Prac EKM2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib\n",
    "import pandas as pd\n",
    "import time\n",
    "import tqdm\n",
    "import matplotlib\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "from linearmodels.iv import IV2SLS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rcParams['figure.figsize']=(7,7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th>cpi</th>\n",
       "      <th>population</th>\n",
       "      <th>packs</th>\n",
       "      <th>income</th>\n",
       "      <th>tax</th>\n",
       "      <th>price</th>\n",
       "      <th>taxs</th>\n",
       "      <th>sales_tax</th>\n",
       "      <th>year_1995</th>\n",
       "      <th>rprice</th>\n",
       "      <th>income_pop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AL</td>\n",
       "      <td>1985</td>\n",
       "      <td>1.076</td>\n",
       "      <td>3973000.0</td>\n",
       "      <td>116.486282</td>\n",
       "      <td>46014968</td>\n",
       "      <td>32.500004</td>\n",
       "      <td>102.181671</td>\n",
       "      <td>33.348335</td>\n",
       "      <td>0.788412</td>\n",
       "      <td>0</td>\n",
       "      <td>94.964381</td>\n",
       "      <td>11.581920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AR</td>\n",
       "      <td>1985</td>\n",
       "      <td>1.076</td>\n",
       "      <td>2327000.0</td>\n",
       "      <td>128.534592</td>\n",
       "      <td>26210736</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>101.474998</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>94.307622</td>\n",
       "      <td>11.263746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AZ</td>\n",
       "      <td>1985</td>\n",
       "      <td>1.076</td>\n",
       "      <td>3184000.0</td>\n",
       "      <td>104.522614</td>\n",
       "      <td>43956936</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>108.578751</td>\n",
       "      <td>36.170418</td>\n",
       "      <td>4.805221</td>\n",
       "      <td>0</td>\n",
       "      <td>100.909622</td>\n",
       "      <td>13.805570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CA</td>\n",
       "      <td>1985</td>\n",
       "      <td>1.076</td>\n",
       "      <td>26444000.0</td>\n",
       "      <td>100.363037</td>\n",
       "      <td>447102816</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>107.837341</td>\n",
       "      <td>32.104000</td>\n",
       "      <td>5.672863</td>\n",
       "      <td>0</td>\n",
       "      <td>100.220580</td>\n",
       "      <td>16.907534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CO</td>\n",
       "      <td>1985</td>\n",
       "      <td>1.076</td>\n",
       "      <td>3209000.0</td>\n",
       "      <td>112.963539</td>\n",
       "      <td>49466672</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>94.266663</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>87.608425</td>\n",
       "      <td>15.414980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  state  year    cpi  population       packs     income        tax  \\\n",
       "0    AL  1985  1.076   3973000.0  116.486282   46014968  32.500004   \n",
       "1    AR  1985  1.076   2327000.0  128.534592   26210736  37.000000   \n",
       "2    AZ  1985  1.076   3184000.0  104.522614   43956936  31.000000   \n",
       "3    CA  1985  1.076  26444000.0  100.363037  447102816  26.000000   \n",
       "4    CO  1985  1.076   3209000.0  112.963539   49466672  31.000000   \n",
       "\n",
       "        price       taxs  sales_tax  year_1995      rprice  income_pop  \n",
       "0  102.181671  33.348335   0.788412          0   94.964381   11.581920  \n",
       "1  101.474998  37.000000   0.000000          0   94.307622   11.263746  \n",
       "2  108.578751  36.170418   4.805221          0  100.909622   13.805570  \n",
       "3  107.837341  32.104000   5.672863          0  100.220580   16.907534  \n",
       "4   94.266663  31.000000   0.000000          0   87.608425   15.414980  "
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dat = pd.read_csv('/Users/tony/Desktop/CigarettesSW.csv')\n",
    "del dat['Unnamed: 0']\n",
    "dat['sales_tax'] = (dat.taxs - dat.tax)/dat.cpi\n",
    "dat['year_1995'] = 1*(dat.year == 1995)\n",
    "dat['rprice'] = dat.price/dat.cpi\n",
    "dat['income_pop'] = dat.income/dat.population\n",
    "dat.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>cpi</th>\n",
       "      <th>population</th>\n",
       "      <th>packs</th>\n",
       "      <th>income</th>\n",
       "      <th>tax</th>\n",
       "      <th>price</th>\n",
       "      <th>taxs</th>\n",
       "      <th>sales_tax</th>\n",
       "      <th>year_1995</th>\n",
       "      <th>rprice</th>\n",
       "      <th>income_pop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>9.600000e+01</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>9.600000e+01</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>96.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1990.000000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>5.168866e+06</td>\n",
       "      <td>109.182424</td>\n",
       "      <td>9.987874e+07</td>\n",
       "      <td>42.684028</td>\n",
       "      <td>143.447938</td>\n",
       "      <td>48.326150</td>\n",
       "      <td>4.126912</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>108.284081</td>\n",
       "      <td>18.164762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.026247</td>\n",
       "      <td>0.225176</td>\n",
       "      <td>5.442345e+06</td>\n",
       "      <td>25.871305</td>\n",
       "      <td>1.205411e+08</td>\n",
       "      <td>16.138088</td>\n",
       "      <td>43.887444</td>\n",
       "      <td>19.332215</td>\n",
       "      <td>2.934346</td>\n",
       "      <td>0.502625</td>\n",
       "      <td>17.364136</td>\n",
       "      <td>5.038722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1985.000000</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>4.784470e+05</td>\n",
       "      <td>49.272198</td>\n",
       "      <td>6.887097e+06</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>84.967995</td>\n",
       "      <td>21.268000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>78.966540</td>\n",
       "      <td>9.922154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1985.000000</td>\n",
       "      <td>1.076000</td>\n",
       "      <td>1.622606e+06</td>\n",
       "      <td>92.450159</td>\n",
       "      <td>2.552038e+07</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>102.706415</td>\n",
       "      <td>34.770125</td>\n",
       "      <td>0.812811</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>95.452061</td>\n",
       "      <td>13.834615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1990.000000</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>3.697472e+06</td>\n",
       "      <td>110.160660</td>\n",
       "      <td>6.166164e+07</td>\n",
       "      <td>37.000002</td>\n",
       "      <td>137.720383</td>\n",
       "      <td>41.048750</td>\n",
       "      <td>4.790106</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>103.543779</td>\n",
       "      <td>17.781999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1995.000000</td>\n",
       "      <td>1.524000</td>\n",
       "      <td>5.901500e+06</td>\n",
       "      <td>123.523010</td>\n",
       "      <td>1.273140e+08</td>\n",
       "      <td>50.875000</td>\n",
       "      <td>176.150471</td>\n",
       "      <td>59.476979</td>\n",
       "      <td>5.968079</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>118.091999</td>\n",
       "      <td>21.976914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1995.000000</td>\n",
       "      <td>1.524000</td>\n",
       "      <td>3.149352e+07</td>\n",
       "      <td>197.993988</td>\n",
       "      <td>7.714701e+08</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>240.849670</td>\n",
       "      <td>112.633003</td>\n",
       "      <td>10.264219</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>158.037849</td>\n",
       "      <td>31.946634</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              year        cpi    population       packs        income  \\\n",
       "count    96.000000  96.000000  9.600000e+01   96.000000  9.600000e+01   \n",
       "mean   1990.000000   1.300000  5.168866e+06  109.182424  9.987874e+07   \n",
       "std       5.026247   0.225176  5.442345e+06   25.871305  1.205411e+08   \n",
       "min    1985.000000   1.076000  4.784470e+05   49.272198  6.887097e+06   \n",
       "25%    1985.000000   1.076000  1.622606e+06   92.450159  2.552038e+07   \n",
       "50%    1990.000000   1.300000  3.697472e+06  110.160660  6.166164e+07   \n",
       "75%    1995.000000   1.524000  5.901500e+06  123.523010  1.273140e+08   \n",
       "max    1995.000000   1.524000  3.149352e+07  197.993988  7.714701e+08   \n",
       "\n",
       "             tax       price        taxs  sales_tax  year_1995      rprice  \\\n",
       "count  96.000000   96.000000   96.000000  96.000000  96.000000   96.000000   \n",
       "mean   42.684028  143.447938   48.326150   4.126912   0.500000  108.284081   \n",
       "std    16.138088   43.887444   19.332215   2.934346   0.502625   17.364136   \n",
       "min    18.000000   84.967995   21.268000   0.000000   0.000000   78.966540   \n",
       "25%    31.000000  102.706415   34.770125   0.812811   0.000000   95.452061   \n",
       "50%    37.000002  137.720383   41.048750   4.790106   0.500000  103.543779   \n",
       "75%    50.875000  176.150471   59.476979   5.968079   1.000000  118.091999   \n",
       "max    99.000000  240.849670  112.633003  10.264219   1.000000  158.037849   \n",
       "\n",
       "       income_pop  \n",
       "count   96.000000  \n",
       "mean    18.164762  \n",
       "std      5.038722  \n",
       "min      9.922154  \n",
       "25%     13.834615  \n",
       "50%     17.781999  \n",
       "75%     21.976914  \n",
       "max     31.946634  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Описательные статистики\n",
    "dat.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>cpi</th>\n",
       "      <th>population</th>\n",
       "      <th>packs</th>\n",
       "      <th>income</th>\n",
       "      <th>tax</th>\n",
       "      <th>price</th>\n",
       "      <th>taxs</th>\n",
       "      <th>sales_tax</th>\n",
       "      <th>year_1995</th>\n",
       "      <th>rprice</th>\n",
       "      <th>income_pop</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">AL</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3973000.0</td>\n",
       "      <td>116.486282</td>\n",
       "      <td>46014968</td>\n",
       "      <td>32.500004</td>\n",
       "      <td>102.181671</td>\n",
       "      <td>33.348335</td>\n",
       "      <td>0.788412</td>\n",
       "      <td>0</td>\n",
       "      <td>94.964381</td>\n",
       "      <td>11.581920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>4262731.0</td>\n",
       "      <td>101.085434</td>\n",
       "      <td>83903280</td>\n",
       "      <td>40.500004</td>\n",
       "      <td>158.371338</td>\n",
       "      <td>41.904671</td>\n",
       "      <td>0.921697</td>\n",
       "      <td>1</td>\n",
       "      <td>103.918206</td>\n",
       "      <td>19.682987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">AR</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>2327000.0</td>\n",
       "      <td>128.534592</td>\n",
       "      <td>26210736</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>101.474998</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>94.307622</td>\n",
       "      <td>11.263746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>2480121.0</td>\n",
       "      <td>111.042969</td>\n",
       "      <td>45995496</td>\n",
       "      <td>55.500000</td>\n",
       "      <td>175.542511</td>\n",
       "      <td>63.859169</td>\n",
       "      <td>5.485019</td>\n",
       "      <td>1</td>\n",
       "      <td>115.185380</td>\n",
       "      <td>18.545666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">AZ</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3184000.0</td>\n",
       "      <td>104.522614</td>\n",
       "      <td>43956936</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>108.578751</td>\n",
       "      <td>36.170418</td>\n",
       "      <td>4.805221</td>\n",
       "      <td>0</td>\n",
       "      <td>100.909622</td>\n",
       "      <td>13.805570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>4306908.0</td>\n",
       "      <td>71.954170</td>\n",
       "      <td>88870496</td>\n",
       "      <td>65.333328</td>\n",
       "      <td>198.607498</td>\n",
       "      <td>74.790825</td>\n",
       "      <td>6.205707</td>\n",
       "      <td>1</td>\n",
       "      <td>130.319887</td>\n",
       "      <td>20.634408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">CA</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>26444000.0</td>\n",
       "      <td>100.363037</td>\n",
       "      <td>447102816</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>107.837341</td>\n",
       "      <td>32.104000</td>\n",
       "      <td>5.672863</td>\n",
       "      <td>0</td>\n",
       "      <td>100.220580</td>\n",
       "      <td>16.907534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>31493524.0</td>\n",
       "      <td>56.859306</td>\n",
       "      <td>771470144</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>210.504669</td>\n",
       "      <td>74.771332</td>\n",
       "      <td>9.036307</td>\n",
       "      <td>1</td>\n",
       "      <td>138.126430</td>\n",
       "      <td>24.496152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">CO</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3209000.0</td>\n",
       "      <td>112.963539</td>\n",
       "      <td>49466672</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>94.266663</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>87.608425</td>\n",
       "      <td>15.414980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>3738061.0</td>\n",
       "      <td>82.582924</td>\n",
       "      <td>92946544</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>167.350006</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>109.809720</td>\n",
       "      <td>24.864908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">CT</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3201000.0</td>\n",
       "      <td>109.278351</td>\n",
       "      <td>60063368</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>128.024994</td>\n",
       "      <td>51.483334</td>\n",
       "      <td>8.813507</td>\n",
       "      <td>0</td>\n",
       "      <td>118.982339</td>\n",
       "      <td>18.763939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>3265293.0</td>\n",
       "      <td>79.472191</td>\n",
       "      <td>104315120</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>218.280502</td>\n",
       "      <td>86.355499</td>\n",
       "      <td>8.107283</td>\n",
       "      <td>1</td>\n",
       "      <td>143.228683</td>\n",
       "      <td>31.946634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">DE</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>618000.0</td>\n",
       "      <td>143.851135</td>\n",
       "      <td>9927301</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>102.491661</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>95.252475</td>\n",
       "      <td>16.063594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>718265.0</td>\n",
       "      <td>124.466599</td>\n",
       "      <td>18237436</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>165.600006</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>108.661426</td>\n",
       "      <td>25.390957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">FL</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>11352000.0</td>\n",
       "      <td>122.181122</td>\n",
       "      <td>166919248</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>115.290001</td>\n",
       "      <td>42.490002</td>\n",
       "      <td>5.102232</td>\n",
       "      <td>0</td>\n",
       "      <td>107.146843</td>\n",
       "      <td>14.703951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>14185403.0</td>\n",
       "      <td>93.074554</td>\n",
       "      <td>333525344</td>\n",
       "      <td>57.900002</td>\n",
       "      <td>187.717178</td>\n",
       "      <td>68.525505</td>\n",
       "      <td>6.972116</td>\n",
       "      <td>1</td>\n",
       "      <td>123.174007</td>\n",
       "      <td>23.511869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">GA</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>5963000.0</td>\n",
       "      <td>127.234619</td>\n",
       "      <td>78364336</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>97.025169</td>\n",
       "      <td>28.841833</td>\n",
       "      <td>0.782373</td>\n",
       "      <td>0</td>\n",
       "      <td>90.172093</td>\n",
       "      <td>13.141764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>7188538.0</td>\n",
       "      <td>97.474625</td>\n",
       "      <td>159800448</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>156.573074</td>\n",
       "      <td>37.431416</td>\n",
       "      <td>0.939249</td>\n",
       "      <td>1</td>\n",
       "      <td>102.738243</td>\n",
       "      <td>22.229895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">IA</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>2830000.0</td>\n",
       "      <td>113.745583</td>\n",
       "      <td>37902896</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>101.842003</td>\n",
       "      <td>37.917000</td>\n",
       "      <td>3.640334</td>\n",
       "      <td>0</td>\n",
       "      <td>94.648704</td>\n",
       "      <td>13.393249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>2840860.0</td>\n",
       "      <td>92.401596</td>\n",
       "      <td>60170928</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>190.889999</td>\n",
       "      <td>69.089996</td>\n",
       "      <td>5.964565</td>\n",
       "      <td>1</td>\n",
       "      <td>125.255911</td>\n",
       "      <td>21.180533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">ID</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>994000.0</td>\n",
       "      <td>103.018112</td>\n",
       "      <td>11577261</td>\n",
       "      <td>25.100000</td>\n",
       "      <td>102.899330</td>\n",
       "      <td>29.057667</td>\n",
       "      <td>3.678129</td>\n",
       "      <td>0</td>\n",
       "      <td>95.631350</td>\n",
       "      <td>11.647144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>1165000.0</td>\n",
       "      <td>74.849785</td>\n",
       "      <td>22868920</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>179.637512</td>\n",
       "      <td>60.554169</td>\n",
       "      <td>5.612972</td>\n",
       "      <td>1</td>\n",
       "      <td>117.872389</td>\n",
       "      <td>19.629974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">IL</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>11401000.0</td>\n",
       "      <td>123.208481</td>\n",
       "      <td>176786352</td>\n",
       "      <td>28.000006</td>\n",
       "      <td>104.440254</td>\n",
       "      <td>28.915257</td>\n",
       "      <td>0.850605</td>\n",
       "      <td>0</td>\n",
       "      <td>97.063436</td>\n",
       "      <td>15.506215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>11884935.0</td>\n",
       "      <td>83.265076</td>\n",
       "      <td>304767456</td>\n",
       "      <td>68.000008</td>\n",
       "      <td>198.476166</td>\n",
       "      <td>79.234505</td>\n",
       "      <td>7.371718</td>\n",
       "      <td>1</td>\n",
       "      <td>130.233711</td>\n",
       "      <td>25.643174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">IN</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>5460000.0</td>\n",
       "      <td>137.637375</td>\n",
       "      <td>71751616</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>96.180000</td>\n",
       "      <td>31.080000</td>\n",
       "      <td>4.256506</td>\n",
       "      <td>0</td>\n",
       "      <td>89.386619</td>\n",
       "      <td>13.141322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>5791819.0</td>\n",
       "      <td>134.258347</td>\n",
       "      <td>126525008</td>\n",
       "      <td>39.500000</td>\n",
       "      <td>154.533752</td>\n",
       "      <td>46.858749</td>\n",
       "      <td>4.828576</td>\n",
       "      <td>1</td>\n",
       "      <td>101.400105</td>\n",
       "      <td>21.845470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">KS</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>2428000.0</td>\n",
       "      <td>116.680397</td>\n",
       "      <td>34784360</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>98.922913</td>\n",
       "      <td>34.881248</td>\n",
       "      <td>2.677740</td>\n",
       "      <td>0</td>\n",
       "      <td>91.935794</td>\n",
       "      <td>14.326343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>2586942.0</td>\n",
       "      <td>88.753441</td>\n",
       "      <td>56626672</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>175.210007</td>\n",
       "      <td>56.343334</td>\n",
       "      <td>5.474629</td>\n",
       "      <td>1</td>\n",
       "      <td>114.967201</td>\n",
       "      <td>21.889425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">KY</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3695000.0</td>\n",
       "      <td>186.035187</td>\n",
       "      <td>42703144</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>87.001251</td>\n",
       "      <td>23.142918</td>\n",
       "      <td>3.850295</td>\n",
       "      <td>0</td>\n",
       "      <td>80.856183</td>\n",
       "      <td>11.557008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>3855248.0</td>\n",
       "      <td>172.647781</td>\n",
       "      <td>74079712</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>145.979675</td>\n",
       "      <td>35.263000</td>\n",
       "      <td>5.421917</td>\n",
       "      <td>1</td>\n",
       "      <td>95.787193</td>\n",
       "      <td>19.215291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">OK</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3272000.0</td>\n",
       "      <td>127.139366</td>\n",
       "      <td>43395580</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>101.468079</td>\n",
       "      <td>34.826416</td>\n",
       "      <td>0.768045</td>\n",
       "      <td>0</td>\n",
       "      <td>94.301190</td>\n",
       "      <td>13.262708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>3265547.0</td>\n",
       "      <td>108.680107</td>\n",
       "      <td>63333300</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>170.134995</td>\n",
       "      <td>55.101665</td>\n",
       "      <td>5.316054</td>\n",
       "      <td>1</td>\n",
       "      <td>111.637141</td>\n",
       "      <td>19.394392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">OR</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>2673000.0</td>\n",
       "      <td>119.453796</td>\n",
       "      <td>36205164</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>97.033333</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>90.179679</td>\n",
       "      <td>13.544768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>3141421.0</td>\n",
       "      <td>92.155746</td>\n",
       "      <td>71209312</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>190.300003</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>124.868774</td>\n",
       "      <td>22.667867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">PA</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>11772000.0</td>\n",
       "      <td>117.703026</td>\n",
       "      <td>170033840</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>109.074005</td>\n",
       "      <td>40.174000</td>\n",
       "      <td>5.737918</td>\n",
       "      <td>0</td>\n",
       "      <td>101.369896</td>\n",
       "      <td>14.443921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>12044780.0</td>\n",
       "      <td>95.643089</td>\n",
       "      <td>285923232</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>176.163162</td>\n",
       "      <td>64.971497</td>\n",
       "      <td>6.542977</td>\n",
       "      <td>1</td>\n",
       "      <td>115.592631</td>\n",
       "      <td>23.738352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">RI</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>967000.0</td>\n",
       "      <td>132.781784</td>\n",
       "      <td>14229156</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>100.941666</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>93.811959</td>\n",
       "      <td>14.714743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>989203.0</td>\n",
       "      <td>92.599800</td>\n",
       "      <td>23786644</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>224.459244</td>\n",
       "      <td>94.684250</td>\n",
       "      <td>9.635335</td>\n",
       "      <td>1</td>\n",
       "      <td>147.282975</td>\n",
       "      <td>24.046272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">SC</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>3304000.0</td>\n",
       "      <td>127.209442</td>\n",
       "      <td>38536176</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>90.641251</td>\n",
       "      <td>27.316250</td>\n",
       "      <td>4.011385</td>\n",
       "      <td>0</td>\n",
       "      <td>84.239082</td>\n",
       "      <td>11.663492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>3699943.0</td>\n",
       "      <td>108.082748</td>\n",
       "      <td>72050072</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>152.818741</td>\n",
       "      <td>38.277084</td>\n",
       "      <td>4.774990</td>\n",
       "      <td>1</td>\n",
       "      <td>100.274769</td>\n",
       "      <td>19.473292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">SD</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>698000.0</td>\n",
       "      <td>106.590256</td>\n",
       "      <td>8340000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>97.083336</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>90.226151</td>\n",
       "      <td>11.948424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>728251.0</td>\n",
       "      <td>97.219231</td>\n",
       "      <td>14454129</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>168.037994</td>\n",
       "      <td>53.463001</td>\n",
       "      <td>4.240815</td>\n",
       "      <td>1</td>\n",
       "      <td>110.261156</td>\n",
       "      <td>19.847730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TN</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>4716000.0</td>\n",
       "      <td>129.834595</td>\n",
       "      <td>57749668</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>101.945503</td>\n",
       "      <td>34.770500</td>\n",
       "      <td>5.362919</td>\n",
       "      <td>0</td>\n",
       "      <td>94.744894</td>\n",
       "      <td>12.245477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>5241168.0</td>\n",
       "      <td>122.320053</td>\n",
       "      <td>114259984</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>167.067001</td>\n",
       "      <td>49.375332</td>\n",
       "      <td>8.120297</td>\n",
       "      <td>1</td>\n",
       "      <td>109.624022</td>\n",
       "      <td>21.800481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TX</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>16275000.0</td>\n",
       "      <td>115.102928</td>\n",
       "      <td>231003152</td>\n",
       "      <td>35.250000</td>\n",
       "      <td>107.379997</td>\n",
       "      <td>39.380001</td>\n",
       "      <td>3.838291</td>\n",
       "      <td>0</td>\n",
       "      <td>99.795539</td>\n",
       "      <td>14.193742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>18679706.0</td>\n",
       "      <td>73.079308</td>\n",
       "      <td>402096768</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>198.202332</td>\n",
       "      <td>76.219002</td>\n",
       "      <td>7.361550</td>\n",
       "      <td>1</td>\n",
       "      <td>130.054029</td>\n",
       "      <td>21.525862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">UT</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>1643000.0</td>\n",
       "      <td>68.046257</td>\n",
       "      <td>19462380</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>110.195839</td>\n",
       "      <td>34.237499</td>\n",
       "      <td>5.796933</td>\n",
       "      <td>0</td>\n",
       "      <td>102.412492</td>\n",
       "      <td>11.845636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>1976774.0</td>\n",
       "      <td>49.272198</td>\n",
       "      <td>37278220</td>\n",
       "      <td>50.500000</td>\n",
       "      <td>180.976257</td>\n",
       "      <td>59.117916</td>\n",
       "      <td>5.654801</td>\n",
       "      <td>1</td>\n",
       "      <td>118.750831</td>\n",
       "      <td>18.858109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">VA</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>5716000.0</td>\n",
       "      <td>134.009796</td>\n",
       "      <td>87361632</td>\n",
       "      <td>18.500002</td>\n",
       "      <td>91.615334</td>\n",
       "      <td>22.023668</td>\n",
       "      <td>3.274783</td>\n",
       "      <td>0</td>\n",
       "      <td>85.144364</td>\n",
       "      <td>15.283700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>6601392.0</td>\n",
       "      <td>105.386871</td>\n",
       "      <td>161441792</td>\n",
       "      <td>26.500006</td>\n",
       "      <td>166.661255</td>\n",
       "      <td>34.436256</td>\n",
       "      <td>5.207514</td>\n",
       "      <td>1</td>\n",
       "      <td>109.357784</td>\n",
       "      <td>24.455720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">VT</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>530000.0</td>\n",
       "      <td>145.283020</td>\n",
       "      <td>6887097</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>100.983337</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>93.850687</td>\n",
       "      <td>12.994523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>582827.0</td>\n",
       "      <td>122.334755</td>\n",
       "      <td>12448607</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>175.638748</td>\n",
       "      <td>52.363750</td>\n",
       "      <td>5.488025</td>\n",
       "      <td>1</td>\n",
       "      <td>115.248528</td>\n",
       "      <td>21.359009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">WA</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>4401000.0</td>\n",
       "      <td>96.228127</td>\n",
       "      <td>64846548</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>129.461090</td>\n",
       "      <td>47.469418</td>\n",
       "      <td>7.871206</td>\n",
       "      <td>0</td>\n",
       "      <td>120.317001</td>\n",
       "      <td>14.734503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>5431024.0</td>\n",
       "      <td>65.530922</td>\n",
       "      <td>129680832</td>\n",
       "      <td>80.500000</td>\n",
       "      <td>239.109344</td>\n",
       "      <td>96.142670</td>\n",
       "      <td>10.264219</td>\n",
       "      <td>1</td>\n",
       "      <td>156.895903</td>\n",
       "      <td>23.877787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">WI</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>4748000.0</td>\n",
       "      <td>107.876999</td>\n",
       "      <td>65732720</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>114.590004</td>\n",
       "      <td>46.456665</td>\n",
       "      <td>5.071250</td>\n",
       "      <td>0</td>\n",
       "      <td>106.496289</td>\n",
       "      <td>13.844297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>5137004.0</td>\n",
       "      <td>92.466347</td>\n",
       "      <td>115959680</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>201.381256</td>\n",
       "      <td>71.589584</td>\n",
       "      <td>6.292378</td>\n",
       "      <td>1</td>\n",
       "      <td>132.139938</td>\n",
       "      <td>22.573407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">WV</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>1907000.0</td>\n",
       "      <td>112.847404</td>\n",
       "      <td>20852964</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>108.911247</td>\n",
       "      <td>38.186249</td>\n",
       "      <td>4.819934</td>\n",
       "      <td>0</td>\n",
       "      <td>101.218634</td>\n",
       "      <td>10.934958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>1820560.0</td>\n",
       "      <td>115.568832</td>\n",
       "      <td>32611268</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>166.517181</td>\n",
       "      <td>50.425499</td>\n",
       "      <td>6.184711</td>\n",
       "      <td>1</td>\n",
       "      <td>109.263247</td>\n",
       "      <td>17.912768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">WY</th>\n",
       "      <th>1985</th>\n",
       "      <td>1.076</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>129.399994</td>\n",
       "      <td>7116756</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>93.466667</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>86.864934</td>\n",
       "      <td>14.233512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1.524</td>\n",
       "      <td>478447.0</td>\n",
       "      <td>112.238136</td>\n",
       "      <td>10293195</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>158.541656</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>104.029963</td>\n",
       "      <td>21.513762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              cpi  population       packs     income        tax       price  \\\n",
       "state year                                                                    \n",
       "AL    1985  1.076   3973000.0  116.486282   46014968  32.500004  102.181671   \n",
       "      1995  1.524   4262731.0  101.085434   83903280  40.500004  158.371338   \n",
       "AR    1985  1.076   2327000.0  128.534592   26210736  37.000000  101.474998   \n",
       "      1995  1.524   2480121.0  111.042969   45995496  55.500000  175.542511   \n",
       "AZ    1985  1.076   3184000.0  104.522614   43956936  31.000000  108.578751   \n",
       "      1995  1.524   4306908.0   71.954170   88870496  65.333328  198.607498   \n",
       "CA    1985  1.076  26444000.0  100.363037  447102816  26.000000  107.837341   \n",
       "      1995  1.524  31493524.0   56.859306  771470144  61.000000  210.504669   \n",
       "CO    1985  1.076   3209000.0  112.963539   49466672  31.000000   94.266663   \n",
       "      1995  1.524   3738061.0   82.582924   92946544  44.000000  167.350006   \n",
       "CT    1985  1.076   3201000.0  109.278351   60063368  42.000000  128.024994   \n",
       "      1995  1.524   3265293.0   79.472191  104315120  74.000000  218.280502   \n",
       "DE    1985  1.076    618000.0  143.851135    9927301  30.000000  102.491661   \n",
       "      1995  1.524    718265.0  124.466599   18237436  48.000000  165.600006   \n",
       "FL    1985  1.076  11352000.0  122.181122  166919248  37.000000  115.290001   \n",
       "      1995  1.524  14185403.0   93.074554  333525344  57.900002  187.717178   \n",
       "GA    1985  1.076   5963000.0  127.234619   78364336  28.000000   97.025169   \n",
       "      1995  1.524   7188538.0   97.474625  159800448  36.000000  156.573074   \n",
       "IA    1985  1.076   2830000.0  113.745583   37902896  34.000000  101.842003   \n",
       "      1995  1.524   2840860.0   92.401596   60170928  60.000000  190.889999   \n",
       "ID    1985  1.076    994000.0  103.018112   11577261  25.100000  102.899330   \n",
       "      1995  1.524   1165000.0   74.849785   22868920  52.000000  179.637512   \n",
       "IL    1985  1.076  11401000.0  123.208481  176786352  28.000006  104.440254   \n",
       "      1995  1.524  11884935.0   83.265076  304767456  68.000008  198.476166   \n",
       "IN    1985  1.076   5460000.0  137.637375   71751616  26.500000   96.180000   \n",
       "      1995  1.524   5791819.0  134.258347  126525008  39.500000  154.533752   \n",
       "KS    1985  1.076   2428000.0  116.680397   34784360  32.000000   98.922913   \n",
       "      1995  1.524   2586942.0   88.753441   56626672  48.000000  175.210007   \n",
       "KY    1985  1.076   3695000.0  186.035187   42703144  19.000000   87.001251   \n",
       "      1995  1.524   3855248.0  172.647781   74079712  27.000000  145.979675   \n",
       "...           ...         ...         ...        ...        ...         ...   \n",
       "OK    1985  1.076   3272000.0  127.139366   43395580  34.000000  101.468079   \n",
       "      1995  1.524   3265547.0  108.680107   63333300  47.000000  170.134995   \n",
       "OR    1985  1.076   2673000.0  119.453796   36205164  35.000000   97.033333   \n",
       "      1995  1.524   3141421.0   92.155746   71209312  62.000000  190.300003   \n",
       "PA    1985  1.076  11772000.0  117.703026  170033840  34.000000  109.074005   \n",
       "      1995  1.524  12044780.0   95.643089  285923232  55.000000  176.163162   \n",
       "RI    1985  1.076    967000.0  132.781784   14229156  39.000000  100.941666   \n",
       "      1995  1.524    989203.0   92.599800   23786644  80.000000  224.459244   \n",
       "SC    1985  1.076   3304000.0  127.209442   38536176  23.000000   90.641251   \n",
       "      1995  1.524   3699943.0  108.082748   72050072  31.000000  152.818741   \n",
       "SD    1985  1.076    698000.0  106.590256    8340000  31.000000   97.083336   \n",
       "      1995  1.524    728251.0   97.219231   14454129  47.000000  168.037994   \n",
       "TN    1985  1.076   4716000.0  129.834595   57749668  29.000000  101.945503   \n",
       "      1995  1.524   5241168.0  122.320053  114259984  37.000000  167.067001   \n",
       "TX    1985  1.076  16275000.0  115.102928  231003152  35.250000  107.379997   \n",
       "      1995  1.524  18679706.0   73.079308  402096768  65.000000  198.202332   \n",
       "UT    1985  1.076   1643000.0   68.046257   19462380  28.000000  110.195839   \n",
       "      1995  1.524   1976774.0   49.272198   37278220  50.500000  180.976257   \n",
       "VA    1985  1.076   5716000.0  134.009796   87361632  18.500002   91.615334   \n",
       "      1995  1.524   6601392.0  105.386871  161441792  26.500006  166.661255   \n",
       "VT    1985  1.076    530000.0  145.283020    6887097  33.000000  100.983337   \n",
       "      1995  1.524    582827.0  122.334755   12448607  44.000000  175.638748   \n",
       "WA    1985  1.076   4401000.0   96.228127   64846548  39.000000  129.461090   \n",
       "      1995  1.524   5431024.0   65.530922  129680832  80.500000  239.109344   \n",
       "WI    1985  1.076   4748000.0  107.876999   65732720  41.000000  114.590004   \n",
       "      1995  1.524   5137004.0   92.466347  115959680  62.000000  201.381256   \n",
       "WV    1985  1.076   1907000.0  112.847404   20852964  33.000000  108.911247   \n",
       "      1995  1.524   1820560.0  115.568832   32611268  41.000000  166.517181   \n",
       "WY    1985  1.076    500000.0  129.399994    7116756  24.000000   93.466667   \n",
       "      1995  1.524    478447.0  112.238136   10293195  36.000000  158.541656   \n",
       "\n",
       "                 taxs  sales_tax  year_1995      rprice  income_pop  \n",
       "state year                                                           \n",
       "AL    1985  33.348335   0.788412          0   94.964381   11.581920  \n",
       "      1995  41.904671   0.921697          1  103.918206   19.682987  \n",
       "AR    1985  37.000000   0.000000          0   94.307622   11.263746  \n",
       "      1995  63.859169   5.485019          1  115.185380   18.545666  \n",
       "AZ    1985  36.170418   4.805221          0  100.909622   13.805570  \n",
       "      1995  74.790825   6.205707          1  130.319887   20.634408  \n",
       "CA    1985  32.104000   5.672863          0  100.220580   16.907534  \n",
       "      1995  74.771332   9.036307          1  138.126430   24.496152  \n",
       "CO    1985  31.000000   0.000000          0   87.608425   15.414980  \n",
       "      1995  44.000000   0.000000          1  109.809720   24.864908  \n",
       "CT    1985  51.483334   8.813507          0  118.982339   18.763939  \n",
       "      1995  86.355499   8.107283          1  143.228683   31.946634  \n",
       "DE    1985  30.000000   0.000000          0   95.252475   16.063594  \n",
       "      1995  48.000000   0.000000          1  108.661426   25.390957  \n",
       "FL    1985  42.490002   5.102232          0  107.146843   14.703951  \n",
       "      1995  68.525505   6.972116          1  123.174007   23.511869  \n",
       "GA    1985  28.841833   0.782373          0   90.172093   13.141764  \n",
       "      1995  37.431416   0.939249          1  102.738243   22.229895  \n",
       "IA    1985  37.917000   3.640334          0   94.648704   13.393249  \n",
       "      1995  69.089996   5.964565          1  125.255911   21.180533  \n",
       "ID    1985  29.057667   3.678129          0   95.631350   11.647144  \n",
       "      1995  60.554169   5.612972          1  117.872389   19.629974  \n",
       "IL    1985  28.915257   0.850605          0   97.063436   15.506215  \n",
       "      1995  79.234505   7.371718          1  130.233711   25.643174  \n",
       "IN    1985  31.080000   4.256506          0   89.386619   13.141322  \n",
       "      1995  46.858749   4.828576          1  101.400105   21.845470  \n",
       "KS    1985  34.881248   2.677740          0   91.935794   14.326343  \n",
       "      1995  56.343334   5.474629          1  114.967201   21.889425  \n",
       "KY    1985  23.142918   3.850295          0   80.856183   11.557008  \n",
       "      1995  35.263000   5.421917          1   95.787193   19.215291  \n",
       "...               ...        ...        ...         ...         ...  \n",
       "OK    1985  34.826416   0.768045          0   94.301190   13.262708  \n",
       "      1995  55.101665   5.316054          1  111.637141   19.394392  \n",
       "OR    1985  35.000000   0.000000          0   90.179679   13.544768  \n",
       "      1995  62.000000   0.000000          1  124.868774   22.667867  \n",
       "PA    1985  40.174000   5.737918          0  101.369896   14.443921  \n",
       "      1995  64.971497   6.542977          1  115.592631   23.738352  \n",
       "RI    1985  39.000000   0.000000          0   93.811959   14.714743  \n",
       "      1995  94.684250   9.635335          1  147.282975   24.046272  \n",
       "SC    1985  27.316250   4.011385          0   84.239082   11.663492  \n",
       "      1995  38.277084   4.774990          1  100.274769   19.473292  \n",
       "SD    1985  31.000000   0.000000          0   90.226151   11.948424  \n",
       "      1995  53.463001   4.240815          1  110.261156   19.847730  \n",
       "TN    1985  34.770500   5.362919          0   94.744894   12.245477  \n",
       "      1995  49.375332   8.120297          1  109.624022   21.800481  \n",
       "TX    1985  39.380001   3.838291          0   99.795539   14.193742  \n",
       "      1995  76.219002   7.361550          1  130.054029   21.525862  \n",
       "UT    1985  34.237499   5.796933          0  102.412492   11.845636  \n",
       "      1995  59.117916   5.654801          1  118.750831   18.858109  \n",
       "VA    1985  22.023668   3.274783          0   85.144364   15.283700  \n",
       "      1995  34.436256   5.207514          1  109.357784   24.455720  \n",
       "VT    1985  33.000000   0.000000          0   93.850687   12.994523  \n",
       "      1995  52.363750   5.488025          1  115.248528   21.359009  \n",
       "WA    1985  47.469418   7.871206          0  120.317001   14.734503  \n",
       "      1995  96.142670  10.264219          1  156.895903   23.877787  \n",
       "WI    1985  46.456665   5.071250          0  106.496289   13.844297  \n",
       "      1995  71.589584   6.292378          1  132.139938   22.573407  \n",
       "WV    1985  38.186249   4.819934          0  101.218634   10.934958  \n",
       "      1995  50.425499   6.184711          1  109.263247   17.912768  \n",
       "WY    1985  24.000000   0.000000          0   86.864934   14.233512  \n",
       "      1995  36.000000   0.000000          1  104.029963   21.513762  \n",
       "\n",
       "[96 rows x 11 columns]"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Среднее значение по штатам по времени\n",
    "dat.groupby(['state', 'year']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col0 {\n",
       "            \n",
       "                background-color:  #81a4fb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col1 {\n",
       "            \n",
       "                background-color:  #8fb1fe;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col2 {\n",
       "            \n",
       "                background-color:  #dcdddd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col4 {\n",
       "            \n",
       "                background-color:  #86a9fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col5 {\n",
       "            \n",
       "                background-color:  #f29274;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col6 {\n",
       "            \n",
       "                background-color:  #f29274;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col7 {\n",
       "            \n",
       "                background-color:  #7b9ff9;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col8 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col9 {\n",
       "            \n",
       "                background-color:  #cd423b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col0 {\n",
       "            \n",
       "                background-color:  #94b6ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col1 {\n",
       "            \n",
       "                background-color:  #aec9fc;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col2 {\n",
       "            \n",
       "                background-color:  #dadce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col4 {\n",
       "            \n",
       "                background-color:  #a9c6fd;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col5 {\n",
       "            \n",
       "                background-color:  #d44e41;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col6 {\n",
       "            \n",
       "                background-color:  #d44e41;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col7 {\n",
       "            \n",
       "                background-color:  #edd2c3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col8 {\n",
       "            \n",
       "                background-color:  #cc403a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col9 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"col_heading level0 col0\">cpi\n",
       "                \n",
       "                <th class=\"col_heading level0 col1\">income\n",
       "                \n",
       "                <th class=\"col_heading level0 col2\">income_pop\n",
       "                \n",
       "                <th class=\"col_heading level0 col3\">packs\n",
       "                \n",
       "                <th class=\"col_heading level0 col4\">population\n",
       "                \n",
       "                <th class=\"col_heading level0 col5\">price\n",
       "                \n",
       "                <th class=\"col_heading level0 col6\">rprice\n",
       "                \n",
       "                <th class=\"col_heading level0 col7\">sales_tax\n",
       "                \n",
       "                <th class=\"col_heading level0 col8\">tax\n",
       "                \n",
       "                <th class=\"col_heading level0 col9\">taxs\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row0\">\n",
       "                    cpi\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col0\" class=\"data row0 col0\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col1\" class=\"data row0 col1\">\n",
       "                    0.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col2\" class=\"data row0 col2\">\n",
       "                    7.9e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col3\" class=\"data row0 col3\">\n",
       "                    3.5e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col4\" class=\"data row0 col4\">\n",
       "                    0.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col5\" class=\"data row0 col5\">\n",
       "                    1.1e-15\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col6\" class=\"data row0 col6\">\n",
       "                    6.5e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col7\" class=\"data row0 col7\">\n",
       "                    3.5e-17\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col8\" class=\"data row0 col8\">\n",
       "                    2.4e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow0_col9\" class=\"data row0 col9\">\n",
       "                    6e-16\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row1\">\n",
       "                    income\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col0\" class=\"data row1 col0\">\n",
       "                    0.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col1\" class=\"data row1 col1\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col2\" class=\"data row1 col2\">\n",
       "                    0.47\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col3\" class=\"data row1 col3\">\n",
       "                    -0.12\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col4\" class=\"data row1 col4\">\n",
       "                    0.99\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col5\" class=\"data row1 col5\">\n",
       "                    0.2\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col6\" class=\"data row1 col6\">\n",
       "                    0.2\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col7\" class=\"data row1 col7\">\n",
       "                    0.12\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col8\" class=\"data row1 col8\">\n",
       "                    0.05\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow1_col9\" class=\"data row1 col9\">\n",
       "                    0.098\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row2\">\n",
       "                    income_pop\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col0\" class=\"data row2 col0\">\n",
       "                    7.9e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col1\" class=\"data row2 col1\">\n",
       "                    0.47\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col2\" class=\"data row2 col2\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col3\" class=\"data row2 col3\">\n",
       "                    0.052\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col4\" class=\"data row2 col4\">\n",
       "                    0.41\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col5\" class=\"data row2 col5\">\n",
       "                    0.32\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col6\" class=\"data row2 col6\">\n",
       "                    0.32\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col7\" class=\"data row2 col7\">\n",
       "                    -0.068\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col8\" class=\"data row2 col8\">\n",
       "                    0.36\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow2_col9\" class=\"data row2 col9\">\n",
       "                    0.3\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row3\">\n",
       "                    packs\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col0\" class=\"data row3 col0\">\n",
       "                    3.5e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col1\" class=\"data row3 col1\">\n",
       "                    -0.12\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col2\" class=\"data row3 col2\">\n",
       "                    0.052\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col3\" class=\"data row3 col3\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col4\" class=\"data row3 col4\">\n",
       "                    -0.1\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col5\" class=\"data row3 col5\">\n",
       "                    -0.49\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col6\" class=\"data row3 col6\">\n",
       "                    -0.49\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col7\" class=\"data row3 col7\">\n",
       "                    -0.29\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col8\" class=\"data row3 col8\">\n",
       "                    -0.28\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow3_col9\" class=\"data row3 col9\">\n",
       "                    -0.37\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row4\">\n",
       "                    population\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col0\" class=\"data row4 col0\">\n",
       "                    0.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col1\" class=\"data row4 col1\">\n",
       "                    0.99\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col2\" class=\"data row4 col2\">\n",
       "                    0.41\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col3\" class=\"data row4 col3\">\n",
       "                    -0.1\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col4\" class=\"data row4 col4\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col5\" class=\"data row4 col5\">\n",
       "                    0.17\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col6\" class=\"data row4 col6\">\n",
       "                    0.17\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col7\" class=\"data row4 col7\">\n",
       "                    0.15\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col8\" class=\"data row4 col8\">\n",
       "                    0.022\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow4_col9\" class=\"data row4 col9\">\n",
       "                    0.081\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row5\">\n",
       "                    price\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col0\" class=\"data row5 col0\">\n",
       "                    1.1e-15\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col1\" class=\"data row5 col1\">\n",
       "                    0.2\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col2\" class=\"data row5 col2\">\n",
       "                    0.32\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col3\" class=\"data row5 col3\">\n",
       "                    -0.49\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col4\" class=\"data row5 col4\">\n",
       "                    0.17\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col5\" class=\"data row5 col5\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col6\" class=\"data row5 col6\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col7\" class=\"data row5 col7\">\n",
       "                    0.55\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col8\" class=\"data row5 col8\">\n",
       "                    0.7\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow5_col9\" class=\"data row5 col9\">\n",
       "                    0.88\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row6\">\n",
       "                    rprice\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col0\" class=\"data row6 col0\">\n",
       "                    6.5e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col1\" class=\"data row6 col1\">\n",
       "                    0.2\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col2\" class=\"data row6 col2\">\n",
       "                    0.32\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col3\" class=\"data row6 col3\">\n",
       "                    -0.49\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col4\" class=\"data row6 col4\">\n",
       "                    0.17\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col5\" class=\"data row6 col5\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col6\" class=\"data row6 col6\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col7\" class=\"data row6 col7\">\n",
       "                    0.55\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col8\" class=\"data row6 col8\">\n",
       "                    0.7\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow6_col9\" class=\"data row6 col9\">\n",
       "                    0.88\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row7\">\n",
       "                    sales_tax\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col0\" class=\"data row7 col0\">\n",
       "                    3.5e-17\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col1\" class=\"data row7 col1\">\n",
       "                    0.12\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col2\" class=\"data row7 col2\">\n",
       "                    -0.068\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col3\" class=\"data row7 col3\">\n",
       "                    -0.29\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col4\" class=\"data row7 col4\">\n",
       "                    0.15\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col5\" class=\"data row7 col5\">\n",
       "                    0.55\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col6\" class=\"data row7 col6\">\n",
       "                    0.55\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col7\" class=\"data row7 col7\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col8\" class=\"data row7 col8\">\n",
       "                    -0.017\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow7_col9\" class=\"data row7 col9\">\n",
       "                    0.41\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row8\">\n",
       "                    tax\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col0\" class=\"data row8 col0\">\n",
       "                    2.4e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col1\" class=\"data row8 col1\">\n",
       "                    0.05\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col2\" class=\"data row8 col2\">\n",
       "                    0.36\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col3\" class=\"data row8 col3\">\n",
       "                    -0.28\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col4\" class=\"data row8 col4\">\n",
       "                    0.022\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col5\" class=\"data row8 col5\">\n",
       "                    0.7\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col6\" class=\"data row8 col6\">\n",
       "                    0.7\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col7\" class=\"data row8 col7\">\n",
       "                    -0.017\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col8\" class=\"data row8 col8\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow8_col9\" class=\"data row8 col9\">\n",
       "                    0.91\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dea\" class=\"row_heading level9 row9\">\n",
       "                    taxs\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col0\" class=\"data row9 col0\">\n",
       "                    6e-16\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col1\" class=\"data row9 col1\">\n",
       "                    0.098\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col2\" class=\"data row9 col2\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col3\" class=\"data row9 col3\">\n",
       "                    -0.37\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col4\" class=\"data row9 col4\">\n",
       "                    0.081\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col5\" class=\"data row9 col5\">\n",
       "                    0.88\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col6\" class=\"data row9 col6\">\n",
       "                    0.88\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col7\" class=\"data row9 col7\">\n",
       "                    0.41\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col8\" class=\"data row9 col8\">\n",
       "                    0.91\n",
       "                \n",
       "                <td id=\"T_7af0904a_111f_11e9_a3bb_a4d18cd91dearow9_col9\" class=\"data row9 col9\">\n",
       "                    1.0\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.formats.style.Styler at 0x1c292f9940>"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Корелляционная матрица для 1985 года\n",
    "dat.ix[dat.year == 1985, dat.columns.difference(['state', 'year', 'year_1995'])].corr(method='pearson').style.format(\"{:.2}\").background_gradient(cmap=plt.get_cmap('coolwarm'), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
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       "                background-color:  #efcfbf;\n",
       "            \n",
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       "            \n",
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       "            \n",
       "            }\n",
       "        \n",
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       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col4 {\n",
       "            \n",
       "                background-color:  #7a9df8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col5 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col6 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col7 {\n",
       "            \n",
       "                background-color:  #6a8bef;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col8 {\n",
       "            \n",
       "                background-color:  #4257c9;\n",
       "            \n",
       "            }\n",
       "        \n",
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       "            \n",
       "                background-color:  #4257c9;\n",
       "            \n",
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       "            }\n",
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       "            \n",
       "                background-color:  #d8dce2;\n",
       "            \n",
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       "                background-color:  #3b4cc0;\n",
       "            \n",
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       "            \n",
       "                background-color:  #d3dbe7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col6 {\n",
       "            \n",
       "                background-color:  #d3dbe7;\n",
       "            \n",
       "            }\n",
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       "                background-color:  #c9d7f0;\n",
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       "            }\n",
       "        \n",
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       "            \n",
       "                background-color:  #cfdaea;\n",
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       "            \n",
       "                background-color:  #bbd1f8;\n",
       "            \n",
       "            }\n",
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       "            \n",
       "                background-color:  #f2cbb7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col2 {\n",
       "            \n",
       "                background-color:  #f7a889;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col4 {\n",
       "            \n",
       "                background-color:  #edd2c3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col5 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
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       "            }\n",
       "        \n",
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       "            \n",
       "                background-color:  #ec8165;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col8 {\n",
       "            \n",
       "                background-color:  #c0282f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col9 {\n",
       "            \n",
       "                background-color:  #bb1b2c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col0 {\n",
       "            \n",
       "                background-color:  #bbd1f8;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col1 {\n",
       "            \n",
       "                background-color:  #f2cbb7;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col2 {\n",
       "            \n",
       "                background-color:  #f7a889;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col4 {\n",
       "            \n",
       "                background-color:  #edd2c3;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col5 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col6 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col7 {\n",
       "            \n",
       "                background-color:  #ec8165;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col8 {\n",
       "            \n",
       "                background-color:  #c0282f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col9 {\n",
       "            \n",
       "                background-color:  #bb1b2c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col0 {\n",
       "            \n",
       "                background-color:  #97b8ff;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col1 {\n",
       "            \n",
       "                background-color:  #dbdcde;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col2 {\n",
       "            \n",
       "                background-color:  #c5d6f2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col4 {\n",
       "            \n",
       "                background-color:  #dadce0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col5 {\n",
       "            \n",
       "                background-color:  #f29072;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col6 {\n",
       "            \n",
       "                background-color:  #f29072;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col7 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col8 {\n",
       "            \n",
       "                background-color:  #f7b396;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col9 {\n",
       "            \n",
       "                background-color:  #ef886b;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col0 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col1 {\n",
       "            \n",
       "                background-color:  #ebd3c6;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col2 {\n",
       "            \n",
       "                background-color:  #f7b497;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col4 {\n",
       "            \n",
       "                background-color:  #e4d9d2;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col5 {\n",
       "            \n",
       "                background-color:  #c0282f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col6 {\n",
       "            \n",
       "                background-color:  #c0282f;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col7 {\n",
       "            \n",
       "                background-color:  #f6a385;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col8 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col9 {\n",
       "            \n",
       "                background-color:  #b8122a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col0 {\n",
       "            \n",
       "                background-color:  #b6cefa;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col1 {\n",
       "            \n",
       "                background-color:  #eed0c0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col2 {\n",
       "            \n",
       "                background-color:  #f7b99e;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col3 {\n",
       "            \n",
       "                background-color:  #3b4cc0;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col4 {\n",
       "            \n",
       "                background-color:  #e9d5cb;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col5 {\n",
       "            \n",
       "                background-color:  #bb1b2c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col6 {\n",
       "            \n",
       "                background-color:  #bb1b2c;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col7 {\n",
       "            \n",
       "                background-color:  #ea7b60;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col8 {\n",
       "            \n",
       "                background-color:  #b8122a;\n",
       "            \n",
       "            }\n",
       "        \n",
       "            #T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col9 {\n",
       "            \n",
       "                background-color:  #b40426;\n",
       "            \n",
       "            }\n",
       "        \n",
       "        </style>\n",
       "\n",
       "        <table id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" None>\n",
       "        \n",
       "\n",
       "        <thead>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th class=\"blank\">\n",
       "                \n",
       "                <th class=\"col_heading level0 col0\">cpi\n",
       "                \n",
       "                <th class=\"col_heading level0 col1\">income\n",
       "                \n",
       "                <th class=\"col_heading level0 col2\">income_pop\n",
       "                \n",
       "                <th class=\"col_heading level0 col3\">packs\n",
       "                \n",
       "                <th class=\"col_heading level0 col4\">population\n",
       "                \n",
       "                <th class=\"col_heading level0 col5\">price\n",
       "                \n",
       "                <th class=\"col_heading level0 col6\">rprice\n",
       "                \n",
       "                <th class=\"col_heading level0 col7\">sales_tax\n",
       "                \n",
       "                <th class=\"col_heading level0 col8\">tax\n",
       "                \n",
       "                <th class=\"col_heading level0 col9\">taxs\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </thead>\n",
       "        <tbody>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row0\">\n",
       "                    cpi\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col0\" class=\"data row0 col0\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col1\" class=\"data row0 col1\">\n",
       "                    7.4e-17\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col2\" class=\"data row0 col2\">\n",
       "                    5.9e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col3\" class=\"data row0 col3\">\n",
       "                    -6e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col4\" class=\"data row0 col4\">\n",
       "                    0.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col5\" class=\"data row0 col5\">\n",
       "                    5e-17\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col6\" class=\"data row0 col6\">\n",
       "                    -1.2e-15\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col7\" class=\"data row0 col7\">\n",
       "                    2.2e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col8\" class=\"data row0 col8\">\n",
       "                    -3.8e-17\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow0_col9\" class=\"data row0 col9\">\n",
       "                    5.4e-16\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row1\">\n",
       "                    income\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col0\" class=\"data row1 col0\">\n",
       "                    7.4e-17\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col1\" class=\"data row1 col1\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col2\" class=\"data row1 col2\">\n",
       "                    0.4\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col3\" class=\"data row1 col3\">\n",
       "                    -0.33\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col4\" class=\"data row1 col4\">\n",
       "                    0.99\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col5\" class=\"data row1 col5\">\n",
       "                    0.35\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col6\" class=\"data row1 col6\">\n",
       "                    0.35\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col7\" class=\"data row1 col7\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col8\" class=\"data row1 col8\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow1_col9\" class=\"data row1 col9\">\n",
       "                    0.33\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row2\">\n",
       "                    income_pop\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col0\" class=\"data row2 col0\">\n",
       "                    5.9e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col1\" class=\"data row2 col1\">\n",
       "                    0.4\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col2\" class=\"data row2 col2\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col3\" class=\"data row2 col3\">\n",
       "                    -0.22\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col4\" class=\"data row2 col4\">\n",
       "                    0.32\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col5\" class=\"data row2 col5\">\n",
       "                    0.53\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col6\" class=\"data row2 col6\">\n",
       "                    0.53\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col7\" class=\"data row2 col7\">\n",
       "                    0.19\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col8\" class=\"data row2 col8\">\n",
       "                    0.49\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow2_col9\" class=\"data row2 col9\">\n",
       "                    0.46\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row3\">\n",
       "                    packs\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col0\" class=\"data row3 col0\">\n",
       "                    -6e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col1\" class=\"data row3 col1\">\n",
       "                    -0.33\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col2\" class=\"data row3 col2\">\n",
       "                    -0.22\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col3\" class=\"data row3 col3\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col4\" class=\"data row3 col4\">\n",
       "                    -0.31\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col5\" class=\"data row3 col5\">\n",
       "                    -0.63\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col6\" class=\"data row3 col6\">\n",
       "                    -0.63\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col7\" class=\"data row3 col7\">\n",
       "                    -0.38\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col8\" class=\"data row3 col8\">\n",
       "                    -0.59\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow3_col9\" class=\"data row3 col9\">\n",
       "                    -0.59\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row4\">\n",
       "                    population\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col0\" class=\"data row4 col0\">\n",
       "                    0.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col1\" class=\"data row4 col1\">\n",
       "                    0.99\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col2\" class=\"data row4 col2\">\n",
       "                    0.32\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col3\" class=\"data row4 col3\">\n",
       "                    -0.31\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col4\" class=\"data row4 col4\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col5\" class=\"data row4 col5\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col6\" class=\"data row4 col6\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col7\" class=\"data row4 col7\">\n",
       "                    0.29\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col8\" class=\"data row4 col8\">\n",
       "                    0.25\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow4_col9\" class=\"data row4 col9\">\n",
       "                    0.28\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row5\">\n",
       "                    price\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col0\" class=\"data row5 col0\">\n",
       "                    5e-17\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col1\" class=\"data row5 col1\">\n",
       "                    0.35\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col2\" class=\"data row5 col2\">\n",
       "                    0.53\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col3\" class=\"data row5 col3\">\n",
       "                    -0.63\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col4\" class=\"data row5 col4\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col5\" class=\"data row5 col5\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col6\" class=\"data row5 col6\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col7\" class=\"data row5 col7\">\n",
       "                    0.69\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col8\" class=\"data row5 col8\">\n",
       "                    0.95\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow5_col9\" class=\"data row5 col9\">\n",
       "                    0.96\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row6\">\n",
       "                    rprice\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col0\" class=\"data row6 col0\">\n",
       "                    -1.2e-15\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col1\" class=\"data row6 col1\">\n",
       "                    0.35\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col2\" class=\"data row6 col2\">\n",
       "                    0.53\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col3\" class=\"data row6 col3\">\n",
       "                    -0.63\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col4\" class=\"data row6 col4\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col5\" class=\"data row6 col5\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col6\" class=\"data row6 col6\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col7\" class=\"data row6 col7\">\n",
       "                    0.69\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col8\" class=\"data row6 col8\">\n",
       "                    0.95\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow6_col9\" class=\"data row6 col9\">\n",
       "                    0.96\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row7\">\n",
       "                    sales_tax\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col0\" class=\"data row7 col0\">\n",
       "                    2.2e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col1\" class=\"data row7 col1\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col2\" class=\"data row7 col2\">\n",
       "                    0.19\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col3\" class=\"data row7 col3\">\n",
       "                    -0.38\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col4\" class=\"data row7 col4\">\n",
       "                    0.29\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col5\" class=\"data row7 col5\">\n",
       "                    0.69\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col6\" class=\"data row7 col6\">\n",
       "                    0.69\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col7\" class=\"data row7 col7\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col8\" class=\"data row7 col8\">\n",
       "                    0.56\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow7_col9\" class=\"data row7 col9\">\n",
       "                    0.71\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row8\">\n",
       "                    tax\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col0\" class=\"data row8 col0\">\n",
       "                    -3.8e-17\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col1\" class=\"data row8 col1\">\n",
       "                    0.3\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col2\" class=\"data row8 col2\">\n",
       "                    0.49\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col3\" class=\"data row8 col3\">\n",
       "                    -0.59\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col4\" class=\"data row8 col4\">\n",
       "                    0.25\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col5\" class=\"data row8 col5\">\n",
       "                    0.95\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col6\" class=\"data row8 col6\">\n",
       "                    0.95\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col7\" class=\"data row8 col7\">\n",
       "                    0.56\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col8\" class=\"data row8 col8\">\n",
       "                    1.0\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow8_col9\" class=\"data row8 col9\">\n",
       "                    0.98\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "                \n",
       "                <th id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dea\" class=\"row_heading level9 row9\">\n",
       "                    taxs\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col0\" class=\"data row9 col0\">\n",
       "                    5.4e-16\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col1\" class=\"data row9 col1\">\n",
       "                    0.33\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col2\" class=\"data row9 col2\">\n",
       "                    0.46\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col3\" class=\"data row9 col3\">\n",
       "                    -0.59\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col4\" class=\"data row9 col4\">\n",
       "                    0.28\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col5\" class=\"data row9 col5\">\n",
       "                    0.96\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col6\" class=\"data row9 col6\">\n",
       "                    0.96\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col7\" class=\"data row9 col7\">\n",
       "                    0.71\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col8\" class=\"data row9 col8\">\n",
       "                    0.98\n",
       "                \n",
       "                <td id=\"T_7c26bcb4_111f_11e9_b004_a4d18cd91dearow9_col9\" class=\"data row9 col9\">\n",
       "                    1.0\n",
       "                \n",
       "            </tr>\n",
       "            \n",
       "        </tbody>\n",
       "        </table>\n",
       "        "
      ],
      "text/plain": [
       "<pandas.formats.style.Styler at 0x1c28e7d0f0>"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Корелляционная матрица для 1995 года\n",
    "dat.ix[dat.year == 1995, dat.columns.difference(['state', 'year', 'year_1995'])].corr(method='pearson').style.format(\"{:.2}\").background_gradient(cmap=plt.get_cmap('coolwarm'), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          np.log(packs)   R-squared:                       0.406\n",
      "Model:                            OLS   Adj. R-squared:                  0.393\n",
      "Method:                 Least Squares   F-statistic:                     31.41\n",
      "Date:                Sat, 05 Jan 2019   Prob (F-statistic):           1.13e-06\n",
      "Time:                        22:24:15   Log-Likelihood:                 12.724\n",
      "No. Observations:                  48   AIC:                            -21.45\n",
      "Df Residuals:                      46   BIC:                            -17.71\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "Intercept        10.8500      1.126      9.632      0.000       8.583      13.117\n",
      "np.log(price)    -1.2131      0.216     -5.604      0.000      -1.649      -0.777\n",
      "==============================================================================\n",
      "Omnibus:                       11.094   Durbin-Watson:                   1.985\n",
      "Prob(Omnibus):                  0.004   Jarque-Bera (JB):               12.802\n",
      "Skew:                          -0.823   Prob(JB):                      0.00166\n",
      "Kurtosis:                       4.921   Cond. No.                         222.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Регрессия для 1995 года\n",
    "results = smf.ols('np.log(packs) ~ np.log(price)', data=dat.ix[dat.year_1995 == 1]).fit()\n",
    "print(results.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          np.log(packs)   R-squared:                       0.245\n",
      "Model:                            OLS   Adj. R-squared:                  0.228\n",
      "Method:                 Least Squares   F-statistic:                     14.89\n",
      "Date:                Sat, 05 Jan 2019   Prob (F-statistic):           0.000353\n",
      "Time:                        22:24:17   Log-Likelihood:                 24.526\n",
      "No. Observations:                  48   AIC:                            -45.05\n",
      "Df Residuals:                      46   BIC:                            -41.31\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=================================================================================\n",
      "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------\n",
      "Intercept         9.3573      1.184      7.905      0.000       6.975      11.740\n",
      "np.log(price)    -0.9848      0.255     -3.859      0.000      -1.499      -0.471\n",
      "==============================================================================\n",
      "Omnibus:                        9.307   Durbin-Watson:                   2.104\n",
      "Prob(Omnibus):                  0.010   Jarque-Bera (JB):               16.509\n",
      "Skew:                          -0.396   Prob(JB):                     0.000260\n",
      "Kurtosis:                       5.762   Cond. No.                         268.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Регрессия для 1985 года\n",
    "results = smf.ols('np.log(packs) ~ np.log(price)', data=dat.ix[dat.year_1995 == 0]).fit()\n",
    "print(results.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:6: FutureWarning: in the future, boolean array-likes will be handled as a boolean array index\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.log(dat.price[dat.year_1995 == 1]), 10.85 - 1.2131*np.log(dat.price[dat.year_1995 == 1]), color='red', linewidth=3, label='1995, $log(packs_{i}) = 10.85 - 1.21 \\cdot log(price_{i})$')\n",
    "plt.plot(np.log(dat.price[dat.year_1995 == 0]), 9.3573 - 0.9848*np.log(dat.price[dat.year_1995 == 0]), color='blue', linewidth=3, label='1985, $log(packs_{i}) = 9.36 - 0.98 \\cdot log(price_{i})$')\n",
    "plt.xlabel(u'Log Price', fontsize=15)\n",
    "plt.ylabel(u'Log Packs', fontsize=15)\n",
    "plt.legend(fontsize=12)\n",
    "plt.scatter(np.log(dat.price), np.log(dat.packs), color=np.array(['red', 'blue'])[dat.year == 1985]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                          IV-2SLS Estimation Summary                          \n",
      "==============================================================================\n",
      "Dep. Variable:          np.log(packs)   R-squared:                      0.5251\n",
      "Estimator:                    IV-2SLS   Adj. R-squared:                 0.5200\n",
      "No. Observations:                  96   F-statistic:                    50.699\n",
      "Date:                Sat, Jan 05 2019   P-value (F-stat)                0.0000\n",
      "Time:                        22:25:37   Distribution:                  chi2(1)\n",
      "Cov. Estimator:                robust                                         \n",
      "                                                                              \n",
      "                               Parameter Estimates                                \n",
      "==================================================================================\n",
      "                Parameter  Std. Err.     T-stat    P-value    Lower CI    Upper CI\n",
      "----------------------------------------------------------------------------------\n",
      "Intercept          9.9552     0.7419     13.419     0.0000      8.5012      11.409\n",
      "np.log(rprice)    -1.1322     0.1590    -7.1203     0.0000     -1.4439     -0.8206\n",
      "==================================================================================\n",
      "\n",
      "Endogenous: np.log(rprice)\n",
      "Instruments: sales_tax\n",
      "Robust Covariance (Heteroskedastic)\n",
      "Debiased: False\n"
     ]
    }
   ],
   "source": [
    "# Регрессия по методу иструментальных переменных для 1995 года\n",
    "# Эндогенный регрессор - log(rprice), инструмент - sales_tax\n",
    "results = IV2SLS.from_formula('np.log(packs) ~ 1 + [np.log(rprice) ~ sales_tax]', data=dat).fit()\n",
    "print(results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      First Stage Estimation Results     \n",
      "=========================================\n",
      "                           np.log(rprice)\n",
      "-----------------------------------------\n",
      "R-squared                          0.4892\n",
      "Partial R-squared                  0.4892\n",
      "Shea's R-squared                   0.4892\n",
      "Partial F-statistic                92.345\n",
      "P-value (Partial F-stat)           0.0000\n",
      "Partial F-stat Distn              chi2(1)\n",
      "==========================     ==========\n",
      "Intercept                          4.5218\n",
      "                                 (236.61)\n",
      "sales_tax                          0.0366\n",
      "                                 (9.6096)\n",
      "-----------------------------------------\n",
      "\n",
      "T-stats reported in parentheses\n",
      "T-stats use same covariance type as original model\n"
     ]
    }
   ],
   "source": [
    "print(results.first_stage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wu-Hausman test of exogeneity\n",
      "H0: All endogenous variables are exogenous\n",
      "Statistic: 0.0252\n",
      "P-value: 0.8741\n",
      "Distributed: F(1,93)\n"
     ]
    }
   ],
   "source": [
    "# Тест Хаусмана говорит о том, что можно было и обычную OLS модель построить\n",
    "print(results.wu_hausman())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Итоговая модель спроса на сигареты:\n",
    "    \n",
    "$\\log(\\hat{packs_{i}}) = 9.96 - 1.13 \\cdot \\log(\\hat{rprice_{i}}), \\quad R^2 = 0.53$\n",
    "\n",
    "           (0.74)(0.16)\n",
    "           \n",
    "$\\log(\\hat{price_{i}}) = 4.52 + 0.037 \\cdot sales\\_tax_{i}, \\quad R^2 = 0.49$\n",
    "\n",
    "          (236.61)(9.61)"
   ]
  }
 ],
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