traffic_rf_20171121.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dui_tax_short = pd.DataFrame.from_csv('dui_tax_short.csv', index_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ACC_MIL</th>\n",
       "      <th>ACH_MIL</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>STATE_SHORT</th>\n",
       "      <th>POP_MIL</th>\n",
       "      <th>SUSPEND</th>\n",
       "      <th>INTERLOCK_1ST</th>\n",
       "      <th>INTERLOCK_REPEAT</th>\n",
       "      <th>GALLONS_ALCOHOL_PER_CAP_21</th>\n",
       "      <th>BEER_TAX</th>\n",
       "      <th>PERCENT_POVERTY</th>\n",
       "      <th>MEDIAN_INCOME</th>\n",
       "      <th>PERCENT_UNINSURE</th>\n",
       "      <th>LESS_HS_P</th>\n",
       "      <th>HS_P</th>\n",
       "      <th>SOME_C_P</th>\n",
       "      <th>BACHELORS_P</th>\n",
       "      <th>GRAD_PROF_P</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>806.136433</td>\n",
       "      <td>48.569874</td>\n",
       "      <td>2011</td>\n",
       "      <td>AL</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22331</td>\n",
       "      <td>1.05</td>\n",
       "      <td>19.1</td>\n",
       "      <td>41427</td>\n",
       "      <td>16.6</td>\n",
       "      <td>0.180897</td>\n",
       "      <td>0.314334</td>\n",
       "      <td>0.285068</td>\n",
       "      <td>0.139643</td>\n",
       "      <td>0.080058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>806.136433</td>\n",
       "      <td>46.100220</td>\n",
       "      <td>2012</td>\n",
       "      <td>AL</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22656</td>\n",
       "      <td>1.05</td>\n",
       "      <td>19.0</td>\n",
       "      <td>41610</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.174023</td>\n",
       "      <td>0.313100</td>\n",
       "      <td>0.290229</td>\n",
       "      <td>0.141521</td>\n",
       "      <td>0.081127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>806.136433</td>\n",
       "      <td>44.042174</td>\n",
       "      <td>2013</td>\n",
       "      <td>AL</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22491</td>\n",
       "      <td>1.05</td>\n",
       "      <td>18.9</td>\n",
       "      <td>42882</td>\n",
       "      <td>15.9</td>\n",
       "      <td>0.168852</td>\n",
       "      <td>0.310562</td>\n",
       "      <td>0.294274</td>\n",
       "      <td>0.143547</td>\n",
       "      <td>0.082766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>806.136433</td>\n",
       "      <td>47.952461</td>\n",
       "      <td>2014</td>\n",
       "      <td>AL</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22481</td>\n",
       "      <td>1.05</td>\n",
       "      <td>19.2</td>\n",
       "      <td>42917</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.162953</td>\n",
       "      <td>0.310687</td>\n",
       "      <td>0.295833</td>\n",
       "      <td>0.144587</td>\n",
       "      <td>0.085940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>398.140926</td>\n",
       "      <td>24.375975</td>\n",
       "      <td>2011</td>\n",
       "      <td>AK</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>32713</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.8</td>\n",
       "      <td>65699</td>\n",
       "      <td>21.7</td>\n",
       "      <td>0.086375</td>\n",
       "      <td>0.272442</td>\n",
       "      <td>0.369075</td>\n",
       "      <td>0.176662</td>\n",
       "      <td>0.095446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>398.140926</td>\n",
       "      <td>20.313313</td>\n",
       "      <td>2012</td>\n",
       "      <td>AK</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>32236</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.8</td>\n",
       "      <td>66503</td>\n",
       "      <td>22.3</td>\n",
       "      <td>0.084130</td>\n",
       "      <td>0.270973</td>\n",
       "      <td>0.370134</td>\n",
       "      <td>0.177505</td>\n",
       "      <td>0.097258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>398.140926</td>\n",
       "      <td>20.313313</td>\n",
       "      <td>2013</td>\n",
       "      <td>AK</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>31277</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.1</td>\n",
       "      <td>70058</td>\n",
       "      <td>20.8</td>\n",
       "      <td>0.083634</td>\n",
       "      <td>0.273077</td>\n",
       "      <td>0.368287</td>\n",
       "      <td>0.177079</td>\n",
       "      <td>0.097924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>398.140926</td>\n",
       "      <td>35.209742</td>\n",
       "      <td>2014</td>\n",
       "      <td>AK</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>31696</td>\n",
       "      <td>1.07</td>\n",
       "      <td>11.4</td>\n",
       "      <td>70898</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.081900</td>\n",
       "      <td>0.275051</td>\n",
       "      <td>0.366203</td>\n",
       "      <td>0.178704</td>\n",
       "      <td>0.098143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>555.501449</td>\n",
       "      <td>28.265695</td>\n",
       "      <td>2011</td>\n",
       "      <td>AZ</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>27228</td>\n",
       "      <td>0.16</td>\n",
       "      <td>19.0</td>\n",
       "      <td>46710</td>\n",
       "      <td>19.6</td>\n",
       "      <td>0.148176</td>\n",
       "      <td>0.247291</td>\n",
       "      <td>0.340564</td>\n",
       "      <td>0.168360</td>\n",
       "      <td>0.095609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>555.501449</td>\n",
       "      <td>28.705058</td>\n",
       "      <td>2012</td>\n",
       "      <td>AZ</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>27627</td>\n",
       "      <td>0.16</td>\n",
       "      <td>18.7</td>\n",
       "      <td>47796</td>\n",
       "      <td>20.4</td>\n",
       "      <td>0.145577</td>\n",
       "      <td>0.243979</td>\n",
       "      <td>0.344151</td>\n",
       "      <td>0.169160</td>\n",
       "      <td>0.097133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>555.501449</td>\n",
       "      <td>29.583784</td>\n",
       "      <td>2013</td>\n",
       "      <td>AZ</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26677</td>\n",
       "      <td>0.16</td>\n",
       "      <td>18.6</td>\n",
       "      <td>48504</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.143056</td>\n",
       "      <td>0.245064</td>\n",
       "      <td>0.343135</td>\n",
       "      <td>0.170197</td>\n",
       "      <td>0.098547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>555.501449</td>\n",
       "      <td>25.190153</td>\n",
       "      <td>2014</td>\n",
       "      <td>AZ</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26819</td>\n",
       "      <td>0.16</td>\n",
       "      <td>18.2</td>\n",
       "      <td>50036</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.141056</td>\n",
       "      <td>0.245072</td>\n",
       "      <td>0.342895</td>\n",
       "      <td>0.171268</td>\n",
       "      <td>0.099709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>799.475120</td>\n",
       "      <td>54.059426</td>\n",
       "      <td>2011</td>\n",
       "      <td>AR</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>19519</td>\n",
       "      <td>0.24</td>\n",
       "      <td>19.3</td>\n",
       "      <td>38889</td>\n",
       "      <td>20.1</td>\n",
       "      <td>0.173465</td>\n",
       "      <td>0.352003</td>\n",
       "      <td>0.278698</td>\n",
       "      <td>0.130271</td>\n",
       "      <td>0.065563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>799.475120</td>\n",
       "      <td>51.373244</td>\n",
       "      <td>2012</td>\n",
       "      <td>AR</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>20435</td>\n",
       "      <td>0.24</td>\n",
       "      <td>19.6</td>\n",
       "      <td>40151</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.166937</td>\n",
       "      <td>0.351238</td>\n",
       "      <td>0.283841</td>\n",
       "      <td>0.131480</td>\n",
       "      <td>0.066503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>799.475120</td>\n",
       "      <td>40.292740</td>\n",
       "      <td>2013</td>\n",
       "      <td>AR</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>20398</td>\n",
       "      <td>0.24</td>\n",
       "      <td>19.4</td>\n",
       "      <td>40605</td>\n",
       "      <td>18.8</td>\n",
       "      <td>0.162692</td>\n",
       "      <td>0.350798</td>\n",
       "      <td>0.285475</td>\n",
       "      <td>0.132791</td>\n",
       "      <td>0.068245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>799.475120</td>\n",
       "      <td>38.613876</td>\n",
       "      <td>2014</td>\n",
       "      <td>AR</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>20203</td>\n",
       "      <td>0.24</td>\n",
       "      <td>18.7</td>\n",
       "      <td>41335</td>\n",
       "      <td>13.8</td>\n",
       "      <td>0.157028</td>\n",
       "      <td>0.349982</td>\n",
       "      <td>0.286530</td>\n",
       "      <td>0.135028</td>\n",
       "      <td>0.071433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>357.493040</td>\n",
       "      <td>19.057439</td>\n",
       "      <td>2011</td>\n",
       "      <td>CA</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>25718</td>\n",
       "      <td>0.20</td>\n",
       "      <td>16.6</td>\n",
       "      <td>57275</td>\n",
       "      <td>20.2</td>\n",
       "      <td>0.191818</td>\n",
       "      <td>0.211169</td>\n",
       "      <td>0.294672</td>\n",
       "      <td>0.192582</td>\n",
       "      <td>0.109759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>357.493040</td>\n",
       "      <td>20.283655</td>\n",
       "      <td>2012</td>\n",
       "      <td>CA</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26742</td>\n",
       "      <td>0.20</td>\n",
       "      <td>17.0</td>\n",
       "      <td>58322</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.189801</td>\n",
       "      <td>0.206846</td>\n",
       "      <td>0.298819</td>\n",
       "      <td>0.193536</td>\n",
       "      <td>0.110998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>357.493040</td>\n",
       "      <td>20.462479</td>\n",
       "      <td>2013</td>\n",
       "      <td>CA</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26373</td>\n",
       "      <td>0.20</td>\n",
       "      <td>16.8</td>\n",
       "      <td>60185</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.187580</td>\n",
       "      <td>0.207157</td>\n",
       "      <td>0.298534</td>\n",
       "      <td>0.194375</td>\n",
       "      <td>0.112353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>357.493040</td>\n",
       "      <td>20.743486</td>\n",
       "      <td>2014</td>\n",
       "      <td>CA</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26200</td>\n",
       "      <td>0.20</td>\n",
       "      <td>16.4</td>\n",
       "      <td>61927</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.185113</td>\n",
       "      <td>0.207242</td>\n",
       "      <td>0.297625</td>\n",
       "      <td>0.195872</td>\n",
       "      <td>0.114148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>408.681345</td>\n",
       "      <td>26.023655</td>\n",
       "      <td>2011</td>\n",
       "      <td>CO</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>30797</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.4</td>\n",
       "      <td>55530</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.103172</td>\n",
       "      <td>0.229340</td>\n",
       "      <td>0.304557</td>\n",
       "      <td>0.232747</td>\n",
       "      <td>0.130185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>408.681345</td>\n",
       "      <td>25.290594</td>\n",
       "      <td>2012</td>\n",
       "      <td>CO</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>31076</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.6</td>\n",
       "      <td>56880</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.100773</td>\n",
       "      <td>0.223595</td>\n",
       "      <td>0.308869</td>\n",
       "      <td>0.234469</td>\n",
       "      <td>0.132294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>408.681345</td>\n",
       "      <td>26.756716</td>\n",
       "      <td>2013</td>\n",
       "      <td>CO</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>31606</td>\n",
       "      <td>0.08</td>\n",
       "      <td>12.9</td>\n",
       "      <td>58942</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.098276</td>\n",
       "      <td>0.221388</td>\n",
       "      <td>0.310048</td>\n",
       "      <td>0.235905</td>\n",
       "      <td>0.134382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>408.681345</td>\n",
       "      <td>28.039572</td>\n",
       "      <td>2014</td>\n",
       "      <td>CO</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>31067</td>\n",
       "      <td>0.08</td>\n",
       "      <td>12.1</td>\n",
       "      <td>61324</td>\n",
       "      <td>11.7</td>\n",
       "      <td>0.096208</td>\n",
       "      <td>0.219880</td>\n",
       "      <td>0.309300</td>\n",
       "      <td>0.237353</td>\n",
       "      <td>0.137259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>336.407227</td>\n",
       "      <td>20.329245</td>\n",
       "      <td>2011</td>\n",
       "      <td>CT</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26710</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.8</td>\n",
       "      <td>65822</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0.114309</td>\n",
       "      <td>0.281284</td>\n",
       "      <td>0.247303</td>\n",
       "      <td>0.201377</td>\n",
       "      <td>0.155727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>336.407227</td>\n",
       "      <td>22.557107</td>\n",
       "      <td>2012</td>\n",
       "      <td>CT</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>27104</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.6</td>\n",
       "      <td>67275</td>\n",
       "      <td>10.5</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.278551</td>\n",
       "      <td>0.249469</td>\n",
       "      <td>0.203261</td>\n",
       "      <td>0.158304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>336.407227</td>\n",
       "      <td>25.620418</td>\n",
       "      <td>2013</td>\n",
       "      <td>CT</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26925</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.7</td>\n",
       "      <td>67262</td>\n",
       "      <td>10.9</td>\n",
       "      <td>0.108196</td>\n",
       "      <td>0.277593</td>\n",
       "      <td>0.249642</td>\n",
       "      <td>0.203835</td>\n",
       "      <td>0.160734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>336.407227</td>\n",
       "      <td>20.607727</td>\n",
       "      <td>2014</td>\n",
       "      <td>CT</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26800</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.8</td>\n",
       "      <td>70007</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.104664</td>\n",
       "      <td>0.276060</td>\n",
       "      <td>0.249281</td>\n",
       "      <td>0.206331</td>\n",
       "      <td>0.163664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>557.121321</td>\n",
       "      <td>37.000467</td>\n",
       "      <td>2011</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.945934</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>40172</td>\n",
       "      <td>0.16</td>\n",
       "      <td>12.6</td>\n",
       "      <td>58159</td>\n",
       "      <td>11.2</td>\n",
       "      <td>0.126456</td>\n",
       "      <td>0.317028</td>\n",
       "      <td>0.276797</td>\n",
       "      <td>0.166855</td>\n",
       "      <td>0.112864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>557.121321</td>\n",
       "      <td>40.171936</td>\n",
       "      <td>2012</td>\n",
       "      <td>DE</td>\n",
       "      <td>0.945934</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>40456</td>\n",
       "      <td>0.16</td>\n",
       "      <td>12.7</td>\n",
       "      <td>58326</td>\n",
       "      <td>10.3</td>\n",
       "      <td>0.123231</td>\n",
       "      <td>0.316354</td>\n",
       "      <td>0.275192</td>\n",
       "      <td>0.170918</td>\n",
       "      <td>0.114305</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <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>122</th>\n",
       "      <td>407.547623</td>\n",
       "      <td>24.323792</td>\n",
       "      <td>2013</td>\n",
       "      <td>OR</td>\n",
       "      <td>4.028977</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>29684</td>\n",
       "      <td>0.08</td>\n",
       "      <td>16.5</td>\n",
       "      <td>50228</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.106105</td>\n",
       "      <td>0.245972</td>\n",
       "      <td>0.350890</td>\n",
       "      <td>0.187199</td>\n",
       "      <td>0.109834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>407.547623</td>\n",
       "      <td>24.323792</td>\n",
       "      <td>2014</td>\n",
       "      <td>OR</td>\n",
       "      <td>4.028977</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>30044</td>\n",
       "      <td>0.08</td>\n",
       "      <td>16.4</td>\n",
       "      <td>51088</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0.105186</td>\n",
       "      <td>0.245435</td>\n",
       "      <td>0.348683</td>\n",
       "      <td>0.188916</td>\n",
       "      <td>0.111780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>447.568729</td>\n",
       "      <td>29.994135</td>\n",
       "      <td>2011</td>\n",
       "      <td>PA</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>25977</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.7</td>\n",
       "      <td>50221</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.121028</td>\n",
       "      <td>0.375537</td>\n",
       "      <td>0.236739</td>\n",
       "      <td>0.164546</td>\n",
       "      <td>0.102150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>447.568729</td>\n",
       "      <td>30.775232</td>\n",
       "      <td>2012</td>\n",
       "      <td>PA</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26390</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.7</td>\n",
       "      <td>51225</td>\n",
       "      <td>11.7</td>\n",
       "      <td>0.117085</td>\n",
       "      <td>0.372147</td>\n",
       "      <td>0.240308</td>\n",
       "      <td>0.166197</td>\n",
       "      <td>0.104263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>447.568729</td>\n",
       "      <td>28.275721</td>\n",
       "      <td>2013</td>\n",
       "      <td>PA</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26238</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.7</td>\n",
       "      <td>52005</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0.113376</td>\n",
       "      <td>0.370489</td>\n",
       "      <td>0.240716</td>\n",
       "      <td>0.168503</td>\n",
       "      <td>0.106917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>447.568729</td>\n",
       "      <td>25.385661</td>\n",
       "      <td>2014</td>\n",
       "      <td>PA</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26305</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.6</td>\n",
       "      <td>53224</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.110304</td>\n",
       "      <td>0.367517</td>\n",
       "      <td>0.241189</td>\n",
       "      <td>0.171392</td>\n",
       "      <td>0.109598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>679.363162</td>\n",
       "      <td>34.998414</td>\n",
       "      <td>2011</td>\n",
       "      <td>TN</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>23006</td>\n",
       "      <td>1.29</td>\n",
       "      <td>18.4</td>\n",
       "      <td>41691</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.168184</td>\n",
       "      <td>0.332755</td>\n",
       "      <td>0.268751</td>\n",
       "      <td>0.148954</td>\n",
       "      <td>0.081356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>679.363162</td>\n",
       "      <td>41.210254</td>\n",
       "      <td>2012</td>\n",
       "      <td>TN</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22535</td>\n",
       "      <td>1.29</td>\n",
       "      <td>18.0</td>\n",
       "      <td>42743</td>\n",
       "      <td>16.2</td>\n",
       "      <td>0.161234</td>\n",
       "      <td>0.329632</td>\n",
       "      <td>0.274200</td>\n",
       "      <td>0.151694</td>\n",
       "      <td>0.083239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>679.363162</td>\n",
       "      <td>35.604448</td>\n",
       "      <td>2013</td>\n",
       "      <td>TN</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22440</td>\n",
       "      <td>1.29</td>\n",
       "      <td>17.8</td>\n",
       "      <td>44268</td>\n",
       "      <td>16.2</td>\n",
       "      <td>0.156058</td>\n",
       "      <td>0.330730</td>\n",
       "      <td>0.274774</td>\n",
       "      <td>0.153056</td>\n",
       "      <td>0.085382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>679.363162</td>\n",
       "      <td>35.604448</td>\n",
       "      <td>2014</td>\n",
       "      <td>TN</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>22627</td>\n",
       "      <td>1.29</td>\n",
       "      <td>18.2</td>\n",
       "      <td>44357</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.150539</td>\n",
       "      <td>0.330769</td>\n",
       "      <td>0.274813</td>\n",
       "      <td>0.156002</td>\n",
       "      <td>0.087877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>552.766281</td>\n",
       "      <td>31.926767</td>\n",
       "      <td>2011</td>\n",
       "      <td>TX</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26060</td>\n",
       "      <td>0.19</td>\n",
       "      <td>18.5</td>\n",
       "      <td>49390</td>\n",
       "      <td>25.7</td>\n",
       "      <td>0.195739</td>\n",
       "      <td>0.256603</td>\n",
       "      <td>0.287076</td>\n",
       "      <td>0.174431</td>\n",
       "      <td>0.086151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>552.766281</td>\n",
       "      <td>31.708340</td>\n",
       "      <td>2012</td>\n",
       "      <td>TX</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>26133</td>\n",
       "      <td>0.19</td>\n",
       "      <td>17.9</td>\n",
       "      <td>50747</td>\n",
       "      <td>25.2</td>\n",
       "      <td>0.192273</td>\n",
       "      <td>0.252877</td>\n",
       "      <td>0.292256</td>\n",
       "      <td>0.175141</td>\n",
       "      <td>0.087453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>552.766281</td>\n",
       "      <td>31.817553</td>\n",
       "      <td>2013</td>\n",
       "      <td>TX</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>25757</td>\n",
       "      <td>0.19</td>\n",
       "      <td>17.5</td>\n",
       "      <td>51714</td>\n",
       "      <td>24.8</td>\n",
       "      <td>0.188320</td>\n",
       "      <td>0.253148</td>\n",
       "      <td>0.291995</td>\n",
       "      <td>0.177269</td>\n",
       "      <td>0.089268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>552.766281</td>\n",
       "      <td>33.200925</td>\n",
       "      <td>2014</td>\n",
       "      <td>TX</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>25532</td>\n",
       "      <td>0.19</td>\n",
       "      <td>17.2</td>\n",
       "      <td>53067</td>\n",
       "      <td>21.4</td>\n",
       "      <td>0.184172</td>\n",
       "      <td>0.252350</td>\n",
       "      <td>0.292602</td>\n",
       "      <td>0.179484</td>\n",
       "      <td>0.091392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>436.072979</td>\n",
       "      <td>33.544075</td>\n",
       "      <td>2011</td>\n",
       "      <td>VT</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>31776</td>\n",
       "      <td>0.27</td>\n",
       "      <td>11.9</td>\n",
       "      <td>52033</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.089917</td>\n",
       "      <td>0.316640</td>\n",
       "      <td>0.254980</td>\n",
       "      <td>0.205277</td>\n",
       "      <td>0.133185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>436.072979</td>\n",
       "      <td>38.336086</td>\n",
       "      <td>2012</td>\n",
       "      <td>VT</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>33253</td>\n",
       "      <td>0.27</td>\n",
       "      <td>11.9</td>\n",
       "      <td>52700</td>\n",
       "      <td>7.9</td>\n",
       "      <td>0.087464</td>\n",
       "      <td>0.312187</td>\n",
       "      <td>0.258295</td>\n",
       "      <td>0.207282</td>\n",
       "      <td>0.134772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>436.072979</td>\n",
       "      <td>36.738749</td>\n",
       "      <td>2013</td>\n",
       "      <td>VT</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>34084</td>\n",
       "      <td>0.27</td>\n",
       "      <td>12.3</td>\n",
       "      <td>52511</td>\n",
       "      <td>8.7</td>\n",
       "      <td>0.086112</td>\n",
       "      <td>0.307729</td>\n",
       "      <td>0.258061</td>\n",
       "      <td>0.210161</td>\n",
       "      <td>0.137937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>436.072979</td>\n",
       "      <td>19.168043</td>\n",
       "      <td>2014</td>\n",
       "      <td>VT</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>34580</td>\n",
       "      <td>0.27</td>\n",
       "      <td>12.0</td>\n",
       "      <td>54153</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0.083576</td>\n",
       "      <td>0.305799</td>\n",
       "      <td>0.258603</td>\n",
       "      <td>0.212294</td>\n",
       "      <td>0.139728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>413.575438</td>\n",
       "      <td>26.601478</td>\n",
       "      <td>2011</td>\n",
       "      <td>VA</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>23944</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.6</td>\n",
       "      <td>61877</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0.134065</td>\n",
       "      <td>0.256356</td>\n",
       "      <td>0.266047</td>\n",
       "      <td>0.201592</td>\n",
       "      <td>0.141939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>413.575438</td>\n",
       "      <td>23.261382</td>\n",
       "      <td>2012</td>\n",
       "      <td>VA</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>23952</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.8</td>\n",
       "      <td>61782</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.130504</td>\n",
       "      <td>0.252465</td>\n",
       "      <td>0.270246</td>\n",
       "      <td>0.202661</td>\n",
       "      <td>0.144124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>413.575438</td>\n",
       "      <td>26.840056</td>\n",
       "      <td>2013</td>\n",
       "      <td>VA</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>23606</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.7</td>\n",
       "      <td>62745</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.125496</td>\n",
       "      <td>0.251583</td>\n",
       "      <td>0.270847</td>\n",
       "      <td>0.205210</td>\n",
       "      <td>0.146863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>413.575438</td>\n",
       "      <td>24.334984</td>\n",
       "      <td>2014</td>\n",
       "      <td>VA</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>23688</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.8</td>\n",
       "      <td>64923</td>\n",
       "      <td>12.4</td>\n",
       "      <td>0.121138</td>\n",
       "      <td>0.250080</td>\n",
       "      <td>0.271114</td>\n",
       "      <td>0.207390</td>\n",
       "      <td>0.150277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>445.304095</td>\n",
       "      <td>33.441125</td>\n",
       "      <td>2011</td>\n",
       "      <td>WI</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>33659</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.1</td>\n",
       "      <td>50401</td>\n",
       "      <td>10.3</td>\n",
       "      <td>0.101934</td>\n",
       "      <td>0.336491</td>\n",
       "      <td>0.301222</td>\n",
       "      <td>0.172603</td>\n",
       "      <td>0.087750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>445.304095</td>\n",
       "      <td>33.614395</td>\n",
       "      <td>2012</td>\n",
       "      <td>WI</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>34159</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.2</td>\n",
       "      <td>51063</td>\n",
       "      <td>10.4</td>\n",
       "      <td>0.098449</td>\n",
       "      <td>0.331277</td>\n",
       "      <td>0.306291</td>\n",
       "      <td>0.174702</td>\n",
       "      <td>0.089281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>445.304095</td>\n",
       "      <td>31.535154</td>\n",
       "      <td>2013</td>\n",
       "      <td>WI</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>33823</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.5</td>\n",
       "      <td>51474</td>\n",
       "      <td>10.6</td>\n",
       "      <td>0.095845</td>\n",
       "      <td>0.328345</td>\n",
       "      <td>0.307582</td>\n",
       "      <td>0.177467</td>\n",
       "      <td>0.090761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>445.304095</td>\n",
       "      <td>28.936103</td>\n",
       "      <td>2014</td>\n",
       "      <td>WI</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>33562</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.2</td>\n",
       "      <td>52632</td>\n",
       "      <td>8.6</td>\n",
       "      <td>0.092493</td>\n",
       "      <td>0.323815</td>\n",
       "      <td>0.309515</td>\n",
       "      <td>0.181003</td>\n",
       "      <td>0.093175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>967.400150</td>\n",
       "      <td>66.540751</td>\n",
       "      <td>2011</td>\n",
       "      <td>WY</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>30024</td>\n",
       "      <td>0.02</td>\n",
       "      <td>11.3</td>\n",
       "      <td>56044</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.081287</td>\n",
       "      <td>0.304649</td>\n",
       "      <td>0.371959</td>\n",
       "      <td>0.160454</td>\n",
       "      <td>0.081651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>967.400150</td>\n",
       "      <td>68.246924</td>\n",
       "      <td>2012</td>\n",
       "      <td>WY</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>30778</td>\n",
       "      <td>0.02</td>\n",
       "      <td>11.9</td>\n",
       "      <td>55104</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.079190</td>\n",
       "      <td>0.305455</td>\n",
       "      <td>0.372747</td>\n",
       "      <td>0.161713</td>\n",
       "      <td>0.080896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>967.400150</td>\n",
       "      <td>49.479020</td>\n",
       "      <td>2013</td>\n",
       "      <td>WY</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>30008</td>\n",
       "      <td>0.02</td>\n",
       "      <td>10.9</td>\n",
       "      <td>58424</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.076491</td>\n",
       "      <td>0.299698</td>\n",
       "      <td>0.377063</td>\n",
       "      <td>0.164787</td>\n",
       "      <td>0.081962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>967.400150</td>\n",
       "      <td>73.365444</td>\n",
       "      <td>2014</td>\n",
       "      <td>WY</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>30552</td>\n",
       "      <td>0.02</td>\n",
       "      <td>11.2</td>\n",
       "      <td>58291</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.077056</td>\n",
       "      <td>0.294103</td>\n",
       "      <td>0.377617</td>\n",
       "      <td>0.167980</td>\n",
       "      <td>0.083244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        ACC_MIL    ACH_MIL  YEAR STATE_SHORT    POP_MIL SUSPEND INTERLOCK_1ST  \\\n",
       "0    806.136433  48.569874  2011          AL   4.858979     yes            no   \n",
       "1    806.136433  46.100220  2012          AL   4.858979     yes            no   \n",
       "2    806.136433  44.042174  2013          AL   4.858979     yes            no   \n",
       "3    806.136433  47.952461  2014          AL   4.858979     yes            no   \n",
       "4    398.140926  24.375975  2011          AK   0.738432     yes            no   \n",
       "5    398.140926  20.313313  2012          AK   0.738432     yes            no   \n",
       "6    398.140926  20.313313  2013          AK   0.738432     yes            no   \n",
       "7    398.140926  35.209742  2014          AK   0.738432     yes            no   \n",
       "8    555.501449  28.265695  2011          AZ   6.828065     yes            no   \n",
       "9    555.501449  28.705058  2012          AZ   6.828065     yes            no   \n",
       "10   555.501449  29.583784  2013          AZ   6.828065     yes            no   \n",
       "11   555.501449  25.190153  2014          AZ   6.828065     yes            no   \n",
       "12   799.475120  54.059426  2011          AR   2.978204     yes            no   \n",
       "13   799.475120  51.373244  2012          AR   2.978204     yes            no   \n",
       "14   799.475120  40.292740  2013          AR   2.978204     yes            no   \n",
       "15   799.475120  38.613876  2014          AR   2.978204     yes            no   \n",
       "16   357.493040  19.057439  2011          CA  39.144818     yes            no   \n",
       "17   357.493040  20.283655  2012          CA  39.144818     yes            no   \n",
       "18   357.493040  20.462479  2013          CA  39.144818     yes            no   \n",
       "19   357.493040  20.743486  2014          CA  39.144818     yes            no   \n",
       "20   408.681345  26.023655  2011          CO   5.456574     yes            no   \n",
       "21   408.681345  25.290594  2012          CO   5.456574     yes            no   \n",
       "22   408.681345  26.756716  2013          CO   5.456574     yes            no   \n",
       "23   408.681345  28.039572  2014          CO   5.456574     yes            no   \n",
       "24   336.407227  20.329245  2011          CT   3.590886     yes            no   \n",
       "25   336.407227  22.557107  2012          CT   3.590886     yes            no   \n",
       "26   336.407227  25.620418  2013          CT   3.590886     yes            no   \n",
       "27   336.407227  20.607727  2014          CT   3.590886     yes            no   \n",
       "28   557.121321  37.000467  2011          DE   0.945934     yes            no   \n",
       "29   557.121321  40.171936  2012          DE   0.945934     yes            no   \n",
       "..          ...        ...   ...         ...        ...     ...           ...   \n",
       "122  407.547623  24.323792  2013          OR   4.028977     yes            no   \n",
       "123  407.547623  24.323792  2014          OR   4.028977     yes            no   \n",
       "124  447.568729  29.994135  2011          PA  12.802503      no            no   \n",
       "125  447.568729  30.775232  2012          PA  12.802503      no            no   \n",
       "126  447.568729  28.275721  2013          PA  12.802503      no            no   \n",
       "127  447.568729  25.385661  2014          PA  12.802503      no            no   \n",
       "128  679.363162  34.998414  2011          TN   6.600299      no            no   \n",
       "129  679.363162  41.210254  2012          TN   6.600299      no            no   \n",
       "130  679.363162  35.604448  2013          TN   6.600299      no            no   \n",
       "131  679.363162  35.604448  2014          TN   6.600299      no            no   \n",
       "132  552.766281  31.926767  2011          TX  27.469114     yes            no   \n",
       "133  552.766281  31.708340  2012          TX  27.469114     yes            no   \n",
       "134  552.766281  31.817553  2013          TX  27.469114     yes            no   \n",
       "135  552.766281  33.200925  2014          TX  27.469114     yes            no   \n",
       "136  436.072979  33.544075  2011          VT   0.626042     yes            no   \n",
       "137  436.072979  38.336086  2012          VT   0.626042     yes            no   \n",
       "138  436.072979  36.738749  2013          VT   0.626042     yes            no   \n",
       "139  436.072979  19.168043  2014          VT   0.626042     yes            no   \n",
       "140  413.575438  26.601478  2011          VA   8.382993     yes            no   \n",
       "141  413.575438  23.261382  2012          VA   8.382993     yes            no   \n",
       "142  413.575438  26.840056  2013          VA   8.382993     yes            no   \n",
       "143  413.575438  24.334984  2014          VA   8.382993     yes            no   \n",
       "144  445.304095  33.441125  2011          WI   5.771337     yes            no   \n",
       "145  445.304095  33.614395  2012          WI   5.771337     yes            no   \n",
       "146  445.304095  31.535154  2013          WI   5.771337     yes            no   \n",
       "147  445.304095  28.936103  2014          WI   5.771337     yes            no   \n",
       "148  967.400150  66.540751  2011          WY   0.586107     yes            no   \n",
       "149  967.400150  68.246924  2012          WY   0.586107     yes            no   \n",
       "150  967.400150  49.479020  2013          WY   0.586107     yes            no   \n",
       "151  967.400150  73.365444  2014          WY   0.586107     yes            no   \n",
       "\n",
       "    INTERLOCK_REPEAT  GALLONS_ALCOHOL_PER_CAP_21  BEER_TAX  PERCENT_POVERTY  \\\n",
       "0                yes                       22331      1.05             19.1   \n",
       "1                yes                       22656      1.05             19.0   \n",
       "2                yes                       22491      1.05             18.9   \n",
       "3                yes                       22481      1.05             19.2   \n",
       "4                yes                       32713      1.07             10.8   \n",
       "5                yes                       32236      1.07             10.8   \n",
       "6                yes                       31277      1.07             10.1   \n",
       "7                yes                       31696      1.07             11.4   \n",
       "8                yes                       27228      0.16             19.0   \n",
       "9                yes                       27627      0.16             18.7   \n",
       "10               yes                       26677      0.16             18.6   \n",
       "11               yes                       26819      0.16             18.2   \n",
       "12               yes                       19519      0.24             19.3   \n",
       "13               yes                       20435      0.24             19.6   \n",
       "14               yes                       20398      0.24             19.4   \n",
       "15               yes                       20203      0.24             18.7   \n",
       "16               yes                       25718      0.20             16.6   \n",
       "17               yes                       26742      0.20             17.0   \n",
       "18               yes                       26373      0.20             16.8   \n",
       "19               yes                       26200      0.20             16.4   \n",
       "20               yes                       30797      0.08             13.4   \n",
       "21               yes                       31076      0.08             13.6   \n",
       "22               yes                       31606      0.08             12.9   \n",
       "23               yes                       31067      0.08             12.1   \n",
       "24               yes                       26710      0.24             10.8   \n",
       "25               yes                       27104      0.24             10.6   \n",
       "26               yes                       26925      0.24             10.7   \n",
       "27               yes                       26800      0.24             10.8   \n",
       "28               yes                       40172      0.16             12.6   \n",
       "29               yes                       40456      0.16             12.7   \n",
       "..               ...                         ...       ...              ...   \n",
       "122              yes                       29684      0.08             16.5   \n",
       "123              yes                       30044      0.08             16.4   \n",
       "124              yes                       25977      0.08             13.7   \n",
       "125              yes                       26390      0.08             13.7   \n",
       "126              yes                       26238      0.08             13.7   \n",
       "127              yes                       26305      0.08             13.6   \n",
       "128              yes                       23006      1.29             18.4   \n",
       "129              yes                       22535      1.29             18.0   \n",
       "130              yes                       22440      1.29             17.8   \n",
       "131              yes                       22627      1.29             18.2   \n",
       "132              yes                       26060      0.19             18.5   \n",
       "133              yes                       26133      0.19             17.9   \n",
       "134              yes                       25757      0.19             17.5   \n",
       "135              yes                       25532      0.19             17.2   \n",
       "136              yes                       31776      0.27             11.9   \n",
       "137              yes                       33253      0.27             11.9   \n",
       "138              yes                       34084      0.27             12.3   \n",
       "139              yes                       34580      0.27             12.0   \n",
       "140              yes                       23944      0.28             11.6   \n",
       "141              yes                       23952      0.28             11.8   \n",
       "142              yes                       23606      0.28             11.7   \n",
       "143              yes                       23688      0.28             11.8   \n",
       "144              yes                       33659      0.06             13.1   \n",
       "145              yes                       34159      0.06             13.2   \n",
       "146              yes                       33823      0.06             13.5   \n",
       "147              yes                       33562      0.06             13.2   \n",
       "148              yes                       30024      0.02             11.3   \n",
       "149              yes                       30778      0.02             11.9   \n",
       "150              yes                       30008      0.02             10.9   \n",
       "151              yes                       30552      0.02             11.2   \n",
       "\n",
       "     MEDIAN_INCOME  PERCENT_UNINSURE  LESS_HS_P      HS_P  SOME_C_P  \\\n",
       "0            41427              16.6   0.180897  0.314334  0.285068   \n",
       "1            41610              15.8   0.174023  0.313100  0.290229   \n",
       "2            42882              15.9   0.168852  0.310562  0.294274   \n",
       "3            42917              14.2   0.162953  0.310687  0.295833   \n",
       "4            65699              21.7   0.086375  0.272442  0.369075   \n",
       "5            66503              22.3   0.084130  0.270973  0.370134   \n",
       "6            70058              20.8   0.083634  0.273077  0.368287   \n",
       "7            70898              19.0   0.081900  0.275051  0.366203   \n",
       "8            46710              19.6   0.148176  0.247291  0.340564   \n",
       "9            47796              20.4   0.145577  0.243979  0.344151   \n",
       "10           48504              20.0   0.143056  0.245064  0.343135   \n",
       "11           50036              16.1   0.141056  0.245072  0.342895   \n",
       "12           38889              20.1   0.173465  0.352003  0.278698   \n",
       "13           40151              19.4   0.166937  0.351238  0.283841   \n",
       "14           40605              18.8   0.162692  0.350798  0.285475   \n",
       "15           41335              13.8   0.157028  0.349982  0.286530   \n",
       "16           57275              20.2   0.191818  0.211169  0.294672   \n",
       "17           58322              20.0   0.189801  0.206846  0.298819   \n",
       "18           60185              19.4   0.187580  0.207157  0.298534   \n",
       "19           61927              14.1   0.185113  0.207242  0.297625   \n",
       "20           55530              17.0   0.103172  0.229340  0.304557   \n",
       "21           56880              16.7   0.100773  0.223595  0.308869   \n",
       "22           58942              16.0   0.098276  0.221388  0.310048   \n",
       "23           61324              11.7   0.096208  0.219880  0.309300   \n",
       "24           65822              10.1   0.114309  0.281284  0.247303   \n",
       "25           67275              10.5   0.110414  0.278551  0.249469   \n",
       "26           67262              10.9   0.108196  0.277593  0.249642   \n",
       "27           70007               8.0   0.104664  0.276060  0.249281   \n",
       "28           58159              11.2   0.126456  0.317028  0.276797   \n",
       "29           58326              10.3   0.123231  0.316354  0.275192   \n",
       "..             ...               ...        ...       ...       ...   \n",
       "122          50228              17.2   0.106105  0.245972  0.350890   \n",
       "123          51088              11.6   0.105186  0.245435  0.348683   \n",
       "124          50221              12.0   0.121028  0.375537  0.236739   \n",
       "125          51225              11.7   0.117085  0.372147  0.240308   \n",
       "126          52005              11.6   0.113376  0.370489  0.240716   \n",
       "127          53224              10.2   0.110304  0.367517  0.241189   \n",
       "128          41691              17.0   0.168184  0.332755  0.268751   \n",
       "129          42743              16.2   0.161234  0.329632  0.274200   \n",
       "130          44268              16.2   0.156058  0.330730  0.274774   \n",
       "131          44357              14.1   0.150539  0.330769  0.274813   \n",
       "132          49390              25.7   0.195739  0.256603  0.287076   \n",
       "133          50747              25.2   0.192273  0.252877  0.292256   \n",
       "134          51714              24.8   0.188320  0.253148  0.291995   \n",
       "135          53067              21.4   0.184172  0.252350  0.292602   \n",
       "136          52033               8.0   0.089917  0.316640  0.254980   \n",
       "137          52700               7.9   0.087464  0.312187  0.258295   \n",
       "138          52511               8.7   0.086112  0.307729  0.258061   \n",
       "139          54153               6.1   0.083576  0.305799  0.258603   \n",
       "140          61877              14.3   0.134065  0.256356  0.266047   \n",
       "141          61782              14.2   0.130504  0.252465  0.270246   \n",
       "142          62745              14.0   0.125496  0.251583  0.270847   \n",
       "143          64923              12.4   0.121138  0.250080  0.271114   \n",
       "144          50401              10.3   0.101934  0.336491  0.301222   \n",
       "145          51063              10.4   0.098449  0.331277  0.306291   \n",
       "146          51474              10.6   0.095845  0.328345  0.307582   \n",
       "147          52632               8.6   0.092493  0.323815  0.309515   \n",
       "148          56044              17.3   0.081287  0.304649  0.371959   \n",
       "149          55104              17.3   0.079190  0.305455  0.372747   \n",
       "150          58424              15.8   0.076491  0.299698  0.377063   \n",
       "151          58291              14.2   0.077056  0.294103  0.377617   \n",
       "\n",
       "     BACHELORS_P  GRAD_PROF_P  \n",
       "0       0.139643     0.080058  \n",
       "1       0.141521     0.081127  \n",
       "2       0.143547     0.082766  \n",
       "3       0.144587     0.085940  \n",
       "4       0.176662     0.095446  \n",
       "5       0.177505     0.097258  \n",
       "6       0.177079     0.097924  \n",
       "7       0.178704     0.098143  \n",
       "8       0.168360     0.095609  \n",
       "9       0.169160     0.097133  \n",
       "10      0.170197     0.098547  \n",
       "11      0.171268     0.099709  \n",
       "12      0.130271     0.065563  \n",
       "13      0.131480     0.066503  \n",
       "14      0.132791     0.068245  \n",
       "15      0.135028     0.071433  \n",
       "16      0.192582     0.109759  \n",
       "17      0.193536     0.110998  \n",
       "18      0.194375     0.112353  \n",
       "19      0.195872     0.114148  \n",
       "20      0.232747     0.130185  \n",
       "21      0.234469     0.132294  \n",
       "22      0.235905     0.134382  \n",
       "23      0.237353     0.137259  \n",
       "24      0.201377     0.155727  \n",
       "25      0.203261     0.158304  \n",
       "26      0.203835     0.160734  \n",
       "27      0.206331     0.163664  \n",
       "28      0.166855     0.112864  \n",
       "29      0.170918     0.114305  \n",
       "..           ...          ...  \n",
       "122     0.187199     0.109834  \n",
       "123     0.188916     0.111780  \n",
       "124     0.164546     0.102150  \n",
       "125     0.166197     0.104263  \n",
       "126     0.168503     0.106917  \n",
       "127     0.171392     0.109598  \n",
       "128     0.148954     0.081356  \n",
       "129     0.151694     0.083239  \n",
       "130     0.153056     0.085382  \n",
       "131     0.156002     0.087877  \n",
       "132     0.174431     0.086151  \n",
       "133     0.175141     0.087453  \n",
       "134     0.177269     0.089268  \n",
       "135     0.179484     0.091392  \n",
       "136     0.205277     0.133185  \n",
       "137     0.207282     0.134772  \n",
       "138     0.210161     0.137937  \n",
       "139     0.212294     0.139728  \n",
       "140     0.201592     0.141939  \n",
       "141     0.202661     0.144124  \n",
       "142     0.205210     0.146863  \n",
       "143     0.207390     0.150277  \n",
       "144     0.172603     0.087750  \n",
       "145     0.174702     0.089281  \n",
       "146     0.177467     0.090761  \n",
       "147     0.181003     0.093175  \n",
       "148     0.160454     0.081651  \n",
       "149     0.161713     0.080896  \n",
       "150     0.164787     0.081962  \n",
       "151     0.167980     0.083244  \n",
       "\n",
       "[152 rows x 18 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dui_tax_short"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "features = pd.DataFrame(dui_tax_short)\n",
    "features = features.drop('ACH_MIL', axis=1)\n",
    "features = features.drop('ACC_MIL', axis=1)\n",
    "\n",
    "targets = dui_tax_short.ACH_MIL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "le = preprocessing.LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['YEAR', 'STATE_SHORT', 'POP_MIL', 'SUSPEND', 'INTERLOCK_1ST',\n",
       "       'INTERLOCK_REPEAT', 'GALLONS_ALCOHOL_PER_CAP_21', 'BEER_TAX',\n",
       "       'PERCENT_POVERTY', 'MEDIAN_INCOME', 'PERCENT_UNINSURE', 'LESS_HS_P',\n",
       "       'HS_P', 'SOME_C_P', 'BACHELORS_P', 'GRAD_PROF_P'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 16)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(len(features.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#rf in python cannot take strings\n",
    "#range(len(features.columns)\n",
    "for i in [1,3,4,5]:\n",
    "    features.iloc[:,i] = le.fit_transform(features.iloc[:,i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false,
    "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>YEAR</th>\n",
       "      <th>STATE_SHORT</th>\n",
       "      <th>POP_MIL</th>\n",
       "      <th>SUSPEND</th>\n",
       "      <th>INTERLOCK_1ST</th>\n",
       "      <th>INTERLOCK_REPEAT</th>\n",
       "      <th>GALLONS_ALCOHOL_PER_CAP_21</th>\n",
       "      <th>BEER_TAX</th>\n",
       "      <th>PERCENT_POVERTY</th>\n",
       "      <th>MEDIAN_INCOME</th>\n",
       "      <th>PERCENT_UNINSURE</th>\n",
       "      <th>LESS_HS_P</th>\n",
       "      <th>HS_P</th>\n",
       "      <th>SOME_C_P</th>\n",
       "      <th>BACHELORS_P</th>\n",
       "      <th>GRAD_PROF_P</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011</td>\n",
       "      <td>1</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22331</td>\n",
       "      <td>1.05</td>\n",
       "      <td>19.1</td>\n",
       "      <td>41427</td>\n",
       "      <td>16.6</td>\n",
       "      <td>0.180897</td>\n",
       "      <td>0.314334</td>\n",
       "      <td>0.285068</td>\n",
       "      <td>0.139643</td>\n",
       "      <td>0.080058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22656</td>\n",
       "      <td>1.05</td>\n",
       "      <td>19.0</td>\n",
       "      <td>41610</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.174023</td>\n",
       "      <td>0.313100</td>\n",
       "      <td>0.290229</td>\n",
       "      <td>0.141521</td>\n",
       "      <td>0.081127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013</td>\n",
       "      <td>1</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22491</td>\n",
       "      <td>1.05</td>\n",
       "      <td>18.9</td>\n",
       "      <td>42882</td>\n",
       "      <td>15.9</td>\n",
       "      <td>0.168852</td>\n",
       "      <td>0.310562</td>\n",
       "      <td>0.294274</td>\n",
       "      <td>0.143547</td>\n",
       "      <td>0.082766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014</td>\n",
       "      <td>1</td>\n",
       "      <td>4.858979</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22481</td>\n",
       "      <td>1.05</td>\n",
       "      <td>19.2</td>\n",
       "      <td>42917</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.162953</td>\n",
       "      <td>0.310687</td>\n",
       "      <td>0.295833</td>\n",
       "      <td>0.144587</td>\n",
       "      <td>0.085940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011</td>\n",
       "      <td>0</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>32713</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.8</td>\n",
       "      <td>65699</td>\n",
       "      <td>21.7</td>\n",
       "      <td>0.086375</td>\n",
       "      <td>0.272442</td>\n",
       "      <td>0.369075</td>\n",
       "      <td>0.176662</td>\n",
       "      <td>0.095446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012</td>\n",
       "      <td>0</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>32236</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.8</td>\n",
       "      <td>66503</td>\n",
       "      <td>22.3</td>\n",
       "      <td>0.084130</td>\n",
       "      <td>0.270973</td>\n",
       "      <td>0.370134</td>\n",
       "      <td>0.177505</td>\n",
       "      <td>0.097258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2013</td>\n",
       "      <td>0</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>31277</td>\n",
       "      <td>1.07</td>\n",
       "      <td>10.1</td>\n",
       "      <td>70058</td>\n",
       "      <td>20.8</td>\n",
       "      <td>0.083634</td>\n",
       "      <td>0.273077</td>\n",
       "      <td>0.368287</td>\n",
       "      <td>0.177079</td>\n",
       "      <td>0.097924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2014</td>\n",
       "      <td>0</td>\n",
       "      <td>0.738432</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>31696</td>\n",
       "      <td>1.07</td>\n",
       "      <td>11.4</td>\n",
       "      <td>70898</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.081900</td>\n",
       "      <td>0.275051</td>\n",
       "      <td>0.366203</td>\n",
       "      <td>0.178704</td>\n",
       "      <td>0.098143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2011</td>\n",
       "      <td>3</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>27228</td>\n",
       "      <td>0.16</td>\n",
       "      <td>19.0</td>\n",
       "      <td>46710</td>\n",
       "      <td>19.6</td>\n",
       "      <td>0.148176</td>\n",
       "      <td>0.247291</td>\n",
       "      <td>0.340564</td>\n",
       "      <td>0.168360</td>\n",
       "      <td>0.095609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2012</td>\n",
       "      <td>3</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>27627</td>\n",
       "      <td>0.16</td>\n",
       "      <td>18.7</td>\n",
       "      <td>47796</td>\n",
       "      <td>20.4</td>\n",
       "      <td>0.145577</td>\n",
       "      <td>0.243979</td>\n",
       "      <td>0.344151</td>\n",
       "      <td>0.169160</td>\n",
       "      <td>0.097133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2013</td>\n",
       "      <td>3</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26677</td>\n",
       "      <td>0.16</td>\n",
       "      <td>18.6</td>\n",
       "      <td>48504</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.143056</td>\n",
       "      <td>0.245064</td>\n",
       "      <td>0.343135</td>\n",
       "      <td>0.170197</td>\n",
       "      <td>0.098547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2014</td>\n",
       "      <td>3</td>\n",
       "      <td>6.828065</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26819</td>\n",
       "      <td>0.16</td>\n",
       "      <td>18.2</td>\n",
       "      <td>50036</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.141056</td>\n",
       "      <td>0.245072</td>\n",
       "      <td>0.342895</td>\n",
       "      <td>0.171268</td>\n",
       "      <td>0.099709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2011</td>\n",
       "      <td>2</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>19519</td>\n",
       "      <td>0.24</td>\n",
       "      <td>19.3</td>\n",
       "      <td>38889</td>\n",
       "      <td>20.1</td>\n",
       "      <td>0.173465</td>\n",
       "      <td>0.352003</td>\n",
       "      <td>0.278698</td>\n",
       "      <td>0.130271</td>\n",
       "      <td>0.065563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2012</td>\n",
       "      <td>2</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>20435</td>\n",
       "      <td>0.24</td>\n",
       "      <td>19.6</td>\n",
       "      <td>40151</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.166937</td>\n",
       "      <td>0.351238</td>\n",
       "      <td>0.283841</td>\n",
       "      <td>0.131480</td>\n",
       "      <td>0.066503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2013</td>\n",
       "      <td>2</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>20398</td>\n",
       "      <td>0.24</td>\n",
       "      <td>19.4</td>\n",
       "      <td>40605</td>\n",
       "      <td>18.8</td>\n",
       "      <td>0.162692</td>\n",
       "      <td>0.350798</td>\n",
       "      <td>0.285475</td>\n",
       "      <td>0.132791</td>\n",
       "      <td>0.068245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2014</td>\n",
       "      <td>2</td>\n",
       "      <td>2.978204</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>20203</td>\n",
       "      <td>0.24</td>\n",
       "      <td>18.7</td>\n",
       "      <td>41335</td>\n",
       "      <td>13.8</td>\n",
       "      <td>0.157028</td>\n",
       "      <td>0.349982</td>\n",
       "      <td>0.286530</td>\n",
       "      <td>0.135028</td>\n",
       "      <td>0.071433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2011</td>\n",
       "      <td>4</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>25718</td>\n",
       "      <td>0.20</td>\n",
       "      <td>16.6</td>\n",
       "      <td>57275</td>\n",
       "      <td>20.2</td>\n",
       "      <td>0.191818</td>\n",
       "      <td>0.211169</td>\n",
       "      <td>0.294672</td>\n",
       "      <td>0.192582</td>\n",
       "      <td>0.109759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2012</td>\n",
       "      <td>4</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26742</td>\n",
       "      <td>0.20</td>\n",
       "      <td>17.0</td>\n",
       "      <td>58322</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.189801</td>\n",
       "      <td>0.206846</td>\n",
       "      <td>0.298819</td>\n",
       "      <td>0.193536</td>\n",
       "      <td>0.110998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2013</td>\n",
       "      <td>4</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26373</td>\n",
       "      <td>0.20</td>\n",
       "      <td>16.8</td>\n",
       "      <td>60185</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.187580</td>\n",
       "      <td>0.207157</td>\n",
       "      <td>0.298534</td>\n",
       "      <td>0.194375</td>\n",
       "      <td>0.112353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2014</td>\n",
       "      <td>4</td>\n",
       "      <td>39.144818</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26200</td>\n",
       "      <td>0.20</td>\n",
       "      <td>16.4</td>\n",
       "      <td>61927</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.185113</td>\n",
       "      <td>0.207242</td>\n",
       "      <td>0.297625</td>\n",
       "      <td>0.195872</td>\n",
       "      <td>0.114148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2011</td>\n",
       "      <td>5</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30797</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.4</td>\n",
       "      <td>55530</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.103172</td>\n",
       "      <td>0.229340</td>\n",
       "      <td>0.304557</td>\n",
       "      <td>0.232747</td>\n",
       "      <td>0.130185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2012</td>\n",
       "      <td>5</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>31076</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.6</td>\n",
       "      <td>56880</td>\n",
       "      <td>16.7</td>\n",
       "      <td>0.100773</td>\n",
       "      <td>0.223595</td>\n",
       "      <td>0.308869</td>\n",
       "      <td>0.234469</td>\n",
       "      <td>0.132294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2013</td>\n",
       "      <td>5</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>31606</td>\n",
       "      <td>0.08</td>\n",
       "      <td>12.9</td>\n",
       "      <td>58942</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.098276</td>\n",
       "      <td>0.221388</td>\n",
       "      <td>0.310048</td>\n",
       "      <td>0.235905</td>\n",
       "      <td>0.134382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2014</td>\n",
       "      <td>5</td>\n",
       "      <td>5.456574</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>31067</td>\n",
       "      <td>0.08</td>\n",
       "      <td>12.1</td>\n",
       "      <td>61324</td>\n",
       "      <td>11.7</td>\n",
       "      <td>0.096208</td>\n",
       "      <td>0.219880</td>\n",
       "      <td>0.309300</td>\n",
       "      <td>0.237353</td>\n",
       "      <td>0.137259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2011</td>\n",
       "      <td>6</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26710</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.8</td>\n",
       "      <td>65822</td>\n",
       "      <td>10.1</td>\n",
       "      <td>0.114309</td>\n",
       "      <td>0.281284</td>\n",
       "      <td>0.247303</td>\n",
       "      <td>0.201377</td>\n",
       "      <td>0.155727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2012</td>\n",
       "      <td>6</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>27104</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.6</td>\n",
       "      <td>67275</td>\n",
       "      <td>10.5</td>\n",
       "      <td>0.110414</td>\n",
       "      <td>0.278551</td>\n",
       "      <td>0.249469</td>\n",
       "      <td>0.203261</td>\n",
       "      <td>0.158304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2013</td>\n",
       "      <td>6</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26925</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.7</td>\n",
       "      <td>67262</td>\n",
       "      <td>10.9</td>\n",
       "      <td>0.108196</td>\n",
       "      <td>0.277593</td>\n",
       "      <td>0.249642</td>\n",
       "      <td>0.203835</td>\n",
       "      <td>0.160734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2014</td>\n",
       "      <td>6</td>\n",
       "      <td>3.590886</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26800</td>\n",
       "      <td>0.24</td>\n",
       "      <td>10.8</td>\n",
       "      <td>70007</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.104664</td>\n",
       "      <td>0.276060</td>\n",
       "      <td>0.249281</td>\n",
       "      <td>0.206331</td>\n",
       "      <td>0.163664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2011</td>\n",
       "      <td>7</td>\n",
       "      <td>0.945934</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>40172</td>\n",
       "      <td>0.16</td>\n",
       "      <td>12.6</td>\n",
       "      <td>58159</td>\n",
       "      <td>11.2</td>\n",
       "      <td>0.126456</td>\n",
       "      <td>0.317028</td>\n",
       "      <td>0.276797</td>\n",
       "      <td>0.166855</td>\n",
       "      <td>0.112864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2012</td>\n",
       "      <td>7</td>\n",
       "      <td>0.945934</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>40456</td>\n",
       "      <td>0.16</td>\n",
       "      <td>12.7</td>\n",
       "      <td>58326</td>\n",
       "      <td>10.3</td>\n",
       "      <td>0.123231</td>\n",
       "      <td>0.316354</td>\n",
       "      <td>0.275192</td>\n",
       "      <td>0.170918</td>\n",
       "      <td>0.114305</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2013</td>\n",
       "      <td>30</td>\n",
       "      <td>4.028977</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>29684</td>\n",
       "      <td>0.08</td>\n",
       "      <td>16.5</td>\n",
       "      <td>50228</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.106105</td>\n",
       "      <td>0.245972</td>\n",
       "      <td>0.350890</td>\n",
       "      <td>0.187199</td>\n",
       "      <td>0.109834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2014</td>\n",
       "      <td>30</td>\n",
       "      <td>4.028977</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30044</td>\n",
       "      <td>0.08</td>\n",
       "      <td>16.4</td>\n",
       "      <td>51088</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0.105186</td>\n",
       "      <td>0.245435</td>\n",
       "      <td>0.348683</td>\n",
       "      <td>0.188916</td>\n",
       "      <td>0.111780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2011</td>\n",
       "      <td>31</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>25977</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.7</td>\n",
       "      <td>50221</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.121028</td>\n",
       "      <td>0.375537</td>\n",
       "      <td>0.236739</td>\n",
       "      <td>0.164546</td>\n",
       "      <td>0.102150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2012</td>\n",
       "      <td>31</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26390</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.7</td>\n",
       "      <td>51225</td>\n",
       "      <td>11.7</td>\n",
       "      <td>0.117085</td>\n",
       "      <td>0.372147</td>\n",
       "      <td>0.240308</td>\n",
       "      <td>0.166197</td>\n",
       "      <td>0.104263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2013</td>\n",
       "      <td>31</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26238</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.7</td>\n",
       "      <td>52005</td>\n",
       "      <td>11.6</td>\n",
       "      <td>0.113376</td>\n",
       "      <td>0.370489</td>\n",
       "      <td>0.240716</td>\n",
       "      <td>0.168503</td>\n",
       "      <td>0.106917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2014</td>\n",
       "      <td>31</td>\n",
       "      <td>12.802503</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26305</td>\n",
       "      <td>0.08</td>\n",
       "      <td>13.6</td>\n",
       "      <td>53224</td>\n",
       "      <td>10.2</td>\n",
       "      <td>0.110304</td>\n",
       "      <td>0.367517</td>\n",
       "      <td>0.241189</td>\n",
       "      <td>0.171392</td>\n",
       "      <td>0.109598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2011</td>\n",
       "      <td>32</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>23006</td>\n",
       "      <td>1.29</td>\n",
       "      <td>18.4</td>\n",
       "      <td>41691</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.168184</td>\n",
       "      <td>0.332755</td>\n",
       "      <td>0.268751</td>\n",
       "      <td>0.148954</td>\n",
       "      <td>0.081356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2012</td>\n",
       "      <td>32</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22535</td>\n",
       "      <td>1.29</td>\n",
       "      <td>18.0</td>\n",
       "      <td>42743</td>\n",
       "      <td>16.2</td>\n",
       "      <td>0.161234</td>\n",
       "      <td>0.329632</td>\n",
       "      <td>0.274200</td>\n",
       "      <td>0.151694</td>\n",
       "      <td>0.083239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2013</td>\n",
       "      <td>32</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22440</td>\n",
       "      <td>1.29</td>\n",
       "      <td>17.8</td>\n",
       "      <td>44268</td>\n",
       "      <td>16.2</td>\n",
       "      <td>0.156058</td>\n",
       "      <td>0.330730</td>\n",
       "      <td>0.274774</td>\n",
       "      <td>0.153056</td>\n",
       "      <td>0.085382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2014</td>\n",
       "      <td>32</td>\n",
       "      <td>6.600299</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>22627</td>\n",
       "      <td>1.29</td>\n",
       "      <td>18.2</td>\n",
       "      <td>44357</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.150539</td>\n",
       "      <td>0.330769</td>\n",
       "      <td>0.274813</td>\n",
       "      <td>0.156002</td>\n",
       "      <td>0.087877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2011</td>\n",
       "      <td>33</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26060</td>\n",
       "      <td>0.19</td>\n",
       "      <td>18.5</td>\n",
       "      <td>49390</td>\n",
       "      <td>25.7</td>\n",
       "      <td>0.195739</td>\n",
       "      <td>0.256603</td>\n",
       "      <td>0.287076</td>\n",
       "      <td>0.174431</td>\n",
       "      <td>0.086151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2012</td>\n",
       "      <td>33</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>26133</td>\n",
       "      <td>0.19</td>\n",
       "      <td>17.9</td>\n",
       "      <td>50747</td>\n",
       "      <td>25.2</td>\n",
       "      <td>0.192273</td>\n",
       "      <td>0.252877</td>\n",
       "      <td>0.292256</td>\n",
       "      <td>0.175141</td>\n",
       "      <td>0.087453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2013</td>\n",
       "      <td>33</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>25757</td>\n",
       "      <td>0.19</td>\n",
       "      <td>17.5</td>\n",
       "      <td>51714</td>\n",
       "      <td>24.8</td>\n",
       "      <td>0.188320</td>\n",
       "      <td>0.253148</td>\n",
       "      <td>0.291995</td>\n",
       "      <td>0.177269</td>\n",
       "      <td>0.089268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2014</td>\n",
       "      <td>33</td>\n",
       "      <td>27.469114</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>25532</td>\n",
       "      <td>0.19</td>\n",
       "      <td>17.2</td>\n",
       "      <td>53067</td>\n",
       "      <td>21.4</td>\n",
       "      <td>0.184172</td>\n",
       "      <td>0.252350</td>\n",
       "      <td>0.292602</td>\n",
       "      <td>0.179484</td>\n",
       "      <td>0.091392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2011</td>\n",
       "      <td>35</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>31776</td>\n",
       "      <td>0.27</td>\n",
       "      <td>11.9</td>\n",
       "      <td>52033</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.089917</td>\n",
       "      <td>0.316640</td>\n",
       "      <td>0.254980</td>\n",
       "      <td>0.205277</td>\n",
       "      <td>0.133185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2012</td>\n",
       "      <td>35</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>33253</td>\n",
       "      <td>0.27</td>\n",
       "      <td>11.9</td>\n",
       "      <td>52700</td>\n",
       "      <td>7.9</td>\n",
       "      <td>0.087464</td>\n",
       "      <td>0.312187</td>\n",
       "      <td>0.258295</td>\n",
       "      <td>0.207282</td>\n",
       "      <td>0.134772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2013</td>\n",
       "      <td>35</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>34084</td>\n",
       "      <td>0.27</td>\n",
       "      <td>12.3</td>\n",
       "      <td>52511</td>\n",
       "      <td>8.7</td>\n",
       "      <td>0.086112</td>\n",
       "      <td>0.307729</td>\n",
       "      <td>0.258061</td>\n",
       "      <td>0.210161</td>\n",
       "      <td>0.137937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2014</td>\n",
       "      <td>35</td>\n",
       "      <td>0.626042</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>34580</td>\n",
       "      <td>0.27</td>\n",
       "      <td>12.0</td>\n",
       "      <td>54153</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0.083576</td>\n",
       "      <td>0.305799</td>\n",
       "      <td>0.258603</td>\n",
       "      <td>0.212294</td>\n",
       "      <td>0.139728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2011</td>\n",
       "      <td>34</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>23944</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.6</td>\n",
       "      <td>61877</td>\n",
       "      <td>14.3</td>\n",
       "      <td>0.134065</td>\n",
       "      <td>0.256356</td>\n",
       "      <td>0.266047</td>\n",
       "      <td>0.201592</td>\n",
       "      <td>0.141939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2012</td>\n",
       "      <td>34</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>23952</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.8</td>\n",
       "      <td>61782</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.130504</td>\n",
       "      <td>0.252465</td>\n",
       "      <td>0.270246</td>\n",
       "      <td>0.202661</td>\n",
       "      <td>0.144124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2013</td>\n",
       "      <td>34</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>23606</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.7</td>\n",
       "      <td>62745</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.125496</td>\n",
       "      <td>0.251583</td>\n",
       "      <td>0.270847</td>\n",
       "      <td>0.205210</td>\n",
       "      <td>0.146863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2014</td>\n",
       "      <td>34</td>\n",
       "      <td>8.382993</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>23688</td>\n",
       "      <td>0.28</td>\n",
       "      <td>11.8</td>\n",
       "      <td>64923</td>\n",
       "      <td>12.4</td>\n",
       "      <td>0.121138</td>\n",
       "      <td>0.250080</td>\n",
       "      <td>0.271114</td>\n",
       "      <td>0.207390</td>\n",
       "      <td>0.150277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2011</td>\n",
       "      <td>36</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>33659</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.1</td>\n",
       "      <td>50401</td>\n",
       "      <td>10.3</td>\n",
       "      <td>0.101934</td>\n",
       "      <td>0.336491</td>\n",
       "      <td>0.301222</td>\n",
       "      <td>0.172603</td>\n",
       "      <td>0.087750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2012</td>\n",
       "      <td>36</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>34159</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.2</td>\n",
       "      <td>51063</td>\n",
       "      <td>10.4</td>\n",
       "      <td>0.098449</td>\n",
       "      <td>0.331277</td>\n",
       "      <td>0.306291</td>\n",
       "      <td>0.174702</td>\n",
       "      <td>0.089281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2013</td>\n",
       "      <td>36</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>33823</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.5</td>\n",
       "      <td>51474</td>\n",
       "      <td>10.6</td>\n",
       "      <td>0.095845</td>\n",
       "      <td>0.328345</td>\n",
       "      <td>0.307582</td>\n",
       "      <td>0.177467</td>\n",
       "      <td>0.090761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2014</td>\n",
       "      <td>36</td>\n",
       "      <td>5.771337</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>33562</td>\n",
       "      <td>0.06</td>\n",
       "      <td>13.2</td>\n",
       "      <td>52632</td>\n",
       "      <td>8.6</td>\n",
       "      <td>0.092493</td>\n",
       "      <td>0.323815</td>\n",
       "      <td>0.309515</td>\n",
       "      <td>0.181003</td>\n",
       "      <td>0.093175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2011</td>\n",
       "      <td>37</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30024</td>\n",
       "      <td>0.02</td>\n",
       "      <td>11.3</td>\n",
       "      <td>56044</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.081287</td>\n",
       "      <td>0.304649</td>\n",
       "      <td>0.371959</td>\n",
       "      <td>0.160454</td>\n",
       "      <td>0.081651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2012</td>\n",
       "      <td>37</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30778</td>\n",
       "      <td>0.02</td>\n",
       "      <td>11.9</td>\n",
       "      <td>55104</td>\n",
       "      <td>17.3</td>\n",
       "      <td>0.079190</td>\n",
       "      <td>0.305455</td>\n",
       "      <td>0.372747</td>\n",
       "      <td>0.161713</td>\n",
       "      <td>0.080896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2013</td>\n",
       "      <td>37</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30008</td>\n",
       "      <td>0.02</td>\n",
       "      <td>10.9</td>\n",
       "      <td>58424</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.076491</td>\n",
       "      <td>0.299698</td>\n",
       "      <td>0.377063</td>\n",
       "      <td>0.164787</td>\n",
       "      <td>0.081962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2014</td>\n",
       "      <td>37</td>\n",
       "      <td>0.586107</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>30552</td>\n",
       "      <td>0.02</td>\n",
       "      <td>11.2</td>\n",
       "      <td>58291</td>\n",
       "      <td>14.2</td>\n",
       "      <td>0.077056</td>\n",
       "      <td>0.294103</td>\n",
       "      <td>0.377617</td>\n",
       "      <td>0.167980</td>\n",
       "      <td>0.083244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>152 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     YEAR  STATE_SHORT    POP_MIL  SUSPEND  INTERLOCK_1ST  INTERLOCK_REPEAT  \\\n",
       "0    2011            1   4.858979        1              0                 2   \n",
       "1    2012            1   4.858979        1              0                 2   \n",
       "2    2013            1   4.858979        1              0                 2   \n",
       "3    2014            1   4.858979        1              0                 2   \n",
       "4    2011            0   0.738432        1              0                 2   \n",
       "5    2012            0   0.738432        1              0                 2   \n",
       "6    2013            0   0.738432        1              0                 2   \n",
       "7    2014            0   0.738432        1              0                 2   \n",
       "8    2011            3   6.828065        1              0                 2   \n",
       "9    2012            3   6.828065        1              0                 2   \n",
       "10   2013            3   6.828065        1              0                 2   \n",
       "11   2014            3   6.828065        1              0                 2   \n",
       "12   2011            2   2.978204        1              0                 2   \n",
       "13   2012            2   2.978204        1              0                 2   \n",
       "14   2013            2   2.978204        1              0                 2   \n",
       "15   2014            2   2.978204        1              0                 2   \n",
       "16   2011            4  39.144818        1              0                 2   \n",
       "17   2012            4  39.144818        1              0                 2   \n",
       "18   2013            4  39.144818        1              0                 2   \n",
       "19   2014            4  39.144818        1              0                 2   \n",
       "20   2011            5   5.456574        1              0                 2   \n",
       "21   2012            5   5.456574        1              0                 2   \n",
       "22   2013            5   5.456574        1              0                 2   \n",
       "23   2014            5   5.456574        1              0                 2   \n",
       "24   2011            6   3.590886        1              0                 2   \n",
       "25   2012            6   3.590886        1              0                 2   \n",
       "26   2013            6   3.590886        1              0                 2   \n",
       "27   2014            6   3.590886        1              0                 2   \n",
       "28   2011            7   0.945934        1              0                 2   \n",
       "29   2012            7   0.945934        1              0                 2   \n",
       "..    ...          ...        ...      ...            ...               ...   \n",
       "122  2013           30   4.028977        1              0                 2   \n",
       "123  2014           30   4.028977        1              0                 2   \n",
       "124  2011           31  12.802503        0              0                 2   \n",
       "125  2012           31  12.802503        0              0                 2   \n",
       "126  2013           31  12.802503        0              0                 2   \n",
       "127  2014           31  12.802503        0              0                 2   \n",
       "128  2011           32   6.600299        0              0                 2   \n",
       "129  2012           32   6.600299        0              0                 2   \n",
       "130  2013           32   6.600299        0              0                 2   \n",
       "131  2014           32   6.600299        0              0                 2   \n",
       "132  2011           33  27.469114        1              0                 2   \n",
       "133  2012           33  27.469114        1              0                 2   \n",
       "134  2013           33  27.469114        1              0                 2   \n",
       "135  2014           33  27.469114        1              0                 2   \n",
       "136  2011           35   0.626042        1              0                 2   \n",
       "137  2012           35   0.626042        1              0                 2   \n",
       "138  2013           35   0.626042        1              0                 2   \n",
       "139  2014           35   0.626042        1              0                 2   \n",
       "140  2011           34   8.382993        1              0                 2   \n",
       "141  2012           34   8.382993        1              0                 2   \n",
       "142  2013           34   8.382993        1              0                 2   \n",
       "143  2014           34   8.382993        1              0                 2   \n",
       "144  2011           36   5.771337        1              0                 2   \n",
       "145  2012           36   5.771337        1              0                 2   \n",
       "146  2013           36   5.771337        1              0                 2   \n",
       "147  2014           36   5.771337        1              0                 2   \n",
       "148  2011           37   0.586107        1              0                 2   \n",
       "149  2012           37   0.586107        1              0                 2   \n",
       "150  2013           37   0.586107        1              0                 2   \n",
       "151  2014           37   0.586107        1              0                 2   \n",
       "\n",
       "     GALLONS_ALCOHOL_PER_CAP_21  BEER_TAX  PERCENT_POVERTY  MEDIAN_INCOME  \\\n",
       "0                         22331      1.05             19.1          41427   \n",
       "1                         22656      1.05             19.0          41610   \n",
       "2                         22491      1.05             18.9          42882   \n",
       "3                         22481      1.05             19.2          42917   \n",
       "4                         32713      1.07             10.8          65699   \n",
       "5                         32236      1.07             10.8          66503   \n",
       "6                         31277      1.07             10.1          70058   \n",
       "7                         31696      1.07             11.4          70898   \n",
       "8                         27228      0.16             19.0          46710   \n",
       "9                         27627      0.16             18.7          47796   \n",
       "10                        26677      0.16             18.6          48504   \n",
       "11                        26819      0.16             18.2          50036   \n",
       "12                        19519      0.24             19.3          38889   \n",
       "13                        20435      0.24             19.6          40151   \n",
       "14                        20398      0.24             19.4          40605   \n",
       "15                        20203      0.24             18.7          41335   \n",
       "16                        25718      0.20             16.6          57275   \n",
       "17                        26742      0.20             17.0          58322   \n",
       "18                        26373      0.20             16.8          60185   \n",
       "19                        26200      0.20             16.4          61927   \n",
       "20                        30797      0.08             13.4          55530   \n",
       "21                        31076      0.08             13.6          56880   \n",
       "22                        31606      0.08             12.9          58942   \n",
       "23                        31067      0.08             12.1          61324   \n",
       "24                        26710      0.24             10.8          65822   \n",
       "25                        27104      0.24             10.6          67275   \n",
       "26                        26925      0.24             10.7          67262   \n",
       "27                        26800      0.24             10.8          70007   \n",
       "28                        40172      0.16             12.6          58159   \n",
       "29                        40456      0.16             12.7          58326   \n",
       "..                          ...       ...              ...            ...   \n",
       "122                       29684      0.08             16.5          50228   \n",
       "123                       30044      0.08             16.4          51088   \n",
       "124                       25977      0.08             13.7          50221   \n",
       "125                       26390      0.08             13.7          51225   \n",
       "126                       26238      0.08             13.7          52005   \n",
       "127                       26305      0.08             13.6          53224   \n",
       "128                       23006      1.29             18.4          41691   \n",
       "129                       22535      1.29             18.0          42743   \n",
       "130                       22440      1.29             17.8          44268   \n",
       "131                       22627      1.29             18.2          44357   \n",
       "132                       26060      0.19             18.5          49390   \n",
       "133                       26133      0.19             17.9          50747   \n",
       "134                       25757      0.19             17.5          51714   \n",
       "135                       25532      0.19             17.2          53067   \n",
       "136                       31776      0.27             11.9          52033   \n",
       "137                       33253      0.27             11.9          52700   \n",
       "138                       34084      0.27             12.3          52511   \n",
       "139                       34580      0.27             12.0          54153   \n",
       "140                       23944      0.28             11.6          61877   \n",
       "141                       23952      0.28             11.8          61782   \n",
       "142                       23606      0.28             11.7          62745   \n",
       "143                       23688      0.28             11.8          64923   \n",
       "144                       33659      0.06             13.1          50401   \n",
       "145                       34159      0.06             13.2          51063   \n",
       "146                       33823      0.06             13.5          51474   \n",
       "147                       33562      0.06             13.2          52632   \n",
       "148                       30024      0.02             11.3          56044   \n",
       "149                       30778      0.02             11.9          55104   \n",
       "150                       30008      0.02             10.9          58424   \n",
       "151                       30552      0.02             11.2          58291   \n",
       "\n",
       "     PERCENT_UNINSURE  LESS_HS_P      HS_P  SOME_C_P  BACHELORS_P  GRAD_PROF_P  \n",
       "0                16.6   0.180897  0.314334  0.285068     0.139643     0.080058  \n",
       "1                15.8   0.174023  0.313100  0.290229     0.141521     0.081127  \n",
       "2                15.9   0.168852  0.310562  0.294274     0.143547     0.082766  \n",
       "3                14.2   0.162953  0.310687  0.295833     0.144587     0.085940  \n",
       "4                21.7   0.086375  0.272442  0.369075     0.176662     0.095446  \n",
       "5                22.3   0.084130  0.270973  0.370134     0.177505     0.097258  \n",
       "6                20.8   0.083634  0.273077  0.368287     0.177079     0.097924  \n",
       "7                19.0   0.081900  0.275051  0.366203     0.178704     0.098143  \n",
       "8                19.6   0.148176  0.247291  0.340564     0.168360     0.095609  \n",
       "9                20.4   0.145577  0.243979  0.344151     0.169160     0.097133  \n",
       "10               20.0   0.143056  0.245064  0.343135     0.170197     0.098547  \n",
       "11               16.1   0.141056  0.245072  0.342895     0.171268     0.099709  \n",
       "12               20.1   0.173465  0.352003  0.278698     0.130271     0.065563  \n",
       "13               19.4   0.166937  0.351238  0.283841     0.131480     0.066503  \n",
       "14               18.8   0.162692  0.350798  0.285475     0.132791     0.068245  \n",
       "15               13.8   0.157028  0.349982  0.286530     0.135028     0.071433  \n",
       "16               20.2   0.191818  0.211169  0.294672     0.192582     0.109759  \n",
       "17               20.0   0.189801  0.206846  0.298819     0.193536     0.110998  \n",
       "18               19.4   0.187580  0.207157  0.298534     0.194375     0.112353  \n",
       "19               14.1   0.185113  0.207242  0.297625     0.195872     0.114148  \n",
       "20               17.0   0.103172  0.229340  0.304557     0.232747     0.130185  \n",
       "21               16.7   0.100773  0.223595  0.308869     0.234469     0.132294  \n",
       "22               16.0   0.098276  0.221388  0.310048     0.235905     0.134382  \n",
       "23               11.7   0.096208  0.219880  0.309300     0.237353     0.137259  \n",
       "24               10.1   0.114309  0.281284  0.247303     0.201377     0.155727  \n",
       "25               10.5   0.110414  0.278551  0.249469     0.203261     0.158304  \n",
       "26               10.9   0.108196  0.277593  0.249642     0.203835     0.160734  \n",
       "27                8.0   0.104664  0.276060  0.249281     0.206331     0.163664  \n",
       "28               11.2   0.126456  0.317028  0.276797     0.166855     0.112864  \n",
       "29               10.3   0.123231  0.316354  0.275192     0.170918     0.114305  \n",
       "..                ...        ...       ...       ...          ...          ...  \n",
       "122              17.2   0.106105  0.245972  0.350890     0.187199     0.109834  \n",
       "123              11.6   0.105186  0.245435  0.348683     0.188916     0.111780  \n",
       "124              12.0   0.121028  0.375537  0.236739     0.164546     0.102150  \n",
       "125              11.7   0.117085  0.372147  0.240308     0.166197     0.104263  \n",
       "126              11.6   0.113376  0.370489  0.240716     0.168503     0.106917  \n",
       "127              10.2   0.110304  0.367517  0.241189     0.171392     0.109598  \n",
       "128              17.0   0.168184  0.332755  0.268751     0.148954     0.081356  \n",
       "129              16.2   0.161234  0.329632  0.274200     0.151694     0.083239  \n",
       "130              16.2   0.156058  0.330730  0.274774     0.153056     0.085382  \n",
       "131              14.1   0.150539  0.330769  0.274813     0.156002     0.087877  \n",
       "132              25.7   0.195739  0.256603  0.287076     0.174431     0.086151  \n",
       "133              25.2   0.192273  0.252877  0.292256     0.175141     0.087453  \n",
       "134              24.8   0.188320  0.253148  0.291995     0.177269     0.089268  \n",
       "135              21.4   0.184172  0.252350  0.292602     0.179484     0.091392  \n",
       "136               8.0   0.089917  0.316640  0.254980     0.205277     0.133185  \n",
       "137               7.9   0.087464  0.312187  0.258295     0.207282     0.134772  \n",
       "138               8.7   0.086112  0.307729  0.258061     0.210161     0.137937  \n",
       "139               6.1   0.083576  0.305799  0.258603     0.212294     0.139728  \n",
       "140              14.3   0.134065  0.256356  0.266047     0.201592     0.141939  \n",
       "141              14.2   0.130504  0.252465  0.270246     0.202661     0.144124  \n",
       "142              14.0   0.125496  0.251583  0.270847     0.205210     0.146863  \n",
       "143              12.4   0.121138  0.250080  0.271114     0.207390     0.150277  \n",
       "144              10.3   0.101934  0.336491  0.301222     0.172603     0.087750  \n",
       "145              10.4   0.098449  0.331277  0.306291     0.174702     0.089281  \n",
       "146              10.6   0.095845  0.328345  0.307582     0.177467     0.090761  \n",
       "147               8.6   0.092493  0.323815  0.309515     0.181003     0.093175  \n",
       "148              17.3   0.081287  0.304649  0.371959     0.160454     0.081651  \n",
       "149              17.3   0.079190  0.305455  0.372747     0.161713     0.080896  \n",
       "150              15.8   0.076491  0.299698  0.377063     0.164787     0.081962  \n",
       "151              14.2   0.077056  0.294103  0.377617     0.167980     0.083244  \n",
       "\n",
       "[152 rows x 16 columns]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(features, targets, train_size=0.8, random_state=52)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_split=1e-07, min_samples_leaf=1,\n",
       "           min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "           n_estimators=10000, n_jobs=1, oob_score=True, random_state=52,\n",
       "           verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rf = RandomForestRegressor(n_estimators=10000, oob_score=True, random_state=52)\n",
    "rf.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Out-of-bag R-2 score estimate: 0.695\n",
      "Test data R-2 score:  0.73\n",
      "Test data Spearman correlation: 0.9\n",
      "Test data Pearson correlation: 0.863\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import r2_score\n",
    "from scipy.stats import spearmanr, pearsonr\n",
    "predicted_train = rf.predict(X_train)\n",
    "predicted_test = rf.predict(X_test)\n",
    "test_score = r2_score(y_test, predicted_test)\n",
    "spearman = spearmanr(y_test, predicted_test)\n",
    "pearson = pearsonr(y_test, predicted_test)\n",
    "\n",
    "\n",
    "print(f'Out-of-bag R-2 score estimate: {rf.oob_score_:>5.3}')\n",
    "print(f'Test data R-2 score: {test_score:>5.3}')\n",
    "print(f'Test data Spearman correlation: {spearman[0]:.3}')\n",
    "print(f'Test data Pearson correlation: {pearson[0]:.3}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ivzd7TkQcWfX8zwH3kyZ3HUbqHjoM+HW/IjYzs37L09I/NCLmt+BcpwIXSJoJPECa1Wtm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\nTvpmZoOIk76Z2SDipG9mNoj8fxmHmiwatt/5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521353a278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y_test, predicted_test, \"o\")\n",
    "plt.ylabel('Predicteded Alcohol-involved accidents per million')\n",
    "plt.xlabel('Observed Alcohol-involved accidents per million')\n",
    "\n",
    "plt.savefig('obs_pred_test.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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PbGZTCB1KJuHM/xEK9txESJexBpjh7rkHZUUqTFz+pFyUaE+6qySdwmHAx4HfmFlf4Gbg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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521353a588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y_train, predicted_train, \"o\")\n",
    "plt.ylabel('Predicteded Alcohol-involved accidents per million')\n",
    "plt.xlabel('Observed Alcohol-involved accidents per million')\n",
    "\n",
    "plt.savefig('obs_pred_train.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature 9 (0.244870)\n",
      "2. feature 11 (0.173091)\n",
      "3. feature 2 (0.135761)\n",
      "4. feature 15 (0.103228)\n",
      "5. feature 12 (0.059745)\n",
      "6. feature 13 (0.047463)\n",
      "7. feature 14 (0.041321)\n",
      "8. feature 10 (0.039127)\n",
      "9. feature 6 (0.038314)\n",
      "10. feature 7 (0.033716)\n",
      "11. feature 1 (0.032228)\n",
      "12. feature 8 (0.029440)\n",
      "13. feature 5 (0.012827)\n",
      "14. feature 0 (0.005945)\n",
      "15. feature 3 (0.002926)\n",
      "16. feature 4 (0.000000)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f52130fff60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "importances = rf.feature_importances_\n",
    "std = np.std([tree.feature_importances_ for tree in rf.estimators_],\n",
    "             axis=0)\n",
    "indices = np.argsort(importances)[::-1]\n",
    "\n",
    "# Print the feature ranking\n",
    "print(\"Feature ranking:\")\n",
    "\n",
    "for f in range(X_train.shape[1]):\n",
    "    print(\"%d. feature %d (%f)\" % (f + 1, indices[f], importances[indices[f]]))\n",
    "\n",
    "# Plot the feature importances of the forest\n",
    "plt.figure()\n",
    "plt.title(\"Feature importances\")\n",
    "plt.bar(range(X_train.shape[1]), importances[indices],\n",
    "       color=\"r\", yerr=std[indices], align=\"center\")\n",
    "plt.xticks(range(X_train.shape[1]), indices)\n",
    "plt.xlim([-1, X_train.shape[1]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['YEAR', 'STATE_SHORT', 'POP_MIL', 'SUSPEND', 'INTERLOCK_1ST',\n",
       "       'INTERLOCK_REPEAT', 'GALLONS_ALCOHOL_PER_CAP_21', 'BEER_TAX',\n",
       "       'PERCENT_POVERTY', 'MEDIAN_INCOME', 'PERCENT_UNINSURE', 'LESS_HS_P',\n",
       "       'HS_P', 'SOME_C_P', 'BACHELORS_P', 'GRAD_PROF_P'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.24486979,  0.17309059,  0.13576079,  0.10322799,  0.05974485,\n",
       "        0.04746251,  0.04132081,  0.03912666,  0.03831385,  0.03371609,\n",
       "        0.03222822,  0.02944019,  0.01282671,  0.00594539,  0.00292556,  0.        ])"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importances[indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(range(0, 16),\n",
       " array([ 9, 11,  2, 15, 12, 13, 14, 10,  6,  7,  1,  8,  5,  0,  3,  4]))"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(X_train.shape[1]), indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['MEDIAN_INCOME', 'LESS_HS_P', 'POP_MIL', 'GRAD_PROF_P', 'HS_P',\n",
       "       'SOME_C_P', 'BACHELORS_P', 'PERCENT_UNINSURE',\n",
       "       'GALLONS_ALCOHOL_PER_CAP_21', 'BEER_TAX', 'STATE_SHORT',\n",
       "       'PERCENT_POVERTY', 'INTERLOCK_REPEAT', 'YEAR', 'SUSPEND',\n",
       "       'INTERLOCK_1ST'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features.columns[indices]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}