row41_col3\" class=\"data row41 col3\" >2.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_4e2a4_row42_col0\" class=\"data row42 col0\" >27.36</td>\n",
+ " <td id=\"T_4e2a4_row42_col1\" class=\"data row42 col1\" >3.02</td>\n",
+ " <td id=\"T_4e2a4_row42_col2\" class=\"data row42 col2\" >19.92</td>\n",
+ " <td id=\"T_4e2a4_row42_col3\" class=\"data row42 col3\" >2.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_4e2a4_row43_col0\" class=\"data row43 col0\" >32.23</td>\n",
+ " <td id=\"T_4e2a4_row43_col1\" class=\"data row43 col1\" >3.47</td>\n",
+ " <td id=\"T_4e2a4_row43_col2\" class=\"data row43 col2\" >25.71</td>\n",
+ " <td id=\"T_4e2a4_row43_col3\" class=\"data row43 col3\" >3.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_4e2a4_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_4e2a4_row44_col0\" class=\"data row44 col0\" >27.89</td>\n",
+ " <td id=\"T_4e2a4_row44_col1\" class=\"data row44 col1\" >2.95</td>\n",
+ " <td id=\"T_4e2a4_row44_col2\" class=\"data row44 col2\" >25.45</td>\n",
+ " <td id=\"T_4e2a4_row44_col3\" class=\"data row44 col3\" >3.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_4e2a4_row45_col0\" class=\"data row45 col0\" >19.21</td>\n",
+ " <td id=\"T_4e2a4_row45_col1\" class=\"data row45 col1\" >2.11</td>\n",
+ " <td id=\"T_4e2a4_row45_col2\" class=\"data row45 col2\" >17.39</td>\n",
+ " <td id=\"T_4e2a4_row45_col3\" class=\"data row45 col3\" >2.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_4e2a4_row46_col0\" class=\"data row46 col0\" >25.18</td>\n",
+ " <td id=\"T_4e2a4_row46_col1\" class=\"data row46 col1\" >2.69</td>\n",
+ " <td id=\"T_4e2a4_row46_col2\" class=\"data row46 col2\" >19.03</td>\n",
+ " <td id=\"T_4e2a4_row46_col3\" class=\"data row46 col3\" >3.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_4e2a4_row47_col0\" class=\"data row47 col0\" >15.18</td>\n",
+ " <td id=\"T_4e2a4_row47_col1\" class=\"data row47 col1\" >2.33</td>\n",
+ " <td id=\"T_4e2a4_row47_col2\" class=\"data row47 col2\" >22.15</td>\n",
+ " <td id=\"T_4e2a4_row47_col3\" class=\"data row47 col3\" >2.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_4e2a4_row48_col0\" class=\"data row48 col0\" >28.57</td>\n",
+ " <td id=\"T_4e2a4_row48_col1\" class=\"data row48 col1\" >2.71</td>\n",
+ " <td id=\"T_4e2a4_row48_col2\" class=\"data row48 col2\" >24.75</td>\n",
+ " <td id=\"T_4e2a4_row48_col3\" class=\"data row48 col3\" >3.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_4e2a4_row49_col0\" class=\"data row49 col0\" >19.05</td>\n",
+ " <td id=\"T_4e2a4_row49_col1\" class=\"data row49 col1\" >2.11</td>\n",
+ " <td id=\"T_4e2a4_row49_col2\" class=\"data row49 col2\" >17.80</td>\n",
+ " <td id=\"T_4e2a4_row49_col3\" class=\"data row49 col3\" >2.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_4e2a4_row50_col0\" class=\"data row50 col0\" >10.43</td>\n",
+ " <td id=\"T_4e2a4_row50_col1\" class=\"data row50 col1\" >1.89</td>\n",
+ " <td id=\"T_4e2a4_row50_col2\" class=\"data row50 col2\" >16.79</td>\n",
+ " <td id=\"T_4e2a4_row50_col3\" class=\"data row50 col3\" >2.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_4e2a4_row51_col0\" class=\"data row51 col0\" >29.85</td>\n",
+ " <td id=\"T_4e2a4_row51_col1\" class=\"data row51 col1\" >2.93</td>\n",
+ " <td id=\"T_4e2a4_row51_col2\" class=\"data row51 col2\" >24.83</td>\n",
+ " <td id=\"T_4e2a4_row51_col3\" class=\"data row51 col3\" >3.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_4e2a4_row52_col0\" class=\"data row52 col0\" >26.39</td>\n",
+ " <td id=\"T_4e2a4_row52_col1\" class=\"data row52 col1\" >2.82</td>\n",
+ " <td id=\"T_4e2a4_row52_col2\" class=\"data row52 col2\" >24.54</td>\n",
+ " <td id=\"T_4e2a4_row52_col3\" class=\"data row52 col3\" >3.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_4e2a4_row53_col0\" class=\"data row53 col0\" >9.54</td>\n",
+ " <td id=\"T_4e2a4_row53_col1\" class=\"data row53 col1\" >2.03</td>\n",
+ " <td id=\"T_4e2a4_row53_col2\" class=\"data row53 col2\" >14.57</td>\n",
+ " <td id=\"T_4e2a4_row53_col3\" class=\"data row53 col3\" >2.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_4e2a4_row54_col0\" class=\"data row54 col0\" >23.92</td>\n",
+ " <td id=\"T_4e2a4_row54_col1\" class=\"data row54 col1\" >2.79</td>\n",
+ " <td id=\"T_4e2a4_row54_col2\" class=\"data row54 col2\" >20.06</td>\n",
+ " <td id=\"T_4e2a4_row54_col3\" class=\"data row54 col3\" >2.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_4e2a4_row55_col0\" class=\"data row55 col0\" >28.26</td>\n",
+ " <td id=\"T_4e2a4_row55_col1\" class=\"data row55 col1\" >2.84</td>\n",
+ " <td id=\"T_4e2a4_row55_col2\" class=\"data row55 col2\" >24.97</td>\n",
+ " <td id=\"T_4e2a4_row55_col3\" class=\"data row55 col3\" >3.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_4e2a4_row56_col0\" class=\"data row56 col0\" >14.82</td>\n",
+ " <td id=\"T_4e2a4_row56_col1\" class=\"data row56 col1\" >2.77</td>\n",
+ " <td id=\"T_4e2a4_row56_col2\" class=\"data row56 col2\" >21.02</td>\n",
+ " <td id=\"T_4e2a4_row56_col3\" class=\"data row56 col3\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_4e2a4_row57_col0\" class=\"data row57 col0\" >18.85</td>\n",
+ " <td id=\"T_4e2a4_row57_col1\" class=\"data row57 col1\" >2.36</td>\n",
+ " <td id=\"T_4e2a4_row57_col2\" class=\"data row57 col2\" >17.24</td>\n",
+ " <td id=\"T_4e2a4_row57_col3\" class=\"data row57 col3\" >2.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_4e2a4_row58_col0\" class=\"data row58 col0\" >25.23</td>\n",
+ " <td id=\"T_4e2a4_row58_col1\" class=\"data row58 col1\" >3.05</td>\n",
+ " <td id=\"T_4e2a4_row58_col2\" class=\"data row58 col2\" >20.38</td>\n",
+ " <td id=\"T_4e2a4_row58_col3\" class=\"data row58 col3\" >3.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_4e2a4_row59_col0\" class=\"data row59 col0\" >29.31</td>\n",
+ " <td id=\"T_4e2a4_row59_col1\" class=\"data row59 col1\" >3.11</td>\n",
+ " <td id=\"T_4e2a4_row59_col2\" class=\"data row59 col2\" >25.47</td>\n",
+ " <td id=\"T_4e2a4_row59_col3\" class=\"data row59 col3\" >3.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_4e2a4_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_4e2a4_row60_col0\" class=\"data row60 col0\" >24.29</td>\n",
+ " <td id=\"T_4e2a4_row60_col1\" class=\"data row60 col1\" >2.31</td>\n",
+ " <td id=\"T_4e2a4_row60_col2\" class=\"data row60 col2\" >23.71</td>\n",
+ " <td id=\"T_4e2a4_row60_col3\" class=\"data row60 col3\" >2.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_4e2a4_row61_col0\" class=\"data row61 col0\" >15.79</td>\n",
+ " <td id=\"T_4e2a4_row61_col1\" class=\"data row61 col1\" >2.22</td>\n",
+ " <td id=\"T_4e2a4_row61_col2\" class=\"data row61 col2\" >16.63</td>\n",
+ " <td id=\"T_4e2a4_row61_col3\" class=\"data row61 col3\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_4e2a4_row62_col0\" class=\"data row62 col0\" >22.49</td>\n",
+ " <td id=\"T_4e2a4_row62_col1\" class=\"data row62 col1\" >2.29</td>\n",
+ " <td id=\"T_4e2a4_row62_col2\" class=\"data row62 col2\" >19.09</td>\n",
+ " <td id=\"T_4e2a4_row62_col3\" class=\"data row62 col3\" >2.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4e2a4_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_4e2a4_row63_col0\" class=\"data row63 col0\" >25.30</td>\n",
+ " <td id=\"T_4e2a4_row63_col1\" class=\"data row63 col1\" >2.64</td>\n",
+ " <td id=\"T_4e2a4_row63_col2\" class=\"data row63 col2\" >24.54</td>\n",
+ " <td id=\"T_4e2a4_row63_col3\" class=\"data row63 col3\" >2.96</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfd3b3d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_7f3f0 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7f3f0 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7f3f0_row0_col0, #T_7f3f0_row15_col0 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row0_col2, #T_7f3f0_row15_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row1_col0 {\n",
+ " background-color: #3efe3e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row1_col2, #T_7f3f0_row10_col0 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row2_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row2_col2 {\n",
+ " background-color: #d6f4d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row3_col0 {\n",
+ " background-color: #5bfc5b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row3_col2 {\n",
+ " background-color: #dcf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row4_col0, #T_7f3f0_row7_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row4_col2 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row5_col0 {\n",
+ " background-color: #8af98a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row5_col2 {\n",
+ " background-color: #50fd50;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row6_col0 {\n",
+ " background-color: #7ffa7f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row6_col2 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row7_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row8_col0 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row8_col2, #T_7f3f0_row11_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row9_col0 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row9_col2 {\n",
+ " background-color: #d0f5d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row10_col2 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row11_col2 {\n",
+ " background-color: #d8f4d8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row12_col0 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row12_col2 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row13_col0 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row13_col2 {\n",
+ " background-color: #c5f5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row14_col0 {\n",
+ " background-color: #6afb6a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7f3f0_row14_col2 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_7f3f0\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_7f3f0_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_7f3f0_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_7f3f0_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_7f3f0_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_7f3f0_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_7f3f0_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_7f3f0_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_7f3f0_row0_col0\" class=\"data row0 col0\" >87.87</td>\n",
+ " <td id=\"T_7f3f0_row0_col1\" class=\"data row0 col1\" >2.94</td>\n",
+ " <td id=\"T_7f3f0_row0_col2\" class=\"data row0 col2\" >83.98</td>\n",
+ " <td id=\"T_7f3f0_row0_col3\" class=\"data row0 col3\" >3.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_7f3f0_row1_col0\" class=\"data row1 col0\" >88.46</td>\n",
+ " <td id=\"T_7f3f0_row1_col1\" class=\"data row1 col1\" >2.98</td>\n",
+ " <td id=\"T_7f3f0_row1_col2\" class=\"data row1 col2\" >85.12</td>\n",
+ " <td id=\"T_7f3f0_row1_col3\" class=\"data row1 col3\" >3.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_7f3f0_row2_col0\" class=\"data row2 col0\" >88.11</td>\n",
+ " <td id=\"T_7f3f0_row2_col1\" class=\"data row2 col1\" >3.04</td>\n",
+ " <td id=\"T_7f3f0_row2_col2\" class=\"data row2 col2\" >84.03</td>\n",
+ " <td id=\"T_7f3f0_row2_col3\" class=\"data row2 col3\" >3.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_7f3f0_row3_col0\" class=\"data row3 col0\" >88.29</td>\n",
+ " <td id=\"T_7f3f0_row3_col1\" class=\"data row3 col1\" >2.97</td>\n",
+ " <td id=\"T_7f3f0_row3_col2\" class=\"data row3 col2\" >84.00</td>\n",
+ " <td id=\"T_7f3f0_row3_col3\" class=\"data row3 col3\" >3.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_7f3f0_row4_col0\" class=\"data row4 col0\" >88.09</td>\n",
+ " <td id=\"T_7f3f0_row4_col1\" class=\"data row4 col1\" >2.96</td>\n",
+ " <td id=\"T_7f3f0_row4_col2\" class=\"data row4 col2\" >84.17</td>\n",
+ " <td id=\"T_7f3f0_row4_col3\" class=\"data row4 col3\" >4.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_7f3f0_row5_col0\" class=\"data row5 col0\" >88.02</td>\n",
+ " <td id=\"T_7f3f0_row5_col1\" class=\"data row5 col1\" >2.84</td>\n",
+ " <td id=\"T_7f3f0_row5_col2\" class=\"data row5 col2\" >84.93</td>\n",
+ " <td id=\"T_7f3f0_row5_col3\" class=\"data row5 col3\" >3.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_7f3f0_row6_col0\" class=\"data row6 col0\" >88.08</td>\n",
+ " <td id=\"T_7f3f0_row6_col1\" class=\"data row6 col1\" >2.80</td>\n",
+ " <td id=\"T_7f3f0_row6_col2\" class=\"data row6 col2\" >84.47</td>\n",
+ " <td id=\"T_7f3f0_row6_col3\" class=\"data row6 col3\" >3.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_7f3f0_row7_col0\" class=\"data row7 col0\" >88.09</td>\n",
+ " <td id=\"T_7f3f0_row7_col1\" class=\"data row7 col1\" >3.02</td>\n",
+ " <td id=\"T_7f3f0_row7_col2\" class=\"data row7 col2\" >84.45</td>\n",
+ " <td id=\"T_7f3f0_row7_col3\" class=\"data row7 col3\" >3.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_7f3f0_row8_col0\" class=\"data row8 col0\" >87.92</td>\n",
+ " <td id=\"T_7f3f0_row8_col1\" class=\"data row8 col1\" >2.92</td>\n",
+ " <td id=\"T_7f3f0_row8_col2\" class=\"data row8 col2\" >83.89</td>\n",
+ " <td id=\"T_7f3f0_row8_col3\" class=\"data row8 col3\" >3.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_7f3f0_row9_col0\" class=\"data row9 col0\" >88.06</td>\n",
+ " <td id=\"T_7f3f0_row9_col1\" class=\"data row9 col1\" >3.00</td>\n",
+ " <td id=\"T_7f3f0_row9_col2\" class=\"data row9 col2\" >84.08</td>\n",
+ " <td id=\"T_7f3f0_row9_col3\" class=\"data row9 col3\" >3.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_7f3f0_row10_col0\" class=\"data row10 col0\" >88.52</td>\n",
+ " <td id=\"T_7f3f0_row10_col1\" class=\"data row10 col1\" >2.90</td>\n",
+ " <td id=\"T_7f3f0_row10_col2\" class=\"data row10 col2\" >84.29</td>\n",
+ " <td id=\"T_7f3f0_row10_col3\" class=\"data row10 col3\" >3.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_7f3f0_row11_col0\" class=\"data row11 col0\" >87.46</td>\n",
+ " <td id=\"T_7f3f0_row11_col1\" class=\"data row11 col1\" >2.98</td>\n",
+ " <td id=\"T_7f3f0_row11_col2\" class=\"data row11 col2\" >84.02</td>\n",
+ " <td id=\"T_7f3f0_row11_col3\" class=\"data row11 col3\" >3.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_7f3f0_row12_col0\" class=\"data row12 col0\" >87.90</td>\n",
+ " <td id=\"T_7f3f0_row12_col1\" class=\"data row12 col1\" >3.07</td>\n",
+ " <td id=\"T_7f3f0_row12_col2\" class=\"data row12 col2\" >84.18</td>\n",
+ " <td id=\"T_7f3f0_row12_col3\" class=\"data row12 col3\" >3.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_7f3f0_row13_col0\" class=\"data row13 col0\" >88.11</td>\n",
+ " <td id=\"T_7f3f0_row13_col1\" class=\"data row13 col1\" >2.75</td>\n",
+ " <td id=\"T_7f3f0_row13_col2\" class=\"data row13 col2\" >84.15</td>\n",
+ " <td id=\"T_7f3f0_row13_col3\" class=\"data row13 col3\" >3.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_7f3f0_row14_col0\" class=\"data row14 col0\" >88.21</td>\n",
+ " <td id=\"T_7f3f0_row14_col1\" class=\"data row14 col1\" >2.83</td>\n",
+ " <td id=\"T_7f3f0_row14_col2\" class=\"data row14 col2\" >84.11</td>\n",
+ " <td id=\"T_7f3f0_row14_col3\" class=\"data row14 col3\" >3.49</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7f3f0_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_7f3f0_row15_col0\" class=\"data row15 col0\" >87.87</td>\n",
+ " <td id=\"T_7f3f0_row15_col1\" class=\"data row15 col1\" >2.94</td>\n",
+ " <td id=\"T_7f3f0_row15_col2\" class=\"data row15 col2\" >83.98</td>\n",
+ " <td id=\"T_7f3f0_row15_col3\" class=\"data row15 col3\" >3.46</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x71512535cf10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_bidded(\"large\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_d8d9c td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_d8d9c th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_d8d9c_row0_col0, #T_d8d9c_row60_col0 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row0_col2, #T_d8d9c_row2_col2, #T_d8d9c_row60_col2, #T_d8d9c_row62_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row0_col4, #T_d8d9c_row60_col4 {\n",
+ " background-color: #f5cccc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row1_col0, #T_d8d9c_row44_col0, #T_d8d9c_row61_col0 {\n",
+ " background-color: #52fd52;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row1_col2, #T_d8d9c_row61_col2 {\n",
+ " background-color: #39ff39;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row1_col4, #T_d8d9c_row38_col4, #T_d8d9c_row61_col4 {\n",
+ " background-color: #f5cbcb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row2_col0, #T_d8d9c_row59_col2, #T_d8d9c_row62_col0 {\n",
+ " background-color: #4efd4e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row2_col4, #T_d8d9c_row62_col4 {\n",
+ " background-color: #f5c0c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row3_col0, #T_d8d9c_row3_col2, #T_d8d9c_row63_col0, #T_d8d9c_row63_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row3_col4, #T_d8d9c_row63_col4 {\n",
+ " background-color: #f4cfcf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row4_col0 {\n",
+ " background-color: #98f898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row4_col2 {\n",
+ " background-color: #b7f6b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row4_col4 {\n",
+ " background-color: #fc4343;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row5_col0, #T_d8d9c_row42_col2 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row5_col2, #T_d8d9c_row53_col2 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row5_col4, #T_d8d9c_row29_col4 {\n",
+ " background-color: #f3efef;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row6_col0 {\n",
+ " background-color: #99f899;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row6_col2 {\n",
+ " background-color: #6cfb6c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row6_col4 {\n",
+ " background-color: #f5c6c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row7_col0 {\n",
+ " background-color: #64fc64;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row7_col2, #T_d8d9c_row17_col2 {\n",
+ " background-color: #50fd50;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row7_col4, #T_d8d9c_row13_col4, #T_d8d9c_row17_col4 {\n",
+ " background-color: #f4d4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row8_col0, #T_d8d9c_row22_col2 {\n",
+ " background-color: #5bfc5b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row8_col2, #T_d8d9c_row36_col0 {\n",
+ " background-color: #72fb72;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row8_col4 {\n",
+ " background-color: #f5c7c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row9_col0 {\n",
+ " background-color: #e8f3e8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row9_col2, #T_d8d9c_row33_col0 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row9_col4 {\n",
+ " background-color: #fd2727;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row10_col0 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row10_col2 {\n",
+ " background-color: #66fc66;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row10_col4 {\n",
+ " background-color: #f5bebe;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row11_col0, #T_d8d9c_row15_col2, #T_d8d9c_row38_col2, #T_d8d9c_row58_col2 {\n",
+ " background-color: #62fc62;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row11_col2 {\n",
+ " background-color: #5afc5a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row11_col4, #T_d8d9c_row15_col4, #T_d8d9c_row41_col4 {\n",
+ " background-color: #f4dada;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row12_col0, #T_d8d9c_row27_col0, #T_d8d9c_row35_col0, #T_d8d9c_row46_col0 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row12_col2, #T_d8d9c_row50_col2 {\n",
+ " background-color: #61fc61;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row12_col4, #T_d8d9c_row16_col4 {\n",
+ " background-color: #f4d2d2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row13_col0, #T_d8d9c_row22_col0 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row13_col2, #T_d8d9c_row48_col2, #T_d8d9c_row59_col0 {\n",
+ " background-color: #4ffd4f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row14_col0, #T_d8d9c_row14_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row14_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row15_col0, #T_d8d9c_row44_col2 {\n",
+ " background-color: #60fc60;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row16_col0, #T_d8d9c_row28_col0, #T_d8d9c_row49_col0 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row16_col2 {\n",
+ " background-color: #58fd58;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row17_col0, #T_d8d9c_row18_col0, #T_d8d9c_row41_col0 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row18_col2, #T_d8d9c_row37_col2, #T_d8d9c_row39_col2, #T_d8d9c_row57_col0 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row18_col4 {\n",
+ " background-color: #f5c1c1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row19_col0, #T_d8d9c_row34_col2 {\n",
+ " background-color: #a0f8a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row19_col2 {\n",
+ " background-color: #c4f5c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row19_col4 {\n",
+ " background-color: #fd3131;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row20_col0 {\n",
+ " background-color: #75fb75;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row20_col2 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row20_col4, #T_d8d9c_row39_col4 {\n",
+ " background-color: #f96e6e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row21_col0 {\n",
+ " background-color: #9df89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row21_col2, #T_d8d9c_row27_col2, #T_d8d9c_row41_col2 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row21_col4 {\n",
+ " background-color: #f88383;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row22_col4 {\n",
+ " background-color: #f4d5d5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row23_col0 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row23_col2, #T_d8d9c_row51_col0 {\n",
+ " background-color: #4afe4a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row23_col4 {\n",
+ " background-color: #f3eaea;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row24_col0 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row24_col2, #T_d8d9c_row32_col2, #T_d8d9c_row56_col0 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row24_col4 {\n",
+ " background-color: #f88f8f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row25_col0, #T_d8d9c_row26_col2 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row25_col2 {\n",
+ " background-color: #45fe45;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row25_col4 {\n",
+ " background-color: #f3eeee;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row26_col0 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row26_col4 {\n",
+ " background-color: #fa6262;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row27_col4 {\n",
+ " background-color: #f3e4e4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row28_col2, #T_d8d9c_row46_col2 {\n",
+ " background-color: #67fc67;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row28_col4 {\n",
+ " background-color: #f88b8b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row29_col0 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row29_col2, #T_d8d9c_row52_col0, #T_d8d9c_row52_col2 {\n",
+ " background-color: #47fe47;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row30_col0 {\n",
+ " background-color: #9bf89b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row30_col2 {\n",
+ " background-color: #68fc68;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row30_col4 {\n",
+ " background-color: #f4d0d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row31_col0 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row31_col2, #T_d8d9c_row32_col0 {\n",
+ " background-color: #70fb70;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row31_col4 {\n",
+ " background-color: #f97373;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row32_col4 {\n",
+ " background-color: #f4d3d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row33_col2 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row33_col4 {\n",
+ " background-color: #f97272;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row34_col0 {\n",
+ " background-color: #abf7ab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row34_col4 {\n",
+ " background-color: #fb4949;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row35_col2, #T_d8d9c_row36_col2 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row35_col4 {\n",
+ " background-color: #f3e3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row36_col4 {\n",
+ " background-color: #f4d7d7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row37_col0, #T_d8d9c_row38_col0 {\n",
+ " background-color: #a3f8a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row37_col4 {\n",
+ " background-color: #fa6c6c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row39_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row40_col0, #T_d8d9c_row43_col0 {\n",
+ " background-color: #6afb6a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row40_col2, #T_d8d9c_row56_col2 {\n",
+ " background-color: #57fd57;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row40_col4 {\n",
+ " background-color: #f4d8d8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row42_col0 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row42_col4 {\n",
+ " background-color: #f96d6d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row43_col2, #T_d8d9c_row45_col0, #T_d8d9c_row58_col0 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row43_col4 {\n",
+ " background-color: #f88585;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row44_col4 {\n",
+ " background-color: #f7a4a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row45_col2, #T_d8d9c_row49_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row45_col4 {\n",
+ " background-color: #f6b2b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row46_col4 {\n",
+ " background-color: #f88888;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d8d9c_row47_col0 {\n",
+ " background-color: #6bfb6b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row47_col2, #T_d8d9c_row55_col2 {\n",
+ " background-color: #4cfd4c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row47_col4 {\n",
+ " background-color: #f3ebeb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row48_col0 {\n",
+ " background-color: #51fd51;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row48_col4 {\n",
+ " background-color: #f7a7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row49_col4 {\n",
+ " background-color: #f6a9a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row50_col0 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row50_col4 {\n",
+ " background-color: #f4d6d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row51_col2 {\n",
+ " background-color: #49fe49;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row51_col4, #T_d8d9c_row54_col4 {\n",
+ " background-color: #f7a1a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row52_col4 {\n",
+ " background-color: #f6b9b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row53_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row53_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row54_col0 {\n",
+ " background-color: #7bfa7b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row54_col2 {\n",
+ " background-color: #4dfd4d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row55_col0 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row55_col4 {\n",
+ " background-color: #f6b3b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row56_col4 {\n",
+ " background-color: #f4dcdc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row57_col2 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row57_col4 {\n",
+ " background-color: #f79898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row58_col4 {\n",
+ " background-color: #f79c9c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d8d9c_row59_col4 {\n",
+ " background-color: #f6afaf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_d8d9c\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_d8d9c_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_d8d9c_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_d8d9c_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_d8d9c_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_d8d9c_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_d8d9c_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_d8d9c_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_d8d9c_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_d8d9c_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_d8d9c_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_d8d9c_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_d8d9c_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_d8d9c_row0_col0\" class=\"data row0 col0\" >91.19</td>\n",
+ " <td id=\"T_d8d9c_row0_col1\" class=\"data row0 col1\" >3.01</td>\n",
+ " <td id=\"T_d8d9c_row0_col2\" class=\"data row0 col2\" >98.38</td>\n",
+ " <td id=\"T_d8d9c_row0_col3\" class=\"data row0 col3\" >1.95</td>\n",
+ " <td id=\"T_d8d9c_row0_col4\" class=\"data row0 col4\" >1.48</td>\n",
+ " <td id=\"T_d8d9c_row0_col5\" class=\"data row0 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_d8d9c_row1_col0\" class=\"data row1 col0\" >90.20</td>\n",
+ " <td id=\"T_d8d9c_row1_col1\" class=\"data row1 col1\" >4.41</td>\n",
+ " <td id=\"T_d8d9c_row1_col2\" class=\"data row1 col2\" >98.60</td>\n",
+ " <td id=\"T_d8d9c_row1_col3\" class=\"data row1 col3\" >2.94</td>\n",
+ " <td id=\"T_d8d9c_row1_col4\" class=\"data row1 col4\" >1.48</td>\n",
+ " <td id=\"T_d8d9c_row1_col5\" class=\"data row1 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_d8d9c_row2_col0\" class=\"data row2 col0\" >90.41</td>\n",
+ " <td id=\"T_d8d9c_row2_col1\" class=\"data row2 col1\" >3.46</td>\n",
+ " <td id=\"T_d8d9c_row2_col2\" class=\"data row2 col2\" >98.34</td>\n",
+ " <td id=\"T_d8d9c_row2_col3\" class=\"data row2 col3\" >2.05</td>\n",
+ " <td id=\"T_d8d9c_row2_col4\" class=\"data row2 col4\" >1.53</td>\n",
+ " <td id=\"T_d8d9c_row2_col5\" class=\"data row2 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_d8d9c_row3_col0\" class=\"data row3 col0\" >91.74</td>\n",
+ " <td id=\"T_d8d9c_row3_col1\" class=\"data row3 col1\" >3.31</td>\n",
+ " <td id=\"T_d8d9c_row3_col2\" class=\"data row3 col2\" >98.94</td>\n",
+ " <td id=\"T_d8d9c_row3_col3\" class=\"data row3 col3\" >1.47</td>\n",
+ " <td id=\"T_d8d9c_row3_col4\" class=\"data row3 col4\" >1.47</td>\n",
+ " <td id=\"T_d8d9c_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_d8d9c_row4_col0\" class=\"data row4 col0\" >86.57</td>\n",
+ " <td id=\"T_d8d9c_row4_col1\" class=\"data row4 col1\" >4.14</td>\n",
+ " <td id=\"T_d8d9c_row4_col2\" class=\"data row4 col2\" >90.90</td>\n",
+ " <td id=\"T_d8d9c_row4_col3\" class=\"data row4 col3\" >3.89</td>\n",
+ " <td id=\"T_d8d9c_row4_col4\" class=\"data row4 col4\" >2.04</td>\n",
+ " <td id=\"T_d8d9c_row4_col5\" class=\"data row4 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_d8d9c_row5_col0\" class=\"data row5 col0\" >87.44</td>\n",
+ " <td id=\"T_d8d9c_row5_col1\" class=\"data row5 col1\" >4.12</td>\n",
+ " <td id=\"T_d8d9c_row5_col2\" class=\"data row5 col2\" >98.19</td>\n",
+ " <td id=\"T_d8d9c_row5_col3\" class=\"data row5 col3\" >3.62</td>\n",
+ " <td id=\"T_d8d9c_row5_col4\" class=\"data row5 col4\" >1.33</td>\n",
+ " <td id=\"T_d8d9c_row5_col5\" class=\"data row5 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_d8d9c_row6_col0\" class=\"data row6 col0\" >86.54</td>\n",
+ " <td id=\"T_d8d9c_row6_col1\" class=\"data row6 col1\" >3.65</td>\n",
+ " <td id=\"T_d8d9c_row6_col2\" class=\"data row6 col2\" >95.51</td>\n",
+ " <td id=\"T_d8d9c_row6_col3\" class=\"data row6 col3\" >5.05</td>\n",
+ " <td id=\"T_d8d9c_row6_col4\" class=\"data row6 col4\" >1.50</td>\n",
+ " <td id=\"T_d8d9c_row6_col5\" class=\"data row6 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_d8d9c_row7_col0\" class=\"data row7 col0\" >89.27</td>\n",
+ " <td id=\"T_d8d9c_row7_col1\" class=\"data row7 col1\" >2.80</td>\n",
+ " <td id=\"T_d8d9c_row7_col2\" class=\"data row7 col2\" >97.21</td>\n",
+ " <td id=\"T_d8d9c_row7_col3\" class=\"data row7 col3\" >3.23</td>\n",
+ " <td id=\"T_d8d9c_row7_col4\" class=\"data row7 col4\" >1.44</td>\n",
+ " <td id=\"T_d8d9c_row7_col5\" class=\"data row7 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_d8d9c_row8_col0\" class=\"data row8 col0\" >89.75</td>\n",
+ " <td id=\"T_d8d9c_row8_col1\" class=\"data row8 col1\" >3.01</td>\n",
+ " <td id=\"T_d8d9c_row8_col2\" class=\"data row8 col2\" >95.17</td>\n",
+ " <td id=\"T_d8d9c_row8_col3\" class=\"data row8 col3\" >4.84</td>\n",
+ " <td id=\"T_d8d9c_row8_col4\" class=\"data row8 col4\" >1.50</td>\n",
+ " <td id=\"T_d8d9c_row8_col5\" class=\"data row8 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_d8d9c_row9_col0\" class=\"data row9 col0\" >82.49</td>\n",
+ " <td id=\"T_d8d9c_row9_col1\" class=\"data row9 col1\" >6.23</td>\n",
+ " <td id=\"T_d8d9c_row9_col2\" class=\"data row9 col2\" >91.10</td>\n",
+ " <td id=\"T_d8d9c_row9_col3\" class=\"data row9 col3\" >5.11</td>\n",
+ " <td id=\"T_d8d9c_row9_col4\" class=\"data row9 col4\" >2.16</td>\n",
+ " <td id=\"T_d8d9c_row9_col5\" class=\"data row9 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_d8d9c_row10_col0\" class=\"data row10 col0\" >86.28</td>\n",
+ " <td id=\"T_d8d9c_row10_col1\" class=\"data row10 col1\" >3.64</td>\n",
+ " <td id=\"T_d8d9c_row10_col2\" class=\"data row10 col2\" >95.85</td>\n",
+ " <td id=\"T_d8d9c_row10_col3\" class=\"data row10 col3\" >5.13</td>\n",
+ " <td id=\"T_d8d9c_row10_col4\" class=\"data row10 col4\" >1.54</td>\n",
+ " <td id=\"T_d8d9c_row10_col5\" class=\"data row10 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_d8d9c_row11_col0\" class=\"data row11 col0\" >89.37</td>\n",
+ " <td id=\"T_d8d9c_row11_col1\" class=\"data row11 col1\" >3.20</td>\n",
+ " <td id=\"T_d8d9c_row11_col2\" class=\"data row11 col2\" >96.59</td>\n",
+ " <td id=\"T_d8d9c_row11_col3\" class=\"data row11 col3\" >4.38</td>\n",
+ " <td id=\"T_d8d9c_row11_col4\" class=\"data row11 col4\" >1.42</td>\n",
+ " <td id=\"T_d8d9c_row11_col5\" class=\"data row11 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_d8d9c_row12_col0\" class=\"data row12 col0\" >88.80</td>\n",
+ " <td id=\"T_d8d9c_row12_col1\" class=\"data row12 col1\" >3.24</td>\n",
+ " <td id=\"T_d8d9c_row12_col2\" class=\"data row12 col2\" >96.14</td>\n",
+ " <td id=\"T_d8d9c_row12_col3\" class=\"data row12 col3\" >4.10</td>\n",
+ " <td id=\"T_d8d9c_row12_col4\" class=\"data row12 col4\" >1.45</td>\n",
+ " <td id=\"T_d8d9c_row12_col5\" class=\"data row12 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_d8d9c_row13_col0\" class=\"data row13 col0\" >86.78</td>\n",
+ " <td id=\"T_d8d9c_row13_col1\" class=\"data row13 col1\" >5.04</td>\n",
+ " <td id=\"T_d8d9c_row13_col2\" class=\"data row13 col2\" >97.26</td>\n",
+ " <td id=\"T_d8d9c_row13_col3\" class=\"data row13 col3\" >4.84</td>\n",
+ " <td id=\"T_d8d9c_row13_col4\" class=\"data row13 col4\" >1.45</td>\n",
+ " <td id=\"T_d8d9c_row13_col5\" class=\"data row13 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_d8d9c_row14_col0\" class=\"data row14 col0\" >82.35</td>\n",
+ " <td id=\"T_d8d9c_row14_col1\" class=\"data row14 col1\" >5.58</td>\n",
+ " <td id=\"T_d8d9c_row14_col2\" class=\"data row14 col2\" >87.70</td>\n",
+ " <td id=\"T_d8d9c_row14_col3\" class=\"data row14 col3\" >5.20</td>\n",
+ " <td id=\"T_d8d9c_row14_col4\" class=\"data row14 col4\" >2.32</td>\n",
+ " <td id=\"T_d8d9c_row14_col5\" class=\"data row14 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_d8d9c_row15_col0\" class=\"data row15 col0\" >89.51</td>\n",
+ " <td id=\"T_d8d9c_row15_col1\" class=\"data row15 col1\" >2.91</td>\n",
+ " <td id=\"T_d8d9c_row15_col2\" class=\"data row15 col2\" >96.10</td>\n",
+ " <td id=\"T_d8d9c_row15_col3\" class=\"data row15 col3\" >5.76</td>\n",
+ " <td id=\"T_d8d9c_row15_col4\" class=\"data row15 col4\" >1.42</td>\n",
+ " <td id=\"T_d8d9c_row15_col5\" class=\"data row15 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_d8d9c_row16_col0\" class=\"data row16 col0\" >88.70</td>\n",
+ " <td id=\"T_d8d9c_row16_col1\" class=\"data row16 col1\" >3.29</td>\n",
+ " <td id=\"T_d8d9c_row16_col2\" class=\"data row16 col2\" >96.72</td>\n",
+ " <td id=\"T_d8d9c_row16_col3\" class=\"data row16 col3\" >3.59</td>\n",
+ " <td id=\"T_d8d9c_row16_col4\" class=\"data row16 col4\" >1.45</td>\n",
+ " <td id=\"T_d8d9c_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_d8d9c_row17_col0\" class=\"data row17 col0\" >87.04</td>\n",
+ " <td id=\"T_d8d9c_row17_col1\" class=\"data row17 col1\" >4.46</td>\n",
+ " <td id=\"T_d8d9c_row17_col2\" class=\"data row17 col2\" >97.23</td>\n",
+ " <td id=\"T_d8d9c_row17_col3\" class=\"data row17 col3\" >6.19</td>\n",
+ " <td id=\"T_d8d9c_row17_col4\" class=\"data row17 col4\" >1.45</td>\n",
+ " <td id=\"T_d8d9c_row17_col5\" class=\"data row17 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_d8d9c_row18_col0\" class=\"data row18 col0\" >87.05</td>\n",
+ " <td id=\"T_d8d9c_row18_col1\" class=\"data row18 col1\" >3.42</td>\n",
+ " <td id=\"T_d8d9c_row18_col2\" class=\"data row18 col2\" >94.54</td>\n",
+ " <td id=\"T_d8d9c_row18_col3\" class=\"data row18 col3\" >6.89</td>\n",
+ " <td id=\"T_d8d9c_row18_col4\" class=\"data row18 col4\" >1.52</td>\n",
+ " <td id=\"T_d8d9c_row18_col5\" class=\"data row18 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_d8d9c_row19_col0\" class=\"data row19 col0\" >86.18</td>\n",
+ " <td id=\"T_d8d9c_row19_col1\" class=\"data row19 col1\" >4.36</td>\n",
+ " <td id=\"T_d8d9c_row19_col2\" class=\"data row19 col2\" >90.10</td>\n",
+ " <td id=\"T_d8d9c_row19_col3\" class=\"data row19 col3\" >4.98</td>\n",
+ " <td id=\"T_d8d9c_row19_col4\" class=\"data row19 col4\" >2.12</td>\n",
+ " <td id=\"T_d8d9c_row19_col5\" class=\"data row19 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_d8d9c_row20_col0\" class=\"data row20 col0\" >88.39</td>\n",
+ " <td id=\"T_d8d9c_row20_col1\" class=\"data row20 col1\" >3.84</td>\n",
+ " <td id=\"T_d8d9c_row20_col2\" class=\"data row20 col2\" >93.40</td>\n",
+ " <td id=\"T_d8d9c_row20_col3\" class=\"data row20 col3\" >3.66</td>\n",
+ " <td id=\"T_d8d9c_row20_col4\" class=\"data row20 col4\" >1.86</td>\n",
+ " <td id=\"T_d8d9c_row20_col5\" class=\"data row20 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_d8d9c_row21_col0\" class=\"data row21 col0\" >86.37</td>\n",
+ " <td id=\"T_d8d9c_row21_col1\" class=\"data row21 col1\" >4.85</td>\n",
+ " <td id=\"T_d8d9c_row21_col2\" class=\"data row21 col2\" >97.05</td>\n",
+ " <td id=\"T_d8d9c_row21_col3\" class=\"data row21 col3\" >3.94</td>\n",
+ " <td id=\"T_d8d9c_row21_col4\" class=\"data row21 col4\" >1.78</td>\n",
+ " <td id=\"T_d8d9c_row21_col5\" class=\"data row21 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_d8d9c_row22_col0\" class=\"data row22 col0\" >86.77</td>\n",
+ " <td id=\"T_d8d9c_row22_col1\" class=\"data row22 col1\" >3.87</td>\n",
+ " <td id=\"T_d8d9c_row22_col2\" class=\"data row22 col2\" >96.50</td>\n",
+ " <td id=\"T_d8d9c_row22_col3\" class=\"data row22 col3\" >5.28</td>\n",
+ " <td id=\"T_d8d9c_row22_col4\" class=\"data row22 col4\" >1.44</td>\n",
+ " <td id=\"T_d8d9c_row22_col5\" class=\"data row22 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_d8d9c_row23_col0\" class=\"data row23 col0\" >89.03</td>\n",
+ " <td id=\"T_d8d9c_row23_col1\" class=\"data row23 col1\" >2.73</td>\n",
+ " <td id=\"T_d8d9c_row23_col2\" class=\"data row23 col2\" >97.58</td>\n",
+ " <td id=\"T_d8d9c_row23_col3\" class=\"data row23 col3\" >3.33</td>\n",
+ " <td id=\"T_d8d9c_row23_col4\" class=\"data row23 col4\" >1.35</td>\n",
+ " <td id=\"T_d8d9c_row23_col5\" class=\"data row23 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_d8d9c_row24_col0\" class=\"data row24 col0\" >88.76</td>\n",
+ " <td id=\"T_d8d9c_row24_col1\" class=\"data row24 col1\" >3.77</td>\n",
+ " <td id=\"T_d8d9c_row24_col2\" class=\"data row24 col2\" >96.01</td>\n",
+ " <td id=\"T_d8d9c_row24_col3\" class=\"data row24 col3\" >3.00</td>\n",
+ " <td id=\"T_d8d9c_row24_col4\" class=\"data row24 col4\" >1.73</td>\n",
+ " <td id=\"T_d8d9c_row24_col5\" class=\"data row24 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_d8d9c_row25_col0\" class=\"data row25 col0\" >87.19</td>\n",
+ " <td id=\"T_d8d9c_row25_col1\" class=\"data row25 col1\" >4.69</td>\n",
+ " <td id=\"T_d8d9c_row25_col2\" class=\"data row25 col2\" >97.88</td>\n",
+ " <td id=\"T_d8d9c_row25_col3\" class=\"data row25 col3\" >4.07</td>\n",
+ " <td id=\"T_d8d9c_row25_col4\" class=\"data row25 col4\" >1.34</td>\n",
+ " <td id=\"T_d8d9c_row25_col5\" class=\"data row25 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_d8d9c_row26_col0\" class=\"data row26 col0\" >86.06</td>\n",
+ " <td id=\"T_d8d9c_row26_col1\" class=\"data row26 col1\" >4.29</td>\n",
+ " <td id=\"T_d8d9c_row26_col2\" class=\"data row26 col2\" >93.45</td>\n",
+ " <td id=\"T_d8d9c_row26_col3\" class=\"data row26 col3\" >4.50</td>\n",
+ " <td id=\"T_d8d9c_row26_col4\" class=\"data row26 col4\" >1.91</td>\n",
+ " <td id=\"T_d8d9c_row26_col5\" class=\"data row26 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_d8d9c_row27_col0\" class=\"data row27 col0\" >88.80</td>\n",
+ " <td id=\"T_d8d9c_row27_col1\" class=\"data row27 col1\" >3.03</td>\n",
+ " <td id=\"T_d8d9c_row27_col2\" class=\"data row27 col2\" >97.00</td>\n",
+ " <td id=\"T_d8d9c_row27_col3\" class=\"data row27 col3\" >5.17</td>\n",
+ " <td id=\"T_d8d9c_row27_col4\" class=\"data row27 col4\" >1.38</td>\n",
+ " <td id=\"T_d8d9c_row27_col5\" class=\"data row27 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_d8d9c_row28_col0\" class=\"data row28 col0\" >88.73</td>\n",
+ " <td id=\"T_d8d9c_row28_col1\" class=\"data row28 col1\" >3.35</td>\n",
+ " <td id=\"T_d8d9c_row28_col2\" class=\"data row28 col2\" >95.82</td>\n",
+ " <td id=\"T_d8d9c_row28_col3\" class=\"data row28 col3\" >4.03</td>\n",
+ " <td id=\"T_d8d9c_row28_col4\" class=\"data row28 col4\" >1.74</td>\n",
+ " <td id=\"T_d8d9c_row28_col5\" class=\"data row28 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_d8d9c_row29_col0\" class=\"data row29 col0\" >87.67</td>\n",
+ " <td id=\"T_d8d9c_row29_col1\" class=\"data row29 col1\" >4.52</td>\n",
+ " <td id=\"T_d8d9c_row29_col2\" class=\"data row29 col2\" >97.72</td>\n",
+ " <td id=\"T_d8d9c_row29_col3\" class=\"data row29 col3\" >5.09</td>\n",
+ " <td id=\"T_d8d9c_row29_col4\" class=\"data row29 col4\" >1.33</td>\n",
+ " <td id=\"T_d8d9c_row29_col5\" class=\"data row29 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_d8d9c_row30_col0\" class=\"data row30 col0\" >86.42</td>\n",
+ " <td id=\"T_d8d9c_row30_col1\" class=\"data row30 col1\" >3.71</td>\n",
+ " <td id=\"T_d8d9c_row30_col2\" class=\"data row30 col2\" >95.78</td>\n",
+ " <td id=\"T_d8d9c_row30_col3\" class=\"data row30 col3\" >5.88</td>\n",
+ " <td id=\"T_d8d9c_row30_col4\" class=\"data row30 col4\" >1.46</td>\n",
+ " <td id=\"T_d8d9c_row30_col5\" class=\"data row30 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_d8d9c_row31_col0\" class=\"data row31 col0\" >89.22</td>\n",
+ " <td id=\"T_d8d9c_row31_col1\" class=\"data row31 col1\" >3.25</td>\n",
+ " <td id=\"T_d8d9c_row31_col2\" class=\"data row31 col2\" >95.24</td>\n",
+ " <td id=\"T_d8d9c_row31_col3\" class=\"data row31 col3\" >3.85</td>\n",
+ " <td id=\"T_d8d9c_row31_col4\" class=\"data row31 col4\" >1.84</td>\n",
+ " <td id=\"T_d8d9c_row31_col5\" class=\"data row31 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_d8d9c_row32_col0\" class=\"data row32 col0\" >88.66</td>\n",
+ " <td id=\"T_d8d9c_row32_col1\" class=\"data row32 col1\" >3.19</td>\n",
+ " <td id=\"T_d8d9c_row32_col2\" class=\"data row32 col2\" >96.06</td>\n",
+ " <td id=\"T_d8d9c_row32_col3\" class=\"data row32 col3\" >4.29</td>\n",
+ " <td id=\"T_d8d9c_row32_col4\" class=\"data row32 col4\" >1.45</td>\n",
+ " <td id=\"T_d8d9c_row32_col5\" class=\"data row32 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_d8d9c_row33_col0\" class=\"data row33 col0\" >85.20</td>\n",
+ " <td id=\"T_d8d9c_row33_col1\" class=\"data row33 col1\" >4.99</td>\n",
+ " <td id=\"T_d8d9c_row33_col2\" class=\"data row33 col2\" >95.00</td>\n",
+ " <td id=\"T_d8d9c_row33_col3\" class=\"data row33 col3\" >4.77</td>\n",
+ " <td id=\"T_d8d9c_row33_col4\" class=\"data row33 col4\" >1.85</td>\n",
+ " <td id=\"T_d8d9c_row33_col5\" class=\"data row33 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_d8d9c_row34_col0\" class=\"data row34 col0\" >85.63</td>\n",
+ " <td id=\"T_d8d9c_row34_col1\" class=\"data row34 col1\" >4.25</td>\n",
+ " <td id=\"T_d8d9c_row34_col2\" class=\"data row34 col2\" >92.31</td>\n",
+ " <td id=\"T_d8d9c_row34_col3\" class=\"data row34 col3\" >4.55</td>\n",
+ " <td id=\"T_d8d9c_row34_col4\" class=\"data row34 col4\" >2.02</td>\n",
+ " <td id=\"T_d8d9c_row34_col5\" class=\"data row34 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_d8d9c_row35_col0\" class=\"data row35 col0\" >88.78</td>\n",
+ " <td id=\"T_d8d9c_row35_col1\" class=\"data row35 col1\" >2.67</td>\n",
+ " <td id=\"T_d8d9c_row35_col2\" class=\"data row35 col2\" >96.88</td>\n",
+ " <td id=\"T_d8d9c_row35_col3\" class=\"data row35 col3\" >4.27</td>\n",
+ " <td id=\"T_d8d9c_row35_col4\" class=\"data row35 col4\" >1.38</td>\n",
+ " <td id=\"T_d8d9c_row35_col5\" class=\"data row35 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_d8d9c_row36_col0\" class=\"data row36 col0\" >88.55</td>\n",
+ " <td id=\"T_d8d9c_row36_col1\" class=\"data row36 col1\" >3.15</td>\n",
+ " <td id=\"T_d8d9c_row36_col2\" class=\"data row36 col2\" >96.84</td>\n",
+ " <td id=\"T_d8d9c_row36_col3\" class=\"data row36 col3\" >3.88</td>\n",
+ " <td id=\"T_d8d9c_row36_col4\" class=\"data row36 col4\" >1.43</td>\n",
+ " <td id=\"T_d8d9c_row36_col5\" class=\"data row36 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_d8d9c_row37_col0\" class=\"data row37 col0\" >86.05</td>\n",
+ " <td id=\"T_d8d9c_row37_col1\" class=\"data row37 col1\" >4.96</td>\n",
+ " <td id=\"T_d8d9c_row37_col2\" class=\"data row37 col2\" >94.51</td>\n",
+ " <td id=\"T_d8d9c_row37_col3\" class=\"data row37 col3\" >4.56</td>\n",
+ " <td id=\"T_d8d9c_row37_col4\" class=\"data row37 col4\" >1.87</td>\n",
+ " <td id=\"T_d8d9c_row37_col5\" class=\"data row37 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_d8d9c_row38_col0\" class=\"data row38 col0\" >86.05</td>\n",
+ " <td id=\"T_d8d9c_row38_col1\" class=\"data row38 col1\" >4.18</td>\n",
+ " <td id=\"T_d8d9c_row38_col2\" class=\"data row38 col2\" >96.11</td>\n",
+ " <td id=\"T_d8d9c_row38_col3\" class=\"data row38 col3\" >4.85</td>\n",
+ " <td id=\"T_d8d9c_row38_col4\" class=\"data row38 col4\" >1.48</td>\n",
+ " <td id=\"T_d8d9c_row38_col5\" class=\"data row38 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_d8d9c_row39_col0\" class=\"data row39 col0\" >87.95</td>\n",
+ " <td id=\"T_d8d9c_row39_col1\" class=\"data row39 col1\" >3.39</td>\n",
+ " <td id=\"T_d8d9c_row39_col2\" class=\"data row39 col2\" >94.55</td>\n",
+ " <td id=\"T_d8d9c_row39_col3\" class=\"data row39 col3\" >3.85</td>\n",
+ " <td id=\"T_d8d9c_row39_col4\" class=\"data row39 col4\" >1.87</td>\n",
+ " <td id=\"T_d8d9c_row39_col5\" class=\"data row39 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_d8d9c_row40_col0\" class=\"data row40 col0\" >88.99</td>\n",
+ " <td id=\"T_d8d9c_row40_col1\" class=\"data row40 col1\" >3.20</td>\n",
+ " <td id=\"T_d8d9c_row40_col2\" class=\"data row40 col2\" >96.76</td>\n",
+ " <td id=\"T_d8d9c_row40_col3\" class=\"data row40 col3\" >3.50</td>\n",
+ " <td id=\"T_d8d9c_row40_col4\" class=\"data row40 col4\" >1.42</td>\n",
+ " <td id=\"T_d8d9c_row40_col5\" class=\"data row40 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_d8d9c_row41_col0\" class=\"data row41 col0\" >87.00</td>\n",
+ " <td id=\"T_d8d9c_row41_col1\" class=\"data row41 col1\" >4.59</td>\n",
+ " <td id=\"T_d8d9c_row41_col2\" class=\"data row41 col2\" >97.05</td>\n",
+ " <td id=\"T_d8d9c_row41_col3\" class=\"data row41 col3\" >5.98</td>\n",
+ " <td id=\"T_d8d9c_row41_col4\" class=\"data row41 col4\" >1.42</td>\n",
+ " <td id=\"T_d8d9c_row41_col5\" class=\"data row41 col5\" >0.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_d8d9c_row42_col0\" class=\"data row42 col0\" >86.39</td>\n",
+ " <td id=\"T_d8d9c_row42_col1\" class=\"data row42 col1\" >3.98</td>\n",
+ " <td id=\"T_d8d9c_row42_col2\" class=\"data row42 col2\" >93.79</td>\n",
+ " <td id=\"T_d8d9c_row42_col3\" class=\"data row42 col3\" >4.84</td>\n",
+ " <td id=\"T_d8d9c_row42_col4\" class=\"data row42 col4\" >1.87</td>\n",
+ " <td id=\"T_d8d9c_row42_col5\" class=\"data row42 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_d8d9c_row43_col0\" class=\"data row43 col0\" >88.98</td>\n",
+ " <td id=\"T_d8d9c_row43_col1\" class=\"data row43 col1\" >3.22</td>\n",
+ " <td id=\"T_d8d9c_row43_col2\" class=\"data row43 col2\" >94.85</td>\n",
+ " <td id=\"T_d8d9c_row43_col3\" class=\"data row43 col3\" >4.21</td>\n",
+ " <td id=\"T_d8d9c_row43_col4\" class=\"data row43 col4\" >1.77</td>\n",
+ " <td id=\"T_d8d9c_row43_col5\" class=\"data row43 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_d8d9c_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_d8d9c_row44_col0\" class=\"data row44 col0\" >90.20</td>\n",
+ " <td id=\"T_d8d9c_row44_col1\" class=\"data row44 col1\" >3.09</td>\n",
+ " <td id=\"T_d8d9c_row44_col2\" class=\"data row44 col2\" >96.21</td>\n",
+ " <td id=\"T_d8d9c_row44_col3\" class=\"data row44 col3\" >3.77</td>\n",
+ " <td id=\"T_d8d9c_row44_col4\" class=\"data row44 col4\" >1.65</td>\n",
+ " <td id=\"T_d8d9c_row44_col5\" class=\"data row44 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_d8d9c_row45_col0\" class=\"data row45 col0\" >88.30</td>\n",
+ " <td id=\"T_d8d9c_row45_col1\" class=\"data row45 col1\" >4.57</td>\n",
+ " <td id=\"T_d8d9c_row45_col2\" class=\"data row45 col2\" >98.00</td>\n",
+ " <td id=\"T_d8d9c_row45_col3\" class=\"data row45 col3\" >3.35</td>\n",
+ " <td id=\"T_d8d9c_row45_col4\" class=\"data row45 col4\" >1.58</td>\n",
+ " <td id=\"T_d8d9c_row45_col5\" class=\"data row45 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_d8d9c_row46_col0\" class=\"data row46 col0\" >88.81</td>\n",
+ " <td id=\"T_d8d9c_row46_col1\" class=\"data row46 col1\" >3.63</td>\n",
+ " <td id=\"T_d8d9c_row46_col2\" class=\"data row46 col2\" >95.81</td>\n",
+ " <td id=\"T_d8d9c_row46_col3\" class=\"data row46 col3\" >3.10</td>\n",
+ " <td id=\"T_d8d9c_row46_col4\" class=\"data row46 col4\" >1.76</td>\n",
+ " <td id=\"T_d8d9c_row46_col5\" class=\"data row46 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_d8d9c_row47_col0\" class=\"data row47 col0\" >88.89</td>\n",
+ " <td id=\"T_d8d9c_row47_col1\" class=\"data row47 col1\" >2.56</td>\n",
+ " <td id=\"T_d8d9c_row47_col2\" class=\"data row47 col2\" >97.45</td>\n",
+ " <td id=\"T_d8d9c_row47_col3\" class=\"data row47 col3\" >5.37</td>\n",
+ " <td id=\"T_d8d9c_row47_col4\" class=\"data row47 col4\" >1.35</td>\n",
+ " <td id=\"T_d8d9c_row47_col5\" class=\"data row47 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_d8d9c_row48_col0\" class=\"data row48 col0\" >90.26</td>\n",
+ " <td id=\"T_d8d9c_row48_col1\" class=\"data row48 col1\" >3.42</td>\n",
+ " <td id=\"T_d8d9c_row48_col2\" class=\"data row48 col2\" >97.26</td>\n",
+ " <td id=\"T_d8d9c_row48_col3\" class=\"data row48 col3\" >2.62</td>\n",
+ " <td id=\"T_d8d9c_row48_col4\" class=\"data row48 col4\" >1.63</td>\n",
+ " <td id=\"T_d8d9c_row48_col5\" class=\"data row48 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_d8d9c_row49_col0\" class=\"data row49 col0\" >88.72</td>\n",
+ " <td id=\"T_d8d9c_row49_col1\" class=\"data row49 col1\" >4.15</td>\n",
+ " <td id=\"T_d8d9c_row49_col2\" class=\"data row49 col2\" >98.00</td>\n",
+ " <td id=\"T_d8d9c_row49_col3\" class=\"data row49 col3\" >3.72</td>\n",
+ " <td id=\"T_d8d9c_row49_col4\" class=\"data row49 col4\" >1.62</td>\n",
+ " <td id=\"T_d8d9c_row49_col5\" class=\"data row49 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_d8d9c_row50_col0\" class=\"data row50 col0\" >85.97</td>\n",
+ " <td id=\"T_d8d9c_row50_col1\" class=\"data row50 col1\" >4.39</td>\n",
+ " <td id=\"T_d8d9c_row50_col2\" class=\"data row50 col2\" >96.14</td>\n",
+ " <td id=\"T_d8d9c_row50_col3\" class=\"data row50 col3\" >6.57</td>\n",
+ " <td id=\"T_d8d9c_row50_col4\" class=\"data row50 col4\" >1.44</td>\n",
+ " <td id=\"T_d8d9c_row50_col5\" class=\"data row50 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_d8d9c_row51_col0\" class=\"data row51 col0\" >90.59</td>\n",
+ " <td id=\"T_d8d9c_row51_col1\" class=\"data row51 col1\" >3.13</td>\n",
+ " <td id=\"T_d8d9c_row51_col2\" class=\"data row51 col2\" >97.63</td>\n",
+ " <td id=\"T_d8d9c_row51_col3\" class=\"data row51 col3\" >2.89</td>\n",
+ " <td id=\"T_d8d9c_row51_col4\" class=\"data row51 col4\" >1.65</td>\n",
+ " <td id=\"T_d8d9c_row51_col5\" class=\"data row51 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_d8d9c_row52_col0\" class=\"data row52 col0\" >90.73</td>\n",
+ " <td id=\"T_d8d9c_row52_col1\" class=\"data row52 col1\" >3.05</td>\n",
+ " <td id=\"T_d8d9c_row52_col2\" class=\"data row52 col2\" >97.79</td>\n",
+ " <td id=\"T_d8d9c_row52_col3\" class=\"data row52 col3\" >2.56</td>\n",
+ " <td id=\"T_d8d9c_row52_col4\" class=\"data row52 col4\" >1.55</td>\n",
+ " <td id=\"T_d8d9c_row52_col5\" class=\"data row52 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_d8d9c_row53_col0\" class=\"data row53 col0\" >88.18</td>\n",
+ " <td id=\"T_d8d9c_row53_col1\" class=\"data row53 col1\" >4.60</td>\n",
+ " <td id=\"T_d8d9c_row53_col2\" class=\"data row53 col2\" >98.16</td>\n",
+ " <td id=\"T_d8d9c_row53_col3\" class=\"data row53 col3\" >4.68</td>\n",
+ " <td id=\"T_d8d9c_row53_col4\" class=\"data row53 col4\" >1.33</td>\n",
+ " <td id=\"T_d8d9c_row53_col5\" class=\"data row53 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_d8d9c_row54_col0\" class=\"data row54 col0\" >88.09</td>\n",
+ " <td id=\"T_d8d9c_row54_col1\" class=\"data row54 col1\" >3.80</td>\n",
+ " <td id=\"T_d8d9c_row54_col2\" class=\"data row54 col2\" >97.38</td>\n",
+ " <td id=\"T_d8d9c_row54_col3\" class=\"data row54 col3\" >3.17</td>\n",
+ " <td id=\"T_d8d9c_row54_col4\" class=\"data row54 col4\" >1.66</td>\n",
+ " <td id=\"T_d8d9c_row54_col5\" class=\"data row54 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_d8d9c_row55_col0\" class=\"data row55 col0\" >90.92</td>\n",
+ " <td id=\"T_d8d9c_row55_col1\" class=\"data row55 col1\" >3.13</td>\n",
+ " <td id=\"T_d8d9c_row55_col2\" class=\"data row55 col2\" >97.44</td>\n",
+ " <td id=\"T_d8d9c_row55_col3\" class=\"data row55 col3\" >3.24</td>\n",
+ " <td id=\"T_d8d9c_row55_col4\" class=\"data row55 col4\" >1.58</td>\n",
+ " <td id=\"T_d8d9c_row55_col5\" class=\"data row55 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_d8d9c_row56_col0\" class=\"data row56 col0\" >89.31</td>\n",
+ " <td id=\"T_d8d9c_row56_col1\" class=\"data row56 col1\" >3.23</td>\n",
+ " <td id=\"T_d8d9c_row56_col2\" class=\"data row56 col2\" >96.75</td>\n",
+ " <td id=\"T_d8d9c_row56_col3\" class=\"data row56 col3\" >3.56</td>\n",
+ " <td id=\"T_d8d9c_row56_col4\" class=\"data row56 col4\" >1.41</td>\n",
+ " <td id=\"T_d8d9c_row56_col5\" class=\"data row56 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_d8d9c_row57_col0\" class=\"data row57 col0\" >88.03</td>\n",
+ " <td id=\"T_d8d9c_row57_col1\" class=\"data row57 col1\" >4.75</td>\n",
+ " <td id=\"T_d8d9c_row57_col2\" class=\"data row57 col2\" >96.35</td>\n",
+ " <td id=\"T_d8d9c_row57_col3\" class=\"data row57 col3\" >4.94</td>\n",
+ " <td id=\"T_d8d9c_row57_col4\" class=\"data row57 col4\" >1.69</td>\n",
+ " <td id=\"T_d8d9c_row57_col5\" class=\"data row57 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_d8d9c_row58_col0\" class=\"data row58 col0\" >88.32</td>\n",
+ " <td id=\"T_d8d9c_row58_col1\" class=\"data row58 col1\" >3.78</td>\n",
+ " <td id=\"T_d8d9c_row58_col2\" class=\"data row58 col2\" >96.13</td>\n",
+ " <td id=\"T_d8d9c_row58_col3\" class=\"data row58 col3\" >4.17</td>\n",
+ " <td id=\"T_d8d9c_row58_col4\" class=\"data row58 col4\" >1.68</td>\n",
+ " <td id=\"T_d8d9c_row58_col5\" class=\"data row58 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_d8d9c_row59_col0\" class=\"data row59 col0\" >90.32</td>\n",
+ " <td id=\"T_d8d9c_row59_col1\" class=\"data row59 col1\" >3.05</td>\n",
+ " <td id=\"T_d8d9c_row59_col2\" class=\"data row59 col2\" >97.30</td>\n",
+ " <td id=\"T_d8d9c_row59_col3\" class=\"data row59 col3\" >3.17</td>\n",
+ " <td id=\"T_d8d9c_row59_col4\" class=\"data row59 col4\" >1.60</td>\n",
+ " <td id=\"T_d8d9c_row59_col5\" class=\"data row59 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_d8d9c_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_d8d9c_row60_col0\" class=\"data row60 col0\" >91.19</td>\n",
+ " <td id=\"T_d8d9c_row60_col1\" class=\"data row60 col1\" >3.01</td>\n",
+ " <td id=\"T_d8d9c_row60_col2\" class=\"data row60 col2\" >98.38</td>\n",
+ " <td id=\"T_d8d9c_row60_col3\" class=\"data row60 col3\" >1.95</td>\n",
+ " <td id=\"T_d8d9c_row60_col4\" class=\"data row60 col4\" >1.48</td>\n",
+ " <td id=\"T_d8d9c_row60_col5\" class=\"data row60 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_d8d9c_row61_col0\" class=\"data row61 col0\" >90.20</td>\n",
+ " <td id=\"T_d8d9c_row61_col1\" class=\"data row61 col1\" >4.41</td>\n",
+ " <td id=\"T_d8d9c_row61_col2\" class=\"data row61 col2\" >98.60</td>\n",
+ " <td id=\"T_d8d9c_row61_col3\" class=\"data row61 col3\" >2.94</td>\n",
+ " <td id=\"T_d8d9c_row61_col4\" class=\"data row61 col4\" >1.48</td>\n",
+ " <td id=\"T_d8d9c_row61_col5\" class=\"data row61 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_d8d9c_row62_col0\" class=\"data row62 col0\" >90.41</td>\n",
+ " <td id=\"T_d8d9c_row62_col1\" class=\"data row62 col1\" >3.46</td>\n",
+ " <td id=\"T_d8d9c_row62_col2\" class=\"data row62 col2\" >98.34</td>\n",
+ " <td id=\"T_d8d9c_row62_col3\" class=\"data row62 col3\" >2.05</td>\n",
+ " <td id=\"T_d8d9c_row62_col4\" class=\"data row62 col4\" >1.53</td>\n",
+ " <td id=\"T_d8d9c_row62_col5\" class=\"data row62 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d8d9c_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_d8d9c_row63_col0\" class=\"data row63 col0\" >91.74</td>\n",
+ " <td id=\"T_d8d9c_row63_col1\" class=\"data row63 col1\" >3.31</td>\n",
+ " <td id=\"T_d8d9c_row63_col2\" class=\"data row63 col2\" >98.94</td>\n",
+ " <td id=\"T_d8d9c_row63_col3\" class=\"data row63 col3\" >1.47</td>\n",
+ " <td id=\"T_d8d9c_row63_col4\" class=\"data row63 col4\" >1.47</td>\n",
+ " <td id=\"T_d8d9c_row63_col5\" class=\"data row63 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfe67290>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_00a9f td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_00a9f th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_00a9f_row0_col0, #T_00a9f_row0_col2, #T_00a9f_row15_col0, #T_00a9f_row15_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row0_col4, #T_00a9f_row15_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row1_col0 {\n",
+ " background-color: #ddf4dd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row1_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row1_col4, #T_00a9f_row10_col4 {\n",
+ " background-color: #fc4141;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row2_col0 {\n",
+ " background-color: #dcf4dc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row2_col2 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row2_col4 {\n",
+ " background-color: #fc4242;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row3_col0 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row3_col2, #T_00a9f_row4_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row3_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row4_col2, #T_00a9f_row8_col0 {\n",
+ " background-color: #dff4df;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row4_col4 {\n",
+ " background-color: #ff0909;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row5_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row5_col2 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row5_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row6_col0 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row6_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row6_col4 {\n",
+ " background-color: #fb5252;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row7_col0 {\n",
+ " background-color: #c3f6c3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row7_col2 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row7_col4 {\n",
+ " background-color: #fc4040;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row8_col2 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row8_col4 {\n",
+ " background-color: #fd2121;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row9_col0 {\n",
+ " background-color: #eaf3ea;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row9_col2, #T_00a9f_row10_col2 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row9_col4 {\n",
+ " background-color: #fd2424;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row10_col0 {\n",
+ " background-color: #c6f5c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row11_col0 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row11_col2, #T_00a9f_row13_col0 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row11_col4, #T_00a9f_row12_col4 {\n",
+ " background-color: #f88181;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_00a9f_row12_col0 {\n",
+ " background-color: #92f992;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row12_col2 {\n",
+ " background-color: #5dfc5d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row13_col2 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row13_col4 {\n",
+ " background-color: #f6aaaa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row14_col0 {\n",
+ " background-color: #91f991;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row14_col2 {\n",
+ " background-color: #76fb76;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_00a9f_row14_col4 {\n",
+ " background-color: #f88686;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_00a9f\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_00a9f_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_00a9f_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_00a9f_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_00a9f_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_00a9f_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_00a9f_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_00a9f_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_00a9f_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_00a9f_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_00a9f_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_00a9f_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_00a9f_row0_col0\" class=\"data row0 col0\" >90.97</td>\n",
+ " <td id=\"T_00a9f_row0_col1\" class=\"data row0 col1\" >1.99</td>\n",
+ " <td id=\"T_00a9f_row0_col2\" class=\"data row0 col2\" >98.57</td>\n",
+ " <td id=\"T_00a9f_row0_col3\" class=\"data row0 col3\" >1.20</td>\n",
+ " <td id=\"T_00a9f_row0_col4\" class=\"data row0 col4\" >1.49</td>\n",
+ " <td id=\"T_00a9f_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_00a9f_row1_col0\" class=\"data row1 col0\" >87.56</td>\n",
+ " <td id=\"T_00a9f_row1_col1\" class=\"data row1 col1\" >2.00</td>\n",
+ " <td id=\"T_00a9f_row1_col2\" class=\"data row1 col2\" >94.60</td>\n",
+ " <td id=\"T_00a9f_row1_col3\" class=\"data row1 col3\" >2.40</td>\n",
+ " <td id=\"T_00a9f_row1_col4\" class=\"data row1 col4\" >1.69</td>\n",
+ " <td id=\"T_00a9f_row1_col5\" class=\"data row1 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_00a9f_row2_col0\" class=\"data row2 col0\" >87.57</td>\n",
+ " <td id=\"T_00a9f_row2_col1\" class=\"data row2 col1\" >2.00</td>\n",
+ " <td id=\"T_00a9f_row2_col2\" class=\"data row2 col2\" >94.55</td>\n",
+ " <td id=\"T_00a9f_row2_col3\" class=\"data row2 col3\" >2.74</td>\n",
+ " <td id=\"T_00a9f_row2_col4\" class=\"data row2 col4\" >1.69</td>\n",
+ " <td id=\"T_00a9f_row2_col5\" class=\"data row2 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_00a9f_row3_col0\" class=\"data row3 col0\" >87.44</td>\n",
+ " <td id=\"T_00a9f_row3_col1\" class=\"data row3 col1\" >1.97</td>\n",
+ " <td id=\"T_00a9f_row3_col2\" class=\"data row3 col2\" >93.30</td>\n",
+ " <td id=\"T_00a9f_row3_col3\" class=\"data row3 col3\" >2.62</td>\n",
+ " <td id=\"T_00a9f_row3_col4\" class=\"data row3 col4\" >1.76</td>\n",
+ " <td id=\"T_00a9f_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_00a9f_row4_col0\" class=\"data row4 col0\" >87.28</td>\n",
+ " <td id=\"T_00a9f_row4_col1\" class=\"data row4 col1\" >2.15</td>\n",
+ " <td id=\"T_00a9f_row4_col2\" class=\"data row4 col2\" >93.64</td>\n",
+ " <td id=\"T_00a9f_row4_col3\" class=\"data row4 col3\" >2.71</td>\n",
+ " <td id=\"T_00a9f_row4_col4\" class=\"data row4 col4\" >1.75</td>\n",
+ " <td id=\"T_00a9f_row4_col5\" class=\"data row4 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_00a9f_row5_col0\" class=\"data row5 col0\" >87.84</td>\n",
+ " <td id=\"T_00a9f_row5_col1\" class=\"data row5 col1\" >1.93</td>\n",
+ " <td id=\"T_00a9f_row5_col2\" class=\"data row5 col2\" >95.77</td>\n",
+ " <td id=\"T_00a9f_row5_col3\" class=\"data row5 col3\" >1.98</td>\n",
+ " <td id=\"T_00a9f_row5_col4\" class=\"data row5 col4\" >1.67</td>\n",
+ " <td id=\"T_00a9f_row5_col5\" class=\"data row5 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_00a9f_row6_col0\" class=\"data row6 col0\" >87.93</td>\n",
+ " <td id=\"T_00a9f_row6_col1\" class=\"data row6 col1\" >1.97</td>\n",
+ " <td id=\"T_00a9f_row6_col2\" class=\"data row6 col2\" >95.63</td>\n",
+ " <td id=\"T_00a9f_row6_col3\" class=\"data row6 col3\" >2.02</td>\n",
+ " <td id=\"T_00a9f_row6_col4\" class=\"data row6 col4\" >1.67</td>\n",
+ " <td id=\"T_00a9f_row6_col5\" class=\"data row6 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_00a9f_row7_col0\" class=\"data row7 col0\" >88.08</td>\n",
+ " <td id=\"T_00a9f_row7_col1\" class=\"data row7 col1\" >2.07</td>\n",
+ " <td id=\"T_00a9f_row7_col2\" class=\"data row7 col2\" >95.83</td>\n",
+ " <td id=\"T_00a9f_row7_col3\" class=\"data row7 col3\" >2.36</td>\n",
+ " <td id=\"T_00a9f_row7_col4\" class=\"data row7 col4\" >1.69</td>\n",
+ " <td id=\"T_00a9f_row7_col5\" class=\"data row7 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_00a9f_row8_col0\" class=\"data row8 col0\" >87.51</td>\n",
+ " <td id=\"T_00a9f_row8_col1\" class=\"data row8 col1\" >1.67</td>\n",
+ " <td id=\"T_00a9f_row8_col2\" class=\"data row8 col2\" >94.76</td>\n",
+ " <td id=\"T_00a9f_row8_col3\" class=\"data row8 col3\" >2.41</td>\n",
+ " <td id=\"T_00a9f_row8_col4\" class=\"data row8 col4\" >1.73</td>\n",
+ " <td id=\"T_00a9f_row8_col5\" class=\"data row8 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_00a9f_row9_col0\" class=\"data row9 col0\" >87.29</td>\n",
+ " <td id=\"T_00a9f_row9_col1\" class=\"data row9 col1\" >1.86</td>\n",
+ " <td id=\"T_00a9f_row9_col2\" class=\"data row9 col2\" >95.24</td>\n",
+ " <td id=\"T_00a9f_row9_col3\" class=\"data row9 col3\" >2.22</td>\n",
+ " <td id=\"T_00a9f_row9_col4\" class=\"data row9 col4\" >1.72</td>\n",
+ " <td id=\"T_00a9f_row9_col5\" class=\"data row9 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_00a9f_row10_col0\" class=\"data row10 col0\" >88.03</td>\n",
+ " <td id=\"T_00a9f_row10_col1\" class=\"data row10 col1\" >1.95</td>\n",
+ " <td id=\"T_00a9f_row10_col2\" class=\"data row10 col2\" >95.24</td>\n",
+ " <td id=\"T_00a9f_row10_col3\" class=\"data row10 col3\" >2.54</td>\n",
+ " <td id=\"T_00a9f_row10_col4\" class=\"data row10 col4\" >1.69</td>\n",
+ " <td id=\"T_00a9f_row10_col5\" class=\"data row10 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_00a9f_row11_col0\" class=\"data row11 col0\" >89.13</td>\n",
+ " <td id=\"T_00a9f_row11_col1\" class=\"data row11 col1\" >1.81</td>\n",
+ " <td id=\"T_00a9f_row11_col2\" class=\"data row11 col2\" >96.72</td>\n",
+ " <td id=\"T_00a9f_row11_col3\" class=\"data row11 col3\" >1.96</td>\n",
+ " <td id=\"T_00a9f_row11_col4\" class=\"data row11 col4\" >1.62</td>\n",
+ " <td id=\"T_00a9f_row11_col5\" class=\"data row11 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_00a9f_row12_col0\" class=\"data row12 col0\" >89.05</td>\n",
+ " <td id=\"T_00a9f_row12_col1\" class=\"data row12 col1\" >2.09</td>\n",
+ " <td id=\"T_00a9f_row12_col2\" class=\"data row12 col2\" >97.38</td>\n",
+ " <td id=\"T_00a9f_row12_col3\" class=\"data row12 col3\" >1.95</td>\n",
+ " <td id=\"T_00a9f_row12_col4\" class=\"data row12 col4\" >1.62</td>\n",
+ " <td id=\"T_00a9f_row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_00a9f_row13_col0\" class=\"data row13 col0\" >89.67</td>\n",
+ " <td id=\"T_00a9f_row13_col1\" class=\"data row13 col1\" >2.01</td>\n",
+ " <td id=\"T_00a9f_row13_col2\" class=\"data row13 col2\" >97.60</td>\n",
+ " <td id=\"T_00a9f_row13_col3\" class=\"data row13 col3\" >1.71</td>\n",
+ " <td id=\"T_00a9f_row13_col4\" class=\"data row13 col4\" >1.57</td>\n",
+ " <td id=\"T_00a9f_row13_col5\" class=\"data row13 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_00a9f_row14_col0\" class=\"data row14 col0\" >89.08</td>\n",
+ " <td id=\"T_00a9f_row14_col1\" class=\"data row14 col1\" >1.86</td>\n",
+ " <td id=\"T_00a9f_row14_col2\" class=\"data row14 col2\" >96.66</td>\n",
+ " <td id=\"T_00a9f_row14_col3\" class=\"data row14 col3\" >2.20</td>\n",
+ " <td id=\"T_00a9f_row14_col4\" class=\"data row14 col4\" >1.61</td>\n",
+ " <td id=\"T_00a9f_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_00a9f_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_00a9f_row15_col0\" class=\"data row15 col0\" >90.97</td>\n",
+ " <td id=\"T_00a9f_row15_col1\" class=\"data row15 col1\" >1.99</td>\n",
+ " <td id=\"T_00a9f_row15_col2\" class=\"data row15 col2\" >98.57</td>\n",
+ " <td id=\"T_00a9f_row15_col3\" class=\"data row15 col3\" >1.20</td>\n",
+ " <td id=\"T_00a9f_row15_col4\" class=\"data row15 col4\" >1.49</td>\n",
+ " <td id=\"T_00a9f_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x715124ab81d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_qos(\"large\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_69be5 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_69be5 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_69be5_row0_col0 {\n",
+ " background-color: #5bfc5b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row0_col2 {\n",
+ " background-color: #61fc61;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row0_col4, #T_69be5_row60_col4 {\n",
+ " background-color: #f98080;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row1_col0, #T_69be5_row21_col2, #T_69be5_row37_col2 {\n",
+ " background-color: #91f991;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row1_col2 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row1_col4, #T_69be5_row7_col4, #T_69be5_row61_col4 {\n",
+ " background-color: #f97f7f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row2_col0, #T_69be5_row9_col0 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row2_col2 {\n",
+ " background-color: #5afc5a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row2_col4, #T_69be5_row62_col4 {\n",
+ " background-color: #f7a6a6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row3_col0 {\n",
+ " background-color: #55fd55;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row3_col2 {\n",
+ " background-color: #60fc60;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row3_col4, #T_69be5_row63_col4 {\n",
+ " background-color: #f7a2a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row4_col0, #T_69be5_row9_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row4_col2 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row4_col4 {\n",
+ " background-color: #f4d1d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row5_col0 {\n",
+ " background-color: #a1f8a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row5_col2, #T_69be5_row20_col2, #T_69be5_row35_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row5_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row6_col0, #T_69be5_row47_col0 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row6_col2, #T_69be5_row23_col0 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row6_col4 {\n",
+ " background-color: #f97878;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row7_col0 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row7_col2, #T_69be5_row13_col2, #T_69be5_row39_col2 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row8_col0, #T_69be5_row11_col2, #T_69be5_row16_col0 {\n",
+ " background-color: #72fb72;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row8_col2, #T_69be5_row16_col2 {\n",
+ " background-color: #78fb78;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row8_col4, #T_69be5_row13_col4, #T_69be5_row16_col4 {\n",
+ " background-color: #fa5959;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row9_col4 {\n",
+ " background-color: #f4dede;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row10_col0, #T_69be5_row36_col2 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row10_col2, #T_69be5_row17_col2 {\n",
+ " background-color: #75fb75;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row10_col4, #T_69be5_row11_col4 {\n",
+ " background-color: #f88989;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row11_col0 {\n",
+ " background-color: #68fc68;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row12_col0 {\n",
+ " background-color: #70fb70;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row12_col2 {\n",
+ " background-color: #76fb76;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row12_col4, #T_69be5_row35_col4 {\n",
+ " background-color: #fa5f5f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row13_col0 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row14_col0 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row14_col2 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row14_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row15_col0 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row15_col2, #T_69be5_row20_col0 {\n",
+ " background-color: #73fb73;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row15_col4 {\n",
+ " background-color: #f88383;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row17_col0, #T_69be5_row30_col0 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row17_col4 {\n",
+ " background-color: #fb5858;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row18_col0 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row18_col2, #T_69be5_row27_col0 {\n",
+ " background-color: #7dfa7d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row18_col4 {\n",
+ " background-color: #f96f6f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row19_col0 {\n",
+ " background-color: #36ff36;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row19_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row19_col4, #T_69be5_row34_col4 {\n",
+ " background-color: #f3e8e8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row20_col4 {\n",
+ " background-color: #f5c3c3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row21_col0, #T_69be5_row37_col0, #T_69be5_row44_col2, #T_69be5_row48_col2 {\n",
+ " background-color: #b1f7b1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row21_col4, #T_69be5_row33_col4, #T_69be5_row37_col4 {\n",
+ " background-color: #f5cbcb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row22_col0 {\n",
+ " background-color: #9df89d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row22_col2 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row22_col4 {\n",
+ " background-color: #fb4d4d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row23_col2 {\n",
+ " background-color: #85fa85;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row23_col4 {\n",
+ " background-color: #fa5e5e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row24_col0, #T_69be5_row28_col0, #T_69be5_row30_col2, #T_69be5_row31_col0, #T_69be5_row33_col2, #T_69be5_row56_col0 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row24_col2, #T_69be5_row28_col2, #T_69be5_row47_col2, #T_69be5_row56_col2 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row24_col4 {\n",
+ " background-color: #f6b7b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row25_col0 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row25_col2, #T_69be5_row34_col2 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row25_col4 {\n",
+ " background-color: #fd2828;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row26_col0 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row26_col2, #T_69be5_row41_col0, #T_69be5_row43_col2 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row26_col4, #T_69be5_row39_col4 {\n",
+ " background-color: #f3e3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row27_col2, #T_69be5_row40_col2, #T_69be5_row41_col2 {\n",
+ " background-color: #86fa86;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row27_col4 {\n",
+ " background-color: #fa5a5a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row28_col4 {\n",
+ " background-color: #f5bcbc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row29_col0, #T_69be5_row44_col0, #T_69be5_row48_col0 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row29_col2 {\n",
+ " background-color: #89f989;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row29_col4 {\n",
+ " background-color: #fd2b2b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row30_col4, #T_69be5_row36_col4 {\n",
+ " background-color: #fc3737;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row31_col2 {\n",
+ " background-color: #99f899;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row31_col4 {\n",
+ " background-color: #f4dcdc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row32_col0 {\n",
+ " background-color: #7ffa7f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row32_col2 {\n",
+ " background-color: #84fa84;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row32_col4 {\n",
+ " background-color: #fc3f3f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row33_col0, #T_69be5_row50_col0 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row34_col0, #T_69be5_row38_col0 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row35_col2 {\n",
+ " background-color: #82fa82;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row36_col0 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row38_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row38_col4 {\n",
+ " background-color: #fc4343;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row39_col0 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row40_col0 {\n",
+ " background-color: #81fa81;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row40_col4, #T_69be5_row41_col4 {\n",
+ " background-color: #fc3a3a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row42_col0, #T_69be5_row52_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row42_col2 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row42_col4 {\n",
+ " background-color: #f4d9d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row43_col0 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row43_col4 {\n",
+ " background-color: #f5c9c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row44_col4 {\n",
+ " background-color: #f79f9f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row45_col0 {\n",
+ " background-color: #d0f5d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row45_col2, #T_69be5_row59_col2 {\n",
+ " background-color: #bef6be;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row45_col4 {\n",
+ " background-color: #f6adad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row46_col0 {\n",
+ " background-color: #cdf5cd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row46_col2, #T_69be5_row55_col2 {\n",
+ " background-color: #c8f5c8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row46_col4, #T_69be5_row51_col4 {\n",
+ " background-color: #f4d2d2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row47_col4 {\n",
+ " background-color: #fd3030;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row48_col4 {\n",
+ " background-color: #f7a8a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row49_col0, #T_69be5_row58_col2, #T_69be5_row63_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row49_col2 {\n",
+ " background-color: #bcf6bc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row49_col4 {\n",
+ " background-color: #f6aeae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row50_col2 {\n",
+ " background-color: #a5f8a5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row50_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row51_col0 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row51_col2 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row52_col0, #T_69be5_row57_col2, #T_69be5_row59_col0 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row52_col4 {\n",
+ " background-color: #f79a9a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row53_col0 {\n",
+ " background-color: #b5f6b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row53_col2 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row53_col4 {\n",
+ " background-color: #fe0c0c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row54_col0 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row54_col2 {\n",
+ " background-color: #dbf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row54_col4 {\n",
+ " background-color: #f5bdbd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row55_col0 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row55_col4 {\n",
+ " background-color: #f6b5b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row56_col4 {\n",
+ " background-color: #fe1818;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_69be5_row57_col0, #T_69be5_row60_col2 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row57_col4 {\n",
+ " background-color: #f6a9a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row58_col0, #T_69be5_row61_col2 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row58_col4 {\n",
+ " background-color: #f5c4c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row59_col4 {\n",
+ " background-color: #f5bebe;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row60_col0 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row61_col0 {\n",
+ " background-color: #dff4df;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row62_col0, #T_69be5_row62_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_69be5_row63_col2 {\n",
+ " background-color: #d5f4d5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_69be5\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_69be5_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_69be5_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_69be5_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_69be5_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_69be5_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_69be5_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_69be5_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_69be5_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_69be5_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_69be5_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_69be5_row0_col0\" class=\"data row0 col0\" >33.23</td>\n",
+ " <td id=\"T_69be5_row0_col1\" class=\"data row0 col1\" >3.19</td>\n",
+ " <td id=\"T_69be5_row0_col2\" class=\"data row0 col2\" >2.13</td>\n",
+ " <td id=\"T_69be5_row0_col3\" class=\"data row0 col3\" >0.20</td>\n",
+ " <td id=\"T_69be5_row0_col4\" class=\"data row0 col4\" >18.19</td>\n",
+ " <td id=\"T_69be5_row0_col5\" class=\"data row0 col5\" >5.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_69be5_row1_col0\" class=\"data row1 col0\" >22.28</td>\n",
+ " <td id=\"T_69be5_row1_col1\" class=\"data row1 col1\" >2.73</td>\n",
+ " <td id=\"T_69be5_row1_col2\" class=\"data row1 col2\" >2.10</td>\n",
+ " <td id=\"T_69be5_row1_col3\" class=\"data row1 col3\" >0.26</td>\n",
+ " <td id=\"T_69be5_row1_col4\" class=\"data row1 col4\" >18.30</td>\n",
+ " <td id=\"T_69be5_row1_col5\" class=\"data row1 col5\" >5.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_69be5_row2_col0\" class=\"data row2 col0\" >28.85</td>\n",
+ " <td id=\"T_69be5_row2_col1\" class=\"data row2 col1\" >2.93</td>\n",
+ " <td id=\"T_69be5_row2_col2\" class=\"data row2 col2\" >2.22</td>\n",
+ " <td id=\"T_69be5_row2_col3\" class=\"data row2 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row2_col4\" class=\"data row2 col4\" >12.43</td>\n",
+ " <td id=\"T_69be5_row2_col5\" class=\"data row2 col5\" >4.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_69be5_row3_col0\" class=\"data row3 col0\" >34.45</td>\n",
+ " <td id=\"T_69be5_row3_col1\" class=\"data row3 col1\" >3.45</td>\n",
+ " <td id=\"T_69be5_row3_col2\" class=\"data row3 col2\" >2.15</td>\n",
+ " <td id=\"T_69be5_row3_col3\" class=\"data row3 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row3_col4\" class=\"data row3 col4\" >12.87</td>\n",
+ " <td id=\"T_69be5_row3_col5\" class=\"data row3 col5\" >4.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_69be5_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_69be5_row4_col0\" class=\"data row4 col0\" >41.23</td>\n",
+ " <td id=\"T_69be5_row4_col1\" class=\"data row4 col1\" >4.41</td>\n",
+ " <td id=\"T_69be5_row4_col2\" class=\"data row4 col2\" >2.64</td>\n",
+ " <td id=\"T_69be5_row4_col3\" class=\"data row4 col3\" >0.28</td>\n",
+ " <td id=\"T_69be5_row4_col4\" class=\"data row4 col4\" >5.64</td>\n",
+ " <td id=\"T_69be5_row4_col5\" class=\"data row4 col5\" >2.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_69be5_row5_col0\" class=\"data row5 col0\" >19.13</td>\n",
+ " <td id=\"T_69be5_row5_col1\" class=\"data row5 col1\" >2.61</td>\n",
+ " <td id=\"T_69be5_row5_col2\" class=\"data row5 col2\" >1.81</td>\n",
+ " <td id=\"T_69be5_row5_col3\" class=\"data row5 col3\" >0.25</td>\n",
+ " <td id=\"T_69be5_row5_col4\" class=\"data row5 col4\" >25.17</td>\n",
+ " <td id=\"T_69be5_row5_col5\" class=\"data row5 col5\" >7.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_69be5_row6_col0\" class=\"data row6 col0\" >23.08</td>\n",
+ " <td id=\"T_69be5_row6_col1\" class=\"data row6 col1\" >2.94</td>\n",
+ " <td id=\"T_69be5_row6_col2\" class=\"data row6 col2\" >1.77</td>\n",
+ " <td id=\"T_69be5_row6_col3\" class=\"data row6 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row6_col4\" class=\"data row6 col4\" >19.39</td>\n",
+ " <td id=\"T_69be5_row6_col5\" class=\"data row6 col5\" >5.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_69be5_row7_col0\" class=\"data row7 col0\" >29.53</td>\n",
+ " <td id=\"T_69be5_row7_col1\" class=\"data row7 col1\" >3.05</td>\n",
+ " <td id=\"T_69be5_row7_col2\" class=\"data row7 col2\" >1.84</td>\n",
+ " <td id=\"T_69be5_row7_col3\" class=\"data row7 col3\" >0.19</td>\n",
+ " <td id=\"T_69be5_row7_col4\" class=\"data row7 col4\" >18.31</td>\n",
+ " <td id=\"T_69be5_row7_col5\" class=\"data row7 col5\" >4.57</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_69be5_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_69be5_row8_col0\" class=\"data row8 col0\" >28.54</td>\n",
+ " <td id=\"T_69be5_row8_col1\" class=\"data row8 col1\" >3.23</td>\n",
+ " <td id=\"T_69be5_row8_col2\" class=\"data row8 col2\" >1.83</td>\n",
+ " <td id=\"T_69be5_row8_col3\" class=\"data row8 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row8_col4\" class=\"data row8 col4\" >24.14</td>\n",
+ " <td id=\"T_69be5_row8_col5\" class=\"data row8 col5\" >5.81</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_69be5_row9_col0\" class=\"data row9 col0\" >28.82</td>\n",
+ " <td id=\"T_69be5_row9_col1\" class=\"data row9 col1\" >3.49</td>\n",
+ " <td id=\"T_69be5_row9_col2\" class=\"data row9 col2\" >2.72</td>\n",
+ " <td id=\"T_69be5_row9_col3\" class=\"data row9 col3\" >0.33</td>\n",
+ " <td id=\"T_69be5_row9_col4\" class=\"data row9 col4\" >3.68</td>\n",
+ " <td id=\"T_69be5_row9_col5\" class=\"data row9 col5\" >1.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_69be5_row10_col0\" class=\"data row10 col0\" >24.16</td>\n",
+ " <td id=\"T_69be5_row10_col1\" class=\"data row10 col1\" >3.15</td>\n",
+ " <td id=\"T_69be5_row10_col2\" class=\"data row10 col2\" >1.86</td>\n",
+ " <td id=\"T_69be5_row10_col3\" class=\"data row10 col3\" >0.24</td>\n",
+ " <td id=\"T_69be5_row10_col4\" class=\"data row10 col4\" >16.76</td>\n",
+ " <td id=\"T_69be5_row10_col5\" class=\"data row10 col5\" >4.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_69be5_row11_col0\" class=\"data row11 col0\" >30.62</td>\n",
+ " <td id=\"T_69be5_row11_col1\" class=\"data row11 col1\" >2.93</td>\n",
+ " <td id=\"T_69be5_row11_col2\" class=\"data row11 col2\" >1.91</td>\n",
+ " <td id=\"T_69be5_row11_col3\" class=\"data row11 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row11_col4\" class=\"data row11 col4\" >16.72</td>\n",
+ " <td id=\"T_69be5_row11_col5\" class=\"data row11 col5\" >5.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_69be5_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_69be5_row12_col0\" class=\"data row12 col0\" >28.91</td>\n",
+ " <td id=\"T_69be5_row12_col1\" class=\"data row12 col1\" >3.23</td>\n",
+ " <td id=\"T_69be5_row12_col2\" class=\"data row12 col2\" >1.85</td>\n",
+ " <td id=\"T_69be5_row12_col3\" class=\"data row12 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row12_col4\" class=\"data row12 col4\" >23.21</td>\n",
+ " <td id=\"T_69be5_row12_col5\" class=\"data row12 col5\" >5.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_69be5_row13_col0\" class=\"data row13 col0\" >19.47</td>\n",
+ " <td id=\"T_69be5_row13_col1\" class=\"data row13 col1\" >2.48</td>\n",
+ " <td id=\"T_69be5_row13_col2\" class=\"data row13 col2\" >1.84</td>\n",
+ " <td id=\"T_69be5_row13_col3\" class=\"data row13 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row13_col4\" class=\"data row13 col4\" >24.07</td>\n",
+ " <td id=\"T_69be5_row13_col5\" class=\"data row13 col5\" >6.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_69be5_row14_col0\" class=\"data row14 col0\" >32.57</td>\n",
+ " <td id=\"T_69be5_row14_col1\" class=\"data row14 col1\" >4.41</td>\n",
+ " <td id=\"T_69be5_row14_col2\" class=\"data row14 col2\" >2.50</td>\n",
+ " <td id=\"T_69be5_row14_col3\" class=\"data row14 col3\" >0.34</td>\n",
+ " <td id=\"T_69be5_row14_col4\" class=\"data row14 col4\" >0.83</td>\n",
+ " <td id=\"T_69be5_row14_col5\" class=\"data row14 col5\" >0.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_69be5_row15_col0\" class=\"data row15 col0\" >30.35</td>\n",
+ " <td id=\"T_69be5_row15_col1\" class=\"data row15 col1\" >3.47</td>\n",
+ " <td id=\"T_69be5_row15_col2\" class=\"data row15 col2\" >1.89</td>\n",
+ " <td id=\"T_69be5_row15_col3\" class=\"data row15 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row15_col4\" class=\"data row15 col4\" >17.76</td>\n",
+ " <td id=\"T_69be5_row15_col5\" class=\"data row15 col5\" >5.63</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_69be5_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_69be5_row16_col0\" class=\"data row16 col0\" >28.49</td>\n",
+ " <td id=\"T_69be5_row16_col1\" class=\"data row16 col1\" >3.15</td>\n",
+ " <td id=\"T_69be5_row16_col2\" class=\"data row16 col2\" >1.82</td>\n",
+ " <td id=\"T_69be5_row16_col3\" class=\"data row16 col3\" >0.20</td>\n",
+ " <td id=\"T_69be5_row16_col4\" class=\"data row16 col4\" >24.04</td>\n",
+ " <td id=\"T_69be5_row16_col5\" class=\"data row16 col5\" >5.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_69be5_row17_col0\" class=\"data row17 col0\" >19.68</td>\n",
+ " <td id=\"T_69be5_row17_col1\" class=\"data row17 col1\" >2.71</td>\n",
+ " <td id=\"T_69be5_row17_col2\" class=\"data row17 col2\" >1.86</td>\n",
+ " <td id=\"T_69be5_row17_col3\" class=\"data row17 col3\" >0.26</td>\n",
+ " <td id=\"T_69be5_row17_col4\" class=\"data row17 col4\" >24.38</td>\n",
+ " <td id=\"T_69be5_row17_col5\" class=\"data row17 col5\" >7.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_69be5_row18_col0\" class=\"data row18 col0\" >22.82</td>\n",
+ " <td id=\"T_69be5_row18_col1\" class=\"data row18 col1\" >3.28</td>\n",
+ " <td id=\"T_69be5_row18_col2\" class=\"data row18 col2\" >1.75</td>\n",
+ " <td id=\"T_69be5_row18_col3\" class=\"data row18 col3\" >0.25</td>\n",
+ " <td id=\"T_69be5_row18_col4\" class=\"data row18 col4\" >20.84</td>\n",
+ " <td id=\"T_69be5_row18_col5\" class=\"data row18 col5\" >5.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_69be5_row19_col0\" class=\"data row19 col0\" >40.71</td>\n",
+ " <td id=\"T_69be5_row19_col1\" class=\"data row19 col1\" >4.70</td>\n",
+ " <td id=\"T_69be5_row19_col2\" class=\"data row19 col2\" >2.54</td>\n",
+ " <td id=\"T_69be5_row19_col3\" class=\"data row19 col3\" >0.29</td>\n",
+ " <td id=\"T_69be5_row19_col4\" class=\"data row19 col4\" >1.99</td>\n",
+ " <td id=\"T_69be5_row19_col5\" class=\"data row19 col5\" >1.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_69be5_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_69be5_row20_col0\" class=\"data row20 col0\" >28.37</td>\n",
+ " <td id=\"T_69be5_row20_col1\" class=\"data row20 col1\" >3.44</td>\n",
+ " <td id=\"T_69be5_row20_col2\" class=\"data row20 col2\" >1.81</td>\n",
+ " <td id=\"T_69be5_row20_col3\" class=\"data row20 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row20_col4\" class=\"data row20 col4\" >7.93</td>\n",
+ " <td id=\"T_69be5_row20_col5\" class=\"data row20 col5\" >2.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_69be5_row21_col0\" class=\"data row21 col0\" >15.82</td>\n",
+ " <td id=\"T_69be5_row21_col1\" class=\"data row21 col1\" >2.82</td>\n",
+ " <td id=\"T_69be5_row21_col2\" class=\"data row21 col2\" >1.49</td>\n",
+ " <td id=\"T_69be5_row21_col3\" class=\"data row21 col3\" >0.27</td>\n",
+ " <td id=\"T_69be5_row21_col4\" class=\"data row21 col4\" >6.60</td>\n",
+ " <td id=\"T_69be5_row21_col5\" class=\"data row21 col5\" >3.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_69be5_row22_col0\" class=\"data row22 col0\" >19.78</td>\n",
+ " <td id=\"T_69be5_row22_col1\" class=\"data row22 col1\" >2.75</td>\n",
+ " <td id=\"T_69be5_row22_col2\" class=\"data row22 col2\" >1.52</td>\n",
+ " <td id=\"T_69be5_row22_col3\" class=\"data row22 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row22_col4\" class=\"data row22 col4\" >26.01</td>\n",
+ " <td id=\"T_69be5_row22_col5\" class=\"data row22 col5\" >6.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_69be5_row23_col0\" class=\"data row23 col0\" >26.56</td>\n",
+ " <td id=\"T_69be5_row23_col1\" class=\"data row23 col1\" >3.13</td>\n",
+ " <td id=\"T_69be5_row23_col2\" class=\"data row23 col2\" >1.65</td>\n",
+ " <td id=\"T_69be5_row23_col3\" class=\"data row23 col3\" >0.19</td>\n",
+ " <td id=\"T_69be5_row23_col4\" class=\"data row23 col4\" >23.33</td>\n",
+ " <td id=\"T_69be5_row23_col5\" class=\"data row23 col5\" >5.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_69be5_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_69be5_row24_col0\" class=\"data row24 col0\" >22.43</td>\n",
+ " <td id=\"T_69be5_row24_col1\" class=\"data row24 col1\" >3.34</td>\n",
+ " <td id=\"T_69be5_row24_col2\" class=\"data row24 col2\" >1.43</td>\n",
+ " <td id=\"T_69be5_row24_col3\" class=\"data row24 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row24_col4\" class=\"data row24 col4\" >9.81</td>\n",
+ " <td id=\"T_69be5_row24_col5\" class=\"data row24 col5\" >3.72</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_69be5_row25_col0\" class=\"data row25 col0\" >16.60</td>\n",
+ " <td id=\"T_69be5_row25_col1\" class=\"data row25 col1\" >2.28</td>\n",
+ " <td id=\"T_69be5_row25_col2\" class=\"data row25 col2\" >1.57</td>\n",
+ " <td id=\"T_69be5_row25_col3\" class=\"data row25 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row25_col4\" class=\"data row25 col4\" >31.71</td>\n",
+ " <td id=\"T_69be5_row25_col5\" class=\"data row25 col5\" >8.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_69be5_row26_col0\" class=\"data row26 col0\" >15.38</td>\n",
+ " <td id=\"T_69be5_row26_col1\" class=\"data row26 col1\" >2.99</td>\n",
+ " <td id=\"T_69be5_row26_col2\" class=\"data row26 col2\" >1.18</td>\n",
+ " <td id=\"T_69be5_row26_col3\" class=\"data row26 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row26_col4\" class=\"data row26 col4\" >2.86</td>\n",
+ " <td id=\"T_69be5_row26_col5\" class=\"data row26 col5\" >1.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_69be5_row27_col0\" class=\"data row27 col0\" >26.28</td>\n",
+ " <td id=\"T_69be5_row27_col1\" class=\"data row27 col1\" >3.07</td>\n",
+ " <td id=\"T_69be5_row27_col2\" class=\"data row27 col2\" >1.64</td>\n",
+ " <td id=\"T_69be5_row27_col3\" class=\"data row27 col3\" >0.19</td>\n",
+ " <td id=\"T_69be5_row27_col4\" class=\"data row27 col4\" >23.93</td>\n",
+ " <td id=\"T_69be5_row27_col5\" class=\"data row27 col5\" >6.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_69be5_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_69be5_row28_col0\" class=\"data row28 col0\" >22.54</td>\n",
+ " <td id=\"T_69be5_row28_col1\" class=\"data row28 col1\" >3.40</td>\n",
+ " <td id=\"T_69be5_row28_col2\" class=\"data row28 col2\" >1.44</td>\n",
+ " <td id=\"T_69be5_row28_col3\" class=\"data row28 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row28_col4\" class=\"data row28 col4\" >8.87</td>\n",
+ " <td id=\"T_69be5_row28_col5\" class=\"data row28 col5\" >2.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_69be5_row29_col0\" class=\"data row29 col0\" >16.87</td>\n",
+ " <td id=\"T_69be5_row29_col1\" class=\"data row29 col1\" >2.40</td>\n",
+ " <td id=\"T_69be5_row29_col2\" class=\"data row29 col2\" >1.59</td>\n",
+ " <td id=\"T_69be5_row29_col3\" class=\"data row29 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row29_col4\" class=\"data row29 col4\" >31.16</td>\n",
+ " <td id=\"T_69be5_row29_col5\" class=\"data row29 col5\" >8.41</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_69be5_row30_col0\" class=\"data row30 col0\" >19.71</td>\n",
+ " <td id=\"T_69be5_row30_col1\" class=\"data row30 col1\" >2.95</td>\n",
+ " <td id=\"T_69be5_row30_col2\" class=\"data row30 col2\" >1.51</td>\n",
+ " <td id=\"T_69be5_row30_col3\" class=\"data row30 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row30_col4\" class=\"data row30 col4\" >29.52</td>\n",
+ " <td id=\"T_69be5_row30_col5\" class=\"data row30 col5\" >6.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_69be5_row31_col0\" class=\"data row31 col0\" >22.35</td>\n",
+ " <td id=\"T_69be5_row31_col1\" class=\"data row31 col1\" >3.46</td>\n",
+ " <td id=\"T_69be5_row31_col2\" class=\"data row31 col2\" >1.39</td>\n",
+ " <td id=\"T_69be5_row31_col3\" class=\"data row31 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row31_col4\" class=\"data row31 col4\" >3.92</td>\n",
+ " <td id=\"T_69be5_row31_col5\" class=\"data row31 col5\" >2.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_69be5_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_69be5_row32_col0\" class=\"data row32 col0\" >25.94</td>\n",
+ " <td id=\"T_69be5_row32_col1\" class=\"data row32 col1\" >2.61</td>\n",
+ " <td id=\"T_69be5_row32_col2\" class=\"data row32 col2\" >1.66</td>\n",
+ " <td id=\"T_69be5_row32_col3\" class=\"data row32 col3\" >0.17</td>\n",
+ " <td id=\"T_69be5_row32_col4\" class=\"data row32 col4\" >28.24</td>\n",
+ " <td id=\"T_69be5_row32_col5\" class=\"data row32 col5\" >6.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_69be5_row33_col0\" class=\"data row33 col0\" >16.00</td>\n",
+ " <td id=\"T_69be5_row33_col1\" class=\"data row33 col1\" >3.10</td>\n",
+ " <td id=\"T_69be5_row33_col2\" class=\"data row33 col2\" >1.51</td>\n",
+ " <td id=\"T_69be5_row33_col3\" class=\"data row33 col3\" >0.29</td>\n",
+ " <td id=\"T_69be5_row33_col4\" class=\"data row33 col4\" >6.56</td>\n",
+ " <td id=\"T_69be5_row33_col5\" class=\"data row33 col5\" >2.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_69be5_row34_col0\" class=\"data row34 col0\" >20.51</td>\n",
+ " <td id=\"T_69be5_row34_col1\" class=\"data row34 col1\" >3.40</td>\n",
+ " <td id=\"T_69be5_row34_col2\" class=\"data row34 col2\" >1.58</td>\n",
+ " <td id=\"T_69be5_row34_col3\" class=\"data row34 col3\" >0.26</td>\n",
+ " <td id=\"T_69be5_row34_col4\" class=\"data row34 col4\" >2.13</td>\n",
+ " <td id=\"T_69be5_row34_col5\" class=\"data row34 col5\" >1.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_69be5_row35_col0\" class=\"data row35 col0\" >27.08</td>\n",
+ " <td id=\"T_69be5_row35_col1\" class=\"data row35 col1\" >2.71</td>\n",
+ " <td id=\"T_69be5_row35_col2\" class=\"data row35 col2\" >1.69</td>\n",
+ " <td id=\"T_69be5_row35_col3\" class=\"data row35 col3\" >0.17</td>\n",
+ " <td id=\"T_69be5_row35_col4\" class=\"data row35 col4\" >23.26</td>\n",
+ " <td id=\"T_69be5_row35_col5\" class=\"data row35 col5\" >5.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_69be5_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_69be5_row36_col0\" class=\"data row36 col0\" >25.07</td>\n",
+ " <td id=\"T_69be5_row36_col1\" class=\"data row36 col1\" >3.10</td>\n",
+ " <td id=\"T_69be5_row36_col2\" class=\"data row36 col2\" >1.60</td>\n",
+ " <td id=\"T_69be5_row36_col3\" class=\"data row36 col3\" >0.20</td>\n",
+ " <td id=\"T_69be5_row36_col4\" class=\"data row36 col4\" >29.41</td>\n",
+ " <td id=\"T_69be5_row36_col5\" class=\"data row36 col5\" >6.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_69be5_row37_col0\" class=\"data row37 col0\" >15.78</td>\n",
+ " <td id=\"T_69be5_row37_col1\" class=\"data row37 col1\" >3.13</td>\n",
+ " <td id=\"T_69be5_row37_col2\" class=\"data row37 col2\" >1.49</td>\n",
+ " <td id=\"T_69be5_row37_col3\" class=\"data row37 col3\" >0.30</td>\n",
+ " <td id=\"T_69be5_row37_col4\" class=\"data row37 col4\" >6.59</td>\n",
+ " <td id=\"T_69be5_row37_col5\" class=\"data row37 col5\" >2.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_69be5_row38_col0\" class=\"data row38 col0\" >20.34</td>\n",
+ " <td id=\"T_69be5_row38_col1\" class=\"data row38 col1\" >2.71</td>\n",
+ " <td id=\"T_69be5_row38_col2\" class=\"data row38 col2\" >1.56</td>\n",
+ " <td id=\"T_69be5_row38_col3\" class=\"data row38 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row38_col4\" class=\"data row38 col4\" >27.61</td>\n",
+ " <td id=\"T_69be5_row38_col5\" class=\"data row38 col5\" >5.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_69be5_row39_col0\" class=\"data row39 col0\" >29.40</td>\n",
+ " <td id=\"T_69be5_row39_col1\" class=\"data row39 col1\" >3.83</td>\n",
+ " <td id=\"T_69be5_row39_col2\" class=\"data row39 col2\" >1.83</td>\n",
+ " <td id=\"T_69be5_row39_col3\" class=\"data row39 col3\" >0.24</td>\n",
+ " <td id=\"T_69be5_row39_col4\" class=\"data row39 col4\" >2.88</td>\n",
+ " <td id=\"T_69be5_row39_col5\" class=\"data row39 col5\" >2.03</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_69be5_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_69be5_row40_col0\" class=\"data row40 col0\" >25.51</td>\n",
+ " <td id=\"T_69be5_row40_col1\" class=\"data row40 col1\" >3.23</td>\n",
+ " <td id=\"T_69be5_row40_col2\" class=\"data row40 col2\" >1.63</td>\n",
+ " <td id=\"T_69be5_row40_col3\" class=\"data row40 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row40_col4\" class=\"data row40 col4\" >28.91</td>\n",
+ " <td id=\"T_69be5_row40_col5\" class=\"data row40 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_69be5_row41_col0\" class=\"data row41 col0\" >17.33</td>\n",
+ " <td id=\"T_69be5_row41_col1\" class=\"data row41 col1\" >2.21</td>\n",
+ " <td id=\"T_69be5_row41_col2\" class=\"data row41 col2\" >1.64</td>\n",
+ " <td id=\"T_69be5_row41_col3\" class=\"data row41 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row41_col4\" class=\"data row41 col4\" >28.84</td>\n",
+ " <td id=\"T_69be5_row41_col5\" class=\"data row41 col5\" >7.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_69be5_row42_col0\" class=\"data row42 col0\" >13.41</td>\n",
+ " <td id=\"T_69be5_row42_col1\" class=\"data row42 col1\" >2.46</td>\n",
+ " <td id=\"T_69be5_row42_col2\" class=\"data row42 col2\" >1.03</td>\n",
+ " <td id=\"T_69be5_row42_col3\" class=\"data row42 col3\" >0.19</td>\n",
+ " <td id=\"T_69be5_row42_col4\" class=\"data row42 col4\" >4.42</td>\n",
+ " <td id=\"T_69be5_row42_col5\" class=\"data row42 col5\" >2.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_69be5_row43_col0\" class=\"data row43 col0\" >18.96</td>\n",
+ " <td id=\"T_69be5_row43_col1\" class=\"data row43 col1\" >3.48</td>\n",
+ " <td id=\"T_69be5_row43_col2\" class=\"data row43 col2\" >1.18</td>\n",
+ " <td id=\"T_69be5_row43_col3\" class=\"data row43 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row43_col4\" class=\"data row43 col4\" >6.81</td>\n",
+ " <td id=\"T_69be5_row43_col5\" class=\"data row43 col5\" >3.82</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_69be5_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_69be5_row44_col0\" class=\"data row44 col0\" >16.90</td>\n",
+ " <td id=\"T_69be5_row44_col1\" class=\"data row44 col1\" >3.09</td>\n",
+ " <td id=\"T_69be5_row44_col2\" class=\"data row44 col2\" >1.08</td>\n",
+ " <td id=\"T_69be5_row44_col3\" class=\"data row44 col3\" >0.20</td>\n",
+ " <td id=\"T_69be5_row44_col4\" class=\"data row44 col4\" >13.31</td>\n",
+ " <td id=\"T_69be5_row44_col5\" class=\"data row44 col5\" >4.37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_69be5_row45_col0\" class=\"data row45 col0\" >9.52</td>\n",
+ " <td id=\"T_69be5_row45_col1\" class=\"data row45 col1\" >1.93</td>\n",
+ " <td id=\"T_69be5_row45_col2\" class=\"data row45 col2\" >0.90</td>\n",
+ " <td id=\"T_69be5_row45_col3\" class=\"data row45 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row45_col4\" class=\"data row45 col4\" >11.25</td>\n",
+ " <td id=\"T_69be5_row45_col5\" class=\"data row45 col5\" >4.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_69be5_row46_col0\" class=\"data row46 col0\" >10.03</td>\n",
+ " <td id=\"T_69be5_row46_col1\" class=\"data row46 col1\" >2.30</td>\n",
+ " <td id=\"T_69be5_row46_col2\" class=\"data row46 col2\" >0.77</td>\n",
+ " <td id=\"T_69be5_row46_col3\" class=\"data row46 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row46_col4\" class=\"data row46 col4\" >5.59</td>\n",
+ " <td id=\"T_69be5_row46_col5\" class=\"data row46 col5\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_69be5_row47_col0\" class=\"data row47 col0\" >23.16</td>\n",
+ " <td id=\"T_69be5_row47_col1\" class=\"data row47 col1\" >2.64</td>\n",
+ " <td id=\"T_69be5_row47_col2\" class=\"data row47 col2\" >1.44</td>\n",
+ " <td id=\"T_69be5_row47_col3\" class=\"data row47 col3\" >0.16</td>\n",
+ " <td id=\"T_69be5_row47_col4\" class=\"data row47 col4\" >30.42</td>\n",
+ " <td id=\"T_69be5_row47_col5\" class=\"data row47 col5\" >6.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_69be5_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_69be5_row48_col0\" class=\"data row48 col0\" >16.91</td>\n",
+ " <td id=\"T_69be5_row48_col1\" class=\"data row48 col1\" >3.03</td>\n",
+ " <td id=\"T_69be5_row48_col2\" class=\"data row48 col2\" >1.08</td>\n",
+ " <td id=\"T_69be5_row48_col3\" class=\"data row48 col3\" >0.19</td>\n",
+ " <td id=\"T_69be5_row48_col4\" class=\"data row48 col4\" >12.01</td>\n",
+ " <td id=\"T_69be5_row48_col5\" class=\"data row48 col5\" >3.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_69be5_row49_col0\" class=\"data row49 col0\" >9.84</td>\n",
+ " <td id=\"T_69be5_row49_col1\" class=\"data row49 col1\" >2.43</td>\n",
+ " <td id=\"T_69be5_row49_col2\" class=\"data row49 col2\" >0.93</td>\n",
+ " <td id=\"T_69be5_row49_col3\" class=\"data row49 col3\" >0.23</td>\n",
+ " <td id=\"T_69be5_row49_col4\" class=\"data row49 col4\" >11.13</td>\n",
+ " <td id=\"T_69be5_row49_col5\" class=\"data row49 col5\" >4.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_69be5_row50_col0\" class=\"data row50 col0\" >16.04</td>\n",
+ " <td id=\"T_69be5_row50_col1\" class=\"data row50 col1\" >2.59</td>\n",
+ " <td id=\"T_69be5_row50_col2\" class=\"data row50 col2\" >1.23</td>\n",
+ " <td id=\"T_69be5_row50_col3\" class=\"data row50 col3\" >0.20</td>\n",
+ " <td id=\"T_69be5_row50_col4\" class=\"data row50 col4\" >37.96</td>\n",
+ " <td id=\"T_69be5_row50_col5\" class=\"data row50 col5\" >7.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_69be5_row51_col0\" class=\"data row51 col0\" >17.76</td>\n",
+ " <td id=\"T_69be5_row51_col1\" class=\"data row51 col1\" >2.94</td>\n",
+ " <td id=\"T_69be5_row51_col2\" class=\"data row51 col2\" >1.11</td>\n",
+ " <td id=\"T_69be5_row51_col3\" class=\"data row51 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row51_col4\" class=\"data row51 col4\" >5.55</td>\n",
+ " <td id=\"T_69be5_row51_col5\" class=\"data row51 col5\" >2.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_69be5_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_69be5_row52_col0\" class=\"data row52 col0\" >14.28</td>\n",
+ " <td id=\"T_69be5_row52_col1\" class=\"data row52 col1\" >2.83</td>\n",
+ " <td id=\"T_69be5_row52_col2\" class=\"data row52 col2\" >0.91</td>\n",
+ " <td id=\"T_69be5_row52_col3\" class=\"data row52 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row52_col4\" class=\"data row52 col4\" >14.16</td>\n",
+ " <td id=\"T_69be5_row52_col5\" class=\"data row52 col5\" >4.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_69be5_row53_col0\" class=\"data row53 col0\" >15.03</td>\n",
+ " <td id=\"T_69be5_row53_col1\" class=\"data row53 col1\" >2.36</td>\n",
+ " <td id=\"T_69be5_row53_col2\" class=\"data row53 col2\" >1.42</td>\n",
+ " <td id=\"T_69be5_row53_col3\" class=\"data row53 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row53_col4\" class=\"data row53 col4\" >36.04</td>\n",
+ " <td id=\"T_69be5_row53_col5\" class=\"data row53 col5\" >8.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_69be5_row54_col0\" class=\"data row54 col0\" >6.76</td>\n",
+ " <td id=\"T_69be5_row54_col1\" class=\"data row54 col1\" >1.75</td>\n",
+ " <td id=\"T_69be5_row54_col2\" class=\"data row54 col2\" >0.52</td>\n",
+ " <td id=\"T_69be5_row54_col3\" class=\"data row54 col3\" >0.13</td>\n",
+ " <td id=\"T_69be5_row54_col4\" class=\"data row54 col4\" >8.71</td>\n",
+ " <td id=\"T_69be5_row54_col5\" class=\"data row54 col5\" >3.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_69be5_row55_col0\" class=\"data row55 col0\" >12.32</td>\n",
+ " <td id=\"T_69be5_row55_col1\" class=\"data row55 col1\" >2.84</td>\n",
+ " <td id=\"T_69be5_row55_col2\" class=\"data row55 col2\" >0.77</td>\n",
+ " <td id=\"T_69be5_row55_col3\" class=\"data row55 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row55_col4\" class=\"data row55 col4\" >10.02</td>\n",
+ " <td id=\"T_69be5_row55_col5\" class=\"data row55 col5\" >4.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_69be5_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_69be5_row56_col0\" class=\"data row56 col0\" >22.48</td>\n",
+ " <td id=\"T_69be5_row56_col1\" class=\"data row56 col1\" >3.47</td>\n",
+ " <td id=\"T_69be5_row56_col2\" class=\"data row56 col2\" >1.44</td>\n",
+ " <td id=\"T_69be5_row56_col3\" class=\"data row56 col3\" >0.22</td>\n",
+ " <td id=\"T_69be5_row56_col4\" class=\"data row56 col4\" >34.29</td>\n",
+ " <td id=\"T_69be5_row56_col5\" class=\"data row56 col5\" >6.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_69be5_row57_col0\" class=\"data row57 col0\" >10.39</td>\n",
+ " <td id=\"T_69be5_row57_col1\" class=\"data row57 col1\" >2.63</td>\n",
+ " <td id=\"T_69be5_row57_col2\" class=\"data row57 col2\" >0.98</td>\n",
+ " <td id=\"T_69be5_row57_col3\" class=\"data row57 col3\" >0.25</td>\n",
+ " <td id=\"T_69be5_row57_col4\" class=\"data row57 col4\" >11.73</td>\n",
+ " <td id=\"T_69be5_row57_col5\" class=\"data row57 col5\" >4.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_69be5_row58_col0\" class=\"data row58 col0\" >8.76</td>\n",
+ " <td id=\"T_69be5_row58_col1\" class=\"data row58 col1\" >2.31</td>\n",
+ " <td id=\"T_69be5_row58_col2\" class=\"data row58 col2\" >0.67</td>\n",
+ " <td id=\"T_69be5_row58_col3\" class=\"data row58 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row58_col4\" class=\"data row58 col4\" >7.66</td>\n",
+ " <td id=\"T_69be5_row58_col5\" class=\"data row58 col5\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_69be5_row59_col0\" class=\"data row59 col0\" >14.36</td>\n",
+ " <td id=\"T_69be5_row59_col1\" class=\"data row59 col1\" >3.38</td>\n",
+ " <td id=\"T_69be5_row59_col2\" class=\"data row59 col2\" >0.89</td>\n",
+ " <td id=\"T_69be5_row59_col3\" class=\"data row59 col3\" >0.21</td>\n",
+ " <td id=\"T_69be5_row59_col4\" class=\"data row59 col4\" >8.64</td>\n",
+ " <td id=\"T_69be5_row59_col5\" class=\"data row59 col5\" >4.17</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_69be5_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_69be5_row60_col0\" class=\"data row60 col0\" >11.17</td>\n",
+ " <td id=\"T_69be5_row60_col1\" class=\"data row60 col1\" >2.49</td>\n",
+ " <td id=\"T_69be5_row60_col2\" class=\"data row60 col2\" >0.71</td>\n",
+ " <td id=\"T_69be5_row60_col3\" class=\"data row60 col3\" >0.16</td>\n",
+ " <td id=\"T_69be5_row60_col4\" class=\"data row60 col4\" >18.19</td>\n",
+ " <td id=\"T_69be5_row60_col5\" class=\"data row60 col5\" >5.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_69be5_row61_col0\" class=\"data row61 col0\" >6.50</td>\n",
+ " <td id=\"T_69be5_row61_col1\" class=\"data row61 col1\" >1.95</td>\n",
+ " <td id=\"T_69be5_row61_col2\" class=\"data row61 col2\" >0.61</td>\n",
+ " <td id=\"T_69be5_row61_col3\" class=\"data row61 col3\" >0.18</td>\n",
+ " <td id=\"T_69be5_row61_col4\" class=\"data row61 col4\" >18.30</td>\n",
+ " <td id=\"T_69be5_row61_col5\" class=\"data row61 col5\" >5.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_69be5_row62_col0\" class=\"data row62 col0\" >4.04</td>\n",
+ " <td id=\"T_69be5_row62_col1\" class=\"data row62 col1\" >1.29</td>\n",
+ " <td id=\"T_69be5_row62_col2\" class=\"data row62 col2\" >0.31</td>\n",
+ " <td id=\"T_69be5_row62_col3\" class=\"data row62 col3\" >0.10</td>\n",
+ " <td id=\"T_69be5_row62_col4\" class=\"data row62 col4\" >12.43</td>\n",
+ " <td id=\"T_69be5_row62_col5\" class=\"data row62 col5\" >4.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_69be5_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_69be5_row63_col0\" class=\"data row63 col0\" >9.60</td>\n",
+ " <td id=\"T_69be5_row63_col1\" class=\"data row63 col1\" >2.24</td>\n",
+ " <td id=\"T_69be5_row63_col2\" class=\"data row63 col2\" >0.60</td>\n",
+ " <td id=\"T_69be5_row63_col3\" class=\"data row63 col3\" >0.14</td>\n",
+ " <td id=\"T_69be5_row63_col4\" class=\"data row63 col4\" >12.87</td>\n",
+ " <td id=\"T_69be5_row63_col5\" class=\"data row63 col5\" >4.22</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dff41490>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_3ee73 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_3ee73 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_3ee73_row0_col0, #T_3ee73_row0_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row0_col4, #T_3ee73_row15_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row1_col0, #T_3ee73_row1_col2 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row1_col4 {\n",
+ " background-color: #fa6060;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row2_col0, #T_3ee73_row2_col2, #T_3ee73_row4_col0, #T_3ee73_row4_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row2_col4 {\n",
+ " background-color: #fa5b5b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row3_col0, #T_3ee73_row3_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row3_col4 {\n",
+ " background-color: #fc3e3e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row4_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row5_col0, #T_3ee73_row5_col2, #T_3ee73_row9_col0, #T_3ee73_row9_col2 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row5_col4 {\n",
+ " background-color: #fb5050;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row6_col0, #T_3ee73_row6_col2 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row6_col4 {\n",
+ " background-color: #fb4747;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row7_col0, #T_3ee73_row7_col2 {\n",
+ " background-color: #82fa82;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row7_col4 {\n",
+ " background-color: #fc3838;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row8_col0, #T_3ee73_row8_col2 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row8_col4 {\n",
+ " background-color: #fc4343;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row9_col4 {\n",
+ " background-color: #ff0505;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row10_col0, #T_3ee73_row10_col2 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row10_col4 {\n",
+ " background-color: #fd2323;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row11_col0, #T_3ee73_row11_col2 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row11_col4 {\n",
+ " background-color: #f88282;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row12_col0, #T_3ee73_row12_col2 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row12_col4 {\n",
+ " background-color: #f98080;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row13_col0, #T_3ee73_row13_col2 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row13_col4 {\n",
+ " background-color: #f7a0a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row14_col0, #T_3ee73_row14_col2 {\n",
+ " background-color: #b7f6b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_3ee73_row14_col4 {\n",
+ " background-color: #fa6666;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_3ee73_row15_col0, #T_3ee73_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_3ee73\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_3ee73_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_3ee73_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_3ee73_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_3ee73_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_3ee73_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_3ee73_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_3ee73_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_3ee73_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_3ee73_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_3ee73_row0_col0\" class=\"data row0 col0\" >118.81</td>\n",
+ " <td id=\"T_3ee73_row0_col1\" class=\"data row0 col1\" >5.14</td>\n",
+ " <td id=\"T_3ee73_row0_col2\" class=\"data row0 col2\" >2.15</td>\n",
+ " <td id=\"T_3ee73_row0_col3\" class=\"data row0 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row0_col4\" class=\"data row0 col4\" >15.31</td>\n",
+ " <td id=\"T_3ee73_row0_col5\" class=\"data row0 col5\" >2.67</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_3ee73_row1_col0\" class=\"data row1 col0\" >112.97</td>\n",
+ " <td id=\"T_3ee73_row1_col1\" class=\"data row1 col1\" >4.90</td>\n",
+ " <td id=\"T_3ee73_row1_col2\" class=\"data row1 col2\" >2.04</td>\n",
+ " <td id=\"T_3ee73_row1_col3\" class=\"data row1 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row1_col4\" class=\"data row1 col4\" >16.30</td>\n",
+ " <td id=\"T_3ee73_row1_col5\" class=\"data row1 col5\" >2.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_3ee73_row2_col0\" class=\"data row2 col0\" >112.14</td>\n",
+ " <td id=\"T_3ee73_row2_col1\" class=\"data row2 col1\" >5.71</td>\n",
+ " <td id=\"T_3ee73_row2_col2\" class=\"data row2 col2\" >2.03</td>\n",
+ " <td id=\"T_3ee73_row2_col3\" class=\"data row2 col3\" >0.10</td>\n",
+ " <td id=\"T_3ee73_row2_col4\" class=\"data row2 col4\" >16.33</td>\n",
+ " <td id=\"T_3ee73_row2_col5\" class=\"data row2 col5\" >2.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_3ee73_row3_col0\" class=\"data row3 col0\" >111.29</td>\n",
+ " <td id=\"T_3ee73_row3_col1\" class=\"data row3 col1\" >5.47</td>\n",
+ " <td id=\"T_3ee73_row3_col2\" class=\"data row3 col2\" >2.01</td>\n",
+ " <td id=\"T_3ee73_row3_col3\" class=\"data row3 col3\" >0.10</td>\n",
+ " <td id=\"T_3ee73_row3_col4\" class=\"data row3 col4\" >16.52</td>\n",
+ " <td id=\"T_3ee73_row3_col5\" class=\"data row3 col5\" >2.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_3ee73_row4_col0\" class=\"data row4 col0\" >111.70</td>\n",
+ " <td id=\"T_3ee73_row4_col1\" class=\"data row4 col1\" >5.56</td>\n",
+ " <td id=\"T_3ee73_row4_col2\" class=\"data row4 col2\" >2.02</td>\n",
+ " <td id=\"T_3ee73_row4_col3\" class=\"data row4 col3\" >0.10</td>\n",
+ " <td id=\"T_3ee73_row4_col4\" class=\"data row4 col4\" >16.95</td>\n",
+ " <td id=\"T_3ee73_row4_col5\" class=\"data row4 col5\" >2.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_3ee73_row5_col0\" class=\"data row5 col0\" >90.54</td>\n",
+ " <td id=\"T_3ee73_row5_col1\" class=\"data row5 col1\" >4.73</td>\n",
+ " <td id=\"T_3ee73_row5_col2\" class=\"data row5 col2\" >1.64</td>\n",
+ " <td id=\"T_3ee73_row5_col3\" class=\"data row5 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row5_col4\" class=\"data row5 col4\" >16.40</td>\n",
+ " <td id=\"T_3ee73_row5_col5\" class=\"data row5 col5\" >2.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_3ee73_row6_col0\" class=\"data row6 col0\" >80.70</td>\n",
+ " <td id=\"T_3ee73_row6_col1\" class=\"data row6 col1\" >4.79</td>\n",
+ " <td id=\"T_3ee73_row6_col2\" class=\"data row6 col2\" >1.46</td>\n",
+ " <td id=\"T_3ee73_row6_col3\" class=\"data row6 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row6_col4\" class=\"data row6 col4\" >16.47</td>\n",
+ " <td id=\"T_3ee73_row6_col5\" class=\"data row6 col5\" >2.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_3ee73_row7_col0\" class=\"data row7 col0\" >81.48</td>\n",
+ " <td id=\"T_3ee73_row7_col1\" class=\"data row7 col1\" >4.44</td>\n",
+ " <td id=\"T_3ee73_row7_col2\" class=\"data row7 col2\" >1.47</td>\n",
+ " <td id=\"T_3ee73_row7_col3\" class=\"data row7 col3\" >0.08</td>\n",
+ " <td id=\"T_3ee73_row7_col4\" class=\"data row7 col4\" >16.56</td>\n",
+ " <td id=\"T_3ee73_row7_col5\" class=\"data row7 col5\" >2.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_3ee73_row8_col0\" class=\"data row8 col0\" >89.54</td>\n",
+ " <td id=\"T_3ee73_row8_col1\" class=\"data row8 col1\" >5.09</td>\n",
+ " <td id=\"T_3ee73_row8_col2\" class=\"data row8 col2\" >1.62</td>\n",
+ " <td id=\"T_3ee73_row8_col3\" class=\"data row8 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row8_col4\" class=\"data row8 col4\" >16.49</td>\n",
+ " <td id=\"T_3ee73_row8_col5\" class=\"data row8 col5\" >2.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_3ee73_row9_col0\" class=\"data row9 col0\" >90.59</td>\n",
+ " <td id=\"T_3ee73_row9_col1\" class=\"data row9 col1\" >4.96</td>\n",
+ " <td id=\"T_3ee73_row9_col2\" class=\"data row9 col2\" >1.64</td>\n",
+ " <td id=\"T_3ee73_row9_col3\" class=\"data row9 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row9_col4\" class=\"data row9 col4\" >16.92</td>\n",
+ " <td id=\"T_3ee73_row9_col5\" class=\"data row9 col5\" >2.63</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_3ee73_row10_col0\" class=\"data row10 col0\" >75.21</td>\n",
+ " <td id=\"T_3ee73_row10_col1\" class=\"data row10 col1\" >4.72</td>\n",
+ " <td id=\"T_3ee73_row10_col2\" class=\"data row10 col2\" >1.36</td>\n",
+ " <td id=\"T_3ee73_row10_col3\" class=\"data row10 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row10_col4\" class=\"data row10 col4\" >16.72</td>\n",
+ " <td id=\"T_3ee73_row10_col5\" class=\"data row10 col5\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_3ee73_row11_col0\" class=\"data row11 col0\" >59.61</td>\n",
+ " <td id=\"T_3ee73_row11_col1\" class=\"data row11 col1\" >4.21</td>\n",
+ " <td id=\"T_3ee73_row11_col2\" class=\"data row11 col2\" >1.08</td>\n",
+ " <td id=\"T_3ee73_row11_col3\" class=\"data row11 col3\" >0.08</td>\n",
+ " <td id=\"T_3ee73_row11_col4\" class=\"data row11 col4\" >16.07</td>\n",
+ " <td id=\"T_3ee73_row11_col5\" class=\"data row11 col5\" >2.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_3ee73_row12_col0\" class=\"data row12 col0\" >60.55</td>\n",
+ " <td id=\"T_3ee73_row12_col1\" class=\"data row12 col1\" >4.44</td>\n",
+ " <td id=\"T_3ee73_row12_col2\" class=\"data row12 col2\" >1.09</td>\n",
+ " <td id=\"T_3ee73_row12_col3\" class=\"data row12 col3\" >0.08</td>\n",
+ " <td id=\"T_3ee73_row12_col4\" class=\"data row12 col4\" >16.08</td>\n",
+ " <td id=\"T_3ee73_row12_col5\" class=\"data row12 col5\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_3ee73_row13_col0\" class=\"data row13 col0\" >48.38</td>\n",
+ " <td id=\"T_3ee73_row13_col1\" class=\"data row13 col1\" >4.17</td>\n",
+ " <td id=\"T_3ee73_row13_col2\" class=\"data row13 col2\" >0.88</td>\n",
+ " <td id=\"T_3ee73_row13_col3\" class=\"data row13 col3\" >0.08</td>\n",
+ " <td id=\"T_3ee73_row13_col4\" class=\"data row13 col4\" >15.86</td>\n",
+ " <td id=\"T_3ee73_row13_col5\" class=\"data row13 col5\" >2.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_3ee73_row14_col0\" class=\"data row14 col0\" >55.99</td>\n",
+ " <td id=\"T_3ee73_row14_col1\" class=\"data row14 col1\" >4.72</td>\n",
+ " <td id=\"T_3ee73_row14_col2\" class=\"data row14 col2\" >1.01</td>\n",
+ " <td id=\"T_3ee73_row14_col3\" class=\"data row14 col3\" >0.09</td>\n",
+ " <td id=\"T_3ee73_row14_col4\" class=\"data row14 col4\" >16.26</td>\n",
+ " <td id=\"T_3ee73_row14_col5\" class=\"data row14 col5\" >2.56</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_3ee73_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_3ee73_row15_col0\" class=\"data row15 col0\" >31.30</td>\n",
+ " <td id=\"T_3ee73_row15_col1\" class=\"data row15 col1\" >3.13</td>\n",
+ " <td id=\"T_3ee73_row15_col2\" class=\"data row15 col2\" >0.57</td>\n",
+ " <td id=\"T_3ee73_row15_col3\" class=\"data row15 col3\" >0.06</td>\n",
+ " <td id=\"T_3ee73_row15_col4\" class=\"data row15 col4\" >15.31</td>\n",
+ " <td id=\"T_3ee73_row15_col5\" class=\"data row15 col5\" >2.67</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfc00110>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_money_and_energy(\"large\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Medium"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.plot_graph(\"medium\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_419a8 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_419a8 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_419a8_row0_col0, #T_419a8_row23_col2, #T_419a8_row60_col0 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row0_col2, #T_419a8_row42_col0, #T_419a8_row60_col2 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row1_col0, #T_419a8_row61_col0 {\n",
+ " background-color: #bef6be;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row1_col2, #T_419a8_row61_col2 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row2_col0, #T_419a8_row62_col0 {\n",
+ " background-color: #98f898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row2_col2, #T_419a8_row21_col0, #T_419a8_row27_col2, #T_419a8_row33_col0, #T_419a8_row62_col2 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row3_col0, #T_419a8_row63_col0 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row3_col2, #T_419a8_row34_col0, #T_419a8_row63_col2 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row4_col0 {\n",
+ " background-color: #3bff3b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row4_col2 {\n",
+ " background-color: #35ff35;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row5_col0 {\n",
+ " background-color: #d5f4d5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row5_col2 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row6_col0, #T_419a8_row38_col2 {\n",
+ " background-color: #bbf6bb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row6_col2, #T_419a8_row40_col2 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row7_col0, #T_419a8_row45_col0, #T_419a8_row57_col0 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row7_col2, #T_419a8_row48_col0, #T_419a8_row58_col2 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row8_col0, #T_419a8_row15_col0 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row8_col2 {\n",
+ " background-color: #8af98a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row9_col0, #T_419a8_row15_col2 {\n",
+ " background-color: #72fb72;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row9_col2 {\n",
+ " background-color: #85fa85;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row10_col0 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row10_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row11_col0 {\n",
+ " background-color: #a5f8a5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row11_col2, #T_419a8_row59_col0 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row12_col0 {\n",
+ " background-color: #aff7af;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row12_col2 {\n",
+ " background-color: #84fa84;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row13_col0, #T_419a8_row17_col0, #T_419a8_row41_col2, #T_419a8_row47_col0, #T_419a8_row56_col0 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row13_col2, #T_419a8_row18_col0 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row14_col0 {\n",
+ " background-color: #4afe4a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row14_col2 {\n",
+ " background-color: #6bfb6b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row16_col0 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row16_col2, #T_419a8_row54_col0 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row17_col2, #T_419a8_row23_col0, #T_419a8_row35_col0 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row18_col2 {\n",
+ " background-color: #a0f8a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row19_col0, #T_419a8_row39_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row19_col2 {\n",
+ " background-color: #37ff37;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row20_col0 {\n",
+ " background-color: #57fd57;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row20_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row21_col2, #T_419a8_row46_col0, #T_419a8_row58_col0 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row22_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row22_col2, #T_419a8_row27_col0, #T_419a8_row32_col0 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row24_col0 {\n",
+ " background-color: #66fc66;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row24_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row25_col0, #T_419a8_row29_col0 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row25_col2, #T_419a8_row41_col0 {\n",
+ " background-color: #dcf4dc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row26_col0, #T_419a8_row51_col0 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row26_col2 {\n",
+ " background-color: #6cfb6c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row28_col0, #T_419a8_row43_col0 {\n",
+ " background-color: #64fc64;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row28_col2 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row29_col2 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row30_col0 {\n",
+ " background-color: #daf4da;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row30_col2 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row31_col0 {\n",
+ " background-color: #58fd58;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row31_col2 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row32_col2 {\n",
+ " background-color: #9bf89b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row33_col2 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row34_col2 {\n",
+ " background-color: #68fc68;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row35_col2 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row36_col0 {\n",
+ " background-color: #c5f5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row36_col2 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row37_col0 {\n",
+ " background-color: #92f992;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row37_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row38_col0 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row39_col0 {\n",
+ " background-color: #4dfd4d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row40_col0 {\n",
+ " background-color: #c6f5c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row42_col2 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row43_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row44_col0 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row44_col2 {\n",
+ " background-color: #54fd54;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row45_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row46_col2 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row47_col2 {\n",
+ " background-color: #b5f6b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row48_col2 {\n",
+ " background-color: #59fd59;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row49_col0 {\n",
+ " background-color: #abf7ab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row49_col2 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row50_col0 {\n",
+ " background-color: #e7f3e7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row50_col2 {\n",
+ " background-color: #e6f3e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row51_col2 {\n",
+ " background-color: #45fe45;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row52_col0 {\n",
+ " background-color: #86fa86;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row52_col2 {\n",
+ " background-color: #5afc5a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row53_col0, #T_419a8_row53_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row54_col2, #T_419a8_row55_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row55_col2 {\n",
+ " background-color: #5bfc5b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row56_col2 {\n",
+ " background-color: #b7f6b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row57_col2 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_419a8_row59_col2 {\n",
+ " background-color: #50fd50;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_419a8\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_419a8_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_419a8_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_419a8_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_419a8_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_419a8_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_419a8_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_419a8_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_419a8_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_419a8_row0_col0\" class=\"data row0 col0\" >25.51</td>\n",
+ " <td id=\"T_419a8_row0_col1\" class=\"data row0 col1\" >3.28</td>\n",
+ " <td id=\"T_419a8_row0_col2\" class=\"data row0 col2\" >26.60</td>\n",
+ " <td id=\"T_419a8_row0_col3\" class=\"data row0 col3\" >3.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_419a8_row1_col0\" class=\"data row1 col0\" >15.92</td>\n",
+ " <td id=\"T_419a8_row1_col1\" class=\"data row1 col1\" >2.62</td>\n",
+ " <td id=\"T_419a8_row1_col2\" class=\"data row1 col2\" >17.40</td>\n",
+ " <td id=\"T_419a8_row1_col3\" class=\"data row1 col3\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_419a8_row2_col0\" class=\"data row2 col0\" >25.14</td>\n",
+ " <td id=\"T_419a8_row2_col1\" class=\"data row2 col1\" >2.74</td>\n",
+ " <td id=\"T_419a8_row2_col2\" class=\"data row2 col2\" >21.94</td>\n",
+ " <td id=\"T_419a8_row2_col3\" class=\"data row2 col3\" >2.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_419a8_row3_col0\" class=\"data row3 col0\" >28.28</td>\n",
+ " <td id=\"T_419a8_row3_col1\" class=\"data row3 col1\" >3.26</td>\n",
+ " <td id=\"T_419a8_row3_col2\" class=\"data row3 col2\" >28.11</td>\n",
+ " <td id=\"T_419a8_row3_col3\" class=\"data row3 col3\" >3.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_419a8_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_419a8_row4_col0\" class=\"data row4 col0\" >47.83</td>\n",
+ " <td id=\"T_419a8_row4_col1\" class=\"data row4 col1\" >4.22</td>\n",
+ " <td id=\"T_419a8_row4_col2\" class=\"data row4 col2\" >34.56</td>\n",
+ " <td id=\"T_419a8_row4_col3\" class=\"data row4 col3\" >4.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_419a8_row5_col0\" class=\"data row5 col0\" >10.47</td>\n",
+ " <td id=\"T_419a8_row5_col1\" class=\"data row5 col1\" >2.69</td>\n",
+ " <td id=\"T_419a8_row5_col2\" class=\"data row5 col2\" >14.35</td>\n",
+ " <td id=\"T_419a8_row5_col3\" class=\"data row5 col3\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_419a8_row6_col0\" class=\"data row6 col0\" >16.60</td>\n",
+ " <td id=\"T_419a8_row6_col1\" class=\"data row6 col1\" >2.56</td>\n",
+ " <td id=\"T_419a8_row6_col2\" class=\"data row6 col2\" >20.39</td>\n",
+ " <td id=\"T_419a8_row6_col3\" class=\"data row6 col3\" >2.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_419a8_row7_col0\" class=\"data row7 col0\" >20.29</td>\n",
+ " <td id=\"T_419a8_row7_col1\" class=\"data row7 col1\" >3.03</td>\n",
+ " <td id=\"T_419a8_row7_col2\" class=\"data row7 col2\" >25.45</td>\n",
+ " <td id=\"T_419a8_row7_col3\" class=\"data row7 col3\" >3.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_419a8_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_419a8_row8_col0\" class=\"data row8 col0\" >20.08</td>\n",
+ " <td id=\"T_419a8_row8_col1\" class=\"data row8 col1\" >3.27</td>\n",
+ " <td id=\"T_419a8_row8_col2\" class=\"data row8 col2\" >23.20</td>\n",
+ " <td id=\"T_419a8_row8_col3\" class=\"data row8 col3\" >3.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_419a8_row9_col0\" class=\"data row9 col0\" >34.58</td>\n",
+ " <td id=\"T_419a8_row9_col1\" class=\"data row9 col1\" >3.60</td>\n",
+ " <td id=\"T_419a8_row9_col2\" class=\"data row9 col2\" >23.92</td>\n",
+ " <td id=\"T_419a8_row9_col3\" class=\"data row9 col3\" >3.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_419a8_row10_col0\" class=\"data row10 col0\" >18.72</td>\n",
+ " <td id=\"T_419a8_row10_col1\" class=\"data row10 col1\" >2.60</td>\n",
+ " <td id=\"T_419a8_row10_col2\" class=\"data row10 col2\" >21.40</td>\n",
+ " <td id=\"T_419a8_row10_col3\" class=\"data row10 col3\" >2.92</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_419a8_row11_col0\" class=\"data row11 col0\" >22.00</td>\n",
+ " <td id=\"T_419a8_row11_col1\" class=\"data row11 col1\" >3.42</td>\n",
+ " <td id=\"T_419a8_row11_col2\" class=\"data row11 col2\" >25.68</td>\n",
+ " <td id=\"T_419a8_row11_col3\" class=\"data row11 col3\" >3.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_419a8_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_419a8_row12_col0\" class=\"data row12 col0\" >19.67</td>\n",
+ " <td id=\"T_419a8_row12_col1\" class=\"data row12 col1\" >3.13</td>\n",
+ " <td id=\"T_419a8_row12_col2\" class=\"data row12 col2\" >24.01</td>\n",
+ " <td id=\"T_419a8_row12_col3\" class=\"data row12 col3\" >3.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_419a8_row13_col0\" class=\"data row13 col0\" >11.32</td>\n",
+ " <td id=\"T_419a8_row13_col1\" class=\"data row13 col1\" >2.46</td>\n",
+ " <td id=\"T_419a8_row13_col2\" class=\"data row13 col2\" >16.04</td>\n",
+ " <td id=\"T_419a8_row13_col3\" class=\"data row13 col3\" >3.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_419a8_row14_col0\" class=\"data row14 col0\" >44.12</td>\n",
+ " <td id=\"T_419a8_row14_col1\" class=\"data row14 col1\" >4.61</td>\n",
+ " <td id=\"T_419a8_row14_col2\" class=\"data row14 col2\" >27.32</td>\n",
+ " <td id=\"T_419a8_row14_col3\" class=\"data row14 col3\" >4.44</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_419a8_row15_col0\" class=\"data row15 col0\" >20.09</td>\n",
+ " <td id=\"T_419a8_row15_col1\" class=\"data row15 col1\" >3.47</td>\n",
+ " <td id=\"T_419a8_row15_col2\" class=\"data row15 col2\" >26.47</td>\n",
+ " <td id=\"T_419a8_row15_col3\" class=\"data row15 col3\" >4.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_419a8_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_419a8_row16_col0\" class=\"data row16 col0\" >18.48</td>\n",
+ " <td id=\"T_419a8_row16_col1\" class=\"data row16 col1\" >2.84</td>\n",
+ " <td id=\"T_419a8_row16_col2\" class=\"data row16 col2\" >23.38</td>\n",
+ " <td id=\"T_419a8_row16_col3\" class=\"data row16 col3\" >3.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_419a8_row17_col0\" class=\"data row17 col0\" >11.54</td>\n",
+ " <td id=\"T_419a8_row17_col1\" class=\"data row17 col1\" >3.01</td>\n",
+ " <td id=\"T_419a8_row17_col2\" class=\"data row17 col2\" >16.15</td>\n",
+ " <td id=\"T_419a8_row17_col3\" class=\"data row17 col3\" >3.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_419a8_row18_col0\" class=\"data row18 col0\" >15.67</td>\n",
+ " <td id=\"T_419a8_row18_col1\" class=\"data row18 col1\" >2.90</td>\n",
+ " <td id=\"T_419a8_row18_col2\" class=\"data row18 col2\" >20.29</td>\n",
+ " <td id=\"T_419a8_row18_col3\" class=\"data row18 col3\" >3.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_419a8_row19_col0\" class=\"data row19 col0\" >49.58</td>\n",
+ " <td id=\"T_419a8_row19_col1\" class=\"data row19 col1\" >4.99</td>\n",
+ " <td id=\"T_419a8_row19_col2\" class=\"data row19 col2\" >34.27</td>\n",
+ " <td id=\"T_419a8_row19_col3\" class=\"data row19 col3\" >4.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_419a8_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_419a8_row20_col0\" class=\"data row20 col0\" >40.96</td>\n",
+ " <td id=\"T_419a8_row20_col1\" class=\"data row20 col1\" >3.24</td>\n",
+ " <td id=\"T_419a8_row20_col2\" class=\"data row20 col2\" >33.40</td>\n",
+ " <td id=\"T_419a8_row20_col3\" class=\"data row20 col3\" >4.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_419a8_row21_col0\" class=\"data row21 col0\" >26.36</td>\n",
+ " <td id=\"T_419a8_row21_col1\" class=\"data row21 col1\" >3.23</td>\n",
+ " <td id=\"T_419a8_row21_col2\" class=\"data row21 col2\" >24.04</td>\n",
+ " <td id=\"T_419a8_row21_col3\" class=\"data row21 col3\" >3.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_419a8_row22_col0\" class=\"data row22 col0\" >11.99</td>\n",
+ " <td id=\"T_419a8_row22_col1\" class=\"data row22 col1\" >2.32</td>\n",
+ " <td id=\"T_419a8_row22_col2\" class=\"data row22 col2\" >15.78</td>\n",
+ " <td id=\"T_419a8_row22_col3\" class=\"data row22 col3\" >2.92</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_419a8_row23_col0\" class=\"data row23 col0\" >15.77</td>\n",
+ " <td id=\"T_419a8_row23_col1\" class=\"data row23 col1\" >2.88</td>\n",
+ " <td id=\"T_419a8_row23_col2\" class=\"data row23 col2\" >21.50</td>\n",
+ " <td id=\"T_419a8_row23_col3\" class=\"data row23 col3\" >3.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_419a8_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_419a8_row24_col0\" class=\"data row24 col0\" >37.42</td>\n",
+ " <td id=\"T_419a8_row24_col1\" class=\"data row24 col1\" >3.64</td>\n",
+ " <td id=\"T_419a8_row24_col2\" class=\"data row24 col2\" >32.83</td>\n",
+ " <td id=\"T_419a8_row24_col3\" class=\"data row24 col3\" >4.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_419a8_row25_col0\" class=\"data row25 col0\" >7.06</td>\n",
+ " <td id=\"T_419a8_row25_col1\" class=\"data row25 col1\" >2.31</td>\n",
+ " <td id=\"T_419a8_row25_col2\" class=\"data row25 col2\" >12.22</td>\n",
+ " <td id=\"T_419a8_row25_col3\" class=\"data row25 col3\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_419a8_row26_col0\" class=\"data row26 col0\" >35.25</td>\n",
+ " <td id=\"T_419a8_row26_col1\" class=\"data row26 col1\" >3.64</td>\n",
+ " <td id=\"T_419a8_row26_col2\" class=\"data row26 col2\" >27.18</td>\n",
+ " <td id=\"T_419a8_row26_col3\" class=\"data row26 col3\" >3.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_419a8_row27_col0\" class=\"data row27 col0\" >15.03</td>\n",
+ " <td id=\"T_419a8_row27_col1\" class=\"data row27 col1\" >2.97</td>\n",
+ " <td id=\"T_419a8_row27_col2\" class=\"data row27 col2\" >21.97</td>\n",
+ " <td id=\"T_419a8_row27_col3\" class=\"data row27 col3\" >3.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_419a8_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_419a8_row28_col0\" class=\"data row28 col0\" >37.87</td>\n",
+ " <td id=\"T_419a8_row28_col1\" class=\"data row28 col1\" >3.33</td>\n",
+ " <td id=\"T_419a8_row28_col2\" class=\"data row28 col2\" >32.59</td>\n",
+ " <td id=\"T_419a8_row28_col3\" class=\"data row28 col3\" >3.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_419a8_row29_col0\" class=\"data row29 col0\" >7.16</td>\n",
+ " <td id=\"T_419a8_row29_col1\" class=\"data row29 col1\" >2.49</td>\n",
+ " <td id=\"T_419a8_row29_col2\" class=\"data row29 col2\" >12.74</td>\n",
+ " <td id=\"T_419a8_row29_col3\" class=\"data row29 col3\" >2.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_419a8_row30_col0\" class=\"data row30 col0\" >9.20</td>\n",
+ " <td id=\"T_419a8_row30_col1\" class=\"data row30 col1\" >2.43</td>\n",
+ " <td id=\"T_419a8_row30_col2\" class=\"data row30 col2\" >15.02</td>\n",
+ " <td id=\"T_419a8_row30_col3\" class=\"data row30 col3\" >2.76</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_419a8_row31_col0\" class=\"data row31 col0\" >40.74</td>\n",
+ " <td id=\"T_419a8_row31_col1\" class=\"data row31 col1\" >4.12</td>\n",
+ " <td id=\"T_419a8_row31_col2\" class=\"data row31 col2\" >33.89</td>\n",
+ " <td id=\"T_419a8_row31_col3\" class=\"data row31 col3\" >4.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_419a8_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_419a8_row32_col0\" class=\"data row32 col0\" >15.14</td>\n",
+ " <td id=\"T_419a8_row32_col1\" class=\"data row32 col1\" >3.20</td>\n",
+ " <td id=\"T_419a8_row32_col2\" class=\"data row32 col2\" >20.92</td>\n",
+ " <td id=\"T_419a8_row32_col3\" class=\"data row32 col3\" >3.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_419a8_row33_col0\" class=\"data row33 col0\" >26.43</td>\n",
+ " <td id=\"T_419a8_row33_col1\" class=\"data row33 col1\" >2.73</td>\n",
+ " <td id=\"T_419a8_row33_col2\" class=\"data row33 col2\" >22.79</td>\n",
+ " <td id=\"T_419a8_row33_col3\" class=\"data row33 col3\" >2.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_419a8_row34_col0\" class=\"data row34 col0\" >37.75</td>\n",
+ " <td id=\"T_419a8_row34_col1\" class=\"data row34 col1\" >3.60</td>\n",
+ " <td id=\"T_419a8_row34_col2\" class=\"data row34 col2\" >27.67</td>\n",
+ " <td id=\"T_419a8_row34_col3\" class=\"data row34 col3\" >4.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_419a8_row35_col0\" class=\"data row35 col0\" >15.81</td>\n",
+ " <td id=\"T_419a8_row35_col1\" class=\"data row35 col1\" >3.02</td>\n",
+ " <td id=\"T_419a8_row35_col2\" class=\"data row35 col2\" >22.65</td>\n",
+ " <td id=\"T_419a8_row35_col3\" class=\"data row35 col3\" >3.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_419a8_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_419a8_row36_col0\" class=\"data row36 col0\" >14.22</td>\n",
+ " <td id=\"T_419a8_row36_col1\" class=\"data row36 col1\" >2.79</td>\n",
+ " <td id=\"T_419a8_row36_col2\" class=\"data row36 col2\" >19.81</td>\n",
+ " <td id=\"T_419a8_row36_col3\" class=\"data row36 col3\" >3.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_419a8_row37_col0\" class=\"data row37 col0\" >26.79</td>\n",
+ " <td id=\"T_419a8_row37_col1\" class=\"data row37 col1\" >3.05</td>\n",
+ " <td id=\"T_419a8_row37_col2\" class=\"data row37 col2\" >22.97</td>\n",
+ " <td id=\"T_419a8_row37_col3\" class=\"data row37 col3\" >2.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_419a8_row38_col0\" class=\"data row38 col0\" >10.82</td>\n",
+ " <td id=\"T_419a8_row38_col1\" class=\"data row38 col1\" >2.42</td>\n",
+ " <td id=\"T_419a8_row38_col2\" class=\"data row38 col2\" >16.64</td>\n",
+ " <td id=\"T_419a8_row38_col3\" class=\"data row38 col3\" >3.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_419a8_row39_col0\" class=\"data row39 col0\" >43.48</td>\n",
+ " <td id=\"T_419a8_row39_col1\" class=\"data row39 col1\" >4.03</td>\n",
+ " <td id=\"T_419a8_row39_col2\" class=\"data row39 col2\" >34.73</td>\n",
+ " <td id=\"T_419a8_row39_col3\" class=\"data row39 col3\" >4.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_419a8_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_419a8_row40_col0\" class=\"data row40 col0\" >14.15</td>\n",
+ " <td id=\"T_419a8_row40_col1\" class=\"data row40 col1\" >2.94</td>\n",
+ " <td id=\"T_419a8_row40_col2\" class=\"data row40 col2\" >20.35</td>\n",
+ " <td id=\"T_419a8_row40_col3\" class=\"data row40 col3\" >3.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_419a8_row41_col0\" class=\"data row41 col0\" >8.66</td>\n",
+ " <td id=\"T_419a8_row41_col1\" class=\"data row41 col1\" >2.67</td>\n",
+ " <td id=\"T_419a8_row41_col2\" class=\"data row41 col2\" >13.66</td>\n",
+ " <td id=\"T_419a8_row41_col3\" class=\"data row41 col3\" >2.93</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_419a8_row42_col0\" class=\"data row42 col0\" >34.72</td>\n",
+ " <td id=\"T_419a8_row42_col1\" class=\"data row42 col1\" >3.63</td>\n",
+ " <td id=\"T_419a8_row42_col2\" class=\"data row42 col2\" >27.58</td>\n",
+ " <td id=\"T_419a8_row42_col3\" class=\"data row42 col3\" >4.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_419a8_row43_col0\" class=\"data row43 col0\" >37.86</td>\n",
+ " <td id=\"T_419a8_row43_col1\" class=\"data row43 col1\" >3.90</td>\n",
+ " <td id=\"T_419a8_row43_col2\" class=\"data row43 col2\" >32.65</td>\n",
+ " <td id=\"T_419a8_row43_col3\" class=\"data row43 col3\" >4.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_419a8_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_419a8_row44_col0\" class=\"data row44 col0\" >32.53</td>\n",
+ " <td id=\"T_419a8_row44_col1\" class=\"data row44 col1\" >3.26</td>\n",
+ " <td id=\"T_419a8_row44_col2\" class=\"data row44 col2\" >30.35</td>\n",
+ " <td id=\"T_419a8_row44_col3\" class=\"data row44 col3\" >4.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_419a8_row45_col0\" class=\"data row45 col0\" >20.35</td>\n",
+ " <td id=\"T_419a8_row45_col1\" class=\"data row45 col1\" >2.99</td>\n",
+ " <td id=\"T_419a8_row45_col2\" class=\"data row45 col2\" >21.12</td>\n",
+ " <td id=\"T_419a8_row45_col3\" class=\"data row45 col3\" >2.73</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_419a8_row46_col0\" class=\"data row46 col0\" >30.31</td>\n",
+ " <td id=\"T_419a8_row46_col1\" class=\"data row46 col1\" >3.22</td>\n",
+ " <td id=\"T_419a8_row46_col2\" class=\"data row46 col2\" >25.09</td>\n",
+ " <td id=\"T_419a8_row46_col3\" class=\"data row46 col3\" >3.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_419a8_row47_col0\" class=\"data row47 col0\" >11.55</td>\n",
+ " <td id=\"T_419a8_row47_col1\" class=\"data row47 col1\" >2.76</td>\n",
+ " <td id=\"T_419a8_row47_col2\" class=\"data row47 col2\" >17.48</td>\n",
+ " <td id=\"T_419a8_row47_col3\" class=\"data row47 col3\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_419a8_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_419a8_row48_col0\" class=\"data row48 col0\" >32.89</td>\n",
+ " <td id=\"T_419a8_row48_col1\" class=\"data row48 col1\" >3.70</td>\n",
+ " <td id=\"T_419a8_row48_col2\" class=\"data row48 col2\" >29.82</td>\n",
+ " <td id=\"T_419a8_row48_col3\" class=\"data row48 col3\" >3.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_419a8_row49_col0\" class=\"data row49 col0\" >20.69</td>\n",
+ " <td id=\"T_419a8_row49_col1\" class=\"data row49 col1\" >3.31</td>\n",
+ " <td id=\"T_419a8_row49_col2\" class=\"data row49 col2\" >20.86</td>\n",
+ " <td id=\"T_419a8_row49_col3\" class=\"data row49 col3\" >2.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_419a8_row50_col0\" class=\"data row50 col0\" >6.05</td>\n",
+ " <td id=\"T_419a8_row50_col1\" class=\"data row50 col1\" >1.89</td>\n",
+ " <td id=\"T_419a8_row50_col2\" class=\"data row50 col2\" >10.95</td>\n",
+ " <td id=\"T_419a8_row50_col3\" class=\"data row50 col3\" >2.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_419a8_row51_col0\" class=\"data row51 col0\" >35.34</td>\n",
+ " <td id=\"T_419a8_row51_col1\" class=\"data row51 col1\" >3.70</td>\n",
+ " <td id=\"T_419a8_row51_col2\" class=\"data row51 col2\" >32.43</td>\n",
+ " <td id=\"T_419a8_row51_col3\" class=\"data row51 col3\" >3.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_419a8_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_419a8_row52_col0\" class=\"data row52 col0\" >29.47</td>\n",
+ " <td id=\"T_419a8_row52_col1\" class=\"data row52 col1\" >3.37</td>\n",
+ " <td id=\"T_419a8_row52_col2\" class=\"data row52 col2\" >29.60</td>\n",
+ " <td id=\"T_419a8_row52_col3\" class=\"data row52 col3\" >3.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_419a8_row53_col0\" class=\"data row53 col0\" >5.13</td>\n",
+ " <td id=\"T_419a8_row53_col1\" class=\"data row53 col1\" >2.30</td>\n",
+ " <td id=\"T_419a8_row53_col2\" class=\"data row53 col2\" >10.27</td>\n",
+ " <td id=\"T_419a8_row53_col3\" class=\"data row53 col3\" >2.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_419a8_row54_col0\" class=\"data row54 col0\" >28.97</td>\n",
+ " <td id=\"T_419a8_row54_col1\" class=\"data row54 col1\" >3.33</td>\n",
+ " <td id=\"T_419a8_row54_col2\" class=\"data row54 col2\" >24.73</td>\n",
+ " <td id=\"T_419a8_row54_col3\" class=\"data row54 col3\" >3.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_419a8_row55_col0\" class=\"data row55 col0\" >31.46</td>\n",
+ " <td id=\"T_419a8_row55_col1\" class=\"data row55 col1\" >3.60</td>\n",
+ " <td id=\"T_419a8_row55_col2\" class=\"data row55 col2\" >29.52</td>\n",
+ " <td id=\"T_419a8_row55_col3\" class=\"data row55 col3\" >4.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_419a8_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_419a8_row56_col0\" class=\"data row56 col0\" >11.27</td>\n",
+ " <td id=\"T_419a8_row56_col1\" class=\"data row56 col1\" >2.89</td>\n",
+ " <td id=\"T_419a8_row56_col2\" class=\"data row56 col2\" >17.18</td>\n",
+ " <td id=\"T_419a8_row56_col3\" class=\"data row56 col3\" >3.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_419a8_row57_col0\" class=\"data row57 col0\" >20.36</td>\n",
+ " <td id=\"T_419a8_row57_col1\" class=\"data row57 col1\" >3.01</td>\n",
+ " <td id=\"T_419a8_row57_col2\" class=\"data row57 col2\" >20.52</td>\n",
+ " <td id=\"T_419a8_row57_col3\" class=\"data row57 col3\" >2.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_419a8_row58_col0\" class=\"data row58 col0\" >30.31</td>\n",
+ " <td id=\"T_419a8_row58_col1\" class=\"data row58 col1\" >3.67</td>\n",
+ " <td id=\"T_419a8_row58_col2\" class=\"data row58 col2\" >25.48</td>\n",
+ " <td id=\"T_419a8_row58_col3\" class=\"data row58 col3\" >3.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_419a8_row59_col0\" class=\"data row59 col0\" >33.41</td>\n",
+ " <td id=\"T_419a8_row59_col1\" class=\"data row59 col1\" >3.85</td>\n",
+ " <td id=\"T_419a8_row59_col2\" class=\"data row59 col2\" >30.96</td>\n",
+ " <td id=\"T_419a8_row59_col3\" class=\"data row59 col3\" >4.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_419a8_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_419a8_row60_col0\" class=\"data row60 col0\" >25.51</td>\n",
+ " <td id=\"T_419a8_row60_col1\" class=\"data row60 col1\" >3.28</td>\n",
+ " <td id=\"T_419a8_row60_col2\" class=\"data row60 col2\" >26.60</td>\n",
+ " <td id=\"T_419a8_row60_col3\" class=\"data row60 col3\" >3.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_419a8_row61_col0\" class=\"data row61 col0\" >15.92</td>\n",
+ " <td id=\"T_419a8_row61_col1\" class=\"data row61 col1\" >2.62</td>\n",
+ " <td id=\"T_419a8_row61_col2\" class=\"data row61 col2\" >17.40</td>\n",
+ " <td id=\"T_419a8_row61_col3\" class=\"data row61 col3\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_419a8_row62_col0\" class=\"data row62 col0\" >25.14</td>\n",
+ " <td id=\"T_419a8_row62_col1\" class=\"data row62 col1\" >2.74</td>\n",
+ " <td id=\"T_419a8_row62_col2\" class=\"data row62 col2\" >21.94</td>\n",
+ " <td id=\"T_419a8_row62_col3\" class=\"data row62 col3\" >2.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_419a8_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_419a8_row63_col0\" class=\"data row63 col0\" >28.28</td>\n",
+ " <td id=\"T_419a8_row63_col1\" class=\"data row63 col1\" >3.26</td>\n",
+ " <td id=\"T_419a8_row63_col2\" class=\"data row63 col2\" >28.11</td>\n",
+ " <td id=\"T_419a8_row63_col3\" class=\"data row63 col3\" >3.12</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfe45e90>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_b5e08 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_b5e08 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_b5e08_row0_col0, #T_b5e08_row15_col0 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row0_col2, #T_b5e08_row11_col2, #T_b5e08_row15_col2 {\n",
+ " background-color: #c1f6c1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row1_col0 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row1_col2, #T_b5e08_row2_col0, #T_b5e08_row10_col0 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row2_col2 {\n",
+ " background-color: #a3f8a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row3_col0 {\n",
+ " background-color: #67fc67;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row3_col2, #T_b5e08_row11_col0 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row4_col0 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row4_col2 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row5_col0 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row5_col2 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row6_col0 {\n",
+ " background-color: #e6f3e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row6_col2 {\n",
+ " background-color: #a0f8a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row7_col0, #T_b5e08_row12_col0 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row7_col2, #T_b5e08_row13_col0 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row8_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row8_col2 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row9_col0 {\n",
+ " background-color: #4afe4a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row9_col2 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row10_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row12_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row13_col2 {\n",
+ " background-color: #b1f7b1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row14_col0 {\n",
+ " background-color: #3efe3e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_b5e08_row14_col2 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_b5e08\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_b5e08_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_b5e08_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_b5e08_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_b5e08_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_b5e08_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_b5e08_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_b5e08_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_b5e08_row0_col0\" class=\"data row0 col0\" >94.86</td>\n",
+ " <td id=\"T_b5e08_row0_col1\" class=\"data row0 col1\" >2.35</td>\n",
+ " <td id=\"T_b5e08_row0_col2\" class=\"data row0 col2\" >94.04</td>\n",
+ " <td id=\"T_b5e08_row0_col3\" class=\"data row0 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_b5e08_row1_col0\" class=\"data row1 col0\" >95.18</td>\n",
+ " <td id=\"T_b5e08_row1_col1\" class=\"data row1 col1\" >2.28</td>\n",
+ " <td id=\"T_b5e08_row1_col2\" class=\"data row1 col2\" >94.75</td>\n",
+ " <td id=\"T_b5e08_row1_col3\" class=\"data row1 col3\" >2.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_b5e08_row2_col0\" class=\"data row2 col0\" >95.39</td>\n",
+ " <td id=\"T_b5e08_row2_col1\" class=\"data row2 col1\" >2.06</td>\n",
+ " <td id=\"T_b5e08_row2_col2\" class=\"data row2 col2\" >94.19</td>\n",
+ " <td id=\"T_b5e08_row2_col3\" class=\"data row2 col3\" >2.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_b5e08_row3_col0\" class=\"data row3 col0\" >95.21</td>\n",
+ " <td id=\"T_b5e08_row3_col1\" class=\"data row3 col1\" >2.27</td>\n",
+ " <td id=\"T_b5e08_row3_col2\" class=\"data row3 col2\" >93.84</td>\n",
+ " <td id=\"T_b5e08_row3_col3\" class=\"data row3 col3\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_b5e08_row4_col0\" class=\"data row4 col0\" >95.28</td>\n",
+ " <td id=\"T_b5e08_row4_col1\" class=\"data row4 col1\" >2.35</td>\n",
+ " <td id=\"T_b5e08_row4_col2\" class=\"data row4 col2\" >94.09</td>\n",
+ " <td id=\"T_b5e08_row4_col3\" class=\"data row4 col3\" >2.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_b5e08_row5_col0\" class=\"data row5 col0\" >95.08</td>\n",
+ " <td id=\"T_b5e08_row5_col1\" class=\"data row5 col1\" >2.23</td>\n",
+ " <td id=\"T_b5e08_row5_col2\" class=\"data row5 col2\" >94.72</td>\n",
+ " <td id=\"T_b5e08_row5_col3\" class=\"data row5 col3\" >2.77</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_b5e08_row6_col0\" class=\"data row6 col0\" >94.75</td>\n",
+ " <td id=\"T_b5e08_row6_col1\" class=\"data row6 col1\" >2.17</td>\n",
+ " <td id=\"T_b5e08_row6_col2\" class=\"data row6 col2\" >94.21</td>\n",
+ " <td id=\"T_b5e08_row6_col3\" class=\"data row6 col3\" >2.72</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_b5e08_row7_col0\" class=\"data row7 col0\" >94.96</td>\n",
+ " <td id=\"T_b5e08_row7_col1\" class=\"data row7 col1\" >2.29</td>\n",
+ " <td id=\"T_b5e08_row7_col2\" class=\"data row7 col2\" >94.24</td>\n",
+ " <td id=\"T_b5e08_row7_col3\" class=\"data row7 col3\" >2.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_b5e08_row8_col0\" class=\"data row8 col0\" >95.13</td>\n",
+ " <td id=\"T_b5e08_row8_col1\" class=\"data row8 col1\" >2.29</td>\n",
+ " <td id=\"T_b5e08_row8_col2\" class=\"data row8 col2\" >94.04</td>\n",
+ " <td id=\"T_b5e08_row8_col3\" class=\"data row8 col3\" >2.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_b5e08_row9_col0\" class=\"data row9 col0\" >95.31</td>\n",
+ " <td id=\"T_b5e08_row9_col1\" class=\"data row9 col1\" >2.19</td>\n",
+ " <td id=\"T_b5e08_row9_col2\" class=\"data row9 col2\" >94.14</td>\n",
+ " <td id=\"T_b5e08_row9_col3\" class=\"data row9 col3\" >2.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_b5e08_row10_col0\" class=\"data row10 col0\" >95.39</td>\n",
+ " <td id=\"T_b5e08_row10_col1\" class=\"data row10 col1\" >2.21</td>\n",
+ " <td id=\"T_b5e08_row10_col2\" class=\"data row10 col2\" >94.25</td>\n",
+ " <td id=\"T_b5e08_row10_col3\" class=\"data row10 col3\" >2.62</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_b5e08_row11_col0\" class=\"data row11 col0\" >94.74</td>\n",
+ " <td id=\"T_b5e08_row11_col1\" class=\"data row11 col1\" >2.16</td>\n",
+ " <td id=\"T_b5e08_row11_col2\" class=\"data row11 col2\" >94.04</td>\n",
+ " <td id=\"T_b5e08_row11_col3\" class=\"data row11 col3\" >2.81</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_b5e08_row12_col0\" class=\"data row12 col0\" >94.96</td>\n",
+ " <td id=\"T_b5e08_row12_col1\" class=\"data row12 col1\" >2.36</td>\n",
+ " <td id=\"T_b5e08_row12_col2\" class=\"data row12 col2\" >94.06</td>\n",
+ " <td id=\"T_b5e08_row12_col3\" class=\"data row12 col3\" >2.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_b5e08_row13_col0\" class=\"data row13 col0\" >95.03</td>\n",
+ " <td id=\"T_b5e08_row13_col1\" class=\"data row13 col1\" >2.25</td>\n",
+ " <td id=\"T_b5e08_row13_col2\" class=\"data row13 col2\" >94.13</td>\n",
+ " <td id=\"T_b5e08_row13_col3\" class=\"data row13 col3\" >2.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_b5e08_row14_col0\" class=\"data row14 col0\" >95.35</td>\n",
+ " <td id=\"T_b5e08_row14_col1\" class=\"data row14 col1\" >2.27</td>\n",
+ " <td id=\"T_b5e08_row14_col2\" class=\"data row14 col2\" >94.13</td>\n",
+ " <td id=\"T_b5e08_row14_col3\" class=\"data row14 col3\" >2.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_b5e08_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_b5e08_row15_col0\" class=\"data row15 col0\" >94.86</td>\n",
+ " <td id=\"T_b5e08_row15_col1\" class=\"data row15 col1\" >2.35</td>\n",
+ " <td id=\"T_b5e08_row15_col2\" class=\"data row15 col2\" >94.04</td>\n",
+ " <td id=\"T_b5e08_row15_col3\" class=\"data row15 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7151384e6550>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_bidded(\"medium\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_e6b1e td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_e6b1e th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_e6b1e_row0_col0, #T_e6b1e_row3_col2, #T_e6b1e_row60_col0, #T_e6b1e_row63_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row0_col2, #T_e6b1e_row49_col2, #T_e6b1e_row60_col2 {\n",
+ " background-color: #41fe41;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row0_col4, #T_e6b1e_row60_col4 {\n",
+ " background-color: #f5bebe;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row1_col0, #T_e6b1e_row23_col2, #T_e6b1e_row51_col0, #T_e6b1e_row61_col0 {\n",
+ " background-color: #4cfd4c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row1_col2, #T_e6b1e_row2_col0, #T_e6b1e_row61_col2, #T_e6b1e_row62_col0 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row1_col4, #T_e6b1e_row12_col4, #T_e6b1e_row61_col4 {\n",
+ " background-color: #f5c5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row2_col2, #T_e6b1e_row62_col2 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row2_col4, #T_e6b1e_row8_col4, #T_e6b1e_row22_col4, #T_e6b1e_row62_col4 {\n",
+ " background-color: #f6b4b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row3_col0, #T_e6b1e_row63_col0 {\n",
+ " background-color: #3cfe3c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row3_col4, #T_e6b1e_row15_col4, #T_e6b1e_row63_col4 {\n",
+ " background-color: #f5c4c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row4_col0, #T_e6b1e_row20_col2 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row4_col2 {\n",
+ " background-color: #e1f4e1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row4_col4 {\n",
+ " background-color: #fc3737;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row5_col0, #T_e6b1e_row13_col0, #T_e6b1e_row29_col0 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row5_col2, #T_e6b1e_row29_col2, #T_e6b1e_row36_col2, #T_e6b1e_row44_col2 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row5_col4 {\n",
+ " background-color: #f3ecec;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row6_col0 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row6_col2 {\n",
+ " background-color: #5cfc5c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row6_col4 {\n",
+ " background-color: #f6b8b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row7_col0 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row7_col2, #T_e6b1e_row27_col2 {\n",
+ " background-color: #51fd51;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row7_col4, #T_e6b1e_row35_col4 {\n",
+ " background-color: #f4d4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row8_col0, #T_e6b1e_row18_col2, #T_e6b1e_row43_col2, #T_e6b1e_row47_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row8_col2, #T_e6b1e_row37_col0, #T_e6b1e_row37_col2 {\n",
+ " background-color: #86fa86;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row9_col0 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row9_col2 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row9_col4, #T_e6b1e_row19_col4 {\n",
+ " background-color: #fd2828;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row10_col0 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row10_col2, #T_e6b1e_row22_col2 {\n",
+ " background-color: #60fc60;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row10_col4 {\n",
+ " background-color: #f6b1b1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row11_col0 {\n",
+ " background-color: #82fa82;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row11_col2, #T_e6b1e_row50_col2 {\n",
+ " background-color: #62fc62;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row11_col4 {\n",
+ " background-color: #f4d1d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row12_col0 {\n",
+ " background-color: #80fa80;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row12_col2 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row13_col2, #T_e6b1e_row40_col2, #T_e6b1e_row46_col0 {\n",
+ " background-color: #6afb6a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row13_col4, #T_e6b1e_row16_col4 {\n",
+ " background-color: #f5cbcb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row14_col0, #T_e6b1e_row14_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row14_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row15_col0, #T_e6b1e_row39_col0 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row15_col2, #T_e6b1e_row16_col2, #T_e6b1e_row28_col2, #T_e6b1e_row44_col0, #T_e6b1e_row52_col2 {\n",
+ " background-color: #5ffc5f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row16_col0, #T_e6b1e_row28_col0 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row17_col0 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row17_col2, #T_e6b1e_row31_col2, #T_e6b1e_row38_col2, #T_e6b1e_row39_col2 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row17_col4, #T_e6b1e_row32_col4 {\n",
+ " background-color: #f5c3c3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row18_col0, #T_e6b1e_row19_col0, #T_e6b1e_row34_col0, #T_e6b1e_row38_col0 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row18_col4 {\n",
+ " background-color: #f6b2b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row19_col2 {\n",
+ " background-color: #d7f4d7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row20_col0 {\n",
+ " background-color: #89f989;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row20_col4, #T_e6b1e_row26_col4 {\n",
+ " background-color: #fa5a5a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row21_col0, #T_e6b1e_row35_col0, #T_e6b1e_row43_col0, #T_e6b1e_row53_col0 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row21_col2, #T_e6b1e_row52_col0 {\n",
+ " background-color: #49fe49;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row21_col4, #T_e6b1e_row58_col4 {\n",
+ " background-color: #f88f8f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row22_col0 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row23_col0, #T_e6b1e_row24_col2, #T_e6b1e_row36_col0, #T_e6b1e_row41_col2, #T_e6b1e_row57_col2 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row23_col4, #T_e6b1e_row47_col4 {\n",
+ " background-color: #f4dede;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row24_col0 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row24_col4 {\n",
+ " background-color: #f97d7d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row25_col0 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row25_col2 {\n",
+ " background-color: #4ffd4f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row25_col4 {\n",
+ " background-color: #f3ebeb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row26_col0 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row26_col2, #T_e6b1e_row33_col0 {\n",
+ " background-color: #99f899;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row27_col0 {\n",
+ " background-color: #7bfa7b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row27_col4 {\n",
+ " background-color: #f4d3d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row28_col4 {\n",
+ " background-color: #f88282;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row29_col4 {\n",
+ " background-color: #f3eded;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row30_col0 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row30_col2, #T_e6b1e_row46_col2 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row30_col4 {\n",
+ " background-color: #f5bdbd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row31_col0, #T_e6b1e_row42_col2 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row31_col4 {\n",
+ " background-color: #fa6a6a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row32_col0, #T_e6b1e_row58_col0 {\n",
+ " background-color: #7ffa7f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row32_col2 {\n",
+ " background-color: #5bfc5b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row33_col2 {\n",
+ " background-color: #84fa84;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row33_col4, #T_e6b1e_row39_col4 {\n",
+ " background-color: #f96e6e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row34_col2 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row34_col4 {\n",
+ " background-color: #fc4040;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row35_col2, #T_e6b1e_row48_col2, #T_e6b1e_row55_col0 {\n",
+ " background-color: #59fd59;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row36_col4 {\n",
+ " background-color: #f5c8c8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row37_col4 {\n",
+ " background-color: #f96d6d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row38_col4 {\n",
+ " background-color: #f6b9b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row40_col0 {\n",
+ " background-color: #70fb70;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row40_col4 {\n",
+ " background-color: #f5cece;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row41_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row41_col4 {\n",
+ " background-color: #f5cccc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row42_col0 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row42_col4 {\n",
+ " background-color: #fa6969;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row43_col4 {\n",
+ " background-color: #f97878;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row44_col4 {\n",
+ " background-color: #f79696;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row45_col0, #T_e6b1e_row57_col0 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row45_col2 {\n",
+ " background-color: #43fe43;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row45_col4 {\n",
+ " background-color: #f6b0b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row46_col4 {\n",
+ " background-color: #f98080;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_e6b1e_row47_col2 {\n",
+ " background-color: #4dfd4d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row48_col0 {\n",
+ " background-color: #4efd4e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row48_col4 {\n",
+ " background-color: #f79797;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row49_col0 {\n",
+ " background-color: #64fc64;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row49_col4 {\n",
+ " background-color: #f6afaf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row50_col0 {\n",
+ " background-color: #a3f8a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row50_col4 {\n",
+ " background-color: #f5c0c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row51_col2 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row51_col4 {\n",
+ " background-color: #f79f9f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row52_col4 {\n",
+ " background-color: #f6a8a8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row53_col2, #T_e6b1e_row56_col2, #T_e6b1e_row58_col2, #T_e6b1e_row59_col2 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row53_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row54_col0 {\n",
+ " background-color: #61fc61;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row54_col2 {\n",
+ " background-color: #47fe47;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row54_col4 {\n",
+ " background-color: #f79b9b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row55_col2 {\n",
+ " background-color: #46fe46;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row55_col4 {\n",
+ " background-color: #f7a2a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row56_col0 {\n",
+ " background-color: #66fc66;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row56_col4 {\n",
+ " background-color: #f5cdcd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row57_col4 {\n",
+ " background-color: #f79897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row59_col0 {\n",
+ " background-color: #67fc67;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_e6b1e_row59_col4 {\n",
+ " background-color: #f7a6a6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_e6b1e\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_e6b1e_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_e6b1e_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_e6b1e_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_e6b1e_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_e6b1e_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_e6b1e_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_e6b1e_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_e6b1e_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_e6b1e_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_e6b1e_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_e6b1e_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_e6b1e_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_e6b1e_row0_col0\" class=\"data row0 col0\" >96.41</td>\n",
+ " <td id=\"T_e6b1e_row0_col1\" class=\"data row0 col1\" >2.45</td>\n",
+ " <td id=\"T_e6b1e_row0_col2\" class=\"data row0 col2\" >99.18</td>\n",
+ " <td id=\"T_e6b1e_row0_col3\" class=\"data row0 col3\" >1.82</td>\n",
+ " <td id=\"T_e6b1e_row0_col4\" class=\"data row0 col4\" >1.27</td>\n",
+ " <td id=\"T_e6b1e_row0_col5\" class=\"data row0 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_e6b1e_row1_col0\" class=\"data row1 col0\" >95.26</td>\n",
+ " <td id=\"T_e6b1e_row1_col1\" class=\"data row1 col1\" >4.03</td>\n",
+ " <td id=\"T_e6b1e_row1_col2\" class=\"data row1 col2\" >99.15</td>\n",
+ " <td id=\"T_e6b1e_row1_col3\" class=\"data row1 col3\" >4.00</td>\n",
+ " <td id=\"T_e6b1e_row1_col4\" class=\"data row1 col4\" >1.25</td>\n",
+ " <td id=\"T_e6b1e_row1_col5\" class=\"data row1 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_e6b1e_row2_col0\" class=\"data row2 col0\" >95.77</td>\n",
+ " <td id=\"T_e6b1e_row2_col1\" class=\"data row2 col1\" >2.84</td>\n",
+ " <td id=\"T_e6b1e_row2_col2\" class=\"data row2 col2\" >99.44</td>\n",
+ " <td id=\"T_e6b1e_row2_col3\" class=\"data row2 col3\" >1.45</td>\n",
+ " <td id=\"T_e6b1e_row2_col4\" class=\"data row2 col4\" >1.31</td>\n",
+ " <td id=\"T_e6b1e_row2_col5\" class=\"data row2 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_e6b1e_row3_col0\" class=\"data row3 col0\" >96.04</td>\n",
+ " <td id=\"T_e6b1e_row3_col1\" class=\"data row3 col1\" >2.15</td>\n",
+ " <td id=\"T_e6b1e_row3_col2\" class=\"data row3 col2\" >99.66</td>\n",
+ " <td id=\"T_e6b1e_row3_col3\" class=\"data row3 col3\" >1.18</td>\n",
+ " <td id=\"T_e6b1e_row3_col4\" class=\"data row3 col4\" >1.25</td>\n",
+ " <td id=\"T_e6b1e_row3_col5\" class=\"data row3 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_e6b1e_row4_col0\" class=\"data row4 col0\" >90.80</td>\n",
+ " <td id=\"T_e6b1e_row4_col1\" class=\"data row4 col1\" >3.35</td>\n",
+ " <td id=\"T_e6b1e_row4_col2\" class=\"data row4 col2\" >93.31</td>\n",
+ " <td id=\"T_e6b1e_row4_col3\" class=\"data row4 col3\" >4.29</td>\n",
+ " <td id=\"T_e6b1e_row4_col4\" class=\"data row4 col4\" >1.74</td>\n",
+ " <td id=\"T_e6b1e_row4_col5\" class=\"data row4 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_e6b1e_row5_col0\" class=\"data row5 col0\" >92.33</td>\n",
+ " <td id=\"T_e6b1e_row5_col1\" class=\"data row5 col1\" >5.27</td>\n",
+ " <td id=\"T_e6b1e_row5_col2\" class=\"data row5 col2\" >98.43</td>\n",
+ " <td id=\"T_e6b1e_row5_col3\" class=\"data row5 col3\" >5.59</td>\n",
+ " <td id=\"T_e6b1e_row5_col4\" class=\"data row5 col4\" >1.11</td>\n",
+ " <td id=\"T_e6b1e_row5_col5\" class=\"data row5 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_e6b1e_row6_col0\" class=\"data row6 col0\" >91.92</td>\n",
+ " <td id=\"T_e6b1e_row6_col1\" class=\"data row6 col1\" >3.34</td>\n",
+ " <td id=\"T_e6b1e_row6_col2\" class=\"data row6 col2\" >98.20</td>\n",
+ " <td id=\"T_e6b1e_row6_col3\" class=\"data row6 col3\" >3.05</td>\n",
+ " <td id=\"T_e6b1e_row6_col4\" class=\"data row6 col4\" >1.30</td>\n",
+ " <td id=\"T_e6b1e_row6_col5\" class=\"data row6 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_e6b1e_row7_col0\" class=\"data row7 col0\" >93.06</td>\n",
+ " <td id=\"T_e6b1e_row7_col1\" class=\"data row7 col1\" >2.96</td>\n",
+ " <td id=\"T_e6b1e_row7_col2\" class=\"data row7 col2\" >98.61</td>\n",
+ " <td id=\"T_e6b1e_row7_col3\" class=\"data row7 col3\" >2.82</td>\n",
+ " <td id=\"T_e6b1e_row7_col4\" class=\"data row7 col4\" >1.20</td>\n",
+ " <td id=\"T_e6b1e_row7_col5\" class=\"data row7 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_e6b1e_row8_col0\" class=\"data row8 col0\" >93.21</td>\n",
+ " <td id=\"T_e6b1e_row8_col1\" class=\"data row8 col1\" >3.16</td>\n",
+ " <td id=\"T_e6b1e_row8_col2\" class=\"data row8 col2\" >96.66</td>\n",
+ " <td id=\"T_e6b1e_row8_col3\" class=\"data row8 col3\" >4.83</td>\n",
+ " <td id=\"T_e6b1e_row8_col4\" class=\"data row8 col4\" >1.31</td>\n",
+ " <td id=\"T_e6b1e_row8_col5\" class=\"data row8 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_e6b1e_row9_col0\" class=\"data row9 col0\" >89.54</td>\n",
+ " <td id=\"T_e6b1e_row9_col1\" class=\"data row9 col1\" >4.76</td>\n",
+ " <td id=\"T_e6b1e_row9_col2\" class=\"data row9 col2\" >94.99</td>\n",
+ " <td id=\"T_e6b1e_row9_col3\" class=\"data row9 col3\" >4.57</td>\n",
+ " <td id=\"T_e6b1e_row9_col4\" class=\"data row9 col4\" >1.79</td>\n",
+ " <td id=\"T_e6b1e_row9_col5\" class=\"data row9 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_e6b1e_row10_col0\" class=\"data row10 col0\" >91.32</td>\n",
+ " <td id=\"T_e6b1e_row10_col1\" class=\"data row10 col1\" >3.32</td>\n",
+ " <td id=\"T_e6b1e_row10_col2\" class=\"data row10 col2\" >98.03</td>\n",
+ " <td id=\"T_e6b1e_row10_col3\" class=\"data row10 col3\" >2.73</td>\n",
+ " <td id=\"T_e6b1e_row10_col4\" class=\"data row10 col4\" >1.32</td>\n",
+ " <td id=\"T_e6b1e_row10_col5\" class=\"data row10 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_e6b1e_row11_col0\" class=\"data row11 col0\" >92.79</td>\n",
+ " <td id=\"T_e6b1e_row11_col1\" class=\"data row11 col1\" >2.83</td>\n",
+ " <td id=\"T_e6b1e_row11_col2\" class=\"data row11 col2\" >97.98</td>\n",
+ " <td id=\"T_e6b1e_row11_col3\" class=\"data row11 col3\" >4.24</td>\n",
+ " <td id=\"T_e6b1e_row11_col4\" class=\"data row11 col4\" >1.21</td>\n",
+ " <td id=\"T_e6b1e_row11_col5\" class=\"data row11 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_e6b1e_row12_col0\" class=\"data row12 col0\" >92.88</td>\n",
+ " <td id=\"T_e6b1e_row12_col1\" class=\"data row12 col1\" >3.04</td>\n",
+ " <td id=\"T_e6b1e_row12_col2\" class=\"data row12 col2\" >97.53</td>\n",
+ " <td id=\"T_e6b1e_row12_col3\" class=\"data row12 col3\" >4.37</td>\n",
+ " <td id=\"T_e6b1e_row12_col4\" class=\"data row12 col4\" >1.25</td>\n",
+ " <td id=\"T_e6b1e_row12_col5\" class=\"data row12 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_e6b1e_row13_col0\" class=\"data row13 col0\" >92.34</td>\n",
+ " <td id=\"T_e6b1e_row13_col1\" class=\"data row13 col1\" >4.98</td>\n",
+ " <td id=\"T_e6b1e_row13_col2\" class=\"data row13 col2\" >97.65</td>\n",
+ " <td id=\"T_e6b1e_row13_col3\" class=\"data row13 col3\" >6.70</td>\n",
+ " <td id=\"T_e6b1e_row13_col4\" class=\"data row13 col4\" >1.23</td>\n",
+ " <td id=\"T_e6b1e_row13_col5\" class=\"data row13 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_e6b1e_row14_col0\" class=\"data row14 col0\" >87.90</td>\n",
+ " <td id=\"T_e6b1e_row14_col1\" class=\"data row14 col1\" >3.92</td>\n",
+ " <td id=\"T_e6b1e_row14_col2\" class=\"data row14 col2\" >92.96</td>\n",
+ " <td id=\"T_e6b1e_row14_col3\" class=\"data row14 col3\" >4.66</td>\n",
+ " <td id=\"T_e6b1e_row14_col4\" class=\"data row14 col4\" >1.93</td>\n",
+ " <td id=\"T_e6b1e_row14_col5\" class=\"data row14 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_e6b1e_row15_col0\" class=\"data row15 col0\" >92.46</td>\n",
+ " <td id=\"T_e6b1e_row15_col1\" class=\"data row15 col1\" >2.66</td>\n",
+ " <td id=\"T_e6b1e_row15_col2\" class=\"data row15 col2\" >98.08</td>\n",
+ " <td id=\"T_e6b1e_row15_col3\" class=\"data row15 col3\" >3.24</td>\n",
+ " <td id=\"T_e6b1e_row15_col4\" class=\"data row15 col4\" >1.25</td>\n",
+ " <td id=\"T_e6b1e_row15_col5\" class=\"data row15 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_e6b1e_row16_col0\" class=\"data row16 col0\" >94.09</td>\n",
+ " <td id=\"T_e6b1e_row16_col1\" class=\"data row16 col1\" >2.63</td>\n",
+ " <td id=\"T_e6b1e_row16_col2\" class=\"data row16 col2\" >98.08</td>\n",
+ " <td id=\"T_e6b1e_row16_col3\" class=\"data row16 col3\" >4.16</td>\n",
+ " <td id=\"T_e6b1e_row16_col4\" class=\"data row16 col4\" >1.23</td>\n",
+ " <td id=\"T_e6b1e_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_e6b1e_row17_col0\" class=\"data row17 col0\" >92.76</td>\n",
+ " <td id=\"T_e6b1e_row17_col1\" class=\"data row17 col1\" >4.65</td>\n",
+ " <td id=\"T_e6b1e_row17_col2\" class=\"data row17 col2\" >97.32</td>\n",
+ " <td id=\"T_e6b1e_row17_col3\" class=\"data row17 col3\" >8.10</td>\n",
+ " <td id=\"T_e6b1e_row17_col4\" class=\"data row17 col4\" >1.26</td>\n",
+ " <td id=\"T_e6b1e_row17_col5\" class=\"data row17 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_e6b1e_row18_col0\" class=\"data row18 col0\" >90.71</td>\n",
+ " <td id=\"T_e6b1e_row18_col1\" class=\"data row18 col1\" >3.64</td>\n",
+ " <td id=\"T_e6b1e_row18_col2\" class=\"data row18 col2\" >97.10</td>\n",
+ " <td id=\"T_e6b1e_row18_col3\" class=\"data row18 col3\" >5.43</td>\n",
+ " <td id=\"T_e6b1e_row18_col4\" class=\"data row18 col4\" >1.32</td>\n",
+ " <td id=\"T_e6b1e_row18_col5\" class=\"data row18 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_e6b1e_row19_col0\" class=\"data row19 col0\" >90.76</td>\n",
+ " <td id=\"T_e6b1e_row19_col1\" class=\"data row19 col1\" >2.82</td>\n",
+ " <td id=\"T_e6b1e_row19_col2\" class=\"data row19 col2\" >93.69</td>\n",
+ " <td id=\"T_e6b1e_row19_col3\" class=\"data row19 col3\" >4.22</td>\n",
+ " <td id=\"T_e6b1e_row19_col4\" class=\"data row19 col4\" >1.79</td>\n",
+ " <td id=\"T_e6b1e_row19_col5\" class=\"data row19 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_e6b1e_row20_col0\" class=\"data row20 col0\" >92.43</td>\n",
+ " <td id=\"T_e6b1e_row20_col1\" class=\"data row20 col1\" >3.41</td>\n",
+ " <td id=\"T_e6b1e_row20_col2\" class=\"data row20 col2\" >95.24</td>\n",
+ " <td id=\"T_e6b1e_row20_col3\" class=\"data row20 col3\" >3.53</td>\n",
+ " <td id=\"T_e6b1e_row20_col4\" class=\"data row20 col4\" >1.62</td>\n",
+ " <td id=\"T_e6b1e_row20_col5\" class=\"data row20 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_e6b1e_row21_col0\" class=\"data row21 col0\" >92.19</td>\n",
+ " <td id=\"T_e6b1e_row21_col1\" class=\"data row21 col1\" >3.96</td>\n",
+ " <td id=\"T_e6b1e_row21_col2\" class=\"data row21 col2\" >98.87</td>\n",
+ " <td id=\"T_e6b1e_row21_col3\" class=\"data row21 col3\" >2.83</td>\n",
+ " <td id=\"T_e6b1e_row21_col4\" class=\"data row21 col4\" >1.43</td>\n",
+ " <td id=\"T_e6b1e_row21_col5\" class=\"data row21 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_e6b1e_row22_col0\" class=\"data row22 col0\" >91.79</td>\n",
+ " <td id=\"T_e6b1e_row22_col1\" class=\"data row22 col1\" >3.66</td>\n",
+ " <td id=\"T_e6b1e_row22_col2\" class=\"data row22 col2\" >98.03</td>\n",
+ " <td id=\"T_e6b1e_row22_col3\" class=\"data row22 col3\" >3.66</td>\n",
+ " <td id=\"T_e6b1e_row22_col4\" class=\"data row22 col4\" >1.31</td>\n",
+ " <td id=\"T_e6b1e_row22_col5\" class=\"data row22 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_e6b1e_row23_col0\" class=\"data row23 col0\" >93.75</td>\n",
+ " <td id=\"T_e6b1e_row23_col1\" class=\"data row23 col1\" >2.69</td>\n",
+ " <td id=\"T_e6b1e_row23_col2\" class=\"data row23 col2\" >98.79</td>\n",
+ " <td id=\"T_e6b1e_row23_col3\" class=\"data row23 col3\" >3.11</td>\n",
+ " <td id=\"T_e6b1e_row23_col4\" class=\"data row23 col4\" >1.16</td>\n",
+ " <td id=\"T_e6b1e_row23_col5\" class=\"data row23 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_e6b1e_row24_col0\" class=\"data row24 col0\" >93.13</td>\n",
+ " <td id=\"T_e6b1e_row24_col1\" class=\"data row24 col1\" >2.84</td>\n",
+ " <td id=\"T_e6b1e_row24_col2\" class=\"data row24 col2\" >97.56</td>\n",
+ " <td id=\"T_e6b1e_row24_col3\" class=\"data row24 col3\" >4.02</td>\n",
+ " <td id=\"T_e6b1e_row24_col4\" class=\"data row24 col4\" >1.50</td>\n",
+ " <td id=\"T_e6b1e_row24_col5\" class=\"data row24 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_e6b1e_row25_col0\" class=\"data row25 col0\" >91.22</td>\n",
+ " <td id=\"T_e6b1e_row25_col1\" class=\"data row25 col1\" >6.21</td>\n",
+ " <td id=\"T_e6b1e_row25_col2\" class=\"data row25 col2\" >98.67</td>\n",
+ " <td id=\"T_e6b1e_row25_col3\" class=\"data row25 col3\" >6.27</td>\n",
+ " <td id=\"T_e6b1e_row25_col4\" class=\"data row25 col4\" >1.12</td>\n",
+ " <td id=\"T_e6b1e_row25_col5\" class=\"data row25 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_e6b1e_row26_col0\" class=\"data row26 col0\" >91.80</td>\n",
+ " <td id=\"T_e6b1e_row26_col1\" class=\"data row26 col1\" >3.15</td>\n",
+ " <td id=\"T_e6b1e_row26_col2\" class=\"data row26 col2\" >95.96</td>\n",
+ " <td id=\"T_e6b1e_row26_col3\" class=\"data row26 col3\" >3.80</td>\n",
+ " <td id=\"T_e6b1e_row26_col4\" class=\"data row26 col4\" >1.62</td>\n",
+ " <td id=\"T_e6b1e_row26_col5\" class=\"data row26 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_e6b1e_row27_col0\" class=\"data row27 col0\" >93.11</td>\n",
+ " <td id=\"T_e6b1e_row27_col1\" class=\"data row27 col1\" >2.98</td>\n",
+ " <td id=\"T_e6b1e_row27_col2\" class=\"data row27 col2\" >98.58</td>\n",
+ " <td id=\"T_e6b1e_row27_col3\" class=\"data row27 col3\" >3.27</td>\n",
+ " <td id=\"T_e6b1e_row27_col4\" class=\"data row27 col4\" >1.20</td>\n",
+ " <td id=\"T_e6b1e_row27_col5\" class=\"data row27 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_e6b1e_row28_col0\" class=\"data row28 col0\" >94.09</td>\n",
+ " <td id=\"T_e6b1e_row28_col1\" class=\"data row28 col1\" >2.76</td>\n",
+ " <td id=\"T_e6b1e_row28_col2\" class=\"data row28 col2\" >98.07</td>\n",
+ " <td id=\"T_e6b1e_row28_col3\" class=\"data row28 col3\" >3.23</td>\n",
+ " <td id=\"T_e6b1e_row28_col4\" class=\"data row28 col4\" >1.48</td>\n",
+ " <td id=\"T_e6b1e_row28_col5\" class=\"data row28 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_e6b1e_row29_col0\" class=\"data row29 col0\" >92.34</td>\n",
+ " <td id=\"T_e6b1e_row29_col1\" class=\"data row29 col1\" >5.11</td>\n",
+ " <td id=\"T_e6b1e_row29_col2\" class=\"data row29 col2\" >98.41</td>\n",
+ " <td id=\"T_e6b1e_row29_col3\" class=\"data row29 col3\" >7.13</td>\n",
+ " <td id=\"T_e6b1e_row29_col4\" class=\"data row29 col4\" >1.11</td>\n",
+ " <td id=\"T_e6b1e_row29_col5\" class=\"data row29 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_e6b1e_row30_col0\" class=\"data row30 col0\" >90.99</td>\n",
+ " <td id=\"T_e6b1e_row30_col1\" class=\"data row30 col1\" >4.17</td>\n",
+ " <td id=\"T_e6b1e_row30_col2\" class=\"data row30 col2\" >97.94</td>\n",
+ " <td id=\"T_e6b1e_row30_col3\" class=\"data row30 col3\" >4.89</td>\n",
+ " <td id=\"T_e6b1e_row30_col4\" class=\"data row30 col4\" >1.28</td>\n",
+ " <td id=\"T_e6b1e_row30_col5\" class=\"data row30 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_e6b1e_row31_col0\" class=\"data row31 col0\" >93.29</td>\n",
+ " <td id=\"T_e6b1e_row31_col1\" class=\"data row31 col1\" >2.59</td>\n",
+ " <td id=\"T_e6b1e_row31_col2\" class=\"data row31 col2\" >97.30</td>\n",
+ " <td id=\"T_e6b1e_row31_col3\" class=\"data row31 col3\" >2.97</td>\n",
+ " <td id=\"T_e6b1e_row31_col4\" class=\"data row31 col4\" >1.56</td>\n",
+ " <td id=\"T_e6b1e_row31_col5\" class=\"data row31 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_e6b1e_row32_col0\" class=\"data row32 col0\" >92.91</td>\n",
+ " <td id=\"T_e6b1e_row32_col1\" class=\"data row32 col1\" >3.51</td>\n",
+ " <td id=\"T_e6b1e_row32_col2\" class=\"data row32 col2\" >98.22</td>\n",
+ " <td id=\"T_e6b1e_row32_col3\" class=\"data row32 col3\" >2.84</td>\n",
+ " <td id=\"T_e6b1e_row32_col4\" class=\"data row32 col4\" >1.26</td>\n",
+ " <td id=\"T_e6b1e_row32_col5\" class=\"data row32 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_e6b1e_row33_col0\" class=\"data row33 col0\" >91.71</td>\n",
+ " <td id=\"T_e6b1e_row33_col1\" class=\"data row33 col1\" >4.04</td>\n",
+ " <td id=\"T_e6b1e_row33_col2\" class=\"data row33 col2\" >96.73</td>\n",
+ " <td id=\"T_e6b1e_row33_col3\" class=\"data row33 col3\" >4.88</td>\n",
+ " <td id=\"T_e6b1e_row33_col4\" class=\"data row33 col4\" >1.55</td>\n",
+ " <td id=\"T_e6b1e_row33_col5\" class=\"data row33 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_e6b1e_row34_col0\" class=\"data row34 col0\" >90.74</td>\n",
+ " <td id=\"T_e6b1e_row34_col1\" class=\"data row34 col1\" >3.43</td>\n",
+ " <td id=\"T_e6b1e_row34_col2\" class=\"data row34 col2\" >96.37</td>\n",
+ " <td id=\"T_e6b1e_row34_col3\" class=\"data row34 col3\" >2.90</td>\n",
+ " <td id=\"T_e6b1e_row34_col4\" class=\"data row34 col4\" >1.71</td>\n",
+ " <td id=\"T_e6b1e_row34_col5\" class=\"data row34 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_e6b1e_row35_col0\" class=\"data row35 col0\" >92.19</td>\n",
+ " <td id=\"T_e6b1e_row35_col1\" class=\"data row35 col1\" >2.64</td>\n",
+ " <td id=\"T_e6b1e_row35_col2\" class=\"data row35 col2\" >98.29</td>\n",
+ " <td id=\"T_e6b1e_row35_col3\" class=\"data row35 col3\" >6.00</td>\n",
+ " <td id=\"T_e6b1e_row35_col4\" class=\"data row35 col4\" >1.20</td>\n",
+ " <td id=\"T_e6b1e_row35_col5\" class=\"data row35 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_e6b1e_row36_col0\" class=\"data row36 col0\" >93.79</td>\n",
+ " <td id=\"T_e6b1e_row36_col1\" class=\"data row36 col1\" >2.97</td>\n",
+ " <td id=\"T_e6b1e_row36_col2\" class=\"data row36 col2\" >98.40</td>\n",
+ " <td id=\"T_e6b1e_row36_col3\" class=\"data row36 col3\" >4.11</td>\n",
+ " <td id=\"T_e6b1e_row36_col4\" class=\"data row36 col4\" >1.24</td>\n",
+ " <td id=\"T_e6b1e_row36_col5\" class=\"data row36 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_e6b1e_row37_col0\" class=\"data row37 col0\" >92.59</td>\n",
+ " <td id=\"T_e6b1e_row37_col1\" class=\"data row37 col1\" >3.85</td>\n",
+ " <td id=\"T_e6b1e_row37_col2\" class=\"data row37 col2\" >96.66</td>\n",
+ " <td id=\"T_e6b1e_row37_col3\" class=\"data row37 col3\" >5.15</td>\n",
+ " <td id=\"T_e6b1e_row37_col4\" class=\"data row37 col4\" >1.55</td>\n",
+ " <td id=\"T_e6b1e_row37_col5\" class=\"data row37 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_e6b1e_row38_col0\" class=\"data row38 col0\" >90.70</td>\n",
+ " <td id=\"T_e6b1e_row38_col1\" class=\"data row38 col1\" >4.16</td>\n",
+ " <td id=\"T_e6b1e_row38_col2\" class=\"data row38 col2\" >97.30</td>\n",
+ " <td id=\"T_e6b1e_row38_col3\" class=\"data row38 col3\" >6.73</td>\n",
+ " <td id=\"T_e6b1e_row38_col4\" class=\"data row38 col4\" >1.29</td>\n",
+ " <td id=\"T_e6b1e_row38_col5\" class=\"data row38 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_e6b1e_row39_col0\" class=\"data row39 col0\" >92.51</td>\n",
+ " <td id=\"T_e6b1e_row39_col1\" class=\"data row39 col1\" >2.54</td>\n",
+ " <td id=\"T_e6b1e_row39_col2\" class=\"data row39 col2\" >97.29</td>\n",
+ " <td id=\"T_e6b1e_row39_col3\" class=\"data row39 col3\" >3.17</td>\n",
+ " <td id=\"T_e6b1e_row39_col4\" class=\"data row39 col4\" >1.55</td>\n",
+ " <td id=\"T_e6b1e_row39_col5\" class=\"data row39 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_e6b1e_row40_col0\" class=\"data row40 col0\" >93.60</td>\n",
+ " <td id=\"T_e6b1e_row40_col1\" class=\"data row40 col1\" >3.50</td>\n",
+ " <td id=\"T_e6b1e_row40_col2\" class=\"data row40 col2\" >97.68</td>\n",
+ " <td id=\"T_e6b1e_row40_col3\" class=\"data row40 col3\" >5.16</td>\n",
+ " <td id=\"T_e6b1e_row40_col4\" class=\"data row40 col4\" >1.22</td>\n",
+ " <td id=\"T_e6b1e_row40_col5\" class=\"data row40 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_e6b1e_row41_col0\" class=\"data row41 col0\" >92.93</td>\n",
+ " <td id=\"T_e6b1e_row41_col1\" class=\"data row41 col1\" >5.05</td>\n",
+ " <td id=\"T_e6b1e_row41_col2\" class=\"data row41 col2\" >97.58</td>\n",
+ " <td id=\"T_e6b1e_row41_col3\" class=\"data row41 col3\" >8.41</td>\n",
+ " <td id=\"T_e6b1e_row41_col4\" class=\"data row41 col4\" >1.23</td>\n",
+ " <td id=\"T_e6b1e_row41_col5\" class=\"data row41 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_e6b1e_row42_col0\" class=\"data row42 col0\" >91.65</td>\n",
+ " <td id=\"T_e6b1e_row42_col1\" class=\"data row42 col1\" >3.24</td>\n",
+ " <td id=\"T_e6b1e_row42_col2\" class=\"data row42 col2\" >97.22</td>\n",
+ " <td id=\"T_e6b1e_row42_col3\" class=\"data row42 col3\" >2.71</td>\n",
+ " <td id=\"T_e6b1e_row42_col4\" class=\"data row42 col4\" >1.57</td>\n",
+ " <td id=\"T_e6b1e_row42_col5\" class=\"data row42 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_e6b1e_row43_col0\" class=\"data row43 col0\" >92.21</td>\n",
+ " <td id=\"T_e6b1e_row43_col1\" class=\"data row43 col1\" >2.85</td>\n",
+ " <td id=\"T_e6b1e_row43_col2\" class=\"data row43 col2\" >97.13</td>\n",
+ " <td id=\"T_e6b1e_row43_col3\" class=\"data row43 col3\" >4.17</td>\n",
+ " <td id=\"T_e6b1e_row43_col4\" class=\"data row43 col4\" >1.51</td>\n",
+ " <td id=\"T_e6b1e_row43_col5\" class=\"data row43 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_e6b1e_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_e6b1e_row44_col0\" class=\"data row44 col0\" >94.41</td>\n",
+ " <td id=\"T_e6b1e_row44_col1\" class=\"data row44 col1\" >2.85</td>\n",
+ " <td id=\"T_e6b1e_row44_col2\" class=\"data row44 col2\" >98.42</td>\n",
+ " <td id=\"T_e6b1e_row44_col3\" class=\"data row44 col3\" >2.02</td>\n",
+ " <td id=\"T_e6b1e_row44_col4\" class=\"data row44 col4\" >1.41</td>\n",
+ " <td id=\"T_e6b1e_row44_col5\" class=\"data row44 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_e6b1e_row45_col0\" class=\"data row45 col0\" >93.65</td>\n",
+ " <td id=\"T_e6b1e_row45_col1\" class=\"data row45 col1\" >3.86</td>\n",
+ " <td id=\"T_e6b1e_row45_col2\" class=\"data row45 col2\" >99.10</td>\n",
+ " <td id=\"T_e6b1e_row45_col3\" class=\"data row45 col3\" >3.21</td>\n",
+ " <td id=\"T_e6b1e_row45_col4\" class=\"data row45 col4\" >1.32</td>\n",
+ " <td id=\"T_e6b1e_row45_col5\" class=\"data row45 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_e6b1e_row46_col0\" class=\"data row46 col0\" >93.88</td>\n",
+ " <td id=\"T_e6b1e_row46_col1\" class=\"data row46 col1\" >2.96</td>\n",
+ " <td id=\"T_e6b1e_row46_col2\" class=\"data row46 col2\" >97.93</td>\n",
+ " <td id=\"T_e6b1e_row46_col3\" class=\"data row46 col3\" >2.90</td>\n",
+ " <td id=\"T_e6b1e_row46_col4\" class=\"data row46 col4\" >1.49</td>\n",
+ " <td id=\"T_e6b1e_row46_col5\" class=\"data row46 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_e6b1e_row47_col0\" class=\"data row47 col0\" >93.20</td>\n",
+ " <td id=\"T_e6b1e_row47_col1\" class=\"data row47 col1\" >2.77</td>\n",
+ " <td id=\"T_e6b1e_row47_col2\" class=\"data row47 col2\" >98.73</td>\n",
+ " <td id=\"T_e6b1e_row47_col3\" class=\"data row47 col3\" >3.29</td>\n",
+ " <td id=\"T_e6b1e_row47_col4\" class=\"data row47 col4\" >1.16</td>\n",
+ " <td id=\"T_e6b1e_row47_col5\" class=\"data row47 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_e6b1e_row48_col0\" class=\"data row48 col0\" >95.18</td>\n",
+ " <td id=\"T_e6b1e_row48_col1\" class=\"data row48 col1\" >2.31</td>\n",
+ " <td id=\"T_e6b1e_row48_col2\" class=\"data row48 col2\" >98.29</td>\n",
+ " <td id=\"T_e6b1e_row48_col3\" class=\"data row48 col3\" >3.03</td>\n",
+ " <td id=\"T_e6b1e_row48_col4\" class=\"data row48 col4\" >1.41</td>\n",
+ " <td id=\"T_e6b1e_row48_col5\" class=\"data row48 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_e6b1e_row49_col0\" class=\"data row49 col0\" >94.17</td>\n",
+ " <td id=\"T_e6b1e_row49_col1\" class=\"data row49 col1\" >3.86</td>\n",
+ " <td id=\"T_e6b1e_row49_col2\" class=\"data row49 col2\" >99.18</td>\n",
+ " <td id=\"T_e6b1e_row49_col3\" class=\"data row49 col3\" >3.05</td>\n",
+ " <td id=\"T_e6b1e_row49_col4\" class=\"data row49 col4\" >1.33</td>\n",
+ " <td id=\"T_e6b1e_row49_col5\" class=\"data row49 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_e6b1e_row50_col0\" class=\"data row50 col0\" >91.24</td>\n",
+ " <td id=\"T_e6b1e_row50_col1\" class=\"data row50 col1\" >4.09</td>\n",
+ " <td id=\"T_e6b1e_row50_col2\" class=\"data row50 col2\" >97.97</td>\n",
+ " <td id=\"T_e6b1e_row50_col3\" class=\"data row50 col3\" >5.85</td>\n",
+ " <td id=\"T_e6b1e_row50_col4\" class=\"data row50 col4\" >1.27</td>\n",
+ " <td id=\"T_e6b1e_row50_col5\" class=\"data row50 col5\" >0.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_e6b1e_row51_col0\" class=\"data row51 col0\" >95.26</td>\n",
+ " <td id=\"T_e6b1e_row51_col1\" class=\"data row51 col1\" >2.15</td>\n",
+ " <td id=\"T_e6b1e_row51_col2\" class=\"data row51 col2\" >99.07</td>\n",
+ " <td id=\"T_e6b1e_row51_col3\" class=\"data row51 col3\" >2.00</td>\n",
+ " <td id=\"T_e6b1e_row51_col4\" class=\"data row51 col4\" >1.38</td>\n",
+ " <td id=\"T_e6b1e_row51_col5\" class=\"data row51 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_e6b1e_row52_col0\" class=\"data row52 col0\" >95.41</td>\n",
+ " <td id=\"T_e6b1e_row52_col1\" class=\"data row52 col1\" >2.30</td>\n",
+ " <td id=\"T_e6b1e_row52_col2\" class=\"data row52 col2\" >98.09</td>\n",
+ " <td id=\"T_e6b1e_row52_col3\" class=\"data row52 col3\" >4.52</td>\n",
+ " <td id=\"T_e6b1e_row52_col4\" class=\"data row52 col4\" >1.35</td>\n",
+ " <td id=\"T_e6b1e_row52_col5\" class=\"data row52 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_e6b1e_row53_col0\" class=\"data row53 col0\" >92.20</td>\n",
+ " <td id=\"T_e6b1e_row53_col1\" class=\"data row53 col1\" >6.03</td>\n",
+ " <td id=\"T_e6b1e_row53_col2\" class=\"data row53 col2\" >98.49</td>\n",
+ " <td id=\"T_e6b1e_row53_col3\" class=\"data row53 col3\" >7.31</td>\n",
+ " <td id=\"T_e6b1e_row53_col4\" class=\"data row53 col4\" >1.10</td>\n",
+ " <td id=\"T_e6b1e_row53_col5\" class=\"data row53 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_e6b1e_row54_col0\" class=\"data row54 col0\" >94.30</td>\n",
+ " <td id=\"T_e6b1e_row54_col1\" class=\"data row54 col1\" >2.69</td>\n",
+ " <td id=\"T_e6b1e_row54_col2\" class=\"data row54 col2\" >98.94</td>\n",
+ " <td id=\"T_e6b1e_row54_col3\" class=\"data row54 col3\" >2.85</td>\n",
+ " <td id=\"T_e6b1e_row54_col4\" class=\"data row54 col4\" >1.39</td>\n",
+ " <td id=\"T_e6b1e_row54_col5\" class=\"data row54 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_e6b1e_row55_col0\" class=\"data row55 col0\" >94.69</td>\n",
+ " <td id=\"T_e6b1e_row55_col1\" class=\"data row55 col1\" >2.53</td>\n",
+ " <td id=\"T_e6b1e_row55_col2\" class=\"data row55 col2\" >98.99</td>\n",
+ " <td id=\"T_e6b1e_row55_col3\" class=\"data row55 col3\" >1.80</td>\n",
+ " <td id=\"T_e6b1e_row55_col4\" class=\"data row55 col4\" >1.37</td>\n",
+ " <td id=\"T_e6b1e_row55_col5\" class=\"data row55 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_e6b1e_row56_col0\" class=\"data row56 col0\" >94.06</td>\n",
+ " <td id=\"T_e6b1e_row56_col1\" class=\"data row56 col1\" >2.94</td>\n",
+ " <td id=\"T_e6b1e_row56_col2\" class=\"data row56 col2\" >98.52</td>\n",
+ " <td id=\"T_e6b1e_row56_col3\" class=\"data row56 col3\" >2.83</td>\n",
+ " <td id=\"T_e6b1e_row56_col4\" class=\"data row56 col4\" >1.22</td>\n",
+ " <td id=\"T_e6b1e_row56_col5\" class=\"data row56 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_e6b1e_row57_col0\" class=\"data row57 col0\" >93.67</td>\n",
+ " <td id=\"T_e6b1e_row57_col1\" class=\"data row57 col1\" >3.84</td>\n",
+ " <td id=\"T_e6b1e_row57_col2\" class=\"data row57 col2\" >97.58</td>\n",
+ " <td id=\"T_e6b1e_row57_col3\" class=\"data row57 col3\" >5.69</td>\n",
+ " <td id=\"T_e6b1e_row57_col4\" class=\"data row57 col4\" >1.41</td>\n",
+ " <td id=\"T_e6b1e_row57_col5\" class=\"data row57 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_e6b1e_row58_col0\" class=\"data row58 col0\" >92.92</td>\n",
+ " <td id=\"T_e6b1e_row58_col1\" class=\"data row58 col1\" >2.71</td>\n",
+ " <td id=\"T_e6b1e_row58_col2\" class=\"data row58 col2\" >98.52</td>\n",
+ " <td id=\"T_e6b1e_row58_col3\" class=\"data row58 col3\" >2.39</td>\n",
+ " <td id=\"T_e6b1e_row58_col4\" class=\"data row58 col4\" >1.44</td>\n",
+ " <td id=\"T_e6b1e_row58_col5\" class=\"data row58 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_e6b1e_row59_col0\" class=\"data row59 col0\" >94.05</td>\n",
+ " <td id=\"T_e6b1e_row59_col1\" class=\"data row59 col1\" >2.68</td>\n",
+ " <td id=\"T_e6b1e_row59_col2\" class=\"data row59 col2\" >98.54</td>\n",
+ " <td id=\"T_e6b1e_row59_col3\" class=\"data row59 col3\" >2.53</td>\n",
+ " <td id=\"T_e6b1e_row59_col4\" class=\"data row59 col4\" >1.36</td>\n",
+ " <td id=\"T_e6b1e_row59_col5\" class=\"data row59 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_e6b1e_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_e6b1e_row60_col0\" class=\"data row60 col0\" >96.41</td>\n",
+ " <td id=\"T_e6b1e_row60_col1\" class=\"data row60 col1\" >2.45</td>\n",
+ " <td id=\"T_e6b1e_row60_col2\" class=\"data row60 col2\" >99.18</td>\n",
+ " <td id=\"T_e6b1e_row60_col3\" class=\"data row60 col3\" >1.82</td>\n",
+ " <td id=\"T_e6b1e_row60_col4\" class=\"data row60 col4\" >1.27</td>\n",
+ " <td id=\"T_e6b1e_row60_col5\" class=\"data row60 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_e6b1e_row61_col0\" class=\"data row61 col0\" >95.26</td>\n",
+ " <td id=\"T_e6b1e_row61_col1\" class=\"data row61 col1\" >4.03</td>\n",
+ " <td id=\"T_e6b1e_row61_col2\" class=\"data row61 col2\" >99.15</td>\n",
+ " <td id=\"T_e6b1e_row61_col3\" class=\"data row61 col3\" >4.00</td>\n",
+ " <td id=\"T_e6b1e_row61_col4\" class=\"data row61 col4\" >1.25</td>\n",
+ " <td id=\"T_e6b1e_row61_col5\" class=\"data row61 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_e6b1e_row62_col0\" class=\"data row62 col0\" >95.77</td>\n",
+ " <td id=\"T_e6b1e_row62_col1\" class=\"data row62 col1\" >2.84</td>\n",
+ " <td id=\"T_e6b1e_row62_col2\" class=\"data row62 col2\" >99.44</td>\n",
+ " <td id=\"T_e6b1e_row62_col3\" class=\"data row62 col3\" >1.45</td>\n",
+ " <td id=\"T_e6b1e_row62_col4\" class=\"data row62 col4\" >1.31</td>\n",
+ " <td id=\"T_e6b1e_row62_col5\" class=\"data row62 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_e6b1e_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_e6b1e_row63_col0\" class=\"data row63 col0\" >96.04</td>\n",
+ " <td id=\"T_e6b1e_row63_col1\" class=\"data row63 col1\" >2.15</td>\n",
+ " <td id=\"T_e6b1e_row63_col2\" class=\"data row63 col2\" >99.66</td>\n",
+ " <td id=\"T_e6b1e_row63_col3\" class=\"data row63 col3\" >1.18</td>\n",
+ " <td id=\"T_e6b1e_row63_col4\" class=\"data row63 col4\" >1.25</td>\n",
+ " <td id=\"T_e6b1e_row63_col5\" class=\"data row63 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dff6c1d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_c81fe td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_c81fe th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_c81fe_row0_col0, #T_c81fe_row0_col2, #T_c81fe_row15_col0, #T_c81fe_row15_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row0_col4, #T_c81fe_row15_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row1_col0 {\n",
+ " background-color: #d5f4d5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row1_col2 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row1_col4 {\n",
+ " background-color: #fb4646;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row2_col0 {\n",
+ " background-color: #d8f4d8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row2_col2 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row2_col4, #T_c81fe_row10_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row3_col0, #T_c81fe_row3_col2, #T_c81fe_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row3_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row4_col0 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row4_col4 {\n",
+ " background-color: #fe1212;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row5_col0 {\n",
+ " background-color: #bbf6bb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row5_col2, #T_c81fe_row10_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row5_col4 {\n",
+ " background-color: #fa5b5b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row6_col0, #T_c81fe_row9_col0, #T_c81fe_row10_col0 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row6_col2 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row6_col4 {\n",
+ " background-color: #fb4f4f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row7_col0 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row7_col2 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row7_col4 {\n",
+ " background-color: #fb4e4e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row8_col0 {\n",
+ " background-color: #d6f4d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row8_col2 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row8_col4 {\n",
+ " background-color: #fd2d2d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row9_col2 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row9_col4 {\n",
+ " background-color: #fb4848;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c81fe_row11_col0 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row11_col2 {\n",
+ " background-color: #64fc64;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row11_col4 {\n",
+ " background-color: #f89292;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row12_col0 {\n",
+ " background-color: #70fb70;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row12_col2 {\n",
+ " background-color: #54fd54;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row12_col4 {\n",
+ " background-color: #f79e9e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row13_col0 {\n",
+ " background-color: #6efb6e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row13_col2 {\n",
+ " background-color: #57fd57;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row13_col4 {\n",
+ " background-color: #f6aaaa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row14_col0 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row14_col2 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c81fe_row14_col4 {\n",
+ " background-color: #f79898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_c81fe\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_c81fe_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_c81fe_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_c81fe_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_c81fe_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_c81fe_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_c81fe_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_c81fe_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_c81fe_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_c81fe_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_c81fe_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_c81fe_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_c81fe_row0_col0\" class=\"data row0 col0\" >95.91</td>\n",
+ " <td id=\"T_c81fe_row0_col1\" class=\"data row0 col1\" >1.62</td>\n",
+ " <td id=\"T_c81fe_row0_col2\" class=\"data row0 col2\" >99.38</td>\n",
+ " <td id=\"T_c81fe_row0_col3\" class=\"data row0 col3\" >1.07</td>\n",
+ " <td id=\"T_c81fe_row0_col4\" class=\"data row0 col4\" >1.27</td>\n",
+ " <td id=\"T_c81fe_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_c81fe_row1_col0\" class=\"data row1 col0\" >91.92</td>\n",
+ " <td id=\"T_c81fe_row1_col1\" class=\"data row1 col1\" >1.77</td>\n",
+ " <td id=\"T_c81fe_row1_col2\" class=\"data row1 col2\" >96.17</td>\n",
+ " <td id=\"T_c81fe_row1_col3\" class=\"data row1 col3\" >2.19</td>\n",
+ " <td id=\"T_c81fe_row1_col4\" class=\"data row1 col4\" >1.48</td>\n",
+ " <td id=\"T_c81fe_row1_col5\" class=\"data row1 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_c81fe_row2_col0\" class=\"data row2 col0\" >91.86</td>\n",
+ " <td id=\"T_c81fe_row2_col1\" class=\"data row2 col1\" >1.81</td>\n",
+ " <td id=\"T_c81fe_row2_col2\" class=\"data row2 col2\" >96.76</td>\n",
+ " <td id=\"T_c81fe_row2_col3\" class=\"data row2 col3\" >2.11</td>\n",
+ " <td id=\"T_c81fe_row2_col4\" class=\"data row2 col4\" >1.46</td>\n",
+ " <td id=\"T_c81fe_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_c81fe_row3_col0\" class=\"data row3 col0\" >91.39</td>\n",
+ " <td id=\"T_c81fe_row3_col1\" class=\"data row3 col1\" >1.80</td>\n",
+ " <td id=\"T_c81fe_row3_col2\" class=\"data row3 col2\" >95.64</td>\n",
+ " <td id=\"T_c81fe_row3_col3\" class=\"data row3 col3\" >2.74</td>\n",
+ " <td id=\"T_c81fe_row3_col4\" class=\"data row3 col4\" >1.56</td>\n",
+ " <td id=\"T_c81fe_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_c81fe_row4_col0\" class=\"data row4 col0\" >91.95</td>\n",
+ " <td id=\"T_c81fe_row4_col1\" class=\"data row4 col1\" >1.80</td>\n",
+ " <td id=\"T_c81fe_row4_col2\" class=\"data row4 col2\" >95.65</td>\n",
+ " <td id=\"T_c81fe_row4_col3\" class=\"data row4 col3\" >2.60</td>\n",
+ " <td id=\"T_c81fe_row4_col4\" class=\"data row4 col4\" >1.54</td>\n",
+ " <td id=\"T_c81fe_row4_col5\" class=\"data row4 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_c81fe_row5_col0\" class=\"data row5 col0\" >92.58</td>\n",
+ " <td id=\"T_c81fe_row5_col1\" class=\"data row5 col1\" >1.84</td>\n",
+ " <td id=\"T_c81fe_row5_col2\" class=\"data row5 col2\" >97.30</td>\n",
+ " <td id=\"T_c81fe_row5_col3\" class=\"data row5 col3\" >1.81</td>\n",
+ " <td id=\"T_c81fe_row5_col4\" class=\"data row5 col4\" >1.45</td>\n",
+ " <td id=\"T_c81fe_row5_col5\" class=\"data row5 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_c81fe_row6_col0\" class=\"data row6 col0\" >92.53</td>\n",
+ " <td id=\"T_c81fe_row6_col1\" class=\"data row6 col1\" >1.68</td>\n",
+ " <td id=\"T_c81fe_row6_col2\" class=\"data row6 col2\" >97.21</td>\n",
+ " <td id=\"T_c81fe_row6_col3\" class=\"data row6 col3\" >2.15</td>\n",
+ " <td id=\"T_c81fe_row6_col4\" class=\"data row6 col4\" >1.47</td>\n",
+ " <td id=\"T_c81fe_row6_col5\" class=\"data row6 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_c81fe_row7_col0\" class=\"data row7 col0\" >92.95</td>\n",
+ " <td id=\"T_c81fe_row7_col1\" class=\"data row7 col1\" >1.82</td>\n",
+ " <td id=\"T_c81fe_row7_col2\" class=\"data row7 col2\" >97.76</td>\n",
+ " <td id=\"T_c81fe_row7_col3\" class=\"data row7 col3\" >1.93</td>\n",
+ " <td id=\"T_c81fe_row7_col4\" class=\"data row7 col4\" >1.47</td>\n",
+ " <td id=\"T_c81fe_row7_col5\" class=\"data row7 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_c81fe_row8_col0\" class=\"data row8 col0\" >91.90</td>\n",
+ " <td id=\"T_c81fe_row8_col1\" class=\"data row8 col1\" >1.85</td>\n",
+ " <td id=\"T_c81fe_row8_col2\" class=\"data row8 col2\" >97.04</td>\n",
+ " <td id=\"T_c81fe_row8_col3\" class=\"data row8 col3\" >2.38</td>\n",
+ " <td id=\"T_c81fe_row8_col4\" class=\"data row8 col4\" >1.51</td>\n",
+ " <td id=\"T_c81fe_row8_col5\" class=\"data row8 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_c81fe_row9_col0\" class=\"data row9 col0\" >92.50</td>\n",
+ " <td id=\"T_c81fe_row9_col1\" class=\"data row9 col1\" >1.69</td>\n",
+ " <td id=\"T_c81fe_row9_col2\" class=\"data row9 col2\" >97.36</td>\n",
+ " <td id=\"T_c81fe_row9_col3\" class=\"data row9 col3\" >2.14</td>\n",
+ " <td id=\"T_c81fe_row9_col4\" class=\"data row9 col4\" >1.48</td>\n",
+ " <td id=\"T_c81fe_row9_col5\" class=\"data row9 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_c81fe_row10_col0\" class=\"data row10 col0\" >92.53</td>\n",
+ " <td id=\"T_c81fe_row10_col1\" class=\"data row10 col1\" >1.77</td>\n",
+ " <td id=\"T_c81fe_row10_col2\" class=\"data row10 col2\" >97.30</td>\n",
+ " <td id=\"T_c81fe_row10_col3\" class=\"data row10 col3\" >2.04</td>\n",
+ " <td id=\"T_c81fe_row10_col4\" class=\"data row10 col4\" >1.46</td>\n",
+ " <td id=\"T_c81fe_row10_col5\" class=\"data row10 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_c81fe_row11_col0\" class=\"data row11 col0\" >93.82</td>\n",
+ " <td id=\"T_c81fe_row11_col1\" class=\"data row11 col1\" >1.67</td>\n",
+ " <td id=\"T_c81fe_row11_col2\" class=\"data row11 col2\" >98.39</td>\n",
+ " <td id=\"T_c81fe_row11_col3\" class=\"data row11 col3\" >1.60</td>\n",
+ " <td id=\"T_c81fe_row11_col4\" class=\"data row11 col4\" >1.39</td>\n",
+ " <td id=\"T_c81fe_row11_col5\" class=\"data row11 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_c81fe_row12_col0\" class=\"data row12 col0\" >94.42</td>\n",
+ " <td id=\"T_c81fe_row12_col1\" class=\"data row12 col1\" >1.61</td>\n",
+ " <td id=\"T_c81fe_row12_col2\" class=\"data row12 col2\" >98.71</td>\n",
+ " <td id=\"T_c81fe_row12_col3\" class=\"data row12 col3\" >1.50</td>\n",
+ " <td id=\"T_c81fe_row12_col4\" class=\"data row12 col4\" >1.37</td>\n",
+ " <td id=\"T_c81fe_row12_col5\" class=\"data row12 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_c81fe_row13_col0\" class=\"data row13 col0\" >94.47</td>\n",
+ " <td id=\"T_c81fe_row13_col1\" class=\"data row13 col1\" >1.62</td>\n",
+ " <td id=\"T_c81fe_row13_col2\" class=\"data row13 col2\" >98.67</td>\n",
+ " <td id=\"T_c81fe_row13_col3\" class=\"data row13 col3\" >1.78</td>\n",
+ " <td id=\"T_c81fe_row13_col4\" class=\"data row13 col4\" >1.36</td>\n",
+ " <td id=\"T_c81fe_row13_col5\" class=\"data row13 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_c81fe_row14_col0\" class=\"data row14 col0\" >93.71</td>\n",
+ " <td id=\"T_c81fe_row14_col1\" class=\"data row14 col1\" >1.67</td>\n",
+ " <td id=\"T_c81fe_row14_col2\" class=\"data row14 col2\" >98.30</td>\n",
+ " <td id=\"T_c81fe_row14_col3\" class=\"data row14 col3\" >1.76</td>\n",
+ " <td id=\"T_c81fe_row14_col4\" class=\"data row14 col4\" >1.38</td>\n",
+ " <td id=\"T_c81fe_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c81fe_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_c81fe_row15_col0\" class=\"data row15 col0\" >95.91</td>\n",
+ " <td id=\"T_c81fe_row15_col1\" class=\"data row15 col1\" >1.62</td>\n",
+ " <td id=\"T_c81fe_row15_col2\" class=\"data row15 col2\" >99.38</td>\n",
+ " <td id=\"T_c81fe_row15_col3\" class=\"data row15 col3\" >1.07</td>\n",
+ " <td id=\"T_c81fe_row15_col4\" class=\"data row15 col4\" >1.27</td>\n",
+ " <td id=\"T_c81fe_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7151240ce0d0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_qos(\"medium\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_bcc20 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_bcc20 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_bcc20_row0_col0 {\n",
+ " background-color: #78fb78;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row0_col2 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row0_col4, #T_bcc20_row60_col4 {\n",
+ " background-color: #f97575;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row1_col0, #T_bcc20_row32_col0 {\n",
+ " background-color: #a7f7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row1_col2 {\n",
+ " background-color: #84fa84;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row1_col4, #T_bcc20_row11_col4, #T_bcc20_row61_col4 {\n",
+ " background-color: #fa6868;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row2_col0, #T_bcc20_row34_col2 {\n",
+ " background-color: #86fa86;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row2_col2 {\n",
+ " background-color: #73fb73;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row2_col4, #T_bcc20_row62_col4 {\n",
+ " background-color: #f89292;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row3_col0 {\n",
+ " background-color: #70fb70;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row3_col2 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row3_col4, #T_bcc20_row63_col4 {\n",
+ " background-color: #f88888;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row4_col0 {\n",
+ " background-color: #38ff38;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row4_col2 {\n",
+ " background-color: #3cfe3c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row4_col4, #T_bcc20_row42_col4 {\n",
+ " background-color: #f5cccc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row5_col0, #T_bcc20_row48_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row5_col2, #T_bcc20_row35_col2 {\n",
+ " background-color: #a8f7a8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row5_col4, #T_bcc20_row38_col4 {\n",
+ " background-color: #fd3131;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row6_col0, #T_bcc20_row23_col0 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row6_col2 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row6_col4 {\n",
+ " background-color: #fa6969;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row7_col0, #T_bcc20_row11_col2, #T_bcc20_row15_col0 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row7_col2 {\n",
+ " background-color: #96f996;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row7_col4 {\n",
+ " background-color: #fa6262;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row8_col0, #T_bcc20_row12_col0, #T_bcc20_row15_col2, #T_bcc20_row31_col0, #T_bcc20_row34_col0 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row8_col2, #T_bcc20_row12_col2, #T_bcc20_row16_col0 {\n",
+ " background-color: #98f898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row8_col4, #T_bcc20_row16_col4 {\n",
+ " background-color: #fb5151;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row9_col0 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row9_col2, #T_bcc20_row19_col0 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row9_col4 {\n",
+ " background-color: #f4dbdb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row10_col0, #T_bcc20_row18_col2 {\n",
+ " background-color: #9df89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row10_col2 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row10_col4 {\n",
+ " background-color: #f97272;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row11_col0 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row12_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row13_col0 {\n",
+ " background-color: #b9f6b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row13_col2, #T_bcc20_row24_col0 {\n",
+ " background-color: #a0f8a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row13_col4 {\n",
+ " background-color: #fc3e3e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row14_col0 {\n",
+ " background-color: #52fd52;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row14_col2 {\n",
+ " background-color: #35ff35;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row14_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row15_col4 {\n",
+ " background-color: #fa6363;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row16_col2, #T_bcc20_row31_col2 {\n",
+ " background-color: #9bf89b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row17_col0, #T_bcc20_row29_col2, #T_bcc20_row33_col0, #T_bcc20_row42_col2, #T_bcc20_row56_col0 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row17_col2 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row17_col4 {\n",
+ " background-color: #fc4141;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row18_col0, #T_bcc20_row23_col2 {\n",
+ " background-color: #a9f7a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row18_col4 {\n",
+ " background-color: #fa5a5a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row19_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row19_col4 {\n",
+ " background-color: #f4dcdc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row20_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row20_col2 {\n",
+ " background-color: #81fa81;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row20_col4 {\n",
+ " background-color: #f6b5b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row21_col0, #T_bcc20_row22_col0 {\n",
+ " background-color: #baf6ba;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row21_col2, #T_bcc20_row28_col2 {\n",
+ " background-color: #a1f8a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row21_col4 {\n",
+ " background-color: #f6b8b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row22_col2, #T_bcc20_row41_col2 {\n",
+ " background-color: #b1f7b1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row22_col4 {\n",
+ " background-color: #fc4040;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row23_col4 {\n",
+ " background-color: #fb4646;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row24_col2 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row24_col4 {\n",
+ " background-color: #f6abab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row25_col0, #T_bcc20_row46_col0 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row25_col2, #T_bcc20_row38_col0, #T_bcc20_row48_col0 {\n",
+ " background-color: #bcf6bc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row25_col4 {\n",
+ " background-color: #fe1212;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row26_col0, #T_bcc20_row43_col2 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row26_col2, #T_bcc20_row27_col2, #T_bcc20_row32_col2 {\n",
+ " background-color: #aaf7aa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row26_col4 {\n",
+ " background-color: #f4dada;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row27_col0 {\n",
+ " background-color: #a6f7a6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row27_col4 {\n",
+ " background-color: #fc3f3f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row28_col0, #T_bcc20_row33_col2 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row28_col4 {\n",
+ " background-color: #f6b2b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row29_col0 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row29_col4 {\n",
+ " background-color: #fe1818;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row30_col0, #T_bcc20_row59_col0 {\n",
+ " background-color: #c4f5c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row30_col2, #T_bcc20_row44_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row30_col4 {\n",
+ " background-color: #fd2424;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row31_col4 {\n",
+ " background-color: #f5c8c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row32_col4, #T_bcc20_row40_col4 {\n",
+ " background-color: #fc3636;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row33_col4, #T_bcc20_row58_col4 {\n",
+ " background-color: #f6b4b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row34_col4 {\n",
+ " background-color: #f4dede;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row35_col0 {\n",
+ " background-color: #a3f8a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row35_col4 {\n",
+ " background-color: #fc4444;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row36_col0, #T_bcc20_row40_col0 {\n",
+ " background-color: #abf7ab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row36_col2, #T_bcc20_row51_col0 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row36_col4 {\n",
+ " background-color: #fc3434;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row37_col0 {\n",
+ " background-color: #b5f6b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row37_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row37_col4 {\n",
+ " background-color: #f6b7b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row38_col2, #T_bcc20_row51_col2 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row39_col0 {\n",
+ " background-color: #72fb72;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row39_col2 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row39_col4 {\n",
+ " background-color: #f4d1d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row40_col2 {\n",
+ " background-color: #adf7ad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row41_col0, #T_bcc20_row52_col0, #T_bcc20_row57_col2 {\n",
+ " background-color: #c5f5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row41_col4 {\n",
+ " background-color: #fd2929;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row42_col0 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row43_col0 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row43_col4 {\n",
+ " background-color: #f6aeae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row44_col0, #T_bcc20_row47_col2, #T_bcc20_row56_col2 {\n",
+ " background-color: #bbf6bb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row44_col4 {\n",
+ " background-color: #f89393;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row45_col0, #T_bcc20_row58_col0 {\n",
+ " background-color: #d8f4d8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row45_col2 {\n",
+ " background-color: #cdf5cd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row45_col4 {\n",
+ " background-color: #f88a8a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row46_col2, #T_bcc20_row52_col2, #T_bcc20_row53_col2, #T_bcc20_row59_col2 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row46_col4 {\n",
+ " background-color: #f5c1c1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row47_col0 {\n",
+ " background-color: #b7f6b7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row47_col4 {\n",
+ " background-color: #fd2222;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row48_col4 {\n",
+ " background-color: #f79898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row49_col0, #T_bcc20_row60_col2 {\n",
+ " background-color: #d7f4d7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row49_col2 {\n",
+ " background-color: #cbf5cb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row49_col4 {\n",
+ " background-color: #f88f8f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row50_col0, #T_bcc20_row55_col2, #T_bcc20_row57_col0 {\n",
+ " background-color: #d3f5d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row50_col2, #T_bcc20_row55_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row50_col4, #T_bcc20_row53_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row51_col4 {\n",
+ " background-color: #f6b8b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row52_col4 {\n",
+ " background-color: #f88d8d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row53_col0, #T_bcc20_row58_col2, #T_bcc20_row60_col0 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row54_col0 {\n",
+ " background-color: #e0f4e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row54_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row54_col4 {\n",
+ " background-color: #f6adad;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row55_col4 {\n",
+ " background-color: #f79696;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row56_col4 {\n",
+ " background-color: #fe1c1c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row57_col4 {\n",
+ " background-color: #f88c8c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_bcc20_row59_col4 {\n",
+ " background-color: #f7a1a1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row61_col0 {\n",
+ " background-color: #e6f3e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row61_col2 {\n",
+ " background-color: #e1f4e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row62_col0, #T_bcc20_row62_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row63_col0 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_bcc20_row63_col2 {\n",
+ " background-color: #dcf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_bcc20\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_bcc20_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_bcc20_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_bcc20_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_bcc20_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_bcc20_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_bcc20_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_bcc20_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_bcc20_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_bcc20_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_bcc20_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_bcc20_row0_col0\" class=\"data row0 col0\" >24.80</td>\n",
+ " <td id=\"T_bcc20_row0_col1\" class=\"data row0 col1\" >2.66</td>\n",
+ " <td id=\"T_bcc20_row0_col2\" class=\"data row0 col2\" >1.59</td>\n",
+ " <td id=\"T_bcc20_row0_col3\" class=\"data row0 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row0_col4\" class=\"data row0 col4\" >37.41</td>\n",
+ " <td id=\"T_bcc20_row0_col5\" class=\"data row0 col5\" >5.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_bcc20_row1_col0\" class=\"data row1 col0\" >15.63</td>\n",
+ " <td id=\"T_bcc20_row1_col1\" class=\"data row1 col1\" >2.05</td>\n",
+ " <td id=\"T_bcc20_row1_col2\" class=\"data row1 col2\" >1.48</td>\n",
+ " <td id=\"T_bcc20_row1_col3\" class=\"data row1 col3\" >0.19</td>\n",
+ " <td id=\"T_bcc20_row1_col4\" class=\"data row1 col4\" >40.70</td>\n",
+ " <td id=\"T_bcc20_row1_col5\" class=\"data row1 col5\" >8.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_bcc20_row2_col0\" class=\"data row2 col0\" >22.12</td>\n",
+ " <td id=\"T_bcc20_row2_col1\" class=\"data row2 col1\" >2.09</td>\n",
+ " <td id=\"T_bcc20_row2_col2\" class=\"data row2 col2\" >1.70</td>\n",
+ " <td id=\"T_bcc20_row2_col3\" class=\"data row2 col3\" >0.16</td>\n",
+ " <td id=\"T_bcc20_row2_col4\" class=\"data row2 col4\" >29.38</td>\n",
+ " <td id=\"T_bcc20_row2_col5\" class=\"data row2 col5\" >5.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_bcc20_row3_col0\" class=\"data row3 col0\" >26.40</td>\n",
+ " <td id=\"T_bcc20_row3_col1\" class=\"data row3 col1\" >2.27</td>\n",
+ " <td id=\"T_bcc20_row3_col2\" class=\"data row3 col2\" >1.64</td>\n",
+ " <td id=\"T_bcc20_row3_col3\" class=\"data row3 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row3_col4\" class=\"data row3 col4\" >32.17</td>\n",
+ " <td id=\"T_bcc20_row3_col5\" class=\"data row3 col5\" >7.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_bcc20_row4_col0\" class=\"data row4 col0\" >37.63</td>\n",
+ " <td id=\"T_bcc20_row4_col1\" class=\"data row4 col1\" >3.59</td>\n",
+ " <td id=\"T_bcc20_row4_col2\" class=\"data row4 col2\" >2.41</td>\n",
+ " <td id=\"T_bcc20_row4_col3\" class=\"data row4 col3\" >0.23</td>\n",
+ " <td id=\"T_bcc20_row4_col4\" class=\"data row4 col4\" >13.46</td>\n",
+ " <td id=\"T_bcc20_row4_col5\" class=\"data row4 col5\" >4.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_bcc20_row5_col0\" class=\"data row5 col0\" >10.74</td>\n",
+ " <td id=\"T_bcc20_row5_col1\" class=\"data row5 col1\" >2.23</td>\n",
+ " <td id=\"T_bcc20_row5_col2\" class=\"data row5 col2\" >1.01</td>\n",
+ " <td id=\"T_bcc20_row5_col3\" class=\"data row5 col3\" >0.21</td>\n",
+ " <td id=\"T_bcc20_row5_col4\" class=\"data row5 col4\" >55.98</td>\n",
+ " <td id=\"T_bcc20_row5_col5\" class=\"data row5 col5\" >8.69</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_bcc20_row6_col0\" class=\"data row6 col0\" >16.01</td>\n",
+ " <td id=\"T_bcc20_row6_col1\" class=\"data row6 col1\" >2.25</td>\n",
+ " <td id=\"T_bcc20_row6_col2\" class=\"data row6 col2\" >1.23</td>\n",
+ " <td id=\"T_bcc20_row6_col3\" class=\"data row6 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row6_col4\" class=\"data row6 col4\" >40.37</td>\n",
+ " <td id=\"T_bcc20_row6_col5\" class=\"data row6 col5\" >6.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_bcc20_row7_col0\" class=\"data row7 col0\" >19.99</td>\n",
+ " <td id=\"T_bcc20_row7_col1\" class=\"data row7 col1\" >2.51</td>\n",
+ " <td id=\"T_bcc20_row7_col2\" class=\"data row7 col2\" >1.25</td>\n",
+ " <td id=\"T_bcc20_row7_col3\" class=\"data row7 col3\" >0.16</td>\n",
+ " <td id=\"T_bcc20_row7_col4\" class=\"data row7 col4\" >42.42</td>\n",
+ " <td id=\"T_bcc20_row7_col5\" class=\"data row7 col5\" >7.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_bcc20_row8_col0\" class=\"data row8 col0\" >19.07</td>\n",
+ " <td id=\"T_bcc20_row8_col1\" class=\"data row8 col1\" >2.38</td>\n",
+ " <td id=\"T_bcc20_row8_col2\" class=\"data row8 col2\" >1.22</td>\n",
+ " <td id=\"T_bcc20_row8_col3\" class=\"data row8 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row8_col4\" class=\"data row8 col4\" >47.17</td>\n",
+ " <td id=\"T_bcc20_row8_col5\" class=\"data row8 col5\" >6.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_bcc20_row9_col0\" class=\"data row9 col0\" >26.64</td>\n",
+ " <td id=\"T_bcc20_row9_col1\" class=\"data row9 col1\" >2.91</td>\n",
+ " <td id=\"T_bcc20_row9_col2\" class=\"data row9 col2\" >2.52</td>\n",
+ " <td id=\"T_bcc20_row9_col3\" class=\"data row9 col3\" >0.27</td>\n",
+ " <td id=\"T_bcc20_row9_col4\" class=\"data row9 col4\" >9.33</td>\n",
+ " <td id=\"T_bcc20_row9_col5\" class=\"data row9 col5\" >3.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_bcc20_row10_col0\" class=\"data row10 col0\" >17.55</td>\n",
+ " <td id=\"T_bcc20_row10_col1\" class=\"data row10 col1\" >1.81</td>\n",
+ " <td id=\"T_bcc20_row10_col2\" class=\"data row10 col2\" >1.35</td>\n",
+ " <td id=\"T_bcc20_row10_col3\" class=\"data row10 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row10_col4\" class=\"data row10 col4\" >38.10</td>\n",
+ " <td id=\"T_bcc20_row10_col5\" class=\"data row10 col5\" >6.53</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_bcc20_row11_col0\" class=\"data row11 col0\" >21.12</td>\n",
+ " <td id=\"T_bcc20_row11_col1\" class=\"data row11 col1\" >2.48</td>\n",
+ " <td id=\"T_bcc20_row11_col2\" class=\"data row11 col2\" >1.32</td>\n",
+ " <td id=\"T_bcc20_row11_col3\" class=\"data row11 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row11_col4\" class=\"data row11 col4\" >41.00</td>\n",
+ " <td id=\"T_bcc20_row11_col5\" class=\"data row11 col5\" >7.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_bcc20_row12_col0\" class=\"data row12 col0\" >18.99</td>\n",
+ " <td id=\"T_bcc20_row12_col1\" class=\"data row12 col1\" >2.72</td>\n",
+ " <td id=\"T_bcc20_row12_col2\" class=\"data row12 col2\" >1.21</td>\n",
+ " <td id=\"T_bcc20_row12_col3\" class=\"data row12 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row12_col4\" class=\"data row12 col4\" >46.58</td>\n",
+ " <td id=\"T_bcc20_row12_col5\" class=\"data row12 col5\" >7.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_bcc20_row13_col0\" class=\"data row13 col0\" >11.83</td>\n",
+ " <td id=\"T_bcc20_row13_col1\" class=\"data row13 col1\" >2.19</td>\n",
+ " <td id=\"T_bcc20_row13_col2\" class=\"data row13 col2\" >1.12</td>\n",
+ " <td id=\"T_bcc20_row13_col3\" class=\"data row13 col3\" >0.21</td>\n",
+ " <td id=\"T_bcc20_row13_col4\" class=\"data row13 col4\" >52.25</td>\n",
+ " <td id=\"T_bcc20_row13_col5\" class=\"data row13 col5\" >9.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_bcc20_row14_col0\" class=\"data row14 col0\" >32.43</td>\n",
+ " <td id=\"T_bcc20_row14_col1\" class=\"data row14 col1\" >3.89</td>\n",
+ " <td id=\"T_bcc20_row14_col2\" class=\"data row14 col2\" >2.49</td>\n",
+ " <td id=\"T_bcc20_row14_col3\" class=\"data row14 col3\" >0.30</td>\n",
+ " <td id=\"T_bcc20_row14_col4\" class=\"data row14 col4\" >3.53</td>\n",
+ " <td id=\"T_bcc20_row14_col5\" class=\"data row14 col5\" >2.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_bcc20_row15_col0\" class=\"data row15 col0\" >20.07</td>\n",
+ " <td id=\"T_bcc20_row15_col1\" class=\"data row15 col1\" >2.59</td>\n",
+ " <td id=\"T_bcc20_row15_col2\" class=\"data row15 col2\" >1.25</td>\n",
+ " <td id=\"T_bcc20_row15_col3\" class=\"data row15 col3\" >0.16</td>\n",
+ " <td id=\"T_bcc20_row15_col4\" class=\"data row15 col4\" >42.24</td>\n",
+ " <td id=\"T_bcc20_row15_col5\" class=\"data row15 col5\" >7.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_bcc20_row16_col0\" class=\"data row16 col0\" >18.44</td>\n",
+ " <td id=\"T_bcc20_row16_col1\" class=\"data row16 col1\" >2.32</td>\n",
+ " <td id=\"T_bcc20_row16_col2\" class=\"data row16 col2\" >1.18</td>\n",
+ " <td id=\"T_bcc20_row16_col3\" class=\"data row16 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row16_col4\" class=\"data row16 col4\" >47.08</td>\n",
+ " <td id=\"T_bcc20_row16_col5\" class=\"data row16 col5\" >7.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_bcc20_row17_col0\" class=\"data row17 col0\" >12.02</td>\n",
+ " <td id=\"T_bcc20_row17_col1\" class=\"data row17 col1\" >2.43</td>\n",
+ " <td id=\"T_bcc20_row17_col2\" class=\"data row17 col2\" >1.13</td>\n",
+ " <td id=\"T_bcc20_row17_col3\" class=\"data row17 col3\" >0.23</td>\n",
+ " <td id=\"T_bcc20_row17_col4\" class=\"data row17 col4\" >51.42</td>\n",
+ " <td id=\"T_bcc20_row17_col5\" class=\"data row17 col5\" >8.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_bcc20_row18_col0\" class=\"data row18 col0\" >15.17</td>\n",
+ " <td id=\"T_bcc20_row18_col1\" class=\"data row18 col1\" >2.23</td>\n",
+ " <td id=\"T_bcc20_row18_col2\" class=\"data row18 col2\" >1.17</td>\n",
+ " <td id=\"T_bcc20_row18_col3\" class=\"data row18 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row18_col4\" class=\"data row18 col4\" >44.46</td>\n",
+ " <td id=\"T_bcc20_row18_col5\" class=\"data row18 col5\" >7.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_bcc20_row19_col0\" class=\"data row19 col0\" >38.50</td>\n",
+ " <td id=\"T_bcc20_row19_col1\" class=\"data row19 col1\" >4.33</td>\n",
+ " <td id=\"T_bcc20_row19_col2\" class=\"data row19 col2\" >2.40</td>\n",
+ " <td id=\"T_bcc20_row19_col3\" class=\"data row19 col3\" >0.27</td>\n",
+ " <td id=\"T_bcc20_row19_col4\" class=\"data row19 col4\" >8.95</td>\n",
+ " <td id=\"T_bcc20_row19_col5\" class=\"data row19 col5\" >4.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_bcc20_row20_col0\" class=\"data row20 col0\" >23.66</td>\n",
+ " <td id=\"T_bcc20_row20_col1\" class=\"data row20 col1\" >2.73</td>\n",
+ " <td id=\"T_bcc20_row20_col2\" class=\"data row20 col2\" >1.51</td>\n",
+ " <td id=\"T_bcc20_row20_col3\" class=\"data row20 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row20_col4\" class=\"data row20 col4\" >19.75</td>\n",
+ " <td id=\"T_bcc20_row20_col5\" class=\"data row20 col5\" >5.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_bcc20_row21_col0\" class=\"data row21 col0\" >11.69</td>\n",
+ " <td id=\"T_bcc20_row21_col1\" class=\"data row21 col1\" >2.64</td>\n",
+ " <td id=\"T_bcc20_row21_col2\" class=\"data row21 col2\" >1.10</td>\n",
+ " <td id=\"T_bcc20_row21_col3\" class=\"data row21 col3\" >0.25</td>\n",
+ " <td id=\"T_bcc20_row21_col4\" class=\"data row21 col4\" >19.16</td>\n",
+ " <td id=\"T_bcc20_row21_col5\" class=\"data row21 col5\" >5.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_bcc20_row22_col0\" class=\"data row22 col0\" >11.72</td>\n",
+ " <td id=\"T_bcc20_row22_col1\" class=\"data row22 col1\" >2.04</td>\n",
+ " <td id=\"T_bcc20_row22_col2\" class=\"data row22 col2\" >0.90</td>\n",
+ " <td id=\"T_bcc20_row22_col3\" class=\"data row22 col3\" >0.16</td>\n",
+ " <td id=\"T_bcc20_row22_col4\" class=\"data row22 col4\" >51.87</td>\n",
+ " <td id=\"T_bcc20_row22_col5\" class=\"data row22 col5\" >6.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_bcc20_row23_col0\" class=\"data row23 col0\" >16.13</td>\n",
+ " <td id=\"T_bcc20_row23_col1\" class=\"data row23 col1\" >2.43</td>\n",
+ " <td id=\"T_bcc20_row23_col2\" class=\"data row23 col2\" >1.00</td>\n",
+ " <td id=\"T_bcc20_row23_col3\" class=\"data row23 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row23_col4\" class=\"data row23 col4\" >50.14</td>\n",
+ " <td id=\"T_bcc20_row23_col5\" class=\"data row23 col5\" >7.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_bcc20_row24_col0\" class=\"data row24 col0\" >16.94</td>\n",
+ " <td id=\"T_bcc20_row24_col1\" class=\"data row24 col1\" >3.17</td>\n",
+ " <td id=\"T_bcc20_row24_col2\" class=\"data row24 col2\" >1.08</td>\n",
+ " <td id=\"T_bcc20_row24_col3\" class=\"data row24 col3\" >0.20</td>\n",
+ " <td id=\"T_bcc20_row24_col4\" class=\"data row24 col4\" >22.37</td>\n",
+ " <td id=\"T_bcc20_row24_col5\" class=\"data row24 col5\" >5.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_bcc20_row25_col0\" class=\"data row25 col0\" >8.03</td>\n",
+ " <td id=\"T_bcc20_row25_col1\" class=\"data row25 col1\" >1.99</td>\n",
+ " <td id=\"T_bcc20_row25_col2\" class=\"data row25 col2\" >0.76</td>\n",
+ " <td id=\"T_bcc20_row25_col3\" class=\"data row25 col3\" >0.19</td>\n",
+ " <td id=\"T_bcc20_row25_col4\" class=\"data row25 col4\" >64.36</td>\n",
+ " <td id=\"T_bcc20_row25_col5\" class=\"data row25 col5\" >8.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_bcc20_row26_col0\" class=\"data row26 col0\" >12.88</td>\n",
+ " <td id=\"T_bcc20_row26_col1\" class=\"data row26 col1\" >2.88</td>\n",
+ " <td id=\"T_bcc20_row26_col2\" class=\"data row26 col2\" >0.99</td>\n",
+ " <td id=\"T_bcc20_row26_col3\" class=\"data row26 col3\" >0.22</td>\n",
+ " <td id=\"T_bcc20_row26_col4\" class=\"data row26 col4\" >9.65</td>\n",
+ " <td id=\"T_bcc20_row26_col5\" class=\"data row26 col5\" >3.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_bcc20_row27_col0\" class=\"data row27 col0\" >15.79</td>\n",
+ " <td id=\"T_bcc20_row27_col1\" class=\"data row27 col1\" >2.75</td>\n",
+ " <td id=\"T_bcc20_row27_col2\" class=\"data row27 col2\" >0.98</td>\n",
+ " <td id=\"T_bcc20_row27_col3\" class=\"data row27 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row27_col4\" class=\"data row27 col4\" >52.08</td>\n",
+ " <td id=\"T_bcc20_row27_col5\" class=\"data row27 col5\" >7.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_bcc20_row28_col0\" class=\"data row28 col0\" >17.30</td>\n",
+ " <td id=\"T_bcc20_row28_col1\" class=\"data row28 col1\" >3.33</td>\n",
+ " <td id=\"T_bcc20_row28_col2\" class=\"data row28 col2\" >1.11</td>\n",
+ " <td id=\"T_bcc20_row28_col3\" class=\"data row28 col3\" >0.21</td>\n",
+ " <td id=\"T_bcc20_row28_col4\" class=\"data row28 col4\" >20.64</td>\n",
+ " <td id=\"T_bcc20_row28_col5\" class=\"data row28 col5\" >5.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_bcc20_row29_col0\" class=\"data row29 col0\" >8.54</td>\n",
+ " <td id=\"T_bcc20_row29_col1\" class=\"data row29 col1\" >2.16</td>\n",
+ " <td id=\"T_bcc20_row29_col2\" class=\"data row29 col2\" >0.81</td>\n",
+ " <td id=\"T_bcc20_row29_col3\" class=\"data row29 col3\" >0.20</td>\n",
+ " <td id=\"T_bcc20_row29_col4\" class=\"data row29 col4\" >62.59</td>\n",
+ " <td id=\"T_bcc20_row29_col5\" class=\"data row29 col5\" >9.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_bcc20_row30_col0\" class=\"data row30 col0\" >9.78</td>\n",
+ " <td id=\"T_bcc20_row30_col1\" class=\"data row30 col1\" >1.85</td>\n",
+ " <td id=\"T_bcc20_row30_col2\" class=\"data row30 col2\" >0.75</td>\n",
+ " <td id=\"T_bcc20_row30_col3\" class=\"data row30 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row30_col4\" class=\"data row30 col4\" >59.56</td>\n",
+ " <td id=\"T_bcc20_row30_col5\" class=\"data row30 col5\" >7.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_bcc20_row31_col0\" class=\"data row31 col0\" >18.99</td>\n",
+ " <td id=\"T_bcc20_row31_col1\" class=\"data row31 col1\" >3.16</td>\n",
+ " <td id=\"T_bcc20_row31_col2\" class=\"data row31 col2\" >1.18</td>\n",
+ " <td id=\"T_bcc20_row31_col3\" class=\"data row31 col3\" >0.20</td>\n",
+ " <td id=\"T_bcc20_row31_col4\" class=\"data row31 col4\" >14.74</td>\n",
+ " <td id=\"T_bcc20_row31_col5\" class=\"data row31 col5\" >5.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_bcc20_row32_col0\" class=\"data row32 col0\" >15.39</td>\n",
+ " <td id=\"T_bcc20_row32_col1\" class=\"data row32 col1\" >2.60</td>\n",
+ " <td id=\"T_bcc20_row32_col2\" class=\"data row32 col2\" >0.98</td>\n",
+ " <td id=\"T_bcc20_row32_col3\" class=\"data row32 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row32_col4\" class=\"data row32 col4\" >54.69</td>\n",
+ " <td id=\"T_bcc20_row32_col5\" class=\"data row32 col5\" >7.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_bcc20_row33_col0\" class=\"data row33 col0\" >12.13</td>\n",
+ " <td id=\"T_bcc20_row33_col1\" class=\"data row33 col1\" >2.42</td>\n",
+ " <td id=\"T_bcc20_row33_col2\" class=\"data row33 col2\" >1.15</td>\n",
+ " <td id=\"T_bcc20_row33_col3\" class=\"data row33 col3\" >0.23</td>\n",
+ " <td id=\"T_bcc20_row33_col4\" class=\"data row33 col4\" >20.17</td>\n",
+ " <td id=\"T_bcc20_row33_col5\" class=\"data row33 col5\" >6.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_bcc20_row34_col0\" class=\"data row34 col0\" >18.99</td>\n",
+ " <td id=\"T_bcc20_row34_col1\" class=\"data row34 col1\" >2.69</td>\n",
+ " <td id=\"T_bcc20_row34_col2\" class=\"data row34 col2\" >1.46</td>\n",
+ " <td id=\"T_bcc20_row34_col3\" class=\"data row34 col3\" >0.21</td>\n",
+ " <td id=\"T_bcc20_row34_col4\" class=\"data row34 col4\" >8.51</td>\n",
+ " <td id=\"T_bcc20_row34_col5\" class=\"data row34 col5\" >3.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_bcc20_row35_col0\" class=\"data row35 col0\" >16.35</td>\n",
+ " <td id=\"T_bcc20_row35_col1\" class=\"data row35 col1\" >2.45</td>\n",
+ " <td id=\"T_bcc20_row35_col2\" class=\"data row35 col2\" >1.02</td>\n",
+ " <td id=\"T_bcc20_row35_col3\" class=\"data row35 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row35_col4\" class=\"data row35 col4\" >50.89</td>\n",
+ " <td id=\"T_bcc20_row35_col5\" class=\"data row35 col5\" >7.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_bcc20_row36_col0\" class=\"data row36 col0\" >14.70</td>\n",
+ " <td id=\"T_bcc20_row36_col1\" class=\"data row36 col1\" >2.38</td>\n",
+ " <td id=\"T_bcc20_row36_col2\" class=\"data row36 col2\" >0.94</td>\n",
+ " <td id=\"T_bcc20_row36_col3\" class=\"data row36 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row36_col4\" class=\"data row36 col4\" >55.14</td>\n",
+ " <td id=\"T_bcc20_row36_col5\" class=\"data row36 col5\" >6.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_bcc20_row37_col0\" class=\"data row37 col0\" >12.74</td>\n",
+ " <td id=\"T_bcc20_row37_col1\" class=\"data row37 col1\" >2.68</td>\n",
+ " <td id=\"T_bcc20_row37_col2\" class=\"data row37 col2\" >1.20</td>\n",
+ " <td id=\"T_bcc20_row37_col3\" class=\"data row37 col3\" >0.25</td>\n",
+ " <td id=\"T_bcc20_row37_col4\" class=\"data row37 col4\" >19.41</td>\n",
+ " <td id=\"T_bcc20_row37_col5\" class=\"data row37 col5\" >6.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_bcc20_row38_col0\" class=\"data row38 col0\" >11.37</td>\n",
+ " <td id=\"T_bcc20_row38_col1\" class=\"data row38 col1\" >2.17</td>\n",
+ " <td id=\"T_bcc20_row38_col2\" class=\"data row38 col2\" >0.87</td>\n",
+ " <td id=\"T_bcc20_row38_col3\" class=\"data row38 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row38_col4\" class=\"data row38 col4\" >55.83</td>\n",
+ " <td id=\"T_bcc20_row38_col5\" class=\"data row38 col5\" >6.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_bcc20_row39_col0\" class=\"data row39 col0\" >26.02</td>\n",
+ " <td id=\"T_bcc20_row39_col1\" class=\"data row39 col1\" >3.02</td>\n",
+ " <td id=\"T_bcc20_row39_col2\" class=\"data row39 col2\" >1.62</td>\n",
+ " <td id=\"T_bcc20_row39_col3\" class=\"data row39 col3\" >0.19</td>\n",
+ " <td id=\"T_bcc20_row39_col4\" class=\"data row39 col4\" >12.09</td>\n",
+ " <td id=\"T_bcc20_row39_col5\" class=\"data row39 col5\" >4.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_bcc20_row40_col0\" class=\"data row40 col0\" >14.80</td>\n",
+ " <td id=\"T_bcc20_row40_col1\" class=\"data row40 col1\" >2.64</td>\n",
+ " <td id=\"T_bcc20_row40_col2\" class=\"data row40 col2\" >0.95</td>\n",
+ " <td id=\"T_bcc20_row40_col3\" class=\"data row40 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row40_col4\" class=\"data row40 col4\" >54.64</td>\n",
+ " <td id=\"T_bcc20_row40_col5\" class=\"data row40 col5\" >6.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_bcc20_row41_col0\" class=\"data row41 col0\" >9.60</td>\n",
+ " <td id=\"T_bcc20_row41_col1\" class=\"data row41 col1\" >2.23</td>\n",
+ " <td id=\"T_bcc20_row41_col2\" class=\"data row41 col2\" >0.91</td>\n",
+ " <td id=\"T_bcc20_row41_col3\" class=\"data row41 col3\" >0.21</td>\n",
+ " <td id=\"T_bcc20_row41_col4\" class=\"data row41 col4\" >57.90</td>\n",
+ " <td id=\"T_bcc20_row41_col5\" class=\"data row41 col5\" >9.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_bcc20_row42_col0\" class=\"data row42 col0\" >10.41</td>\n",
+ " <td id=\"T_bcc20_row42_col1\" class=\"data row42 col1\" >2.59</td>\n",
+ " <td id=\"T_bcc20_row42_col2\" class=\"data row42 col2\" >0.80</td>\n",
+ " <td id=\"T_bcc20_row42_col3\" class=\"data row42 col3\" >0.20</td>\n",
+ " <td id=\"T_bcc20_row42_col4\" class=\"data row42 col4\" >13.53</td>\n",
+ " <td id=\"T_bcc20_row42_col5\" class=\"data row42 col5\" >4.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_bcc20_row43_col0\" class=\"data row43 col0\" >13.73</td>\n",
+ " <td id=\"T_bcc20_row43_col1\" class=\"data row43 col1\" >3.03</td>\n",
+ " <td id=\"T_bcc20_row43_col2\" class=\"data row43 col2\" >0.86</td>\n",
+ " <td id=\"T_bcc20_row43_col3\" class=\"data row43 col3\" >0.19</td>\n",
+ " <td id=\"T_bcc20_row43_col4\" class=\"data row43 col4\" >21.67</td>\n",
+ " <td id=\"T_bcc20_row43_col5\" class=\"data row43 col5\" >6.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_bcc20_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_bcc20_row44_col0\" class=\"data row44 col0\" >11.61</td>\n",
+ " <td id=\"T_bcc20_row44_col1\" class=\"data row44 col1\" >2.63</td>\n",
+ " <td id=\"T_bcc20_row44_col2\" class=\"data row44 col2\" >0.74</td>\n",
+ " <td id=\"T_bcc20_row44_col3\" class=\"data row44 col3\" >0.17</td>\n",
+ " <td id=\"T_bcc20_row44_col4\" class=\"data row44 col4\" >29.16</td>\n",
+ " <td id=\"T_bcc20_row44_col5\" class=\"data row44 col5\" >5.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_bcc20_row45_col0\" class=\"data row45 col0\" >5.70</td>\n",
+ " <td id=\"T_bcc20_row45_col1\" class=\"data row45 col1\" >1.87</td>\n",
+ " <td id=\"T_bcc20_row45_col2\" class=\"data row45 col2\" >0.54</td>\n",
+ " <td id=\"T_bcc20_row45_col3\" class=\"data row45 col3\" >0.18</td>\n",
+ " <td id=\"T_bcc20_row45_col4\" class=\"data row45 col4\" >31.51</td>\n",
+ " <td id=\"T_bcc20_row45_col5\" class=\"data row45 col5\" >7.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_bcc20_row46_col0\" class=\"data row46 col0\" >8.06</td>\n",
+ " <td id=\"T_bcc20_row46_col1\" class=\"data row46 col1\" >1.74</td>\n",
+ " <td id=\"T_bcc20_row46_col2\" class=\"data row46 col2\" >0.62</td>\n",
+ " <td id=\"T_bcc20_row46_col3\" class=\"data row46 col3\" >0.13</td>\n",
+ " <td id=\"T_bcc20_row46_col4\" class=\"data row46 col4\" >16.40</td>\n",
+ " <td id=\"T_bcc20_row46_col5\" class=\"data row46 col5\" >4.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_bcc20_row47_col0\" class=\"data row47 col0\" >12.31</td>\n",
+ " <td id=\"T_bcc20_row47_col1\" class=\"data row47 col1\" >2.24</td>\n",
+ " <td id=\"T_bcc20_row47_col2\" class=\"data row47 col2\" >0.77</td>\n",
+ " <td id=\"T_bcc20_row47_col3\" class=\"data row47 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row47_col4\" class=\"data row47 col4\" >60.07</td>\n",
+ " <td id=\"T_bcc20_row47_col5\" class=\"data row47 col5\" >8.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_bcc20_row48_col0\" class=\"data row48 col0\" >11.26</td>\n",
+ " <td id=\"T_bcc20_row48_col1\" class=\"data row48 col1\" >2.30</td>\n",
+ " <td id=\"T_bcc20_row48_col2\" class=\"data row48 col2\" >0.72</td>\n",
+ " <td id=\"T_bcc20_row48_col3\" class=\"data row48 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row48_col4\" class=\"data row48 col4\" >27.64</td>\n",
+ " <td id=\"T_bcc20_row48_col5\" class=\"data row48 col5\" >6.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_bcc20_row49_col0\" class=\"data row49 col0\" >5.90</td>\n",
+ " <td id=\"T_bcc20_row49_col1\" class=\"data row49 col1\" >1.90</td>\n",
+ " <td id=\"T_bcc20_row49_col2\" class=\"data row49 col2\" >0.56</td>\n",
+ " <td id=\"T_bcc20_row49_col3\" class=\"data row49 col3\" >0.18</td>\n",
+ " <td id=\"T_bcc20_row49_col4\" class=\"data row49 col4\" >30.28</td>\n",
+ " <td id=\"T_bcc20_row49_col5\" class=\"data row49 col5\" >7.56</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_bcc20_row50_col0\" class=\"data row50 col0\" >6.73</td>\n",
+ " <td id=\"T_bcc20_row50_col1\" class=\"data row50 col1\" >1.71</td>\n",
+ " <td id=\"T_bcc20_row50_col2\" class=\"data row50 col2\" >0.52</td>\n",
+ " <td id=\"T_bcc20_row50_col3\" class=\"data row50 col3\" >0.13</td>\n",
+ " <td id=\"T_bcc20_row50_col4\" class=\"data row50 col4\" >69.20</td>\n",
+ " <td id=\"T_bcc20_row50_col5\" class=\"data row50 col5\" >7.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_bcc20_row51_col0\" class=\"data row51 col0\" >14.11</td>\n",
+ " <td id=\"T_bcc20_row51_col1\" class=\"data row51 col1\" >2.17</td>\n",
+ " <td id=\"T_bcc20_row51_col2\" class=\"data row51 col2\" >0.88</td>\n",
+ " <td id=\"T_bcc20_row51_col3\" class=\"data row51 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row51_col4\" class=\"data row51 col4\" >18.94</td>\n",
+ " <td id=\"T_bcc20_row51_col5\" class=\"data row51 col5\" >5.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_bcc20_row52_col0\" class=\"data row52 col0\" >9.53</td>\n",
+ " <td id=\"T_bcc20_row52_col1\" class=\"data row52 col1\" >2.36</td>\n",
+ " <td id=\"T_bcc20_row52_col2\" class=\"data row52 col2\" >0.61</td>\n",
+ " <td id=\"T_bcc20_row52_col3\" class=\"data row52 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row52_col4\" class=\"data row52 col4\" >30.73</td>\n",
+ " <td id=\"T_bcc20_row52_col5\" class=\"data row52 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_bcc20_row53_col0\" class=\"data row53 col0\" >6.42</td>\n",
+ " <td id=\"T_bcc20_row53_col1\" class=\"data row53 col1\" >2.14</td>\n",
+ " <td id=\"T_bcc20_row53_col2\" class=\"data row53 col2\" >0.61</td>\n",
+ " <td id=\"T_bcc20_row53_col3\" class=\"data row53 col3\" >0.20</td>\n",
+ " <td id=\"T_bcc20_row53_col4\" class=\"data row53 col4\" >69.43</td>\n",
+ " <td id=\"T_bcc20_row53_col5\" class=\"data row53 col5\" >9.54</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_bcc20_row54_col0\" class=\"data row54 col0\" >4.21</td>\n",
+ " <td id=\"T_bcc20_row54_col1\" class=\"data row54 col1\" >1.47</td>\n",
+ " <td id=\"T_bcc20_row54_col2\" class=\"data row54 col2\" >0.32</td>\n",
+ " <td id=\"T_bcc20_row54_col3\" class=\"data row54 col3\" >0.11</td>\n",
+ " <td id=\"T_bcc20_row54_col4\" class=\"data row54 col4\" >21.82</td>\n",
+ " <td id=\"T_bcc20_row54_col5\" class=\"data row54 col5\" >4.81</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_bcc20_row55_col0\" class=\"data row55 col0\" >7.42</td>\n",
+ " <td id=\"T_bcc20_row55_col1\" class=\"data row55 col1\" >2.21</td>\n",
+ " <td id=\"T_bcc20_row55_col2\" class=\"data row55 col2\" >0.46</td>\n",
+ " <td id=\"T_bcc20_row55_col3\" class=\"data row55 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row55_col4\" class=\"data row55 col4\" >28.33</td>\n",
+ " <td id=\"T_bcc20_row55_col5\" class=\"data row55 col5\" >6.43</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_bcc20_row56_col0\" class=\"data row56 col0\" >12.16</td>\n",
+ " <td id=\"T_bcc20_row56_col1\" class=\"data row56 col1\" >2.54</td>\n",
+ " <td id=\"T_bcc20_row56_col2\" class=\"data row56 col2\" >0.78</td>\n",
+ " <td id=\"T_bcc20_row56_col3\" class=\"data row56 col3\" >0.16</td>\n",
+ " <td id=\"T_bcc20_row56_col4\" class=\"data row56 col4\" >61.63</td>\n",
+ " <td id=\"T_bcc20_row56_col5\" class=\"data row56 col5\" >7.49</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_bcc20_row57_col0\" class=\"data row57 col0\" >6.69</td>\n",
+ " <td id=\"T_bcc20_row57_col1\" class=\"data row57 col1\" >2.18</td>\n",
+ " <td id=\"T_bcc20_row57_col2\" class=\"data row57 col2\" >0.63</td>\n",
+ " <td id=\"T_bcc20_row57_col3\" class=\"data row57 col3\" >0.21</td>\n",
+ " <td id=\"T_bcc20_row57_col4\" class=\"data row57 col4\" >30.97</td>\n",
+ " <td id=\"T_bcc20_row57_col5\" class=\"data row57 col5\" >7.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_bcc20_row58_col0\" class=\"data row58 col0\" >5.77</td>\n",
+ " <td id=\"T_bcc20_row58_col1\" class=\"data row58 col1\" >1.76</td>\n",
+ " <td id=\"T_bcc20_row58_col2\" class=\"data row58 col2\" >0.44</td>\n",
+ " <td id=\"T_bcc20_row58_col3\" class=\"data row58 col3\" >0.14</td>\n",
+ " <td id=\"T_bcc20_row58_col4\" class=\"data row58 col4\" >20.19</td>\n",
+ " <td id=\"T_bcc20_row58_col5\" class=\"data row58 col5\" >4.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_bcc20_row59_col0\" class=\"data row59 col0\" >9.71</td>\n",
+ " <td id=\"T_bcc20_row59_col1\" class=\"data row59 col1\" >2.35</td>\n",
+ " <td id=\"T_bcc20_row59_col2\" class=\"data row59 col2\" >0.60</td>\n",
+ " <td id=\"T_bcc20_row59_col3\" class=\"data row59 col3\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row59_col4\" class=\"data row59 col4\" >25.31</td>\n",
+ " <td id=\"T_bcc20_row59_col5\" class=\"data row59 col5\" >6.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_bcc20_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_bcc20_row60_col0\" class=\"data row60 col0\" >6.39</td>\n",
+ " <td id=\"T_bcc20_row60_col1\" class=\"data row60 col1\" >1.85</td>\n",
+ " <td id=\"T_bcc20_row60_col2\" class=\"data row60 col2\" >0.41</td>\n",
+ " <td id=\"T_bcc20_row60_col3\" class=\"data row60 col3\" >0.12</td>\n",
+ " <td id=\"T_bcc20_row60_col4\" class=\"data row60 col4\" >37.41</td>\n",
+ " <td id=\"T_bcc20_row60_col5\" class=\"data row60 col5\" >5.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_bcc20_row61_col0\" class=\"data row61 col0\" >2.97</td>\n",
+ " <td id=\"T_bcc20_row61_col1\" class=\"data row61 col1\" >1.31</td>\n",
+ " <td id=\"T_bcc20_row61_col2\" class=\"data row61 col2\" >0.28</td>\n",
+ " <td id=\"T_bcc20_row61_col3\" class=\"data row61 col3\" >0.12</td>\n",
+ " <td id=\"T_bcc20_row61_col4\" class=\"data row61 col4\" >40.70</td>\n",
+ " <td id=\"T_bcc20_row61_col5\" class=\"data row61 col5\" >8.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_bcc20_row62_col0\" class=\"data row62 col0\" >1.96</td>\n",
+ " <td id=\"T_bcc20_row62_col1\" class=\"data row62 col1\" >0.97</td>\n",
+ " <td id=\"T_bcc20_row62_col2\" class=\"data row62 col2\" >0.15</td>\n",
+ " <td id=\"T_bcc20_row62_col3\" class=\"data row62 col3\" >0.07</td>\n",
+ " <td id=\"T_bcc20_row62_col4\" class=\"data row62 col4\" >29.38</td>\n",
+ " <td id=\"T_bcc20_row62_col5\" class=\"data row62 col5\" >5.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_bcc20_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_bcc20_row63_col0\" class=\"data row63 col0\" >5.56</td>\n",
+ " <td id=\"T_bcc20_row63_col1\" class=\"data row63 col1\" >1.98</td>\n",
+ " <td id=\"T_bcc20_row63_col2\" class=\"data row63 col2\" >0.35</td>\n",
+ " <td id=\"T_bcc20_row63_col3\" class=\"data row63 col3\" >0.12</td>\n",
+ " <td id=\"T_bcc20_row63_col4\" class=\"data row63 col4\" >32.17</td>\n",
+ " <td id=\"T_bcc20_row63_col5\" class=\"data row63 col5\" >7.01</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfc40510>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_f79e6 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_f79e6 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_f79e6_row0_col0, #T_f79e6_row0_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row0_col4, #T_f79e6_row15_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row1_col0, #T_f79e6_row1_col2, #T_f79e6_row2_col0, #T_f79e6_row2_col2 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row1_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row2_col4 {\n",
+ " background-color: #fd3131;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row3_col0, #T_f79e6_row3_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row3_col4 {\n",
+ " background-color: #fe0a0a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row4_col0, #T_f79e6_row4_col2 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row4_col4 {\n",
+ " background-color: #fe1111;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row5_col0, #T_f79e6_row5_col2 {\n",
+ " background-color: #75fb75;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row5_col4 {\n",
+ " background-color: #fd2d2d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row6_col0, #T_f79e6_row6_col2 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row6_col4 {\n",
+ " background-color: #fd2a2a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row7_col0, #T_f79e6_row7_col2 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row7_col4 {\n",
+ " background-color: #fd1e1e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row8_col0, #T_f79e6_row8_col2 {\n",
+ " background-color: #76fb76;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row8_col4 {\n",
+ " background-color: #fd2222;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row9_col0, #T_f79e6_row9_col2 {\n",
+ " background-color: #71fb71;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row9_col4 {\n",
+ " background-color: #fc3636;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row10_col0, #T_f79e6_row10_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row10_col4 {\n",
+ " background-color: #fd2e2e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row11_col0, #T_f79e6_row11_col2 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row11_col4 {\n",
+ " background-color: #fa6b6b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row12_col0, #T_f79e6_row12_col2 {\n",
+ " background-color: #b5f6b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row12_col4 {\n",
+ " background-color: #f88484;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row13_col0, #T_f79e6_row13_col2 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row13_col4 {\n",
+ " background-color: #f88c8c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row14_col0, #T_f79e6_row14_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_f79e6_row14_col4 {\n",
+ " background-color: #f97c7c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_f79e6_row15_col0, #T_f79e6_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_f79e6\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_f79e6_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_f79e6_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_f79e6_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_f79e6_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_f79e6_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_f79e6_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_f79e6_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_f79e6_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_f79e6_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_f79e6_row0_col0\" class=\"data row0 col0\" >88.94</td>\n",
+ " <td id=\"T_f79e6_row0_col1\" class=\"data row0 col1\" >3.34</td>\n",
+ " <td id=\"T_f79e6_row0_col2\" class=\"data row0 col2\" >1.61</td>\n",
+ " <td id=\"T_f79e6_row0_col3\" class=\"data row0 col3\" >0.06</td>\n",
+ " <td id=\"T_f79e6_row0_col4\" class=\"data row0 col4\" >34.63</td>\n",
+ " <td id=\"T_f79e6_row0_col5\" class=\"data row0 col5\" >3.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_f79e6_row1_col0\" class=\"data row1 col0\" >84.38</td>\n",
+ " <td id=\"T_f79e6_row1_col1\" class=\"data row1 col1\" >3.00</td>\n",
+ " <td id=\"T_f79e6_row1_col2\" class=\"data row1 col2\" >1.53</td>\n",
+ " <td id=\"T_f79e6_row1_col3\" class=\"data row1 col3\" >0.05</td>\n",
+ " <td id=\"T_f79e6_row1_col4\" class=\"data row1 col4\" >36.35</td>\n",
+ " <td id=\"T_f79e6_row1_col5\" class=\"data row1 col5\" >3.19</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_f79e6_row2_col0\" class=\"data row2 col0\" >84.39</td>\n",
+ " <td id=\"T_f79e6_row2_col1\" class=\"data row2 col1\" >3.19</td>\n",
+ " <td id=\"T_f79e6_row2_col2\" class=\"data row2 col2\" >1.53</td>\n",
+ " <td id=\"T_f79e6_row2_col3\" class=\"data row2 col3\" >0.06</td>\n",
+ " <td id=\"T_f79e6_row2_col4\" class=\"data row2 col4\" >36.00</td>\n",
+ " <td id=\"T_f79e6_row2_col5\" class=\"data row2 col5\" >3.37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_f79e6_row3_col0\" class=\"data row3 col0\" >83.33</td>\n",
+ " <td id=\"T_f79e6_row3_col1\" class=\"data row3 col1\" >2.95</td>\n",
+ " <td id=\"T_f79e6_row3_col2\" class=\"data row3 col2\" >1.51</td>\n",
+ " <td id=\"T_f79e6_row3_col3\" class=\"data row3 col3\" >0.05</td>\n",
+ " <td id=\"T_f79e6_row3_col4\" class=\"data row3 col4\" >36.27</td>\n",
+ " <td id=\"T_f79e6_row3_col5\" class=\"data row3 col5\" >3.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_f79e6_row4_col0\" class=\"data row4 col0\" >84.13</td>\n",
+ " <td id=\"T_f79e6_row4_col1\" class=\"data row4 col1\" >3.48</td>\n",
+ " <td id=\"T_f79e6_row4_col2\" class=\"data row4 col2\" >1.52</td>\n",
+ " <td id=\"T_f79e6_row4_col3\" class=\"data row4 col3\" >0.06</td>\n",
+ " <td id=\"T_f79e6_row4_col4\" class=\"data row4 col4\" >36.22</td>\n",
+ " <td id=\"T_f79e6_row4_col5\" class=\"data row4 col5\" >3.44</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_f79e6_row5_col0\" class=\"data row5 col0\" >63.20</td>\n",
+ " <td id=\"T_f79e6_row5_col1\" class=\"data row5 col1\" >3.87</td>\n",
+ " <td id=\"T_f79e6_row5_col2\" class=\"data row5 col2\" >1.14</td>\n",
+ " <td id=\"T_f79e6_row5_col3\" class=\"data row5 col3\" >0.07</td>\n",
+ " <td id=\"T_f79e6_row5_col4\" class=\"data row5 col4\" >36.02</td>\n",
+ " <td id=\"T_f79e6_row5_col5\" class=\"data row5 col5\" >3.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_f79e6_row6_col0\" class=\"data row6 col0\" >53.64</td>\n",
+ " <td id=\"T_f79e6_row6_col1\" class=\"data row6 col1\" >4.45</td>\n",
+ " <td id=\"T_f79e6_row6_col2\" class=\"data row6 col2\" >0.97</td>\n",
+ " <td id=\"T_f79e6_row6_col3\" class=\"data row6 col3\" >0.08</td>\n",
+ " <td id=\"T_f79e6_row6_col4\" class=\"data row6 col4\" >36.04</td>\n",
+ " <td id=\"T_f79e6_row6_col5\" class=\"data row6 col5\" >3.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_f79e6_row7_col0\" class=\"data row7 col0\" >54.61</td>\n",
+ " <td id=\"T_f79e6_row7_col1\" class=\"data row7 col1\" >4.74</td>\n",
+ " <td id=\"T_f79e6_row7_col2\" class=\"data row7 col2\" >0.99</td>\n",
+ " <td id=\"T_f79e6_row7_col3\" class=\"data row7 col3\" >0.09</td>\n",
+ " <td id=\"T_f79e6_row7_col4\" class=\"data row7 col4\" >36.13</td>\n",
+ " <td id=\"T_f79e6_row7_col5\" class=\"data row7 col5\" >3.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_f79e6_row8_col0\" class=\"data row8 col0\" >62.85</td>\n",
+ " <td id=\"T_f79e6_row8_col1\" class=\"data row8 col1\" >3.35</td>\n",
+ " <td id=\"T_f79e6_row8_col2\" class=\"data row8 col2\" >1.14</td>\n",
+ " <td id=\"T_f79e6_row8_col3\" class=\"data row8 col3\" >0.06</td>\n",
+ " <td id=\"T_f79e6_row8_col4\" class=\"data row8 col4\" >36.10</td>\n",
+ " <td id=\"T_f79e6_row8_col5\" class=\"data row8 col5\" >3.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_f79e6_row9_col0\" class=\"data row9 col0\" >64.84</td>\n",
+ " <td id=\"T_f79e6_row9_col1\" class=\"data row9 col1\" >3.67</td>\n",
+ " <td id=\"T_f79e6_row9_col2\" class=\"data row9 col2\" >1.17</td>\n",
+ " <td id=\"T_f79e6_row9_col3\" class=\"data row9 col3\" >0.07</td>\n",
+ " <td id=\"T_f79e6_row9_col4\" class=\"data row9 col4\" >35.96</td>\n",
+ " <td id=\"T_f79e6_row9_col5\" class=\"data row9 col5\" >3.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_f79e6_row10_col0\" class=\"data row10 col0\" >48.54</td>\n",
+ " <td id=\"T_f79e6_row10_col1\" class=\"data row10 col1\" >4.17</td>\n",
+ " <td id=\"T_f79e6_row10_col2\" class=\"data row10 col2\" >0.88</td>\n",
+ " <td id=\"T_f79e6_row10_col3\" class=\"data row10 col3\" >0.08</td>\n",
+ " <td id=\"T_f79e6_row10_col4\" class=\"data row10 col4\" >36.01</td>\n",
+ " <td id=\"T_f79e6_row10_col5\" class=\"data row10 col5\" >3.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_f79e6_row11_col0\" class=\"data row11 col0\" >37.68</td>\n",
+ " <td id=\"T_f79e6_row11_col1\" class=\"data row11 col1\" >3.96</td>\n",
+ " <td id=\"T_f79e6_row11_col2\" class=\"data row11 col2\" >0.68</td>\n",
+ " <td id=\"T_f79e6_row11_col3\" class=\"data row11 col3\" >0.07</td>\n",
+ " <td id=\"T_f79e6_row11_col4\" class=\"data row11 col4\" >35.58</td>\n",
+ " <td id=\"T_f79e6_row11_col5\" class=\"data row11 col5\" >3.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_f79e6_row12_col0\" class=\"data row12 col0\" >38.01</td>\n",
+ " <td id=\"T_f79e6_row12_col1\" class=\"data row12 col1\" >3.70</td>\n",
+ " <td id=\"T_f79e6_row12_col2\" class=\"data row12 col2\" >0.69</td>\n",
+ " <td id=\"T_f79e6_row12_col3\" class=\"data row12 col3\" >0.07</td>\n",
+ " <td id=\"T_f79e6_row12_col4\" class=\"data row12 col4\" >35.41</td>\n",
+ " <td id=\"T_f79e6_row12_col5\" class=\"data row12 col5\" >3.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_f79e6_row13_col0\" class=\"data row13 col0\" >27.59</td>\n",
+ " <td id=\"T_f79e6_row13_col1\" class=\"data row13 col1\" >3.80</td>\n",
+ " <td id=\"T_f79e6_row13_col2\" class=\"data row13 col2\" >0.50</td>\n",
+ " <td id=\"T_f79e6_row13_col3\" class=\"data row13 col3\" >0.07</td>\n",
+ " <td id=\"T_f79e6_row13_col4\" class=\"data row13 col4\" >35.35</td>\n",
+ " <td id=\"T_f79e6_row13_col5\" class=\"data row13 col5\" >3.34</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_f79e6_row14_col0\" class=\"data row14 col0\" >34.33</td>\n",
+ " <td id=\"T_f79e6_row14_col1\" class=\"data row14 col1\" >3.88</td>\n",
+ " <td id=\"T_f79e6_row14_col2\" class=\"data row14 col2\" >0.62</td>\n",
+ " <td id=\"T_f79e6_row14_col3\" class=\"data row14 col3\" >0.07</td>\n",
+ " <td id=\"T_f79e6_row14_col4\" class=\"data row14 col4\" >35.46</td>\n",
+ " <td id=\"T_f79e6_row14_col5\" class=\"data row14 col5\" >3.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_f79e6_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_f79e6_row15_col0\" class=\"data row15 col0\" >16.88</td>\n",
+ " <td id=\"T_f79e6_row15_col1\" class=\"data row15 col1\" >2.48</td>\n",
+ " <td id=\"T_f79e6_row15_col2\" class=\"data row15 col2\" >0.31</td>\n",
+ " <td id=\"T_f79e6_row15_col3\" class=\"data row15 col3\" >0.04</td>\n",
+ " <td id=\"T_f79e6_row15_col4\" class=\"data row15 col4\" >34.63</td>\n",
+ " <td id=\"T_f79e6_row15_col5\" class=\"data row15 col5\" >3.14</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfd9de50>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_money_and_energy(\"medium\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Small"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 2500x1500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.plot_graph(\"small\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_7c338 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7c338 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_7c338_row0_col0, #T_7c338_row11_col2, #T_7c338_row60_col0 {\n",
+ " background-color: #a3f8a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row0_col2, #T_7c338_row60_col2 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row1_col0, #T_7c338_row32_col2, #T_7c338_row61_col0 {\n",
+ " background-color: #c6f5c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row1_col2, #T_7c338_row61_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row2_col0, #T_7c338_row21_col0, #T_7c338_row62_col0 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row2_col2, #T_7c338_row33_col2, #T_7c338_row62_col2 {\n",
+ " background-color: #98f898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row3_col0, #T_7c338_row63_col0 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row3_col2, #T_7c338_row58_col0, #T_7c338_row63_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row4_col0 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row4_col2, #T_7c338_row14_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row5_col0, #T_7c338_row30_col2 {\n",
+ " background-color: #ddf4dd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row5_col2, #T_7c338_row38_col2, #T_7c338_row47_col2 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row6_col0 {\n",
+ " background-color: #cbf5cb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row6_col2, #T_7c338_row12_col2, #T_7c338_row57_col0 {\n",
+ " background-color: #b6f6b6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row7_col0, #T_7c338_row36_col2 {\n",
+ " background-color: #c5f5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row7_col2, #T_7c338_row8_col2 {\n",
+ " background-color: #aaf7aa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row8_col0 {\n",
+ " background-color: #bef6be;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row9_col0 {\n",
+ " background-color: #73fb73;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row9_col2, #T_7c338_row44_col2 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row10_col0, #T_7c338_row23_col2 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row10_col2, #T_7c338_row45_col2, #T_7c338_row49_col2 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row11_col0, #T_7c338_row45_col0 {\n",
+ " background-color: #baf6ba;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row12_col0, #T_7c338_row27_col2 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row13_col0, #T_7c338_row17_col0 {\n",
+ " background-color: #dcf4dc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row13_col2, #T_7c338_row18_col0, #T_7c338_row23_col0 {\n",
+ " background-color: #d3f5d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row14_col0 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row15_col0 {\n",
+ " background-color: #c9f5c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row15_col2, #T_7c338_row57_col2 {\n",
+ " background-color: #acf7ac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row16_col0, #T_7c338_row22_col2 {\n",
+ " background-color: #c7f5c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row16_col2 {\n",
+ " background-color: #b2f7b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row17_col2 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row18_col2, #T_7c338_row35_col2 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row19_col0, #T_7c338_row19_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row20_col0 {\n",
+ " background-color: #60fc60;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row20_col2 {\n",
+ " background-color: #5bfc5b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row21_col2, #T_7c338_row52_col0 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row22_col0, #T_7c338_row32_col0, #T_7c338_row35_col0, #T_7c338_row36_col0 {\n",
+ " background-color: #d6f4d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row24_col0, #T_7c338_row42_col0 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row24_col2, #T_7c338_row34_col0 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row25_col0, #T_7c338_row29_col0, #T_7c338_row50_col2 {\n",
+ " background-color: #e8f3e8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row25_col2 {\n",
+ " background-color: #e5f3e5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row26_col0, #T_7c338_row28_col0 {\n",
+ " background-color: #75fb75;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row26_col2, #T_7c338_row42_col2, #T_7c338_row51_col2 {\n",
+ " background-color: #66fc66;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row27_col0 {\n",
+ " background-color: #daf4da;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row28_col2, #T_7c338_row43_col2 {\n",
+ " background-color: #65fc65;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row29_col2, #T_7c338_row41_col0 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row30_col0 {\n",
+ " background-color: #e4f3e4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row31_col0 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row31_col2 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row33_col0 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row34_col2 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row37_col0 {\n",
+ " background-color: #9df89d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row37_col2 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row38_col0, #T_7c338_row41_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row39_col0 {\n",
+ " background-color: #59fd59;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row39_col2 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row40_col0, #T_7c338_row56_col2 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row40_col2 {\n",
+ " background-color: #cef5ce;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row43_col0, #T_7c338_row46_col2 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row44_col0, #T_7c338_row59_col0 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row46_col0 {\n",
+ " background-color: #87fa87;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row47_col0 {\n",
+ " background-color: #e1f4e1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row48_col0 {\n",
+ " background-color: #89f989;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row48_col2, #T_7c338_row58_col2 {\n",
+ " background-color: #7bfa7b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row49_col0 {\n",
+ " background-color: #bbf6bb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row50_col0 {\n",
+ " background-color: #e9f3e9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row51_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row52_col2 {\n",
+ " background-color: #82fa82;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row53_col0, #T_7c338_row53_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row54_col0 {\n",
+ " background-color: #99f899;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row54_col2 {\n",
+ " background-color: #8af98a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row55_col0 {\n",
+ " background-color: #91f991;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row55_col2 {\n",
+ " background-color: #81fa81;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row56_col0 {\n",
+ " background-color: #e0f4e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_7c338_row59_col2 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_7c338\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_7c338_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_7c338_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_7c338_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_7c338_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_7c338_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_7c338_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_7c338_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_7c338_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_7c338_row0_col0\" class=\"data row0 col0\" >27.32</td>\n",
+ " <td id=\"T_7c338_row0_col1\" class=\"data row0 col1\" >4.43</td>\n",
+ " <td id=\"T_7c338_row0_col2\" class=\"data row0 col2\" >26.51</td>\n",
+ " <td id=\"T_7c338_row0_col3\" class=\"data row0 col3\" >5.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_7c338_row1_col0\" class=\"data row1 col0\" >14.79</td>\n",
+ " <td id=\"T_7c338_row1_col1\" class=\"data row1 col1\" >3.46</td>\n",
+ " <td id=\"T_7c338_row1_col2\" class=\"data row1 col2\" >16.21</td>\n",
+ " <td id=\"T_7c338_row1_col3\" class=\"data row1 col3\" >4.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_7c338_row2_col0\" class=\"data row2 col0\" >27.69</td>\n",
+ " <td id=\"T_7c338_row2_col1\" class=\"data row2 col1\" >4.80</td>\n",
+ " <td id=\"T_7c338_row2_col2\" class=\"data row2 col2\" >26.25</td>\n",
+ " <td id=\"T_7c338_row2_col3\" class=\"data row2 col3\" >4.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_7c338_row3_col0\" class=\"data row3 col0\" >28.66</td>\n",
+ " <td id=\"T_7c338_row3_col1\" class=\"data row3 col1\" >4.29</td>\n",
+ " <td id=\"T_7c338_row3_col2\" class=\"data row3 col2\" >29.52</td>\n",
+ " <td id=\"T_7c338_row3_col3\" class=\"data row3 col3\" >5.24</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_7c338_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_7c338_row4_col0\" class=\"data row4 col0\" >64.08</td>\n",
+ " <td id=\"T_7c338_row4_col1\" class=\"data row4 col1\" >5.14</td>\n",
+ " <td id=\"T_7c338_row4_col2\" class=\"data row4 col2\" >49.75</td>\n",
+ " <td id=\"T_7c338_row4_col3\" class=\"data row4 col3\" >6.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_7c338_row5_col0\" class=\"data row5 col0\" >6.59</td>\n",
+ " <td id=\"T_7c338_row5_col1\" class=\"data row5 col1\" >2.62</td>\n",
+ " <td id=\"T_7c338_row5_col2\" class=\"data row5 col2\" >9.79</td>\n",
+ " <td id=\"T_7c338_row5_col3\" class=\"data row5 col3\" >3.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_7c338_row6_col0\" class=\"data row6 col0\" >12.94</td>\n",
+ " <td id=\"T_7c338_row6_col1\" class=\"data row6 col1\" >3.48</td>\n",
+ " <td id=\"T_7c338_row6_col2\" class=\"data row6 col2\" >17.90</td>\n",
+ " <td id=\"T_7c338_row6_col3\" class=\"data row6 col3\" >3.72</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_7c338_row7_col0\" class=\"data row7 col0\" >14.90</td>\n",
+ " <td id=\"T_7c338_row7_col1\" class=\"data row7 col1\" >3.81</td>\n",
+ " <td id=\"T_7c338_row7_col2\" class=\"data row7 col2\" >21.31</td>\n",
+ " <td id=\"T_7c338_row7_col3\" class=\"data row7 col3\" >4.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_7c338_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_7c338_row8_col0\" class=\"data row8 col0\" >17.62</td>\n",
+ " <td id=\"T_7c338_row8_col1\" class=\"data row8 col1\" >4.53</td>\n",
+ " <td id=\"T_7c338_row8_col2\" class=\"data row8 col2\" >21.34</td>\n",
+ " <td id=\"T_7c338_row8_col3\" class=\"data row8 col3\" >4.56</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_7c338_row9_col0\" class=\"data row9 col0\" >44.48</td>\n",
+ " <td id=\"T_7c338_row9_col1\" class=\"data row9 col1\" >4.93</td>\n",
+ " <td id=\"T_7c338_row9_col2\" class=\"data row9 col2\" >33.98</td>\n",
+ " <td id=\"T_7c338_row9_col3\" class=\"data row9 col3\" >5.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_7c338_row10_col0\" class=\"data row10 col0\" >17.16</td>\n",
+ " <td id=\"T_7c338_row10_col1\" class=\"data row10 col1\" >3.73</td>\n",
+ " <td id=\"T_7c338_row10_col2\" class=\"data row10 col2\" >20.15</td>\n",
+ " <td id=\"T_7c338_row10_col3\" class=\"data row10 col3\" >4.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_7c338_row11_col0\" class=\"data row11 col0\" >19.19</td>\n",
+ " <td id=\"T_7c338_row11_col1\" class=\"data row11 col1\" >3.87</td>\n",
+ " <td id=\"T_7c338_row11_col2\" class=\"data row11 col2\" >23.16</td>\n",
+ " <td id=\"T_7c338_row11_col3\" class=\"data row11 col3\" >4.49</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_7c338_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_7c338_row12_col0\" class=\"data row12 col0\" >13.25</td>\n",
+ " <td id=\"T_7c338_row12_col1\" class=\"data row12 col1\" >4.35</td>\n",
+ " <td id=\"T_7c338_row12_col2\" class=\"data row12 col2\" >17.86</td>\n",
+ " <td id=\"T_7c338_row12_col3\" class=\"data row12 col3\" >4.50</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_7c338_row13_col0\" class=\"data row13 col0\" >6.76</td>\n",
+ " <td id=\"T_7c338_row13_col1\" class=\"data row13 col1\" >3.16</td>\n",
+ " <td id=\"T_7c338_row13_col2\" class=\"data row13 col2\" >10.19</td>\n",
+ " <td id=\"T_7c338_row13_col3\" class=\"data row13 col3\" >3.60</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_7c338_row14_col0\" class=\"data row14 col0\" >64.78</td>\n",
+ " <td id=\"T_7c338_row14_col1\" class=\"data row14 col1\" >6.67</td>\n",
+ " <td id=\"T_7c338_row14_col2\" class=\"data row14 col2\" >49.91</td>\n",
+ " <td id=\"T_7c338_row14_col3\" class=\"data row14 col3\" >7.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_7c338_row15_col0\" class=\"data row15 col0\" >13.70</td>\n",
+ " <td id=\"T_7c338_row15_col1\" class=\"data row15 col1\" >4.13</td>\n",
+ " <td id=\"T_7c338_row15_col2\" class=\"data row15 col2\" >20.68</td>\n",
+ " <td id=\"T_7c338_row15_col3\" class=\"data row15 col3\" >5.25</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_7c338_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_7c338_row16_col0\" class=\"data row16 col0\" >14.51</td>\n",
+ " <td id=\"T_7c338_row16_col1\" class=\"data row16 col1\" >4.09</td>\n",
+ " <td id=\"T_7c338_row16_col2\" class=\"data row16 col2\" >19.23</td>\n",
+ " <td id=\"T_7c338_row16_col3\" class=\"data row16 col3\" >4.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_7c338_row17_col0\" class=\"data row17 col0\" >6.74</td>\n",
+ " <td id=\"T_7c338_row17_col1\" class=\"data row17 col1\" >3.01</td>\n",
+ " <td id=\"T_7c338_row17_col2\" class=\"data row17 col2\" >11.07</td>\n",
+ " <td id=\"T_7c338_row17_col3\" class=\"data row17 col3\" >3.82</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_7c338_row18_col0\" class=\"data row18 col0\" >10.04</td>\n",
+ " <td id=\"T_7c338_row18_col1\" class=\"data row18 col1\" >3.72</td>\n",
+ " <td id=\"T_7c338_row18_col2\" class=\"data row18 col2\" >14.72</td>\n",
+ " <td id=\"T_7c338_row18_col3\" class=\"data row18 col3\" >4.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_7c338_row19_col0\" class=\"data row19 col0\" >67.26</td>\n",
+ " <td id=\"T_7c338_row19_col1\" class=\"data row19 col1\" >6.07</td>\n",
+ " <td id=\"T_7c338_row19_col2\" class=\"data row19 col2\" >53.70</td>\n",
+ " <td id=\"T_7c338_row19_col3\" class=\"data row19 col3\" >6.36</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_7c338_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_7c338_row20_col0\" class=\"data row20 col0\" >51.52</td>\n",
+ " <td id=\"T_7c338_row20_col1\" class=\"data row20 col1\" >5.23</td>\n",
+ " <td id=\"T_7c338_row20_col2\" class=\"data row20 col2\" >42.86</td>\n",
+ " <td id=\"T_7c338_row20_col3\" class=\"data row20 col3\" >5.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_7c338_row21_col0\" class=\"data row21 col0\" >27.69</td>\n",
+ " <td id=\"T_7c338_row21_col1\" class=\"data row21 col1\" >4.18</td>\n",
+ " <td id=\"T_7c338_row21_col2\" class=\"data row21 col2\" >27.15</td>\n",
+ " <td id=\"T_7c338_row21_col3\" class=\"data row21 col3\" >4.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_7c338_row22_col0\" class=\"data row22 col0\" >9.07</td>\n",
+ " <td id=\"T_7c338_row22_col1\" class=\"data row22 col1\" >3.37</td>\n",
+ " <td id=\"T_7c338_row22_col2\" class=\"data row22 col2\" >13.44</td>\n",
+ " <td id=\"T_7c338_row22_col3\" class=\"data row22 col3\" >3.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_7c338_row23_col0\" class=\"data row23 col0\" >10.22</td>\n",
+ " <td id=\"T_7c338_row23_col1\" class=\"data row23 col1\" >3.09</td>\n",
+ " <td id=\"T_7c338_row23_col2\" class=\"data row23 col2\" >15.38</td>\n",
+ " <td id=\"T_7c338_row23_col3\" class=\"data row23 col3\" >3.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_7c338_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_7c338_row24_col0\" class=\"data row24 col0\" >44.30</td>\n",
+ " <td id=\"T_7c338_row24_col1\" class=\"data row24 col1\" >5.21</td>\n",
+ " <td id=\"T_7c338_row24_col2\" class=\"data row24 col2\" >40.60</td>\n",
+ " <td id=\"T_7c338_row24_col3\" class=\"data row24 col3\" >5.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_7c338_row25_col0\" class=\"data row25 col0\" >2.77</td>\n",
+ " <td id=\"T_7c338_row25_col1\" class=\"data row25 col1\" >2.23</td>\n",
+ " <td id=\"T_7c338_row25_col2\" class=\"data row25 col2\" >5.22</td>\n",
+ " <td id=\"T_7c338_row25_col3\" class=\"data row25 col3\" >2.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_7c338_row26_col0\" class=\"data row26 col0\" >43.79</td>\n",
+ " <td id=\"T_7c338_row26_col1\" class=\"data row26 col1\" >5.25</td>\n",
+ " <td id=\"T_7c338_row26_col2\" class=\"data row26 col2\" >39.96</td>\n",
+ " <td id=\"T_7c338_row26_col3\" class=\"data row26 col3\" >6.75</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_7c338_row27_col0\" class=\"data row27 col0\" >7.53</td>\n",
+ " <td id=\"T_7c338_row27_col1\" class=\"data row27 col1\" >3.33</td>\n",
+ " <td id=\"T_7c338_row27_col2\" class=\"data row27 col2\" >12.74</td>\n",
+ " <td id=\"T_7c338_row27_col3\" class=\"data row27 col3\" >4.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_7c338_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_7c338_row28_col0\" class=\"data row28 col0\" >43.83</td>\n",
+ " <td id=\"T_7c338_row28_col1\" class=\"data row28 col1\" >5.43</td>\n",
+ " <td id=\"T_7c338_row28_col2\" class=\"data row28 col2\" >40.27</td>\n",
+ " <td id=\"T_7c338_row28_col3\" class=\"data row28 col3\" >5.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_7c338_row29_col0\" class=\"data row29 col0\" >2.69</td>\n",
+ " <td id=\"T_7c338_row29_col1\" class=\"data row29 col1\" >2.18</td>\n",
+ " <td id=\"T_7c338_row29_col2\" class=\"data row29 col2\" >5.85</td>\n",
+ " <td id=\"T_7c338_row29_col3\" class=\"data row29 col3\" >3.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_7c338_row30_col0\" class=\"data row30 col0\" >4.01</td>\n",
+ " <td id=\"T_7c338_row30_col1\" class=\"data row30 col1\" >2.41</td>\n",
+ " <td id=\"T_7c338_row30_col2\" class=\"data row30 col2\" >7.45</td>\n",
+ " <td id=\"T_7c338_row30_col3\" class=\"data row30 col3\" >3.42</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_7c338_row31_col0\" class=\"data row31 col0\" >48.06</td>\n",
+ " <td id=\"T_7c338_row31_col1\" class=\"data row31 col1\" >5.33</td>\n",
+ " <td id=\"T_7c338_row31_col2\" class=\"data row31 col2\" >45.08</td>\n",
+ " <td id=\"T_7c338_row31_col3\" class=\"data row31 col3\" >6.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_7c338_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_7c338_row32_col0\" class=\"data row32 col0\" >9.18</td>\n",
+ " <td id=\"T_7c338_row32_col1\" class=\"data row32 col1\" >3.39</td>\n",
+ " <td id=\"T_7c338_row32_col2\" class=\"data row32 col2\" >13.56</td>\n",
+ " <td id=\"T_7c338_row32_col3\" class=\"data row32 col3\" >4.46</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_7c338_row33_col0\" class=\"data row33 col0\" >29.80</td>\n",
+ " <td id=\"T_7c338_row33_col1\" class=\"data row33 col1\" >4.78</td>\n",
+ " <td id=\"T_7c338_row33_col2\" class=\"data row33 col2\" >26.11</td>\n",
+ " <td id=\"T_7c338_row33_col3\" class=\"data row33 col3\" >4.89</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_7c338_row34_col0\" class=\"data row34 col0\" >50.49</td>\n",
+ " <td id=\"T_7c338_row34_col1\" class=\"data row34 col1\" >5.63</td>\n",
+ " <td id=\"T_7c338_row34_col2\" class=\"data row34 col2\" >44.17</td>\n",
+ " <td id=\"T_7c338_row34_col3\" class=\"data row34 col3\" >6.52</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_7c338_row35_col0\" class=\"data row35 col0\" >9.00</td>\n",
+ " <td id=\"T_7c338_row35_col1\" class=\"data row35 col1\" >3.61</td>\n",
+ " <td id=\"T_7c338_row35_col2\" class=\"data row35 col2\" >14.81</td>\n",
+ " <td id=\"T_7c338_row35_col3\" class=\"data row35 col3\" >4.37</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_7c338_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_7c338_row36_col0\" class=\"data row36 col0\" >9.21</td>\n",
+ " <td id=\"T_7c338_row36_col1\" class=\"data row36 col1\" >3.29</td>\n",
+ " <td id=\"T_7c338_row36_col2\" class=\"data row36 col2\" >13.96</td>\n",
+ " <td id=\"T_7c338_row36_col3\" class=\"data row36 col3\" >4.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_7c338_row37_col0\" class=\"data row37 col0\" >29.29</td>\n",
+ " <td id=\"T_7c338_row37_col1\" class=\"data row37 col1\" >4.74</td>\n",
+ " <td id=\"T_7c338_row37_col2\" class=\"data row37 col2\" >25.79</td>\n",
+ " <td id=\"T_7c338_row37_col3\" class=\"data row37 col3\" >4.82</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_7c338_row38_col0\" class=\"data row38 col0\" >6.14</td>\n",
+ " <td id=\"T_7c338_row38_col1\" class=\"data row38 col1\" >2.98</td>\n",
+ " <td id=\"T_7c338_row38_col2\" class=\"data row38 col2\" >9.70</td>\n",
+ " <td id=\"T_7c338_row38_col3\" class=\"data row38 col3\" >3.68</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_7c338_row39_col0\" class=\"data row39 col0\" >53.92</td>\n",
+ " <td id=\"T_7c338_row39_col1\" class=\"data row39 col1\" >4.96</td>\n",
+ " <td id=\"T_7c338_row39_col2\" class=\"data row39 col2\" >49.38</td>\n",
+ " <td id=\"T_7c338_row39_col3\" class=\"data row39 col3\" >6.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_7c338_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_7c338_row40_col0\" class=\"data row40 col0\" >7.83</td>\n",
+ " <td id=\"T_7c338_row40_col1\" class=\"data row40 col1\" >3.36</td>\n",
+ " <td id=\"T_7c338_row40_col2\" class=\"data row40 col2\" >11.54</td>\n",
+ " <td id=\"T_7c338_row40_col3\" class=\"data row40 col3\" >3.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_7c338_row41_col0\" class=\"data row41 col0\" >4.38</td>\n",
+ " <td id=\"T_7c338_row41_col1\" class=\"data row41 col1\" >2.67</td>\n",
+ " <td id=\"T_7c338_row41_col2\" class=\"data row41 col2\" >6.91</td>\n",
+ " <td id=\"T_7c338_row41_col3\" class=\"data row41 col3\" >3.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_7c338_row42_col0\" class=\"data row42 col0\" >44.36</td>\n",
+ " <td id=\"T_7c338_row42_col1\" class=\"data row42 col1\" >5.13</td>\n",
+ " <td id=\"T_7c338_row42_col2\" class=\"data row42 col2\" >39.90</td>\n",
+ " <td id=\"T_7c338_row42_col3\" class=\"data row42 col3\" >5.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_7c338_row43_col0\" class=\"data row43 col0\" >41.96</td>\n",
+ " <td id=\"T_7c338_row43_col1\" class=\"data row43 col1\" >5.87</td>\n",
+ " <td id=\"T_7c338_row43_col2\" class=\"data row43 col2\" >40.26</td>\n",
+ " <td id=\"T_7c338_row43_col3\" class=\"data row43 col3\" >4.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_7c338_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_7c338_row44_col0\" class=\"data row44 col0\" >36.86</td>\n",
+ " <td id=\"T_7c338_row44_col1\" class=\"data row44 col1\" >4.91</td>\n",
+ " <td id=\"T_7c338_row44_col2\" class=\"data row44 col2\" >33.84</td>\n",
+ " <td id=\"T_7c338_row44_col3\" class=\"data row44 col3\" >5.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_7c338_row45_col0\" class=\"data row45 col0\" >19.10</td>\n",
+ " <td id=\"T_7c338_row45_col1\" class=\"data row45 col1\" >4.62</td>\n",
+ " <td id=\"T_7c338_row45_col2\" class=\"data row45 col2\" >20.27</td>\n",
+ " <td id=\"T_7c338_row45_col3\" class=\"data row45 col3\" >4.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_7c338_row46_col0\" class=\"data row46 col0\" >37.31</td>\n",
+ " <td id=\"T_7c338_row46_col1\" class=\"data row46 col1\" >4.62</td>\n",
+ " <td id=\"T_7c338_row46_col2\" class=\"data row46 col2\" >34.41</td>\n",
+ " <td id=\"T_7c338_row46_col3\" class=\"data row46 col3\" >5.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_7c338_row47_col0\" class=\"data row47 col0\" >5.12</td>\n",
+ " <td id=\"T_7c338_row47_col1\" class=\"data row47 col1\" >2.83</td>\n",
+ " <td id=\"T_7c338_row47_col2\" class=\"data row47 col2\" >9.99</td>\n",
+ " <td id=\"T_7c338_row47_col3\" class=\"data row47 col3\" >3.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_7c338_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_7c338_row48_col0\" class=\"data row48 col0\" >36.70</td>\n",
+ " <td id=\"T_7c338_row48_col1\" class=\"data row48 col1\" >4.24</td>\n",
+ " <td id=\"T_7c338_row48_col2\" class=\"data row48 col2\" >34.19</td>\n",
+ " <td id=\"T_7c338_row48_col3\" class=\"data row48 col3\" >4.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_7c338_row49_col0\" class=\"data row49 col0\" >18.80</td>\n",
+ " <td id=\"T_7c338_row49_col1\" class=\"data row49 col1\" >4.56</td>\n",
+ " <td id=\"T_7c338_row49_col2\" class=\"data row49 col2\" >20.19</td>\n",
+ " <td id=\"T_7c338_row49_col3\" class=\"data row49 col3\" >3.79</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_7c338_row50_col0\" class=\"data row50 col0\" >2.29</td>\n",
+ " <td id=\"T_7c338_row50_col1\" class=\"data row50 col1\" >1.87</td>\n",
+ " <td id=\"T_7c338_row50_col2\" class=\"data row50 col2\" >4.46</td>\n",
+ " <td id=\"T_7c338_row50_col3\" class=\"data row50 col3\" >2.45</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_7c338_row51_col0\" class=\"data row51 col0\" >40.76</td>\n",
+ " <td id=\"T_7c338_row51_col1\" class=\"data row51 col1\" >4.61</td>\n",
+ " <td id=\"T_7c338_row51_col2\" class=\"data row51 col2\" >39.80</td>\n",
+ " <td id=\"T_7c338_row51_col3\" class=\"data row51 col3\" >5.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_7c338_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_7c338_row52_col0\" class=\"data row52 col0\" >32.44</td>\n",
+ " <td id=\"T_7c338_row52_col1\" class=\"data row52 col1\" >5.44</td>\n",
+ " <td id=\"T_7c338_row52_col2\" class=\"data row52 col2\" >32.17</td>\n",
+ " <td id=\"T_7c338_row52_col3\" class=\"data row52 col3\" >5.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_7c338_row53_col0\" class=\"data row53 col0\" >1.54</td>\n",
+ " <td id=\"T_7c338_row53_col1\" class=\"data row53 col1\" >1.76</td>\n",
+ " <td id=\"T_7c338_row53_col2\" class=\"data row53 col2\" >3.56</td>\n",
+ " <td id=\"T_7c338_row53_col3\" class=\"data row53 col3\" >2.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_7c338_row54_col0\" class=\"data row54 col0\" >30.86</td>\n",
+ " <td id=\"T_7c338_row54_col1\" class=\"data row54 col1\" >5.17</td>\n",
+ " <td id=\"T_7c338_row54_col2\" class=\"data row54 col2\" >30.12</td>\n",
+ " <td id=\"T_7c338_row54_col3\" class=\"data row54 col3\" >4.66</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_7c338_row55_col0\" class=\"data row55 col0\" >33.65</td>\n",
+ " <td id=\"T_7c338_row55_col1\" class=\"data row55 col1\" >4.43</td>\n",
+ " <td id=\"T_7c338_row55_col2\" class=\"data row55 col2\" >32.56</td>\n",
+ " <td id=\"T_7c338_row55_col3\" class=\"data row55 col3\" >4.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_7c338_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_7c338_row56_col0\" class=\"data row56 col0\" >5.54</td>\n",
+ " <td id=\"T_7c338_row56_col1\" class=\"data row56 col1\" >2.88</td>\n",
+ " <td id=\"T_7c338_row56_col2\" class=\"data row56 col2\" >8.47</td>\n",
+ " <td id=\"T_7c338_row56_col3\" class=\"data row56 col3\" >3.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_7c338_row57_col0\" class=\"data row57 col0\" >20.57</td>\n",
+ " <td id=\"T_7c338_row57_col1\" class=\"data row57 col1\" >4.34</td>\n",
+ " <td id=\"T_7c338_row57_col2\" class=\"data row57 col2\" >20.85</td>\n",
+ " <td id=\"T_7c338_row57_col3\" class=\"data row57 col3\" >4.56</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_7c338_row58_col0\" class=\"data row58 col0\" >35.54</td>\n",
+ " <td id=\"T_7c338_row58_col1\" class=\"data row58 col1\" >5.10</td>\n",
+ " <td id=\"T_7c338_row58_col2\" class=\"data row58 col2\" >34.19</td>\n",
+ " <td id=\"T_7c338_row58_col3\" class=\"data row58 col3\" >5.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_7c338_row59_col0\" class=\"data row59 col0\" >36.85</td>\n",
+ " <td id=\"T_7c338_row59_col1\" class=\"data row59 col1\" >5.12</td>\n",
+ " <td id=\"T_7c338_row59_col2\" class=\"data row59 col2\" >35.23</td>\n",
+ " <td id=\"T_7c338_row59_col3\" class=\"data row59 col3\" >5.55</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_7c338_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_7c338_row60_col0\" class=\"data row60 col0\" >27.32</td>\n",
+ " <td id=\"T_7c338_row60_col1\" class=\"data row60 col1\" >4.43</td>\n",
+ " <td id=\"T_7c338_row60_col2\" class=\"data row60 col2\" >26.51</td>\n",
+ " <td id=\"T_7c338_row60_col3\" class=\"data row60 col3\" >5.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_7c338_row61_col0\" class=\"data row61 col0\" >14.79</td>\n",
+ " <td id=\"T_7c338_row61_col1\" class=\"data row61 col1\" >3.46</td>\n",
+ " <td id=\"T_7c338_row61_col2\" class=\"data row61 col2\" >16.21</td>\n",
+ " <td id=\"T_7c338_row61_col3\" class=\"data row61 col3\" >4.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_7c338_row62_col0\" class=\"data row62 col0\" >27.69</td>\n",
+ " <td id=\"T_7c338_row62_col1\" class=\"data row62 col1\" >4.80</td>\n",
+ " <td id=\"T_7c338_row62_col2\" class=\"data row62 col2\" >26.25</td>\n",
+ " <td id=\"T_7c338_row62_col3\" class=\"data row62 col3\" >4.27</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_7c338_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_7c338_row63_col0\" class=\"data row63 col0\" >28.66</td>\n",
+ " <td id=\"T_7c338_row63_col1\" class=\"data row63 col1\" >4.29</td>\n",
+ " <td id=\"T_7c338_row63_col2\" class=\"data row63 col2\" >29.52</td>\n",
+ " <td id=\"T_7c338_row63_col3\" class=\"data row63 col3\" >5.24</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfdffb10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_4785b td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_4785b th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_4785b_row0_col0, #T_4785b_row8_col0, #T_4785b_row15_col0 {\n",
+ " background-color: #a6f7a6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row0_col2, #T_4785b_row15_col2 {\n",
+ " background-color: #c8f5c8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row1_col0, #T_4785b_row14_col0 {\n",
+ " background-color: #84fa84;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row1_col2, #T_4785b_row4_col0, #T_4785b_row12_col0 {\n",
+ " background-color: #56fd56;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row2_col0 {\n",
+ " background-color: #b2f7b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row2_col2 {\n",
+ " background-color: #8ff98f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row3_col0, #T_4785b_row13_col0 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row3_col2, #T_4785b_row12_col2 {\n",
+ " background-color: #89f989;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row4_col2 {\n",
+ " background-color: #62fc62;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row5_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row5_col2, #T_4785b_row7_col0, #T_4785b_row9_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row6_col0, #T_4785b_row13_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row6_col2 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row7_col2 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row8_col2 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row9_col0 {\n",
+ " background-color: #4bfd4b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row10_col0 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row10_col2 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row11_col0 {\n",
+ " background-color: #dff4df;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row11_col2 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_4785b_row14_col2 {\n",
+ " background-color: #5cfc5c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_4785b\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_4785b_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">Bidded</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_4785b_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Jobs</th>\n",
+ " <th id=\"T_4785b_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Services</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_4785b_level2_col0\" class=\"col_heading level2 col0\" >Number</th>\n",
+ " <th id=\"T_4785b_level2_col1\" class=\"col_heading level2 col1\" >std</th>\n",
+ " <th id=\"T_4785b_level2_col2\" class=\"col_heading level2 col2\" >Number</th>\n",
+ " <th id=\"T_4785b_level2_col3\" class=\"col_heading level2 col3\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_4785b_row0_col0\" class=\"data row0 col0\" >98.46</td>\n",
+ " <td id=\"T_4785b_row0_col1\" class=\"data row0 col1\" >1.45</td>\n",
+ " <td id=\"T_4785b_row0_col2\" class=\"data row0 col2\" >98.50</td>\n",
+ " <td id=\"T_4785b_row0_col3\" class=\"data row0 col3\" >1.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_4785b_row1_col0\" class=\"data row1 col0\" >98.50</td>\n",
+ " <td id=\"T_4785b_row1_col1\" class=\"data row1 col1\" >1.38</td>\n",
+ " <td id=\"T_4785b_row1_col2\" class=\"data row1 col2\" >98.75</td>\n",
+ " <td id=\"T_4785b_row1_col3\" class=\"data row1 col3\" >1.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_4785b_row2_col0\" class=\"data row2 col0\" >98.45</td>\n",
+ " <td id=\"T_4785b_row2_col1\" class=\"data row2 col1\" >1.40</td>\n",
+ " <td id=\"T_4785b_row2_col2\" class=\"data row2 col2\" >98.62</td>\n",
+ " <td id=\"T_4785b_row2_col3\" class=\"data row2 col3\" >1.40</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_4785b_row3_col0\" class=\"data row3 col0\" >98.49</td>\n",
+ " <td id=\"T_4785b_row3_col1\" class=\"data row3 col1\" >1.50</td>\n",
+ " <td id=\"T_4785b_row3_col2\" class=\"data row3 col2\" >98.64</td>\n",
+ " <td id=\"T_4785b_row3_col3\" class=\"data row3 col3\" >1.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_4785b_row4_col0\" class=\"data row4 col0\" >98.55</td>\n",
+ " <td id=\"T_4785b_row4_col1\" class=\"data row4 col1\" >1.39</td>\n",
+ " <td id=\"T_4785b_row4_col2\" class=\"data row4 col2\" >98.72</td>\n",
+ " <td id=\"T_4785b_row4_col3\" class=\"data row4 col3\" >1.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_4785b_row5_col0\" class=\"data row5 col0\" >98.51</td>\n",
+ " <td id=\"T_4785b_row5_col1\" class=\"data row5 col1\" >1.43</td>\n",
+ " <td id=\"T_4785b_row5_col2\" class=\"data row5 col2\" >98.83</td>\n",
+ " <td id=\"T_4785b_row5_col3\" class=\"data row5 col3\" >1.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_4785b_row6_col0\" class=\"data row6 col0\" >98.39</td>\n",
+ " <td id=\"T_4785b_row6_col1\" class=\"data row6 col1\" >1.55</td>\n",
+ " <td id=\"T_4785b_row6_col2\" class=\"data row6 col2\" >98.53</td>\n",
+ " <td id=\"T_4785b_row6_col3\" class=\"data row6 col3\" >1.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_4785b_row7_col0\" class=\"data row7 col0\" >98.59</td>\n",
+ " <td id=\"T_4785b_row7_col1\" class=\"data row7 col1\" >1.33</td>\n",
+ " <td id=\"T_4785b_row7_col2\" class=\"data row7 col2\" >98.65</td>\n",
+ " <td id=\"T_4785b_row7_col3\" class=\"data row7 col3\" >1.28</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_4785b_row8_col0\" class=\"data row8 col0\" >98.46</td>\n",
+ " <td id=\"T_4785b_row8_col1\" class=\"data row8 col1\" >1.58</td>\n",
+ " <td id=\"T_4785b_row8_col2\" class=\"data row8 col2\" >98.66</td>\n",
+ " <td id=\"T_4785b_row8_col3\" class=\"data row8 col3\" >1.33</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_4785b_row9_col0\" class=\"data row9 col0\" >98.56</td>\n",
+ " <td id=\"T_4785b_row9_col1\" class=\"data row9 col1\" >1.34</td>\n",
+ " <td id=\"T_4785b_row9_col2\" class=\"data row9 col2\" >98.83</td>\n",
+ " <td id=\"T_4785b_row9_col3\" class=\"data row9 col3\" >1.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_4785b_row10_col0\" class=\"data row10 col0\" >98.53</td>\n",
+ " <td id=\"T_4785b_row10_col1\" class=\"data row10 col1\" >1.41</td>\n",
+ " <td id=\"T_4785b_row10_col2\" class=\"data row10 col2\" >98.61</td>\n",
+ " <td id=\"T_4785b_row10_col3\" class=\"data row10 col3\" >1.35</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_4785b_row11_col0\" class=\"data row11 col0\" >98.40</td>\n",
+ " <td id=\"T_4785b_row11_col1\" class=\"data row11 col1\" >1.54</td>\n",
+ " <td id=\"T_4785b_row11_col2\" class=\"data row11 col2\" >98.51</td>\n",
+ " <td id=\"T_4785b_row11_col3\" class=\"data row11 col3\" >1.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_4785b_row12_col0\" class=\"data row12 col0\" >98.55</td>\n",
+ " <td id=\"T_4785b_row12_col1\" class=\"data row12 col1\" >1.41</td>\n",
+ " <td id=\"T_4785b_row12_col2\" class=\"data row12 col2\" >98.64</td>\n",
+ " <td id=\"T_4785b_row12_col3\" class=\"data row12 col3\" >1.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_4785b_row13_col0\" class=\"data row13 col0\" >98.49</td>\n",
+ " <td id=\"T_4785b_row13_col1\" class=\"data row13 col1\" >1.37</td>\n",
+ " <td id=\"T_4785b_row13_col2\" class=\"data row13 col2\" >98.42</td>\n",
+ " <td id=\"T_4785b_row13_col3\" class=\"data row13 col3\" >1.32</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_4785b_row14_col0\" class=\"data row14 col0\" >98.50</td>\n",
+ " <td id=\"T_4785b_row14_col1\" class=\"data row14 col1\" >1.48</td>\n",
+ " <td id=\"T_4785b_row14_col2\" class=\"data row14 col2\" >98.74</td>\n",
+ " <td id=\"T_4785b_row14_col3\" class=\"data row14 col3\" >1.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_4785b_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_4785b_row15_col0\" class=\"data row15 col0\" >98.46</td>\n",
+ " <td id=\"T_4785b_row15_col1\" class=\"data row15 col1\" >1.45</td>\n",
+ " <td id=\"T_4785b_row15_col2\" class=\"data row15 col2\" >98.50</td>\n",
+ " <td id=\"T_4785b_row15_col3\" class=\"data row15 col3\" >1.26</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfe46090>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_bidded(\"small\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_eabbf td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_eabbf th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_eabbf_row0_col0, #T_eabbf_row1_col0, #T_eabbf_row2_col2, #T_eabbf_row3_col2, #T_eabbf_row23_col2, #T_eabbf_row27_col2, #T_eabbf_row35_col2, #T_eabbf_row45_col2, #T_eabbf_row60_col0, #T_eabbf_row61_col0, #T_eabbf_row62_col2, #T_eabbf_row63_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row0_col2, #T_eabbf_row1_col2, #T_eabbf_row15_col2, #T_eabbf_row16_col2, #T_eabbf_row21_col2, #T_eabbf_row28_col2, #T_eabbf_row36_col2, #T_eabbf_row38_col2, #T_eabbf_row40_col2, #T_eabbf_row48_col2, #T_eabbf_row49_col2, #T_eabbf_row51_col2, #T_eabbf_row52_col2, #T_eabbf_row54_col2, #T_eabbf_row55_col2, #T_eabbf_row59_col2, #T_eabbf_row60_col2, #T_eabbf_row61_col2 {\n",
+ " background-color: #35ff35;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row0_col4, #T_eabbf_row60_col4 {\n",
+ " background-color: #f6b9b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row1_col4, #T_eabbf_row61_col4 {\n",
+ " background-color: #f6a8a8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row2_col0, #T_eabbf_row22_col2, #T_eabbf_row33_col2, #T_eabbf_row39_col2, #T_eabbf_row43_col2, #T_eabbf_row49_col0, #T_eabbf_row62_col0 {\n",
+ " background-color: #3aff3a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row2_col4, #T_eabbf_row62_col4 {\n",
+ " background-color: #f6b4b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row3_col0, #T_eabbf_row13_col2, #T_eabbf_row47_col2, #T_eabbf_row63_col0 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row3_col4, #T_eabbf_row6_col4, #T_eabbf_row17_col4, #T_eabbf_row63_col4 {\n",
+ " background-color: #f5bcbc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row4_col0 {\n",
+ " background-color: #a3f8a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row4_col2, #T_eabbf_row9_col2, #T_eabbf_row14_col2 {\n",
+ " background-color: #44fe44;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row4_col4 {\n",
+ " background-color: #fe1818;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row5_col0, #T_eabbf_row31_col0, #T_eabbf_row32_col0 {\n",
+ " background-color: #68fc68;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row5_col2, #T_eabbf_row6_col2, #T_eabbf_row18_col2, #T_eabbf_row24_col2, #T_eabbf_row32_col2, #T_eabbf_row42_col2 {\n",
+ " background-color: #38ff38;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row5_col4, #T_eabbf_row23_col4 {\n",
+ " background-color: #f3e4e4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row6_col0 {\n",
+ " background-color: #7bfa7b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row7_col0, #T_eabbf_row22_col0 {\n",
+ " background-color: #6cfb6c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row7_col2, #T_eabbf_row10_col2, #T_eabbf_row12_col2, #T_eabbf_row44_col2, #T_eabbf_row46_col2, #T_eabbf_row58_col2 {\n",
+ " background-color: #36ff36;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row7_col4, #T_eabbf_row11_col4, #T_eabbf_row56_col4 {\n",
+ " background-color: #f5c8c8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row8_col0, #T_eabbf_row27_col0 {\n",
+ " background-color: #74fb74;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row8_col2, #T_eabbf_row37_col2 {\n",
+ " background-color: #3efe3e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row8_col4 {\n",
+ " background-color: #f6acac;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row9_col0 {\n",
+ " background-color: #98f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row9_col4 {\n",
+ " background-color: #fe1616;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row10_col0 {\n",
+ " background-color: #83fa83;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row10_col4 {\n",
+ " background-color: #f7a7a7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row11_col0 {\n",
+ " background-color: #7dfa7d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row11_col2, #T_eabbf_row26_col2, #T_eabbf_row31_col2, #T_eabbf_row57_col2 {\n",
+ " background-color: #37ff37;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row12_col0 {\n",
+ " background-color: #6ffb6f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row12_col4 {\n",
+ " background-color: #f5c6c6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row13_col0, #T_eabbf_row17_col0, #T_eabbf_row33_col0 {\n",
+ " background-color: #61fc61;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row13_col4 {\n",
+ " background-color: #f5c3c3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row14_col0 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row14_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row15_col0 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row15_col4 {\n",
+ " background-color: #f5bebe;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row16_col0, #T_eabbf_row28_col0, #T_eabbf_row36_col0, #T_eabbf_row58_col0 {\n",
+ " background-color: #5cfc5c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row16_col4 {\n",
+ " background-color: #f5c8c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row17_col2 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row18_col0 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row18_col4 {\n",
+ " background-color: #f5c7c7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row19_col0 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row19_col2 {\n",
+ " background-color: #45fe45;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row19_col4 {\n",
+ " background-color: #fe1313;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row20_col0 {\n",
+ " background-color: #88f988;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row20_col2 {\n",
+ " background-color: #40fe40;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row20_col4 {\n",
+ " background-color: #fc3b3b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row21_col0 {\n",
+ " background-color: #69fc69;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row21_col4 {\n",
+ " background-color: #f88888;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row22_col4 {\n",
+ " background-color: #f6baba;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row23_col0 {\n",
+ " background-color: #5dfc5d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row24_col0, #T_eabbf_row47_col0 {\n",
+ " background-color: #64fc64;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row24_col4 {\n",
+ " background-color: #f88383;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row25_col0 {\n",
+ " background-color: #9cf89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row25_col2 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row25_col4 {\n",
+ " background-color: #f3e8e7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row26_col0, #T_eabbf_row56_col0 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row26_col4 {\n",
+ " background-color: #fb5656;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row27_col4 {\n",
+ " background-color: #f4d1d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row28_col4 {\n",
+ " background-color: #f98080;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row29_col0 {\n",
+ " background-color: #63fc63;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row29_col2 {\n",
+ " background-color: #8bf98b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row29_col4 {\n",
+ " background-color: #f3e9e9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row30_col0 {\n",
+ " background-color: #86fa86;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row30_col2 {\n",
+ " background-color: #4efd4e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row30_col4 {\n",
+ " background-color: #f6bbbb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row31_col4 {\n",
+ " background-color: #f97777;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row32_col4 {\n",
+ " background-color: #f5c9c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row33_col4 {\n",
+ " background-color: #fa5a5a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row34_col0 {\n",
+ " background-color: #97f897;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row34_col2 {\n",
+ " background-color: #3bff3b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row34_col4 {\n",
+ " background-color: #fc3a3a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row35_col0, #T_eabbf_row38_col0 {\n",
+ " background-color: #7afa7a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row35_col4 {\n",
+ " background-color: #f5caca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row36_col4 {\n",
+ " background-color: #f5cbcb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row37_col0 {\n",
+ " background-color: #58fd58;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row37_col4 {\n",
+ " background-color: #fb4e4e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row38_col4, #T_eabbf_row41_col4 {\n",
+ " background-color: #f5c4c4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row39_col0, #T_eabbf_row42_col0 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row39_col4 {\n",
+ " background-color: #f97070;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row40_col0 {\n",
+ " background-color: #53fd53;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row40_col4 {\n",
+ " background-color: #f4d9d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row41_col0 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row41_col2, #T_eabbf_row46_col0, #T_eabbf_row59_col0 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row42_col4 {\n",
+ " background-color: #f96f6f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row43_col0 {\n",
+ " background-color: #81fa81;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row43_col4 {\n",
+ " background-color: #f97373;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row44_col0, #T_eabbf_row51_col0 {\n",
+ " background-color: #4cfd4c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row44_col4 {\n",
+ " background-color: #f88f8f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row45_col0 {\n",
+ " background-color: #46fe46;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row45_col4 {\n",
+ " background-color: #f7a3a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row46_col4, #T_eabbf_row57_col4 {\n",
+ " background-color: #f97a7a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_eabbf_row47_col4 {\n",
+ " background-color: #f4dddd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row48_col0 {\n",
+ " background-color: #47fe47;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row48_col4 {\n",
+ " background-color: #f79898;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row49_col4 {\n",
+ " background-color: #f6a9a9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row50_col0 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row50_col2 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row50_col4 {\n",
+ " background-color: #f4d4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row51_col4 {\n",
+ " background-color: #f7a0a0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row52_col0, #T_eabbf_row55_col0 {\n",
+ " background-color: #49fe49;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row52_col4 {\n",
+ " background-color: #f6aeae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row53_col0, #T_eabbf_row53_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row53_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row54_col0 {\n",
+ " background-color: #50fd50;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row54_col4 {\n",
+ " background-color: #f6aaaa;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row55_col4 {\n",
+ " background-color: #f79e9e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row56_col2 {\n",
+ " background-color: #42fe42;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row57_col0 {\n",
+ " background-color: #4bfd4b;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row58_col4 {\n",
+ " background-color: #f89494;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_eabbf_row59_col4 {\n",
+ " background-color: #f79f9f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_eabbf\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_eabbf_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_eabbf_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_eabbf_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_eabbf_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_eabbf_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_eabbf_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_eabbf_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_eabbf_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_eabbf_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_eabbf_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_eabbf_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_eabbf_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_eabbf_row0_col0\" class=\"data row0 col0\" >99.21</td>\n",
+ " <td id=\"T_eabbf_row0_col1\" class=\"data row0 col1\" >1.48</td>\n",
+ " <td id=\"T_eabbf_row0_col2\" class=\"data row0 col2\" >99.82</td>\n",
+ " <td id=\"T_eabbf_row0_col3\" class=\"data row0 col3\" >1.12</td>\n",
+ " <td id=\"T_eabbf_row0_col4\" class=\"data row0 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row0_col5\" class=\"data row0 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_eabbf_row1_col0\" class=\"data row1 col0\" >99.21</td>\n",
+ " <td id=\"T_eabbf_row1_col1\" class=\"data row1 col1\" >2.37</td>\n",
+ " <td id=\"T_eabbf_row1_col2\" class=\"data row1 col2\" >99.70</td>\n",
+ " <td id=\"T_eabbf_row1_col3\" class=\"data row1 col3\" >2.08</td>\n",
+ " <td id=\"T_eabbf_row1_col4\" class=\"data row1 col4\" >1.15</td>\n",
+ " <td id=\"T_eabbf_row1_col5\" class=\"data row1 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_eabbf_row2_col0\" class=\"data row2 col0\" >98.81</td>\n",
+ " <td id=\"T_eabbf_row2_col1\" class=\"data row2 col1\" >1.77</td>\n",
+ " <td id=\"T_eabbf_row2_col2\" class=\"data row2 col2\" >99.92</td>\n",
+ " <td id=\"T_eabbf_row2_col3\" class=\"data row2 col3\" >0.58</td>\n",
+ " <td id=\"T_eabbf_row2_col4\" class=\"data row2 col4\" >1.12</td>\n",
+ " <td id=\"T_eabbf_row2_col5\" class=\"data row2 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_eabbf_row3_col0\" class=\"data row3 col0\" >98.66</td>\n",
+ " <td id=\"T_eabbf_row3_col1\" class=\"data row3 col1\" >1.92</td>\n",
+ " <td id=\"T_eabbf_row3_col2\" class=\"data row3 col2\" >100.00</td>\n",
+ " <td id=\"T_eabbf_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
+ " <td id=\"T_eabbf_row3_col4\" class=\"data row3 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row3_col5\" class=\"data row3 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_eabbf_row4_col0\" class=\"data row4 col0\" >93.02</td>\n",
+ " <td id=\"T_eabbf_row4_col1\" class=\"data row4 col1\" >3.02</td>\n",
+ " <td id=\"T_eabbf_row4_col2\" class=\"data row4 col2\" >96.48</td>\n",
+ " <td id=\"T_eabbf_row4_col3\" class=\"data row4 col3\" >3.23</td>\n",
+ " <td id=\"T_eabbf_row4_col4\" class=\"data row4 col4\" >1.43</td>\n",
+ " <td id=\"T_eabbf_row4_col5\" class=\"data row4 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_eabbf_row5_col0\" class=\"data row5 col0\" >96.31</td>\n",
+ " <td id=\"T_eabbf_row5_col1\" class=\"data row5 col1\" >5.08</td>\n",
+ " <td id=\"T_eabbf_row5_col2\" class=\"data row5 col2\" >99.00</td>\n",
+ " <td id=\"T_eabbf_row5_col3\" class=\"data row5 col3\" >9.95</td>\n",
+ " <td id=\"T_eabbf_row5_col4\" class=\"data row5 col4\" >1.03</td>\n",
+ " <td id=\"T_eabbf_row5_col5\" class=\"data row5 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_eabbf_row6_col0\" class=\"data row6 col0\" >95.23</td>\n",
+ " <td id=\"T_eabbf_row6_col1\" class=\"data row6 col1\" >3.61</td>\n",
+ " <td id=\"T_eabbf_row6_col2\" class=\"data row6 col2\" >99.21</td>\n",
+ " <td id=\"T_eabbf_row6_col3\" class=\"data row6 col3\" >3.21</td>\n",
+ " <td id=\"T_eabbf_row6_col4\" class=\"data row6 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row6_col5\" class=\"data row6 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_eabbf_row7_col0\" class=\"data row7 col0\" >96.09</td>\n",
+ " <td id=\"T_eabbf_row7_col1\" class=\"data row7 col1\" >3.10</td>\n",
+ " <td id=\"T_eabbf_row7_col2\" class=\"data row7 col2\" >99.49</td>\n",
+ " <td id=\"T_eabbf_row7_col3\" class=\"data row7 col3\" >3.29</td>\n",
+ " <td id=\"T_eabbf_row7_col4\" class=\"data row7 col4\" >1.08</td>\n",
+ " <td id=\"T_eabbf_row7_col5\" class=\"data row7 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_eabbf_row8_col0\" class=\"data row8 col0\" >95.66</td>\n",
+ " <td id=\"T_eabbf_row8_col1\" class=\"data row8 col1\" >2.99</td>\n",
+ " <td id=\"T_eabbf_row8_col2\" class=\"data row8 col2\" >97.91</td>\n",
+ " <td id=\"T_eabbf_row8_col3\" class=\"data row8 col3\" >5.37</td>\n",
+ " <td id=\"T_eabbf_row8_col4\" class=\"data row8 col4\" >1.14</td>\n",
+ " <td id=\"T_eabbf_row8_col5\" class=\"data row8 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_eabbf_row9_col0\" class=\"data row9 col0\" >93.63</td>\n",
+ " <td id=\"T_eabbf_row9_col1\" class=\"data row9 col1\" >3.75</td>\n",
+ " <td id=\"T_eabbf_row9_col2\" class=\"data row9 col2\" >96.46</td>\n",
+ " <td id=\"T_eabbf_row9_col3\" class=\"data row9 col3\" >4.89</td>\n",
+ " <td id=\"T_eabbf_row9_col4\" class=\"data row9 col4\" >1.44</td>\n",
+ " <td id=\"T_eabbf_row9_col5\" class=\"data row9 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_eabbf_row10_col0\" class=\"data row10 col0\" >94.79</td>\n",
+ " <td id=\"T_eabbf_row10_col1\" class=\"data row10 col1\" >3.39</td>\n",
+ " <td id=\"T_eabbf_row10_col2\" class=\"data row10 col2\" >99.49</td>\n",
+ " <td id=\"T_eabbf_row10_col3\" class=\"data row10 col3\" >1.91</td>\n",
+ " <td id=\"T_eabbf_row10_col4\" class=\"data row10 col4\" >1.15</td>\n",
+ " <td id=\"T_eabbf_row10_col5\" class=\"data row10 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_eabbf_row11_col0\" class=\"data row11 col0\" >95.14</td>\n",
+ " <td id=\"T_eabbf_row11_col1\" class=\"data row11 col1\" >3.72</td>\n",
+ " <td id=\"T_eabbf_row11_col2\" class=\"data row11 col2\" >99.40</td>\n",
+ " <td id=\"T_eabbf_row11_col3\" class=\"data row11 col3\" >4.08</td>\n",
+ " <td id=\"T_eabbf_row11_col4\" class=\"data row11 col4\" >1.08</td>\n",
+ " <td id=\"T_eabbf_row11_col5\" class=\"data row11 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_eabbf_row12_col0\" class=\"data row12 col0\" >95.90</td>\n",
+ " <td id=\"T_eabbf_row12_col1\" class=\"data row12 col1\" >5.36</td>\n",
+ " <td id=\"T_eabbf_row12_col2\" class=\"data row12 col2\" >99.44</td>\n",
+ " <td id=\"T_eabbf_row12_col3\" class=\"data row12 col3\" >2.11</td>\n",
+ " <td id=\"T_eabbf_row12_col4\" class=\"data row12 col4\" >1.09</td>\n",
+ " <td id=\"T_eabbf_row12_col5\" class=\"data row12 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_eabbf_row13_col0\" class=\"data row13 col0\" >96.67</td>\n",
+ " <td id=\"T_eabbf_row13_col1\" class=\"data row13 col1\" >4.69</td>\n",
+ " <td id=\"T_eabbf_row13_col2\" class=\"data row13 col2\" >97.95</td>\n",
+ " <td id=\"T_eabbf_row13_col3\" class=\"data row13 col3\" >10.98</td>\n",
+ " <td id=\"T_eabbf_row13_col4\" class=\"data row13 col4\" >1.09</td>\n",
+ " <td id=\"T_eabbf_row13_col5\" class=\"data row13 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_eabbf_row14_col0\" class=\"data row14 col0\" >92.11</td>\n",
+ " <td id=\"T_eabbf_row14_col1\" class=\"data row14 col1\" >3.14</td>\n",
+ " <td id=\"T_eabbf_row14_col2\" class=\"data row14 col2\" >96.58</td>\n",
+ " <td id=\"T_eabbf_row14_col3\" class=\"data row14 col3\" >4.03</td>\n",
+ " <td id=\"T_eabbf_row14_col4\" class=\"data row14 col4\" >1.48</td>\n",
+ " <td id=\"T_eabbf_row14_col5\" class=\"data row14 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_eabbf_row15_col0\" class=\"data row15 col0\" >94.18</td>\n",
+ " <td id=\"T_eabbf_row15_col1\" class=\"data row15 col1\" >3.77</td>\n",
+ " <td id=\"T_eabbf_row15_col2\" class=\"data row15 col2\" >99.75</td>\n",
+ " <td id=\"T_eabbf_row15_col3\" class=\"data row15 col3\" >1.41</td>\n",
+ " <td id=\"T_eabbf_row15_col4\" class=\"data row15 col4\" >1.10</td>\n",
+ " <td id=\"T_eabbf_row15_col5\" class=\"data row15 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_eabbf_row16_col0\" class=\"data row16 col0\" >96.96</td>\n",
+ " <td id=\"T_eabbf_row16_col1\" class=\"data row16 col1\" >2.39</td>\n",
+ " <td id=\"T_eabbf_row16_col2\" class=\"data row16 col2\" >99.60</td>\n",
+ " <td id=\"T_eabbf_row16_col3\" class=\"data row16 col3\" >2.11</td>\n",
+ " <td id=\"T_eabbf_row16_col4\" class=\"data row16 col4\" >1.09</td>\n",
+ " <td id=\"T_eabbf_row16_col5\" class=\"data row16 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_eabbf_row17_col0\" class=\"data row17 col0\" >96.69</td>\n",
+ " <td id=\"T_eabbf_row17_col1\" class=\"data row17 col1\" >5.43</td>\n",
+ " <td id=\"T_eabbf_row17_col2\" class=\"data row17 col2\" >97.65</td>\n",
+ " <td id=\"T_eabbf_row17_col3\" class=\"data row17 col3\" >11.55</td>\n",
+ " <td id=\"T_eabbf_row17_col4\" class=\"data row17 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row17_col5\" class=\"data row17 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_eabbf_row18_col0\" class=\"data row18 col0\" >93.90</td>\n",
+ " <td id=\"T_eabbf_row18_col1\" class=\"data row18 col1\" >4.85</td>\n",
+ " <td id=\"T_eabbf_row18_col2\" class=\"data row18 col2\" >99.15</td>\n",
+ " <td id=\"T_eabbf_row18_col3\" class=\"data row18 col3\" >5.02</td>\n",
+ " <td id=\"T_eabbf_row18_col4\" class=\"data row18 col4\" >1.09</td>\n",
+ " <td id=\"T_eabbf_row18_col5\" class=\"data row18 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_eabbf_row19_col0\" class=\"data row19 col0\" >93.21</td>\n",
+ " <td id=\"T_eabbf_row19_col1\" class=\"data row19 col1\" >2.92</td>\n",
+ " <td id=\"T_eabbf_row19_col2\" class=\"data row19 col2\" >96.39</td>\n",
+ " <td id=\"T_eabbf_row19_col3\" class=\"data row19 col3\" >4.60</td>\n",
+ " <td id=\"T_eabbf_row19_col4\" class=\"data row19 col4\" >1.44</td>\n",
+ " <td id=\"T_eabbf_row19_col5\" class=\"data row19 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_eabbf_row20_col0\" class=\"data row20 col0\" >94.53</td>\n",
+ " <td id=\"T_eabbf_row20_col1\" class=\"data row20 col1\" >3.16</td>\n",
+ " <td id=\"T_eabbf_row20_col2\" class=\"data row20 col2\" >97.48</td>\n",
+ " <td id=\"T_eabbf_row20_col3\" class=\"data row20 col3\" >3.03</td>\n",
+ " <td id=\"T_eabbf_row20_col4\" class=\"data row20 col4\" >1.36</td>\n",
+ " <td id=\"T_eabbf_row20_col5\" class=\"data row20 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_eabbf_row21_col0\" class=\"data row21 col0\" >96.23</td>\n",
+ " <td id=\"T_eabbf_row21_col1\" class=\"data row21 col1\" >3.06</td>\n",
+ " <td id=\"T_eabbf_row21_col2\" class=\"data row21 col2\" >99.58</td>\n",
+ " <td id=\"T_eabbf_row21_col3\" class=\"data row21 col3\" >2.00</td>\n",
+ " <td id=\"T_eabbf_row21_col4\" class=\"data row21 col4\" >1.21</td>\n",
+ " <td id=\"T_eabbf_row21_col5\" class=\"data row21 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_eabbf_row22_col0\" class=\"data row22 col0\" >96.07</td>\n",
+ " <td id=\"T_eabbf_row22_col1\" class=\"data row22 col1\" >3.61</td>\n",
+ " <td id=\"T_eabbf_row22_col2\" class=\"data row22 col2\" >98.74</td>\n",
+ " <td id=\"T_eabbf_row22_col3\" class=\"data row22 col3\" >10.02</td>\n",
+ " <td id=\"T_eabbf_row22_col4\" class=\"data row22 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row22_col5\" class=\"data row22 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_eabbf_row23_col0\" class=\"data row23 col0\" >96.90</td>\n",
+ " <td id=\"T_eabbf_row23_col1\" class=\"data row23 col1\" >3.05</td>\n",
+ " <td id=\"T_eabbf_row23_col2\" class=\"data row23 col2\" >100.00</td>\n",
+ " <td id=\"T_eabbf_row23_col3\" class=\"data row23 col3\" >0.00</td>\n",
+ " <td id=\"T_eabbf_row23_col4\" class=\"data row23 col4\" >1.03</td>\n",
+ " <td id=\"T_eabbf_row23_col5\" class=\"data row23 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_eabbf_row24_col0\" class=\"data row24 col0\" >96.53</td>\n",
+ " <td id=\"T_eabbf_row24_col1\" class=\"data row24 col1\" >2.31</td>\n",
+ " <td id=\"T_eabbf_row24_col2\" class=\"data row24 col2\" >99.15</td>\n",
+ " <td id=\"T_eabbf_row24_col3\" class=\"data row24 col3\" >1.98</td>\n",
+ " <td id=\"T_eabbf_row24_col4\" class=\"data row24 col4\" >1.22</td>\n",
+ " <td id=\"T_eabbf_row24_col5\" class=\"data row24 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_eabbf_row25_col0\" class=\"data row25 col0\" >93.41</td>\n",
+ " <td id=\"T_eabbf_row25_col1\" class=\"data row25 col1\" >18.19</td>\n",
+ " <td id=\"T_eabbf_row25_col2\" class=\"data row25 col2\" >81.70</td>\n",
+ " <td id=\"T_eabbf_row25_col3\" class=\"data row25 col3\" >38.39</td>\n",
+ " <td id=\"T_eabbf_row25_col4\" class=\"data row25 col4\" >1.02</td>\n",
+ " <td id=\"T_eabbf_row25_col5\" class=\"data row25 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_eabbf_row26_col0\" class=\"data row26 col0\" >95.49</td>\n",
+ " <td id=\"T_eabbf_row26_col1\" class=\"data row26 col1\" >2.52</td>\n",
+ " <td id=\"T_eabbf_row26_col2\" class=\"data row26 col2\" >99.31</td>\n",
+ " <td id=\"T_eabbf_row26_col3\" class=\"data row26 col3\" >1.47</td>\n",
+ " <td id=\"T_eabbf_row26_col4\" class=\"data row26 col4\" >1.31</td>\n",
+ " <td id=\"T_eabbf_row26_col5\" class=\"data row26 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_eabbf_row27_col0\" class=\"data row27 col0\" >95.66</td>\n",
+ " <td id=\"T_eabbf_row27_col1\" class=\"data row27 col1\" >4.29</td>\n",
+ " <td id=\"T_eabbf_row27_col2\" class=\"data row27 col2\" >99.88</td>\n",
+ " <td id=\"T_eabbf_row27_col3\" class=\"data row27 col3\" >1.23</td>\n",
+ " <td id=\"T_eabbf_row27_col4\" class=\"data row27 col4\" >1.07</td>\n",
+ " <td id=\"T_eabbf_row27_col5\" class=\"data row27 col5\" >0.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_eabbf_row28_col0\" class=\"data row28 col0\" >96.94</td>\n",
+ " <td id=\"T_eabbf_row28_col1\" class=\"data row28 col1\" >2.36</td>\n",
+ " <td id=\"T_eabbf_row28_col2\" class=\"data row28 col2\" >99.56</td>\n",
+ " <td id=\"T_eabbf_row28_col3\" class=\"data row28 col3\" >1.07</td>\n",
+ " <td id=\"T_eabbf_row28_col4\" class=\"data row28 col4\" >1.23</td>\n",
+ " <td id=\"T_eabbf_row28_col5\" class=\"data row28 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_eabbf_row29_col0\" class=\"data row29 col0\" >96.59</td>\n",
+ " <td id=\"T_eabbf_row29_col1\" class=\"data row29 col1\" >11.94</td>\n",
+ " <td id=\"T_eabbf_row29_col2\" class=\"data row29 col2\" >82.00</td>\n",
+ " <td id=\"T_eabbf_row29_col3\" class=\"data row29 col3\" >38.42</td>\n",
+ " <td id=\"T_eabbf_row29_col4\" class=\"data row29 col4\" >1.02</td>\n",
+ " <td id=\"T_eabbf_row29_col5\" class=\"data row29 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_eabbf_row30_col0\" class=\"data row30 col0\" >94.60</td>\n",
+ " <td id=\"T_eabbf_row30_col1\" class=\"data row30 col1\" >11.21</td>\n",
+ " <td id=\"T_eabbf_row30_col2\" class=\"data row30 col2\" >94.57</td>\n",
+ " <td id=\"T_eabbf_row30_col3\" class=\"data row30 col3\" >22.00</td>\n",
+ " <td id=\"T_eabbf_row30_col4\" class=\"data row30 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row30_col5\" class=\"data row30 col5\" >0.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_eabbf_row31_col0\" class=\"data row31 col0\" >96.29</td>\n",
+ " <td id=\"T_eabbf_row31_col1\" class=\"data row31 col1\" >2.00</td>\n",
+ " <td id=\"T_eabbf_row31_col2\" class=\"data row31 col2\" >99.28</td>\n",
+ " <td id=\"T_eabbf_row31_col3\" class=\"data row31 col3\" >2.39</td>\n",
+ " <td id=\"T_eabbf_row31_col4\" class=\"data row31 col4\" >1.24</td>\n",
+ " <td id=\"T_eabbf_row31_col5\" class=\"data row31 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_eabbf_row32_col0\" class=\"data row32 col0\" >96.27</td>\n",
+ " <td id=\"T_eabbf_row32_col1\" class=\"data row32 col1\" >4.50</td>\n",
+ " <td id=\"T_eabbf_row32_col2\" class=\"data row32 col2\" >99.13</td>\n",
+ " <td id=\"T_eabbf_row32_col3\" class=\"data row32 col3\" >5.32</td>\n",
+ " <td id=\"T_eabbf_row32_col4\" class=\"data row32 col4\" >1.08</td>\n",
+ " <td id=\"T_eabbf_row32_col5\" class=\"data row32 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_eabbf_row33_col0\" class=\"data row33 col0\" >96.66</td>\n",
+ " <td id=\"T_eabbf_row33_col1\" class=\"data row33 col1\" >3.12</td>\n",
+ " <td id=\"T_eabbf_row33_col2\" class=\"data row33 col2\" >98.62</td>\n",
+ " <td id=\"T_eabbf_row33_col3\" class=\"data row33 col3\" >3.54</td>\n",
+ " <td id=\"T_eabbf_row33_col4\" class=\"data row33 col4\" >1.30</td>\n",
+ " <td id=\"T_eabbf_row33_col5\" class=\"data row33 col5\" >0.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_eabbf_row34_col0\" class=\"data row34 col0\" >93.68</td>\n",
+ " <td id=\"T_eabbf_row34_col1\" class=\"data row34 col1\" >2.78</td>\n",
+ " <td id=\"T_eabbf_row34_col2\" class=\"data row34 col2\" >98.38</td>\n",
+ " <td id=\"T_eabbf_row34_col3\" class=\"data row34 col3\" >2.40</td>\n",
+ " <td id=\"T_eabbf_row34_col4\" class=\"data row34 col4\" >1.36</td>\n",
+ " <td id=\"T_eabbf_row34_col5\" class=\"data row34 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_eabbf_row35_col0\" class=\"data row35 col0\" >95.28</td>\n",
+ " <td id=\"T_eabbf_row35_col1\" class=\"data row35 col1\" >3.29</td>\n",
+ " <td id=\"T_eabbf_row35_col2\" class=\"data row35 col2\" >99.88</td>\n",
+ " <td id=\"T_eabbf_row35_col3\" class=\"data row35 col3\" >1.22</td>\n",
+ " <td id=\"T_eabbf_row35_col4\" class=\"data row35 col4\" >1.08</td>\n",
+ " <td id=\"T_eabbf_row35_col5\" class=\"data row35 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_eabbf_row36_col0\" class=\"data row36 col0\" >96.96</td>\n",
+ " <td id=\"T_eabbf_row36_col1\" class=\"data row36 col1\" >3.66</td>\n",
+ " <td id=\"T_eabbf_row36_col2\" class=\"data row36 col2\" >99.74</td>\n",
+ " <td id=\"T_eabbf_row36_col3\" class=\"data row36 col3\" >1.97</td>\n",
+ " <td id=\"T_eabbf_row36_col4\" class=\"data row36 col4\" >1.08</td>\n",
+ " <td id=\"T_eabbf_row36_col5\" class=\"data row36 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_eabbf_row37_col0\" class=\"data row37 col0\" >97.18</td>\n",
+ " <td id=\"T_eabbf_row37_col1\" class=\"data row37 col1\" >2.71</td>\n",
+ " <td id=\"T_eabbf_row37_col2\" class=\"data row37 col2\" >97.90</td>\n",
+ " <td id=\"T_eabbf_row37_col3\" class=\"data row37 col3\" >5.32</td>\n",
+ " <td id=\"T_eabbf_row37_col4\" class=\"data row37 col4\" >1.32</td>\n",
+ " <td id=\"T_eabbf_row37_col5\" class=\"data row37 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_eabbf_row38_col0\" class=\"data row38 col0\" >95.29</td>\n",
+ " <td id=\"T_eabbf_row38_col1\" class=\"data row38 col1\" >5.58</td>\n",
+ " <td id=\"T_eabbf_row38_col2\" class=\"data row38 col2\" >99.57</td>\n",
+ " <td id=\"T_eabbf_row38_col3\" class=\"data row38 col3\" >2.72</td>\n",
+ " <td id=\"T_eabbf_row38_col4\" class=\"data row38 col4\" >1.09</td>\n",
+ " <td id=\"T_eabbf_row38_col5\" class=\"data row38 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_eabbf_row39_col0\" class=\"data row39 col0\" >95.22</td>\n",
+ " <td id=\"T_eabbf_row39_col1\" class=\"data row39 col1\" >2.62</td>\n",
+ " <td id=\"T_eabbf_row39_col2\" class=\"data row39 col2\" >98.61</td>\n",
+ " <td id=\"T_eabbf_row39_col3\" class=\"data row39 col3\" >3.23</td>\n",
+ " <td id=\"T_eabbf_row39_col4\" class=\"data row39 col4\" >1.26</td>\n",
+ " <td id=\"T_eabbf_row39_col5\" class=\"data row39 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_eabbf_row40_col0\" class=\"data row40 col0\" >97.45</td>\n",
+ " <td id=\"T_eabbf_row40_col1\" class=\"data row40 col1\" >3.25</td>\n",
+ " <td id=\"T_eabbf_row40_col2\" class=\"data row40 col2\" >99.58</td>\n",
+ " <td id=\"T_eabbf_row40_col3\" class=\"data row40 col3\" >2.43</td>\n",
+ " <td id=\"T_eabbf_row40_col4\" class=\"data row40 col4\" >1.05</td>\n",
+ " <td id=\"T_eabbf_row40_col5\" class=\"data row40 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_eabbf_row41_col0\" class=\"data row41 col0\" >95.33</td>\n",
+ " <td id=\"T_eabbf_row41_col1\" class=\"data row41 col1\" >14.64</td>\n",
+ " <td id=\"T_eabbf_row41_col2\" class=\"data row41 col2\" >91.17</td>\n",
+ " <td id=\"T_eabbf_row41_col3\" class=\"data row41 col3\" >27.60</td>\n",
+ " <td id=\"T_eabbf_row41_col4\" class=\"data row41 col4\" >1.09</td>\n",
+ " <td id=\"T_eabbf_row41_col5\" class=\"data row41 col5\" >0.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_eabbf_row42_col0\" class=\"data row42 col0\" >95.20</td>\n",
+ " <td id=\"T_eabbf_row42_col1\" class=\"data row42 col1\" >3.11</td>\n",
+ " <td id=\"T_eabbf_row42_col2\" class=\"data row42 col2\" >99.04</td>\n",
+ " <td id=\"T_eabbf_row42_col3\" class=\"data row42 col3\" >1.96</td>\n",
+ " <td id=\"T_eabbf_row42_col4\" class=\"data row42 col4\" >1.26</td>\n",
+ " <td id=\"T_eabbf_row42_col5\" class=\"data row42 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_eabbf_row43_col0\" class=\"data row43 col0\" >94.87</td>\n",
+ " <td id=\"T_eabbf_row43_col1\" class=\"data row43 col1\" >2.76</td>\n",
+ " <td id=\"T_eabbf_row43_col2\" class=\"data row43 col2\" >98.65</td>\n",
+ " <td id=\"T_eabbf_row43_col3\" class=\"data row43 col3\" >4.06</td>\n",
+ " <td id=\"T_eabbf_row43_col4\" class=\"data row43 col4\" >1.25</td>\n",
+ " <td id=\"T_eabbf_row43_col5\" class=\"data row43 col5\" >0.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_eabbf_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_eabbf_row44_col0\" class=\"data row44 col0\" >97.84</td>\n",
+ " <td id=\"T_eabbf_row44_col1\" class=\"data row44 col1\" >2.04</td>\n",
+ " <td id=\"T_eabbf_row44_col2\" class=\"data row44 col2\" >99.43</td>\n",
+ " <td id=\"T_eabbf_row44_col3\" class=\"data row44 col3\" >2.12</td>\n",
+ " <td id=\"T_eabbf_row44_col4\" class=\"data row44 col4\" >1.20</td>\n",
+ " <td id=\"T_eabbf_row44_col5\" class=\"data row44 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_eabbf_row45_col0\" class=\"data row45 col0\" >98.21</td>\n",
+ " <td id=\"T_eabbf_row45_col1\" class=\"data row45 col1\" >2.72</td>\n",
+ " <td id=\"T_eabbf_row45_col2\" class=\"data row45 col2\" >99.97</td>\n",
+ " <td id=\"T_eabbf_row45_col3\" class=\"data row45 col3\" >0.27</td>\n",
+ " <td id=\"T_eabbf_row45_col4\" class=\"data row45 col4\" >1.16</td>\n",
+ " <td id=\"T_eabbf_row45_col5\" class=\"data row45 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_eabbf_row46_col0\" class=\"data row46 col0\" >96.82</td>\n",
+ " <td id=\"T_eabbf_row46_col1\" class=\"data row46 col1\" >2.38</td>\n",
+ " <td id=\"T_eabbf_row46_col2\" class=\"data row46 col2\" >99.46</td>\n",
+ " <td id=\"T_eabbf_row46_col3\" class=\"data row46 col3\" >1.45</td>\n",
+ " <td id=\"T_eabbf_row46_col4\" class=\"data row46 col4\" >1.24</td>\n",
+ " <td id=\"T_eabbf_row46_col5\" class=\"data row46 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_eabbf_row47_col0\" class=\"data row47 col0\" >96.52</td>\n",
+ " <td id=\"T_eabbf_row47_col1\" class=\"data row47 col1\" >4.51</td>\n",
+ " <td id=\"T_eabbf_row47_col2\" class=\"data row47 col2\" >97.94</td>\n",
+ " <td id=\"T_eabbf_row47_col3\" class=\"data row47 col3\" >14.00</td>\n",
+ " <td id=\"T_eabbf_row47_col4\" class=\"data row47 col4\" >1.04</td>\n",
+ " <td id=\"T_eabbf_row47_col5\" class=\"data row47 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_eabbf_row48_col0\" class=\"data row48 col0\" >98.15</td>\n",
+ " <td id=\"T_eabbf_row48_col1\" class=\"data row48 col1\" >1.89</td>\n",
+ " <td id=\"T_eabbf_row48_col2\" class=\"data row48 col2\" >99.77</td>\n",
+ " <td id=\"T_eabbf_row48_col3\" class=\"data row48 col3\" >0.78</td>\n",
+ " <td id=\"T_eabbf_row48_col4\" class=\"data row48 col4\" >1.18</td>\n",
+ " <td id=\"T_eabbf_row48_col5\" class=\"data row48 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_eabbf_row49_col0\" class=\"data row49 col0\" >98.82</td>\n",
+ " <td id=\"T_eabbf_row49_col1\" class=\"data row49 col1\" >2.68</td>\n",
+ " <td id=\"T_eabbf_row49_col2\" class=\"data row49 col2\" >99.84</td>\n",
+ " <td id=\"T_eabbf_row49_col3\" class=\"data row49 col3\" >1.63</td>\n",
+ " <td id=\"T_eabbf_row49_col4\" class=\"data row49 col4\" >1.14</td>\n",
+ " <td id=\"T_eabbf_row49_col5\" class=\"data row49 col5\" >0.10</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_eabbf_row50_col0\" class=\"data row50 col0\" >90.70</td>\n",
+ " <td id=\"T_eabbf_row50_col1\" class=\"data row50 col1\" >21.71</td>\n",
+ " <td id=\"T_eabbf_row50_col2\" class=\"data row50 col2\" >81.57</td>\n",
+ " <td id=\"T_eabbf_row50_col3\" class=\"data row50 col3\" >38.39</td>\n",
+ " <td id=\"T_eabbf_row50_col4\" class=\"data row50 col4\" >1.06</td>\n",
+ " <td id=\"T_eabbf_row50_col5\" class=\"data row50 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_eabbf_row51_col0\" class=\"data row51 col0\" >97.89</td>\n",
+ " <td id=\"T_eabbf_row51_col1\" class=\"data row51 col1\" >1.84</td>\n",
+ " <td id=\"T_eabbf_row51_col2\" class=\"data row51 col2\" >99.83</td>\n",
+ " <td id=\"T_eabbf_row51_col3\" class=\"data row51 col3\" >0.86</td>\n",
+ " <td id=\"T_eabbf_row51_col4\" class=\"data row51 col4\" >1.16</td>\n",
+ " <td id=\"T_eabbf_row51_col5\" class=\"data row51 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_eabbf_row52_col0\" class=\"data row52 col0\" >97.99</td>\n",
+ " <td id=\"T_eabbf_row52_col1\" class=\"data row52 col1\" >1.96</td>\n",
+ " <td id=\"T_eabbf_row52_col2\" class=\"data row52 col2\" >99.68</td>\n",
+ " <td id=\"T_eabbf_row52_col3\" class=\"data row52 col3\" >1.54</td>\n",
+ " <td id=\"T_eabbf_row52_col4\" class=\"data row52 col4\" >1.13</td>\n",
+ " <td id=\"T_eabbf_row52_col5\" class=\"data row52 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_eabbf_row53_col0\" class=\"data row53 col0\" >89.00</td>\n",
+ " <td id=\"T_eabbf_row53_col1\" class=\"data row53 col1\" >29.33</td>\n",
+ " <td id=\"T_eabbf_row53_col2\" class=\"data row53 col2\" >62.00</td>\n",
+ " <td id=\"T_eabbf_row53_col3\" class=\"data row53 col3\" >48.54</td>\n",
+ " <td id=\"T_eabbf_row53_col4\" class=\"data row53 col4\" >1.00</td>\n",
+ " <td id=\"T_eabbf_row53_col5\" class=\"data row53 col5\" >0.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_eabbf_row54_col0\" class=\"data row54 col0\" >97.64</td>\n",
+ " <td id=\"T_eabbf_row54_col1\" class=\"data row54 col1\" >2.15</td>\n",
+ " <td id=\"T_eabbf_row54_col2\" class=\"data row54 col2\" >99.83</td>\n",
+ " <td id=\"T_eabbf_row54_col3\" class=\"data row54 col3\" >0.85</td>\n",
+ " <td id=\"T_eabbf_row54_col4\" class=\"data row54 col4\" >1.14</td>\n",
+ " <td id=\"T_eabbf_row54_col5\" class=\"data row54 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_eabbf_row55_col0\" class=\"data row55 col0\" >98.02</td>\n",
+ " <td id=\"T_eabbf_row55_col1\" class=\"data row55 col1\" >2.08</td>\n",
+ " <td id=\"T_eabbf_row55_col2\" class=\"data row55 col2\" >99.84</td>\n",
+ " <td id=\"T_eabbf_row55_col3\" class=\"data row55 col3\" >0.73</td>\n",
+ " <td id=\"T_eabbf_row55_col4\" class=\"data row55 col4\" >1.17</td>\n",
+ " <td id=\"T_eabbf_row55_col5\" class=\"data row55 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_eabbf_row56_col0\" class=\"data row56 col0\" >95.45</td>\n",
+ " <td id=\"T_eabbf_row56_col1\" class=\"data row56 col1\" >11.24</td>\n",
+ " <td id=\"T_eabbf_row56_col2\" class=\"data row56 col2\" >97.17</td>\n",
+ " <td id=\"T_eabbf_row56_col3\" class=\"data row56 col3\" >14.46</td>\n",
+ " <td id=\"T_eabbf_row56_col4\" class=\"data row56 col4\" >1.08</td>\n",
+ " <td id=\"T_eabbf_row56_col5\" class=\"data row56 col5\" >0.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_eabbf_row57_col0\" class=\"data row57 col0\" >97.92</td>\n",
+ " <td id=\"T_eabbf_row57_col1\" class=\"data row57 col1\" >2.75</td>\n",
+ " <td id=\"T_eabbf_row57_col2\" class=\"data row57 col2\" >99.34</td>\n",
+ " <td id=\"T_eabbf_row57_col3\" class=\"data row57 col3\" >3.32</td>\n",
+ " <td id=\"T_eabbf_row57_col4\" class=\"data row57 col4\" >1.24</td>\n",
+ " <td id=\"T_eabbf_row57_col5\" class=\"data row57 col5\" >0.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_eabbf_row58_col0\" class=\"data row58 col0\" >96.95</td>\n",
+ " <td id=\"T_eabbf_row58_col1\" class=\"data row58 col1\" >2.32</td>\n",
+ " <td id=\"T_eabbf_row58_col2\" class=\"data row58 col2\" >99.51</td>\n",
+ " <td id=\"T_eabbf_row58_col3\" class=\"data row58 col3\" >1.46</td>\n",
+ " <td id=\"T_eabbf_row58_col4\" class=\"data row58 col4\" >1.19</td>\n",
+ " <td id=\"T_eabbf_row58_col5\" class=\"data row58 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_eabbf_row59_col0\" class=\"data row59 col0\" >96.84</td>\n",
+ " <td id=\"T_eabbf_row59_col1\" class=\"data row59 col1\" >2.37</td>\n",
+ " <td id=\"T_eabbf_row59_col2\" class=\"data row59 col2\" >99.59</td>\n",
+ " <td id=\"T_eabbf_row59_col3\" class=\"data row59 col3\" >2.64</td>\n",
+ " <td id=\"T_eabbf_row59_col4\" class=\"data row59 col4\" >1.16</td>\n",
+ " <td id=\"T_eabbf_row59_col5\" class=\"data row59 col5\" >0.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_eabbf_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_eabbf_row60_col0\" class=\"data row60 col0\" >99.21</td>\n",
+ " <td id=\"T_eabbf_row60_col1\" class=\"data row60 col1\" >1.48</td>\n",
+ " <td id=\"T_eabbf_row60_col2\" class=\"data row60 col2\" >99.82</td>\n",
+ " <td id=\"T_eabbf_row60_col3\" class=\"data row60 col3\" >1.12</td>\n",
+ " <td id=\"T_eabbf_row60_col4\" class=\"data row60 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row60_col5\" class=\"data row60 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_eabbf_row61_col0\" class=\"data row61 col0\" >99.21</td>\n",
+ " <td id=\"T_eabbf_row61_col1\" class=\"data row61 col1\" >2.37</td>\n",
+ " <td id=\"T_eabbf_row61_col2\" class=\"data row61 col2\" >99.70</td>\n",
+ " <td id=\"T_eabbf_row61_col3\" class=\"data row61 col3\" >2.08</td>\n",
+ " <td id=\"T_eabbf_row61_col4\" class=\"data row61 col4\" >1.15</td>\n",
+ " <td id=\"T_eabbf_row61_col5\" class=\"data row61 col5\" >0.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_eabbf_row62_col0\" class=\"data row62 col0\" >98.81</td>\n",
+ " <td id=\"T_eabbf_row62_col1\" class=\"data row62 col1\" >1.77</td>\n",
+ " <td id=\"T_eabbf_row62_col2\" class=\"data row62 col2\" >99.92</td>\n",
+ " <td id=\"T_eabbf_row62_col3\" class=\"data row62 col3\" >0.58</td>\n",
+ " <td id=\"T_eabbf_row62_col4\" class=\"data row62 col4\" >1.12</td>\n",
+ " <td id=\"T_eabbf_row62_col5\" class=\"data row62 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_eabbf_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_eabbf_row63_col0\" class=\"data row63 col0\" >98.66</td>\n",
+ " <td id=\"T_eabbf_row63_col1\" class=\"data row63 col1\" >1.92</td>\n",
+ " <td id=\"T_eabbf_row63_col2\" class=\"data row63 col2\" >100.00</td>\n",
+ " <td id=\"T_eabbf_row63_col3\" class=\"data row63 col3\" >0.00</td>\n",
+ " <td id=\"T_eabbf_row63_col4\" class=\"data row63 col4\" >1.11</td>\n",
+ " <td id=\"T_eabbf_row63_col5\" class=\"data row63 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfc3b350>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_d72cb td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_d72cb th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_d72cb_row0_col0, #T_d72cb_row0_col2, #T_d72cb_row15_col0, #T_d72cb_row15_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row0_col4, #T_d72cb_row15_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row1_col0 {\n",
+ " background-color: #d3f5d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row1_col2 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row1_col4 {\n",
+ " background-color: #fd2a2a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row2_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row2_col2 {\n",
+ " background-color: #c9f5c9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row2_col4 {\n",
+ " background-color: #fb5757;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row3_col0, #T_d72cb_row4_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row3_col2 {\n",
+ " background-color: #daf4da;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row3_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row4_col0 {\n",
+ " background-color: #d4f4d4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row4_col4 {\n",
+ " background-color: #fe1212;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row5_col0 {\n",
+ " background-color: #abf7ab;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row5_col2 {\n",
+ " background-color: #90f990;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row5_col4 {\n",
+ " background-color: #fa5b5b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row6_col0 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row6_col2 {\n",
+ " background-color: #5efc5e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row6_col4 {\n",
+ " background-color: #f96f6f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row7_col0 {\n",
+ " background-color: #8cf98c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row7_col2, #T_d72cb_row12_col0, #T_d72cb_row14_col2 {\n",
+ " background-color: #55fd55;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row7_col4 {\n",
+ " background-color: #f88383;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row8_col0 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row8_col2 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row8_col4 {\n",
+ " background-color: #fc3838;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row9_col0 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row9_col2 {\n",
+ " background-color: #93f993;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row9_col4 {\n",
+ " background-color: #fa6565;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row10_col0 {\n",
+ " background-color: #b1f7b1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row10_col2 {\n",
+ " background-color: #79fa79;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row10_col4 {\n",
+ " background-color: #f97979;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_d72cb_row11_col0 {\n",
+ " background-color: #6dfb6d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row11_col2 {\n",
+ " background-color: #4afe4a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row11_col4 {\n",
+ " background-color: #f79f9f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row12_col2 {\n",
+ " background-color: #3cfe3c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row12_col4 {\n",
+ " background-color: #f5c1c1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row13_col0 {\n",
+ " background-color: #5afc5a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row13_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row13_col4 {\n",
+ " background-color: #f4d6d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row14_col0 {\n",
+ " background-color: #77fb77;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_d72cb_row14_col4 {\n",
+ " background-color: #f6aeae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_d72cb\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_d72cb_level0_col0\" class=\"col_heading level0 col0\" colspan=\"4\">% of load of jobs/services bidded</th>\n",
+ " <th id=\"T_d72cb_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\"></th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_d72cb_level1_col0\" class=\"col_heading level1 col0\" colspan=\"2\">Completed service</th>\n",
+ " <th id=\"T_d72cb_level1_col2\" class=\"col_heading level1 col2\" colspan=\"2\">Before due</th>\n",
+ " <th id=\"T_d72cb_level1_col4\" class=\"col_heading level1 col4\" colspan=\"2\">Slowdown</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level2\" > </th>\n",
+ " <th id=\"T_d72cb_level2_col0\" class=\"col_heading level2 col0\" >Value</th>\n",
+ " <th id=\"T_d72cb_level2_col1\" class=\"col_heading level2 col1\" >Std</th>\n",
+ " <th id=\"T_d72cb_level2_col2\" class=\"col_heading level2 col2\" >Value</th>\n",
+ " <th id=\"T_d72cb_level2_col3\" class=\"col_heading level2 col3\" >Std</th>\n",
+ " <th id=\"T_d72cb_level2_col4\" class=\"col_heading level2 col4\" >Value</th>\n",
+ " <th id=\"T_d72cb_level2_col5\" class=\"col_heading level2 col5\" >Std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_d72cb_row0_col0\" class=\"data row0 col0\" >98.91</td>\n",
+ " <td id=\"T_d72cb_row0_col1\" class=\"data row0 col1\" >0.95</td>\n",
+ " <td id=\"T_d72cb_row0_col2\" class=\"data row0 col2\" >99.89</td>\n",
+ " <td id=\"T_d72cb_row0_col3\" class=\"data row0 col3\" >0.46</td>\n",
+ " <td id=\"T_d72cb_row0_col4\" class=\"data row0 col4\" >1.12</td>\n",
+ " <td id=\"T_d72cb_row0_col5\" class=\"data row0 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_d72cb_row1_col0\" class=\"data row1 col0\" >94.64</td>\n",
+ " <td id=\"T_d72cb_row1_col1\" class=\"data row1 col1\" >1.70</td>\n",
+ " <td id=\"T_d72cb_row1_col2\" class=\"data row1 col2\" >97.79</td>\n",
+ " <td id=\"T_d72cb_row1_col3\" class=\"data row1 col3\" >1.94</td>\n",
+ " <td id=\"T_d72cb_row1_col4\" class=\"data row1 col4\" >1.31</td>\n",
+ " <td id=\"T_d72cb_row1_col5\" class=\"data row1 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_d72cb_row2_col0\" class=\"data row2 col0\" >94.73</td>\n",
+ " <td id=\"T_d72cb_row2_col1\" class=\"data row2 col1\" >1.74</td>\n",
+ " <td id=\"T_d72cb_row2_col2\" class=\"data row2 col2\" >97.90</td>\n",
+ " <td id=\"T_d72cb_row2_col3\" class=\"data row2 col3\" >2.62</td>\n",
+ " <td id=\"T_d72cb_row2_col4\" class=\"data row2 col4\" >1.27</td>\n",
+ " <td id=\"T_d72cb_row2_col5\" class=\"data row2 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_d72cb_row3_col0\" class=\"data row3 col0\" >93.99</td>\n",
+ " <td id=\"T_d72cb_row3_col1\" class=\"data row3 col1\" >1.69</td>\n",
+ " <td id=\"T_d72cb_row3_col2\" class=\"data row3 col2\" >97.67</td>\n",
+ " <td id=\"T_d72cb_row3_col3\" class=\"data row3 col3\" >2.54</td>\n",
+ " <td id=\"T_d72cb_row3_col4\" class=\"data row3 col4\" >1.35</td>\n",
+ " <td id=\"T_d72cb_row3_col5\" class=\"data row3 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_d72cb_row4_col0\" class=\"data row4 col0\" >94.59</td>\n",
+ " <td id=\"T_d72cb_row4_col1\" class=\"data row4 col1\" >1.80</td>\n",
+ " <td id=\"T_d72cb_row4_col2\" class=\"data row4 col2\" >97.44</td>\n",
+ " <td id=\"T_d72cb_row4_col3\" class=\"data row4 col3\" >3.01</td>\n",
+ " <td id=\"T_d72cb_row4_col4\" class=\"data row4 col4\" >1.33</td>\n",
+ " <td id=\"T_d72cb_row4_col5\" class=\"data row4 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_d72cb_row5_col0\" class=\"data row5 col0\" >95.71</td>\n",
+ " <td id=\"T_d72cb_row5_col1\" class=\"data row5 col1\" >1.82</td>\n",
+ " <td id=\"T_d72cb_row5_col2\" class=\"data row5 col2\" >98.67</td>\n",
+ " <td id=\"T_d72cb_row5_col3\" class=\"data row5 col3\" >1.42</td>\n",
+ " <td id=\"T_d72cb_row5_col4\" class=\"data row5 col4\" >1.26</td>\n",
+ " <td id=\"T_d72cb_row5_col5\" class=\"data row5 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_d72cb_row6_col0\" class=\"data row6 col0\" >95.96</td>\n",
+ " <td id=\"T_d72cb_row6_col1\" class=\"data row6 col1\" >1.56</td>\n",
+ " <td id=\"T_d72cb_row6_col2\" class=\"data row6 col2\" >99.33</td>\n",
+ " <td id=\"T_d72cb_row6_col3\" class=\"data row6 col3\" >1.00</td>\n",
+ " <td id=\"T_d72cb_row6_col4\" class=\"data row6 col4\" >1.24</td>\n",
+ " <td id=\"T_d72cb_row6_col5\" class=\"data row6 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_d72cb_row7_col0\" class=\"data row7 col0\" >96.54</td>\n",
+ " <td id=\"T_d72cb_row7_col1\" class=\"data row7 col1\" >1.44</td>\n",
+ " <td id=\"T_d72cb_row7_col2\" class=\"data row7 col2\" >99.45</td>\n",
+ " <td id=\"T_d72cb_row7_col3\" class=\"data row7 col3\" >1.20</td>\n",
+ " <td id=\"T_d72cb_row7_col4\" class=\"data row7 col4\" >1.22</td>\n",
+ " <td id=\"T_d72cb_row7_col5\" class=\"data row7 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_d72cb_row8_col0\" class=\"data row8 col0\" >95.16</td>\n",
+ " <td id=\"T_d72cb_row8_col1\" class=\"data row8 col1\" >1.60</td>\n",
+ " <td id=\"T_d72cb_row8_col2\" class=\"data row8 col2\" >98.70</td>\n",
+ " <td id=\"T_d72cb_row8_col3\" class=\"data row8 col3\" >1.72</td>\n",
+ " <td id=\"T_d72cb_row8_col4\" class=\"data row8 col4\" >1.30</td>\n",
+ " <td id=\"T_d72cb_row8_col5\" class=\"data row8 col5\" >0.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_d72cb_row9_col0\" class=\"data row9 col0\" >96.03</td>\n",
+ " <td id=\"T_d72cb_row9_col1\" class=\"data row9 col1\" >1.76</td>\n",
+ " <td id=\"T_d72cb_row9_col2\" class=\"data row9 col2\" >98.61</td>\n",
+ " <td id=\"T_d72cb_row9_col3\" class=\"data row9 col3\" >2.36</td>\n",
+ " <td id=\"T_d72cb_row9_col4\" class=\"data row9 col4\" >1.25</td>\n",
+ " <td id=\"T_d72cb_row9_col5\" class=\"data row9 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_d72cb_row10_col0\" class=\"data row10 col0\" >95.56</td>\n",
+ " <td id=\"T_d72cb_row10_col1\" class=\"data row10 col1\" >1.64</td>\n",
+ " <td id=\"T_d72cb_row10_col2\" class=\"data row10 col2\" >98.96</td>\n",
+ " <td id=\"T_d72cb_row10_col3\" class=\"data row10 col3\" >1.88</td>\n",
+ " <td id=\"T_d72cb_row10_col4\" class=\"data row10 col4\" >1.23</td>\n",
+ " <td id=\"T_d72cb_row10_col5\" class=\"data row10 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_d72cb_row11_col0\" class=\"data row11 col0\" >97.38</td>\n",
+ " <td id=\"T_d72cb_row11_col1\" class=\"data row11 col1\" >1.39</td>\n",
+ " <td id=\"T_d72cb_row11_col2\" class=\"data row11 col2\" >99.59</td>\n",
+ " <td id=\"T_d72cb_row11_col3\" class=\"data row11 col3\" >0.83</td>\n",
+ " <td id=\"T_d72cb_row11_col4\" class=\"data row11 col4\" >1.20</td>\n",
+ " <td id=\"T_d72cb_row11_col5\" class=\"data row11 col5\" >0.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_d72cb_row12_col0\" class=\"data row12 col0\" >98.01</td>\n",
+ " <td id=\"T_d72cb_row12_col1\" class=\"data row12 col1\" >1.21</td>\n",
+ " <td id=\"T_d72cb_row12_col2\" class=\"data row12 col2\" >99.78</td>\n",
+ " <td id=\"T_d72cb_row12_col3\" class=\"data row12 col3\" >0.66</td>\n",
+ " <td id=\"T_d72cb_row12_col4\" class=\"data row12 col4\" >1.17</td>\n",
+ " <td id=\"T_d72cb_row12_col5\" class=\"data row12 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_d72cb_row13_col0\" class=\"data row13 col0\" >97.88</td>\n",
+ " <td id=\"T_d72cb_row13_col1\" class=\"data row13 col1\" >1.27</td>\n",
+ " <td id=\"T_d72cb_row13_col2\" class=\"data row13 col2\" >99.77</td>\n",
+ " <td id=\"T_d72cb_row13_col3\" class=\"data row13 col3\" >0.77</td>\n",
+ " <td id=\"T_d72cb_row13_col4\" class=\"data row13 col4\" >1.15</td>\n",
+ " <td id=\"T_d72cb_row13_col5\" class=\"data row13 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_d72cb_row14_col0\" class=\"data row14 col0\" >97.10</td>\n",
+ " <td id=\"T_d72cb_row14_col1\" class=\"data row14 col1\" >1.41</td>\n",
+ " <td id=\"T_d72cb_row14_col2\" class=\"data row14 col2\" >99.45</td>\n",
+ " <td id=\"T_d72cb_row14_col3\" class=\"data row14 col3\" >1.59</td>\n",
+ " <td id=\"T_d72cb_row14_col4\" class=\"data row14 col4\" >1.18</td>\n",
+ " <td id=\"T_d72cb_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_d72cb_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_d72cb_row15_col0\" class=\"data row15 col0\" >98.91</td>\n",
+ " <td id=\"T_d72cb_row15_col1\" class=\"data row15 col1\" >0.95</td>\n",
+ " <td id=\"T_d72cb_row15_col2\" class=\"data row15 col2\" >99.89</td>\n",
+ " <td id=\"T_d72cb_row15_col3\" class=\"data row15 col3\" >0.46</td>\n",
+ " <td id=\"T_d72cb_row15_col4\" class=\"data row15 col4\" >1.12</td>\n",
+ " <td id=\"T_d72cb_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7151380a0bd0>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "analysis_plot.draw_table_qos(\"small\", tables_type=\"both\", simplified=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/fontana/workspace/python_projects/cooperative-vs-non-cooperative-marketplace/Analysis/../GenerateVisualisation/experiments_analysis.py:1160: RuntimeWarning: invalid value encountered in divide\n",
+ " ratio_benefits_energy_used = np.nan_to_num(total_benefits / energy_used_by_dc)\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_c66b1 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_c66b1 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_c66b1_row0_col0, #T_c66b1_row2_col0 {\n",
+ " background-color: #9af89a;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row0_col2 {\n",
+ " background-color: #a4f8a4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row0_col4, #T_c66b1_row60_col4 {\n",
+ " background-color: #fa5b5b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row1_col0, #T_c66b1_row15_col0, #T_c66b1_row16_col0, #T_c66b1_row24_col0, #T_c66b1_row51_col0 {\n",
+ " background-color: #bdf6bd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row1_col2 {\n",
+ " background-color: #aef7ae;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row1_col4, #T_c66b1_row11_col4, #T_c66b1_row61_col4 {\n",
+ " background-color: #fb4949;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row2_col2 {\n",
+ " background-color: #95f995;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row2_col4, #T_c66b1_row44_col4, #T_c66b1_row62_col4 {\n",
+ " background-color: #f97878;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row3_col0, #T_c66b1_row20_col0 {\n",
+ " background-color: #92f992;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row3_col2 {\n",
+ " background-color: #9ff89f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row3_col4, #T_c66b1_row63_col4 {\n",
+ " background-color: #fa6464;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row4_col0, #T_c66b1_row14_col0 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row4_col2 {\n",
+ " background-color: #54fd54;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row4_col4 {\n",
+ " background-color: #f6b9b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row5_col0, #T_c66b1_row27_col2 {\n",
+ " background-color: #d7f4d7;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row5_col2 {\n",
+ " background-color: #d0f5d0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row5_col4, #T_c66b1_row32_col4 {\n",
+ " background-color: #fd1f1f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row6_col0, #T_c66b1_row7_col2, #T_c66b1_row12_col0, #T_c66b1_row28_col2, #T_c66b1_row37_col2 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row6_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row6_col4 {\n",
+ " background-color: #fb4848;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row7_col0 {\n",
+ " background-color: #baf6ba;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row7_col4 {\n",
+ " background-color: #fc3f3f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row8_col0 {\n",
+ " background-color: #b5f6b5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row8_col2, #T_c66b1_row28_col0 {\n",
+ " background-color: #bcf6bc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row8_col4 {\n",
+ " background-color: #fc3b3b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row9_col0 {\n",
+ " background-color: #76fb76;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row9_col2 {\n",
+ " background-color: #51fd51;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row9_col4 {\n",
+ " background-color: #f5bdbd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row10_col0, #T_c66b1_row26_col0 {\n",
+ " background-color: #b8f6b8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row10_col2, #T_c66b1_row26_col2 {\n",
+ " background-color: #b4f7b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row10_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row11_col0 {\n",
+ " background-color: #b0f7b0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row11_col2 {\n",
+ " background-color: #b9f6b9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row12_col2, #T_c66b1_row43_col0 {\n",
+ " background-color: #c8f5c8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row12_col4, #T_c66b1_row18_col4 {\n",
+ " background-color: #fd3030;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row13_col0, #T_c66b1_row40_col2, #T_c66b1_row44_col2, #T_c66b1_row48_col2 {\n",
+ " background-color: #d6f4d6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row13_col2, #T_c66b1_row23_col2, #T_c66b1_row32_col0 {\n",
+ " background-color: #cff5cf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row13_col4 {\n",
+ " background-color: #fd2525;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row14_col2, #T_c66b1_row19_col0 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row14_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row15_col2, #T_c66b1_row51_col2 {\n",
+ " background-color: #c5f5c5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row15_col4 {\n",
+ " background-color: #fc3838;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row16_col2, #T_c66b1_row24_col2, #T_c66b1_row33_col2 {\n",
+ " background-color: #c3f6c3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row16_col4 {\n",
+ " background-color: #fc3737;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row17_col0 {\n",
+ " background-color: #d5f4d5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row17_col2, #T_c66b1_row33_col0, #T_c66b1_row35_col0, #T_c66b1_row36_col0, #T_c66b1_row42_col0 {\n",
+ " background-color: #cdf5cd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row17_col4 {\n",
+ " background-color: #fd2626;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row18_col0, #T_c66b1_row22_col2, #T_c66b1_row37_col0, #T_c66b1_row46_col0 {\n",
+ " background-color: #ccf5cc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row18_col2, #T_c66b1_row23_col0, #T_c66b1_row46_col2 {\n",
+ " background-color: #caf5ca;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row19_col2 {\n",
+ " background-color: #4efd4e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row19_col4, #T_c66b1_row34_col4 {\n",
+ " background-color: #f5cccc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row20_col2 {\n",
+ " background-color: #9df89c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row20_col4 {\n",
+ " background-color: #f79c9c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row21_col0, #T_c66b1_row42_col2 {\n",
+ " background-color: #cbf5cb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row21_col2 {\n",
+ " background-color: #c0f6c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row21_col4 {\n",
+ " background-color: #f88484;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row22_col0, #T_c66b1_row43_col2 {\n",
+ " background-color: #cef5ce;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row22_col4 {\n",
+ " background-color: #fc3434;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row23_col4 {\n",
+ " background-color: #fd2d2d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row24_col4 {\n",
+ " background-color: #f88e8e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row25_col0, #T_c66b1_row60_col2, #T_c66b1_row63_col0 {\n",
+ " background-color: #e4f3e4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row25_col2 {\n",
+ " background-color: #e1f4e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row25_col4 {\n",
+ " background-color: #ff0808;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row26_col4 {\n",
+ " background-color: #f5bcbc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row27_col0, #T_c66b1_row40_col0, #T_c66b1_row44_col0 {\n",
+ " background-color: #d3f5d3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row27_col4 {\n",
+ " background-color: #fd1e1e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row28_col4, #T_c66b1_row51_col4 {\n",
+ " background-color: #f89292;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row29_col0, #T_c66b1_row49_col0, #T_c66b1_row60_col0 {\n",
+ " background-color: #e3f3e3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row29_col2, #T_c66b1_row30_col0, #T_c66b1_row41_col0 {\n",
+ " background-color: #dff4df;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row29_col4 {\n",
+ " background-color: #ff0909;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row30_col2, #T_c66b1_row55_col0, #T_c66b1_row56_col2 {\n",
+ " background-color: #def4de;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row30_col4 {\n",
+ " background-color: #fe1212;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row31_col0 {\n",
+ " background-color: #a8f7a8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row31_col2 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row31_col4 {\n",
+ " background-color: #f7a5a5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row32_col2, #T_c66b1_row35_col2 {\n",
+ " background-color: #d2f5d2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row33_col4 {\n",
+ " background-color: #f88c8c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row34_col0 {\n",
+ " background-color: #8df98d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row34_col2 {\n",
+ " background-color: #87fa87;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row35_col4 {\n",
+ " background-color: #fd2424;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row36_col2, #T_c66b1_row48_col0 {\n",
+ " background-color: #d1f5d1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row36_col4 {\n",
+ " background-color: #fd2323;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row37_col4 {\n",
+ " background-color: #f88b8b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row38_col0, #T_c66b1_row47_col0 {\n",
+ " background-color: #d9f4d9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row38_col2, #T_c66b1_row59_col0 {\n",
+ " background-color: #d8f4d8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row38_col4 {\n",
+ " background-color: #fe1919;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row39_col0 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row39_col2 {\n",
+ " background-color: #8ef98e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row39_col4 {\n",
+ " background-color: #f6b3b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row40_col4 {\n",
+ " background-color: #fe1b1b;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row41_col2, #T_c66b1_row52_col0 {\n",
+ " background-color: #daf4da;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row41_col4 {\n",
+ " background-color: #fe1616;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row42_col4 {\n",
+ " background-color: #f6b4b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row43_col4 {\n",
+ " background-color: #f88a8a;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row45_col0 {\n",
+ " background-color: #e5f3e5;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row45_col2 {\n",
+ " background-color: #e2f4e2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row45_col4 {\n",
+ " background-color: #fa5e5e;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row46_col4 {\n",
+ " background-color: #f7a3a3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row47_col2, #T_c66b1_row52_col2 {\n",
+ " background-color: #ddf4dd;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row47_col4 {\n",
+ " background-color: #fe1414;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row48_col4 {\n",
+ " background-color: #f97979;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row49_col2, #T_c66b1_row57_col0 {\n",
+ " background-color: #e0f4e0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row49_col4 {\n",
+ " background-color: #fa6060;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row50_col0, #T_c66b1_row50_col2, #T_c66b1_row53_col2, #T_c66b1_row54_col0, #T_c66b1_row54_col2, #T_c66b1_row63_col2 {\n",
+ " background-color: #e6f3e6;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row50_col4 {\n",
+ " background-color: #ff0505;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row52_col4 {\n",
+ " background-color: #f96f6f;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row53_col0 {\n",
+ " background-color: #e8f3e8;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row53_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row54_col4 {\n",
+ " background-color: #f88888;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row55_col2 {\n",
+ " background-color: #e1f4e1;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row55_col4 {\n",
+ " background-color: #f97272;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row56_col0, #T_c66b1_row58_col2, #T_c66b1_row59_col2 {\n",
+ " background-color: #dcf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row56_col4 {\n",
+ " background-color: #fe1010;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row57_col2 {\n",
+ " background-color: #dbf4db;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row57_col4 {\n",
+ " background-color: #fa6868;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row58_col0 {\n",
+ " background-color: #dcf4dc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row58_col4 {\n",
+ " background-color: #f79595;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row59_col4 {\n",
+ " background-color: #f97c7c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_c66b1_row61_col0, #T_c66b1_row62_col0, #T_c66b1_row62_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_c66b1_row61_col2 {\n",
+ " background-color: #e9f3e9;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_c66b1\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_c66b1_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_c66b1_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_c66b1_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank\" > </th>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_c66b1_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_c66b1_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_c66b1_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_c66b1_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_c66b1_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_c66b1_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"4\">Cooperative</th>\n",
+ " <th id=\"T_c66b1_level1_row0\" class=\"row_heading level1 row0\" >0</th>\n",
+ " <td id=\"T_c66b1_row0_col0\" class=\"data row0 col0\" >12.78</td>\n",
+ " <td id=\"T_c66b1_row0_col1\" class=\"data row0 col1\" >1.63</td>\n",
+ " <td id=\"T_c66b1_row0_col2\" class=\"data row0 col2\" >0.82</td>\n",
+ " <td id=\"T_c66b1_row0_col3\" class=\"data row0 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row0_col4\" class=\"data row0 col4\" >66.00</td>\n",
+ " <td id=\"T_c66b1_row0_col5\" class=\"data row0 col5\" >5.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n",
+ " <td id=\"T_c66b1_row1_col0\" class=\"data row1 col0\" >7.43</td>\n",
+ " <td id=\"T_c66b1_row1_col1\" class=\"data row1 col1\" >1.40</td>\n",
+ " <td id=\"T_c66b1_row1_col2\" class=\"data row1 col2\" >0.70</td>\n",
+ " <td id=\"T_c66b1_row1_col3\" class=\"data row1 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row1_col4\" class=\"data row1 col4\" >71.19</td>\n",
+ " <td id=\"T_c66b1_row1_col5\" class=\"data row1 col5\" >7.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n",
+ " <td id=\"T_c66b1_row2_col0\" class=\"data row2 col0\" >12.84</td>\n",
+ " <td id=\"T_c66b1_row2_col1\" class=\"data row2 col1\" >1.73</td>\n",
+ " <td id=\"T_c66b1_row2_col2\" class=\"data row2 col2\" >0.99</td>\n",
+ " <td id=\"T_c66b1_row2_col3\" class=\"data row2 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row2_col4\" class=\"data row2 col4\" >57.52</td>\n",
+ " <td id=\"T_c66b1_row2_col5\" class=\"data row2 col5\" >6.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row3\" class=\"row_heading level1 row3\" >3</th>\n",
+ " <td id=\"T_c66b1_row3_col0\" class=\"data row3 col0\" >13.97</td>\n",
+ " <td id=\"T_c66b1_row3_col1\" class=\"data row3 col1\" >1.77</td>\n",
+ " <td id=\"T_c66b1_row3_col2\" class=\"data row3 col2\" >0.87</td>\n",
+ " <td id=\"T_c66b1_row3_col3\" class=\"data row3 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row3_col4\" class=\"data row3 col4\" >63.24</td>\n",
+ " <td id=\"T_c66b1_row3_col5\" class=\"data row3 col5\" >6.48</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"4\">25% (1 0 0 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row4\" class=\"row_heading level1 row4\" >0</th>\n",
+ " <td id=\"T_c66b1_row4_col0\" class=\"data row4 col0\" >26.29</td>\n",
+ " <td id=\"T_c66b1_row4_col1\" class=\"data row4 col1\" >2.58</td>\n",
+ " <td id=\"T_c66b1_row4_col2\" class=\"data row4 col2\" >1.68</td>\n",
+ " <td id=\"T_c66b1_row4_col3\" class=\"data row4 col3\" >0.16</td>\n",
+ " <td id=\"T_c66b1_row4_col4\" class=\"data row4 col4\" >37.59</td>\n",
+ " <td id=\"T_c66b1_row4_col5\" class=\"data row4 col5\" >6.06</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n",
+ " <td id=\"T_c66b1_row5_col0\" class=\"data row5 col0\" >3.58</td>\n",
+ " <td id=\"T_c66b1_row5_col1\" class=\"data row5 col1\" >1.19</td>\n",
+ " <td id=\"T_c66b1_row5_col2\" class=\"data row5 col2\" >0.34</td>\n",
+ " <td id=\"T_c66b1_row5_col3\" class=\"data row5 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row5_col4\" class=\"data row5 col4\" >84.14</td>\n",
+ " <td id=\"T_c66b1_row5_col5\" class=\"data row5 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n",
+ " <td id=\"T_c66b1_row6_col0\" class=\"data row6 col0\" >6.79</td>\n",
+ " <td id=\"T_c66b1_row6_col1\" class=\"data row6 col1\" >1.44</td>\n",
+ " <td id=\"T_c66b1_row6_col2\" class=\"data row6 col2\" >0.52</td>\n",
+ " <td id=\"T_c66b1_row6_col3\" class=\"data row6 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row6_col4\" class=\"data row6 col4\" >71.65</td>\n",
+ " <td id=\"T_c66b1_row6_col5\" class=\"data row6 col5\" >6.39</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row7\" class=\"row_heading level1 row7\" >3</th>\n",
+ " <td id=\"T_c66b1_row7_col0\" class=\"data row7 col0\" >7.96</td>\n",
+ " <td id=\"T_c66b1_row7_col1\" class=\"data row7 col1\" >1.44</td>\n",
+ " <td id=\"T_c66b1_row7_col2\" class=\"data row7 col2\" >0.50</td>\n",
+ " <td id=\"T_c66b1_row7_col3\" class=\"data row7 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row7_col4\" class=\"data row7 col4\" >74.51</td>\n",
+ " <td id=\"T_c66b1_row7_col5\" class=\"data row7 col5\" >6.16</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"4\">25% (0 1 0 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row8\" class=\"row_heading level1 row8\" >0</th>\n",
+ " <td id=\"T_c66b1_row8_col0\" class=\"data row8 col0\" >8.69</td>\n",
+ " <td id=\"T_c66b1_row8_col1\" class=\"data row8 col1\" >1.59</td>\n",
+ " <td id=\"T_c66b1_row8_col2\" class=\"data row8 col2\" >0.56</td>\n",
+ " <td id=\"T_c66b1_row8_col3\" class=\"data row8 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row8_col4\" class=\"data row8 col4\" >75.41</td>\n",
+ " <td id=\"T_c66b1_row8_col5\" class=\"data row8 col5\" >5.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n",
+ " <td id=\"T_c66b1_row9_col0\" class=\"data row9 col0\" >18.16</td>\n",
+ " <td id=\"T_c66b1_row9_col1\" class=\"data row9 col1\" >2.30</td>\n",
+ " <td id=\"T_c66b1_row9_col2\" class=\"data row9 col2\" >1.71</td>\n",
+ " <td id=\"T_c66b1_row9_col3\" class=\"data row9 col3\" >0.22</td>\n",
+ " <td id=\"T_c66b1_row9_col4\" class=\"data row9 col4\" >36.49</td>\n",
+ " <td id=\"T_c66b1_row9_col5\" class=\"data row9 col5\" >7.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n",
+ " <td id=\"T_c66b1_row10_col0\" class=\"data row10 col0\" >8.35</td>\n",
+ " <td id=\"T_c66b1_row10_col1\" class=\"data row10 col1\" >1.57</td>\n",
+ " <td id=\"T_c66b1_row10_col2\" class=\"data row10 col2\" >0.64</td>\n",
+ " <td id=\"T_c66b1_row10_col3\" class=\"data row10 col3\" >0.12</td>\n",
+ " <td id=\"T_c66b1_row10_col4\" class=\"data row10 col4\" >68.57</td>\n",
+ " <td id=\"T_c66b1_row10_col5\" class=\"data row10 col5\" >6.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row11\" class=\"row_heading level1 row11\" >3</th>\n",
+ " <td id=\"T_c66b1_row11_col0\" class=\"data row11 col0\" >9.48</td>\n",
+ " <td id=\"T_c66b1_row11_col1\" class=\"data row11 col1\" >1.49</td>\n",
+ " <td id=\"T_c66b1_row11_col2\" class=\"data row11 col2\" >0.59</td>\n",
+ " <td id=\"T_c66b1_row11_col3\" class=\"data row11 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row11_col4\" class=\"data row11 col4\" >71.16</td>\n",
+ " <td id=\"T_c66b1_row11_col5\" class=\"data row11 col5\" >6.29</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"4\">25% (0 0 1 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row12\" class=\"row_heading level1 row12\" >0</th>\n",
+ " <td id=\"T_c66b1_row12_col0\" class=\"data row12 col0\" >6.69</td>\n",
+ " <td id=\"T_c66b1_row12_col1\" class=\"data row12 col1\" >1.70</td>\n",
+ " <td id=\"T_c66b1_row12_col2\" class=\"data row12 col2\" >0.43</td>\n",
+ " <td id=\"T_c66b1_row12_col3\" class=\"data row12 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row12_col4\" class=\"data row12 col4\" >78.81</td>\n",
+ " <td id=\"T_c66b1_row12_col5\" class=\"data row12 col5\" >6.13</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n",
+ " <td id=\"T_c66b1_row13_col0\" class=\"data row13 col0\" >3.71</td>\n",
+ " <td id=\"T_c66b1_row13_col1\" class=\"data row13 col1\" >1.34</td>\n",
+ " <td id=\"T_c66b1_row13_col2\" class=\"data row13 col2\" >0.35</td>\n",
+ " <td id=\"T_c66b1_row13_col3\" class=\"data row13 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row13_col4\" class=\"data row13 col4\" >82.45</td>\n",
+ " <td id=\"T_c66b1_row13_col5\" class=\"data row13 col5\" >7.64</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n",
+ " <td id=\"T_c66b1_row14_col0\" class=\"data row14 col0\" >26.47</td>\n",
+ " <td id=\"T_c66b1_row14_col1\" class=\"data row14 col1\" >3.08</td>\n",
+ " <td id=\"T_c66b1_row14_col2\" class=\"data row14 col2\" >2.03</td>\n",
+ " <td id=\"T_c66b1_row14_col3\" class=\"data row14 col3\" >0.24</td>\n",
+ " <td id=\"T_c66b1_row14_col4\" class=\"data row14 col4\" >21.07</td>\n",
+ " <td id=\"T_c66b1_row14_col5\" class=\"data row14 col5\" >5.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row15\" class=\"row_heading level1 row15\" >3</th>\n",
+ " <td id=\"T_c66b1_row15_col0\" class=\"data row15 col0\" >7.43</td>\n",
+ " <td id=\"T_c66b1_row15_col1\" class=\"data row15 col1\" >1.74</td>\n",
+ " <td id=\"T_c66b1_row15_col2\" class=\"data row15 col2\" >0.46</td>\n",
+ " <td id=\"T_c66b1_row15_col3\" class=\"data row15 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row15_col4\" class=\"data row15 col4\" >76.72</td>\n",
+ " <td id=\"T_c66b1_row15_col5\" class=\"data row15 col5\" >5.78</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"4\">25% (0 0 0 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row16\" class=\"row_heading level1 row16\" >0</th>\n",
+ " <td id=\"T_c66b1_row16_col0\" class=\"data row16 col0\" >7.43</td>\n",
+ " <td id=\"T_c66b1_row16_col1\" class=\"data row16 col1\" >1.58</td>\n",
+ " <td id=\"T_c66b1_row16_col2\" class=\"data row16 col2\" >0.48</td>\n",
+ " <td id=\"T_c66b1_row16_col3\" class=\"data row16 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row16_col4\" class=\"data row16 col4\" >76.88</td>\n",
+ " <td id=\"T_c66b1_row16_col5\" class=\"data row16 col5\" >6.12</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n",
+ " <td id=\"T_c66b1_row17_col0\" class=\"data row17 col0\" >3.93</td>\n",
+ " <td id=\"T_c66b1_row17_col1\" class=\"data row17 col1\" >1.27</td>\n",
+ " <td id=\"T_c66b1_row17_col2\" class=\"data row17 col2\" >0.37</td>\n",
+ " <td id=\"T_c66b1_row17_col3\" class=\"data row17 col3\" >0.12</td>\n",
+ " <td id=\"T_c66b1_row17_col4\" class=\"data row17 col4\" >82.12</td>\n",
+ " <td id=\"T_c66b1_row17_col5\" class=\"data row17 col5\" >6.18</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n",
+ " <td id=\"T_c66b1_row18_col0\" class=\"data row18 col0\" >5.28</td>\n",
+ " <td id=\"T_c66b1_row18_col1\" class=\"data row18 col1\" >1.51</td>\n",
+ " <td id=\"T_c66b1_row18_col2\" class=\"data row18 col2\" >0.41</td>\n",
+ " <td id=\"T_c66b1_row18_col3\" class=\"data row18 col3\" >0.12</td>\n",
+ " <td id=\"T_c66b1_row18_col4\" class=\"data row18 col4\" >79.03</td>\n",
+ " <td id=\"T_c66b1_row18_col5\" class=\"data row18 col5\" >5.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row19\" class=\"row_heading level1 row19\" >3</th>\n",
+ " <td id=\"T_c66b1_row19_col0\" class=\"data row19 col0\" >28.08</td>\n",
+ " <td id=\"T_c66b1_row19_col1\" class=\"data row19 col1\" >2.78</td>\n",
+ " <td id=\"T_c66b1_row19_col2\" class=\"data row19 col2\" >1.75</td>\n",
+ " <td id=\"T_c66b1_row19_col3\" class=\"data row19 col3\" >0.17</td>\n",
+ " <td id=\"T_c66b1_row19_col4\" class=\"data row19 col4\" >31.87</td>\n",
+ " <td id=\"T_c66b1_row19_col5\" class=\"data row19 col5\" >6.08</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"4\">50% (1 1 0 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row20\" class=\"row_heading level1 row20\" >0</th>\n",
+ " <td id=\"T_c66b1_row20_col0\" class=\"data row20 col0\" >14.02</td>\n",
+ " <td id=\"T_c66b1_row20_col1\" class=\"data row20 col1\" >2.08</td>\n",
+ " <td id=\"T_c66b1_row20_col2\" class=\"data row20 col2\" >0.90</td>\n",
+ " <td id=\"T_c66b1_row20_col3\" class=\"data row20 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row20_col4\" class=\"data row20 col4\" >46.45</td>\n",
+ " <td id=\"T_c66b1_row20_col5\" class=\"data row20 col5\" >6.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row21\" class=\"row_heading level1 row21\" >1</th>\n",
+ " <td id=\"T_c66b1_row21_col0\" class=\"data row21 col0\" >5.41</td>\n",
+ " <td id=\"T_c66b1_row21_col1\" class=\"data row21 col1\" >1.67</td>\n",
+ " <td id=\"T_c66b1_row21_col2\" class=\"data row21 col2\" >0.51</td>\n",
+ " <td id=\"T_c66b1_row21_col3\" class=\"data row21 col3\" >0.16</td>\n",
+ " <td id=\"T_c66b1_row21_col4\" class=\"data row21 col4\" >53.68</td>\n",
+ " <td id=\"T_c66b1_row21_col5\" class=\"data row21 col5\" >7.02</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row22\" class=\"row_heading level1 row22\" >2</th>\n",
+ " <td id=\"T_c66b1_row22_col0\" class=\"data row22 col0\" >4.94</td>\n",
+ " <td id=\"T_c66b1_row22_col1\" class=\"data row22 col1\" >1.20</td>\n",
+ " <td id=\"T_c66b1_row22_col2\" class=\"data row22 col2\" >0.38</td>\n",
+ " <td id=\"T_c66b1_row22_col3\" class=\"data row22 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row22_col4\" class=\"data row22 col4\" >77.93</td>\n",
+ " <td id=\"T_c66b1_row22_col5\" class=\"data row22 col5\" >6.30</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row23\" class=\"row_heading level1 row23\" >3</th>\n",
+ " <td id=\"T_c66b1_row23_col0\" class=\"data row23 col0\" >5.64</td>\n",
+ " <td id=\"T_c66b1_row23_col1\" class=\"data row23 col1\" >1.24</td>\n",
+ " <td id=\"T_c66b1_row23_col2\" class=\"data row23 col2\" >0.35</td>\n",
+ " <td id=\"T_c66b1_row23_col3\" class=\"data row23 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row23_col4\" class=\"data row23 col4\" >79.80</td>\n",
+ " <td id=\"T_c66b1_row23_col5\" class=\"data row23 col5\" >5.86</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"4\">50% (1 0 1 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row24\" class=\"row_heading level1 row24\" >0</th>\n",
+ " <td id=\"T_c66b1_row24_col0\" class=\"data row24 col0\" >7.46</td>\n",
+ " <td id=\"T_c66b1_row24_col1\" class=\"data row24 col1\" >1.77</td>\n",
+ " <td id=\"T_c66b1_row24_col2\" class=\"data row24 col2\" >0.48</td>\n",
+ " <td id=\"T_c66b1_row24_col3\" class=\"data row24 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row24_col4\" class=\"data row24 col4\" >50.61</td>\n",
+ " <td id=\"T_c66b1_row24_col5\" class=\"data row24 col5\" >5.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row25\" class=\"row_heading level1 row25\" >1</th>\n",
+ " <td id=\"T_c66b1_row25_col0\" class=\"data row25 col0\" >1.68</td>\n",
+ " <td id=\"T_c66b1_row25_col1\" class=\"data row25 col1\" >1.01</td>\n",
+ " <td id=\"T_c66b1_row25_col2\" class=\"data row25 col2\" >0.16</td>\n",
+ " <td id=\"T_c66b1_row25_col3\" class=\"data row25 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row25_col4\" class=\"data row25 col4\" >90.95</td>\n",
+ " <td id=\"T_c66b1_row25_col5\" class=\"data row25 col5\" >5.87</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row26\" class=\"row_heading level1 row26\" >2</th>\n",
+ " <td id=\"T_c66b1_row26_col0\" class=\"data row26 col0\" >8.34</td>\n",
+ " <td id=\"T_c66b1_row26_col1\" class=\"data row26 col1\" >1.86</td>\n",
+ " <td id=\"T_c66b1_row26_col2\" class=\"data row26 col2\" >0.64</td>\n",
+ " <td id=\"T_c66b1_row26_col3\" class=\"data row26 col3\" >0.14</td>\n",
+ " <td id=\"T_c66b1_row26_col4\" class=\"data row26 col4\" >36.90</td>\n",
+ " <td id=\"T_c66b1_row26_col5\" class=\"data row26 col5\" >7.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row27\" class=\"row_heading level1 row27\" >3</th>\n",
+ " <td id=\"T_c66b1_row27_col0\" class=\"data row27 col0\" >4.25</td>\n",
+ " <td id=\"T_c66b1_row27_col1\" class=\"data row27 col1\" >1.48</td>\n",
+ " <td id=\"T_c66b1_row27_col2\" class=\"data row27 col2\" >0.26</td>\n",
+ " <td id=\"T_c66b1_row27_col3\" class=\"data row27 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row27_col4\" class=\"data row27 col4\" >84.39</td>\n",
+ " <td id=\"T_c66b1_row27_col5\" class=\"data row27 col5\" >6.20</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"4\">50% (1 0 0 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row28\" class=\"row_heading level1 row28\" >0</th>\n",
+ " <td id=\"T_c66b1_row28_col0\" class=\"data row28 col0\" >7.65</td>\n",
+ " <td id=\"T_c66b1_row28_col1\" class=\"data row28 col1\" >2.06</td>\n",
+ " <td id=\"T_c66b1_row28_col2\" class=\"data row28 col2\" >0.49</td>\n",
+ " <td id=\"T_c66b1_row28_col3\" class=\"data row28 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row28_col4\" class=\"data row28 col4\" >49.63</td>\n",
+ " <td id=\"T_c66b1_row28_col5\" class=\"data row28 col5\" >5.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row29\" class=\"row_heading level1 row29\" >1</th>\n",
+ " <td id=\"T_c66b1_row29_col0\" class=\"data row29 col0\" >1.88</td>\n",
+ " <td id=\"T_c66b1_row29_col1\" class=\"data row29 col1\" >1.05</td>\n",
+ " <td id=\"T_c66b1_row29_col2\" class=\"data row29 col2\" >0.18</td>\n",
+ " <td id=\"T_c66b1_row29_col3\" class=\"data row29 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row29_col4\" class=\"data row29 col4\" >90.53</td>\n",
+ " <td id=\"T_c66b1_row29_col5\" class=\"data row29 col5\" >5.26</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row30\" class=\"row_heading level1 row30\" >2</th>\n",
+ " <td id=\"T_c66b1_row30_col0\" class=\"data row30 col0\" >2.36</td>\n",
+ " <td id=\"T_c66b1_row30_col1\" class=\"data row30 col1\" >1.03</td>\n",
+ " <td id=\"T_c66b1_row30_col2\" class=\"data row30 col2\" >0.18</td>\n",
+ " <td id=\"T_c66b1_row30_col3\" class=\"data row30 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row30_col4\" class=\"data row30 col4\" >87.95</td>\n",
+ " <td id=\"T_c66b1_row30_col5\" class=\"data row30 col5\" >5.63</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row31\" class=\"row_heading level1 row31\" >3</th>\n",
+ " <td id=\"T_c66b1_row31_col0\" class=\"data row31 col0\" >10.60</td>\n",
+ " <td id=\"T_c66b1_row31_col1\" class=\"data row31 col1\" >2.03</td>\n",
+ " <td id=\"T_c66b1_row31_col2\" class=\"data row31 col2\" >0.66</td>\n",
+ " <td id=\"T_c66b1_row31_col3\" class=\"data row31 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row31_col4\" class=\"data row31 col4\" >43.98</td>\n",
+ " <td id=\"T_c66b1_row31_col5\" class=\"data row31 col5\" >6.11</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row32\" class=\"row_heading level0 row32\" rowspan=\"4\">50% (0 1 1 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row32\" class=\"row_heading level1 row32\" >0</th>\n",
+ " <td id=\"T_c66b1_row32_col0\" class=\"data row32 col0\" >4.90</td>\n",
+ " <td id=\"T_c66b1_row32_col1\" class=\"data row32 col1\" >1.49</td>\n",
+ " <td id=\"T_c66b1_row32_col2\" class=\"data row32 col2\" >0.31</td>\n",
+ " <td id=\"T_c66b1_row32_col3\" class=\"data row32 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row32_col4\" class=\"data row32 col4\" >84.16</td>\n",
+ " <td id=\"T_c66b1_row32_col5\" class=\"data row32 col5\" >5.23</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row33\" class=\"row_heading level1 row33\" >1</th>\n",
+ " <td id=\"T_c66b1_row33_col0\" class=\"data row33 col0\" >5.11</td>\n",
+ " <td id=\"T_c66b1_row33_col1\" class=\"data row33 col1\" >1.60</td>\n",
+ " <td id=\"T_c66b1_row33_col2\" class=\"data row33 col2\" >0.48</td>\n",
+ " <td id=\"T_c66b1_row33_col3\" class=\"data row33 col3\" >0.15</td>\n",
+ " <td id=\"T_c66b1_row33_col4\" class=\"data row33 col4\" >51.32</td>\n",
+ " <td id=\"T_c66b1_row33_col5\" class=\"data row33 col5\" >7.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row34\" class=\"row_heading level1 row34\" >2</th>\n",
+ " <td id=\"T_c66b1_row34_col0\" class=\"data row34 col0\" >14.69</td>\n",
+ " <td id=\"T_c66b1_row34_col1\" class=\"data row34 col1\" >2.15</td>\n",
+ " <td id=\"T_c66b1_row34_col2\" class=\"data row34 col2\" >1.13</td>\n",
+ " <td id=\"T_c66b1_row34_col3\" class=\"data row34 col3\" >0.16</td>\n",
+ " <td id=\"T_c66b1_row34_col4\" class=\"data row34 col4\" >31.88</td>\n",
+ " <td id=\"T_c66b1_row34_col5\" class=\"data row34 col5\" >5.83</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row35\" class=\"row_heading level1 row35\" >3</th>\n",
+ " <td id=\"T_c66b1_row35_col0\" class=\"data row35 col0\" >5.08</td>\n",
+ " <td id=\"T_c66b1_row35_col1\" class=\"data row35 col1\" >1.46</td>\n",
+ " <td id=\"T_c66b1_row35_col2\" class=\"data row35 col2\" >0.32</td>\n",
+ " <td id=\"T_c66b1_row35_col3\" class=\"data row35 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row35_col4\" class=\"data row35 col4\" >82.54</td>\n",
+ " <td id=\"T_c66b1_row35_col5\" class=\"data row35 col5\" >5.56</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row36\" class=\"row_heading level0 row36\" rowspan=\"4\">50% (0 1 0 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row36\" class=\"row_heading level1 row36\" >0</th>\n",
+ " <td id=\"T_c66b1_row36_col0\" class=\"data row36 col0\" >5.09</td>\n",
+ " <td id=\"T_c66b1_row36_col1\" class=\"data row36 col1\" >1.48</td>\n",
+ " <td id=\"T_c66b1_row36_col2\" class=\"data row36 col2\" >0.33</td>\n",
+ " <td id=\"T_c66b1_row36_col3\" class=\"data row36 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row36_col4\" class=\"data row36 col4\" >82.80</td>\n",
+ " <td id=\"T_c66b1_row36_col5\" class=\"data row36 col5\" >5.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row37\" class=\"row_heading level1 row37\" >1</th>\n",
+ " <td id=\"T_c66b1_row37_col0\" class=\"data row37 col0\" >5.20</td>\n",
+ " <td id=\"T_c66b1_row37_col1\" class=\"data row37 col1\" >1.53</td>\n",
+ " <td id=\"T_c66b1_row37_col2\" class=\"data row37 col2\" >0.49</td>\n",
+ " <td id=\"T_c66b1_row37_col3\" class=\"data row37 col3\" >0.14</td>\n",
+ " <td id=\"T_c66b1_row37_col4\" class=\"data row37 col4\" >51.57</td>\n",
+ " <td id=\"T_c66b1_row37_col5\" class=\"data row37 col5\" >7.15</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row38\" class=\"row_heading level1 row38\" >2</th>\n",
+ " <td id=\"T_c66b1_row38_col0\" class=\"data row38 col0\" >3.34</td>\n",
+ " <td id=\"T_c66b1_row38_col1\" class=\"data row38 col1\" >1.31</td>\n",
+ " <td id=\"T_c66b1_row38_col2\" class=\"data row38 col2\" >0.26</td>\n",
+ " <td id=\"T_c66b1_row38_col3\" class=\"data row38 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row38_col4\" class=\"data row38 col4\" >85.62</td>\n",
+ " <td id=\"T_c66b1_row38_col5\" class=\"data row38 col5\" >5.58</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row39\" class=\"row_heading level1 row39\" >3</th>\n",
+ " <td id=\"T_c66b1_row39_col0\" class=\"data row39 col0\" >16.86</td>\n",
+ " <td id=\"T_c66b1_row39_col1\" class=\"data row39 col1\" >2.17</td>\n",
+ " <td id=\"T_c66b1_row39_col2\" class=\"data row39 col2\" >1.05</td>\n",
+ " <td id=\"T_c66b1_row39_col3\" class=\"data row39 col3\" >0.13</td>\n",
+ " <td id=\"T_c66b1_row39_col4\" class=\"data row39 col4\" >39.65</td>\n",
+ " <td id=\"T_c66b1_row39_col5\" class=\"data row39 col5\" >6.65</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row40\" class=\"row_heading level0 row40\" rowspan=\"4\">50% (0 0 1 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row40\" class=\"row_heading level1 row40\" >0</th>\n",
+ " <td id=\"T_c66b1_row40_col0\" class=\"data row40 col0\" >4.20</td>\n",
+ " <td id=\"T_c66b1_row40_col1\" class=\"data row40 col1\" >1.41</td>\n",
+ " <td id=\"T_c66b1_row40_col2\" class=\"data row40 col2\" >0.27</td>\n",
+ " <td id=\"T_c66b1_row40_col3\" class=\"data row40 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row40_col4\" class=\"data row40 col4\" >85.19</td>\n",
+ " <td id=\"T_c66b1_row40_col5\" class=\"data row40 col5\" >5.21</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row41\" class=\"row_heading level1 row41\" >1</th>\n",
+ " <td id=\"T_c66b1_row41_col0\" class=\"data row41 col0\" >2.44</td>\n",
+ " <td id=\"T_c66b1_row41_col1\" class=\"data row41 col1\" >1.24</td>\n",
+ " <td id=\"T_c66b1_row41_col2\" class=\"data row41 col2\" >0.23</td>\n",
+ " <td id=\"T_c66b1_row41_col3\" class=\"data row41 col3\" >0.12</td>\n",
+ " <td id=\"T_c66b1_row41_col4\" class=\"data row41 col4\" >86.81</td>\n",
+ " <td id=\"T_c66b1_row41_col5\" class=\"data row41 col5\" >6.51</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row42\" class=\"row_heading level1 row42\" >2</th>\n",
+ " <td id=\"T_c66b1_row42_col0\" class=\"data row42 col0\" >5.10</td>\n",
+ " <td id=\"T_c66b1_row42_col1\" class=\"data row42 col1\" >1.48</td>\n",
+ " <td id=\"T_c66b1_row42_col2\" class=\"data row42 col2\" >0.39</td>\n",
+ " <td id=\"T_c66b1_row42_col3\" class=\"data row42 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row42_col4\" class=\"data row42 col4\" >39.30</td>\n",
+ " <td id=\"T_c66b1_row42_col5\" class=\"data row42 col5\" >6.04</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row43\" class=\"row_heading level1 row43\" >3</th>\n",
+ " <td id=\"T_c66b1_row43_col0\" class=\"data row43 col0\" >5.80</td>\n",
+ " <td id=\"T_c66b1_row43_col1\" class=\"data row43 col1\" >1.65</td>\n",
+ " <td id=\"T_c66b1_row43_col2\" class=\"data row43 col2\" >0.36</td>\n",
+ " <td id=\"T_c66b1_row43_col3\" class=\"data row43 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row43_col4\" class=\"data row43 col4\" >51.75</td>\n",
+ " <td id=\"T_c66b1_row43_col5\" class=\"data row43 col5\" >6.14</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row44\" class=\"row_heading level0 row44\" rowspan=\"4\">75% (1 1 1 0)</th>\n",
+ " <th id=\"T_c66b1_level1_row44\" class=\"row_heading level1 row44\" >0</th>\n",
+ " <td id=\"T_c66b1_row44_col0\" class=\"data row44 col0\" >4.17</td>\n",
+ " <td id=\"T_c66b1_row44_col1\" class=\"data row44 col1\" >1.44</td>\n",
+ " <td id=\"T_c66b1_row44_col2\" class=\"data row44 col2\" >0.27</td>\n",
+ " <td id=\"T_c66b1_row44_col3\" class=\"data row44 col3\" >0.09</td>\n",
+ " <td id=\"T_c66b1_row44_col4\" class=\"data row44 col4\" >57.25</td>\n",
+ " <td id=\"T_c66b1_row44_col5\" class=\"data row44 col5\" >5.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row45\" class=\"row_heading level1 row45\" >1</th>\n",
+ " <td id=\"T_c66b1_row45_col0\" class=\"data row45 col0\" >1.50</td>\n",
+ " <td id=\"T_c66b1_row45_col1\" class=\"data row45 col1\" >0.82</td>\n",
+ " <td id=\"T_c66b1_row45_col2\" class=\"data row45 col2\" >0.14</td>\n",
+ " <td id=\"T_c66b1_row45_col3\" class=\"data row45 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row45_col4\" class=\"data row45 col4\" >65.04</td>\n",
+ " <td id=\"T_c66b1_row45_col5\" class=\"data row45 col5\" >7.61</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row46\" class=\"row_heading level1 row46\" >2</th>\n",
+ " <td id=\"T_c66b1_row46_col0\" class=\"data row46 col0\" >5.25</td>\n",
+ " <td id=\"T_c66b1_row46_col1\" class=\"data row46 col1\" >1.31</td>\n",
+ " <td id=\"T_c66b1_row46_col2\" class=\"data row46 col2\" >0.40</td>\n",
+ " <td id=\"T_c66b1_row46_col3\" class=\"data row46 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row46_col4\" class=\"data row46 col4\" >44.55</td>\n",
+ " <td id=\"T_c66b1_row46_col5\" class=\"data row46 col5\" >7.09</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row47\" class=\"row_heading level1 row47\" >3</th>\n",
+ " <td id=\"T_c66b1_row47_col0\" class=\"data row47 col0\" >3.22</td>\n",
+ " <td id=\"T_c66b1_row47_col1\" class=\"data row47 col1\" >1.20</td>\n",
+ " <td id=\"T_c66b1_row47_col2\" class=\"data row47 col2\" >0.20</td>\n",
+ " <td id=\"T_c66b1_row47_col3\" class=\"data row47 col3\" >0.07</td>\n",
+ " <td id=\"T_c66b1_row47_col4\" class=\"data row47 col4\" >87.32</td>\n",
+ " <td id=\"T_c66b1_row47_col5\" class=\"data row47 col5\" >5.74</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row48\" class=\"row_heading level0 row48\" rowspan=\"4\">75% (1 1 0 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row48\" class=\"row_heading level1 row48\" >0</th>\n",
+ " <td id=\"T_c66b1_row48_col0\" class=\"data row48 col0\" >4.38</td>\n",
+ " <td id=\"T_c66b1_row48_col1\" class=\"data row48 col1\" >1.55</td>\n",
+ " <td id=\"T_c66b1_row48_col2\" class=\"data row48 col2\" >0.28</td>\n",
+ " <td id=\"T_c66b1_row48_col3\" class=\"data row48 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row48_col4\" class=\"data row48 col4\" >56.77</td>\n",
+ " <td id=\"T_c66b1_row48_col5\" class=\"data row48 col5\" >6.38</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row49\" class=\"row_heading level1 row49\" >1</th>\n",
+ " <td id=\"T_c66b1_row49_col0\" class=\"data row49 col0\" >1.79</td>\n",
+ " <td id=\"T_c66b1_row49_col1\" class=\"data row49 col1\" >0.84</td>\n",
+ " <td id=\"T_c66b1_row49_col2\" class=\"data row49 col2\" >0.17</td>\n",
+ " <td id=\"T_c66b1_row49_col3\" class=\"data row49 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row49_col4\" class=\"data row49 col4\" >64.39</td>\n",
+ " <td id=\"T_c66b1_row49_col5\" class=\"data row49 col5\" >7.59</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row50\" class=\"row_heading level1 row50\" >2</th>\n",
+ " <td id=\"T_c66b1_row50_col0\" class=\"data row50 col0\" >1.35</td>\n",
+ " <td id=\"T_c66b1_row50_col1\" class=\"data row50 col1\" >0.86</td>\n",
+ " <td id=\"T_c66b1_row50_col2\" class=\"data row50 col2\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row50_col3\" class=\"data row50 col3\" >0.07</td>\n",
+ " <td id=\"T_c66b1_row50_col4\" class=\"data row50 col4\" >92.00</td>\n",
+ " <td id=\"T_c66b1_row50_col5\" class=\"data row50 col5\" >4.94</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row51\" class=\"row_heading level1 row51\" >3</th>\n",
+ " <td id=\"T_c66b1_row51_col0\" class=\"data row51 col0\" >7.47</td>\n",
+ " <td id=\"T_c66b1_row51_col1\" class=\"data row51 col1\" >1.64</td>\n",
+ " <td id=\"T_c66b1_row51_col2\" class=\"data row51 col2\" >0.47</td>\n",
+ " <td id=\"T_c66b1_row51_col3\" class=\"data row51 col3\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row51_col4\" class=\"data row51 col4\" >49.53</td>\n",
+ " <td id=\"T_c66b1_row51_col5\" class=\"data row51 col5\" >6.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row52\" class=\"row_heading level0 row52\" rowspan=\"4\">75% (1 0 1 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row52\" class=\"row_heading level1 row52\" >0</th>\n",
+ " <td id=\"T_c66b1_row52_col0\" class=\"data row52 col0\" >3.17</td>\n",
+ " <td id=\"T_c66b1_row52_col1\" class=\"data row52 col1\" >1.26</td>\n",
+ " <td id=\"T_c66b1_row52_col2\" class=\"data row52 col2\" >0.20</td>\n",
+ " <td id=\"T_c66b1_row52_col3\" class=\"data row52 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row52_col4\" class=\"data row52 col4\" >60.07</td>\n",
+ " <td id=\"T_c66b1_row52_col5\" class=\"data row52 col5\" >5.85</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row53\" class=\"row_heading level1 row53\" >1</th>\n",
+ " <td id=\"T_c66b1_row53_col0\" class=\"data row53 col0\" >1.09</td>\n",
+ " <td id=\"T_c66b1_row53_col1\" class=\"data row53 col1\" >0.81</td>\n",
+ " <td id=\"T_c66b1_row53_col2\" class=\"data row53 col2\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row53_col3\" class=\"data row53 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row53_col4\" class=\"data row53 col4\" >93.51</td>\n",
+ " <td id=\"T_c66b1_row53_col5\" class=\"data row53 col5\" >5.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row54\" class=\"row_heading level1 row54\" >2</th>\n",
+ " <td id=\"T_c66b1_row54_col0\" class=\"data row54 col0\" >1.38</td>\n",
+ " <td id=\"T_c66b1_row54_col1\" class=\"data row54 col1\" >0.68</td>\n",
+ " <td id=\"T_c66b1_row54_col2\" class=\"data row54 col2\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row54_col3\" class=\"data row54 col3\" >0.05</td>\n",
+ " <td id=\"T_c66b1_row54_col4\" class=\"data row54 col4\" >52.74</td>\n",
+ " <td id=\"T_c66b1_row54_col5\" class=\"data row54 col5\" >6.80</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row55\" class=\"row_heading level1 row55\" >3</th>\n",
+ " <td id=\"T_c66b1_row55_col0\" class=\"data row55 col0\" >2.52</td>\n",
+ " <td id=\"T_c66b1_row55_col1\" class=\"data row55 col1\" >1.32</td>\n",
+ " <td id=\"T_c66b1_row55_col2\" class=\"data row55 col2\" >0.16</td>\n",
+ " <td id=\"T_c66b1_row55_col3\" class=\"data row55 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row55_col4\" class=\"data row55 col4\" >59.17</td>\n",
+ " <td id=\"T_c66b1_row55_col5\" class=\"data row55 col5\" >5.71</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row56\" class=\"row_heading level0 row56\" rowspan=\"4\">75% (0 1 1 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row56\" class=\"row_heading level1 row56\" >0</th>\n",
+ " <td id=\"T_c66b1_row56_col0\" class=\"data row56 col0\" >2.99</td>\n",
+ " <td id=\"T_c66b1_row56_col1\" class=\"data row56 col1\" >1.30</td>\n",
+ " <td id=\"T_c66b1_row56_col2\" class=\"data row56 col2\" >0.19</td>\n",
+ " <td id=\"T_c66b1_row56_col3\" class=\"data row56 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row56_col4\" class=\"data row56 col4\" >88.62</td>\n",
+ " <td id=\"T_c66b1_row56_col5\" class=\"data row56 col5\" >4.70</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row57\" class=\"row_heading level1 row57\" >1</th>\n",
+ " <td id=\"T_c66b1_row57_col0\" class=\"data row57 col0\" >2.33</td>\n",
+ " <td id=\"T_c66b1_row57_col1\" class=\"data row57 col1\" >1.13</td>\n",
+ " <td id=\"T_c66b1_row57_col2\" class=\"data row57 col2\" >0.22</td>\n",
+ " <td id=\"T_c66b1_row57_col3\" class=\"data row57 col3\" >0.11</td>\n",
+ " <td id=\"T_c66b1_row57_col4\" class=\"data row57 col4\" >62.02</td>\n",
+ " <td id=\"T_c66b1_row57_col5\" class=\"data row57 col5\" >7.84</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row58\" class=\"row_heading level1 row58\" >2</th>\n",
+ " <td id=\"T_c66b1_row58_col0\" class=\"data row58 col0\" >2.78</td>\n",
+ " <td id=\"T_c66b1_row58_col1\" class=\"data row58 col1\" >0.97</td>\n",
+ " <td id=\"T_c66b1_row58_col2\" class=\"data row58 col2\" >0.21</td>\n",
+ " <td id=\"T_c66b1_row58_col3\" class=\"data row58 col3\" >0.07</td>\n",
+ " <td id=\"T_c66b1_row58_col4\" class=\"data row58 col4\" >48.54</td>\n",
+ " <td id=\"T_c66b1_row58_col5\" class=\"data row58 col5\" >6.00</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row59\" class=\"row_heading level1 row59\" >3</th>\n",
+ " <td id=\"T_c66b1_row59_col0\" class=\"data row59 col0\" >3.49</td>\n",
+ " <td id=\"T_c66b1_row59_col1\" class=\"data row59 col1\" >1.29</td>\n",
+ " <td id=\"T_c66b1_row59_col2\" class=\"data row59 col2\" >0.22</td>\n",
+ " <td id=\"T_c66b1_row59_col3\" class=\"data row59 col3\" >0.08</td>\n",
+ " <td id=\"T_c66b1_row59_col4\" class=\"data row59 col4\" >56.02</td>\n",
+ " <td id=\"T_c66b1_row59_col5\" class=\"data row59 col5\" >6.07</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level0_row60\" class=\"row_heading level0 row60\" rowspan=\"4\">100% (1 1 1 1)</th>\n",
+ " <th id=\"T_c66b1_level1_row60\" class=\"row_heading level1 row60\" >0</th>\n",
+ " <td id=\"T_c66b1_row60_col0\" class=\"data row60 col0\" >1.90</td>\n",
+ " <td id=\"T_c66b1_row60_col1\" class=\"data row60 col1\" >1.04</td>\n",
+ " <td id=\"T_c66b1_row60_col2\" class=\"data row60 col2\" >0.12</td>\n",
+ " <td id=\"T_c66b1_row60_col3\" class=\"data row60 col3\" >0.07</td>\n",
+ " <td id=\"T_c66b1_row60_col4\" class=\"data row60 col4\" >66.00</td>\n",
+ " <td id=\"T_c66b1_row60_col5\" class=\"data row60 col5\" >5.31</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row61\" class=\"row_heading level1 row61\" >1</th>\n",
+ " <td id=\"T_c66b1_row61_col0\" class=\"data row61 col0\" >0.70</td>\n",
+ " <td id=\"T_c66b1_row61_col1\" class=\"data row61 col1\" >0.54</td>\n",
+ " <td id=\"T_c66b1_row61_col2\" class=\"data row61 col2\" >0.07</td>\n",
+ " <td id=\"T_c66b1_row61_col3\" class=\"data row61 col3\" >0.05</td>\n",
+ " <td id=\"T_c66b1_row61_col4\" class=\"data row61 col4\" >71.19</td>\n",
+ " <td id=\"T_c66b1_row61_col5\" class=\"data row61 col5\" >7.22</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row62\" class=\"row_heading level1 row62\" >2</th>\n",
+ " <td id=\"T_c66b1_row62_col0\" class=\"data row62 col0\" >0.63</td>\n",
+ " <td id=\"T_c66b1_row62_col1\" class=\"data row62 col1\" >0.48</td>\n",
+ " <td id=\"T_c66b1_row62_col2\" class=\"data row62 col2\" >0.05</td>\n",
+ " <td id=\"T_c66b1_row62_col3\" class=\"data row62 col3\" >0.04</td>\n",
+ " <td id=\"T_c66b1_row62_col4\" class=\"data row62 col4\" >57.52</td>\n",
+ " <td id=\"T_c66b1_row62_col5\" class=\"data row62 col5\" >6.47</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_c66b1_level1_row63\" class=\"row_heading level1 row63\" >3</th>\n",
+ " <td id=\"T_c66b1_row63_col0\" class=\"data row63 col0\" >1.61</td>\n",
+ " <td id=\"T_c66b1_row63_col1\" class=\"data row63 col1\" >0.98</td>\n",
+ " <td id=\"T_c66b1_row63_col2\" class=\"data row63 col2\" >0.10</td>\n",
+ " <td id=\"T_c66b1_row63_col3\" class=\"data row63 col3\" >0.06</td>\n",
+ " <td id=\"T_c66b1_row63_col4\" class=\"data row63 col4\" >63.24</td>\n",
+ " <td id=\"T_c66b1_row63_col5\" class=\"data row63 col5\" >6.48</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfe4b590>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "<style type=\"text/css\">\n",
+ "#T_64352 td {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_64352 th {\n",
+ " border: 1px solid grey !important;\n",
+ " text-align: center;\n",
+ "}\n",
+ "#T_64352_row0_col0, #T_64352_row0_col2 {\n",
+ " background-color: #34ff34;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row0_col4, #T_64352_row15_col4 {\n",
+ " background-color: #f3f0f0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row1_col0, #T_64352_row1_col2, #T_64352_row2_col0, #T_64352_row2_col2 {\n",
+ " background-color: #3efe3e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row1_col4 {\n",
+ " background-color: #fe1010;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row2_col4 {\n",
+ " background-color: #fd2c2c;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row3_col0, #T_64352_row3_col2 {\n",
+ " background-color: #3ffe3f;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row3_col4 {\n",
+ " background-color: #ff0404;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row4_col0, #T_64352_row4_col2 {\n",
+ " background-color: #3dfe3d;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row4_col4 {\n",
+ " background-color: #ff0000;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row5_col0, #T_64352_row5_col2, #T_64352_row8_col0, #T_64352_row8_col2 {\n",
+ " background-color: #7efa7e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row5_col4 {\n",
+ " background-color: #fb5353;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row6_col0, #T_64352_row6_col2 {\n",
+ " background-color: #a2f8a2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row6_col4 {\n",
+ " background-color: #fb5757;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row7_col0, #T_64352_row7_col2 {\n",
+ " background-color: #9ef89e;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row7_col4 {\n",
+ " background-color: #fa6666;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row8_col4 {\n",
+ " background-color: #fd3131;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row9_col0, #T_64352_row9_col2 {\n",
+ " background-color: #7cfa7c;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row9_col4 {\n",
+ " background-color: #fb4d4d;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row10_col0, #T_64352_row10_col2 {\n",
+ " background-color: #b3f7b3;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row10_col4 {\n",
+ " background-color: #fb4848;\n",
+ " color: #f1f1f1;\n",
+ "}\n",
+ "#T_64352_row11_col0, #T_64352_row11_col2 {\n",
+ " background-color: #c2f6c2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row11_col4 {\n",
+ " background-color: #f6b4b4;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row12_col0, #T_64352_row12_col2 {\n",
+ " background-color: #bff6bf;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row12_col4 {\n",
+ " background-color: #f5c0c0;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row13_col0, #T_64352_row13_col2 {\n",
+ " background-color: #dcf4dc;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row13_col4 {\n",
+ " background-color: #f6b2b2;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row14_col0, #T_64352_row14_col2 {\n",
+ " background-color: #cef5ce;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row14_col4 {\n",
+ " background-color: #f79595;\n",
+ " color: #000000;\n",
+ "}\n",
+ "#T_64352_row15_col0, #T_64352_row15_col2 {\n",
+ " background-color: #ebf3eb;\n",
+ " color: #000000;\n",
+ "}\n",
+ "</style>\n",
+ "<table id=\"T_64352\">\n",
+ " <thead>\n",
+ " <tr>\n",
+ " <th class=\"blank level0\" > </th>\n",
+ " <th id=\"T_64352_level0_col0\" class=\"col_heading level0 col0\" colspan=\"2\">Total benefits</th>\n",
+ " <th id=\"T_64352_level0_col2\" class=\"col_heading level0 col2\" colspan=\"2\">Benefits / energy available</th>\n",
+ " <th id=\"T_64352_level0_col4\" class=\"col_heading level0 col4\" colspan=\"2\">Energy wasted (%)</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th class=\"blank level1\" > </th>\n",
+ " <th id=\"T_64352_level1_col0\" class=\"col_heading level1 col0\" >Value</th>\n",
+ " <th id=\"T_64352_level1_col1\" class=\"col_heading level1 col1\" >std</th>\n",
+ " <th id=\"T_64352_level1_col2\" class=\"col_heading level1 col2\" >Value</th>\n",
+ " <th id=\"T_64352_level1_col3\" class=\"col_heading level1 col3\" >std</th>\n",
+ " <th id=\"T_64352_level1_col4\" class=\"col_heading level1 col4\" >Value</th>\n",
+ " <th id=\"T_64352_level1_col5\" class=\"col_heading level1 col5\" >std</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row0\" class=\"row_heading level0 row0\" >Cooperative</th>\n",
+ " <td id=\"T_64352_row0_col0\" class=\"data row0 col0\" >47.02</td>\n",
+ " <td id=\"T_64352_row0_col1\" class=\"data row0 col1\" >1.74</td>\n",
+ " <td id=\"T_64352_row0_col2\" class=\"data row0 col2\" >0.85</td>\n",
+ " <td id=\"T_64352_row0_col3\" class=\"data row0 col3\" >0.03</td>\n",
+ " <td id=\"T_64352_row0_col4\" class=\"data row0 col4\" >64.20</td>\n",
+ " <td id=\"T_64352_row0_col5\" class=\"data row0 col5\" >2.95</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row1\" class=\"row_heading level0 row1\" >25% (1 0 0 0)</th>\n",
+ " <td id=\"T_64352_row1_col0\" class=\"data row1 col0\" >44.63</td>\n",
+ " <td id=\"T_64352_row1_col1\" class=\"data row1 col1\" >1.76</td>\n",
+ " <td id=\"T_64352_row1_col2\" class=\"data row1 col2\" >0.81</td>\n",
+ " <td id=\"T_64352_row1_col3\" class=\"data row1 col3\" >0.03</td>\n",
+ " <td id=\"T_64352_row1_col4\" class=\"data row1 col4\" >65.24</td>\n",
+ " <td id=\"T_64352_row1_col5\" class=\"data row1 col5\" >2.92</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row2\" class=\"row_heading level0 row2\" >25% (0 1 0 0)</th>\n",
+ " <td id=\"T_64352_row2_col0\" class=\"data row2 col0\" >44.68</td>\n",
+ " <td id=\"T_64352_row2_col1\" class=\"data row2 col1\" >1.78</td>\n",
+ " <td id=\"T_64352_row2_col2\" class=\"data row2 col2\" >0.81</td>\n",
+ " <td id=\"T_64352_row2_col3\" class=\"data row2 col3\" >0.03</td>\n",
+ " <td id=\"T_64352_row2_col4\" class=\"data row2 col4\" >65.11</td>\n",
+ " <td id=\"T_64352_row2_col5\" class=\"data row2 col5\" >2.96</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row3\" class=\"row_heading level0 row3\" >25% (0 0 1 0)</th>\n",
+ " <td id=\"T_64352_row3_col0\" class=\"data row3 col0\" >44.30</td>\n",
+ " <td id=\"T_64352_row3_col1\" class=\"data row3 col1\" >1.60</td>\n",
+ " <td id=\"T_64352_row3_col2\" class=\"data row3 col2\" >0.80</td>\n",
+ " <td id=\"T_64352_row3_col3\" class=\"data row3 col3\" >0.03</td>\n",
+ " <td id=\"T_64352_row3_col4\" class=\"data row3 col4\" >65.30</td>\n",
+ " <td id=\"T_64352_row3_col5\" class=\"data row3 col5\" >3.01</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row4\" class=\"row_heading level0 row4\" >25% (0 0 0 1)</th>\n",
+ " <td id=\"T_64352_row4_col0\" class=\"data row4 col0\" >44.72</td>\n",
+ " <td id=\"T_64352_row4_col1\" class=\"data row4 col1\" >1.76</td>\n",
+ " <td id=\"T_64352_row4_col2\" class=\"data row4 col2\" >0.81</td>\n",
+ " <td id=\"T_64352_row4_col3\" class=\"data row4 col3\" >0.03</td>\n",
+ " <td id=\"T_64352_row4_col4\" class=\"data row4 col4\" >65.32</td>\n",
+ " <td id=\"T_64352_row4_col5\" class=\"data row4 col5\" >2.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row5\" class=\"row_heading level0 row5\" >50% (1 1 0 0)</th>\n",
+ " <td id=\"T_64352_row5_col0\" class=\"data row5 col0\" >30.01</td>\n",
+ " <td id=\"T_64352_row5_col1\" class=\"data row5 col1\" >2.36</td>\n",
+ " <td id=\"T_64352_row5_col2\" class=\"data row5 col2\" >0.54</td>\n",
+ " <td id=\"T_64352_row5_col3\" class=\"data row5 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row5_col4\" class=\"data row5 col4\" >64.93</td>\n",
+ " <td id=\"T_64352_row5_col5\" class=\"data row5 col5\" >2.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row6\" class=\"row_heading level0 row6\" >50% (1 0 1 0)</th>\n",
+ " <td id=\"T_64352_row6_col0\" class=\"data row6 col0\" >21.73</td>\n",
+ " <td id=\"T_64352_row6_col1\" class=\"data row6 col1\" >2.43</td>\n",
+ " <td id=\"T_64352_row6_col2\" class=\"data row6 col2\" >0.39</td>\n",
+ " <td id=\"T_64352_row6_col3\" class=\"data row6 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row6_col4\" class=\"data row6 col4\" >64.91</td>\n",
+ " <td id=\"T_64352_row6_col5\" class=\"data row6 col5\" >2.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row7\" class=\"row_heading level0 row7\" >50% (1 0 0 1)</th>\n",
+ " <td id=\"T_64352_row7_col0\" class=\"data row7 col0\" >22.49</td>\n",
+ " <td id=\"T_64352_row7_col1\" class=\"data row7 col1\" >2.81</td>\n",
+ " <td id=\"T_64352_row7_col2\" class=\"data row7 col2\" >0.41</td>\n",
+ " <td id=\"T_64352_row7_col3\" class=\"data row7 col3\" >0.05</td>\n",
+ " <td id=\"T_64352_row7_col4\" class=\"data row7 col4\" >64.85</td>\n",
+ " <td id=\"T_64352_row7_col5\" class=\"data row7 col5\" >2.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row8\" class=\"row_heading level0 row8\" >50% (0 1 1 0)</th>\n",
+ " <td id=\"T_64352_row8_col0\" class=\"data row8 col0\" >29.78</td>\n",
+ " <td id=\"T_64352_row8_col1\" class=\"data row8 col1\" >2.37</td>\n",
+ " <td id=\"T_64352_row8_col2\" class=\"data row8 col2\" >0.54</td>\n",
+ " <td id=\"T_64352_row8_col3\" class=\"data row8 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row8_col4\" class=\"data row8 col4\" >65.09</td>\n",
+ " <td id=\"T_64352_row8_col5\" class=\"data row8 col5\" >3.05</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row9\" class=\"row_heading level0 row9\" >50% (0 1 0 1)</th>\n",
+ " <td id=\"T_64352_row9_col0\" class=\"data row9 col0\" >30.49</td>\n",
+ " <td id=\"T_64352_row9_col1\" class=\"data row9 col1\" >2.38</td>\n",
+ " <td id=\"T_64352_row9_col2\" class=\"data row9 col2\" >0.55</td>\n",
+ " <td id=\"T_64352_row9_col3\" class=\"data row9 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row9_col4\" class=\"data row9 col4\" >64.96</td>\n",
+ " <td id=\"T_64352_row9_col5\" class=\"data row9 col5\" >2.99</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row10\" class=\"row_heading level0 row10\" >50% (0 0 1 1)</th>\n",
+ " <td id=\"T_64352_row10_col0\" class=\"data row10 col0\" >17.54</td>\n",
+ " <td id=\"T_64352_row10_col1\" class=\"data row10 col1\" >2.92</td>\n",
+ " <td id=\"T_64352_row10_col2\" class=\"data row10 col2\" >0.32</td>\n",
+ " <td id=\"T_64352_row10_col3\" class=\"data row10 col3\" >0.05</td>\n",
+ " <td id=\"T_64352_row10_col4\" class=\"data row10 col4\" >64.99</td>\n",
+ " <td id=\"T_64352_row10_col5\" class=\"data row10 col5\" >2.90</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row11\" class=\"row_heading level0 row11\" >75% (1 1 1 0)</th>\n",
+ " <td id=\"T_64352_row11_col0\" class=\"data row11 col0\" >14.14</td>\n",
+ " <td id=\"T_64352_row11_col1\" class=\"data row11 col1\" >2.11</td>\n",
+ " <td id=\"T_64352_row11_col2\" class=\"data row11 col2\" >0.26</td>\n",
+ " <td id=\"T_64352_row11_col3\" class=\"data row11 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row11_col4\" class=\"data row11 col4\" >64.48</td>\n",
+ " <td id=\"T_64352_row11_col5\" class=\"data row11 col5\" >2.98</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row12\" class=\"row_heading level0 row12\" >75% (1 1 0 1)</th>\n",
+ " <td id=\"T_64352_row12_col0\" class=\"data row12 col0\" >14.99</td>\n",
+ " <td id=\"T_64352_row12_col1\" class=\"data row12 col1\" >2.15</td>\n",
+ " <td id=\"T_64352_row12_col2\" class=\"data row12 col2\" >0.27</td>\n",
+ " <td id=\"T_64352_row12_col3\" class=\"data row12 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row12_col4\" class=\"data row12 col4\" >64.42</td>\n",
+ " <td id=\"T_64352_row12_col5\" class=\"data row12 col5\" >2.97</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row13\" class=\"row_heading level0 row13\" >75% (1 0 1 1)</th>\n",
+ " <td id=\"T_64352_row13_col0\" class=\"data row13 col0\" >8.16</td>\n",
+ " <td id=\"T_64352_row13_col1\" class=\"data row13 col1\" >2.07</td>\n",
+ " <td id=\"T_64352_row13_col2\" class=\"data row13 col2\" >0.15</td>\n",
+ " <td id=\"T_64352_row13_col3\" class=\"data row13 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row13_col4\" class=\"data row13 col4\" >64.49</td>\n",
+ " <td id=\"T_64352_row13_col5\" class=\"data row13 col5\" >2.88</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row14\" class=\"row_heading level0 row14\" >75% (0 1 1 1)</th>\n",
+ " <td id=\"T_64352_row14_col0\" class=\"data row14 col0\" >11.59</td>\n",
+ " <td id=\"T_64352_row14_col1\" class=\"data row14 col1\" >2.46</td>\n",
+ " <td id=\"T_64352_row14_col2\" class=\"data row14 col2\" >0.21</td>\n",
+ " <td id=\"T_64352_row14_col3\" class=\"data row14 col3\" >0.04</td>\n",
+ " <td id=\"T_64352_row14_col4\" class=\"data row14 col4\" >64.63</td>\n",
+ " <td id=\"T_64352_row14_col5\" class=\"data row14 col5\" >2.91</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th id=\"T_64352_level0_row15\" class=\"row_heading level0 row15\" >100% (1 1 1 1)</th>\n",
+ " <td id=\"T_64352_row15_col0\" class=\"data row15 col0\" >4.84</td>\n",
+ " <td id=\"T_64352_row15_col1\" class=\"data row15 col1\" >1.51</td>\n",
+ " <td id=\"T_64352_row15_col2\" class=\"data row15 col2\" >0.09</td>\n",
+ " <td id=\"T_64352_row15_col3\" class=\"data row15 col3\" >0.03</td>\n",
+ " <td id=\"T_64352_row15_col4\" class=\"data row15 col4\" >64.20</td>\n",
+ " <td id=\"T_64352_row15_col5\" class=\"data row15 col5\" >2.95</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n"
+ ],
+ "text/plain": [
+ "<pandas.io.formats.style.Styler at 0x7150dfc0cc10>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"analysis_plot.draw_table_money_and_energy(\"small\", tables_type=\"both\", simplified=True)"
]
@@ -1308,7 +13304,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "opt",
+ "display_name": "Python 3",
"language": "python",
"name": "python3"
},
@@ -1322,7 +13318,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.13.2"
+ "version": "3.11.6"
}
},
"nbformat": 4,