mburke05/gist:5c38859d01bc4e400ecfdda21fad53dd

## gistfile1.txt
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: pylab import has clobbered these variables: ['datetime', 'title']\n",
      "`%matplotlib` prevents importing * from pylab and numpy\n"
     ]
    }
   ],
   "source": [
    "#imports, GUI loading\n",
    "##frontend\n",
    "from IPython.display import HTML\n",
    "##database pulls\n",
    "from queries import TOTAL, DEMO, DB_CREDENTIALS, TOTAL_USA_EX, TOTAL_ESPN_EX, TOTAL_VIOLIN\n",
    "import pandas as pd\n",
    "import pyodbc\n",
    "pd.options.mode.chained_assignment = None  # default='warn'\n",
    "##graphing\n",
    "%pylab inline\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib as mpl\n",
    "from datetime import datetime, timedelta\n",
    "import numpy as np\n",
    "##graphing settings\n",
    "sns.set_style(style='whitegrid')\n",
    "mpl.rc('font',family='Arial Rounded MT Bold')\n",
    "y_label = {'fontsize':14}\n",
    "title = {'fontsize':30}\n",
    "s_legend = {'fontsize':14, 'handlelength':7}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "with pyodbc.connect(DB_CREDENTIALS) as cnxn:\n",
    "    df = pd.read_sql(sql=DEMO, con=cnxn)\n",
    "    df['date'] = pd.to_datetime(df['date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished\n",
      "finished\n",
      "finished\n",
      "finished\n",
      "finished\n",
      "finished\n",
      "finished\n"
     ]
    }
   ],
   "source": [
    "#in the future either use np.vectorize or map the time to a dict for better results imo apply on aixs=1 is terrible perf.\n",
    "ex_ = df[(df.DemographicGroupDimID.isin(range(6,10) + range(21,25))) & (df.date.dt.year == 2015)].groupby(['datetime', 'date']).sum().reset_index()\n",
    "ex_['subject'] = ex_['date'] - ex_['date'].min()\n",
    "print 'finished'\n",
    "ex_['subject'] = ex_['subject'].apply(lambda x: x.days)\n",
    "print 'finished'\n",
    "ex_['hour'] = ex_['datetime'].apply(lambda x: x.hour)\n",
    "print 'finished'\n",
    "ex_['minute'] = ex_['datetime'].apply(lambda x: x.minute)\n",
    "print 'finished'\n",
    "ex_['minute'] = ex_['minute'] // 15\n",
    "print 'finished'\n",
    "ex_['qh'] = ex_.apply(lambda x: x['minute'] + (x['hour']*4), axis=1)\n",
    "print 'finished'\n",
    "ex_['impressions'] = ex_['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "print 'finished'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ex_['quarter'] = ex_['date'].dt.quarter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ex_.sort_values(by=['quarter'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0AAAAHECAYAAAAQ3UqlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c1ca710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rc('font',family='Arial Rounded MT Bold')\n",
    "fig, ax = plt.subplots()\n",
    "sns.set_style(style='whitegrid')\n",
    "fig.set_size_inches(14, 7)\n",
    "sns.tsplot(time='qh', value='impressions', unit='subject', condition='quarter', \n",
    "           ci=95, data=ex_, ax=ax, linewidth=1, color=[\"#046865\", \"#E53D00\", \"#FFE900\", \"#2D3047\"])\n",
    "ax.set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax.set_xlabel('TIME', **y_label)\n",
    "ax.set_title('QUARTERLY IMPRESSIONS: 95% CONFIDENCE INTERVAL (2015)')\n",
    "ax.set_xticks([x for x in xrange(0,96,8)])\n",
    "ax.set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(minutes=15*(int(x)))).strftime('%#I%p') for x in ax.get_xticks()])\n",
    "mpl.rc('font',family='Arial Rounded MT Bold')\n",
    "legend_ = ax.legend(title='quarter', loc=\"center right\", fontsize=14, handlelength=5)\n",
    "legend_.get_title().set_fontsize('18')\n",
    "for label in legend_.get_lines():\n",
    "    label.set_linewidth(3)\n",
    "ax.set_ylim(2, 19);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "violin_millenials = df[df.DemographicGroupDimID.isin(range(6,10) + range(21,25))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "violin_millenials['weekday'] = violin_millenials['date'].dt.dayofweek\n",
    "weekday_ = {0:'Monday', 1:'Tuesday', 2:'Wednesday', 3:'Thursday', 4:'Friday', 5:'Saturday', 6:'Sunday'}\n",
    "violin_millenials.replace({'weekday': weekday_}, inplace=True)\n",
    "violin_millenials['sex'] = 0\n",
    "violin_millenials.ix[violin_millenials.DemographicGroupDimID >= 16, 'sex'] = 'male'\n",
    "violin_millenials.ix[violin_millenials.DemographicGroupDimID < 16, 'sex'] = 'female'\n",
    "violin_millenials['impressions'] = violin_millenials['impressions'].apply(lambda x: x/1000000.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "violin_millenials = violin_millenials.groupby(by=['datetime', 'date', 'weekday', 'sex']).sum().reset_index().groupby(by=['date', 'weekday', 'sex']).mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x2f1c7f28>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzsAAAHECAYAAAAedDTKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nERERERFxSv8PJon1RCf45ZoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x296e7a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(14, 7)\n",
    "sns.violinplot(x='weekday', y='impressions', hue='sex', data=violin_millenials, palette=[\"#E53D00\", \"#21A0A0\"], \n",
    "               split=True, bw=.3);\n",
    "ax.set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax.set_xlabel('DAY OF WEEK', **y_label)\n",
    "ax.set_title('DISTRIBUTION OF IMPRESSIONS BY DAY OF WEEK')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "adult_women = range(6,16)\n",
    "adult_men = range(21,31)\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(adult_women+adult_men)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "pre_tot = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "post_tot = tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show=true; \n",
       "function code_toggle() {\n",
       " if (code_show){\n",
       " $('div.input').hide();\n",
       " } else {\n",
       " $('div.input').show();\n",
       " }\n",
       " code_show = !code_show\n",
       "} \n",
       "$( document ).ready(code_toggle);\n",
       "</script>\n",
       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "} \n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>''')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Total Audience: Weekly Averages\n",
    "=================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0EAAAGxCAYAAACk8L3pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEAQAAADAVAhBAAAAAEzl/wA1I9LDGt4pRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2b118908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(14, 7)\n",
    "ax.plot(pre_tot.index, pre_tot['impressions'], label='2015', linewidth=5, color=\"#21A0A0\",alpha=0.3)\n",
    "ax.plot(post_tot.index, post_tot['impressions'], label='2016', linewidth=5, color=\"#21A0A0\")\n",
    "ax.set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax.set_xlim([0,51])\n",
    "ax.set_title('TOTAL IMPRESSIONS, YEAR OVER YEAR COMPARISON')\n",
    "ax.set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax.get_xticks())])\n",
    "ax.legend(**s_legend);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49.1274 49.0033333333\n",
      "0.124066666667\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.25"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print post_tot.impressions.mean(), pre_tot[:len(post_tot.index)].impressions.mean()\n",
    "print post_tot.impressions.mean() - pre_tot[:len(post_tot.index)].impressions.mean()\n",
    "round((post_tot.impressions.mean() - pre_tot[:len(post_tot.index)].impressions.mean()) / pre_tot[:len(post_tot.index)].impressions.mean()*100,2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "All Age Groups (Age 18+): '15 v '16\n",
    "=================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0EAAAGxCAYAAACk8L3pAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIiIqKP8P1CjkSmiyQHEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x3429a048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_fem = range(6,16)\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(_fem)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_post = tmp\n",
    "\n",
    "_male = range(21,31)\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(_male)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_post = tmp\n",
    "\n",
    "\n",
    "#total impressions graphing\n",
    "fig, ax = plt.subplots(1,2, sharey=True)\n",
    "sns.set_style(style='whitegrid')\n",
    "fig.set_size_inches(14, 7)\n",
    "ax[0].plot(fem_pre.index, fem_pre['impressions'], label='2015', linewidth=5, color=\"#E53D00\",alpha=0.3)\n",
    "ax[0].plot(fem_post.index, fem_post['impressions'], label='2016', linewidth=5, color=\"#E53D00\")\n",
    "ax[0].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[0].set_xlim([0,51])\n",
    "ax[0].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[0].get_xticks())])\n",
    "ax[0].set_title('FEMALE')\n",
    "ax[0].legend(**s_legend);\n",
    "\n",
    "ax[1].plot(male_pre.index, male_pre['impressions'], label='2015', linewidth=5, color=\"#21A0A0\",alpha=0.3)\n",
    "ax[1].plot(male_post.index, male_post['impressions'], label='2016', linewidth=5, color=\"#21A0A0\")\n",
    "ax[1].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[1].set_xlim([0,51])\n",
    "ax[1].set_title('MALE')\n",
    "ax[1].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[1].get_xticks())])\n",
    "ax[1].legend(**s_legend);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "male_pre.columns = ['2015']\n",
    "fem_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "fem_post.columns = ['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26.8908666667\n",
      "27.0706666667\n",
      "0.1798 0.67\n",
      "22.1126\n",
      "22.0567333333\n",
      "-0.0558666666667 -0.25\n"
     ]
    }
   ],
   "source": [
    "fem_pre.columns = ['2015']\n",
    "fem_post.columns = ['2016']\n",
    "summ = fem_pre.join(fem_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n",
    "\n",
    "male_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "summ = male_pre.join(male_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a = male_pre.join(male_post).dropna()\n",
    "b = fem_pre.join(fem_post).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>22.112600</td>\n",
       "      <td>22.056733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.139961</td>\n",
       "      <td>1.193938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>20.634000</td>\n",
       "      <td>20.691000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>21.227500</td>\n",
       "      <td>21.225500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>21.829000</td>\n",
       "      <td>21.639000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>22.665500</td>\n",
       "      <td>22.796500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>24.929000</td>\n",
       "      <td>24.898000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2015       2016\n",
       "count  15.000000  15.000000\n",
       "mean   22.112600  22.056733\n",
       "std     1.139961   1.193938\n",
       "min    20.634000  20.691000\n",
       "25%    21.227500  21.225500\n",
       "50%    21.829000  21.639000\n",
       "75%    22.665500  22.796500\n",
       "max    24.929000  24.898000"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Note that the below numbers are only reflective of the first 4 months of 2015, and 2016.<br>\n",
    "2015 average genx viewership:<b> 26.97M</b>(female), <b>22.19</b>(male) <br>\n",
    "2016 average genx viewership:<b> 27.16M</b>(female), <b>22.15</b>(male) <br>\n",
    "Total difference in viewership (sum of the difference of averages for each day.):<b> +2.70M</b>(female), <b>-0.565</b>(male) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Millenials (18-34): '15 v '16\n",
    "================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0QAAAGxCAYAAABC2XatAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2af7d208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mill_fem = [6,7,8,9]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(mill_fem)]\n",
    "mill_female = total_df\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_post = tmp\n",
    "\n",
    "mill_men = [21,22,23,24]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(mill_men)]\n",
    "mill_male = total_df\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_post = tmp\n",
    "\n",
    "\n",
    "#total impressions graphing\n",
    "fig, ax = plt.subplots(1,2, sharey=True)\n",
    "sns.set_style(style='whitegrid')\n",
    "fig.set_size_inches(14, 7)\n",
    "ax[0].plot(fem_pre.index, fem_pre['impressions'], label='2015', linewidth=5, color=\"#E53D00\",alpha=0.3)\n",
    "ax[0].plot(fem_post.index, fem_post['impressions'], label='2016', linewidth=5, color=\"#E53D00\")\n",
    "ax[0].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[0].set_xlim([0,51])\n",
    "ax[0].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[0].get_xticks())])\n",
    "ax[0].set_title('FEMALE')\n",
    "ax[0].legend(**s_legend);\n",
    "\n",
    "ax[1].plot(male_pre.index, male_pre['impressions'], label='2015', linewidth=5, color=\"#21A0A0\",alpha=0.3)\n",
    "ax[1].plot(male_post.index, male_post['impressions'], label='2016', linewidth=5, color=\"#21A0A0\")\n",
    "ax[1].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[1].set_xlim([0,51])\n",
    "ax[1].set_title('MALE')\n",
    "ax[1].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[1].get_xticks())])\n",
    "ax[1].legend(**s_legend);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "male_pre.columns = ['2015']\n",
    "fem_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "fem_post.columns = ['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.82126666667\n",
      "4.5642\n",
      "-0.257066666667 -5.33\n",
      "4.1334\n",
      "3.87873333333\n",
      "-0.254666666667 -6.16\n"
     ]
    }
   ],
   "source": [
    "fem_pre.columns = ['2015']\n",
    "fem_post.columns = ['2016']\n",
    "summ = fem_pre.join(fem_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n",
    "\n",
    "male_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "summ = male_pre.join(male_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = male_pre.join(male_post).dropna()\n",
    "b = fem_pre.join(fem_post).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a['2015'] = a['2015'] + b['2015']\n",
    "a['2016'] = a['2016'] + b['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.954667</td>\n",
       "      <td>8.442933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.438521</td>\n",
       "      <td>0.540947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.418000</td>\n",
       "      <td>7.846000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.637000</td>\n",
       "      <td>7.999000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.804000</td>\n",
       "      <td>8.266000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.256000</td>\n",
       "      <td>8.867000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.899000</td>\n",
       "      <td>9.519000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2015       2016\n",
       "count  15.000000  15.000000\n",
       "mean    8.954667   8.442933\n",
       "std     0.438521   0.540947\n",
       "min     8.418000   7.846000\n",
       "25%     8.637000   7.999000\n",
       "50%     8.804000   8.266000\n",
       "75%     9.256000   8.867000\n",
       "max     9.899000   9.519000"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.511733333333"
     ]
    },
    {
     "data": {
      "text/plain": [
       "-0.057147111375818987"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print a.describe().ix['mean','2016'] - a.describe().ix['mean','2015'],\n",
    "(a.describe().ix['mean','2016'] - a.describe().ix['mean','2015']) / a.describe().ix['mean','2015']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Note that the below numbers are only reflective of the first 4 months of 2015, and 2016.<br>\n",
    "2015 average genx viewership:<b> 4.83M</b>(female), <b>4.14</b>(male) <br>\n",
    "2016 average genx viewership:<b> 4.58M</b>(female), <b>3.90</b>(male) <br>\n",
    "Total difference in viewership (sum of the difference of averages for each day.):<b> -3.52M</b>(female), <b>-3.41</b>(male) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Gen-X (Age 35-49): '15 v '16\n",
    "================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0YAAAGxCAYAAABGLKaQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nADDe/wAjWZKM+5L4kQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2f710978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genx_fem = [10,11,12]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(genx_fem)]\n",
    "genx_female = total_df\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_post = tmp\n",
    "\n",
    "genx_male = [25,26,27]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(genx_male)]\n",
    "genx_male = total_df\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_post = tmp\n",
    "\n",
    "\n",
    "#total impressions graphing\n",
    "fig, ax = plt.subplots(1,2, sharey=True)\n",
    "sns.set_style(style='whitegrid')\n",
    "fig.set_size_inches(14, 7)\n",
    "ax[0].plot(fem_pre.index, fem_pre['impressions'], label='2015', linewidth=5, color=\"#E53D00\",alpha=0.3)\n",
    "ax[0].plot(fem_post.index, fem_post['impressions'], label='2016', linewidth=5, color=\"#E53D00\")\n",
    "ax[0].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[0].set_xlim([0,51])\n",
    "ax[0].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[0].get_xticks())])\n",
    "ax[0].set_title('FEMALE')\n",
    "ax[0].legend(**s_legend);\n",
    "\n",
    "ax[1].plot(male_pre.index, male_pre['impressions'], label='2015', linewidth=5, color=\"#21A0A0\",alpha=0.3)\n",
    "ax[1].plot(male_post.index, male_post['impressions'], label='2016', linewidth=5, color=\"#21A0A0\")\n",
    "ax[1].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[1].set_xlim([0,51])\n",
    "ax[1].set_title('MALE')\n",
    "ax[1].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[1].get_xticks())])\n",
    "ax[1].legend(**s_legend);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "male_pre.columns = ['2015']\n",
    "fem_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "fem_post.columns = ['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.06286666667\n",
      "5.97346666667\n",
      "-0.0894 -1.47\n",
      "5.2644\n",
      "5.12093333333\n",
      "-0.143466666667 -2.73\n"
     ]
    }
   ],
   "source": [
    "fem_pre.columns = ['2015']\n",
    "fem_post.columns = ['2016']\n",
    "summ = fem_pre.join(fem_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n",
    "\n",
    "male_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "summ = male_pre.join(male_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = male_pre.join(male_post).dropna()\n",
    "b = fem_pre.join(fem_post).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a['2015'] = a['2015'] + b['2015']\n",
    "a['2016'] = a['2016'] + b['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>11.327267</td>\n",
       "      <td>11.094400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.666940</td>\n",
       "      <td>0.598595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>10.505000</td>\n",
       "      <td>10.249000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>10.727500</td>\n",
       "      <td>10.704500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>11.315000</td>\n",
       "      <td>11.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>11.637000</td>\n",
       "      <td>11.396000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>12.923000</td>\n",
       "      <td>12.468000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2015       2016\n",
       "count  15.000000  15.000000\n",
       "mean   11.327267  11.094400\n",
       "std     0.666940   0.598595\n",
       "min    10.505000  10.249000\n",
       "25%    10.727500  10.704500\n",
       "50%    11.315000  11.020000\n",
       "75%    11.637000  11.396000\n",
       "max    12.923000  12.468000"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.232866666667"
     ]
    },
    {
     "data": {
      "text/plain": [
       "-0.020558063433956105"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print a.describe().ix['mean','2016'] - a.describe().ix['mean','2015'],\n",
    "(a.describe().ix['mean','2016'] - a.describe().ix['mean','2015']) / a.describe().ix['mean','2015']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Note that the below numbers are only reflective of the first 4 months of 2015, and 2016.<br>\n",
    "2015 average genx viewership:<b> 6.09M</b>(female), <b>5.29</b>(male) <br>\n",
    "2016 average genx viewership:<b> 6.00M</b>(female), <b>5.15</b>(male) <br>\n",
    "Total difference in viewership (sum of the difference of averages for each day.):<b> -1.19M</b>(female), <b>-1.97</b>(male) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Boomers (Age 50-64): '15 v '16\n",
    "================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0YAAAGxCAYAAABGLKaQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2a121fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boomers_fem = [13,14]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(boomers_fem)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_post = tmp\n",
    "\n",
    "boomers_male = [28,29]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(boomers_male)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_post = tmp\n",
    "\n",
    "\n",
    "#total impressions graphing\n",
    "fig, ax = plt.subplots(1,2, sharey=True)\n",
    "sns.set_style(style='whitegrid')\n",
    "fig.set_size_inches(14, 7)\n",
    "ax[0].plot(fem_pre.index, fem_pre['impressions'], label='2015', linewidth=5, color=\"#E53D00\",alpha=0.3)\n",
    "ax[0].plot(fem_post.index, fem_post['impressions'], label='2016', linewidth=5, color=\"#E53D00\")\n",
    "ax[0].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[0].set_xlim([0,51])\n",
    "ax[0].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[0].get_xticks())])\n",
    "ax[0].set_title('FEMALE')\n",
    "ax[0].legend(**s_legend);\n",
    "\n",
    "ax[1].plot(male_pre.index, male_pre['impressions'], label='2015', linewidth=5, color=\"#21A0A0\",alpha=0.3)\n",
    "ax[1].plot(male_post.index, male_post['impressions'], label='2016', linewidth=5, color=\"#21A0A0\")\n",
    "ax[1].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[1].set_xlim([0,51])\n",
    "ax[1].set_title('MALE')\n",
    "ax[1].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[1].get_xticks())])\n",
    "ax[1].legend(**s_legend);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "male_pre.columns = ['2015']\n",
    "fem_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "fem_post.columns = ['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8.33933333333\n",
      "8.44706666667\n",
      "0.107733333333 1.29\n",
      "7.16426666667\n",
      "7.29006666667\n",
      "0.1258 1.76\n"
     ]
    }
   ],
   "source": [
    "fem_pre.columns = ['2015']\n",
    "fem_post.columns = ['2016']\n",
    "summ = fem_pre.join(fem_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n",
    "\n",
    "male_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "summ = male_pre.join(male_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = male_pre.join(male_post).dropna()\n",
    "b = fem_pre.join(fem_post).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a['2015'] = a['2015'] + b['2015']\n",
    "a['2016'] = a['2016'] + b['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>15.503600</td>\n",
       "      <td>15.737133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.671059</td>\n",
       "      <td>0.706757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>14.650000</td>\n",
       "      <td>14.816000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>14.921500</td>\n",
       "      <td>15.167500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>15.429000</td>\n",
       "      <td>15.692000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15.901000</td>\n",
       "      <td>16.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.008000</td>\n",
       "      <td>17.306000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2015       2016\n",
       "count  15.000000  15.000000\n",
       "mean   15.503600  15.737133\n",
       "std     0.671059   0.706757\n",
       "min    14.650000  14.816000\n",
       "25%    14.921500  15.167500\n",
       "50%    15.429000  15.692000\n",
       "75%    15.901000  16.080000\n",
       "max    17.008000  17.306000"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.233533333333"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.015063168124392413"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print a.describe().ix['mean','2016'] - a.describe().ix['mean','2015'],\n",
    "(a.describe().ix['mean','2016'] - a.describe().ix['mean','2015']) / a.describe().ix['mean','2015']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Note that the below numbers are only reflective of the first 4 months of 2015, and 2016.<br>\n",
    "2015 average boomers viewership:<b> 8.36M</b>(female), <b>7.19</b>(male) <br>\n",
    "2016 average boomers viewership:<b> 8.47M</b>(female), <b>7.32</b>(male) <br>\n",
    "Total difference in viewership (sum of the difference of averages for each day.):<b> +1.61M</b>(female), <b>+1.86</b>(male) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Seniors (Age 65+): '15 v '16\n",
    "================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0YAAAGxCAYAAABGLKaQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIqKyx40RERERERGVPW6MiIiIiIio7P0HnGgZYcgFVsEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2adaa748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "seniors_fem = [15]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(seniors_fem)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "fem_post = tmp\n",
    "\n",
    "seniors_male = [30]\n",
    "\n",
    "#pre tot\n",
    "total_df = df[df['DemographicGroupDimID'].isin(seniors_male)]\n",
    "\n",
    "pre = total_df[(total_df['datetime'] < datetime(year=2015,month=12,day=28)) & \n",
    "               (total_df['datetime'] >= datetime(year=2014,month=12,day=29))]\n",
    "tmp = pre.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2014, month=12,day=29)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_pre = tmp\n",
    "\n",
    "#post tot\n",
    "post = total_df[total_df['datetime'] >= datetime(year=2015,month=12,day=28)]\n",
    "tmp = post.groupby(['datetime', 'date']).sum().reset_index()\n",
    "tmp['delta'] = tmp['date'] - datetime(year=2015, month=12,day=28)\n",
    "tmp['delta'] = tmp['delta'].apply(lambda x: x.days)\n",
    "tmp['week'] = tmp['delta'] // 7\n",
    "tmp = tmp.groupby('week').mean()\n",
    "tmp['impressions'] = tmp['impressions'].apply(lambda x: round(x/1000000.0,3))\n",
    "del tmp['DemographicGroupDimID']\n",
    "del tmp['delta']\n",
    "male_post = tmp\n",
    "\n",
    "\n",
    "#total impressions graphing\n",
    "fig, ax = plt.subplots(1,2, sharey=True)\n",
    "sns.set_style(style='whitegrid')\n",
    "fig.set_size_inches(14, 7)\n",
    "ax[0].plot(fem_pre.index, fem_pre['impressions'], label='2015', linewidth=5, color=\"#E53D00\",alpha=0.3)\n",
    "ax[0].plot(fem_post.index, fem_post['impressions'], label='2016', linewidth=5, color=\"#E53D00\")\n",
    "ax[0].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[0].set_xlim([0,51])\n",
    "ax[0].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[0].get_xticks())])\n",
    "ax[0].set_title('FEMALE')\n",
    "ax[0].legend(**s_legend);\n",
    "\n",
    "ax[1].plot(male_pre.index, male_pre['impressions'], label='2015', linewidth=5, color=\"#21A0A0\",alpha=0.3)\n",
    "ax[1].plot(male_post.index, male_post['impressions'], label='2016', linewidth=5, color=\"#21A0A0\")\n",
    "ax[1].set_ylabel('IMPRESSIONS (M)', **y_label)\n",
    "ax[1].set_xlim([0,51])\n",
    "ax[1].set_title('MALE')\n",
    "ax[1].set_xticklabels([(datetime(year=2015,month=12,day=28)+timedelta(days=7*(x))).strftime('%b') for x in list(ax[1].get_xticks())])\n",
    "ax[1].legend(**s_legend);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "male_pre.columns = ['2015']\n",
    "fem_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "fem_post.columns = ['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.66733333333\n",
      "8.0856\n",
      "0.418266666667 5.46\n",
      "5.55086666667\n",
      "5.76686666667\n",
      "0.216 3.89\n"
     ]
    }
   ],
   "source": [
    "fem_pre.columns = ['2015']\n",
    "fem_post.columns = ['2016']\n",
    "summ = fem_pre.join(fem_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)\n",
    "\n",
    "male_pre.columns = ['2015']\n",
    "male_post.columns = ['2016']\n",
    "summ = male_pre.join(male_post).dropna()\n",
    "print summ['2015'].mean()\n",
    "print summ['2016'].mean()\n",
    "print summ['2016'].mean() - summ['2015'].mean(), round((summ['2016'].mean() - summ['2015'].mean())/summ['2015'].mean()*100,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = male_pre.join(male_post).dropna()\n",
    "b = fem_pre.join(fem_post).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a['2015'] = a['2015'] + b['2015']\n",
    "a['2016'] = a['2016'] + b['2016']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>13.218200</td>\n",
       "      <td>13.852467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.428699</td>\n",
       "      <td>0.422620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>12.506000</td>\n",
       "      <td>13.341000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>12.845000</td>\n",
       "      <td>13.530500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>13.240000</td>\n",
       "      <td>13.734000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13.494000</td>\n",
       "      <td>14.094500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>13.865000</td>\n",
       "      <td>14.640000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            2015       2016\n",
       "count  15.000000  15.000000\n",
       "mean   13.218200  13.852467\n",
       "std     0.428699   0.422620\n",
       "min    12.506000  13.341000\n",
       "25%    12.845000  13.530500\n",
       "50%    13.240000  13.734000\n",
       "75%    13.494000  14.094500\n",
       "max    13.865000  14.640000"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.634266666667"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.047984344817499129"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "print a.describe().ix['mean','2016'] - a.describe().ix['mean','2015'],\n",
    "(a.describe().ix['mean','2016'] - a.describe().ix['mean','2015']) / a.describe().ix['mean','2015']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "Note that the below numbers are only reflective of the first 4 months of 2015, and 2016.<br>\n",
    "2015 average seniors viewership:<b> 7.68M</b>(female), <b>5.56</b>(male) <br>\n",
    "2016 average seniors viewership:<b> 8.10M</b>(female), <b>5.77</b>(male) <br>\n",
    "Total difference in viewership (sum of the difference of averages for each day.):<b> +5.79M</b>(female), <b>+2.95</b>(male) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Summary of Demographic Changes: '15 v '16\n",
    "================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 499,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [],
   "source": [
    "summ_table = pd.DataFrame({'MALE' : [-3.41,-1.19,1.61,5.79], 'FEMALE' : [-3.52,-1.97,1.86,2.95], 'AGE' : ['Millenial', 'Genx', 'Boomer', 'Senior']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <style  type=\"text/css\" >\n",
       "        \n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow0_col0 {\n",
       "            \n",
       "                background-color:  #c3553a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow0_col1 {\n",
       "            \n",
       "                background-color:  #c3553a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow1_col0 {\n",
       "            \n",
       "                background-color:  #dea293;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow1_col1 {\n",
       "            \n",
       "                background-color:  #dea293;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow2_col0 {\n",
       "            \n",
       "                background-color:  #7fae78;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow2_col1 {\n",
       "            \n",
       "                background-color:  #e6f2e5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow3_col0 {\n",
       "            \n",
       "                background-color:  #428638;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow3_col1 {\n",
       "            \n",
       "                background-color:  #428638;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85e\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"col_heading level0 col0\">FEMALE\n",
       "                \n",
       "                <th class=\"col_heading level0 col1\">MALE\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th class=\"col_heading level2 col0\">AGE\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85e\" class=\"row_heading level0 row0\">\n",
       "                    Millenial\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow0_col0\" class=\"data row0 col0\">\n",
       "                    -3.52\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow0_col1\" class=\"data row0 col1\">\n",
       "                    -3.41\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85e\" class=\"row_heading level1 row1\">\n",
       "                    Genx\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow1_col0\" class=\"data row1 col0\">\n",
       "                    -1.97\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow1_col1\" class=\"data row1 col1\">\n",
       "                    -1.19\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85e\" class=\"row_heading level1 row2\">\n",
       "                    Boomer\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow2_col0\" class=\"data row2 col0\">\n",
       "                    1.86\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow2_col1\" class=\"data row2 col1\">\n",
       "                    1.61\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85e\" class=\"row_heading level1 row3\">\n",
       "                    Senior\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow3_col0\" class=\"data row3 col0\">\n",
       "                    2.95\n",
       "                \n",
       "                <td id=\"T_156a2fcf_08cc_11e6_b4bb_5cc5d460b85erow3_col1\" class=\"data row3 col1\">\n",
       "                    5.79\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.core.style.Styler at 0x227f9780>"
      ]
     },
     "execution_count": 500,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm = sns.diverging_palette(20, 125, n=7, as_cmap=True)\n",
    "summ_table.set_index('AGE').style.background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "Group Report Cards [Millenials]\n",
    "================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "# Grade: <font color=\"red\">D</font>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "heat_map = pd.read_csv('heat_map.csv').rename(columns = {'Unnamed: 0' : 'Station'}).replace([np.inf, -np.inf], np.nan).dropna()\n",
    "millenials = heat_map[[0,3,4,5,6,-1]].set_index('Station')\n",
    "millenials['females'] = millenials[millenials.columns[0]] + millenials[millenials.columns[2]]\n",
    "millenials['males'] = millenials[millenials.columns[1]] + millenials[millenials.columns[3]]\n",
    "millenials['%fem'] = millenials.females / millenials.aud\n",
    "millenials['%male'] = millenials.males / millenials.aud\n",
    "millenials['%fem'] = millenials['%fem'].apply(lambda x: round(x*100.0,2))\n",
    "millenials['%male'] =millenials['%male'].apply(lambda x: round(x*100.0,2))\n",
    "for colum in millenials.columns[:4]:\n",
    "    millenials[colum] = millenials[colum].apply(lambda x: round(x/1000.0,2))\n",
    "millenials['females'] = millenials['females'].apply(lambda x: round(x/1000.0,2))\n",
    "millenials['males'] = millenials['males'].apply(lambda x: round(x/1000.0,2))\n",
    "millenials['aud'] = millenials['aud'].apply(lambda x: round(x/1000.0,2))\n",
    "cols = ['aud'] + [col for col in millenials if col != 'aud']\n",
    "millenials = millenials[cols]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Group Report Cards [Millenials]: Station Performance\n",
    "=================\n",
    "Note that values are in thousands of viewers excepting the %fem and %male columns which indicate % changes in audience relative to total audience. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <style  type=\"text/css\" >\n",
       "        \n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col0 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col1 {\n",
       "            \n",
       "                background-color:  #4ba94b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col2 {\n",
       "            \n",
       "                background-color:  #078407;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col3 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col4 {\n",
       "            \n",
       "                background-color:  #1b8f1b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col5 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col6 {\n",
       "            \n",
       "                background-color:  #168c16;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col7 {\n",
       "            \n",
       "                background-color:  #73c073;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col8 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col0 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col1 {\n",
       "            \n",
       "                background-color:  #a9dea9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col2 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col3 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col4 {\n",
       "            \n",
       "                background-color:  #70be70;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col5 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col6 {\n",
       "            \n",
       "                background-color:  #6ebd6e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col7 {\n",
       "            \n",
       "                background-color:  #a1d9a1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col8 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col0 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col1 {\n",
       "            \n",
       "                background-color:  #64b764;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col2 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col3 {\n",
       "            \n",
       "                background-color:  #47a747;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col4 {\n",
       "            \n",
       "                background-color:  #66b866;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col6 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col7 {\n",
       "            \n",
       "                background-color:  #79c379;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col8 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col0 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col1 {\n",
       "            \n",
       "                background-color:  #6fbd6f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col2 {\n",
       "            \n",
       "                background-color:  #80c780;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col3 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col4 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col5 {\n",
       "            \n",
       "                background-color:  #70be70;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col6 {\n",
       "            \n",
       "                background-color:  #dffcdf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col7 {\n",
       "            \n",
       "                background-color:  #84c984;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col8 {\n",
       "            \n",
       "                background-color:  #7ec67e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col0 {\n",
       "            \n",
       "                background-color:  #3fa33f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col1 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col2 {\n",
       "            \n",
       "                background-color:  #219221;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col3 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col4 {\n",
       "            \n",
       "                background-color:  #239323;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col5 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col6 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col7 {\n",
       "            \n",
       "                background-color:  #71bf71;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col8 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col0 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col1 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col2 {\n",
       "            \n",
       "                background-color:  #a0d9a0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col3 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col4 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col5 {\n",
       "            \n",
       "                background-color:  #c2ebc2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col6 {\n",
       "            \n",
       "                background-color:  #7dc57d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col7 {\n",
       "            \n",
       "                background-color:  #9dd79d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col8 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col0 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col1 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col2 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col3 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col4 {\n",
       "            \n",
       "                background-color:  #86ca86;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col5 {\n",
       "            \n",
       "                background-color:  #6bbb6b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col6 {\n",
       "            \n",
       "                background-color:  #8bcd8b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col7 {\n",
       "            \n",
       "                background-color:  #85ca85;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col8 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col0 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col1 {\n",
       "            \n",
       "                background-color:  #66b866;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col2 {\n",
       "            \n",
       "                background-color:  #219221;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col3 {\n",
       "            \n",
       "                background-color:  #9dd79d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col4 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col5 {\n",
       "            \n",
       "                background-color:  #83c983;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col6 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col7 {\n",
       "            \n",
       "                background-color:  #8ecf8e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col8 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col0 {\n",
       "            \n",
       "                background-color:  #63b763;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col1 {\n",
       "            \n",
       "                background-color:  #9ad59a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col2 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col3 {\n",
       "            \n",
       "                background-color:  #6dbc6d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col4 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col5 {\n",
       "            \n",
       "                background-color:  #85ca85;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col6 {\n",
       "            \n",
       "                background-color:  #6bbb6b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col7 {\n",
       "            \n",
       "                background-color:  #8fcf8f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col8 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col0 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col1 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col3 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col4 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col5 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col6 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col7 {\n",
       "            \n",
       "                background-color:  #7bc47b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col8 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col0 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col1 {\n",
       "            \n",
       "                background-color:  #77c277;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col2 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col3 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col4 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col5 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col6 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col7 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col8 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col0 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col1 {\n",
       "            \n",
       "                background-color:  #87cb87;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col2 {\n",
       "            \n",
       "                background-color:  #6fbd6f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col3 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col4 {\n",
       "            \n",
       "                background-color:  #80c780;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col5 {\n",
       "            \n",
       "                background-color:  #85ca85;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col6 {\n",
       "            \n",
       "                background-color:  #94d294;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col7 {\n",
       "            \n",
       "                background-color:  #93d193;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col8 {\n",
       "            \n",
       "                background-color:  #74c074;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col0 {\n",
       "            \n",
       "                background-color:  #77c277;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col1 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col2 {\n",
       "            \n",
       "                background-color:  #1f911f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col3 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col4 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col5 {\n",
       "            \n",
       "                background-color:  #209220;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col6 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col7 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col8 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col0 {\n",
       "            \n",
       "                background-color:  #7dc57d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col1 {\n",
       "            \n",
       "                background-color:  #45a645;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col2 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col3 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col4 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col5 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col6 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col7 {\n",
       "            \n",
       "                background-color:  #6bbb6b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col8 {\n",
       "            \n",
       "                background-color:  #219221;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col0 {\n",
       "            \n",
       "                background-color:  #7ec67e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col1 {\n",
       "            \n",
       "                background-color:  #8acc8a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col2 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col3 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col4 {\n",
       "            \n",
       "                background-color:  #6dbc6d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col5 {\n",
       "            \n",
       "                background-color:  #6ebd6e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col6 {\n",
       "            \n",
       "                background-color:  #82c882;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col7 {\n",
       "            \n",
       "                background-color:  #8acc8a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col8 {\n",
       "            \n",
       "                background-color:  #6ebd6e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col0 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col1 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col2 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col3 {\n",
       "            \n",
       "                background-color:  #69ba69;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col4 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col5 {\n",
       "            \n",
       "                background-color:  #61b661;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col6 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col7 {\n",
       "            \n",
       "                background-color:  #84c984;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col8 {\n",
       "            \n",
       "                background-color:  #54ae54;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col0 {\n",
       "            \n",
       "                background-color:  #81c781;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col1 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col2 {\n",
       "            \n",
       "                background-color:  #69ba69;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col3 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col4 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col5 {\n",
       "            \n",
       "                background-color:  #138a13;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col6 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col7 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col8 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col0 {\n",
       "            \n",
       "                background-color:  #85ca85;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col1 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col2 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col3 {\n",
       "            \n",
       "                background-color:  #028102;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col4 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col5 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col6 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col7 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col8 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col0 {\n",
       "            \n",
       "                background-color:  #8acc8a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col1 {\n",
       "            \n",
       "                background-color:  #7ac37a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col2 {\n",
       "            \n",
       "                background-color:  #209220;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col3 {\n",
       "            \n",
       "                background-color:  #7dc57d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col4 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col5 {\n",
       "            \n",
       "                background-color:  #7bc47b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col6 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col7 {\n",
       "            \n",
       "                background-color:  #93d193;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col8 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col0 {\n",
       "            \n",
       "                background-color:  #90d090;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col1 {\n",
       "            \n",
       "                background-color:  #82c882;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col2 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col3 {\n",
       "            \n",
       "                background-color:  #91d091;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col4 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col5 {\n",
       "            \n",
       "                background-color:  #8ecf8e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col6 {\n",
       "            \n",
       "                background-color:  #47a747;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col7 {\n",
       "            \n",
       "                background-color:  #9ed89e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col8 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col0 {\n",
       "            \n",
       "                background-color:  #91d091;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col1 {\n",
       "            \n",
       "                background-color:  #d3f5d3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col2 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col3 {\n",
       "            \n",
       "                background-color:  #82c882;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col4 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col5 {\n",
       "            \n",
       "                background-color:  #bbe8bb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col6 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col7 {\n",
       "            \n",
       "                background-color:  #b8e6b8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col8 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col0 {\n",
       "            \n",
       "                background-color:  #91d091;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col1 {\n",
       "            \n",
       "                background-color:  #b4e4b4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col2 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col3 {\n",
       "            \n",
       "                background-color:  #bce8bc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col4 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col5 {\n",
       "            \n",
       "                background-color:  #cff3cf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col6 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col7 {\n",
       "            \n",
       "                background-color:  #c3ecc3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col8 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col0 {\n",
       "            \n",
       "                background-color:  #93d193;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col1 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col2 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col3 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col4 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col5 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col6 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col7 {\n",
       "            \n",
       "                background-color:  #72bf72;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col8 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col0 {\n",
       "            \n",
       "                background-color:  #97d497;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col1 {\n",
       "            \n",
       "                background-color:  #6fbd6f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col2 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col3 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col4 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col5 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col6 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col7 {\n",
       "            \n",
       "                background-color:  #76c176;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col8 {\n",
       "            \n",
       "                background-color:  #47a747;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col0 {\n",
       "            \n",
       "                background-color:  #97d497;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col1 {\n",
       "            \n",
       "                background-color:  #7dc57d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col2 {\n",
       "            \n",
       "                background-color:  #b6e5b6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col3 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col4 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col5 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col6 {\n",
       "            \n",
       "                background-color:  #9bd69b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col7 {\n",
       "            \n",
       "                background-color:  #81c781;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col8 {\n",
       "            \n",
       "                background-color:  #8dce8d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col0 {\n",
       "            \n",
       "                background-color:  #9bd69b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col1 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col2 {\n",
       "            \n",
       "                background-color:  #1f911f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col3 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col4 {\n",
       "            \n",
       "                background-color:  #1d901d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col5 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col6 {\n",
       "            \n",
       "                background-color:  #259425;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col7 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col8 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col0 {\n",
       "            \n",
       "                background-color:  #9cd69c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col2 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col3 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col4 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col5 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col6 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col7 {\n",
       "            \n",
       "                background-color:  #7dc57d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col8 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col0 {\n",
       "            \n",
       "                background-color:  #a6dca6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col1 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col2 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col3 {\n",
       "            \n",
       "                background-color:  #70be70;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col4 {\n",
       "            \n",
       "                background-color:  #96d396;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col5 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col6 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col7 {\n",
       "            \n",
       "                background-color:  #99d599;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col8 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col0 {\n",
       "            \n",
       "                background-color:  #a8dda8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col1 {\n",
       "            \n",
       "                background-color:  #62b662;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col2 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col3 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col4 {\n",
       "            \n",
       "                background-color:  #47a747;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col5 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col6 {\n",
       "            \n",
       "                background-color:  #54ae54;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col7 {\n",
       "            \n",
       "                background-color:  #82c882;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col8 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col0 {\n",
       "            \n",
       "                background-color:  #a8dda8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col3 {\n",
       "            \n",
       "                background-color:  #66b866;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col4 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col5 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col6 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col7 {\n",
       "            \n",
       "                background-color:  #81c781;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col8 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col0 {\n",
       "            \n",
       "                background-color:  #a9dea9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col1 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col2 {\n",
       "            \n",
       "                background-color:  #279527;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col3 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col4 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col5 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col6 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col7 {\n",
       "            \n",
       "                background-color:  #65b865;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col8 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col0 {\n",
       "            \n",
       "                background-color:  #aadeaa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col1 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col2 {\n",
       "            \n",
       "                background-color:  #1c8f1c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col3 {\n",
       "            \n",
       "                background-color:  #72bf72;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col4 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col5 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col6 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col7 {\n",
       "            \n",
       "                background-color:  #8bcd8b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col8 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col0 {\n",
       "            \n",
       "                background-color:  #acdfac;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col1 {\n",
       "            \n",
       "                background-color:  #a6dca6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col2 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col3 {\n",
       "            \n",
       "                background-color:  #81c781;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col4 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col5 {\n",
       "            \n",
       "                background-color:  #9dd79d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col6 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col7 {\n",
       "            \n",
       "                background-color:  #bae7ba;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col8 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col0 {\n",
       "            \n",
       "                background-color:  #aee0ae;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col1 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col2 {\n",
       "            \n",
       "                background-color:  #269526;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col4 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col5 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col6 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col7 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col8 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col0 {\n",
       "            \n",
       "                background-color:  #b0e2b0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col1 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col2 {\n",
       "            \n",
       "                background-color:  #1e901e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col3 {\n",
       "            \n",
       "                background-color:  #64b764;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col4 {\n",
       "            \n",
       "                background-color:  #229322;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col5 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col6 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col7 {\n",
       "            \n",
       "                background-color:  #7ec67e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col8 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col0 {\n",
       "            \n",
       "                background-color:  #b2e3b2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col1 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col2 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col3 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col4 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col5 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col6 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col7 {\n",
       "            \n",
       "                background-color:  #7cc57c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col8 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col0 {\n",
       "            \n",
       "                background-color:  #b3e3b3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col1 {\n",
       "            \n",
       "                background-color:  #63b763;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col2 {\n",
       "            \n",
       "                background-color:  #4ba94b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col3 {\n",
       "            \n",
       "                background-color:  #70be70;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col4 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col5 {\n",
       "            \n",
       "                background-color:  #62b662;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col6 {\n",
       "            \n",
       "                background-color:  #62b662;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col7 {\n",
       "            \n",
       "                background-color:  #8ecf8e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col8 {\n",
       "            \n",
       "                background-color:  #71bf71;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col0 {\n",
       "            \n",
       "                background-color:  #b3e3b3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col1 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col2 {\n",
       "            \n",
       "                background-color:  #0c860c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col3 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col4 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col5 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col6 {\n",
       "            \n",
       "                background-color:  #229322;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col7 {\n",
       "            \n",
       "                background-color:  #73c073;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col8 {\n",
       "            \n",
       "                background-color:  #279527;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col0 {\n",
       "            \n",
       "                background-color:  #b3e3b3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col1 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col2 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col3 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col4 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col5 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col6 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col7 {\n",
       "            \n",
       "                background-color:  #89cc89;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col8 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col0 {\n",
       "            \n",
       "                background-color:  #b4e4b4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col2 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col3 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col4 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col5 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col6 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col7 {\n",
       "            \n",
       "                background-color:  #7cc57c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col8 {\n",
       "            \n",
       "                background-color:  #6dbc6d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col0 {\n",
       "            \n",
       "                background-color:  #b5e4b5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col1 {\n",
       "            \n",
       "                background-color:  #a9dea9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col2 {\n",
       "            \n",
       "                background-color:  #6dbc6d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col3 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col4 {\n",
       "            \n",
       "                background-color:  #54ae54;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col5 {\n",
       "            \n",
       "                background-color:  #72bf72;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col6 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col7 {\n",
       "            \n",
       "                background-color:  #9fd89f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col8 {\n",
       "            \n",
       "                background-color:  #8acc8a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col0 {\n",
       "            \n",
       "                background-color:  #b6e5b6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col1 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col2 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col4 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col5 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col6 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col7 {\n",
       "            \n",
       "                background-color:  #7fc67f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col8 {\n",
       "            \n",
       "                background-color:  #54ae54;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col0 {\n",
       "            \n",
       "                background-color:  #bae7ba;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col1 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col2 {\n",
       "            \n",
       "                background-color:  #088408;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col3 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col4 {\n",
       "            \n",
       "                background-color:  #209220;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col5 {\n",
       "            \n",
       "                background-color:  #068306;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col6 {\n",
       "            \n",
       "                background-color:  #1a8e1a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col7 {\n",
       "            \n",
       "                background-color:  #339c33;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col8 {\n",
       "            \n",
       "                background-color:  #178d17;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col0 {\n",
       "            \n",
       "                background-color:  #bbe8bb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col1 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col2 {\n",
       "            \n",
       "                background-color:  #1b8f1b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col3 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col5 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col6 {\n",
       "            \n",
       "                background-color:  #339c33;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col7 {\n",
       "            \n",
       "                background-color:  #6dbc6d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col8 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col0 {\n",
       "            \n",
       "                background-color:  #bbe8bb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col1 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col2 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col3 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col4 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col5 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col6 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col7 {\n",
       "            \n",
       "                background-color:  #8acc8a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col8 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col0 {\n",
       "            \n",
       "                background-color:  #bce8bc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col1 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col2 {\n",
       "            \n",
       "                background-color:  #239323;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col3 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col4 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col5 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col6 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col7 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col8 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col0 {\n",
       "            \n",
       "                background-color:  #bce8bc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col2 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col3 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col4 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col5 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col6 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col7 {\n",
       "            \n",
       "                background-color:  #84c984;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col8 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col0 {\n",
       "            \n",
       "                background-color:  #bee9be;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col1 {\n",
       "            \n",
       "                background-color:  #87cb87;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col2 {\n",
       "            \n",
       "                background-color:  #259425;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col3 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col4 {\n",
       "            \n",
       "                background-color:  #188d18;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col5 {\n",
       "            \n",
       "                background-color:  #65b865;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col6 {\n",
       "            \n",
       "                background-color:  #259425;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col7 {\n",
       "            \n",
       "                background-color:  #96d396;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col8 {\n",
       "            \n",
       "                background-color:  #239323;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col0 {\n",
       "            \n",
       "                background-color:  #c2ebc2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col1 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col2 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col4 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col5 {\n",
       "            \n",
       "                background-color:  #49a849;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col6 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col7 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col8 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col0 {\n",
       "            \n",
       "                background-color:  #c2ecc2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col1 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col2 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col4 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col5 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col6 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col7 {\n",
       "            \n",
       "                background-color:  #80c780;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col8 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col0 {\n",
       "            \n",
       "                background-color:  #c6eec6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col1 {\n",
       "            \n",
       "                background-color:  #69ba69;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col2 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col3 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col4 {\n",
       "            \n",
       "                background-color:  #3fa33f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col5 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col6 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col7 {\n",
       "            \n",
       "                background-color:  #8acc8a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col8 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col0 {\n",
       "            \n",
       "                background-color:  #c7eec7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col1 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col2 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col3 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col4 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col5 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col6 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col7 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col8 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col0 {\n",
       "            \n",
       "                background-color:  #caf0ca;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col1 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col2 {\n",
       "            \n",
       "                background-color:  #3fa33f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col3 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col4 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col5 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col6 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col7 {\n",
       "            \n",
       "                background-color:  #69ba69;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col8 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col0 {\n",
       "            \n",
       "                background-color:  #caf0ca;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col2 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col4 {\n",
       "            \n",
       "                background-color:  #339c33;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col5 {\n",
       "            \n",
       "                background-color:  #4ba94b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col6 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col7 {\n",
       "            \n",
       "                background-color:  #7ac37a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col8 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col0 {\n",
       "            \n",
       "                background-color:  #ccf1cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col1 {\n",
       "            \n",
       "                background-color:  #7ac47a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col2 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col3 {\n",
       "            \n",
       "                background-color:  #79c379;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col4 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col5 {\n",
       "            \n",
       "                background-color:  #79c379;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col6 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col7 {\n",
       "            \n",
       "                background-color:  #c7eec7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col8 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col0 {\n",
       "            \n",
       "                background-color:  #ccf1cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col1 {\n",
       "            \n",
       "                background-color:  #6bbb6b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col2 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col3 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col5 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col6 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col7 {\n",
       "            \n",
       "                background-color:  #8bcd8b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col8 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col0 {\n",
       "            \n",
       "                background-color:  #ccf1cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col2 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col3 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col4 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col5 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col6 {\n",
       "            \n",
       "                background-color:  #45a645;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col7 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col8 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col0 {\n",
       "            \n",
       "                background-color:  #cdf2cd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col3 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col4 {\n",
       "            \n",
       "                background-color:  #279527;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col5 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col6 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col7 {\n",
       "            \n",
       "                background-color:  #81c781;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col8 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col0 {\n",
       "            \n",
       "                background-color:  #cdf2cd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col2 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col3 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col5 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col6 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col7 {\n",
       "            \n",
       "                background-color:  #7ac47a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col8 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col0 {\n",
       "            \n",
       "                background-color:  #cef2ce;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col2 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col3 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col4 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col5 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col6 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col7 {\n",
       "            \n",
       "                background-color:  #83c983;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col8 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col0 {\n",
       "            \n",
       "                background-color:  #d0f3d0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col2 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col3 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col4 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col5 {\n",
       "            \n",
       "                background-color:  #4ba94b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col6 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col7 {\n",
       "            \n",
       "                background-color:  #7ac37a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col8 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col0 {\n",
       "            \n",
       "                background-color:  #d1f4d1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col1 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col2 {\n",
       "            \n",
       "                background-color:  #339c33;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col3 {\n",
       "            \n",
       "                background-color:  #97d497;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col4 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col5 {\n",
       "            \n",
       "                background-color:  #7cc57c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col6 {\n",
       "            \n",
       "                background-color:  #47a747;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col7 {\n",
       "            \n",
       "                background-color:  #dcfadc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow61_col8 {\n",
       "            \n",
       "                background-color:  #63b763;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col0 {\n",
       "            \n",
       "                background-color:  #d1f4d1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col1 {\n",
       "            \n",
       "                background-color:  #78c278;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col2 {\n",
       "            \n",
       "                background-color:  #74c074;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col3 {\n",
       "            \n",
       "                background-color:  #74c074;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col4 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col5 {\n",
       "            \n",
       "                background-color:  #74c074;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col6 {\n",
       "            \n",
       "                background-color:  #77c277;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col7 {\n",
       "            \n",
       "                background-color:  #ccf1cc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow62_col8 {\n",
       "            \n",
       "                background-color:  #ddfbdd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col0 {\n",
       "            \n",
       "                background-color:  #d1f4d1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col1 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col3 {\n",
       "            \n",
       "                background-color:  #1d901d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col4 {\n",
       "            \n",
       "                background-color:  #0f880f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col5 {\n",
       "            \n",
       "                background-color:  #0e880e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col6 {\n",
       "            \n",
       "                background-color:  #219221;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col7 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow63_col8 {\n",
       "            \n",
       "                background-color:  #008000;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col0 {\n",
       "            \n",
       "                background-color:  #d1f4d1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col2 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col3 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col4 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col5 {\n",
       "            \n",
       "                background-color:  #49a849;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col6 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col7 {\n",
       "            \n",
       "                background-color:  #76c176;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow64_col8 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col0 {\n",
       "            \n",
       "                background-color:  #d3f5d3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col2 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col3 {\n",
       "            \n",
       "                background-color:  #61b661;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col4 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col5 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col6 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col7 {\n",
       "            \n",
       "                background-color:  #87cb87;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow65_col8 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col0 {\n",
       "            \n",
       "                background-color:  #d4f6d4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col1 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col2 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col3 {\n",
       "            \n",
       "                background-color:  #5db35d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col4 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col5 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col6 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col7 {\n",
       "            \n",
       "                background-color:  #7cc57c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow66_col8 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col0 {\n",
       "            \n",
       "                background-color:  #d4f6d4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col2 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col3 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col4 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col5 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col6 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col7 {\n",
       "            \n",
       "                background-color:  #66b866;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow67_col8 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col0 {\n",
       "            \n",
       "                background-color:  #d5f6d5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col1 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col2 {\n",
       "            \n",
       "                background-color:  #249424;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col3 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col4 {\n",
       "            \n",
       "                background-color:  #269526;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col5 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col6 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col7 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow68_col8 {\n",
       "            \n",
       "                background-color:  #168c16;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col0 {\n",
       "            \n",
       "                background-color:  #d6f7d6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col2 {\n",
       "            \n",
       "                background-color:  #2d992d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col3 {\n",
       "            \n",
       "                background-color:  #62b662;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col5 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col6 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col7 {\n",
       "            \n",
       "                background-color:  #87cb87;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow69_col8 {\n",
       "            \n",
       "                background-color:  #49a849;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col0 {\n",
       "            \n",
       "                background-color:  #d6f7d6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col1 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col3 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col4 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col5 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col6 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col7 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow70_col8 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col0 {\n",
       "            \n",
       "                background-color:  #d7f7d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col1 {\n",
       "            \n",
       "                background-color:  #66b866;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col4 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col5 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col6 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col7 {\n",
       "            \n",
       "                background-color:  #94d294;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow71_col8 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col0 {\n",
       "            \n",
       "                background-color:  #d7f7d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col2 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col3 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col4 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col6 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col7 {\n",
       "            \n",
       "                background-color:  #6dbc6d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow72_col8 {\n",
       "            \n",
       "                background-color:  #299729;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col0 {\n",
       "            \n",
       "                background-color:  #d7f7d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col1 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col2 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col3 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col4 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col5 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col6 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col7 {\n",
       "            \n",
       "                background-color:  #66b866;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow73_col8 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col0 {\n",
       "            \n",
       "                background-color:  #d7f7d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col2 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col3 {\n",
       "            \n",
       "                background-color:  #50ac50;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col4 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col6 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col7 {\n",
       "            \n",
       "                background-color:  #6cbc6c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow74_col8 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col0 {\n",
       "            \n",
       "                background-color:  #d8f8d8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col1 {\n",
       "            \n",
       "                background-color:  #77c277;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col3 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col5 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col6 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col7 {\n",
       "            \n",
       "                background-color:  #a7dda7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow75_col8 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col0 {\n",
       "            \n",
       "                background-color:  #d9f8d9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col3 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col4 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col5 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col6 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col7 {\n",
       "            \n",
       "                background-color:  #65b865;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow76_col8 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col0 {\n",
       "            \n",
       "                background-color:  #d9f8d9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col3 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col4 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col5 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col6 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col7 {\n",
       "            \n",
       "                background-color:  #7dc57d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow77_col8 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col0 {\n",
       "            \n",
       "                background-color:  #daf9da;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col3 {\n",
       "            \n",
       "                background-color:  #54ae54;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col4 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col6 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col7 {\n",
       "            \n",
       "                background-color:  #6abb6a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow78_col8 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col0 {\n",
       "            \n",
       "                background-color:  #dbf9db;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col3 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col4 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col5 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col6 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col7 {\n",
       "            \n",
       "                background-color:  #82c882;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow79_col8 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col0 {\n",
       "            \n",
       "                background-color:  #dcfadc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col1 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col2 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col3 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col4 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col6 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col7 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow80_col8 {\n",
       "            \n",
       "                background-color:  #6bbb6b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col0 {\n",
       "            \n",
       "                background-color:  #dcfadc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col1 {\n",
       "            \n",
       "                background-color:  #89cc89;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col2 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col3 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col4 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col5 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col6 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col7 {\n",
       "            \n",
       "                background-color:  #e2fde2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow81_col8 {\n",
       "            \n",
       "                background-color:  #a5dba5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col0 {\n",
       "            \n",
       "                background-color:  #dcfadc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col3 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col4 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col5 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col6 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col7 {\n",
       "            \n",
       "                background-color:  #70be70;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow82_col8 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col1 {\n",
       "            \n",
       "                background-color:  #63b763;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col3 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col4 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col5 {\n",
       "            \n",
       "                background-color:  #51ad51;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col6 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col7 {\n",
       "            \n",
       "                background-color:  #95d395;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow83_col8 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col1 {\n",
       "            \n",
       "                background-color:  #61b661;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col2 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col3 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col4 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col5 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col6 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col7 {\n",
       "            \n",
       "                background-color:  #bee9be;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow84_col8 {\n",
       "            \n",
       "                background-color:  #71bf71;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col1 {\n",
       "            \n",
       "                background-color:  #5db35d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col3 {\n",
       "            \n",
       "                background-color:  #73c073;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col4 {\n",
       "            \n",
       "                background-color:  #49a849;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col5 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col6 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col7 {\n",
       "            \n",
       "                background-color:  #d7f7d7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow85_col8 {\n",
       "            \n",
       "                background-color:  #9ed89e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col2 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col3 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col4 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col5 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col6 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col7 {\n",
       "            \n",
       "                background-color:  #81c781;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow86_col8 {\n",
       "            \n",
       "                background-color:  #6cbc6c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col1 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col2 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col3 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col4 {\n",
       "            \n",
       "                background-color:  #44a544;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col5 {\n",
       "            \n",
       "                background-color:  #54ae54;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col6 {\n",
       "            \n",
       "                background-color:  #49a849;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col7 {\n",
       "            \n",
       "                background-color:  #a3daa3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow87_col8 {\n",
       "            \n",
       "                background-color:  #94d294;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col1 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col2 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col3 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col4 {\n",
       "            \n",
       "                background-color:  #339c33;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col5 {\n",
       "            \n",
       "                background-color:  #49a849;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col6 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col7 {\n",
       "            \n",
       "                background-color:  #71bf71;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow88_col8 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col0 {\n",
       "            \n",
       "                background-color:  #defbde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col1 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col3 {\n",
       "            \n",
       "                background-color:  #5fb55f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col4 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col5 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col6 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col7 {\n",
       "            \n",
       "                background-color:  #9bd69b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow89_col8 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col0 {\n",
       "            \n",
       "                background-color:  #dffcdf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col1 {\n",
       "            \n",
       "                background-color:  #61b661;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col3 {\n",
       "            \n",
       "                background-color:  #60b560;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col4 {\n",
       "            \n",
       "                background-color:  #349d34;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col5 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col6 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col7 {\n",
       "            \n",
       "                background-color:  #b0e1b0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow90_col8 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col0 {\n",
       "            \n",
       "                background-color:  #dffcdf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col1 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col3 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col4 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col6 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col7 {\n",
       "            \n",
       "                background-color:  #64b764;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow91_col8 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col0 {\n",
       "            \n",
       "                background-color:  #dffcdf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col3 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col5 {\n",
       "            \n",
       "                background-color:  #4dab4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col6 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col7 {\n",
       "            \n",
       "                background-color:  #85ca85;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow92_col8 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col0 {\n",
       "            \n",
       "                background-color:  #dffcdf;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col2 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col3 {\n",
       "            \n",
       "                background-color:  #55af55;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col4 {\n",
       "            \n",
       "                background-color:  #3ca13c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col5 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col6 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col7 {\n",
       "            \n",
       "                background-color:  #73c073;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow93_col8 {\n",
       "            \n",
       "                background-color:  #73c073;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col0 {\n",
       "            \n",
       "                background-color:  #e0fce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col1 {\n",
       "            \n",
       "                background-color:  #67b967;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col3 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col4 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col5 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col6 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col7 {\n",
       "            \n",
       "                background-color:  #a6dca6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow94_col8 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col0 {\n",
       "            \n",
       "                background-color:  #e0fce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col2 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col3 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col4 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col5 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col6 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col7 {\n",
       "            \n",
       "                background-color:  #74c074;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow95_col8 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col0 {\n",
       "            \n",
       "                background-color:  #e0fce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col1 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col3 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col4 {\n",
       "            \n",
       "                background-color:  #309a30;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col5 {\n",
       "            \n",
       "                background-color:  #48a848;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col6 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col7 {\n",
       "            \n",
       "                background-color:  #68ba68;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow96_col8 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col0 {\n",
       "            \n",
       "                background-color:  #e0fce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col1 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col2 {\n",
       "            \n",
       "                background-color:  #2a972a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col3 {\n",
       "            \n",
       "                background-color:  #56b056;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col4 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col5 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col6 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col7 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow97_col8 {\n",
       "            \n",
       "                background-color:  #43a543;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col0 {\n",
       "            \n",
       "                background-color:  #e0fce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col1 {\n",
       "            \n",
       "                background-color:  #5bb25b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col2 {\n",
       "            \n",
       "                background-color:  #2c982c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col3 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col4 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col5 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col6 {\n",
       "            \n",
       "                background-color:  #42a442;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col7 {\n",
       "            \n",
       "                background-color:  #8ecf8e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow98_col8 {\n",
       "            \n",
       "                background-color:  #72bf72;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col0 {\n",
       "            \n",
       "                background-color:  #e4fee4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col2 {\n",
       "            \n",
       "                background-color:  #2b982b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col3 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col4 {\n",
       "            \n",
       "                background-color:  #3aa03a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col5 {\n",
       "            \n",
       "                background-color:  #4ba94b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col6 {\n",
       "            \n",
       "                background-color:  #3ea23e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col7 {\n",
       "            \n",
       "                background-color:  #7ac47a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow99_col8 {\n",
       "            \n",
       "                background-color:  #61b661;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col0 {\n",
       "            \n",
       "                background-color:  #e4fee4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col1 {\n",
       "            \n",
       "                background-color:  #5ab25a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col2 {\n",
       "            \n",
       "                background-color:  #2e992e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col3 {\n",
       "            \n",
       "                background-color:  #5db35d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col4 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col5 {\n",
       "            \n",
       "                background-color:  #4eab4e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col6 {\n",
       "            \n",
       "                background-color:  #41a441;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col7 {\n",
       "            \n",
       "                background-color:  #9ed79e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow100_col8 {\n",
       "            \n",
       "                background-color:  #88cb88;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col0 {\n",
       "            \n",
       "                background-color:  #e4fee4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col1 {\n",
       "            \n",
       "                background-color:  #5eb45e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col2 {\n",
       "            \n",
       "                background-color:  #369e36;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col3 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col4 {\n",
       "            \n",
       "                background-color:  #399f39;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col5 {\n",
       "            \n",
       "                background-color:  #4daa4d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col6 {\n",
       "            \n",
       "                background-color:  #44a644;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col7 {\n",
       "            \n",
       "                background-color:  #8cce8c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow101_col8 {\n",
       "            \n",
       "                background-color:  #ade0ad;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col0 {\n",
       "            \n",
       "                background-color:  #e4fee4;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col1 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col2 {\n",
       "            \n",
       "                background-color:  #289628;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col3 {\n",
       "            \n",
       "                background-color:  #56af56;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col4 {\n",
       "            \n",
       "                background-color:  #329c32;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col5 {\n",
       "            \n",
       "                background-color:  #46a746;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col6 {\n",
       "            \n",
       "                background-color:  #389f38;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col7 {\n",
       "            \n",
       "                background-color:  #4caa4c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow102_col8 {\n",
       "            \n",
       "                background-color:  #0e880e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col0 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col1 {\n",
       "            \n",
       "                background-color:  #61b661;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col3 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col4 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col5 {\n",
       "            \n",
       "                background-color:  #53ae53;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col6 {\n",
       "            \n",
       "                background-color:  #3fa33f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col7 {\n",
       "            \n",
       "                background-color:  #d1f4d1;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow103_col8 {\n",
       "            \n",
       "                background-color:  #75c175;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col0 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col1 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col2 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col3 {\n",
       "            \n",
       "                background-color:  #57b057;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col4 {\n",
       "            \n",
       "                background-color:  #339c33;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col5 {\n",
       "            \n",
       "                background-color:  #4aa94a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col6 {\n",
       "            \n",
       "                background-color:  #40a340;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col7 {\n",
       "            \n",
       "                background-color:  #70be70;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow104_col8 {\n",
       "            \n",
       "                background-color:  #85ca85;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col0 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col1 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col2 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col3 {\n",
       "            \n",
       "                background-color:  #59b159;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col4 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col5 {\n",
       "            \n",
       "                background-color:  #4ba94b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col6 {\n",
       "            \n",
       "                background-color:  #3ba13b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col7 {\n",
       "            \n",
       "                background-color:  #7ac47a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow105_col8 {\n",
       "            \n",
       "                background-color:  #3da23d;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col0 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col1 {\n",
       "            \n",
       "                background-color:  #64b764;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col2 {\n",
       "            \n",
       "                background-color:  #319b31;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col3 {\n",
       "            \n",
       "                background-color:  #58b158;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col4 {\n",
       "            \n",
       "                background-color:  #359d35;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col5 {\n",
       "            \n",
       "                background-color:  #52ad52;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col6 {\n",
       "            \n",
       "                background-color:  #3fa33f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col7 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow106_col8 {\n",
       "            \n",
       "                background-color:  #82c882;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col0 {\n",
       "            \n",
       "                background-color:  #e5ffe5;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col1 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col2 {\n",
       "            \n",
       "                background-color:  #2f9a2f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col3 {\n",
       "            \n",
       "                background-color:  #5cb35c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col4 {\n",
       "            \n",
       "                background-color:  #379e37;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col5 {\n",
       "            \n",
       "                background-color:  #4fac4f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col6 {\n",
       "            \n",
       "                background-color:  #3fa33f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col7 {\n",
       "            \n",
       "                background-color:  #bde9bd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow107_col8 {\n",
       "            \n",
       "                background-color:  #87cb87;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"col_heading level0 col0\">aud\n",
       "                \n",
       "                <th class=\"col_heading level0 col1\">18-24fem\n",
       "                \n",
       "                <th class=\"col_heading level0 col2\">18-24male\n",
       "                \n",
       "                <th class=\"col_heading level0 col3\">25-34fem\n",
       "                \n",
       "                <th class=\"col_heading level0 col4\">25-34male\n",
       "                \n",
       "                <th class=\"col_heading level0 col5\">females\n",
       "                \n",
       "                <th class=\"col_heading level0 col6\">males\n",
       "                \n",
       "                <th class=\"col_heading level0 col7\">%fem\n",
       "                \n",
       "                <th class=\"col_heading level0 col8\">%male\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th class=\"col_heading level2 col0\">Station\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level0 row0\">\n",
       "                    FOXNC \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col0\" class=\"data row0 col0\">\n",
       "                    1110.23\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col1\" class=\"data row0 col1\">\n",
       "                    2.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col2\" class=\"data row0 col2\">\n",
       "                    5.01\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col3\" class=\"data row0 col3\">\n",
       "                    5.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col4\" class=\"data row0 col4\">\n",
       "                    3.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col5\" class=\"data row0 col5\">\n",
       "                    7.68\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col6\" class=\"data row0 col6\">\n",
       "                    8.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col7\" class=\"data row0 col7\">\n",
       "                    0.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow0_col8\" class=\"data row0 col8\">\n",
       "                    0.81\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row1\">\n",
       "                    USA   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col0\" class=\"data row1 col0\">\n",
       "                    908.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col1\" class=\"data row1 col1\">\n",
       "                    -12.59\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col2\" class=\"data row1 col2\">\n",
       "                    -2.72\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col3\" class=\"data row1 col3\">\n",
       "                    -22.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col4\" class=\"data row1 col4\">\n",
       "                    -9.13\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col5\" class=\"data row1 col5\">\n",
       "                    -35.04\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col6\" class=\"data row1 col6\">\n",
       "                    -11.85\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col7\" class=\"data row1 col7\">\n",
       "                    -3.86\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow1_col8\" class=\"data row1 col8\">\n",
       "                    -1.3\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row2\">\n",
       "                    TNT   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col0\" class=\"data row2 col0\">\n",
       "                    848.17\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col1\" class=\"data row2 col1\">\n",
       "                    -1.72\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col2\" class=\"data row2 col2\">\n",
       "                    0.18\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col3\" class=\"data row2 col3\">\n",
       "                    2.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col4\" class=\"data row2 col4\">\n",
       "                    -7.55\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col5\" class=\"data row2 col5\">\n",
       "                    1.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col6\" class=\"data row2 col6\">\n",
       "                    -7.38\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col7\" class=\"data row2 col7\">\n",
       "                    0.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow2_col8\" class=\"data row2 col8\">\n",
       "                    -0.87\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row3\">\n",
       "                    ESPN  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col0\" class=\"data row3 col0\">\n",
       "                    847.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col1\" class=\"data row3 col1\">\n",
       "                    -3.47\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col2\" class=\"data row3 col2\">\n",
       "                    -11.34\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col3\" class=\"data row3 col3\">\n",
       "                    -4.92\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col4\" class=\"data row3 col4\">\n",
       "                    -27.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col5\" class=\"data row3 col5\">\n",
       "                    -8.39\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col6\" class=\"data row3 col6\">\n",
       "                    -38.44\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col7\" class=\"data row3 col7\">\n",
       "                    -0.99\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow3_col8\" class=\"data row3 col8\">\n",
       "                    -4.53\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row4\">\n",
       "                    HGTV  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col0\" class=\"data row4 col0\">\n",
       "                    810.36\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col1\" class=\"data row4 col1\">\n",
       "                    3.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col2\" class=\"data row4 col2\">\n",
       "                    1.51\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col3\" class=\"data row4 col3\">\n",
       "                    3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col4\" class=\"data row4 col4\">\n",
       "                    2.71\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col5\" class=\"data row4 col5\">\n",
       "                    6.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col6\" class=\"data row4 col6\">\n",
       "                    4.22\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col7\" class=\"data row4 col7\">\n",
       "                    0.83\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow4_col8\" class=\"data row4 col8\">\n",
       "                    0.52\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row5\">\n",
       "                    ADSM  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col0\" class=\"data row5 col0\">\n",
       "                    788.77\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col1\" class=\"data row5 col1\">\n",
       "                    -21.96\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col2\" class=\"data row5 col2\">\n",
       "                    -15.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col3\" class=\"data row5 col3\">\n",
       "                    -4.94\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col4\" class=\"data row5 col4\">\n",
       "                    0.35\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col5\" class=\"data row5 col5\">\n",
       "                    -26.9\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col6\" class=\"data row5 col6\">\n",
       "                    -15.34\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col7\" class=\"data row5 col7\">\n",
       "                    -3.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow5_col8\" class=\"data row5 col8\">\n",
       "                    -1.94\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row6\">\n",
       "                    HIST  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col0\" class=\"data row6 col0\">\n",
       "                    664.58\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col1\" class=\"data row6 col1\">\n",
       "                    -2.34\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col2\" class=\"data row6 col2\">\n",
       "                    -6.23\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col3\" class=\"data row6 col3\">\n",
       "                    -4.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col4\" class=\"data row6 col4\">\n",
       "                    -12.47\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col5\" class=\"data row6 col5\">\n",
       "                    -7.29\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col6\" class=\"data row6 col6\">\n",
       "                    -18.7\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col7\" class=\"data row6 col7\">\n",
       "                    -1.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow6_col8\" class=\"data row6 col8\">\n",
       "                    -2.81\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row7\">\n",
       "                    ID    \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col0\" class=\"data row7 col0\">\n",
       "                    654.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col1\" class=\"data row7 col1\">\n",
       "                    -2.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col2\" class=\"data row7 col2\">\n",
       "                    1.5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col3\" class=\"data row7 col3\">\n",
       "                    -10.7\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col4\" class=\"data row7 col4\">\n",
       "                    -4.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col5\" class=\"data row7 col5\">\n",
       "                    -12.76\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col6\" class=\"data row7 col6\">\n",
       "                    -3.39\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col7\" class=\"data row7 col7\">\n",
       "                    -1.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow7_col8\" class=\"data row7 col8\">\n",
       "                    -0.52\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row8\">\n",
       "                    TBSC  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col0\" class=\"data row8 col0\">\n",
       "                    637.31\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col1\" class=\"data row8 col1\">\n",
       "                    -10.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col2\" class=\"data row8 col2\">\n",
       "                    -3.05\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col3\" class=\"data row8 col3\">\n",
       "                    -3.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col4\" class=\"data row8 col4\">\n",
       "                    -7.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col5\" class=\"data row8 col5\">\n",
       "                    -13.27\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col6\" class=\"data row8 col6\">\n",
       "                    -11.03\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col7\" class=\"data row8 col7\">\n",
       "                    -2.08\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow8_col8\" class=\"data row8 col8\">\n",
       "                    -1.73\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row9\">\n",
       "                    DISC  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col0\" class=\"data row9 col0\">\n",
       "                    620.86\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col1\" class=\"data row9 col1\">\n",
       "                    0.37\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col2\" class=\"data row9 col2\">\n",
       "                    0.52\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col3\" class=\"data row9 col3\">\n",
       "                    -1.23\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col4\" class=\"data row9 col4\">\n",
       "                    -2.09\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col5\" class=\"data row9 col5\">\n",
       "                    -0.86\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col6\" class=\"data row9 col6\">\n",
       "                    -1.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col7\" class=\"data row9 col7\">\n",
       "                    -0.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow9_col8\" class=\"data row9 col8\">\n",
       "                    -0.25\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row10\">\n",
       "                    FOOD  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col0\" class=\"data row10 col0\">\n",
       "                    553.12\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col1\" class=\"data row10 col1\">\n",
       "                    -4.76\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col2\" class=\"data row10 col2\">\n",
       "                    0.31\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col3\" class=\"data row10 col3\">\n",
       "                    1.94\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col4\" class=\"data row10 col4\">\n",
       "                    0.94\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col5\" class=\"data row10 col5\">\n",
       "                    -2.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col6\" class=\"data row10 col6\">\n",
       "                    1.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col7\" class=\"data row10 col7\">\n",
       "                    -0.51\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow10_col8\" class=\"data row10 col8\">\n",
       "                    0.23\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row11\">\n",
       "                    AMC   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col0\" class=\"data row11 col0\">\n",
       "                    551.13\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col1\" class=\"data row11 col1\">\n",
       "                    -7.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col2\" class=\"data row11 col2\">\n",
       "                    -9.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col3\" class=\"data row11 col3\">\n",
       "                    -6.03\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col4\" class=\"data row11 col4\">\n",
       "                    -11.51\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col5\" class=\"data row11 col5\">\n",
       "                    -13.18\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col6\" class=\"data row11 col6\">\n",
       "                    -20.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col7\" class=\"data row11 col7\">\n",
       "                    -2.39\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow11_col8\" class=\"data row11 col8\">\n",
       "                    -3.73\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row12\">\n",
       "                    HALL  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col0\" class=\"data row12 col0\">\n",
       "                    541.93\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col1\" class=\"data row12 col1\">\n",
       "                    4.27\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col2\" class=\"data row12 col2\">\n",
       "                    1.76\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col3\" class=\"data row12 col3\">\n",
       "                    5.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col4\" class=\"data row12 col4\">\n",
       "                    1.78\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col5\" class=\"data row12 col5\">\n",
       "                    9.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col6\" class=\"data row12 col6\">\n",
       "                    3.53\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col7\" class=\"data row12 col7\">\n",
       "                    1.79\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow12_col8\" class=\"data row12 col8\">\n",
       "                    0.65\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row13\">\n",
       "                    CNN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col0\" class=\"data row13 col0\">\n",
       "                    514.12\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col1\" class=\"data row13 col1\">\n",
       "                    2.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col2\" class=\"data row13 col2\">\n",
       "                    6.05\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col3\" class=\"data row13 col3\">\n",
       "                    4.43\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col4\" class=\"data row13 col4\">\n",
       "                    8.13\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col5\" class=\"data row13 col5\">\n",
       "                    7.4\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col6\" class=\"data row13 col6\">\n",
       "                    14.18\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col7\" class=\"data row13 col7\">\n",
       "                    1.44\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow13_col8\" class=\"data row13 col8\">\n",
       "                    2.76\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row14\">\n",
       "                    FX    \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col0\" class=\"data row14 col0\">\n",
       "                    510.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col1\" class=\"data row14 col1\">\n",
       "                    -7.58\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col2\" class=\"data row14 col2\">\n",
       "                    -7.94\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col3\" class=\"data row14 col3\">\n",
       "                    -0.29\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col4\" class=\"data row14 col4\">\n",
       "                    -8.63\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col5\" class=\"data row14 col5\">\n",
       "                    -7.86\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col6\" class=\"data row14 col6\">\n",
       "                    -16.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col7\" class=\"data row14 col7\">\n",
       "                    -1.54\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow14_col8\" class=\"data row14 col8\">\n",
       "                    -3.25\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row15\">\n",
       "                    AEN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col0\" class=\"data row15 col0\">\n",
       "                    503.65\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col1\" class=\"data row15 col1\">\n",
       "                    -2.5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col2\" class=\"data row15 col2\">\n",
       "                    -3.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col3\" class=\"data row15 col3\">\n",
       "                    -2.62\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col4\" class=\"data row15 col4\">\n",
       "                    -2.91\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col5\" class=\"data row15 col5\">\n",
       "                    -5.12\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col6\" class=\"data row15 col6\">\n",
       "                    -6.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col7\" class=\"data row15 col7\">\n",
       "                    -1.02\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow15_col8\" class=\"data row15 col8\">\n",
       "                    -1.2\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row16\">\n",
       "                    NAN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col0\" class=\"data row16 col0\">\n",
       "                    494.09\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col1\" class=\"data row16 col1\">\n",
       "                    13.82\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col2\" class=\"data row16 col2\">\n",
       "                    -8.34\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col3\" class=\"data row16 col3\">\n",
       "                    -1.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col4\" class=\"data row16 col4\">\n",
       "                    0.31\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col5\" class=\"data row16 col5\">\n",
       "                    12.72\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col6\" class=\"data row16 col6\">\n",
       "                    -8.03\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col7\" class=\"data row16 col7\">\n",
       "                    2.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow16_col8\" class=\"data row16 col8\">\n",
       "                    -1.63\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row17\">\n",
       "                    NICK  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col0\" class=\"data row17 col0\">\n",
       "                    472.65\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col1\" class=\"data row17 col1\">\n",
       "                    3.15\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col2\" class=\"data row17 col2\">\n",
       "                    -3.53\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col3\" class=\"data row17 col3\">\n",
       "                    13.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col4\" class=\"data row17 col4\">\n",
       "                    -0.74\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col5\" class=\"data row17 col5\">\n",
       "                    17.04\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col6\" class=\"data row17 col6\">\n",
       "                    -4.27\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col7\" class=\"data row17 col7\">\n",
       "                    3.6\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow17_col8\" class=\"data row17 col8\">\n",
       "                    -0.9\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row18\">\n",
       "                    LIF   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col0\" class=\"data row18 col0\">\n",
       "                    454.01\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col1\" class=\"data row18 col1\">\n",
       "                    -5.07\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col2\" class=\"data row18 col2\">\n",
       "                    1.65\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col3\" class=\"data row18 col3\">\n",
       "                    -5.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col4\" class=\"data row18 col4\">\n",
       "                    1.43\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col5\" class=\"data row18 col5\">\n",
       "                    -10.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col6\" class=\"data row18 col6\">\n",
       "                    3.08\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col7\" class=\"data row18 col7\">\n",
       "                    -2.4\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow18_col8\" class=\"data row18 col8\">\n",
       "                    0.68\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row19\">\n",
       "                    TVL   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col0\" class=\"data row19 col0\">\n",
       "                    422.54\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col1\" class=\"data row19 col1\">\n",
       "                    -6.33\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col2\" class=\"data row19 col2\">\n",
       "                    -1.38\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col3\" class=\"data row19 col3\">\n",
       "                    -8.89\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col4\" class=\"data row19 col4\">\n",
       "                    -1.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col5\" class=\"data row19 col5\">\n",
       "                    -15.22\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col6\" class=\"data row19 col6\">\n",
       "                    -2.58\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col7\" class=\"data row19 col7\">\n",
       "                    -3.6\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow19_col8\" class=\"data row19 col8\">\n",
       "                    -0.61\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row20\">\n",
       "                    FAM   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col0\" class=\"data row20 col0\">\n",
       "                    418.99\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col1\" class=\"data row20 col1\">\n",
       "                    -19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col2\" class=\"data row20 col2\">\n",
       "                    -1.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col3\" class=\"data row20 col3\">\n",
       "                    -6.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col4\" class=\"data row20 col4\">\n",
       "                    1.22\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col5\" class=\"data row20 col5\">\n",
       "                    -25.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col6\" class=\"data row20 col6\">\n",
       "                    0.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col7\" class=\"data row20 col7\">\n",
       "                    -6.08\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow20_col8\" class=\"data row20 col8\">\n",
       "                    0.01\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row21\">\n",
       "                    TLC   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col0\" class=\"data row21 col0\">\n",
       "                    416.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col1\" class=\"data row21 col1\">\n",
       "                    -14.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col2\" class=\"data row21 col2\">\n",
       "                    -1.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col3\" class=\"data row21 col3\">\n",
       "                    -15.75\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col4\" class=\"data row21 col4\">\n",
       "                    -0.12\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col5\" class=\"data row21 col5\">\n",
       "                    -29.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col6\" class=\"data row21 col6\">\n",
       "                    -1.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col7\" class=\"data row21 col7\">\n",
       "                    -7.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow21_col8\" class=\"data row21 col8\">\n",
       "                    -0.39\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row22\">\n",
       "                    SPIKE \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col0\" class=\"data row22 col0\">\n",
       "                    411.9\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col1\" class=\"data row22 col1\">\n",
       "                    -1.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col2\" class=\"data row22 col2\">\n",
       "                    -2.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col3\" class=\"data row22 col3\">\n",
       "                    4.24\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col4\" class=\"data row22 col4\">\n",
       "                    -5.85\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col5\" class=\"data row22 col5\">\n",
       "                    3.05\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col6\" class=\"data row22 col6\">\n",
       "                    -8.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col7\" class=\"data row22 col7\">\n",
       "                    0.74\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow22_col8\" class=\"data row22 col8\">\n",
       "                    -1.97\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row23\">\n",
       "                    DSNY  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col0\" class=\"data row23 col0\">\n",
       "                    389.21\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col1\" class=\"data row23 col1\">\n",
       "                    -3.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col2\" class=\"data row23 col2\">\n",
       "                    -1.62\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col3\" class=\"data row23 col3\">\n",
       "                    4.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col4\" class=\"data row23 col4\">\n",
       "                    0.73\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col5\" class=\"data row23 col5\">\n",
       "                    1.47\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col6\" class=\"data row23 col6\">\n",
       "                    -0.89\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col7\" class=\"data row23 col7\">\n",
       "                    0.38\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow23_col8\" class=\"data row23 col8\">\n",
       "                    -0.23\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row24\">\n",
       "                    TOON  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col0\" class=\"data row24 col0\">\n",
       "                    389.18\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col1\" class=\"data row24 col1\">\n",
       "                    -5.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col2\" class=\"data row24 col2\">\n",
       "                    -18.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col3\" class=\"data row24 col3\">\n",
       "                    3.24\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col4\" class=\"data row24 col4\">\n",
       "                    -3.7\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col5\" class=\"data row24 col5\">\n",
       "                    -2.43\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col6\" class=\"data row24 col6\">\n",
       "                    -22.31\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col7\" class=\"data row24 col7\">\n",
       "                    -0.62\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow24_col8\" class=\"data row24 col8\">\n",
       "                    -5.73\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row25\">\n",
       "                    MSNBC \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col0\" class=\"data row25 col0\">\n",
       "                    369.43\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col1\" class=\"data row25 col1\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col2\" class=\"data row25 col2\">\n",
       "                    1.77\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col3\" class=\"data row25 col3\">\n",
       "                    0.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col4\" class=\"data row25 col4\">\n",
       "                    3.7\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col5\" class=\"data row25 col5\">\n",
       "                    0.75\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col6\" class=\"data row25 col6\">\n",
       "                    5.48\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col7\" class=\"data row25 col7\">\n",
       "                    0.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow25_col8\" class=\"data row25 col8\">\n",
       "                    1.48\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row26\">\n",
       "                    SYFY  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col0\" class=\"data row26 col0\">\n",
       "                    368.37\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col1\" class=\"data row26 col1\">\n",
       "                    0.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col2\" class=\"data row26 col2\">\n",
       "                    -2.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col3\" class=\"data row26 col3\">\n",
       "                    -1.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col4\" class=\"data row26 col4\">\n",
       "                    -4.59\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col5\" class=\"data row26 col5\">\n",
       "                    -0.99\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col6\" class=\"data row26 col6\">\n",
       "                    -6.78\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col7\" class=\"data row26 col7\">\n",
       "                    -0.27\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow26_col8\" class=\"data row26 col8\">\n",
       "                    -1.84\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row27\">\n",
       "                    CMDY  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col0\" class=\"data row27 col0\">\n",
       "                    315.58\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col1\" class=\"data row27 col1\">\n",
       "                    -5.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col2\" class=\"data row27 col2\">\n",
       "                    -25.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col3\" class=\"data row27 col3\">\n",
       "                    -3.62\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col4\" class=\"data row27 col4\">\n",
       "                    -14.86\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col5\" class=\"data row27 col5\">\n",
       "                    -9.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col6\" class=\"data row27 col6\">\n",
       "                    -40.05\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col7\" class=\"data row27 col7\">\n",
       "                    -3.03\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow27_col8\" class=\"data row27 col8\">\n",
       "                    -12.69\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row28\">\n",
       "                    APL   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col0\" class=\"data row28 col0\">\n",
       "                    306.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col1\" class=\"data row28 col1\">\n",
       "                    -1.55\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col2\" class=\"data row28 col2\">\n",
       "                    -2.84\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col3\" class=\"data row28 col3\">\n",
       "                    -0.93\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col4\" class=\"data row28 col4\">\n",
       "                    -2.83\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col5\" class=\"data row28 col5\">\n",
       "                    -2.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col6\" class=\"data row28 col6\">\n",
       "                    -5.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col7\" class=\"data row28 col7\">\n",
       "                    -0.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow28_col8\" class=\"data row28 col8\">\n",
       "                    -1.85\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row29\">\n",
       "                    GSN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col0\" class=\"data row29 col0\">\n",
       "                    306.77\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col1\" class=\"data row29 col1\">\n",
       "                    -0.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col2\" class=\"data row29 col2\">\n",
       "                    -0.02\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col3\" class=\"data row29 col3\">\n",
       "                    -1.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col4\" class=\"data row29 col4\">\n",
       "                    -1.32\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col5\" class=\"data row29 col5\">\n",
       "                    -2.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col6\" class=\"data row29 col6\">\n",
       "                    -1.34\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col7\" class=\"data row29 col7\">\n",
       "                    -0.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow29_col8\" class=\"data row29 col8\">\n",
       "                    -0.44\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row30\">\n",
       "                    HMC   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col0\" class=\"data row30 col0\">\n",
       "                    304.09\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col1\" class=\"data row30 col1\">\n",
       "                    1.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col2\" class=\"data row30 col2\">\n",
       "                    0.7\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col3\" class=\"data row30 col3\">\n",
       "                    5.15\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col4\" class=\"data row30 col4\">\n",
       "                    1.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col5\" class=\"data row30 col5\">\n",
       "                    6.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col6\" class=\"data row30 col6\">\n",
       "                    1.86\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col7\" class=\"data row30 col7\">\n",
       "                    2.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow30_col8\" class=\"data row30 col8\">\n",
       "                    0.61\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row31\">\n",
       "                    LMN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col0\" class=\"data row31 col0\">\n",
       "                    297.91\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col1\" class=\"data row31 col1\">\n",
       "                    -0.83\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col2\" class=\"data row31 col2\">\n",
       "                    2.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col3\" class=\"data row31 col3\">\n",
       "                    -3.96\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col4\" class=\"data row31 col4\">\n",
       "                    0.77\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col5\" class=\"data row31 col5\">\n",
       "                    -4.79\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col6\" class=\"data row31 col6\">\n",
       "                    3.02\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col7\" class=\"data row31 col7\">\n",
       "                    -1.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow31_col8\" class=\"data row31 col8\">\n",
       "                    1.01\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row32\">\n",
       "                    BRVO  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col0\" class=\"data row32 col0\">\n",
       "                    291.28\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col1\" class=\"data row32 col1\">\n",
       "                    -12.04\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col2\" class=\"data row32 col2\">\n",
       "                    0.42\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col3\" class=\"data row32 col3\">\n",
       "                    -6.33\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col4\" class=\"data row32 col4\">\n",
       "                    1.39\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col5\" class=\"data row32 col5\">\n",
       "                    -18.36\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col6\" class=\"data row32 col6\">\n",
       "                    1.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col7\" class=\"data row32 col7\">\n",
       "                    -6.3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow32_col8\" class=\"data row32 col8\">\n",
       "                    0.62\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row33\">\n",
       "                    HLN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col0\" class=\"data row33 col0\">\n",
       "                    282.4\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col1\" class=\"data row33 col1\">\n",
       "                    -1.07\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col2\" class=\"data row33 col2\">\n",
       "                    0.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col3\" class=\"data row33 col3\">\n",
       "                    -0.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col4\" class=\"data row33 col4\">\n",
       "                    0.03\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col5\" class=\"data row33 col5\">\n",
       "                    -1.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col6\" class=\"data row33 col6\">\n",
       "                    0.84\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col7\" class=\"data row33 col7\">\n",
       "                    -0.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow33_col8\" class=\"data row33 col8\">\n",
       "                    0.3\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row34\">\n",
       "                    WE    \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col0\" class=\"data row34 col0\">\n",
       "                    268.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col1\" class=\"data row34 col1\">\n",
       "                    0.6\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col2\" class=\"data row34 col2\">\n",
       "                    1.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col3\" class=\"data row34 col3\">\n",
       "                    -1.68\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col4\" class=\"data row34 col4\">\n",
       "                    2.77\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col5\" class=\"data row34 col5\">\n",
       "                    -1.08\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col6\" class=\"data row34 col6\">\n",
       "                    4.73\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col7\" class=\"data row34 col7\">\n",
       "                    -0.4\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow34_col8\" class=\"data row34 col8\">\n",
       "                    1.77\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row35\">\n",
       "                    WGNA  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col0\" class=\"data row35 col0\">\n",
       "                    258.52\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col1\" class=\"data row35 col1\">\n",
       "                    -1.01\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col2\" class=\"data row35 col2\">\n",
       "                    0.12\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col3\" class=\"data row35 col3\">\n",
       "                    0.46\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col4\" class=\"data row35 col4\">\n",
       "                    0.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col5\" class=\"data row35 col5\">\n",
       "                    -0.56\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col6\" class=\"data row35 col6\">\n",
       "                    0.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col7\" class=\"data row35 col7\">\n",
       "                    -0.21\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow35_col8\" class=\"data row35 col8\">\n",
       "                    0.24\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row36\">\n",
       "                    NGC   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col0\" class=\"data row36 col0\">\n",
       "                    256.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col1\" class=\"data row36 col1\">\n",
       "                    -1.63\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col2\" class=\"data row36 col2\">\n",
       "                    -4.17\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col3\" class=\"data row36 col3\">\n",
       "                    -3.53\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col4\" class=\"data row36 col4\">\n",
       "                    -4.83\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col5\" class=\"data row36 col5\">\n",
       "                    -5.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col6\" class=\"data row36 col6\">\n",
       "                    -9\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col7\" class=\"data row36 col7\">\n",
       "                    -2.01\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow36_col8\" class=\"data row36 col8\">\n",
       "                    -3.51\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row37\">\n",
       "                    BET   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col0\" class=\"data row37 col0\">\n",
       "                    256.18\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col1\" class=\"data row37 col1\">\n",
       "                    -0.29\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col2\" class=\"data row37 col2\">\n",
       "                    4.38\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col3\" class=\"data row37 col3\">\n",
       "                    2.04\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col4\" class=\"data row37 col4\">\n",
       "                    1.73\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col5\" class=\"data row37 col5\">\n",
       "                    1.75\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col6\" class=\"data row37 col6\">\n",
       "                    6.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col7\" class=\"data row37 col7\">\n",
       "                    0.68\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow37_col8\" class=\"data row37 col8\">\n",
       "                    2.38\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row38\">\n",
       "                    ENT   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col0\" class=\"data row38 col0\">\n",
       "                    254.07\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col1\" class=\"data row38 col1\">\n",
       "                    -5.89\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col2\" class=\"data row38 col2\">\n",
       "                    -0.42\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col3\" class=\"data row38 col3\">\n",
       "                    2.15\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col4\" class=\"data row38 col4\">\n",
       "                    -1.48\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col5\" class=\"data row38 col5\">\n",
       "                    -3.75\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col6\" class=\"data row38 col6\">\n",
       "                    -1.91\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col7\" class=\"data row38 col7\">\n",
       "                    -1.47\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow38_col8\" class=\"data row38 col8\">\n",
       "                    -0.75\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row39\">\n",
       "                    ESPN2 \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col0\" class=\"data row39 col0\">\n",
       "                    251.15\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col1\" class=\"data row39 col1\">\n",
       "                    -0.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col2\" class=\"data row39 col2\">\n",
       "                    -3.55\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col3\" class=\"data row39 col3\">\n",
       "                    -0.38\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col4\" class=\"data row39 col4\">\n",
       "                    -4.37\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col5\" class=\"data row39 col5\">\n",
       "                    -0.44\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col6\" class=\"data row39 col6\">\n",
       "                    -7.92\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col7\" class=\"data row39 col7\">\n",
       "                    -0.18\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow39_col8\" class=\"data row39 col8\">\n",
       "                    -3.15\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row40\">\n",
       "                    MTV   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col0\" class=\"data row40 col0\">\n",
       "                    249.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col1\" class=\"data row40 col1\">\n",
       "                    -12.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col2\" class=\"data row40 col2\">\n",
       "                    -8.76\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col3\" class=\"data row40 col3\">\n",
       "                    3.58\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col4\" class=\"data row40 col4\">\n",
       "                    -4.72\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col5\" class=\"data row40 col5\">\n",
       "                    -8.99\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col6\" class=\"data row40 col6\">\n",
       "                    -13.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col7\" class=\"data row40 col7\">\n",
       "                    -3.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow40_col8\" class=\"data row40 col8\">\n",
       "                    -5.41\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row41\">\n",
       "                    TRAV  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col0\" class=\"data row41 col0\">\n",
       "                    243.01\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col1\" class=\"data row41 col1\">\n",
       "                    -0.98\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col2\" class=\"data row41 col2\">\n",
       "                    -1.23\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col3\" class=\"data row41 col3\">\n",
       "                    -0.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col4\" class=\"data row41 col4\">\n",
       "                    -1.66\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col5\" class=\"data row41 col5\">\n",
       "                    -1.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col6\" class=\"data row41 col6\">\n",
       "                    -2.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col7\" class=\"data row41 col7\">\n",
       "                    -0.47\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow41_col8\" class=\"data row41 col8\">\n",
       "                    -1.19\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row42\">\n",
       "                    VH1   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col0\" class=\"data row42 col0\">\n",
       "                    222.17\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col1\" class=\"data row42 col1\">\n",
       "                    1.17\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col2\" class=\"data row42 col2\">\n",
       "                    4.84\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col3\" class=\"data row42 col3\">\n",
       "                    14.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col4\" class=\"data row42 col4\">\n",
       "                    3.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col5\" class=\"data row42 col5\">\n",
       "                    15.42\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col6\" class=\"data row42 col6\">\n",
       "                    7.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col7\" class=\"data row42 col7\">\n",
       "                    6.94\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow42_col8\" class=\"data row42 col8\">\n",
       "                    3.58\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row43\">\n",
       "                    TRU   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col0\" class=\"data row43 col0\">\n",
       "                    217.5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col1\" class=\"data row43 col1\">\n",
       "                    1.53\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col2\" class=\"data row43 col2\">\n",
       "                    2.28\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col3\" class=\"data row43 col3\">\n",
       "                    1.3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col4\" class=\"data row43 col4\">\n",
       "                    -0.23\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col5\" class=\"data row43 col5\">\n",
       "                    2.83\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col6\" class=\"data row43 col6\">\n",
       "                    2.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col7\" class=\"data row43 col7\">\n",
       "                    1.3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow43_col8\" class=\"data row43 col8\">\n",
       "                    0.94\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row44\">\n",
       "                    H2    \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col0\" class=\"data row44 col0\">\n",
       "                    215.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col1\" class=\"data row44 col1\">\n",
       "                    -1.05\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col2\" class=\"data row44 col2\">\n",
       "                    -2.87\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col3\" class=\"data row44 col3\">\n",
       "                    -2.36\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col4\" class=\"data row44 col4\">\n",
       "                    -2.91\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col5\" class=\"data row44 col5\">\n",
       "                    -3.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col6\" class=\"data row44 col6\">\n",
       "                    -5.79\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col7\" class=\"data row44 col7\">\n",
       "                    -1.58\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow44_col8\" class=\"data row44 col8\">\n",
       "                    -2.68\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row45\">\n",
       "                    INSP  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col0\" class=\"data row45 col0\">\n",
       "                    215.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col1\" class=\"data row45 col1\">\n",
       "                    5.44\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col2\" class=\"data row45 col2\">\n",
       "                    1.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col3\" class=\"data row45 col3\">\n",
       "                    0.42\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col4\" class=\"data row45 col4\">\n",
       "                    1.37\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col5\" class=\"data row45 col5\">\n",
       "                    5.85\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col6\" class=\"data row45 col6\">\n",
       "                    2.62\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col7\" class=\"data row45 col7\">\n",
       "                    2.72\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow45_col8\" class=\"data row45 col8\">\n",
       "                    1.22\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row46\">\n",
       "                    OWN   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col0\" class=\"data row46 col0\">\n",
       "                    212.96\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col1\" class=\"data row46 col1\">\n",
       "                    0.03\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col2\" class=\"data row46 col2\">\n",
       "                    -0.27\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col3\" class=\"data row46 col3\">\n",
       "                    -2.17\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col4\" class=\"data row46 col4\">\n",
       "                    0.31\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col5\" class=\"data row46 col5\">\n",
       "                    -2.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col6\" class=\"data row46 col6\">\n",
       "                    0.04\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col7\" class=\"data row46 col7\">\n",
       "                    -1.01\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow46_col8\" class=\"data row46 col8\">\n",
       "                    0.02\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row47\">\n",
       "                    DISJR \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col0\" class=\"data row47 col0\">\n",
       "                    205.63\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col1\" class=\"data row47 col1\">\n",
       "                    -7.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col2\" class=\"data row47 col2\">\n",
       "                    0.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col3\" class=\"data row47 col3\">\n",
       "                    1.5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col4\" class=\"data row47 col4\">\n",
       "                    4.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col5\" class=\"data row47 col5\">\n",
       "                    -5.75\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col6\" class=\"data row47 col6\">\n",
       "                    5.39\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col7\" class=\"data row47 col7\">\n",
       "                    -2.8\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow47_col8\" class=\"data row47 col8\">\n",
       "                    2.62\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row48\">\n",
       "                    TWC   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col0\" class=\"data row48 col0\">\n",
       "                    187.88\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col1\" class=\"data row48 col1\">\n",
       "                    0.51\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col2\" class=\"data row48 col2\">\n",
       "                    -0.28\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col3\" class=\"data row48 col3\">\n",
       "                    -0.09\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col4\" class=\"data row48 col4\">\n",
       "                    -1.23\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col5\" class=\"data row48 col5\">\n",
       "                    0.42\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col6\" class=\"data row48 col6\">\n",
       "                    -1.5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col7\" class=\"data row48 col7\">\n",
       "                    0.22\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow48_col8\" class=\"data row48 col8\">\n",
       "                    -0.8\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row49\">\n",
       "                    SCI   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col0\" class=\"data row49 col0\">\n",
       "                    181.78\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col1\" class=\"data row49 col1\">\n",
       "                    -0.95\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col2\" class=\"data row49 col2\">\n",
       "                    -2.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col3\" class=\"data row49 col3\">\n",
       "                    -0.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col4\" class=\"data row49 col4\">\n",
       "                    -0.3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col5\" class=\"data row49 col5\">\n",
       "                    -1.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col6\" class=\"data row49 col6\">\n",
       "                    -2.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col7\" class=\"data row49 col7\">\n",
       "                    -0.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow49_col8\" class=\"data row49 col8\">\n",
       "                    -1.37\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row50\">\n",
       "                    FXX   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col0\" class=\"data row50 col0\">\n",
       "                    166.56\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col1\" class=\"data row50 col1\">\n",
       "                    -2.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col2\" class=\"data row50 col2\">\n",
       "                    -1.69\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col3\" class=\"data row50 col3\">\n",
       "                    0.15\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col4\" class=\"data row50 col4\">\n",
       "                    -1.64\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col5\" class=\"data row50 col5\">\n",
       "                    -2.52\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col6\" class=\"data row50 col6\">\n",
       "                    -3.33\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col7\" class=\"data row50 col7\">\n",
       "                    -1.51\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow50_col8\" class=\"data row50 col8\">\n",
       "                    -2\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row51\">\n",
       "                    CNBC  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col0\" class=\"data row51 col0\">\n",
       "                    160.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col1\" class=\"data row51 col1\">\n",
       "                    0.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col2\" class=\"data row51 col2\">\n",
       "                    0.43\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col3\" class=\"data row51 col3\">\n",
       "                    0.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col4\" class=\"data row51 col4\">\n",
       "                    -1.05\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col5\" class=\"data row51 col5\">\n",
       "                    0.71\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col6\" class=\"data row51 col6\">\n",
       "                    -0.61\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col7\" class=\"data row51 col7\">\n",
       "                    0.45\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow51_col8\" class=\"data row51 col8\">\n",
       "                    -0.38\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row52\">\n",
       "                    NFLN  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col0\" class=\"data row52 col0\">\n",
       "                    149.87\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col1\" class=\"data row52 col1\">\n",
       "                    0.59\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col2\" class=\"data row52 col2\">\n",
       "                    -2.6\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col3\" class=\"data row52 col3\">\n",
       "                    1.79\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col4\" class=\"data row52 col4\">\n",
       "                    -1.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col5\" class=\"data row52 col5\">\n",
       "                    2.39\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col6\" class=\"data row52 col6\">\n",
       "                    -4.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col7\" class=\"data row52 col7\">\n",
       "                    1.59\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow52_col8\" class=\"data row52 col8\">\n",
       "                    -2.84\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row53\">\n",
       "                    SPD   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col0\" class=\"data row53 col0\">\n",
       "                    143.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col1\" class=\"data row53 col1\">\n",
       "                    0.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col2\" class=\"data row53 col2\">\n",
       "                    -0.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col3\" class=\"data row53 col3\">\n",
       "                    -0.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col4\" class=\"data row53 col4\">\n",
       "                    0.26\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col5\" class=\"data row53 col5\">\n",
       "                    0.09\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col6\" class=\"data row53 col6\">\n",
       "                    -0\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col7\" class=\"data row53 col7\">\n",
       "                    0.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow53_col8\" class=\"data row53 col8\">\n",
       "                    -0\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row54\">\n",
       "                    OXYG  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col0\" class=\"data row54 col0\">\n",
       "                    135.57\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col1\" class=\"data row54 col1\">\n",
       "                    -5.24\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col2\" class=\"data row54 col2\">\n",
       "                    -1.84\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col3\" class=\"data row54 col3\">\n",
       "                    -5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col4\" class=\"data row54 col4\">\n",
       "                    -1.97\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col5\" class=\"data row54 col5\">\n",
       "                    -10.24\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col6\" class=\"data row54 col6\">\n",
       "                    -3.81\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col7\" class=\"data row54 col7\">\n",
       "                    -7.55\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow54_col8\" class=\"data row54 col8\">\n",
       "                    -2.81\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row55\">\n",
       "                    CMT   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col0\" class=\"data row55 col0\">\n",
       "                    135.46\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col1\" class=\"data row55 col1\">\n",
       "                    -2.89\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col2\" class=\"data row55 col2\">\n",
       "                    -0.82\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col3\" class=\"data row55 col3\">\n",
       "                    0.68\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col4\" class=\"data row55 col4\">\n",
       "                    -0.16\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col5\" class=\"data row55 col5\">\n",
       "                    -2.22\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col6\" class=\"data row55 col6\">\n",
       "                    -0.98\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col7\" class=\"data row55 col7\">\n",
       "                    -1.64\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow55_col8\" class=\"data row55 col8\">\n",
       "                    -0.72\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row56\">\n",
       "                    MIL   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col0\" class=\"data row56 col0\">\n",
       "                    134.91\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col1\" class=\"data row56 col1\">\n",
       "                    0.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col2\" class=\"data row56 col2\">\n",
       "                    -0.36\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col3\" class=\"data row56 col3\">\n",
       "                    0.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col4\" class=\"data row56 col4\">\n",
       "                    -1.9\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col5\" class=\"data row56 col5\">\n",
       "                    0.28\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col6\" class=\"data row56 col6\">\n",
       "                    -2.25\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col7\" class=\"data row56 col7\">\n",
       "                    0.21\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow56_col8\" class=\"data row56 col8\">\n",
       "                    -1.67\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row57\">\n",
       "                    NGWD  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col0\" class=\"data row57 col0\">\n",
       "                    132.91\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col1\" class=\"data row57 col1\">\n",
       "                    0.14\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col2\" class=\"data row57 col2\">\n",
       "                    0.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col3\" class=\"data row57 col3\">\n",
       "                    -0.98\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col4\" class=\"data row57 col4\">\n",
       "                    2.09\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col5\" class=\"data row57 col5\">\n",
       "                    -0.84\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col6\" class=\"data row57 col6\">\n",
       "                    2.15\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col7\" class=\"data row57 col7\">\n",
       "                    -0.63\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow57_col8\" class=\"data row57 col8\">\n",
       "                    1.62\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row58\">\n",
       "                    NBCSN \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col0\" class=\"data row58 col0\">\n",
       "                    131.56\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col1\" class=\"data row58 col1\">\n",
       "                    0.22\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col2\" class=\"data row58 col2\">\n",
       "                    -1.1\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col3\" class=\"data row58 col3\">\n",
       "                    -0.29\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col4\" class=\"data row58 col4\">\n",
       "                    -0.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col5\" class=\"data row58 col5\">\n",
       "                    -0.07\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col6\" class=\"data row58 col6\">\n",
       "                    -1.3\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col7\" class=\"data row58 col7\">\n",
       "                    -0.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow58_col8\" class=\"data row58 col8\">\n",
       "                    -0.99\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row59\">\n",
       "                    DIY   \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col0\" class=\"data row59 col0\">\n",
       "                    128.19\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col1\" class=\"data row59 col1\">\n",
       "                    -0.12\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col2\" class=\"data row59 col2\">\n",
       "                    -0.2\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col3\" class=\"data row59 col3\">\n",
       "                    -1.08\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col4\" class=\"data row59 col4\">\n",
       "                    -1.11\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col5\" class=\"data row59 col5\">\n",
       "                    -1.21\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col6\" class=\"data row59 col6\">\n",
       "                    -1.31\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col7\" class=\"data row59 col7\">\n",
       "                    -0.94\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow59_col8\" class=\"data row59 col8\">\n",
       "                    -1.02\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85e\" class=\"row_heading level8 row60\">\n",
       "                    BBCA  \n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col0\" class=\"data row60 col0\">\n",
       "                    119.28\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col1\" class=\"data row60 col1\">\n",
       "                    -0.41\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col2\" class=\"data row60 col2\">\n",
       "                    -1.83\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col3\" class=\"data row60 col3\">\n",
       "                    0.49\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col4\" class=\"data row60 col4\">\n",
       "                    -0.67\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col5\" class=\"data row60 col5\">\n",
       "                    0.08\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col6\" class=\"data row60 col6\">\n",
       "                    -2.5\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col7\" class=\"data row60 col7\">\n",
       "                    0.06\n",
       "                \n",
       "                <td id=\"T_70161f5e_13c2_11e6_ad19_5cc5d460b85erow60_col8\" class=\"data row60 col8\">\n",
       "                    -2.1\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",