Anes_2016.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# American National Election Studies 2016\n",
    "\n",
    "The data was downloaded from American National Election Studies [2016 Time Series Study](https://electionstudies.org/data-center/2016-time-series-study/).\n",
    "\n",
    "\n",
    "## Study Overview\n",
    "### Study Content Highlights:\n",
    "In addition to content on electoral participation, voting behavior, and public opinion, the 2016 ANES Time Series Study contains questions in other areas such as media exposure, cognitive style, and values and predispositions. Several items first measured on the 2012 study were asked again including the ‘Big Five’ personality traits using the Ten Item Personality Inventory (TIPI), and skin tone observations made by interviewers in the face-to-face study. For the first time, ANES has collected supplemental data directly from respondents’ Facebook accounts. The Post-Election interview also included Module 5 from the Comparative Study of Electoral Systems (CSES).\n",
    "\n",
    "### Study Design Highlights:\n",
    "Data collection for the ANES 2016 Time Series Study began in early September and continued into January, 2017. Pre-election interviews were conducted with study respondents during the two months prior to the 2016 elections and were followed by post-election reinterviewing beginning November 9, 2016. As in 2012, face-to-face interviewing was complemented with data collection on the Internet. Data collection was conducted in the two modes independently, using separate samples but substantially identical questionnaires. Web-administered cases constituted a representative sample separate from the face-to-face."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', 1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_spss('data/anes_timeseries_2016.sav')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4270, 1842)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4270 entries, 0 to 4269\n",
      "Columns: 1842 entries, version to V168528\n",
      "dtypes: category(1783), float64(18), object(41)\n",
      "memory usage: 10.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>V161273</th>\n",
       "      <th>V161274a</th>\n",
       "      <th>V161274b</th>\n",
       "      <th>V161275x</th>\n",
       "      <th>V161276x</th>\n",
       "      <th>V161277</th>\n",
       "      <th>V161278</th>\n",
       "      <th>V161279</th>\n",
       "      <th>V161280a</th>\n",
       "      <th>V161280b</th>\n",
       "      <th>V161280c</th>\n",
       "      <th>V161281</th>\n",
       "      <th>V161282a</th>\n",
       "      <th>V161282b</th>\n",
       "      <th>V161283a</th>\n",
       "      <th>V161283b</th>\n",
       "      <th>V161284</th>\n",
       "      <th>V161285</th>\n",
       "      <th>V161286</th>\n",
       "      <th>V161287</th>\n",
       "      <th>V161288</th>\n",
       "      <th>V161289</th>\n",
       "      <th>V161290</th>\n",
       "      <th>V161291a</th>\n",
       "      <th>V161291b</th>\n",
       "      <th>V161292a</th>\n",
       "      <th>V161292b</th>\n",
       "      <th>V161293</th>\n",
       "      <th>V161294</th>\n",
       "      <th>V161295</th>\n",
       "      <th>V161296</th>\n",
       "      <th>V161297</th>\n",
       "      <th>V161298</th>\n",
       "      <th>V161299</th>\n",
       "      <th>V161300a</th>\n",
       "      <th>V161300b</th>\n",
       "      <th>V161300c</th>\n",
       "      <th>V161300d</th>\n",
       "      <th>V161300e</th>\n",
       "      <th>V161300f</th>\n",
       "      <th>V161300g</th>\n",
       "      <th>V161301a</th>\n",
       "      <th>V161301b</th>\n",
       "      <th>V161302</th>\n",
       "      <th>V161303</th>\n",
       "      <th>V161304</th>\n",
       "      <th>V161305a</th>\n",
       "      <th>V161305b</th>\n",
       "      <th>V161306</th>\n",
       "      <th>V161307</th>\n",
       "      <th>V161307a</th>\n",
       "      <th>V161308x</th>\n",
       "      <th>V161309</th>\n",
       "      <th>V161310a</th>\n",
       "      <th>V161310b</th>\n",
       "      <th>V161310c</th>\n",
       "      <th>V161310d</th>\n",
       "      <th>V161310e</th>\n",
       "      <th>V161310f</th>\n",
       "      <th>V161310g</th>\n",
       "      <th>V161310x</th>\n",
       "      <th>V161311</th>\n",
       "      <th>V161312a</th>\n",
       "      <th>V161313</th>\n",
       "      <th>V161314</th>\n",
       "      <th>V161314a</th>\n",
       "      <th>V161315</th>\n",
       "      <th>V161316</th>\n",
       "      <th>V161317</th>\n",
       "      <th>V161318</th>\n",
       "      <th>V161319</th>\n",
       "      <th>V161319x</th>\n",
       "      <th>V161320</th>\n",
       "      <th>V161321</th>\n",
       "      <th>V161321a</th>\n",
       "      <th>V161322</th>\n",
       "      <th>V161322a</th>\n",
       "      <th>V161323</th>\n",
       "      <th>V161324</th>\n",
       "      <th>V161325a</th>\n",
       "      <th>V161325b</th>\n",
       "      <th>V161325c</th>\n",
       "      <th>V161325d</th>\n",
       "      <th>V161325e</th>\n",
       "      <th>V161326</th>\n",
       "      <th>V161327</th>\n",
       "      <th>V161328</th>\n",
       "      <th>V161329</th>\n",
       "      <th>V161330</th>\n",
       "      <th>V161331a</th>\n",
       "      <th>V161331b</th>\n",
       "      <th>V161331x</th>\n",
       "      <th>V161332</th>\n",
       "      <th>V161333</th>\n",
       "      <th>V161334</th>\n",
       "      <th>V161335</th>\n",
       "      <th>V161335a</th>\n",
       "      <th>V161336</th>\n",
       "      <th>V161337</th>\n",
       "      <th>V161338</th>\n",
       "      <th>V161339</th>\n",
       "      <th>V161340</th>\n",
       "      <th>V161341</th>\n",
       "      <th>V161342</th>\n",
       "      <th>V161342a</th>\n",
       "      <th>V161343</th>\n",
       "      <th>V161344</th>\n",
       "      <th>V161345</th>\n",
       "      <th>V161346</th>\n",
       "      <th>V161347</th>\n",
       "      <th>V161348</th>\n",
       "      <th>V161349</th>\n",
       "      <th>V161350</th>\n",
       "      <th>V161351</th>\n",
       "      <th>V161352</th>\n",
       "      <th>V161353</th>\n",
       "      <th>V161354</th>\n",
       "      <th>V161355</th>\n",
       "      <th>V161356</th>\n",
       "      <th>V161357</th>\n",
       "      <th>V161358</th>\n",
       "      <th>V161359</th>\n",
       "      <th>V161360</th>\n",
       "      <th>...</th>\n",
       "      <th>V165738</th>\n",
       "      <th>V165739</th>\n",
       "      <th>V165740</th>\n",
       "      <th>V165741</th>\n",
       "      <th>V165742</th>\n",
       "      <th>V165743</th>\n",
       "      <th>V165744</th>\n",
       "      <th>V165745</th>\n",
       "      <th>V165746</th>\n",
       "      <th>V165747</th>\n",
       "      <th>V165748</th>\n",
       "      <th>V165749</th>\n",
       "      <th>V165750</th>\n",
       "      <th>V165751</th>\n",
       "      <th>V165752</th>\n",
       "      <th>V165753</th>\n",
       "      <th>V165754</th>\n",
       "      <th>V165755</th>\n",
       "      <th>V165756</th>\n",
       "      <th>V165757</th>\n",
       "      <th>V165758</th>\n",
       "      <th>V165759</th>\n",
       "      <th>V165760</th>\n",
       "      <th>V165761</th>\n",
       "      <th>V165762</th>\n",
       "      <th>V165763</th>\n",
       "      <th>V165764</th>\n",
       "      <th>V165765</th>\n",
       "      <th>V165766</th>\n",
       "      <th>V165767</th>\n",
       "      <th>V165768</th>\n",
       "      <th>V165769</th>\n",
       "      <th>V165770</th>\n",
       "      <th>V165771</th>\n",
       "      <th>V165772</th>\n",
       "      <th>V165773</th>\n",
       "      <th>V165774</th>\n",
       "      <th>V165775</th>\n",
       "      <th>V165776</th>\n",
       "      <th>V165777</th>\n",
       "      <th>V165778</th>\n",
       "      <th>V165779</th>\n",
       "      <th>V165780</th>\n",
       "      <th>V165781</th>\n",
       "      <th>V165782</th>\n",
       "      <th>V165783</th>\n",
       "      <th>V165784</th>\n",
       "      <th>V165785</th>\n",
       "      <th>V165786</th>\n",
       "      <th>V165787</th>\n",
       "      <th>V165788</th>\n",
       "      <th>V165789</th>\n",
       "      <th>V165790</th>\n",
       "      <th>V165791</th>\n",
       "      <th>V165792</th>\n",
       "      <th>V165793</th>\n",
       "      <th>V165794</th>\n",
       "      <th>V165795</th>\n",
       "      <th>V165796</th>\n",
       "      <th>V165797</th>\n",
       "      <th>V165798</th>\n",
       "      <th>V165799</th>\n",
       "      <th>V165800</th>\n",
       "      <th>V165801</th>\n",
       "      <th>V165802</th>\n",
       "      <th>V165803</th>\n",
       "      <th>V165804</th>\n",
       "      <th>V165805</th>\n",
       "      <th>V165806</th>\n",
       "      <th>V165807</th>\n",
       "      <th>V165808</th>\n",
       "      <th>V165809</th>\n",
       "      <th>V165810</th>\n",
       "      <th>V166001</th>\n",
       "      <th>V166002</th>\n",
       "      <th>V166003</th>\n",
       "      <th>V166004</th>\n",
       "      <th>V166005</th>\n",
       "      <th>V166006</th>\n",
       "      <th>V166007</th>\n",
       "      <th>V166008</th>\n",
       "      <th>V166009</th>\n",
       "      <th>V166010</th>\n",
       "      <th>V166011</th>\n",
       "      <th>V166012</th>\n",
       "      <th>V166013</th>\n",
       "      <th>V166014</th>\n",
       "      <th>V166015</th>\n",
       "      <th>V166016</th>\n",
       "      <th>V166017</th>\n",
       "      <th>V166018</th>\n",
       "      <th>V166019</th>\n",
       "      <th>V166020</th>\n",
       "      <th>V166021</th>\n",
       "      <th>V166022</th>\n",
       "      <th>V166023</th>\n",
       "      <th>V166024</th>\n",
       "      <th>V166025</th>\n",
       "      <th>V166026</th>\n",
       "      <th>V166027</th>\n",
       "      <th>V166028</th>\n",
       "      <th>V166029</th>\n",
       "      <th>V166030</th>\n",
       "      <th>V166031</th>\n",
       "      <th>V166032</th>\n",
       "      <th>V166033</th>\n",
       "      <th>V166034</th>\n",
       "      <th>V166035</th>\n",
       "      <th>V166036</th>\n",
       "      <th>V166037</th>\n",
       "      <th>V166038</th>\n",
       "      <th>V166039</th>\n",
       "      <th>V166040</th>\n",
       "      <th>V166041</th>\n",
       "      <th>V166042</th>\n",
       "      <th>V166043</th>\n",
       "      <th>V166044</th>\n",
       "      <th>V166045</th>\n",
       "      <th>V166046</th>\n",
       "      <th>V166047</th>\n",
       "      <th>V166048</th>\n",
       "      <th>V166049</th>\n",
       "      <th>V166050</th>\n",
       "      <th>V166051</th>\n",
       "      <th>V166052</th>\n",
       "      <th>V166053</th>\n",
       "      <th>V166054</th>\n",
       "      <th>V166055</th>\n",
       "      <th>V166056</th>\n",
       "      <th>V166057</th>\n",
       "      <th>V166058</th>\n",
       "      <th>V166059</th>\n",
       "      <th>V166060</th>\n",
       "      <th>V166061</th>\n",
       "      <th>V166062</th>\n",
       "      <th>V166063</th>\n",
       "      <th>V166064</th>\n",
       "      <th>V166065</th>\n",
       "      <th>V166066</th>\n",
       "      <th>V166067</th>\n",
       "      <th>V166068</th>\n",
       "      <th>V166069</th>\n",
       "      <th>V166070</th>\n",
       "      <th>V166071</th>\n",
       "      <th>V166072</th>\n",
       "      <th>V166073</th>\n",
       "      <th>V166074</th>\n",
       "      <th>V166075</th>\n",
       "      <th>V166076</th>\n",
       "      <th>V166077</th>\n",
       "      <th>V166078</th>\n",
       "      <th>V166079</th>\n",
       "      <th>V166080</th>\n",
       "      <th>V166081</th>\n",
       "      <th>V166082</th>\n",
       "      <th>V166083</th>\n",
       "      <th>V166084</th>\n",
       "      <th>V166085</th>\n",
       "      <th>V166086</th>\n",
       "      <th>V166087</th>\n",
       "      <th>V166088</th>\n",
       "      <th>V166089</th>\n",
       "      <th>V166090</th>\n",
       "      <th>V166091</th>\n",
       "      <th>V166092</th>\n",
       "      <th>V166093</th>\n",
       "      <th>V166094</th>\n",
       "      <th>V166095</th>\n",
       "      <th>V166096</th>\n",
       "      <th>V166097</th>\n",
       "      <th>V166098</th>\n",
       "      <th>V166099</th>\n",
       "      <th>V166100</th>\n",
       "      <th>V166101</th>\n",
       "      <th>V166102</th>\n",
       "      <th>V166103</th>\n",
       "      <th>V166104</th>\n",
       "      <th>V166105</th>\n",
       "      <th>V166106</th>\n",
       "      <th>V166107</th>\n",
       "      <th>V166108</th>\n",
       "      <th>V166109</th>\n",
       "      <th>V166110</th>\n",
       "      <th>V166111</th>\n",
       "      <th>V166112</th>\n",
       "      <th>V166113</th>\n",
       "      <th>V166114</th>\n",
       "      <th>V166115</th>\n",
       "      <th>V166116</th>\n",
       "      <th>V166117</th>\n",
       "      <th>V166118</th>\n",
       "      <th>V166119</th>\n",
       "      <th>V166120</th>\n",
       "      <th>V166121</th>\n",
       "      <th>V166122</th>\n",
       "      <th>V166123</th>\n",
       "      <th>V166124</th>\n",
       "      <th>V166125</th>\n",
       "      <th>V166126</th>\n",
       "      <th>V166127</th>\n",
       "      <th>V166128</th>\n",
       "      <th>V166129</th>\n",
       "      <th>V166130</th>\n",
       "      <th>V166131</th>\n",
       "      <th>V166132</th>\n",
       "      <th>V166133</th>\n",
       "      <th>V166134</th>\n",
       "      <th>V166135</th>\n",
       "      <th>V166136</th>\n",
       "      <th>V166137</th>\n",
       "      <th>V166138</th>\n",
       "      <th>V166139</th>\n",
       "      <th>V166140</th>\n",
       "      <th>V166141</th>\n",
       "      <th>V166142</th>\n",
       "      <th>V166143</th>\n",
       "      <th>V166144</th>\n",
       "      <th>V166145</th>\n",
       "      <th>V166146</th>\n",
       "      <th>V166147</th>\n",
       "      <th>V166148</th>\n",
       "      <th>V166149</th>\n",
       "      <th>V166150</th>\n",
       "      <th>V166151</th>\n",
       "      <th>V166152</th>\n",
       "      <th>V166153</th>\n",
       "      <th>V166154</th>\n",
       "      <th>V166155</th>\n",
       "      <th>V166156</th>\n",
       "      <th>V166157</th>\n",
       "      <th>V166158</th>\n",
       "      <th>V166159</th>\n",
       "      <th>V166160</th>\n",
       "      <th>V166161</th>\n",
       "      <th>V166162</th>\n",
       "      <th>V166163</th>\n",
       "      <th>V166164</th>\n",
       "      <th>V166165</th>\n",
       "      <th>V166166</th>\n",
       "      <th>V166167</th>\n",
       "      <th>V166168</th>\n",
       "      <th>V166169</th>\n",
       "      <th>V166170</th>\n",
       "      <th>V166171</th>\n",
       "      <th>V166172</th>\n",
       "      <th>V166173</th>\n",
       "      <th>V166174</th>\n",
       "      <th>V166175</th>\n",
       "      <th>V166176</th>\n",
       "      <th>V166177</th>\n",
       "      <th>V166178</th>\n",
       "      <th>V166179</th>\n",
       "      <th>V166180</th>\n",
       "      <th>V166181</th>\n",
       "      <th>V166182</th>\n",
       "      <th>V166183</th>\n",
       "      <th>V166184</th>\n",
       "      <th>V166185</th>\n",
       "      <th>V166186</th>\n",
       "      <th>V166187</th>\n",
       "      <th>V166188</th>\n",
       "      <th>V166189</th>\n",
       "      <th>V166190</th>\n",
       "      <th>V166191</th>\n",
       "      <th>V166192</th>\n",
       "      <th>V166193</th>\n",
       "      <th>V166194</th>\n",
       "      <th>V166195</th>\n",
       "      <th>V166196</th>\n",
       "      <th>V166197</th>\n",
       "      <th>V166198</th>\n",
       "      <th>V166199</th>\n",
       "      <th>V166200</th>\n",
       "      <th>V166201</th>\n",
       "      <th>V166202</th>\n",
       "      <th>V166203</th>\n",
       "      <th>V166204</th>\n",
       "      <th>V166205</th>\n",
       "      <th>V166206</th>\n",
       "      <th>V166207</th>\n",
       "      <th>V166208</th>\n",
       "      <th>V166209</th>\n",
       "      <th>V166210</th>\n",
       "      <th>V166211</th>\n",
       "      <th>V166212</th>\n",
       "      <th>V166213</th>\n",
       "      <th>V166214</th>\n",
       "      <th>V166215</th>\n",
       "      <th>V166216</th>\n",
       "      <th>V166217</th>\n",
       "      <th>V166218</th>\n",
       "      <th>V166219</th>\n",
       "      <th>V166220</th>\n",
       "      <th>V166221</th>\n",
       "      <th>V166222</th>\n",
       "      <th>V166223</th>\n",
       "      <th>V166224</th>\n",
       "      <th>V166225</th>\n",
       "      <th>V166226</th>\n",
       "      <th>V166227</th>\n",
       "      <th>V166228</th>\n",
       "      <th>V166229</th>\n",
       "      <th>V166230</th>\n",
       "      <th>V166231</th>\n",
       "      <th>V167500</th>\n",
       "      <th>V167501</th>\n",
       "      <th>V167502</th>\n",
       "      <th>V167503</th>\n",
       "      <th>V167504</th>\n",
       "      <th>V167505</th>\n",
       "      <th>V167506</th>\n",
       "      <th>V167507</th>\n",
       "      <th>V167508</th>\n",
       "      <th>V167509</th>\n",
       "      <th>V167510</th>\n",
       "      <th>V167511</th>\n",
       "      <th>V167512</th>\n",
       "      <th>V167513</th>\n",
       "      <th>V167514</th>\n",
       "      <th>V167515</th>\n",
       "      <th>V167516</th>\n",
       "      <th>V167517</th>\n",
       "      <th>V167518</th>\n",
       "      <th>V167519</th>\n",
       "      <th>V167520</th>\n",
       "      <th>V167521</th>\n",
       "      <th>V167522</th>\n",
       "      <th>V167523</th>\n",
       "      <th>V167524</th>\n",
       "      <th>V167525</th>\n",
       "      <th>V167526</th>\n",
       "      <th>V167527</th>\n",
       "      <th>V167528</th>\n",
       "      <th>V167529</th>\n",
       "      <th>V167530</th>\n",
       "      <th>V167531</th>\n",
       "      <th>V167532</th>\n",
       "      <th>V167533</th>\n",
       "      <th>V167534</th>\n",
       "      <th>V167535</th>\n",
       "      <th>V167536</th>\n",
       "      <th>V167537</th>\n",
       "      <th>V167538</th>\n",
       "      <th>V167539</th>\n",
       "      <th>V167540</th>\n",
       "      <th>V167541</th>\n",
       "      <th>V167542</th>\n",
       "      <th>V167543</th>\n",
       "      <th>V167544</th>\n",
       "      <th>V167545</th>\n",
       "      <th>V167546</th>\n",
       "      <th>V167547</th>\n",
       "      <th>V167548</th>\n",
       "      <th>V167549</th>\n",
       "      <th>V167550</th>\n",
       "      <th>V167551</th>\n",
       "      <th>V167552</th>\n",
       "      <th>V167553</th>\n",
       "      <th>V167554</th>\n",
       "      <th>V167555</th>\n",
       "      <th>V167556</th>\n",
       "      <th>V167557</th>\n",
       "      <th>V167558</th>\n",
       "      <th>V168000</th>\n",
       "      <th>V168001</th>\n",
       "      <th>V168002</th>\n",
       "      <th>V168003</th>\n",
       "      <th>V168004</th>\n",
       "      <th>V168005</th>\n",
       "      <th>V168006</th>\n",
       "      <th>V168007</th>\n",
       "      <th>V168008</th>\n",
       "      <th>V168009</th>\n",
       "      <th>V168010</th>\n",
       "      <th>V168011</th>\n",
       "      <th>V168012</th>\n",
       "      <th>V168013</th>\n",
       "      <th>V168014</th>\n",
       "      <th>V168015</th>\n",
       "      <th>V168016</th>\n",
       "      <th>V168017</th>\n",
       "      <th>V168018</th>\n",
       "      <th>V168019</th>\n",
       "      <th>V168020</th>\n",
       "      <th>V168021</th>\n",
       "      <th>V168022</th>\n",
       "      <th>V168023</th>\n",
       "      <th>V168024</th>\n",
       "      <th>V168025</th>\n",
       "      <th>V168026</th>\n",
       "      <th>V168027</th>\n",
       "      <th>V168028</th>\n",
       "      <th>V168029</th>\n",
       "      <th>V168030</th>\n",
       "      <th>V168031</th>\n",
       "      <th>V168032</th>\n",
       "      <th>V168033</th>\n",
       "      <th>V168034</th>\n",
       "      <th>V168035</th>\n",
       "      <th>V168036</th>\n",
       "      <th>V168037</th>\n",
       "      <th>V168038</th>\n",
       "      <th>V168039</th>\n",
       "      <th>V168040</th>\n",
       "      <th>V168100</th>\n",
       "      <th>V168101</th>\n",
       "      <th>V168102</th>\n",
       "      <th>V168103</th>\n",
       "      <th>V168104</th>\n",
       "      <th>V168105</th>\n",
       "      <th>V168106</th>\n",
       "      <th>V168107</th>\n",
       "      <th>V168108</th>\n",
       "      <th>V168109</th>\n",
       "      <th>V168110</th>\n",
       "      <th>V168111</th>\n",
       "      <th>V168112</th>\n",
       "      <th>V168113</th>\n",
       "      <th>V168114</th>\n",
       "      <th>V168115</th>\n",
       "      <th>V168116</th>\n",
       "      <th>V168117</th>\n",
       "      <th>V168118</th>\n",
       "      <th>V168119</th>\n",
       "      <th>V168120</th>\n",
       "      <th>V168121</th>\n",
       "      <th>V168122</th>\n",
       "      <th>V168123</th>\n",
       "      <th>V168124</th>\n",
       "      <th>V168125</th>\n",
       "      <th>V168126</th>\n",
       "      <th>V168127</th>\n",
       "      <th>V168128</th>\n",
       "      <th>V168129</th>\n",
       "      <th>V168130</th>\n",
       "      <th>V168131</th>\n",
       "      <th>V168132</th>\n",
       "      <th>V168250</th>\n",
       "      <th>V168251</th>\n",
       "      <th>V168252</th>\n",
       "      <th>V168253</th>\n",
       "      <th>V168254</th>\n",
       "      <th>V168255</th>\n",
       "      <th>V168256</th>\n",
       "      <th>V168257</th>\n",
       "      <th>V168258</th>\n",
       "      <th>V168259</th>\n",
       "      <th>V168260</th>\n",
       "      <th>V168261</th>\n",
       "      <th>V168262</th>\n",
       "      <th>V168263</th>\n",
       "      <th>V168264</th>\n",
       "      <th>V168265</th>\n",
       "      <th>V168266</th>\n",
       "      <th>V168300</th>\n",
       "      <th>V168301</th>\n",
       "      <th>V168302</th>\n",
       "      <th>V168303</th>\n",
       "      <th>V168304</th>\n",
       "      <th>V168305</th>\n",
       "      <th>V168306</th>\n",
       "      <th>V168307</th>\n",
       "      <th>V168308</th>\n",
       "      <th>V168309</th>\n",
       "      <th>V168310</th>\n",
       "      <th>V168311</th>\n",
       "      <th>V168312</th>\n",
       "      <th>V168313</th>\n",
       "      <th>V168314</th>\n",
       "      <th>V168315</th>\n",
       "      <th>V168316</th>\n",
       "      <th>V168500</th>\n",
       "      <th>V168501</th>\n",
       "      <th>V168502</th>\n",
       "      <th>V168503</th>\n",
       "      <th>V168504</th>\n",
       "      <th>V168505</th>\n",
       "      <th>V168506</th>\n",
       "      <th>V168507</th>\n",
       "      <th>V168508</th>\n",
       "      <th>V168509</th>\n",
       "      <th>V168510</th>\n",
       "      <th>V168511</th>\n",
       "      <th>V168512</th>\n",
       "      <th>V168513</th>\n",
       "      <th>V168514</th>\n",
       "      <th>V168515</th>\n",
       "      <th>V168516</th>\n",
       "      <th>V168517</th>\n",
       "      <th>V168518</th>\n",
       "      <th>V168519</th>\n",
       "      <th>V168520</th>\n",
       "      <th>V168521</th>\n",
       "      <th>V168522</th>\n",
       "      <th>V168523</th>\n",
       "      <th>V168524</th>\n",
       "      <th>V168525</th>\n",
       "      <th>V168526</th>\n",
       "      <th>V168527</th>\n",
       "      <th>V168528</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1383</th>\n",
       "      <td>ANES2016TimeSeries_20190904</td>\n",
       "      <td>2204.0</td>\n",
       "      <td>400532.0</td>\n",
       "      <td>2.2233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.1716</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>0. Pre interview completed- no completed Post ...</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>2. Most of the time</td>\n",
       "      <td>1. Very much interested</td>\n",
       "      <td>1. Yes, voted</td>\n",
       "      <td>2. Mitt Romney</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>7. Seven days</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Democratic candidate names 1st  /FTF yellow...</td>\n",
       "      <td>1. Sample address preloaded</td>\n",
       "      <td>1. Candidate names preloaded for location of s...</td>\n",
       "      <td>18. Indiana</td>\n",
       "      <td>IN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1. Registered at this address</td>\n",
       "      <td>-1. INAP, FTF mode /WEB: 1,2,3 in V161011</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1 in V161013a /1,3 in V161011 /FTF: ...</td>\n",
       "      <td>1. State of registration same as state of samp...</td>\n",
       "      <td>18. Indiana</td>\n",
       "      <td>1. Senate race in state of registration</td>\n",
       "      <td>1. Governor race in state of registration</td>\n",
       "      <td>0. No party registration in state of registration</td>\n",
       "      <td>-1. Inap, 2 in V161011 and 0 in V161015a /2 in...</td>\n",
       "      <td>3. 5 years or more</td>\n",
       "      <td>1. RESTRICTED: Recorded, two words that appear...</td>\n",
       "      <td>-1. Inap, 0 in V161015e /3 in V161011 /FTF: -8...</td>\n",
       "      <td>-1. Inap, 1,2 in V161011 /WEB: 1,-9 in V161011a</td>\n",
       "      <td>1. Yes, voted in primary or caucus</td>\n",
       "      <td>4. Donald Trump</td>\n",
       "      <td>2. Have not voted</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161022 /3 in V161011 /FT...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161022 /2 in V161022a /3...</td>\n",
       "      <td>3. Registered but did not vote early (or DK /R...</td>\n",
       "      <td>-1. Inap, 2 in V161016 /0 in V161015a /Web mode</td>\n",
       "      <td>-1. Inap, 2 in V161016 /0 in V161015a /Web mode</td>\n",
       "      <td>2. Use Ballot Card /preload names - R register...</td>\n",
       "      <td>-1. Inap, 1-3 in V161024x</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161026 /1-3 in V161024x</td>\n",
       "      <td>-1. Inap, -8,-9 in V161027 /2,-8,-9 in V161026...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Donald Trump</td>\n",
       "      <td>1. Strong</td>\n",
       "      <td>-1. Inap, 2,3,4 in V161024x /WEB: 1 in V161011...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161033 /2,3,4 in V161024...</td>\n",
       "      <td>-1. Inap, -8,-9 in V161034 /2,-8,-9 in V161033...</td>\n",
       "      <td>-1. Inap, 2,3,5,6,7 in V161025x</td>\n",
       "      <td>-1. Inap, 1 in V161025x and 2,-8,-9 in V161036...</td>\n",
       "      <td>-1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V1...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Republican House candidate</td>\n",
       "      <td>-1. Inap 2 in V161025x, 1 in V161039 and 1,2,3...</td>\n",
       "      <td>-1. Inap, 1,2,4,5,7 in V161025x /3 in V161025x...</td>\n",
       "      <td>-1. Inap, 3 in V161025x and 2,-8,-9 in V161042...</td>\n",
       "      <td>-1. Inap 2,-8,-9 in V161042 and 3,6 in V161025...</td>\n",
       "      <td>31. Senate and Governor races- registration st...</td>\n",
       "      <td>-1. Inap,1,4 in V161025x and 01,21 in V161045x...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161046 /1 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161046 /4 in V161025x an...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>1. Democratic Senate candidate</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161049 /5 in V161025x an...</td>\n",
       "      <td>-1. Inap, 3,6 in V161025x and 00,20 in V161045...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161052 /3 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161052 /6 in V161025x an...</td>\n",
       "      <td>-1. Inap, 1,4 in V161025x and 01,11 in V161045...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161055 /1 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161055 /4 in V161025x an...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Republican Governor candidate</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161058 /5 in V161025x an...</td>\n",
       "      <td>-1. Inap, 3,6 in V161025x and 00,10 in V161945...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161061 /3 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161061 /6 in V161025x an...</td>\n",
       "      <td>21. Republican Presidential candidate: intend ...</td>\n",
       "      <td>21. Republican House candidate: intend to vote...</td>\n",
       "      <td>20. Democratic Senate candidate: intend to vot...</td>\n",
       "      <td>21. Republican Gubernatorial candidate: intend...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Wrong track</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>4. Somewhat worse off</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>-1. INAP, 2,3,-8,-9 in V161113</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>4. Fair</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>2. Some of the time</td>\n",
       "      <td>7. Extremely conservative</td>\n",
       "      <td>-1. INAP, 1,2,3,5,6,7 in V161126</td>\n",
       "      <td>1. Extremely liberal</td>\n",
       "      <td>6. Conservative</td>\n",
       "      <td>1. Extremely liberal</td>\n",
       "      <td>6. Conservative</td>\n",
       "      <td>20. Assigned to late placement - nonvoter (PLA...</td>\n",
       "      <td>-1. INAP, voter (11 in V161132) /late placemen...</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>1. Better when one party controls both</td>\n",
       "      <td>1. Larger</td>\n",
       "      <td>2. Somewhat</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161137</td>\n",
       "      <td>2. Somewhat larger</td>\n",
       "      <td>5. Very bad</td>\n",
       "      <td>3. Gotten worse</td>\n",
       "      <td>2. Somewhat</td>\n",
       "      <td>4. Somewhat worse</td>\n",
       "      <td>3. Get worse</td>\n",
       "      <td>1. Much</td>\n",
       "      <td>5. Get much worse</td>\n",
       "      <td>3. Worse</td>\n",
       "      <td>1. Much</td>\n",
       "      <td>5. Much worse</td>\n",
       "      <td>1. More</td>\n",
       "      <td>2. Republicans</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>2. Donald Trump</td>\n",
       "      <td>2. Win by quite a bit</td>\n",
       "      <td>2. Donald Trump</td>\n",
       "      <td>2. Win by quite a bit</td>\n",
       "      <td>-1. INAP, selected for version 1B of question</td>\n",
       "      <td>2. Mainly a duty</td>\n",
       "      <td>2. Moderately strongly</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161150a or 2,3,-8,-9 i...</td>\n",
       "      <td>2. Moderately strongly feel that voting is a duty</td>\n",
       "      <td>1. Weaker</td>\n",
       "      <td>2. Disagree</td>\n",
       "      <td>2. Very willing</td>\n",
       "      <td>2. Republican</td>\n",
       "      <td>-1. INAP, 0,1,2,3,-8,-9 in V161155</td>\n",
       "      <td>1. Strong</td>\n",
       "      <td>-1. INAP, 1,2 in V161155 /-9 in V161155 (FTF O...</td>\n",
       "      <td>7. Strong Republican</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>4. Slightly well</td>\n",
       "      <td>2. Very well</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>2. Very well</td>\n",
       "      <td>2. Very well</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>1. Compromises to get things done</td>\n",
       "      <td>1. Entirely by voters</td>\n",
       "      <td>1. Adequate job</td>\n",
       "      <td>4. A little</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>2. Wait until next year for the new President ...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7. Govt should provide many more services</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7. Govt should increase defense spending</td>\n",
       "      <td>1. Govt should decrease defense spending</td>\n",
       "      <td>7. Govt should increase defense spending</td>\n",
       "      <td>7. Private insurance plan</td>\n",
       "      <td>1. Govt insurance plan</td>\n",
       "      <td>7. Private insurance plan</td>\n",
       "      <td>3. Keep these rules about the same</td>\n",
       "      <td>2. Very important</td>\n",
       "      <td>7. Govt should let each person get ahead on own</td>\n",
       "      <td>1. Govt should see to jobs and standard of living</td>\n",
       "      <td>7. Govt should let each person get ahead on own</td>\n",
       "      <td>3. Allow to remain and eventually qualify for ...</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>2. Should be allowed to live and work in the U.S.</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>5. Should allow to stay - favor a moderate amount</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Favor a great deal</td>\n",
       "      <td>1. Very important</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1. Regulate business to protect the environmen...</td>\n",
       "      <td>7. No regulation because it will not work and ...</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>-1. INAP, 2,3,-8,-9 in V161204</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>3. Kept the same</td>\n",
       "      <td>3. Kept the same</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>2. Favor a moderate amount</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>4. Some of the time</td>\n",
       "      <td>1. Run by a few big interests</td>\n",
       "      <td>1. Waste a lot</td>\n",
       "      <td>3. About half</td>\n",
       "      <td>4. Some of the time</td>\n",
       "      <td>2. Some</td>\n",
       "      <td>1. Has probably been happening</td>\n",
       "      <td>1. Mostly by human activity</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>3. Is currently doing the right amount</td>\n",
       "      <td>-1. INAP, 3,-8,-9 in V161224</td>\n",
       "      <td>4. Currently doing the right amount</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>2. Favor a moderate amount</td>\n",
       "      <td>1. Should be allowed to refuse</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>1. Feel very strongly- should be allowed to re...</td>\n",
       "      <td>1. Have to use the bathrooms of the gender the...</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>1. Feel very strongly- bathroom of the gender ...</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Oppose strongly</td>\n",
       "      <td>2. No</td>\n",
       "      <td>3. There should be no legal recognition of a g...</td>\n",
       "      <td>1. By law, abortion should never be permitted.</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Favor strongly</td>\n",
       "      <td>2. Less secure</td>\n",
       "      <td>2. Worse</td>\n",
       "      <td>2. Somewhat</td>\n",
       "      <td>4. Somewhat worse</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>1. Extremely likely</td>\n",
       "      <td>35.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>1. Important</td>\n",
       "      <td>3. A great deal</td>\n",
       "      <td>1. The Bible is the actual word of God and is ...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Almost every week</td>\n",
       "      <td>-1. INAP, 2-5,-8,-9 in V161245 /2,-8,-9 in V16...</td>\n",
       "      <td>-1. INAP, 1 in V161244 and 1-4,-8,-9 in V161245</td>\n",
       "      <td>1. Protestant</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V1...</td>\n",
       "      <td>22. Non-denominational - Protestant</td>\n",
       "      <td>-1. INAP, 2-30,95,-8,-9 in V161248 /2,3,-8,-9 ...</td>\n",
       "      <td>-1. INAP, 1-5,-8,-9 in V161249 /2-30,95,-8,-9 ...</td>\n",
       "      <td>-1. INAP, 1,2,4-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-3,5-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-5,7-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-6,8-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-7,9-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-9,11-30,95,-8,-9 in V161248 /2,3,-...</td>\n",
       "      <td>-1. INAP, 1-11,13-30,95,-8,-9 in V161248 /2,3,...</td>\n",
       "      <td>-1. INAP, 1-14,16-30,95,-8,-9 in V161248 /2,3,...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, 1-30,-8,-9 in V161248 /2,3,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161247a /2,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V16124...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>010. Protestant, NFS, other, unknown, inter-, ...</td>\n",
       "      <td>5. Undifferentiated Christian</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1952.0</td>\n",
       "      <td>10. Age group 60-64</td>\n",
       "      <td>1. Married: spouse present</td>\n",
       "      <td>-1. INAP, 1 in V161268 /2,-8,-9 in V161268 (FT...</td>\n",
       "      <td>9. High school graduate- high school diploma o...</td>\n",
       "      <td>1. Graduation from high school</td>\n",
       "      <td>9. High school graduate- high school diploma o...</td>\n",
       "      <td>1. Graduation from high school</td>\n",
       "      <td>0. Have never served on active duty</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>10. Working now only</td>\n",
       "      <td>1. R working now (if also retired, disabled, h...</td>\n",
       "      <td>1. Initial employment status: working now</td>\n",
       "      <td>-1. INAP, 1-6,-9 in V161277</td>\n",
       "      <td>-1. INAP 1,-8,-9 in V161278 /1-6,-9 in V161277</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP 1-4,6-8,-9 in V161277</td>\n",
       "      <td>-1. INAP, 1,2,5,7,8,-9 in V161277</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161281 /2,-8,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 3,-8,-9 in V161284 /2,-8,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161281 /1,2,7,8,-9 in V161277</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161286 /2,-9 in V161281 ...</td>\n",
       "      <td>-1. INAP, 2 in V161281 and 6 in V161277 /-8,-9...</td>\n",
       "      <td>-1. INAP, 1 in V161288 /-8,-9 in V161288 (FTF ...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161289 /1,-8,-9 in V1612...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>53. Other Personal Care and Service Workers</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>91. Private Households examples</td>\n",
       "      <td>3. Self-employed</td>\n",
       "      <td>-1. INAP, 3,-8,-9 in V161293 /2,-8,-9 in V1612...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2. Fewer</td>\n",
       "      <td>2. A little</td>\n",
       "      <td>2. No</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161302</td>\n",
       "      <td>-1. INAP, selected for 2-question version of s...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161304 /selected for 2-q...</td>\n",
       "      <td>-1. INAP, 1,-9 in V161304 /selected for 2-ques...</td>\n",
       "      <td>-1. INAP, 0,3,4,5,7,-8,-9 in V161305b /0,3,4,5...</td>\n",
       "      <td>3. Middle class</td>\n",
       "      <td>3. Upper middle class</td>\n",
       "      <td>-2. Coded summary will be available in future ...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>-1. 0,-8,-9 in V161310f</td>\n",
       "      <td>1. White, non-Hispanic</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, Web mode</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Both parents born in the U.S.</td>\n",
       "      <td>1. A U.S. state or D.C.</td>\n",
       "      <td>0. None</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>7. Not Hispanic</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161309</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>-1. INAP, 1,-8,-9 in V161316</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>-1. INAP, 1,2,3,-8,-9 in V161316</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161309</td>\n",
       "      <td>0. No children</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>3. Both landline and cell service</td>\n",
       "      <td>1. Yes, have a cell phone</td>\n",
       "      <td>1. Yes, have a smartphone</td>\n",
       "      <td>18. Indiana</td>\n",
       "      <td>40. 40 years or more</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40. 40 years or more</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>2. Pay mortgage</td>\n",
       "      <td>1. Have changed name</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Have a non-expired driver's license</td>\n",
       "      <td>2. Do not have one</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V1...</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>3. A moderate amount</td>\n",
       "      <td>1. Not at all</td>\n",
       "      <td>3. Not a feminist</td>\n",
       "      <td>5. Not at all</td>\n",
       "      <td>-1. INAP, 5,-9 in V161346</td>\n",
       "      <td>3. Somewhat well</td>\n",
       "      <td>2. Very important</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161352 /not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161353 /1,-9 in V161352 /no...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161353 /1,-9 in V161352 /no...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161352 /not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161356  /2,-9 in V161352 /n...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161356  /2,-9 in V161352 /n...</td>\n",
       "      <td>-1. INAP, 1,-9 in V161358 /2,-9 in V161356  /2...</td>\n",
       "      <td>-1. INAP,2,-9 in V161358 /2,-9 in V161356  /2,...</td>\n",
       "      <td>...</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>3. 3 eligible U.S. citizen adults</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Screener R selected or no eligible person ...</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>3. Screener R selected: More than 1 U.S. citiz...</td>\n",
       "      <td>1. Screener R selected for Pre</td>\n",
       "      <td>2. Reverse order (selected questions)</td>\n",
       "      <td>1. Democratic cand names first (yellow ballot ...</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>2. Mike Pence</td>\n",
       "      <td>4. Barack Obama</td>\n",
       "      <td>3. Gary Johnson</td>\n",
       "      <td>5. Bill Clinton</td>\n",
       "      <td>6. Jill Stein</td>\n",
       "      <td>1. Tim Kaine</td>\n",
       "      <td>8. Afraid (Trump)</td>\n",
       "      <td>7. Hopeful (Trump)</td>\n",
       "      <td>9. Proud (Trump)</td>\n",
       "      <td>10. Disgusted (Trump)</td>\n",
       "      <td>6. Angry (Trump)</td>\n",
       "      <td>3. Afraid (Clinton)</td>\n",
       "      <td>2. Hopeful (Clinton)</td>\n",
       "      <td>4. Proud (Clinton)</td>\n",
       "      <td>5. Disgusted (Clinton)</td>\n",
       "      <td>1. Angry (Clinton)</td>\n",
       "      <td>8. Knowledgeable (Trump)</td>\n",
       "      <td>6. Strong leadership (Trump)</td>\n",
       "      <td>7. Really cares (Trump)</td>\n",
       "      <td>9. Honest (Trump)</td>\n",
       "      <td>10. Speaks mind (Trump)</td>\n",
       "      <td>3. Knowledgeable (Clinton)</td>\n",
       "      <td>1. Strong leadership (Clinton)</td>\n",
       "      <td>2. Really cares (Clinton)</td>\n",
       "      <td>4. Honest (Clinton)</td>\n",
       "      <td>5. Speaks mind (Clinton)</td>\n",
       "      <td>1. Social Security</td>\n",
       "      <td>4. Dealing with crime</td>\n",
       "      <td>2. Public schools</td>\n",
       "      <td>7. Aid to the poor</td>\n",
       "      <td>6. Child care</td>\n",
       "      <td>5. Welfare programs</td>\n",
       "      <td>3. Science and technology</td>\n",
       "      <td>8. Protecting the environment</td>\n",
       "      <td>2. Version 1B</td>\n",
       "      <td>2. Selected for 2 question set</td>\n",
       "      <td>2. Rep /Dem</td>\n",
       "      <td>2. Rep /Dem</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Dem Party /Rep Party</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>1. Dem Party /Rep Party</td>\n",
       "      <td>2. Rep Party /Dem Party</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>-2. Missing</td>\n",
       "      <td>-2. Missing</td>\n",
       "      <td>-2. Missing</td>\n",
       "      <td>-2. Missing</td>\n",
       "      <td>2. All In with Chris Hayes</td>\n",
       "      <td>15. The Simpsons</td>\n",
       "      <td>38. Hawaii Five-O</td>\n",
       "      <td>45. The Late Show with Stephen Colbert</td>\n",
       "      <td>8. Jimmy Kimmel Live</td>\n",
       "      <td>19. CBS This Morning</td>\n",
       "      <td>40. Nancy Grace</td>\n",
       "      <td>33. ABC World News with David Muir</td>\n",
       "      <td>16. Today</td>\n",
       "      <td>35. Conan</td>\n",
       "      <td>47. The Tonight Show Starring Jimmy Fallon</td>\n",
       "      <td>13. Sunday Night Football</td>\n",
       "      <td>41. Erin Burnett OutFront</td>\n",
       "      <td>17. 60 Minutes</td>\n",
       "      <td>6. Empire</td>\n",
       "      <td>28. On the Record with Greta Van Susteren</td>\n",
       "      <td>22. House of Cards</td>\n",
       "      <td>1. 20 /20</td>\n",
       "      <td>30. The Rachel Maddow Show</td>\n",
       "      <td>5. Criminal Minds</td>\n",
       "      <td>44. The Big Bang Theory</td>\n",
       "      <td>9. The Kelly File</td>\n",
       "      <td>25. Meet the Press</td>\n",
       "      <td>14. Scorpion</td>\n",
       "      <td>39. Madam Secretary</td>\n",
       "      <td>37. Good Morning America</td>\n",
       "      <td>43. Scandal</td>\n",
       "      <td>29. Daredevil</td>\n",
       "      <td>32. The Voice</td>\n",
       "      <td>26. Game of Thrones</td>\n",
       "      <td>4. CBS Evening News with Scott Pelley</td>\n",
       "      <td>27. NBC Nightly News with Lester Holt</td>\n",
       "      <td>46. The O'Reilly Factor</td>\n",
       "      <td>3. The Blacklist</td>\n",
       "      <td>21. Face the Nation</td>\n",
       "      <td>12. The Nightly Show with Larry Wilmore</td>\n",
       "      <td>10. Modern Family</td>\n",
       "      <td>7. Hannity</td>\n",
       "      <td>24. Judge Judy</td>\n",
       "      <td>11. NCIS</td>\n",
       "      <td>18. Anderson Cooper 360</td>\n",
       "      <td>23. Hardball with Chris Matthews</td>\n",
       "      <td>42. PBS News Hour</td>\n",
       "      <td>34. Blue Bloods</td>\n",
       "      <td>36. Dateline NBC</td>\n",
       "      <td>48. Alpha House</td>\n",
       "      <td>20. Dancing with the Stars</td>\n",
       "      <td>31. Shark Tank</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>5. CBS News (cbsnews.com)</td>\n",
       "      <td>7. Buzzfeed.com</td>\n",
       "      <td>4. Huffington Post (huffingtonpost.com)</td>\n",
       "      <td>15. ABC News (abcnews.com)</td>\n",
       "      <td>1. Yahoo News (yahoo.com /news)</td>\n",
       "      <td>2. CNN.com</td>\n",
       "      <td>14. The Guardian (theguardian.com)</td>\n",
       "      <td>13. BBC News (news.bbc.co.uk)</td>\n",
       "      <td>6. USA Today (usatoday.com)</td>\n",
       "      <td>9. Fox News (foxnews.com)</td>\n",
       "      <td>12. Business Insider (businessinsider.com)</td>\n",
       "      <td>11. Washington Post (washingtonpost.com)</td>\n",
       "      <td>10. Mail Online  /Daily Mail (dailymail.co.uk)</td>\n",
       "      <td>3. NBC News (nbcnews.com)</td>\n",
       "      <td>8. Mention New York Times (nytimes.com)</td>\n",
       "      <td>15. Restricted #11</td>\n",
       "      <td>7. Restricted #3</td>\n",
       "      <td>6. Restricted #2</td>\n",
       "      <td>14. Restricted #10</td>\n",
       "      <td>9. Restricted #5</td>\n",
       "      <td>2. USA Today</td>\n",
       "      <td>1. The New York Times</td>\n",
       "      <td>5. Restricted #1</td>\n",
       "      <td>12. Restricted #8</td>\n",
       "      <td>3. The Wall Street News</td>\n",
       "      <td>10. Restricted #6</td>\n",
       "      <td>11. Restricted #7</td>\n",
       "      <td>13. Restricted #9</td>\n",
       "      <td>8. Restricted #4</td>\n",
       "      <td>16. Restricted #12</td>\n",
       "      <td>15. Restricted #11</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-6. No post-election interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, web interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, web interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>65. DEMOCRATIC AND REPUBLICAN CANDS -Repub inc...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>Evan Bayh</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Todd Christopher Young</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Joseph Simon 'Joe' Donnelly</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>1. Democrat</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>55. No incumbent Repr. running--Democratic and...</td>\n",
       "      <td>John Dale</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Theodore Edward 'Todd' Rokita</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER</td>\n",
       "      <td>John R. Gregg</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Eric Joseph Holcomb</td>\n",
       "      <td>1. Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1809</th>\n",
       "      <td>ANES2016TimeSeries_20190904</td>\n",
       "      <td>2630.0</td>\n",
       "      <td>401579.0</td>\n",
       "      <td>0.4130</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4037</td>\n",
       "      <td>0.3858</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3741</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>1. Pre and Post interviews completed</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>2. Most of the time</td>\n",
       "      <td>1. Very much interested</td>\n",
       "      <td>1. Yes, voted</td>\n",
       "      <td>5. Other SPECIFY</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>7. Seven days</td>\n",
       "      <td>4. A little</td>\n",
       "      <td>1. Democratic candidate names 1st  /FTF yellow...</td>\n",
       "      <td>1. Sample address preloaded</td>\n",
       "      <td>1. Candidate names preloaded for location of s...</td>\n",
       "      <td>12. Florida</td>\n",
       "      <td>FL</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1. Registered at this address</td>\n",
       "      <td>-1. INAP, FTF mode /WEB: 1,2,3 in V161011</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1 in V161013a /1,3 in V161011 /FTF: ...</td>\n",
       "      <td>1. State of registration same as state of samp...</td>\n",
       "      <td>12. Florida</td>\n",
       "      <td>1. Senate race in state of registration</td>\n",
       "      <td>0. No Governor race in state of registration</td>\n",
       "      <td>1. Party registration in state of registration</td>\n",
       "      <td>-1. Inap, 2 in V161011 and 0 in V161015a /2 in...</td>\n",
       "      <td>1. 0-1 years</td>\n",
       "      <td>1. RESTRICTED: Recorded, two words that appear...</td>\n",
       "      <td>4. None or 'independent'</td>\n",
       "      <td>-1. Inap, 1,2 in V161011 /WEB: 1,-9 in V161011a</td>\n",
       "      <td>2. No, didn't vote in primary or caucus</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161021</td>\n",
       "      <td>2. Have not voted</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161022 /3 in V161011 /FT...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161022 /2 in V161022a /3...</td>\n",
       "      <td>3. Registered but did not vote early (or DK /R...</td>\n",
       "      <td>-1. Inap, 2 in V161016 /0 in V161015a /Web mode</td>\n",
       "      <td>-1. Inap, 2 in V161016 /0 in V161015a /Web mode</td>\n",
       "      <td>2. Use Ballot Card /preload names - R register...</td>\n",
       "      <td>-1. Inap, 1-3 in V161024x</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161026 /1-3 in V161024x</td>\n",
       "      <td>-1. Inap, -8,-9 in V161027 /2,-8,-9 in V161026...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>1. Hillary Clinton</td>\n",
       "      <td>1. Strong</td>\n",
       "      <td>-1. Inap, 2,3,4 in V161024x /WEB: 1 in V161011...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161033 /2,3,4 in V161024...</td>\n",
       "      <td>-1. Inap, -8,-9 in V161034 /2,-8,-9 in V161033...</td>\n",
       "      <td>-1. Inap, 2,3,5,6,7 in V161025x</td>\n",
       "      <td>-1. Inap, 1 in V161025x and 2,-8,-9 in V161036...</td>\n",
       "      <td>-1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V1...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161039 and 2 in V161025x...</td>\n",
       "      <td>-1. Inap 2 in V161025x, 1 in V161039 and 1,2,3...</td>\n",
       "      <td>-1. Inap, 1,2,4,5,7 in V161025x /3 in V161025x...</td>\n",
       "      <td>-1. Inap, 3 in V161025x and 2,-8,-9 in V161042...</td>\n",
       "      <td>-1. Inap 2,-8,-9 in V161042 and 3,6 in V161025...</td>\n",
       "      <td>11. Senate race- registration state (R registe...</td>\n",
       "      <td>-1. Inap,1,4 in V161025x and 01,21 in V161045x...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161046 /1 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161046 /4 in V161025x an...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161049 /2 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161049 /5 in V161025x an...</td>\n",
       "      <td>-1. Inap, 3,6 in V161025x and 00,20 in V161045...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161052 /3 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161052 /6 in V161025x an...</td>\n",
       "      <td>-1. Inap, 1,4 in V161025x and 01,11 in V161045...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161055 /1 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161055 /4 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,5 in V161025x and 00,01,10,11 in V...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161058 /2 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161058 /5 in V161025x an...</td>\n",
       "      <td>-1. Inap, 3,6 in V161025x and 00,10 in V161945...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161061 /3 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161061 /6 in V161025x an...</td>\n",
       "      <td>20. Democratic Presidential candidate: intend ...</td>\n",
       "      <td>-1. Inap, no vote /intent /preference</td>\n",
       "      <td>-1. Inap, no vote /intent /preference /no Sena...</td>\n",
       "      <td>-1. No vote /intent /preference /no Governor r...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>2. Not strongly</td>\n",
       "      <td>3. Disapprove not strongly</td>\n",
       "      <td>1. Right direction</td>\n",
       "      <td>1. Approve</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Approve strongly</td>\n",
       "      <td>1. Approve</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Approve strongly</td>\n",
       "      <td>1. Approve</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Approve strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>2. Not strongly</td>\n",
       "      <td>3. Disapprove not strongly</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. Moderately</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161113</td>\n",
       "      <td>2. Favor moderately</td>\n",
       "      <td>1. Excellent</td>\n",
       "      <td>2. Some of the time</td>\n",
       "      <td>4. Most of the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>4. Most of the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>4. Most of the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>4. Most of the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>4. Most of the time</td>\n",
       "      <td>2. Liberal</td>\n",
       "      <td>-1. INAP, 1,2,3,5,6,7 in V161126</td>\n",
       "      <td>4. Moderate, middle of the road</td>\n",
       "      <td>6. Conservative</td>\n",
       "      <td>2. Liberal</td>\n",
       "      <td>6. Conservative</td>\n",
       "      <td>20. Assigned to late placement - nonvoter (PLA...</td>\n",
       "      <td>-1. INAP, voter (11 in V161132) /late placemen...</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>2. Better when control is split</td>\n",
       "      <td>1. Larger</td>\n",
       "      <td>2. Somewhat</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161137</td>\n",
       "      <td>2. Somewhat larger</td>\n",
       "      <td>2. Good</td>\n",
       "      <td>2. Stayed about the same</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161140</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>2. Stay about the same</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161141</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>2. About the same</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>2. About the same</td>\n",
       "      <td>3. Not much difference between them</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Hillary Clinton</td>\n",
       "      <td>1. Will be close</td>\n",
       "      <td>2. Donald Trump</td>\n",
       "      <td>1. Will be close</td>\n",
       "      <td>-1. INAP, selected for version 1B of question</td>\n",
       "      <td>1. Mainly a choice</td>\n",
       "      <td>-1. INAP, 2,3,-8,-9 in V161150a or 1,3,-8,-9 i...</td>\n",
       "      <td>2. Moderately strongly</td>\n",
       "      <td>6. Moderately strongly feel that voting is a c...</td>\n",
       "      <td>1. Weaker</td>\n",
       "      <td>2. Disagree</td>\n",
       "      <td>4. A little willing</td>\n",
       "      <td>3. Independent</td>\n",
       "      <td>-1. INAP, 0,1,2,3,-8,-9 in V161155</td>\n",
       "      <td>-1. INAP, 0,3,5,-8,-9 in V161155</td>\n",
       "      <td>3. Closer to Democratic</td>\n",
       "      <td>3. Independent-Democrat</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>2. Very well</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>1. Compromises to get things done</td>\n",
       "      <td>3. Equally by voters and party leaders</td>\n",
       "      <td>2. Such a poor job that a third major party is...</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>2. A lot</td>\n",
       "      <td>1. Hold a vote on whether to confirm Merrick G...</td>\n",
       "      <td>99. Haven't thought much about this (FTF: DO N...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1. Govt should provide many fewer services</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7. Govt should increase defense spending</td>\n",
       "      <td>99. Haven't thought much about this (FTF: DO N...</td>\n",
       "      <td>1. Govt insurance plan</td>\n",
       "      <td>7. Private insurance plan</td>\n",
       "      <td>1. More difficult</td>\n",
       "      <td>3. Somewhat important</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7. Govt should let each person get ahead on own</td>\n",
       "      <td>3. Allow to remain and eventually qualify for ...</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>3. A little</td>\n",
       "      <td>5. Oppose a little</td>\n",
       "      <td>2. Should be allowed to live and work in the U.S.</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>6. Should allow to stay - favor a great deal</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>6. Oppose a moderate amount</td>\n",
       "      <td>2. Somewhat important</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1. Govt should help Blacks</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1. Regulate business to protect the environmen...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7. No regulation because it will not work and ...</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161204</td>\n",
       "      <td>2. Favor a moderate amount</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>3. A little</td>\n",
       "      <td>5. Oppose a little</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>3. A little</td>\n",
       "      <td>3. Favor a little</td>\n",
       "      <td>4. Some of the time</td>\n",
       "      <td>1. Run by a few big interests</td>\n",
       "      <td>1. Waste a lot</td>\n",
       "      <td>3. About half</td>\n",
       "      <td>2. Most of the time</td>\n",
       "      <td>1. A good deal</td>\n",
       "      <td>1. Has probably been happening</td>\n",
       "      <td>1. Mostly by human activity</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>1. Should be doing more</td>\n",
       "      <td>1. Great deal</td>\n",
       "      <td>1. Should be doing a great deal more</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Favor a great deal</td>\n",
       "      <td>2. Should be required to provide services</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>6. Feel very strongly - should be required to ...</td>\n",
       "      <td>2. Be allowed to use the bathrooms of their id...</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>6. Feel very strongly - bathroom of identified...</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Favor strongly</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>1. Gay and lesbian couples should be allowed t...</td>\n",
       "      <td>4. By law, abortion as a matter of personal ch...</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>2. Not strongly</td>\n",
       "      <td>3. Oppose not strongly</td>\n",
       "      <td>1. More secure</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>-1. INAP, 3.-8,-9 in V161235</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>4. Most of the time</td>\n",
       "      <td>1. Extremely likely</td>\n",
       "      <td>60.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2. Not important</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161241</td>\n",
       "      <td>3. The Bible is a book written by men and is n...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161244</td>\n",
       "      <td>-1. INAP, 2-5,-8,-9 in V161245 /2,-8,-9 in V16...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161244 /1 in V161244 and...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V1...</td>\n",
       "      <td>-1. INAP, 2,3,-8,-9 in V161247b /2,3,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 2-30,95,-8,-9 in V161248 /2,3,-8,-9 ...</td>\n",
       "      <td>-1. INAP, 1-5,-8,-9 in V161249 /2-30,95,-8,-9 ...</td>\n",
       "      <td>-1. INAP, 1,2,4-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-3,5-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-5,7-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-6,8-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-7,9-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-9,11-30,95,-8,-9 in V161248 /2,3,-...</td>\n",
       "      <td>-1. INAP, 1-11,13-30,95,-8,-9 in V161248 /2,3,...</td>\n",
       "      <td>-1. INAP, 1-14,16-30,95,-8,-9 in V161248 /2,3,...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, 1-30,-8,-9 in V161248 /2,3,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161247a /2,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V16124...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161261/27-30 in V161248/...</td>\n",
       "      <td>880. None</td>\n",
       "      <td>8. Not religious</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>02. Age group 21-24</td>\n",
       "      <td>6. Never married</td>\n",
       "      <td>2. No, not living with a partner</td>\n",
       "      <td>13. Bachelor's degree (for example: BA, AB, BS)</td>\n",
       "      <td>-1. INAP, 1-8,10-95,-8,-9 in V161270</td>\n",
       "      <td>-1. INAP, 3,4,5,6 in V161268 and 2,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 1-8,10-99,-8,-9 in V161272 /3,4,5,6 ...</td>\n",
       "      <td>0. Have never served on active duty</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>10. Working now only</td>\n",
       "      <td>1. R working now (if also retired, disabled, h...</td>\n",
       "      <td>1. Initial employment status: working now</td>\n",
       "      <td>-1. INAP, 1-6,-9 in V161277</td>\n",
       "      <td>-1. INAP 1,-8,-9 in V161278 /1-6,-9 in V161277</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP 1-4,6-8,-9 in V161277</td>\n",
       "      <td>-1. INAP, 1,2,5,7,8,-9 in V161277</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161281 /2,-8,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 3,-8,-9 in V161284 /2,-8,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161281 /1,2,7,8,-9 in V161277</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161286 /2,-9 in V161281 ...</td>\n",
       "      <td>-1. INAP, 2 in V161281 and 6 in V161277 /-8,-9...</td>\n",
       "      <td>-1. INAP, 1 in V161288 /-8,-9 in V161288 (FTF ...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161289 /1,-8,-9 in V1612...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>26. Entertainers and Performers, Sports and Re...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>83. Performing Arts, Spectator Sports, and Rel...</td>\n",
       "      <td>3. Self-employed</td>\n",
       "      <td>-1. INAP, 3,-8,-9 in V161293 /2,-8,-9 in V1612...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3. About right</td>\n",
       "      <td>1. Not at all</td>\n",
       "      <td>2. No</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-1. INAP, -9 in V161268 /2,-9 in V161269</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161302</td>\n",
       "      <td>-1. INAP, selected for 2-question version of s...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161304 /selected for 2-q...</td>\n",
       "      <td>-1. INAP, 1,-9 in V161304 /selected for 2-ques...</td>\n",
       "      <td>-1. INAP, 0,3,4,5,7,-8,-9 in V161305b /0,3,4,5...</td>\n",
       "      <td>3. Middle class</td>\n",
       "      <td>2. Middle class</td>\n",
       "      <td>-2. Coded summary will be available in future ...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>-1. 0,-8,-9 in V161310f</td>\n",
       "      <td>1. White, non-Hispanic</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, Web mode</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Both parents born in the U.S.</td>\n",
       "      <td>1. A U.S. state or D.C.</td>\n",
       "      <td>0. None</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>7. Not Hispanic</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161309</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>-1. INAP, 1,-8,-9 in V161316</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>-1. INAP, 1,2,3,-8,-9 in V161316</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161309</td>\n",
       "      <td>0. No children</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Only cell service</td>\n",
       "      <td>1. Yes, have a cell phone</td>\n",
       "      <td>1. Yes, have a smartphone</td>\n",
       "      <td>12. Florida</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1. 1 year or less (0 month 0 years - 1 year 6 ...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Pay rent</td>\n",
       "      <td>2. Never changed name</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Have a non-expired driver's license</td>\n",
       "      <td>1. Have a non-expired U.S. passport</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V1...</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>1. Not at all</td>\n",
       "      <td>1. Not at all</td>\n",
       "      <td>1. Strong feminist</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>1. Extremely important</td>\n",
       "      <td>5. Not at all</td>\n",
       "      <td>-1. INAP, 5,-9 in V161348</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161352 /not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161353 /1,-9 in V161352 /no...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161353 /1,-9 in V161352 /no...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161352 /not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161356  /2,-9 in V161352 /n...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161356  /2,-9 in V161352 /n...</td>\n",
       "      <td>-1. INAP, 1,-9 in V161358 /2,-9 in V161356  /2...</td>\n",
       "      <td>-1. INAP,2,-9 in V161358 /2,-9 in V161356  /2,...</td>\n",
       "      <td>...</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>1. 1 eligible U.S. citizen adult</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Screener R selected or no eligible person ...</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>1. Screener R selected: Screener R is only adu...</td>\n",
       "      <td>1. Screener R selected for Pre</td>\n",
       "      <td>2. Reverse order (selected questions)</td>\n",
       "      <td>1. Democratic cand names first (yellow ballot ...</td>\n",
       "      <td>1. $50</td>\n",
       "      <td>5. Bill Clinton</td>\n",
       "      <td>2. Mike Pence</td>\n",
       "      <td>4. Barack Obama</td>\n",
       "      <td>1. Tim Kaine</td>\n",
       "      <td>3. Gary Johnson</td>\n",
       "      <td>6. Jill Stein</td>\n",
       "      <td>6. Angry (Trump)</td>\n",
       "      <td>8. Afraid (Trump)</td>\n",
       "      <td>7. Hopeful (Trump)</td>\n",
       "      <td>9. Proud (Trump)</td>\n",
       "      <td>10. Disgusted (Trump)</td>\n",
       "      <td>1. Angry (Clinton)</td>\n",
       "      <td>3. Afraid (Clinton)</td>\n",
       "      <td>2. Hopeful (Clinton)</td>\n",
       "      <td>4. Proud (Clinton)</td>\n",
       "      <td>5. Disgusted (Clinton)</td>\n",
       "      <td>10. Speaks mind (Trump)</td>\n",
       "      <td>8. Knowledgeable (Trump)</td>\n",
       "      <td>6. Strong leadership (Trump)</td>\n",
       "      <td>9. Honest (Trump)</td>\n",
       "      <td>7. Really cares (Trump)</td>\n",
       "      <td>5. Speaks mind (Clinton)</td>\n",
       "      <td>3. Knowledgeable (Clinton)</td>\n",
       "      <td>1. Strong leadership (Clinton)</td>\n",
       "      <td>4. Honest (Clinton)</td>\n",
       "      <td>2. Really cares (Clinton)</td>\n",
       "      <td>4. Dealing with crime</td>\n",
       "      <td>1. Social Security</td>\n",
       "      <td>7. Aid to the poor</td>\n",
       "      <td>6. Child care</td>\n",
       "      <td>2. Public schools</td>\n",
       "      <td>3. Science and technology</td>\n",
       "      <td>8. Protecting the environment</td>\n",
       "      <td>5. Welfare programs</td>\n",
       "      <td>2. Version 1B</td>\n",
       "      <td>2. Selected for 2 question set</td>\n",
       "      <td>2. Rep /Dem</td>\n",
       "      <td>1. Dem /Rep</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>2. Rep Party /Dem Party</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Dem Party /Rep Party</td>\n",
       "      <td>1. Dem Party /Rep Party</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>2. Medicare</td>\n",
       "      <td>1. Foreign aid</td>\n",
       "      <td>3. National defense</td>\n",
       "      <td>4. Social Security</td>\n",
       "      <td>10. Modern Family</td>\n",
       "      <td>34. Blue Bloods</td>\n",
       "      <td>21. Face the Nation</td>\n",
       "      <td>17. 60 Minutes</td>\n",
       "      <td>20. Dancing with the Stars</td>\n",
       "      <td>23. Hardball with Chris Matthews</td>\n",
       "      <td>16. Today</td>\n",
       "      <td>12. The Nightly Show with Larry Wilmore</td>\n",
       "      <td>46. The O'Reilly Factor</td>\n",
       "      <td>45. The Late Show with Stephen Colbert</td>\n",
       "      <td>9. The Kelly File</td>\n",
       "      <td>44. The Big Bang Theory</td>\n",
       "      <td>2. All In with Chris Hayes</td>\n",
       "      <td>28. On the Record with Greta Van Susteren</td>\n",
       "      <td>29. Daredevil</td>\n",
       "      <td>33. ABC World News with David Muir</td>\n",
       "      <td>22. House of Cards</td>\n",
       "      <td>43. Scandal</td>\n",
       "      <td>31. Shark Tank</td>\n",
       "      <td>19. CBS This Morning</td>\n",
       "      <td>27. NBC Nightly News with Lester Holt</td>\n",
       "      <td>26. Game of Thrones</td>\n",
       "      <td>24. Judge Judy</td>\n",
       "      <td>35. Conan</td>\n",
       "      <td>38. Hawaii Five-O</td>\n",
       "      <td>5. Criminal Minds</td>\n",
       "      <td>4. CBS Evening News with Scott Pelley</td>\n",
       "      <td>3. The Blacklist</td>\n",
       "      <td>15. The Simpsons</td>\n",
       "      <td>30. The Rachel Maddow Show</td>\n",
       "      <td>48. Alpha House</td>\n",
       "      <td>13. Sunday Night Football</td>\n",
       "      <td>14. Scorpion</td>\n",
       "      <td>18. Anderson Cooper 360</td>\n",
       "      <td>47. The Tonight Show Starring Jimmy Fallon</td>\n",
       "      <td>25. Meet the Press</td>\n",
       "      <td>39. Madam Secretary</td>\n",
       "      <td>8. Jimmy Kimmel Live</td>\n",
       "      <td>32. The Voice</td>\n",
       "      <td>1. 20 /20</td>\n",
       "      <td>7. Hannity</td>\n",
       "      <td>36. Dateline NBC</td>\n",
       "      <td>6. Empire</td>\n",
       "      <td>37. Good Morning America</td>\n",
       "      <td>11. NCIS</td>\n",
       "      <td>40. Nancy Grace</td>\n",
       "      <td>41. Erin Burnett OutFront</td>\n",
       "      <td>42. PBS News Hour</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>11. The Thom Hartmann Program</td>\n",
       "      <td>12. Joe Madison (The Black Eagle)</td>\n",
       "      <td>14. The Bill Handel Show</td>\n",
       "      <td>9. Fresh Air (NPR)</td>\n",
       "      <td>8. The Savage Nation (Michael Savage)</td>\n",
       "      <td>4. All Things Considered (NPR)</td>\n",
       "      <td>3. The Sean Hannity Show</td>\n",
       "      <td>1. Rush Limbaugh</td>\n",
       "      <td>10. The Hugh Hewitt Show</td>\n",
       "      <td>6. The Glenn Beck Program</td>\n",
       "      <td>15. The Schnitt Show (Todd Schnitt)</td>\n",
       "      <td>5. Marketplace (NPR)</td>\n",
       "      <td>2. Morning Edition (NPR)</td>\n",
       "      <td>13. The Mike Gallagher Show</td>\n",
       "      <td>7. The Mark Levin Show</td>\n",
       "      <td>9. Fox News (foxnews.com)</td>\n",
       "      <td>1. Yahoo News (yahoo.com /news)</td>\n",
       "      <td>10. Mail Online  /Daily Mail (dailymail.co.uk)</td>\n",
       "      <td>4. Huffington Post (huffingtonpost.com)</td>\n",
       "      <td>8. Mention New York Times (nytimes.com)</td>\n",
       "      <td>15. ABC News (abcnews.com)</td>\n",
       "      <td>13. BBC News (news.bbc.co.uk)</td>\n",
       "      <td>5. CBS News (cbsnews.com)</td>\n",
       "      <td>6. USA Today (usatoday.com)</td>\n",
       "      <td>14. The Guardian (theguardian.com)</td>\n",
       "      <td>11. Washington Post (washingtonpost.com)</td>\n",
       "      <td>3. NBC News (nbcnews.com)</td>\n",
       "      <td>2. CNN.com</td>\n",
       "      <td>12. Business Insider (businessinsider.com)</td>\n",
       "      <td>7. Buzzfeed.com</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>12. Tim Kaine</td>\n",
       "      <td>4. Republican House Candidate</td>\n",
       "      <td>15. Pope Francis</td>\n",
       "      <td>13. Mike Pence</td>\n",
       "      <td>8. Ind /3rd Party Senate Candidate</td>\n",
       "      <td>9. Senior Senator (no race)</td>\n",
       "      <td>6. Democratic Senate Candidate</td>\n",
       "      <td>2. Jill Stein</td>\n",
       "      <td>5. Ind /3rd Party House Candidate</td>\n",
       "      <td>14. John Roberts</td>\n",
       "      <td>1. Gary Johnson</td>\n",
       "      <td>3. Democratic House Candidate</td>\n",
       "      <td>11. Non-running Senator</td>\n",
       "      <td>7. Republican Senate Candidate</td>\n",
       "      <td>10. Junior Senator (no race)</td>\n",
       "      <td>13. Christians</td>\n",
       "      <td>6. Big business</td>\n",
       "      <td>15. Tea Party</td>\n",
       "      <td>9. Gay men and lesbians</td>\n",
       "      <td>17. Transgender people</td>\n",
       "      <td>16. Police</td>\n",
       "      <td>8. U.S. Supreme Court</td>\n",
       "      <td>14. Jews</td>\n",
       "      <td>4. Labor unions</td>\n",
       "      <td>7. Conservatives</td>\n",
       "      <td>5. Poor people</td>\n",
       "      <td>11. Rich people</td>\n",
       "      <td>2. Feminists</td>\n",
       "      <td>19. Black Lives Matter</td>\n",
       "      <td>10. Congress</td>\n",
       "      <td>3. Liberals</td>\n",
       "      <td>1. Christian fundamentalists</td>\n",
       "      <td>12. Muslims</td>\n",
       "      <td>18. Scientists</td>\n",
       "      <td>1. Dem /Rep</td>\n",
       "      <td>2. RCOST /AMCOST</td>\n",
       "      <td>0. Revised /Standard</td>\n",
       "      <td>2. PAL /ISR</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>4. Illegal immigrants</td>\n",
       "      <td>1. Asians</td>\n",
       "      <td>5. Whites</td>\n",
       "      <td>3. Blacks</td>\n",
       "      <td>2. Hispanics</td>\n",
       "      <td>1. Blacks</td>\n",
       "      <td>2. Hispanics</td>\n",
       "      <td>3. Asians</td>\n",
       "      <td>2. Hispanic-Americans</td>\n",
       "      <td>3. Asian-Americans</td>\n",
       "      <td>4. Muslims</td>\n",
       "      <td>5. Christians</td>\n",
       "      <td>1. Blacks</td>\n",
       "      <td>2. Christians /Muslims</td>\n",
       "      <td>7. Men</td>\n",
       "      <td>10. Transgender people</td>\n",
       "      <td>4. Whites</td>\n",
       "      <td>6. Women</td>\n",
       "      <td>8. Muslims</td>\n",
       "      <td>5. Gay and lesbians</td>\n",
       "      <td>9. Christians</td>\n",
       "      <td>2. Hispanics</td>\n",
       "      <td>3. Asian-Americans</td>\n",
       "      <td>1. Blacks</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, web interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, web interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>Patrick Erin Murphy</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Marco Rubio</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Bill Nelson</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>1. Democrat</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>12. Democratic incumbent running--Republican c...</td>\n",
       "      <td>Alcee L. Hastings</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Gary Stein</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>82. NO RACE IN STATE: REPUBLICAN GOVERNOR</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 23,24,52,62,81,82,83 in gov_typerace...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 13,14,51,61,81,82,83 in gov_typerace...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1296</th>\n",
       "      <td>ANES2016TimeSeries_20190904</td>\n",
       "      <td>2117.0</td>\n",
       "      <td>400306.0</td>\n",
       "      <td>1.5098</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4617</td>\n",
       "      <td>1.4921</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4295</td>\n",
       "      <td>53.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>1. Pre and Post interviews completed</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>1. Always</td>\n",
       "      <td>1. Very much interested</td>\n",
       "      <td>1. Yes, voted</td>\n",
       "      <td>2. Mitt Romney</td>\n",
       "      <td>-1. Inap, Web mode</td>\n",
       "      <td>7. Seven days</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>2. Republican candidate names 1st  /FTF green ...</td>\n",
       "      <td>1. Sample address preloaded</td>\n",
       "      <td>1. Candidate names preloaded for location of s...</td>\n",
       "      <td>16. Idaho</td>\n",
       "      <td>ID</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1. Registered at this address</td>\n",
       "      <td>-1. INAP, FTF mode /WEB: 1,2,3 in V161011</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...</td>\n",
       "      <td>-1. Inap, 1 in V161013a /1,3 in V161011 /FTF: ...</td>\n",
       "      <td>1. State of registration same as state of samp...</td>\n",
       "      <td>16. Idaho</td>\n",
       "      <td>1. Senate race in state of registration</td>\n",
       "      <td>0. No Governor race in state of registration</td>\n",
       "      <td>1. Party registration in state of registration</td>\n",
       "      <td>-1. Inap, 2 in V161011 and 0 in V161015a /2 in...</td>\n",
       "      <td>3. 5 years or more</td>\n",
       "      <td>1. RESTRICTED: Recorded, two words that appear...</td>\n",
       "      <td>2. Republican party</td>\n",
       "      <td>-1. Inap, 1,2 in V161011 /WEB: 1,-9 in V161011a</td>\n",
       "      <td>1. Yes, voted in primary or caucus</td>\n",
       "      <td>6. John Kasich</td>\n",
       "      <td>2. Have not voted</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161022 /3 in V161011 /FT...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161022 /2 in V161022a /3...</td>\n",
       "      <td>3. Registered but did not vote early (or DK /R...</td>\n",
       "      <td>-1. Inap, 2 in V161016 /0 in V161015a /Web mode</td>\n",
       "      <td>-1. Inap, 2 in V161016 /0 in V161015a /Web mode</td>\n",
       "      <td>2. Use Ballot Card /preload names - R register...</td>\n",
       "      <td>-1. Inap, 1-3 in V161024x</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161026 /1-3 in V161024x</td>\n",
       "      <td>-1. Inap, -8,-9 in V161027 /2,-8,-9 in V161026...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>3. Gary Johnson</td>\n",
       "      <td>2. Not strong</td>\n",
       "      <td>-1. Inap, 2,3,4 in V161024x /WEB: 1 in V161011...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161033 /2,3,4 in V161024...</td>\n",
       "      <td>-1. Inap, -8,-9 in V161034 /2,-8,-9 in V161033...</td>\n",
       "      <td>-1. Inap, 2,3,5,6,7 in V161025x</td>\n",
       "      <td>-1. Inap, 1 in V161025x and 2,-8,-9 in V161036...</td>\n",
       "      <td>-1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V1...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Republican House candidate</td>\n",
       "      <td>-1. Inap 2 in V161025x, 1 in V161039 and 1,2,3...</td>\n",
       "      <td>-1. Inap, 1,2,4,5,7 in V161025x /3 in V161025x...</td>\n",
       "      <td>-1. Inap, 3 in V161025x and 2,-8,-9 in V161042...</td>\n",
       "      <td>-1. Inap 2,-8,-9 in V161042 and 3,6 in V161025...</td>\n",
       "      <td>11. Senate race- registration state (R registe...</td>\n",
       "      <td>-1. Inap,1,4 in V161025x and 01,21 in V161045x...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161046 /1 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161046 /4 in V161025x an...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Republican Senate candidate</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161049 /5 in V161025x an...</td>\n",
       "      <td>-1. Inap, 3,6 in V161025x and 00,20 in V161045...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161052 /3 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161052 /6 in V161025x an...</td>\n",
       "      <td>-1. Inap, 1,4 in V161025x and 01,11 in V161045...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161055 /1 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161055 /4 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,5 in V161025x and 00,01,10,11 in V...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161058 /2 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161058 /5 in V161025x an...</td>\n",
       "      <td>-1. Inap, 3,6 in V161025x and 00,10 in V161945...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161061 /3 in V161025x an...</td>\n",
       "      <td>-1. Inap, 2,-8,-9 in V161061 /6 in V161025x an...</td>\n",
       "      <td>22. Other Presidential candidate: intend to vo...</td>\n",
       "      <td>21. Republican House candidate: intend to vote...</td>\n",
       "      <td>21. Republican Senate candidate: intend to vot...</td>\n",
       "      <td>-1. No vote /intent /preference /no Governor r...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Wrong track</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>2. Disapprove</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>4. Disapprove strongly</td>\n",
       "      <td>20.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2. No</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-2. Redacted text available in a separate file</td>\n",
       "      <td>-2. Coded data available in a future release</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4. Somewhat worse off</td>\n",
       "      <td>2. Somewhat better off</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>-1. INAP, 2,3,-8,-9 in V161113</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>2. Very good</td>\n",
       "      <td>5. Always</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>2. Some of the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>3. About half the time</td>\n",
       "      <td>2. Some of the time</td>\n",
       "      <td>3. About half the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>3. About half the time</td>\n",
       "      <td>2. Some of the time</td>\n",
       "      <td>6. Conservative</td>\n",
       "      <td>-1. INAP, 1,2,3,5,6,7 in V161126</td>\n",
       "      <td>1. Extremely liberal</td>\n",
       "      <td>5. Slightly conservative</td>\n",
       "      <td>2. Liberal</td>\n",
       "      <td>7. Extremely conservative</td>\n",
       "      <td>20. Assigned to late placement - nonvoter (PLA...</td>\n",
       "      <td>-1. INAP, voter (11 in V161132) /late placemen...</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>-1. INAP, late placement (20,21 in V161132)</td>\n",
       "      <td>1. Better when one party controls both</td>\n",
       "      <td>1. Larger</td>\n",
       "      <td>2. Somewhat</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161137</td>\n",
       "      <td>2. Somewhat larger</td>\n",
       "      <td>4. Bad</td>\n",
       "      <td>2. Stayed about the same</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161140</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>2. Stay about the same</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161141</td>\n",
       "      <td>3. About the same</td>\n",
       "      <td>1. Better</td>\n",
       "      <td>2. Somewhat</td>\n",
       "      <td>2. Somewhat better</td>\n",
       "      <td>2. About the same</td>\n",
       "      <td>2. Republicans</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>5. Other SPECIFY</td>\n",
       "      <td>1. Will be close</td>\n",
       "      <td>2. Donald Trump</td>\n",
       "      <td>2. Win by quite a bit</td>\n",
       "      <td>1. Mainly a duty</td>\n",
       "      <td>-1. INAP, selected for version 1A of question</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>-1. INAP, 1,3,-8,-9 in V161150a or 2,3,-8,-9 i...</td>\n",
       "      <td>1. Very strongly feel that voting is a duty</td>\n",
       "      <td>1. Weaker</td>\n",
       "      <td>2. Disagree</td>\n",
       "      <td>3. Moderately willing</td>\n",
       "      <td>5. Other party SPECIFY</td>\n",
       "      <td>5. Other party SPECIFY</td>\n",
       "      <td>-1. INAP, 0,3,5,-8,-9 in V161155</td>\n",
       "      <td>1. Closer to Republican</td>\n",
       "      <td>5. Independent-Republican</td>\n",
       "      <td>4. Slightly well</td>\n",
       "      <td>4. Slightly well</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>4. Slightly well</td>\n",
       "      <td>2. Very well</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>4. Slightly well</td>\n",
       "      <td>3. Moderately well</td>\n",
       "      <td>1. Extremely well</td>\n",
       "      <td>4. Slightly well</td>\n",
       "      <td>5. Not well at all</td>\n",
       "      <td>1. Compromises to get things done</td>\n",
       "      <td>1. Entirely by voters</td>\n",
       "      <td>2. Such a poor job that a third major party is...</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Hold a vote on whether to confirm Merrick G...</td>\n",
       "      <td>1. Govt should provide many fewer services</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7. Private insurance plan</td>\n",
       "      <td>1. Govt insurance plan</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3. Keep these rules about the same</td>\n",
       "      <td>1. Extremely important</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2. Have a guest worker program in order to work</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Favor a great deal</td>\n",
       "      <td>1. Should be sent back where they came from</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>2. Should send back - favor a moderate amount</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>2. Favor a moderate amount</td>\n",
       "      <td>1. Very important</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1. Regulate business to protect the environmen...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>-1. INAP, 2,3,-8,-9 in V161204</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>3. Kept the same</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>1. Increased</td>\n",
       "      <td>3. Kept the same</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>2. Decreased</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>1. Favor a great deal</td>\n",
       "      <td>2. Oppose</td>\n",
       "      <td>1. A great deal</td>\n",
       "      <td>7. Oppose a great deal</td>\n",
       "      <td>4. Some of the time</td>\n",
       "      <td>1. Run by a few big interests</td>\n",
       "      <td>1. Waste a lot</td>\n",
       "      <td>3. About half</td>\n",
       "      <td>2. Most of the time</td>\n",
       "      <td>3. Not much</td>\n",
       "      <td>1. Has probably been happening</td>\n",
       "      <td>2. Mostly by natural causes</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. Should be doing less</td>\n",
       "      <td>1. Great deal</td>\n",
       "      <td>7. Should be doing a great deal less</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>2. A moderate amount</td>\n",
       "      <td>2. Favor a moderate amount</td>\n",
       "      <td>1. Should be allowed to refuse</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>1. Feel very strongly- should be allowed to re...</td>\n",
       "      <td>1. Have to use the bathrooms of the gender the...</td>\n",
       "      <td>1. Very strongly</td>\n",
       "      <td>1. Feel very strongly- bathroom of the gender ...</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Favor strongly</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>1. Gay and lesbian couples should be allowed t...</td>\n",
       "      <td>3. By law, for reasons other than rape, incest...</td>\n",
       "      <td>1. Favor</td>\n",
       "      <td>1. Strongly</td>\n",
       "      <td>1. Favor strongly</td>\n",
       "      <td>2. Less secure</td>\n",
       "      <td>2. Worse</td>\n",
       "      <td>1. Much</td>\n",
       "      <td>5. Much worse</td>\n",
       "      <td>2. Some of the time</td>\n",
       "      <td>1. Never</td>\n",
       "      <td>1. Extremely likely</td>\n",
       "      <td>47.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>1. Important</td>\n",
       "      <td>1. Some</td>\n",
       "      <td>1. The Bible is the actual word of God and is ...</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>4. A few times a year</td>\n",
       "      <td>-1. INAP, 2-5,-8,-9 in V161245 /2,-8,-9 in V16...</td>\n",
       "      <td>-1. INAP, 1 in V161244 and 1-4,-8,-9 in V161245</td>\n",
       "      <td>1. Protestant</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V1...</td>\n",
       "      <td>3. Lutheran</td>\n",
       "      <td>-1. INAP, 2-30,95,-8,-9 in V161248 /2,3,-8,-9 ...</td>\n",
       "      <td>-1. INAP, 1-5,-8,-9 in V161249 /2-30,95,-8,-9 ...</td>\n",
       "      <td>2. Missouri Synod</td>\n",
       "      <td>-1. INAP, 1-3,5-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-5,7-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-6,8-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-7,9-30,95,-8,-9 in V161248 /2,3,-8...</td>\n",
       "      <td>-1. INAP, 1-9,11-30,95,-8,-9 in V161248 /2,3,-...</td>\n",
       "      <td>-1. INAP, 1-11,13-30,95,-8,-9 in V161248 /2,3,...</td>\n",
       "      <td>-1. INAP, 1-14,16-30,95,-8,-9 in V161248 /2,3,...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, 1-30,-8,-9 in V161248 /2,3,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161247a /2,-8,-9 in ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V16124...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>221. Lutheran Church, Missouri Synod; LC-MS</td>\n",
       "      <td>2. Evangelical Protestant</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>49.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1967.0</td>\n",
       "      <td>07. Age group 45-49</td>\n",
       "      <td>1. Married: spouse present</td>\n",
       "      <td>-1. INAP, 1 in V161268 /2,-8,-9 in V161268 (FT...</td>\n",
       "      <td>13. Bachelor's degree (for example: BA, AB, BS)</td>\n",
       "      <td>-1. INAP, 1-8,10-95,-8,-9 in V161270</td>\n",
       "      <td>13. Bachelor's degree (for example: BA, AB, BS)</td>\n",
       "      <td>-1. INAP, 1-8,10-99,-8,-9 in V161272 /3,4,5,6 ...</td>\n",
       "      <td>1. Have previously served on active duty</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>10. Working now only</td>\n",
       "      <td>1. R working now (if also retired, disabled, h...</td>\n",
       "      <td>1. Initial employment status: working now</td>\n",
       "      <td>-1. INAP, 1-6,-9 in V161277</td>\n",
       "      <td>-1. INAP 1,-8,-9 in V161278 /1-6,-9 in V161277</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP 1-4,6-8,-9 in V161277</td>\n",
       "      <td>-1. INAP, 1,2,5,7,8,-9 in V161277</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161281 /2,-8,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 3,-8,-9 in V161284 /2,-8,-9 in V1612...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161281 /1,2,7,8,-9 in V161277</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161286 /2,-9 in V161281 ...</td>\n",
       "      <td>-1. INAP, 2 in V161281 and 6 in V161277 /-8,-9...</td>\n",
       "      <td>-1. INAP, 1 in V161288 /-8,-9 in V161288 (FTF ...</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161289 /1,-8,-9 in V1612...</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>4. Other management Occupations</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>99. National Security and International Affairs</td>\n",
       "      <td>1. Someone else</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3. About right</td>\n",
       "      <td>3. Moderately</td>\n",
       "      <td>2. No</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>-2. Redacted text of open-end response availab...</td>\n",
       "      <td>6. Financial Specialists</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>1. Respondent only</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>1. Middle class</td>\n",
       "      <td>-1. INAP, 1,-9 in V161304 /selected for 2-ques...</td>\n",
       "      <td>1. Average middle /working class</td>\n",
       "      <td>-1. INAP, selected for 4-question version of  ...</td>\n",
       "      <td>-1. INAP, 1,2,4,-8,-9 in V161307 /selected for...</td>\n",
       "      <td>-2. Coded summary will be available in future ...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>1. Selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>0. Not selected</td>\n",
       "      <td>-1. 0,-8,-9 in V161310f</td>\n",
       "      <td>1. White, non-Hispanic</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, Web mode</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Both parents born in the U.S.</td>\n",
       "      <td>1. A U.S. state or D.C.</td>\n",
       "      <td>0. None</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>7. Not Hispanic</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161309</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>-1. INAP, 1,-8,-9 in V161316</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>-1. INAP, 1,2,3,-8,-9 in V161316</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161309</td>\n",
       "      <td>0. No children</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>-1. INAP, 0,-8,-9 in V161324</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>2. Only cell service</td>\n",
       "      <td>1. Yes, have a cell phone</td>\n",
       "      <td>1. Yes, have a smartphone</td>\n",
       "      <td>41. Oregon</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>2. Pay mortgage</td>\n",
       "      <td>2. Never changed name</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>2. No</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>1. Have a non-expired driver's license</td>\n",
       "      <td>1. Have a non-expired U.S. passport</td>\n",
       "      <td>-1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V1...</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-3. Restricted access for protection of respon...</td>\n",
       "      <td>2. A little</td>\n",
       "      <td>1. Not at all</td>\n",
       "      <td>3. Not a feminist</td>\n",
       "      <td>5. Not at all</td>\n",
       "      <td>-1. INAP, 5,-9 in V161346</td>\n",
       "      <td>5. Not at all</td>\n",
       "      <td>-1. INAP, 5,-9 in V161348</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>-3. Restricted access, not available, protecti...</td>\n",
       "      <td>-1. INAP, not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161352 /not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161353 /1,-9 in V161352 /no...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161353 /1,-9 in V161352 /no...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161352 /not -9 in V161351</td>\n",
       "      <td>-1. INAP, 1,-9 in V161356  /2,-9 in V161352 /n...</td>\n",
       "      <td>-1. INAP, 2,-9 in V161356  /2,-9 in V161352 /n...</td>\n",
       "      <td>-1. INAP, 1,-9 in V161358 /2,-9 in V161356  /2...</td>\n",
       "      <td>-1. INAP,2,-9 in V161358 /2,-9 in V161356  /2,...</td>\n",
       "      <td>...</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>3. 3 eligible U.S. citizen adults</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>-5. Screener R selected or no eligible person ...</td>\n",
       "      <td>-5. Inapplicable question</td>\n",
       "      <td>3. Screener R selected: More than 1 U.S. citiz...</td>\n",
       "      <td>1. Screener R selected for Pre</td>\n",
       "      <td>2. Reverse order (selected questions)</td>\n",
       "      <td>2. Republican cand names first (green ballot c...</td>\n",
       "      <td>4. $2,000</td>\n",
       "      <td>3. Gary Johnson</td>\n",
       "      <td>6. Jill Stein</td>\n",
       "      <td>5. Bill Clinton</td>\n",
       "      <td>4. Barack Obama</td>\n",
       "      <td>2. Mike Pence</td>\n",
       "      <td>1. Tim Kaine</td>\n",
       "      <td>6. Angry (Trump)</td>\n",
       "      <td>8. Afraid (Trump)</td>\n",
       "      <td>9. Proud (Trump)</td>\n",
       "      <td>10. Disgusted (Trump)</td>\n",
       "      <td>7. Hopeful (Trump)</td>\n",
       "      <td>1. Angry (Clinton)</td>\n",
       "      <td>3. Afraid (Clinton)</td>\n",
       "      <td>4. Proud (Clinton)</td>\n",
       "      <td>5. Disgusted (Clinton)</td>\n",
       "      <td>2. Hopeful (Clinton)</td>\n",
       "      <td>8. Knowledgeable (Trump)</td>\n",
       "      <td>9. Honest (Trump)</td>\n",
       "      <td>6. Strong leadership (Trump)</td>\n",
       "      <td>10. Speaks mind (Trump)</td>\n",
       "      <td>7. Really cares (Trump)</td>\n",
       "      <td>3. Knowledgeable (Clinton)</td>\n",
       "      <td>4. Honest (Clinton)</td>\n",
       "      <td>1. Strong leadership (Clinton)</td>\n",
       "      <td>5. Speaks mind (Clinton)</td>\n",
       "      <td>2. Really cares (Clinton)</td>\n",
       "      <td>1. Social Security</td>\n",
       "      <td>8. Protecting the environment</td>\n",
       "      <td>3. Science and technology</td>\n",
       "      <td>2. Public schools</td>\n",
       "      <td>7. Aid to the poor</td>\n",
       "      <td>5. Welfare programs</td>\n",
       "      <td>4. Dealing with crime</td>\n",
       "      <td>6. Child care</td>\n",
       "      <td>1. Version 1A</td>\n",
       "      <td>1. Selected for 4 question set</td>\n",
       "      <td>2. Rep /Dem</td>\n",
       "      <td>2. Rep /Dem</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>2. Rep Party /Dem Party</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Dem Party /Rep Party</td>\n",
       "      <td>1. Dem Party /Rep Party</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Foreign aid</td>\n",
       "      <td>3. National defense</td>\n",
       "      <td>2. Medicare</td>\n",
       "      <td>4. Social Security</td>\n",
       "      <td>24. Judge Judy</td>\n",
       "      <td>13. Sunday Night Football</td>\n",
       "      <td>29. Daredevil</td>\n",
       "      <td>21. Face the Nation</td>\n",
       "      <td>35. Conan</td>\n",
       "      <td>33. ABC World News with David Muir</td>\n",
       "      <td>27. NBC Nightly News with Lester Holt</td>\n",
       "      <td>2. All In with Chris Hayes</td>\n",
       "      <td>31. Shark Tank</td>\n",
       "      <td>26. Game of Thrones</td>\n",
       "      <td>8. Jimmy Kimmel Live</td>\n",
       "      <td>23. Hardball with Chris Matthews</td>\n",
       "      <td>46. The O'Reilly Factor</td>\n",
       "      <td>3. The Blacklist</td>\n",
       "      <td>22. House of Cards</td>\n",
       "      <td>28. On the Record with Greta Van Susteren</td>\n",
       "      <td>16. Today</td>\n",
       "      <td>40. Nancy Grace</td>\n",
       "      <td>30. The Rachel Maddow Show</td>\n",
       "      <td>20. Dancing with the Stars</td>\n",
       "      <td>1. 20 /20</td>\n",
       "      <td>36. Dateline NBC</td>\n",
       "      <td>15. The Simpsons</td>\n",
       "      <td>45. The Late Show with Stephen Colbert</td>\n",
       "      <td>12. The Nightly Show with Larry Wilmore</td>\n",
       "      <td>5. Criminal Minds</td>\n",
       "      <td>47. The Tonight Show Starring Jimmy Fallon</td>\n",
       "      <td>42. PBS News Hour</td>\n",
       "      <td>37. Good Morning America</td>\n",
       "      <td>19. CBS This Morning</td>\n",
       "      <td>44. The Big Bang Theory</td>\n",
       "      <td>32. The Voice</td>\n",
       "      <td>25. Meet the Press</td>\n",
       "      <td>4. CBS Evening News with Scott Pelley</td>\n",
       "      <td>6. Empire</td>\n",
       "      <td>39. Madam Secretary</td>\n",
       "      <td>41. Erin Burnett OutFront</td>\n",
       "      <td>48. Alpha House</td>\n",
       "      <td>34. Blue Bloods</td>\n",
       "      <td>38. Hawaii Five-O</td>\n",
       "      <td>11. NCIS</td>\n",
       "      <td>7. Hannity</td>\n",
       "      <td>43. Scandal</td>\n",
       "      <td>14. Scorpion</td>\n",
       "      <td>10. Modern Family</td>\n",
       "      <td>9. The Kelly File</td>\n",
       "      <td>17. 60 Minutes</td>\n",
       "      <td>18. Anderson Cooper 360</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>14. The Bill Handel Show</td>\n",
       "      <td>2. Morning Edition (NPR)</td>\n",
       "      <td>11. The Thom Hartmann Program</td>\n",
       "      <td>15. The Schnitt Show (Todd Schnitt)</td>\n",
       "      <td>3. The Sean Hannity Show</td>\n",
       "      <td>7. The Mark Levin Show</td>\n",
       "      <td>8. The Savage Nation (Michael Savage)</td>\n",
       "      <td>5. Marketplace (NPR)</td>\n",
       "      <td>6. The Glenn Beck Program</td>\n",
       "      <td>12. Joe Madison (The Black Eagle)</td>\n",
       "      <td>10. The Hugh Hewitt Show</td>\n",
       "      <td>9. Fresh Air (NPR)</td>\n",
       "      <td>1. Rush Limbaugh</td>\n",
       "      <td>13. The Mike Gallagher Show</td>\n",
       "      <td>4. All Things Considered (NPR)</td>\n",
       "      <td>7. Buzzfeed.com</td>\n",
       "      <td>4. Huffington Post (huffingtonpost.com)</td>\n",
       "      <td>6. USA Today (usatoday.com)</td>\n",
       "      <td>1. Yahoo News (yahoo.com /news)</td>\n",
       "      <td>14. The Guardian (theguardian.com)</td>\n",
       "      <td>9. Fox News (foxnews.com)</td>\n",
       "      <td>3. NBC News (nbcnews.com)</td>\n",
       "      <td>13. BBC News (news.bbc.co.uk)</td>\n",
       "      <td>15. ABC News (abcnews.com)</td>\n",
       "      <td>8. Mention New York Times (nytimes.com)</td>\n",
       "      <td>5. CBS News (cbsnews.com)</td>\n",
       "      <td>12. Business Insider (businessinsider.com)</td>\n",
       "      <td>2. CNN.com</td>\n",
       "      <td>11. Washington Post (washingtonpost.com)</td>\n",
       "      <td>10. Mail Online  /Daily Mail (dailymail.co.uk)</td>\n",
       "      <td>14. Restricted #10</td>\n",
       "      <td>1. The New York Times</td>\n",
       "      <td>4. The Washington Post</td>\n",
       "      <td>3. The Wall Street News</td>\n",
       "      <td>2. USA Today</td>\n",
       "      <td>6. Restricted #2</td>\n",
       "      <td>16. Restricted #12</td>\n",
       "      <td>15. Restricted #11</td>\n",
       "      <td>7. Restricted #3</td>\n",
       "      <td>9. Restricted #5</td>\n",
       "      <td>13. Restricted #9</td>\n",
       "      <td>12. Restricted #8</td>\n",
       "      <td>10. Restricted #6</td>\n",
       "      <td>5. Restricted #1</td>\n",
       "      <td>8. Restricted #4</td>\n",
       "      <td>14. Restricted #10</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>11. Non-running Senator</td>\n",
       "      <td>2. Jill Stein</td>\n",
       "      <td>14. John Roberts</td>\n",
       "      <td>4. Republican House Candidate</td>\n",
       "      <td>15. Pope Francis</td>\n",
       "      <td>8. Ind /3rd Party Senate Candidate</td>\n",
       "      <td>10. Junior Senator (no race)</td>\n",
       "      <td>12. Tim Kaine</td>\n",
       "      <td>3. Democratic House Candidate</td>\n",
       "      <td>9. Senior Senator (no race)</td>\n",
       "      <td>7. Republican Senate Candidate</td>\n",
       "      <td>1. Gary Johnson</td>\n",
       "      <td>6. Democratic Senate Candidate</td>\n",
       "      <td>13. Mike Pence</td>\n",
       "      <td>5. Ind /3rd Party House Candidate</td>\n",
       "      <td>6. Big business</td>\n",
       "      <td>14. Jews</td>\n",
       "      <td>13. Christians</td>\n",
       "      <td>2. Feminists</td>\n",
       "      <td>5. Poor people</td>\n",
       "      <td>1. Christian fundamentalists</td>\n",
       "      <td>15. Tea Party</td>\n",
       "      <td>8. U.S. Supreme Court</td>\n",
       "      <td>19. Black Lives Matter</td>\n",
       "      <td>12. Muslims</td>\n",
       "      <td>10. Congress</td>\n",
       "      <td>9. Gay men and lesbians</td>\n",
       "      <td>11. Rich people</td>\n",
       "      <td>17. Transgender people</td>\n",
       "      <td>18. Scientists</td>\n",
       "      <td>4. Labor unions</td>\n",
       "      <td>16. Police</td>\n",
       "      <td>7. Conservatives</td>\n",
       "      <td>3. Liberals</td>\n",
       "      <td>1. Dem /Rep</td>\n",
       "      <td>1. AMCOST /RCOST</td>\n",
       "      <td>0. Revised /Standard</td>\n",
       "      <td>1. ISR /PAL</td>\n",
       "      <td>2. Trump /Clinton</td>\n",
       "      <td>1. Clinton /Trump</td>\n",
       "      <td>1. Asians</td>\n",
       "      <td>3. Blacks</td>\n",
       "      <td>4. Illegal immigrants</td>\n",
       "      <td>2. Hispanics</td>\n",
       "      <td>5. Whites</td>\n",
       "      <td>3. Asians</td>\n",
       "      <td>2. Hispanics</td>\n",
       "      <td>1. Blacks</td>\n",
       "      <td>3. Asian-Americans</td>\n",
       "      <td>2. Hispanic-Americans</td>\n",
       "      <td>5. Christians</td>\n",
       "      <td>1. Blacks</td>\n",
       "      <td>4. Muslims</td>\n",
       "      <td>2. Christians /Muslims</td>\n",
       "      <td>8. Muslims</td>\n",
       "      <td>6. Women</td>\n",
       "      <td>10. Transgender people</td>\n",
       "      <td>4. Whites</td>\n",
       "      <td>3. Asian-Americans</td>\n",
       "      <td>1. Blacks</td>\n",
       "      <td>2. Hispanics</td>\n",
       "      <td>5. Gay and lesbians</td>\n",
       "      <td>9. Christians</td>\n",
       "      <td>7. Men</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-2. Data will be available in forthcoming release</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, web interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. INAP, web interview</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-3. Restricted</td>\n",
       "      <td>21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap, 12-75 in sen_typerace; Washington D....</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>Stephen Jerry 'Jerry' Sturgill</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Michael D. 'Mike' Crapo</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>James E. 'Jim' Risch</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>2. Republican</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>55. No incumbent Repr. running--Democratic and...</td>\n",
       "      <td>James M. Piotrowski</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>Raul Rafael Labrador</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>82. NO RACE IN STATE: REPUBLICAN GOVERNOR</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 23,24,52,62,81,82,83 in gov_typerace...</td>\n",
       "      <td>-1. Inap</td>\n",
       "      <td>-1. Inap, 13,14,51,61,81,82,83 in gov_typerace...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 1842 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          version  V160001  V160001_orig  V160101  V160101f  \\\n",
       "1383  ANES2016TimeSeries_20190904   2204.0      400532.0   2.2233       0.0   \n",
       "1809  ANES2016TimeSeries_20190904   2630.0      401579.0   0.4130       0.0   \n",
       "1296  ANES2016TimeSeries_20190904   2117.0      400306.0   1.5098       0.0   \n",
       "\n",
       "      V160101w  V160102  V160102f  V160102w  V160201  V160201f  V160201w  \\\n",
       "1383    2.1716   0.0000       0.0    0.0000     66.0       0.0      66.0   \n",
       "1809    0.4037   0.3858       0.0    0.3741     90.0       0.0      90.0   \n",
       "1296    1.4617   1.4921       0.0    1.4295     53.0       0.0      53.0   \n",
       "\n",
       "      V160202  V160202f  V160202w V160501  \\\n",
       "1383      2.0       0.0       2.0  2. Web   \n",
       "1809      1.0       0.0       1.0  2. Web   \n",
       "1296      2.0       0.0       2.0  2. Web   \n",
       "\n",
       "                                                V160502             V161001  \\\n",
       "1383  0. Pre interview completed- no completed Post ...  -1. Inap, Web mode   \n",
       "1809               1. Pre and Post interviews completed  -1. Inap, Web mode   \n",
       "1296               1. Pre and Post interviews completed  -1. Inap, Web mode   \n",
       "\n",
       "                 V161002              V161003                  V161004  \\\n",
       "1383  -1. Inap, Web mode  2. Most of the time  1. Very much interested   \n",
       "1809  -1. Inap, Web mode  2. Most of the time  1. Very much interested   \n",
       "1296  -1. Inap, Web mode            1. Always  1. Very much interested   \n",
       "\n",
       "            V161005           V161006             V161007        V161008  \\\n",
       "1383  1. Yes, voted    2. Mitt Romney  -1. Inap, Web mode  7. Seven days   \n",
       "1809  1. Yes, voted  5. Other SPECIFY  -1. Inap, Web mode  7. Seven days   \n",
       "1296  1. Yes, voted    2. Mitt Romney  -1. Inap, Web mode  7. Seven days   \n",
       "\n",
       "              V161009                                           V161010a  \\\n",
       "1383  1. A great deal  1. Democratic candidate names 1st  /FTF yellow...   \n",
       "1809      4. A little  1. Democratic candidate names 1st  /FTF yellow...   \n",
       "1296  1. A great deal  2. Republican candidate names 1st  /FTF green ...   \n",
       "\n",
       "                         V161010b  \\\n",
       "1383  1. Sample address preloaded   \n",
       "1809  1. Sample address preloaded   \n",
       "1296  1. Sample address preloaded   \n",
       "\n",
       "                                               V161010c     V161010d V161010e  \\\n",
       "1383  1. Candidate names preloaded for location of s...  18. Indiana       IN   \n",
       "1809  1. Candidate names preloaded for location of s...  12. Florida       FL   \n",
       "1296  1. Candidate names preloaded for location of s...    16. Idaho       ID   \n",
       "\n",
       "      V161010f                        V161011  \\\n",
       "1383       4.0  1. Registered at this address   \n",
       "1809      20.0  1. Registered at this address   \n",
       "1296       1.0  1. Registered at this address   \n",
       "\n",
       "                                       V161011a  \\\n",
       "1383  -1. INAP, FTF mode /WEB: 1,2,3 in V161011   \n",
       "1809  -1. INAP, FTF mode /WEB: 1,2,3 in V161011   \n",
       "1296  -1. INAP, FTF mode /WEB: 1,2,3 in V161011   \n",
       "\n",
       "                                                V161012  \\\n",
       "1383  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "1809  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "1296  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "\n",
       "                                               V161013a  \\\n",
       "1383  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "1809  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "1296  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "\n",
       "                                               V161013b  \\\n",
       "1383  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "1809  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "1296  -1. Inap, 1,3 in V161011 /FTF: -8,-9 in V16101...   \n",
       "\n",
       "                                                V161014  \\\n",
       "1383  -1. Inap, 1 in V161013a /1,3 in V161011 /FTF: ...   \n",
       "1809  -1. Inap, 1 in V161013a /1,3 in V161011 /FTF: ...   \n",
       "1296  -1. Inap, 1 in V161013a /1,3 in V161011 /FTF: ...   \n",
       "\n",
       "                                               V161015a     V161015b  \\\n",
       "1383  1. State of registration same as state of samp...  18. Indiana   \n",
       "1809  1. State of registration same as state of samp...  12. Florida   \n",
       "1296  1. State of registration same as state of samp...    16. Idaho   \n",
       "\n",
       "                                     V161015c  \\\n",
       "1383  1. Senate race in state of registration   \n",
       "1809  1. Senate race in state of registration   \n",
       "1296  1. Senate race in state of registration   \n",
       "\n",
       "                                          V161015d  \\\n",
       "1383     1. Governor race in state of registration   \n",
       "1809  0. No Governor race in state of registration   \n",
       "1296  0. No Governor race in state of registration   \n",
       "\n",
       "                                               V161015e  \\\n",
       "1383  0. No party registration in state of registration   \n",
       "1809     1. Party registration in state of registration   \n",
       "1296     1. Party registration in state of registration   \n",
       "\n",
       "                                                V161016             V161017  \\\n",
       "1383  -1. Inap, 2 in V161011 and 0 in V161015a /2 in...  3. 5 years or more   \n",
       "1809  -1. Inap, 2 in V161011 and 0 in V161015a /2 in...        1. 0-1 years   \n",
       "1296  -1. Inap, 2 in V161011 and 0 in V161015a /2 in...  3. 5 years or more   \n",
       "\n",
       "                                                V161018  \\\n",
       "1383  1. RESTRICTED: Recorded, two words that appear...   \n",
       "1809  1. RESTRICTED: Recorded, two words that appear...   \n",
       "1296  1. RESTRICTED: Recorded, two words that appear...   \n",
       "\n",
       "                                                V161019  \\\n",
       "1383  -1. Inap, 0 in V161015e /3 in V161011 /FTF: -8...   \n",
       "1809                           4. None or 'independent'   \n",
       "1296                                2. Republican party   \n",
       "\n",
       "                                              V161020  \\\n",
       "1383  -1. Inap, 1,2 in V161011 /WEB: 1,-9 in V161011a   \n",
       "1809  -1. Inap, 1,2 in V161011 /WEB: 1,-9 in V161011a   \n",
       "1296  -1. Inap, 1,2 in V161011 /WEB: 1,-9 in V161011a   \n",
       "\n",
       "                                      V161021                      V161021a  \\\n",
       "1383       1. Yes, voted in primary or caucus               4. Donald Trump   \n",
       "1809  2. No, didn't vote in primary or caucus  -1. Inap, 2,-8,-9 in V161021   \n",
       "1296       1. Yes, voted in primary or caucus                6. John Kasich   \n",
       "\n",
       "                V161022                                           V161022a  \\\n",
       "1383  2. Have not voted  -1. Inap, 2,-8,-9 in V161022 /3 in V161011 /FT...   \n",
       "1809  2. Have not voted  -1. Inap, 2,-8,-9 in V161022 /3 in V161011 /FT...   \n",
       "1296  2. Have not voted  -1. Inap, 2,-8,-9 in V161022 /3 in V161011 /FT...   \n",
       "\n",
       "                                                V161023  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161022 /2 in V161022a /3...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161022 /2 in V161022a /3...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161022 /2 in V161022a /3...   \n",
       "\n",
       "                                               V161024x  \\\n",
       "1383  3. Registered but did not vote early (or DK /R...   \n",
       "1809  3. Registered but did not vote early (or DK /R...   \n",
       "1296  3. Registered but did not vote early (or DK /R...   \n",
       "\n",
       "                                              V161025  \\\n",
       "1383  -1. Inap, 2 in V161016 /0 in V161015a /Web mode   \n",
       "1809  -1. Inap, 2 in V161016 /0 in V161015a /Web mode   \n",
       "1296  -1. Inap, 2 in V161016 /0 in V161015a /Web mode   \n",
       "\n",
       "                                             V161025a  \\\n",
       "1383  -1. Inap, 2 in V161016 /0 in V161015a /Web mode   \n",
       "1809  -1. Inap, 2 in V161016 /0 in V161015a /Web mode   \n",
       "1296  -1. Inap, 2 in V161016 /0 in V161015a /Web mode   \n",
       "\n",
       "                                               V161025x  \\\n",
       "1383  2. Use Ballot Card /preload names - R register...   \n",
       "1809  2. Use Ballot Card /preload names - R register...   \n",
       "1296  2. Use Ballot Card /preload names - R register...   \n",
       "\n",
       "                        V161026  \\\n",
       "1383  -1. Inap, 1-3 in V161024x   \n",
       "1809  -1. Inap, 1-3 in V161024x   \n",
       "1296  -1. Inap, 1-3 in V161024x   \n",
       "\n",
       "                                            V161027  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161026 /1-3 in V161024x   \n",
       "1809  -1. Inap, 2,-8,-9 in V161026 /1-3 in V161024x   \n",
       "1296  -1. Inap, 2,-8,-9 in V161026 /1-3 in V161024x   \n",
       "\n",
       "                                                V161028  \\\n",
       "1383  -1. Inap, -8,-9 in V161027 /2,-8,-9 in V161026...   \n",
       "1809  -1. Inap, -8,-9 in V161027 /2,-8,-9 in V161026...   \n",
       "1296  -1. Inap, -8,-9 in V161027 /2,-8,-9 in V161026...   \n",
       "\n",
       "                                               V161029a  V161029b V161030  \\\n",
       "1383  -2. Redacted text of open-end response availab...  -1. Inap  1. Yes   \n",
       "1809  -2. Redacted text of open-end response availab...  -1. Inap  1. Yes   \n",
       "1296  -2. Redacted text of open-end response availab...  -1. Inap  1. Yes   \n",
       "\n",
       "                 V161031        V161032  \\\n",
       "1383     2. Donald Trump      1. Strong   \n",
       "1809  1. Hillary Clinton      1. Strong   \n",
       "1296     3. Gary Johnson  2. Not strong   \n",
       "\n",
       "                                                V161033  \\\n",
       "1383  -1. Inap, 2,3,4 in V161024x /WEB: 1 in V161011...   \n",
       "1809  -1. Inap, 2,3,4 in V161024x /WEB: 1 in V161011...   \n",
       "1296  -1. Inap, 2,3,4 in V161024x /WEB: 1 in V161011...   \n",
       "\n",
       "                                                V161034  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161033 /2,3,4 in V161024...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161033 /2,3,4 in V161024...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161033 /2,3,4 in V161024...   \n",
       "\n",
       "                                                V161035  \\\n",
       "1383  -1. Inap, -8,-9 in V161034 /2,-8,-9 in V161033...   \n",
       "1809  -1. Inap, -8,-9 in V161034 /2,-8,-9 in V161033...   \n",
       "1296  -1. Inap, -8,-9 in V161034 /2,-8,-9 in V161033...   \n",
       "\n",
       "                              V161036  \\\n",
       "1383  -1. Inap, 2,3,5,6,7 in V161025x   \n",
       "1809  -1. Inap, 2,3,5,6,7 in V161025x   \n",
       "1296  -1. Inap, 2,3,5,6,7 in V161025x   \n",
       "\n",
       "                                                V161037  \\\n",
       "1383  -1. Inap, 1 in V161025x and 2,-8,-9 in V161036...   \n",
       "1809  -1. Inap, 1 in V161025x and 2,-8,-9 in V161036...   \n",
       "1296  -1. Inap, 1 in V161025x and 2,-8,-9 in V161036...   \n",
       "\n",
       "                                                V161038 V161039  \\\n",
       "1383  -1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V1...  1. Yes   \n",
       "1809  -1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V1...   2. No   \n",
       "1296  -1. Inap 1 in V161025x and 1,2,3,5,-8,-9 in V1...  1. Yes   \n",
       "\n",
       "                                                V161040  \\\n",
       "1383                      2. Republican House candidate   \n",
       "1809  -1. Inap, 2,-8,-9 in V161039 and 2 in V161025x...   \n",
       "1296                      2. Republican House candidate   \n",
       "\n",
       "                                                V161041  \\\n",
       "1383  -1. Inap 2 in V161025x, 1 in V161039 and 1,2,3...   \n",
       "1809  -1. Inap 2 in V161025x, 1 in V161039 and 1,2,3...   \n",
       "1296  -1. Inap 2 in V161025x, 1 in V161039 and 1,2,3...   \n",
       "\n",
       "                                                V161042  \\\n",
       "1383  -1. Inap, 1,2,4,5,7 in V161025x /3 in V161025x...   \n",
       "1809  -1. Inap, 1,2,4,5,7 in V161025x /3 in V161025x...   \n",
       "1296  -1. Inap, 1,2,4,5,7 in V161025x /3 in V161025x...   \n",
       "\n",
       "                                                V161043  \\\n",
       "1383  -1. Inap, 3 in V161025x and 2,-8,-9 in V161042...   \n",
       "1809  -1. Inap, 3 in V161025x and 2,-8,-9 in V161042...   \n",
       "1296  -1. Inap, 3 in V161025x and 2,-8,-9 in V161042...   \n",
       "\n",
       "                                                V161044  \\\n",
       "1383  -1. Inap 2,-8,-9 in V161042 and 3,6 in V161025...   \n",
       "1809  -1. Inap 2,-8,-9 in V161042 and 3,6 in V161025...   \n",
       "1296  -1. Inap 2,-8,-9 in V161042 and 3,6 in V161025...   \n",
       "\n",
       "                                               V161045x  \\\n",
       "1383  31. Senate and Governor races- registration st...   \n",
       "1809  11. Senate race- registration state (R registe...   \n",
       "1296  11. Senate race- registration state (R registe...   \n",
       "\n",
       "                                                V161046  \\\n",
       "1383  -1. Inap,1,4 in V161025x and 01,21 in V161045x...   \n",
       "1809  -1. Inap,1,4 in V161025x and 01,21 in V161045x...   \n",
       "1296  -1. Inap,1,4 in V161025x and 01,21 in V161045x...   \n",
       "\n",
       "                                                V161047  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161046 /1 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161046 /1 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161046 /1 in V161025x an...   \n",
       "\n",
       "                                                V161048 V161049  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161046 /4 in V161025x an...  1. Yes   \n",
       "1809  -1. Inap, 2,-8,-9 in V161046 /4 in V161025x an...   2. No   \n",
       "1296  -1. Inap, 2,-8,-9 in V161046 /4 in V161025x an...  1. Yes   \n",
       "\n",
       "                                                V161050  \\\n",
       "1383                     1. Democratic Senate candidate   \n",
       "1809  -1. Inap, 2,-8,-9 in V161049 /2 in V161025x an...   \n",
       "1296                     2. Republican Senate candidate   \n",
       "\n",
       "                                                V161051  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161049 /5 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161049 /5 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161049 /5 in V161025x an...   \n",
       "\n",
       "                                                V161052  \\\n",
       "1383  -1. Inap, 3,6 in V161025x and 00,20 in V161045...   \n",
       "1809  -1. Inap, 3,6 in V161025x and 00,20 in V161045...   \n",
       "1296  -1. Inap, 3,6 in V161025x and 00,20 in V161045...   \n",
       "\n",
       "                                                V161053  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161052 /3 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161052 /3 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161052 /3 in V161025x an...   \n",
       "\n",
       "                                                V161054  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161052 /6 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161052 /6 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161052 /6 in V161025x an...   \n",
       "\n",
       "                                                V161055  \\\n",
       "1383  -1. Inap, 1,4 in V161025x and 01,11 in V161045...   \n",
       "1809  -1. Inap, 1,4 in V161025x and 01,11 in V161045...   \n",
       "1296  -1. Inap, 1,4 in V161025x and 01,11 in V161045...   \n",
       "\n",
       "                                                V161056  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161055 /1 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161055 /1 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161055 /1 in V161025x an...   \n",
       "\n",
       "                                                V161057  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161055 /4 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161055 /4 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161055 /4 in V161025x an...   \n",
       "\n",
       "                                                V161058  \\\n",
       "1383                                             1. Yes   \n",
       "1809  -1. Inap, 2,5 in V161025x and 00,01,10,11 in V...   \n",
       "1296  -1. Inap, 2,5 in V161025x and 00,01,10,11 in V...   \n",
       "\n",
       "                                                V161059  \\\n",
       "1383                   2. Republican Governor candidate   \n",
       "1809  -1. Inap, 2,-8,-9 in V161058 /2 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161058 /2 in V161025x an...   \n",
       "\n",
       "                                                V161060  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161058 /5 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161058 /5 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161058 /5 in V161025x an...   \n",
       "\n",
       "                                                V161061  \\\n",
       "1383  -1. Inap, 3,6 in V161025x and 00,10 in V161945...   \n",
       "1809  -1. Inap, 3,6 in V161025x and 00,10 in V161945...   \n",
       "1296  -1. Inap, 3,6 in V161025x and 00,10 in V161945...   \n",
       "\n",
       "                                                V161062  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161061 /3 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161061 /3 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161061 /3 in V161025x an...   \n",
       "\n",
       "                                                V161063  \\\n",
       "1383  -1. Inap, 2,-8,-9 in V161061 /6 in V161025x an...   \n",
       "1809  -1. Inap, 2,-8,-9 in V161061 /6 in V161025x an...   \n",
       "1296  -1. Inap, 2,-8,-9 in V161061 /6 in V161025x an...   \n",
       "\n",
       "                                               V161064x  \\\n",
       "1383  21. Republican Presidential candidate: intend ...   \n",
       "1809  20. Democratic Presidential candidate: intend ...   \n",
       "1296  22. Other Presidential candidate: intend to vo...   \n",
       "\n",
       "                                               V161065x  \\\n",
       "1383  21. Republican House candidate: intend to vote...   \n",
       "1809              -1. Inap, no vote /intent /preference   \n",
       "1296  21. Republican House candidate: intend to vote...   \n",
       "\n",
       "                                               V161066x  \\\n",
       "1383  20. Democratic Senate candidate: intend to vot...   \n",
       "1809  -1. Inap, no vote /intent /preference /no Sena...   \n",
       "1296  21. Republican Senate candidate: intend to vot...   \n",
       "\n",
       "                                               V161067x V161068  \\\n",
       "1383  21. Republican Gubernatorial candidate: intend...   2. No   \n",
       "1809  -1. No vote /intent /preference /no Governor r...  1. Yes   \n",
       "1296  -1. No vote /intent /preference /no Governor r...   2. No   \n",
       "\n",
       "                                             V161069  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161070a V161071  \\\n",
       "1383  -2. Coded data available in a future release  1. Yes   \n",
       "1809  -2. Coded data available in a future release  1. Yes   \n",
       "1296  -2. Coded data available in a future release  1. Yes   \n",
       "\n",
       "                                             V161072  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161073a V161074  \\\n",
       "1383  -2. Coded data available in a future release  1. Yes   \n",
       "1809  -2. Coded data available in a future release   2. No   \n",
       "1296  -2. Coded data available in a future release  1. Yes   \n",
       "\n",
       "                                             V161075  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161076a V161077  \\\n",
       "1383  -2. Coded data available in a future release   2. No   \n",
       "1809  -2. Coded data available in a future release  1. Yes   \n",
       "1296  -2. Coded data available in a future release  1. Yes   \n",
       "\n",
       "                                             V161078  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161079a        V161080  \\\n",
       "1383  -2. Coded data available in a future release  2. Disapprove   \n",
       "1809  -2. Coded data available in a future release  2. Disapprove   \n",
       "1296  -2. Coded data available in a future release  2. Disapprove   \n",
       "\n",
       "             V161080a                    V161080x             V161081  \\\n",
       "1383      1. Strongly      4. Disapprove strongly      2. Wrong track   \n",
       "1809  2. Not strongly  3. Disapprove not strongly  1. Right direction   \n",
       "1296      1. Strongly      4. Disapprove strongly      2. Wrong track   \n",
       "\n",
       "            V161082     V161082a                V161082x        V161083  \\\n",
       "1383  2. Disapprove  1. Strongly  4. Disapprove strongly  2. Disapprove   \n",
       "1809     1. Approve  1. Strongly     1. Approve strongly     1. Approve   \n",
       "1296  2. Disapprove  1. Strongly  4. Disapprove strongly  2. Disapprove   \n",
       "\n",
       "         V161083a                V161083x        V161084     V161084a  \\\n",
       "1383  1. Strongly  4. Disapprove strongly  2. Disapprove  1. Strongly   \n",
       "1809  1. Strongly     1. Approve strongly     1. Approve  1. Strongly   \n",
       "1296  1. Strongly  4. Disapprove strongly  2. Disapprove  1. Strongly   \n",
       "\n",
       "                    V161084x        V161085         V161085a  \\\n",
       "1383  4. Disapprove strongly  2. Disapprove      1. Strongly   \n",
       "1809     1. Approve strongly  2. Disapprove  2. Not strongly   \n",
       "1296  4. Disapprove strongly  2. Disapprove      1. Strongly   \n",
       "\n",
       "                        V161085x V161086 V161087 V161088 V161089 V161090  \\\n",
       "1383      4. Disapprove strongly     0.0   100.0    15.0    50.0     0.0   \n",
       "1809  3. Disapprove not strongly    70.0     1.0    28.0    50.0    61.0   \n",
       "1296      4. Disapprove strongly    20.0    60.0    60.0    50.0    50.0   \n",
       "\n",
       "     V161091 V161092 V161093 V161094 V161095 V161096 V161097  \\\n",
       "1383   100.0     0.0     0.0    50.0     0.0    70.0   2. No   \n",
       "1809     3.0    86.0    71.0    97.0    61.0    43.0  1. Yes   \n",
       "1296    40.0    10.0    30.0    30.0     0.0    40.0   2. No   \n",
       "\n",
       "                                             V161098  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161099a V161100  \\\n",
       "1383  -2. Coded data available in a future release  1. Yes   \n",
       "1809  -2. Coded data available in a future release   2. No   \n",
       "1296  -2. Coded data available in a future release  1. Yes   \n",
       "\n",
       "                                             V161101  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161102a V161103  \\\n",
       "1383  -2. Coded data available in a future release  1. Yes   \n",
       "1809  -2. Coded data available in a future release  1. Yes   \n",
       "1296  -2. Coded data available in a future release  1. Yes   \n",
       "\n",
       "                                             V161104  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161105a V161106  \\\n",
       "1383  -2. Coded data available in a future release  1. Yes   \n",
       "1809  -2. Coded data available in a future release  1. Yes   \n",
       "1296  -2. Coded data available in a future release  1. Yes   \n",
       "\n",
       "                                             V161107  \\\n",
       "1383  -2. Redacted text available in a separate file   \n",
       "1809  -2. Redacted text available in a separate file   \n",
       "1296  -2. Redacted text available in a separate file   \n",
       "\n",
       "                                          V161108a V161109  \\\n",
       "1383  -2. Coded data available in a future release     2.0   \n",
       "1809  -2. Coded data available in a future release     0.0   \n",
       "1296  -2. Coded data available in a future release     3.0   \n",
       "\n",
       "                    V161110                 V161111 V161112    V161113  \\\n",
       "1383      3. About the same   4. Somewhat worse off  1. Yes  2. Oppose   \n",
       "1809      3. About the same       3. About the same   2. No   1. Favor   \n",
       "1296  4. Somewhat worse off  2. Somewhat better off  1. Yes  2. Oppose   \n",
       "\n",
       "                            V161114a                        V161114b  \\\n",
       "1383  -1. INAP, 2,3,-8,-9 in V161113                 1. A great deal   \n",
       "1809                   2. Moderately  -1. INAP, 1,3,-8,-9 in V161113   \n",
       "1296  -1. INAP, 2,3,-8,-9 in V161113                 1. A great deal   \n",
       "\n",
       "                    V161114x       V161115              V161116  \\\n",
       "1383  7. Oppose a great deal       4. Fair            5. Always   \n",
       "1809     2. Favor moderately  1. Excellent  2. Some of the time   \n",
       "1296  7. Oppose a great deal  2. Very good            5. Always   \n",
       "\n",
       "                  V161117              V161118              V161119  \\\n",
       "1383             1. Never            5. Always             1. Never   \n",
       "1809  4. Most of the time             1. Never  4. Most of the time   \n",
       "1296             1. Never  2. Some of the time             1. Never   \n",
       "\n",
       "                     V161120              V161121                 V161122  \\\n",
       "1383               5. Always             1. Never               5. Always   \n",
       "1809                1. Never  4. Most of the time                1. Never   \n",
       "1296  3. About half the time  2. Some of the time  3. About half the time   \n",
       "\n",
       "                  V161123                 V161124              V161125  \\\n",
       "1383             1. Never               5. Always  2. Some of the time   \n",
       "1809  4. Most of the time                1. Never  4. Most of the time   \n",
       "1296             1. Never  3. About half the time  2. Some of the time   \n",
       "\n",
       "                        V161126                           V161127  \\\n",
       "1383  7. Extremely conservative  -1. INAP, 1,2,3,5,6,7 in V161126   \n",
       "1809                 2. Liberal  -1. INAP, 1,2,3,5,6,7 in V161126   \n",
       "1296            6. Conservative  -1. INAP, 1,2,3,5,6,7 in V161126   \n",
       "\n",
       "                              V161128                   V161129  \\\n",
       "1383             1. Extremely liberal           6. Conservative   \n",
       "1809  4. Moderate, middle of the road           6. Conservative   \n",
       "1296             1. Extremely liberal  5. Slightly conservative   \n",
       "\n",
       "                   V161130                    V161131  \\\n",
       "1383  1. Extremely liberal            6. Conservative   \n",
       "1809            2. Liberal            6. Conservative   \n",
       "1296            2. Liberal  7. Extremely conservative   \n",
       "\n",
       "                                                V161132  \\\n",
       "1383  20. Assigned to late placement - nonvoter (PLA...   \n",
       "1809  20. Assigned to late placement - nonvoter (PLA...   \n",
       "1296  20. Assigned to late placement - nonvoter (PLA...   \n",
       "\n",
       "                                                V161133  \\\n",
       "1383  -1. INAP, voter (11 in V161132) /late placemen...   \n",
       "1809  -1. INAP, voter (11 in V161132) /late placemen...   \n",
       "1296  -1. INAP, voter (11 in V161132) /late placemen...   \n",
       "\n",
       "                                         V161134a  \\\n",
       "1383  -1. INAP, late placement (20,21 in V161132)   \n",
       "1809  -1. INAP, late placement (20,21 in V161132)   \n",
       "1296  -1. INAP, late placement (20,21 in V161132)   \n",
       "\n",
       "                                         V161134b  \\\n",
       "1383  -1. INAP, late placement (20,21 in V161132)   \n",
       "1809  -1. INAP, late placement (20,21 in V161132)   \n",
       "1296  -1. INAP, late placement (20,21 in V161132)   \n",
       "\n",
       "                                         V161135a  \\\n",
       "1383  -1. INAP, late placement (20,21 in V161132)   \n",
       "1809  -1. INAP, late placement (20,21 in V161132)   \n",
       "1296  -1. INAP, late placement (20,21 in V161132)   \n",
       "\n",
       "                                         V161135b  \\\n",
       "1383  -1. INAP, late placement (20,21 in V161132)   \n",
       "1809  -1. INAP, late placement (20,21 in V161132)   \n",
       "1296  -1. INAP, late placement (20,21 in V161132)   \n",
       "\n",
       "                                     V161136    V161137     V161138a  \\\n",
       "1383  1. Better when one party controls both  1. Larger  2. Somewhat   \n",
       "1809         2. Better when control is split  1. Larger  2. Somewhat   \n",
       "1296  1. Better when one party controls both  1. Larger  2. Somewhat   \n",
       "\n",
       "                            V161138b            V161138x      V161139  \\\n",
       "1383  -1. INAP, 1,3,-8,-9 in V161137  2. Somewhat larger  5. Very bad   \n",
       "1809  -1. INAP, 1,3,-8,-9 in V161137  2. Somewhat larger      2. Good   \n",
       "1296  -1. INAP, 1,3,-8,-9 in V161137  2. Somewhat larger       4. Bad   \n",
       "\n",
       "                       V161140                      V161140a  \\\n",
       "1383           3. Gotten worse                   2. Somewhat   \n",
       "1809  2. Stayed about the same  -1. INAP, 2,-8,-9 in V161140   \n",
       "1296  2. Stayed about the same  -1. INAP, 2,-8,-9 in V161140   \n",
       "\n",
       "               V161140x                 V161141                      V161141a  \\\n",
       "1383  4. Somewhat worse            3. Get worse                       1. Much   \n",
       "1809  3. About the same  2. Stay about the same  -1. INAP, 2,-8,-9 in V161141   \n",
       "1296  3. About the same  2. Stay about the same  -1. INAP, 2,-8,-9 in V161141   \n",
       "\n",
       "               V161141x            V161142     V161142a            V161142x  \\\n",
       "1383  5. Get much worse           3. Worse      1. Much       5. Much worse   \n",
       "1809  3. About the same  2. About the same         -1.0   3. About the same   \n",
       "1296  3. About the same          1. Better  2. Somewhat  2. Somewhat better   \n",
       "\n",
       "                V161143                              V161144          V161145  \\\n",
       "1383            1. More                       2. Republicans  1. A great deal   \n",
       "1809  2. About the same  3. Not much difference between them  1. A great deal   \n",
       "1296  2. About the same                       2. Republicans  1. A great deal   \n",
       "\n",
       "                 V161146                V161147          V161148  \\\n",
       "1383     2. Donald Trump  2. Win by quite a bit  2. Donald Trump   \n",
       "1809  1. Hillary Clinton       1. Will be close  2. Donald Trump   \n",
       "1296    5. Other SPECIFY       1. Will be close  2. Donald Trump   \n",
       "\n",
       "                    V161149                                       V161150a  \\\n",
       "1383  2. Win by quite a bit  -1. INAP, selected for version 1B of question   \n",
       "1809       1. Will be close  -1. INAP, selected for version 1B of question   \n",
       "1296  2. Win by quite a bit                               1. Mainly a duty   \n",
       "\n",
       "                                           V161150b  \\\n",
       "1383                               2. Mainly a duty   \n",
       "1809                             1. Mainly a choice   \n",
       "1296  -1. INAP, selected for version 1A of question   \n",
       "\n",
       "                                               V161151a  \\\n",
       "1383                             2. Moderately strongly   \n",
       "1809  -1. INAP, 2,3,-8,-9 in V161150a or 1,3,-8,-9 i...   \n",
       "1296                                   1. Very strongly   \n",
       "\n",
       "                                               V161151b  \\\n",
       "1383  -1. INAP, 1,3,-8,-9 in V161150a or 2,3,-8,-9 i...   \n",
       "1809                             2. Moderately strongly   \n",
       "1296  -1. INAP, 1,3,-8,-9 in V161150a or 2,3,-8,-9 i...   \n",
       "\n",
       "                                               V161151x    V161152  \\\n",
       "1383  2. Moderately strongly feel that voting is a duty  1. Weaker   \n",
       "1809  6. Moderately strongly feel that voting is a c...  1. Weaker   \n",
       "1296        1. Very strongly feel that voting is a duty  1. Weaker   \n",
       "\n",
       "          V161153                V161154                 V161155  \\\n",
       "1383  2. Disagree        2. Very willing           2. Republican   \n",
       "1809  2. Disagree    4. A little willing          3. Independent   \n",
       "1296  2. Disagree  3. Moderately willing  5. Other party SPECIFY   \n",
       "\n",
       "                                V161155a                           V161156  \\\n",
       "1383  -1. INAP, 0,1,2,3,-8,-9 in V161155                         1. Strong   \n",
       "1809  -1. INAP, 0,1,2,3,-8,-9 in V161155  -1. INAP, 0,3,5,-8,-9 in V161155   \n",
       "1296              5. Other party SPECIFY  -1. INAP, 0,3,5,-8,-9 in V161155   \n",
       "\n",
       "                                                V161157  \\\n",
       "1383  -1. INAP, 1,2 in V161155 /-9 in V161155 (FTF O...   \n",
       "1809                            3. Closer to Democratic   \n",
       "1296                            1. Closer to Republican   \n",
       "\n",
       "                       V161158x             V161159             V161160  \\\n",
       "1383       7. Strong Republican  5. Not well at all  5. Not well at all   \n",
       "1809    3. Independent-Democrat   1. Extremely well        2. Very well   \n",
       "1296  5. Independent-Republican    4. Slightly well    4. Slightly well   \n",
       "\n",
       "                 V161161             V161162             V161163  \\\n",
       "1383  5. Not well at all  5. Not well at all    4. Slightly well   \n",
       "1809   1. Extremely well  3. Moderately well  3. Moderately well   \n",
       "1296  3. Moderately well  5. Not well at all    4. Slightly well   \n",
       "\n",
       "                 V161164             V161165             V161166  \\\n",
       "1383        2. Very well   1. Extremely well        2. Very well   \n",
       "1809  5. Not well at all  5. Not well at all  5. Not well at all   \n",
       "1296        2. Very well  3. Moderately well    4. Slightly well   \n",
       "\n",
       "                 V161167             V161168             V161169  \\\n",
       "1383        2. Very well   1. Extremely well  5. Not well at all   \n",
       "1809  5. Not well at all  3. Moderately well   1. Extremely well   \n",
       "1296  3. Moderately well   1. Extremely well    4. Slightly well   \n",
       "\n",
       "                 V161170                            V161171  \\\n",
       "1383  3. Moderately well  1. Compromises to get things done   \n",
       "1809  5. Not well at all  1. Compromises to get things done   \n",
       "1296  5. Not well at all  1. Compromises to get things done   \n",
       "\n",
       "                                     V161172  \\\n",
       "1383                   1. Entirely by voters   \n",
       "1809  3. Equally by voters and party leaders   \n",
       "1296                   1. Entirely by voters   \n",
       "\n",
       "                                                V161173          V161174  \\\n",
       "1383                                    1. Adequate job      4. A little   \n",
       "1809  2. Such a poor job that a third major party is...  1. A great deal   \n",
       "1296  2. Such a poor job that a third major party is...  1. A great deal   \n",
       "\n",
       "              V161175          V161176  \\\n",
       "1383  1. A great deal  1. A great deal   \n",
       "1809  1. A great deal         2. A lot   \n",
       "1296  1. A great deal  1. A great deal   \n",
       "\n",
       "                                                V161177  \\\n",
       "1383  2. Wait until next year for the new President ...   \n",
       "1809  1. Hold a vote on whether to confirm Merrick G...   \n",
       "1296  1. Hold a vote on whether to confirm Merrick G...   \n",
       "\n",
       "                                                V161178  \\\n",
       "1383                                                2.0   \n",
       "1809  99. Haven't thought much about this (FTF: DO N...   \n",
       "1296         1. Govt should provide many fewer services   \n",
       "\n",
       "                                        V161179  \\\n",
       "1383  7. Govt should provide many more services   \n",
       "1809                                        5.0   \n",
       "1296                                        6.0   \n",
       "\n",
       "                                         V161180  \\\n",
       "1383                                         4.0   \n",
       "1809  1. Govt should provide many fewer services   \n",
       "1296                                         3.0   \n",
       "\n",
       "                                       V161181  \\\n",
       "1383  7. Govt should increase defense spending   \n",
       "1809                                       2.0   \n",
       "1296                                       6.0   \n",
       "\n",
       "                                       V161182  \\\n",
       "1383  1. Govt should decrease defense spending   \n",
       "1809                                       2.0   \n",
       "1296                                       3.0   \n",
       "\n",
       "                                       V161183  \\\n",
       "1383  7. Govt should increase defense spending   \n",
       "1809  7. Govt should increase defense spending   \n",
       "1296                                       6.0   \n",
       "\n",
       "                                                V161184  \\\n",
       "1383                          7. Private insurance plan   \n",
       "1809  99. Haven't thought much about this (FTF: DO N...   \n",
       "1296                          7. Private insurance plan   \n",
       "\n",
       "                     V161185                    V161186  \\\n",
       "1383  1. Govt insurance plan  7. Private insurance plan   \n",
       "1809  1. Govt insurance plan  7. Private insurance plan   \n",
       "1296  1. Govt insurance plan                        6.0   \n",
       "\n",
       "                                 V161187                 V161188  \\\n",
       "1383  3. Keep these rules about the same       2. Very important   \n",
       "1809                   1. More difficult   3. Somewhat important   \n",
       "1296  3. Keep these rules about the same  1. Extremely important   \n",
       "\n",
       "                                              V161189  \\\n",
       "1383  7. Govt should let each person get ahead on own   \n",
       "1809                                              2.0   \n",
       "1296                                              6.0   \n",
       "\n",
       "                                                V161190  \\\n",
       "1383  1. Govt should see to jobs and standard of living   \n",
       "1809                                                2.0   \n",
       "1296                                                2.0   \n",
       "\n",
       "                                              V161191  \\\n",
       "1383  7. Govt should let each person get ahead on own   \n",
       "1809  7. Govt should let each person get ahead on own   \n",
       "1296                                              5.0   \n",
       "\n",
       "                                                V161192    V161193  \\\n",
       "1383  3. Allow to remain and eventually qualify for ...  2. Oppose   \n",
       "1809  3. Allow to remain and eventually qualify for ...  2. Oppose   \n",
       "1296    2. Have a guest worker program in order to work   1. Favor   \n",
       "\n",
       "             V161193a                V161194x  \\\n",
       "1383  1. A great deal  7. Oppose a great deal   \n",
       "1809      3. A little      5. Oppose a little   \n",
       "1296  1. A great deal   1. Favor a great deal   \n",
       "\n",
       "                                                V161195              V161195a  \\\n",
       "1383  2. Should be allowed to live and work in the U.S.  2. A moderate amount   \n",
       "1809  2. Should be allowed to live and work in the U.S.       1. A great deal   \n",
       "1296        1. Should be sent back where they came from  2. A moderate amount   \n",
       "\n",
       "                                               V161195x    V161196  \\\n",
       "1383  5. Should allow to stay - favor a moderate amount   1. Favor   \n",
       "1809       6. Should allow to stay - favor a great deal  2. Oppose   \n",
       "1296      2. Should send back - favor a moderate amount   1. Favor   \n",
       "\n",
       "                  V161196a                     V161196x  \\\n",
       "1383       1. A great deal        1. Favor a great deal   \n",
       "1809  2. A moderate amount  6. Oppose a moderate amount   \n",
       "1296  2. A moderate amount   2. Favor a moderate amount   \n",
       "\n",
       "                    V161197 V161198                     V161199 V161200  \\\n",
       "1383      1. Very important     6.0                         4.0     3.0   \n",
       "1809  2. Somewhat important     2.0  1. Govt should help Blacks     6.0   \n",
       "1296      1. Very important     6.0                         2.0     4.0   \n",
       "\n",
       "                                                V161201  \\\n",
       "1383                                                6.0   \n",
       "1809  1. Regulate business to protect the environmen...   \n",
       "1296                                                6.0   \n",
       "\n",
       "                                                V161202  \\\n",
       "1383  1. Regulate business to protect the environmen...   \n",
       "1809                                                3.0   \n",
       "1296  1. Regulate business to protect the environmen...   \n",
       "\n",
       "                                                V161203    V161204  \\\n",
       "1383  7. No regulation because it will not work and ...  2. Oppose   \n",
       "1809  7. No regulation because it will not work and ...   1. Favor   \n",
       "1296                                                6.0  2. Oppose   \n",
       "\n",
       "                            V161204a                        V161204b  \\\n",
       "1383  -1. INAP, 2,3,-8,-9 in V161204                 1. A great deal   \n",
       "1809            2. A moderate amount  -1. INAP, 1,3,-8,-9 in V161204   \n",
       "1296  -1. INAP, 2,3,-8,-9 in V161204                 1. A great deal   \n",
       "\n",
       "                        V161204x           V161205       V161206  \\\n",
       "1383      7. Oppose a great deal      1. Increased  2. Decreased   \n",
       "1809  2. Favor a moderate amount      1. Increased  1. Increased   \n",
       "1296      7. Oppose a great deal  3. Kept the same  2. Decreased   \n",
       "\n",
       "           V161207           V161208       V161209           V161210  \\\n",
       "1383  1. Increased      1. Increased  2. Decreased  3. Kept the same   \n",
       "1809  1. Increased      2. Decreased  2. Decreased      1. Increased   \n",
       "1296  1. Increased  3. Kept the same  2. Decreased      2. Decreased   \n",
       "\n",
       "               V161211       V161212    V161213              V161213a  \\\n",
       "1383  3. Kept the same  2. Decreased   1. Favor  2. A moderate amount   \n",
       "1809      1. Increased  1. Increased  2. Oppose           3. A little   \n",
       "1296      2. Decreased  2. Decreased   1. Favor       1. A great deal   \n",
       "\n",
       "                        V161213x    V161214         V161214a  \\\n",
       "1383  2. Favor a moderate amount  2. Oppose  1. A great deal   \n",
       "1809          5. Oppose a little   1. Favor      3. A little   \n",
       "1296       1. Favor a great deal  2. Oppose  1. A great deal   \n",
       "\n",
       "                    V161214x              V161215  \\\n",
       "1383  7. Oppose a great deal  4. Some of the time   \n",
       "1809       3. Favor a little  4. Some of the time   \n",
       "1296  7. Oppose a great deal  4. Some of the time   \n",
       "\n",
       "                            V161216         V161217        V161218  \\\n",
       "1383  1. Run by a few big interests  1. Waste a lot  3. About half   \n",
       "1809  1. Run by a few big interests  1. Waste a lot  3. About half   \n",
       "1296  1. Run by a few big interests  1. Waste a lot  3. About half   \n",
       "\n",
       "                  V161219         V161220                         V161221  \\\n",
       "1383  4. Some of the time         2. Some  1. Has probably been happening   \n",
       "1809  2. Most of the time  1. A good deal  1. Has probably been happening   \n",
       "1296  2. Most of the time     3. Not much  1. Has probably been happening   \n",
       "\n",
       "                          V161222    V161223  \\\n",
       "1383  1. Mostly by human activity   1. Favor   \n",
       "1809  1. Mostly by human activity  2. Oppose   \n",
       "1296  2. Mostly by natural causes   1. Favor   \n",
       "\n",
       "                                     V161224                      V161224a  \\\n",
       "1383  3. Is currently doing the right amount  -1. INAP, 3,-8,-9 in V161224   \n",
       "1809                 1. Should be doing more                 1. Great deal   \n",
       "1296                 2. Should be doing less                 1. Great deal   \n",
       "\n",
       "                                  V161225x   V161226              V161226a  \\\n",
       "1383   4. Currently doing the right amount  1. Favor  2. A moderate amount   \n",
       "1809  1. Should be doing a great deal more  1. Favor       1. A great deal   \n",
       "1296  7. Should be doing a great deal less  1. Favor  2. A moderate amount   \n",
       "\n",
       "                        V161226x                                    V161227  \\\n",
       "1383  2. Favor a moderate amount             1. Should be allowed to refuse   \n",
       "1809       1. Favor a great deal  2. Should be required to provide services   \n",
       "1296  2. Favor a moderate amount             1. Should be allowed to refuse   \n",
       "\n",
       "              V161227a                                           V161227x  \\\n",
       "1383  1. Very strongly  1. Feel very strongly- should be allowed to re...   \n",
       "1809  1. Very strongly  6. Feel very strongly - should be required to ...   \n",
       "1296  1. Very strongly  1. Feel very strongly- should be allowed to re...   \n",
       "\n",
       "                                                V161228          V161228a  \\\n",
       "1383  1. Have to use the bathrooms of the gender the...  1. Very strongly   \n",
       "1809  2. Be allowed to use the bathrooms of their id...  1. Very strongly   \n",
       "1296  1. Have to use the bathrooms of the gender the...  1. Very strongly   \n",
       "\n",
       "                                               V161228x    V161229  \\\n",
       "1383  1. Feel very strongly- bathroom of the gender ...  2. Oppose   \n",
       "1809  6. Feel very strongly - bathroom of identified...   1. Favor   \n",
       "1296  1. Feel very strongly- bathroom of the gender ...   1. Favor   \n",
       "\n",
       "         V161229a            V161229x V161230  \\\n",
       "1383  1. Strongly  4. Oppose strongly   2. No   \n",
       "1809  1. Strongly   1. Favor strongly  1. Yes   \n",
       "1296  1. Strongly   1. Favor strongly  1. Yes   \n",
       "\n",
       "                                                V161231  \\\n",
       "1383  3. There should be no legal recognition of a g...   \n",
       "1809  1. Gay and lesbian couples should be allowed t...   \n",
       "1296  1. Gay and lesbian couples should be allowed t...   \n",
       "\n",
       "                                                V161232    V161233  \\\n",
       "1383     1. By law, abortion should never be permitted.   1. Favor   \n",
       "1809  4. By law, abortion as a matter of personal ch...  2. Oppose   \n",
       "1296  3. By law, for reasons other than rape, incest...   1. Favor   \n",
       "\n",
       "             V161233a                V161233x         V161234  \\\n",
       "1383      1. Strongly       1. Favor strongly  2. Less secure   \n",
       "1809  2. Not strongly  3. Oppose not strongly  1. More secure   \n",
       "1296      1. Strongly       1. Favor strongly  2. Less secure   \n",
       "\n",
       "                V161235                      V161235a           V161235x  \\\n",
       "1383           2. Worse                   2. Somewhat  4. Somewhat worse   \n",
       "1809  3. About the same  -1. INAP, 3.-8,-9 in V161235  3. About the same   \n",
       "1296           2. Worse                       1. Much      5. Much worse   \n",
       "\n",
       "                  V161236              V161237              V161238 V161239a  \\\n",
       "1383            5. Always             1. Never  1. Extremely likely     35.0   \n",
       "1809             1. Never  4. Most of the time  1. Extremely likely     60.0   \n",
       "1296  2. Some of the time             1. Never  1. Extremely likely     47.0   \n",
       "\n",
       "     V161239b V161240a V161240b           V161241  \\\n",
       "1383     65.0     20.0     80.0      1. Important   \n",
       "1809     30.0     60.0     40.0  2. Not important   \n",
       "1296     49.0     33.0     66.0      1. Important   \n",
       "\n",
       "                           V161242  \\\n",
       "1383               3. A great deal   \n",
       "1809  -1. INAP, 2,-8,-9 in V161241   \n",
       "1296                       1. Some   \n",
       "\n",
       "                                                V161243 V161244  \\\n",
       "1383  1. The Bible is the actual word of God and is ...  1. Yes   \n",
       "1809  3. The Bible is a book written by men and is n...   2. No   \n",
       "1296  1. The Bible is the actual word of God and is ...  1. Yes   \n",
       "\n",
       "                           V161245  \\\n",
       "1383          2. Almost every week   \n",
       "1809  -1. INAP, 2,-8,-9 in V161244   \n",
       "1296         4. A few times a year   \n",
       "\n",
       "                                               V161245a  \\\n",
       "1383  -1. INAP, 2-5,-8,-9 in V161245 /2,-8,-9 in V16...   \n",
       "1809  -1. INAP, 2-5,-8,-9 in V161245 /2,-8,-9 in V16...   \n",
       "1296  -1. INAP, 2-5,-8,-9 in V161245 /2,-8,-9 in V16...   \n",
       "\n",
       "                                              V161246  \\\n",
       "1383  -1. INAP, 1 in V161244 and 1-4,-8,-9 in V161245   \n",
       "1809                                            2. No   \n",
       "1296  -1. INAP, 1 in V161244 and 1-4,-8,-9 in V161245   \n",
       "\n",
       "                                               V161247a  \\\n",
       "1383                                      1. Protestant   \n",
       "1809  -1. INAP, 2,-8,-9 in V161244 /1 in V161244 and...   \n",
       "1296                                      1. Protestant   \n",
       "\n",
       "                                               V161247b  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V1...   \n",
       "1809  -1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V1...   \n",
       "1296  -1. INAP, 2,-8,-9 in V161244 and 2,-8,-9 in V1...   \n",
       "\n",
       "                                                V161248  \\\n",
       "1383                22. Non-denominational - Protestant   \n",
       "1809  -1. INAP, 2,3,-8,-9 in V161247b /2,3,-8,-9 in ...   \n",
       "1296                                        3. Lutheran   \n",
       "\n",
       "                                                V161249  \\\n",
       "1383  -1. INAP, 2-30,95,-8,-9 in V161248 /2,3,-8,-9 ...   \n",
       "1809  -1. INAP, 2-30,95,-8,-9 in V161248 /2,3,-8,-9 ...   \n",
       "1296  -1. INAP, 2-30,95,-8,-9 in V161248 /2,3,-8,-9 ...   \n",
       "\n",
       "                                                V161250  \\\n",
       "1383  -1. INAP, 1-5,-8,-9 in V161249 /2-30,95,-8,-9 ...   \n",
       "1809  -1. INAP, 1-5,-8,-9 in V161249 /2-30,95,-8,-9 ...   \n",
       "1296  -1. INAP, 1-5,-8,-9 in V161249 /2-30,95,-8,-9 ...   \n",
       "\n",
       "                                                V161251  \\\n",
       "1383  -1. INAP, 1,2,4-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1809  -1. INAP, 1,2,4-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1296                                  2. Missouri Synod   \n",
       "\n",
       "                                                V161252  \\\n",
       "1383  -1. INAP, 1-3,5-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1809  -1. INAP, 1-3,5-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1296  -1. INAP, 1-3,5-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "\n",
       "                                                V161253  \\\n",
       "1383  -1. INAP, 1-5,7-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1809  -1. INAP, 1-5,7-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1296  -1. INAP, 1-5,7-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "\n",
       "                                                V161254  \\\n",
       "1383  -1. INAP, 1-6,8-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1809  -1. INAP, 1-6,8-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1296  -1. INAP, 1-6,8-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "\n",
       "                                                V161255  \\\n",
       "1383  -1. INAP, 1-7,9-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1809  -1. INAP, 1-7,9-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "1296  -1. INAP, 1-7,9-30,95,-8,-9 in V161248 /2,3,-8...   \n",
       "\n",
       "                                                V161256  \\\n",
       "1383  -1. INAP, 1-9,11-30,95,-8,-9 in V161248 /2,3,-...   \n",
       "1809  -1. INAP, 1-9,11-30,95,-8,-9 in V161248 /2,3,-...   \n",
       "1296  -1. INAP, 1-9,11-30,95,-8,-9 in V161248 /2,3,-...   \n",
       "\n",
       "                                                V161257  \\\n",
       "1383  -1. INAP, 1-11,13-30,95,-8,-9 in V161248 /2,3,...   \n",
       "1809  -1. INAP, 1-11,13-30,95,-8,-9 in V161248 /2,3,...   \n",
       "1296  -1. INAP, 1-11,13-30,95,-8,-9 in V161248 /2,3,...   \n",
       "\n",
       "                                                V161258  \\\n",
       "1383  -1. INAP, 1-14,16-30,95,-8,-9 in V161248 /2,3,...   \n",
       "1809  -1. INAP, 1-14,16-30,95,-8,-9 in V161248 /2,3,...   \n",
       "1296  -1. INAP, 1-14,16-30,95,-8,-9 in V161248 /2,3,...   \n",
       "\n",
       "                                                V161259  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                                V161260  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                                V161261  \\\n",
       "1383  -1. INAP, 1-30,-8,-9 in V161248 /2,3,-8,-9 in ...   \n",
       "1809  -1. INAP, 1-30,-8,-9 in V161248 /2,3,-8,-9 in ...   \n",
       "1296  -1. INAP, 1-30,-8,-9 in V161248 /2,3,-8,-9 in ...   \n",
       "\n",
       "                                               V161262a  \\\n",
       "1383  -1. INAP, 1,2,4,-8,-9 in V161247a /2,-8,-9 in ...   \n",
       "1809  -1. INAP, 1,2,4,-8,-9 in V161247a /2,-8,-9 in ...   \n",
       "1296  -1. INAP, 1,2,4,-8,-9 in V161247a /2,-8,-9 in ...   \n",
       "\n",
       "                                               V161262b  \\\n",
       "1383  -1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V16124...   \n",
       "1809  -1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V16124...   \n",
       "1296  -1. INAP, 1,2,4,-8,-9 in V161247b; 1 in V16124...   \n",
       "\n",
       "                                                V161263  \\\n",
       "1383                                             1. Yes   \n",
       "1809  -1. INAP, 2,-8,-9 in V161261/27-30 in V161248/...   \n",
       "1296                                              2. No   \n",
       "\n",
       "                                               V161264x  \\\n",
       "1383  010. Protestant, NFS, other, unknown, inter-, ...   \n",
       "1809                                          880. None   \n",
       "1296        221. Lutheran Church, Missouri Synod; LC-MS   \n",
       "\n",
       "                           V161265x         V161266a         V161266b  \\\n",
       "1383  5. Undifferentiated Christian      1. Selected  0. Not selected   \n",
       "1809               8. Not religious  0. Not selected  0. Not selected   \n",
       "1296      2. Evangelical Protestant  0. Not selected  0. Not selected   \n",
       "\n",
       "             V161266c         V161266d         V161266e         V161266f  \\\n",
       "1383      1. Selected      1. Selected      1. Selected  0. Not selected   \n",
       "1809  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "1296  0. Not selected  0. Not selected      1. Selected  0. Not selected   \n",
       "\n",
       "             V161266g         V161266h         V161266j         V161266k  \\\n",
       "1383  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "1809  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "1296  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "\n",
       "             V161266m         V161266n         V161266p V161267  \\\n",
       "1383  0. Not selected  0. Not selected  0. Not selected    64.0   \n",
       "1809      1. Selected  0. Not selected  0. Not selected    23.0   \n",
       "1296  0. Not selected  0. Not selected  0. Not selected    49.0   \n",
       "\n",
       "                                               V161267a  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                               V161267b V161267c  \\\n",
       "1383  -3. Restricted access, not available, protecti...   1952.0   \n",
       "1809  -3. Restricted access, not available, protecti...   1993.0   \n",
       "1296  -3. Restricted access, not available, protecti...   1967.0   \n",
       "\n",
       "                 V161267x                     V161268  \\\n",
       "1383  10. Age group 60-64  1. Married: spouse present   \n",
       "1809  02. Age group 21-24            6. Never married   \n",
       "1296  07. Age group 45-49  1. Married: spouse present   \n",
       "\n",
       "                                                V161269  \\\n",
       "1383  -1. INAP, 1 in V161268 /2,-8,-9 in V161268 (FT...   \n",
       "1809                   2. No, not living with a partner   \n",
       "1296  -1. INAP, 1 in V161268 /2,-8,-9 in V161268 (FT...   \n",
       "\n",
       "                                                V161270  \\\n",
       "1383  9. High school graduate- high school diploma o...   \n",
       "1809    13. Bachelor's degree (for example: BA, AB, BS)   \n",
       "1296    13. Bachelor's degree (for example: BA, AB, BS)   \n",
       "\n",
       "                                   V161271  \\\n",
       "1383        1. Graduation from high school   \n",
       "1809  -1. INAP, 1-8,10-95,-8,-9 in V161270   \n",
       "1296  -1. INAP, 1-8,10-95,-8,-9 in V161270   \n",
       "\n",
       "                                                V161272  \\\n",
       "1383  9. High school graduate- high school diploma o...   \n",
       "1809  -1. INAP, 3,4,5,6 in V161268 and 2,-9 in V1612...   \n",
       "1296    13. Bachelor's degree (for example: BA, AB, BS)   \n",
       "\n",
       "                                                V161273  \\\n",
       "1383                     1. Graduation from high school   \n",
       "1809  -1. INAP, 1-8,10-99,-8,-9 in V161272 /3,4,5,6 ...   \n",
       "1296  -1. INAP, 1-8,10-99,-8,-9 in V161272 /3,4,5,6 ...   \n",
       "\n",
       "                                      V161274a  \\\n",
       "1383       0. Have never served on active duty   \n",
       "1809       0. Have never served on active duty   \n",
       "1296  1. Have previously served on active duty   \n",
       "\n",
       "                                               V161274b              V161275x  \\\n",
       "1383  -3. Restricted access for protection of respon...  10. Working now only   \n",
       "1809  -3. Restricted access for protection of respon...  10. Working now only   \n",
       "1296  -3. Restricted access for protection of respon...  10. Working now only   \n",
       "\n",
       "                                               V161276x  \\\n",
       "1383  1. R working now (if also retired, disabled, h...   \n",
       "1809  1. R working now (if also retired, disabled, h...   \n",
       "1296  1. R working now (if also retired, disabled, h...   \n",
       "\n",
       "                                        V161277                      V161278  \\\n",
       "1383  1. Initial employment status: working now  -1. INAP, 1-6,-9 in V161277   \n",
       "1809  1. Initial employment status: working now  -1. INAP, 1-6,-9 in V161277   \n",
       "1296  1. Initial employment status: working now  -1. INAP, 1-6,-9 in V161277   \n",
       "\n",
       "                                             V161279  \\\n",
       "1383  -1. INAP 1,-8,-9 in V161278 /1-6,-9 in V161277   \n",
       "1809  -1. INAP 1,-8,-9 in V161278 /1-6,-9 in V161277   \n",
       "1296  -1. INAP 1,-8,-9 in V161278 /1-6,-9 in V161277   \n",
       "\n",
       "                                               V161280a  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                               V161280b  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                            V161280c                            V161281  \\\n",
       "1383  -1. INAP 1-4,6-8,-9 in V161277  -1. INAP, 1,2,5,7,8,-9 in V161277   \n",
       "1809  -1. INAP 1-4,6-8,-9 in V161277  -1. INAP, 1,2,5,7,8,-9 in V161277   \n",
       "1296  -1. INAP 1-4,6-8,-9 in V161277  -1. INAP, 1,2,5,7,8,-9 in V161277   \n",
       "\n",
       "                                               V161282a  V161282b  \\\n",
       "1383  -2. Redacted text of open-end response availab...  -1. Inap   \n",
       "1809  -2. Redacted text of open-end response availab...  -1. Inap   \n",
       "1296  -2. Redacted text of open-end response availab...  -1. Inap   \n",
       "\n",
       "                                               V161283a  V161283b  \\\n",
       "1383  -2. Redacted text of open-end response availab...  -1. Inap   \n",
       "1809  -2. Redacted text of open-end response availab...  -1. Inap   \n",
       "1296  -2. Redacted text of open-end response availab...  -1. Inap   \n",
       "\n",
       "                                                V161284  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161281 /2,-8,-9 in V1612...   \n",
       "1809  -1. INAP, 2,-8,-9 in V161281 /2,-8,-9 in V1612...   \n",
       "1296  -1. INAP, 2,-8,-9 in V161281 /2,-8,-9 in V1612...   \n",
       "\n",
       "                                                V161285  \\\n",
       "1383  -1. INAP, 3,-8,-9 in V161284 /2,-8,-9 in V1612...   \n",
       "1809  -1. INAP, 3,-8,-9 in V161284 /2,-8,-9 in V1612...   \n",
       "1296  -1. INAP, 3,-8,-9 in V161284 /2,-8,-9 in V1612...   \n",
       "\n",
       "                                               V161286  \\\n",
       "1383  -1. INAP, 2,-9 in V161281 /1,2,7,8,-9 in V161277   \n",
       "1809  -1. INAP, 2,-9 in V161281 /1,2,7,8,-9 in V161277   \n",
       "1296  -1. INAP, 2,-9 in V161281 /1,2,7,8,-9 in V161277   \n",
       "\n",
       "                                                V161287  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161286 /2,-9 in V161281 ...   \n",
       "1809  -1. INAP, 2,-8,-9 in V161286 /2,-9 in V161281 ...   \n",
       "1296  -1. INAP, 2,-8,-9 in V161286 /2,-9 in V161281 ...   \n",
       "\n",
       "                                                V161288  \\\n",
       "1383  -1. INAP, 2 in V161281 and 6 in V161277 /-8,-9...   \n",
       "1809  -1. INAP, 2 in V161281 and 6 in V161277 /-8,-9...   \n",
       "1296  -1. INAP, 2 in V161281 and 6 in V161277 /-8,-9...   \n",
       "\n",
       "                                                V161289  \\\n",
       "1383  -1. INAP, 1 in V161288 /-8,-9 in V161288 (FTF ...   \n",
       "1809  -1. INAP, 1 in V161288 /-8,-9 in V161288 (FTF ...   \n",
       "1296  -1. INAP, 1 in V161288 /-8,-9 in V161288 (FTF ...   \n",
       "\n",
       "                                                V161290  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161289 /1,-8,-9 in V1612...   \n",
       "1809  -1. INAP, 2,-8,-9 in V161289 /1,-8,-9 in V1612...   \n",
       "1296  -1. INAP, 2,-8,-9 in V161289 /1,-8,-9 in V1612...   \n",
       "\n",
       "                                               V161291a  \\\n",
       "1383  -2. Redacted text of open-end response availab...   \n",
       "1809  -2. Redacted text of open-end response availab...   \n",
       "1296  -2. Redacted text of open-end response availab...   \n",
       "\n",
       "                                               V161291b  \\\n",
       "1383        53. Other Personal Care and Service Workers   \n",
       "1809  26. Entertainers and Performers, Sports and Re...   \n",
       "1296                    4. Other management Occupations   \n",
       "\n",
       "                                               V161292a  \\\n",
       "1383  -2. Redacted text of open-end response availab...   \n",
       "1809  -2. Redacted text of open-end response availab...   \n",
       "1296  -2. Redacted text of open-end response availab...   \n",
       "\n",
       "                                               V161292b           V161293  \\\n",
       "1383                    91. Private Households examples  3. Self-employed   \n",
       "1809  83. Performing Arts, Spectator Sports, and Rel...  3. Self-employed   \n",
       "1296    99. National Security and International Affairs   1. Someone else   \n",
       "\n",
       "                                                V161294 V161295  \\\n",
       "1383  -1. INAP, 3,-8,-9 in V161293 /2,-8,-9 in V1612...    40.0   \n",
       "1809  -1. INAP, 3,-8,-9 in V161293 /2,-8,-9 in V1612...    50.0   \n",
       "1296                                             1. Yes    40.0   \n",
       "\n",
       "             V161296        V161297 V161298 V161299  \\\n",
       "1383        2. Fewer    2. A little   2. No   2. No   \n",
       "1809  3. About right  1. Not at all   2. No   2. No   \n",
       "1296  3. About right  3. Moderately   2. No   2. No   \n",
       "\n",
       "                                      V161300a  \\\n",
       "1383                               1. Selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                               1. Selected   \n",
       "\n",
       "                                      V161300b  \\\n",
       "1383                           0. Not selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                           0. Not selected   \n",
       "\n",
       "                                      V161300c  \\\n",
       "1383                           0. Not selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                           0. Not selected   \n",
       "\n",
       "                                      V161300d  \\\n",
       "1383                           0. Not selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                           0. Not selected   \n",
       "\n",
       "                                      V161300e  \\\n",
       "1383                           0. Not selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                           0. Not selected   \n",
       "\n",
       "                                      V161300f  \\\n",
       "1383                           0. Not selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                           0. Not selected   \n",
       "\n",
       "                                      V161300g  \\\n",
       "1383                           0. Not selected   \n",
       "1809  -1. INAP, -9 in V161268 /2,-9 in V161269   \n",
       "1296                           0. Not selected   \n",
       "\n",
       "                                               V161301a  \\\n",
       "1383  -2. Redacted text of open-end response availab...   \n",
       "1809  -2. Redacted text of open-end response availab...   \n",
       "1296  -2. Redacted text of open-end response availab...   \n",
       "\n",
       "                      V161301b V161302                       V161303  \\\n",
       "1383                  -1. Inap   2. No  -1. INAP, 2,-8,-9 in V161302   \n",
       "1809                  -1. Inap   2. No  -1. INAP, 2,-8,-9 in V161302   \n",
       "1296  6. Financial Specialists  1. Yes            1. Respondent only   \n",
       "\n",
       "                                                V161304  \\\n",
       "1383  -1. INAP, selected for 2-question version of s...   \n",
       "1809  -1. INAP, selected for 2-question version of s...   \n",
       "1296                                             1. Yes   \n",
       "\n",
       "                                               V161305a  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161304 /selected for 2-q...   \n",
       "1809  -1. INAP, 2,-8,-9 in V161304 /selected for 2-q...   \n",
       "1296                                    1. Middle class   \n",
       "\n",
       "                                               V161305b  \\\n",
       "1383  -1. INAP, 1,-9 in V161304 /selected for 2-ques...   \n",
       "1809  -1. INAP, 1,-9 in V161304 /selected for 2-ques...   \n",
       "1296  -1. INAP, 1,-9 in V161304 /selected for 2-ques...   \n",
       "\n",
       "                                                V161306  \\\n",
       "1383  -1. INAP, 0,3,4,5,7,-8,-9 in V161305b /0,3,4,5...   \n",
       "1809  -1. INAP, 0,3,4,5,7,-8,-9 in V161305b /0,3,4,5...   \n",
       "1296                   1. Average middle /working class   \n",
       "\n",
       "                                                V161307  \\\n",
       "1383                                    3. Middle class   \n",
       "1809                                    3. Middle class   \n",
       "1296  -1. INAP, selected for 4-question version of  ...   \n",
       "\n",
       "                                               V161307a  \\\n",
       "1383                              3. Upper middle class   \n",
       "1809                                    2. Middle class   \n",
       "1296  -1. INAP, 1,2,4,-8,-9 in V161307 /selected for...   \n",
       "\n",
       "                                               V161308x V161309     V161310a  \\\n",
       "1383  -2. Coded summary will be available in future ...   2. No  1. Selected   \n",
       "1809  -2. Coded summary will be available in future ...   2. No  1. Selected   \n",
       "1296  -2. Coded summary will be available in future ...   2. No  1. Selected   \n",
       "\n",
       "             V161310b         V161310c         V161310d         V161310e  \\\n",
       "1383  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "1809  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "1296  0. Not selected  0. Not selected  0. Not selected  0. Not selected   \n",
       "\n",
       "             V161310f                 V161310g                V161310x  \\\n",
       "1383  0. Not selected  -1. 0,-8,-9 in V161310f  1. White, non-Hispanic   \n",
       "1809  0. Not selected  -1. 0,-8,-9 in V161310f  1. White, non-Hispanic   \n",
       "1296  0. Not selected  -1. 0,-8,-9 in V161310f  1. White, non-Hispanic   \n",
       "\n",
       "                                                V161311  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                               V161312a             V161313  \\\n",
       "1383  -3. Restricted access, not available, protecti...  -1. INAP, Web mode   \n",
       "1809  -3. Restricted access, not available, protecti...  -1. INAP, Web mode   \n",
       "1296  -3. Restricted access, not available, protecti...  -1. INAP, Web mode   \n",
       "\n",
       "                                                V161314  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                               V161314a  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                               V161315                  V161316  V161317  \\\n",
       "1383  1. Both parents born in the U.S.  1. A U.S. state or D.C.  0. None   \n",
       "1809  1. Both parents born in the U.S.  1. A U.S. state or D.C.  0. None   \n",
       "1296  1. Both parents born in the U.S.  1. A U.S. state or D.C.  0. None   \n",
       "\n",
       "                                                V161318  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                                V161319         V161319x  \\\n",
       "1383  -3. Restricted access, not available, protecti...  7. Not Hispanic   \n",
       "1809  -3. Restricted access, not available, protecti...  7. Not Hispanic   \n",
       "1296  -3. Restricted access, not available, protecti...  7. Not Hispanic   \n",
       "\n",
       "                           V161320  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161309   \n",
       "1809  -1. INAP, 2,-8,-9 in V161309   \n",
       "1296  -1. INAP, 2,-8,-9 in V161309   \n",
       "\n",
       "                                                V161321  \\\n",
       "1383  -3. Restricted access for protection of respon...   \n",
       "1809  -3. Restricted access for protection of respon...   \n",
       "1296  -3. Restricted access for protection of respon...   \n",
       "\n",
       "                          V161321a  \\\n",
       "1383  -1. INAP, 1,-8,-9 in V161316   \n",
       "1809  -1. INAP, 1,-8,-9 in V161316   \n",
       "1296  -1. INAP, 1,-8,-9 in V161316   \n",
       "\n",
       "                                                V161322  \\\n",
       "1383  -3. Restricted access for protection of respon...   \n",
       "1809  -3. Restricted access for protection of respon...   \n",
       "1296  -3. Restricted access for protection of respon...   \n",
       "\n",
       "                              V161322a                       V161323  \\\n",
       "1383  -1. INAP, 1,2,3,-8,-9 in V161316  -1. INAP, 2,-8,-9 in V161309   \n",
       "1809  -1. INAP, 1,2,3,-8,-9 in V161316  -1. INAP, 2,-8,-9 in V161309   \n",
       "1296  -1. INAP, 1,2,3,-8,-9 in V161316  -1. INAP, 2,-8,-9 in V161309   \n",
       "\n",
       "             V161324                      V161325a  \\\n",
       "1383  0. No children  -1. INAP, 0,-8,-9 in V161324   \n",
       "1809  0. No children  -1. INAP, 0,-8,-9 in V161324   \n",
       "1296  0. No children  -1. INAP, 0,-8,-9 in V161324   \n",
       "\n",
       "                          V161325b                      V161325c  \\\n",
       "1383  -1. INAP, 0,-8,-9 in V161324  -1. INAP, 0,-8,-9 in V161324   \n",
       "1809  -1. INAP, 0,-8,-9 in V161324  -1. INAP, 0,-8,-9 in V161324   \n",
       "1296  -1. INAP, 0,-8,-9 in V161324  -1. INAP, 0,-8,-9 in V161324   \n",
       "\n",
       "                          V161325d                      V161325e V161326  \\\n",
       "1383  -1. INAP, 0,-8,-9 in V161324  -1. INAP, 0,-8,-9 in V161324  1. Yes   \n",
       "1809  -1. INAP, 0,-8,-9 in V161324  -1. INAP, 0,-8,-9 in V161324  1. Yes   \n",
       "1296  -1. INAP, 0,-8,-9 in V161324  -1. INAP, 0,-8,-9 in V161324  1. Yes   \n",
       "\n",
       "                                V161327                    V161328  \\\n",
       "1383  3. Both landline and cell service  1. Yes, have a cell phone   \n",
       "1809               2. Only cell service  1. Yes, have a cell phone   \n",
       "1296               2. Only cell service  1. Yes, have a cell phone   \n",
       "\n",
       "                        V161329      V161330              V161331a V161331b  \\\n",
       "1383  1. Yes, have a smartphone  18. Indiana  40. 40 years or more      0.0   \n",
       "1809  1. Yes, have a smartphone  12. Florida                   1.0      1.0   \n",
       "1296  1. Yes, have a smartphone   41. Oregon                  20.0      0.0   \n",
       "\n",
       "                                               V161331x  \\\n",
       "1383                               40. 40 years or more   \n",
       "1809  1. 1 year or less (0 month 0 years - 1 year 6 ...   \n",
       "1296                                               20.0   \n",
       "\n",
       "                                                V161332  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                                V161333          V161334  \\\n",
       "1383  -3. Restricted access, not available, protecti...  2. Pay mortgage   \n",
       "1809  -3. Restricted access, not available, protecti...      1. Pay rent   \n",
       "1296  -3. Restricted access, not available, protecti...  2. Pay mortgage   \n",
       "\n",
       "                    V161335  \\\n",
       "1383   1. Have changed name   \n",
       "1809  2. Never changed name   \n",
       "1296  2. Never changed name   \n",
       "\n",
       "                                               V161335a V161336  V161337  \\\n",
       "1383  -3. Restricted access for protection of respon...   2. No      9.0   \n",
       "1809  -3. Restricted access for protection of respon...   2. No      1.0   \n",
       "1296  -3. Restricted access for protection of respon...   2. No      7.0   \n",
       "\n",
       "                                                V161338  \\\n",
       "1383  -3. Restricted access, not available, protecti...   \n",
       "1809  -3. Restricted access, not available, protecti...   \n",
       "1296  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                                     V161339  \\\n",
       "1383  1. Have a non-expired driver's license   \n",
       "1809  1. Have a non-expired driver's license   \n",
       "1296  1. Have a non-expired driver's license   \n",
       "\n",
       "                                  V161340  \\\n",
       "1383                   2. Do not have one   \n",
       "1809  1. Have a non-expired U.S. passport   \n",
       "1296  1. Have a non-expired U.S. passport   \n",
       "\n",
       "                                                V161341    V161342  \\\n",
       "1383  -1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V1...  2. Female   \n",
       "1809  -1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V1...  2. Female   \n",
       "1296  -1. INAP, 2,-8,-9 in V161339 and 2,-8,-9 in V1...    1. Male   \n",
       "\n",
       "                                               V161342a               V161343  \\\n",
       "1383  -3. Restricted access for protection of respon...  3. A moderate amount   \n",
       "1809  -3. Restricted access for protection of respon...         1. Not at all   \n",
       "1296  -3. Restricted access for protection of respon...           2. A little   \n",
       "\n",
       "            V161344             V161345            V161346  \\\n",
       "1383  1. Not at all   3. Not a feminist      5. Not at all   \n",
       "1809  1. Not at all  1. Strong feminist  1. Extremely well   \n",
       "1296  1. Not at all   3. Not a feminist      5. Not at all   \n",
       "\n",
       "                        V161347           V161348                    V161349  \\\n",
       "1383  -1. INAP, 5,-9 in V161346  3. Somewhat well          2. Very important   \n",
       "1809     1. Extremely important     5. Not at all  -1. INAP, 5,-9 in V161348   \n",
       "1296  -1. INAP, 5,-9 in V161346     5. Not at all  -1. INAP, 5,-9 in V161348   \n",
       "\n",
       "     V161350                                            V161351  \\\n",
       "1383  1. Yes  -3. Restricted access, not available, protecti...   \n",
       "1809   2. No  -3. Restricted access, not available, protecti...   \n",
       "1296  1. Yes  -3. Restricted access, not available, protecti...   \n",
       "\n",
       "                          V161352  \\\n",
       "1383  -1. INAP, not -9 in V161351   \n",
       "1809  -1. INAP, not -9 in V161351   \n",
       "1296  -1. INAP, not -9 in V161351   \n",
       "\n",
       "                                           V161353  \\\n",
       "1383  -1. INAP, 1,-9 in V161352 /not -9 in V161351   \n",
       "1809  -1. INAP, 1,-9 in V161352 /not -9 in V161351   \n",
       "1296  -1. INAP, 1,-9 in V161352 /not -9 in V161351   \n",
       "\n",
       "                                                V161354  \\\n",
       "1383  -1. INAP, 1,-9 in V161353 /1,-9 in V161352 /no...   \n",
       "1809  -1. INAP, 1,-9 in V161353 /1,-9 in V161352 /no...   \n",
       "1296  -1. INAP, 1,-9 in V161353 /1,-9 in V161352 /no...   \n",
       "\n",
       "                                                V161355  \\\n",
       "1383  -1. INAP, 2,-9 in V161353 /1,-9 in V161352 /no...   \n",
       "1809  -1. INAP, 2,-9 in V161353 /1,-9 in V161352 /no...   \n",
       "1296  -1. INAP, 2,-9 in V161353 /1,-9 in V161352 /no...   \n",
       "\n",
       "                                           V161356  \\\n",
       "1383  -1. INAP, 2,-9 in V161352 /not -9 in V161351   \n",
       "1809  -1. INAP, 2,-9 in V161352 /not -9 in V161351   \n",
       "1296  -1. INAP, 2,-9 in V161352 /not -9 in V161351   \n",
       "\n",
       "                                                V161357  \\\n",
       "1383  -1. INAP, 1,-9 in V161356  /2,-9 in V161352 /n...   \n",
       "1809  -1. INAP, 1,-9 in V161356  /2,-9 in V161352 /n...   \n",
       "1296  -1. INAP, 1,-9 in V161356  /2,-9 in V161352 /n...   \n",
       "\n",
       "                                                V161358  \\\n",
       "1383  -1. INAP, 2,-9 in V161356  /2,-9 in V161352 /n...   \n",
       "1809  -1. INAP, 2,-9 in V161356  /2,-9 in V161352 /n...   \n",
       "1296  -1. INAP, 2,-9 in V161356  /2,-9 in V161352 /n...   \n",
       "\n",
       "                                                V161359  \\\n",
       "1383  -1. INAP, 1,-9 in V161358 /2,-9 in V161356  /2...   \n",
       "1809  -1. INAP, 1,-9 in V161358 /2,-9 in V161356  /2...   \n",
       "1296  -1. INAP, 1,-9 in V161358 /2,-9 in V161356  /2...   \n",
       "\n",
       "                                                V161360  ...  \\\n",
       "1383  -1. INAP,2,-9 in V161358 /2,-9 in V161356  /2,...  ...   \n",
       "1809  -1. INAP,2,-9 in V161358 /2,-9 in V161356  /2,...  ...   \n",
       "1296  -1. INAP,2,-9 in V161358 /2,-9 in V161356  /2,...  ...   \n",
       "\n",
       "                        V165738                    V165739  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165740                    V165741  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165742                    V165743  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165744                    V165745  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165746                    V165747  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165748                    V165749  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165750                    V165751  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165752                    V165753  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165754                    V165755  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165756                    V165757  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165758                    V165759  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165760                    V165761  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165762                    V165763  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165764                    V165765  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165766                    V165767  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165768                    V165769  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165770                    V165771  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165772                    V165773  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165774                    V165775  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165776                    V165777  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165778                    V165779  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165780                    V165781  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165782                    V165783  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165784                    V165785  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165786                    V165787  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165788                    V165789  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165790                    V165791  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165792                    V165793  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165794                    V165795  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165796                    V165797  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                        V165798 V165799 V165800 V165801  \\\n",
       "1383  -5. Inapplicable question     3.0     3.0     3.0   \n",
       "1809  -5. Inapplicable question     1.0     1.0     1.0   \n",
       "1296  -5. Inapplicable question     3.0     3.0     3.0   \n",
       "\n",
       "                        V165802                            V165803 V165804  \\\n",
       "1383  -5. Inapplicable question  3. 3 eligible U.S. citizen adults     1.0   \n",
       "1809  -5. Inapplicable question   1. 1 eligible U.S. citizen adult     1.0   \n",
       "1296  -5. Inapplicable question  3. 3 eligible U.S. citizen adults     1.0   \n",
       "\n",
       "                        V165805                    V165806  \\\n",
       "1383  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question  -5. Inapplicable question   \n",
       "\n",
       "                                                V165807  \\\n",
       "1383  -5. Screener R selected or no eligible person ...   \n",
       "1809  -5. Screener R selected or no eligible person ...   \n",
       "1296  -5. Screener R selected or no eligible person ...   \n",
       "\n",
       "                        V165808  \\\n",
       "1383  -5. Inapplicable question   \n",
       "1809  -5. Inapplicable question   \n",
       "1296  -5. Inapplicable question   \n",
       "\n",
       "                                                V165809  \\\n",
       "1383  3. Screener R selected: More than 1 U.S. citiz...   \n",
       "1809  1. Screener R selected: Screener R is only adu...   \n",
       "1296  3. Screener R selected: More than 1 U.S. citiz...   \n",
       "\n",
       "                             V165810                                V166001  \\\n",
       "1383  1. Screener R selected for Pre  2. Reverse order (selected questions)   \n",
       "1809  1. Screener R selected for Pre  2. Reverse order (selected questions)   \n",
       "1296  1. Screener R selected for Pre  2. Reverse order (selected questions)   \n",
       "\n",
       "                                                V166002  \\\n",
       "1383  1. Democratic cand names first (yellow ballot ...   \n",
       "1809  1. Democratic cand names first (yellow ballot ...   \n",
       "1296  2. Republican cand names first (green ballot c...   \n",
       "\n",
       "                             V166003          V166004          V166005  \\\n",
       "1383  -6. No post-election interview    2. Mike Pence  4. Barack Obama   \n",
       "1809                          1. $50  5. Bill Clinton    2. Mike Pence   \n",
       "1296                       4. $2,000  3. Gary Johnson    6. Jill Stein   \n",
       "\n",
       "              V166006          V166007          V166008        V166009  \\\n",
       "1383  3. Gary Johnson  5. Bill Clinton    6. Jill Stein   1. Tim Kaine   \n",
       "1809  4. Barack Obama     1. Tim Kaine  3. Gary Johnson  6. Jill Stein   \n",
       "1296  5. Bill Clinton  4. Barack Obama    2. Mike Pence   1. Tim Kaine   \n",
       "\n",
       "                V166010             V166011             V166012  \\\n",
       "1383  8. Afraid (Trump)  7. Hopeful (Trump)    9. Proud (Trump)   \n",
       "1809   6. Angry (Trump)   8. Afraid (Trump)  7. Hopeful (Trump)   \n",
       "1296   6. Angry (Trump)   8. Afraid (Trump)    9. Proud (Trump)   \n",
       "\n",
       "                    V166013                V166014              V166015  \\\n",
       "1383  10. Disgusted (Trump)       6. Angry (Trump)  3. Afraid (Clinton)   \n",
       "1809       9. Proud (Trump)  10. Disgusted (Trump)   1. Angry (Clinton)   \n",
       "1296  10. Disgusted (Trump)     7. Hopeful (Trump)   1. Angry (Clinton)   \n",
       "\n",
       "                   V166016               V166017                 V166018  \\\n",
       "1383  2. Hopeful (Clinton)    4. Proud (Clinton)  5. Disgusted (Clinton)   \n",
       "1809   3. Afraid (Clinton)  2. Hopeful (Clinton)      4. Proud (Clinton)   \n",
       "1296   3. Afraid (Clinton)    4. Proud (Clinton)  5. Disgusted (Clinton)   \n",
       "\n",
       "                     V166019                   V166020  \\\n",
       "1383      1. Angry (Clinton)  8. Knowledgeable (Trump)   \n",
       "1809  5. Disgusted (Clinton)   10. Speaks mind (Trump)   \n",
       "1296    2. Hopeful (Clinton)  8. Knowledgeable (Trump)   \n",
       "\n",
       "                           V166021                       V166022  \\\n",
       "1383  6. Strong leadership (Trump)       7. Really cares (Trump)   \n",
       "1809      8. Knowledgeable (Trump)  6. Strong leadership (Trump)   \n",
       "1296             9. Honest (Trump)  6. Strong leadership (Trump)   \n",
       "\n",
       "                      V166023                  V166024  \\\n",
       "1383        9. Honest (Trump)  10. Speaks mind (Trump)   \n",
       "1809        9. Honest (Trump)  7. Really cares (Trump)   \n",
       "1296  10. Speaks mind (Trump)  7. Really cares (Trump)   \n",
       "\n",
       "                         V166025                         V166026  \\\n",
       "1383  3. Knowledgeable (Clinton)  1. Strong leadership (Clinton)   \n",
       "1809    5. Speaks mind (Clinton)      3. Knowledgeable (Clinton)   \n",
       "1296  3. Knowledgeable (Clinton)             4. Honest (Clinton)   \n",
       "\n",
       "                             V166027                   V166028  \\\n",
       "1383       2. Really cares (Clinton)       4. Honest (Clinton)   \n",
       "1809  1. Strong leadership (Clinton)       4. Honest (Clinton)   \n",
       "1296  1. Strong leadership (Clinton)  5. Speaks mind (Clinton)   \n",
       "\n",
       "                        V166029                V166030  \\\n",
       "1383   5. Speaks mind (Clinton)     1. Social Security   \n",
       "1809  2. Really cares (Clinton)  4. Dealing with crime   \n",
       "1296  2. Really cares (Clinton)     1. Social Security   \n",
       "\n",
       "                            V166031                    V166032  \\\n",
       "1383          4. Dealing with crime          2. Public schools   \n",
       "1809             1. Social Security         7. Aid to the poor   \n",
       "1296  8. Protecting the environment  3. Science and technology   \n",
       "\n",
       "                 V166033             V166034                    V166035  \\\n",
       "1383  7. Aid to the poor       6. Child care        5. Welfare programs   \n",
       "1809       6. Child care   2. Public schools  3. Science and technology   \n",
       "1296   2. Public schools  7. Aid to the poor        5. Welfare programs   \n",
       "\n",
       "                            V166036                        V166037  \\\n",
       "1383      3. Science and technology  8. Protecting the environment   \n",
       "1809  8. Protecting the environment            5. Welfare programs   \n",
       "1296          4. Dealing with crime                  6. Child care   \n",
       "\n",
       "            V166038                         V166039      V166040      V166041  \\\n",
       "1383  2. Version 1B  2. Selected for 2 question set  2. Rep /Dem  2. Rep /Dem   \n",
       "1809  2. Version 1B  2. Selected for 2 question set  2. Rep /Dem  1. Dem /Rep   \n",
       "1296  1. Version 1A  1. Selected for 4 question set  2. Rep /Dem  2. Rep /Dem   \n",
       "\n",
       "                V166042                  V166043            V166044  \\\n",
       "1383  1. Clinton /Trump  1. Dem Party /Rep Party  2. Trump /Clinton   \n",
       "1809  2. Trump /Clinton  2. Rep Party /Dem Party  1. Clinton /Trump   \n",
       "1296  2. Trump /Clinton  2. Rep Party /Dem Party  1. Clinton /Trump   \n",
       "\n",
       "                      V166045                  V166046            V166047  \\\n",
       "1383  1. Dem Party /Rep Party  2. Rep Party /Dem Party  1. Clinton /Trump   \n",
       "1809  1. Dem Party /Rep Party  1. Dem Party /Rep Party  2. Trump /Clinton   \n",
       "1296  1. Dem Party /Rep Party  1. Dem Party /Rep Party  2. Trump /Clinton   \n",
       "\n",
       "                V166048            V166049            V166050  \\\n",
       "1383  1. Clinton /Trump  1. Clinton /Trump  1. Clinton /Trump   \n",
       "1809  2. Trump /Clinton  1. Clinton /Trump  1. Clinton /Trump   \n",
       "1296  2. Trump /Clinton  1. Clinton /Trump  1. Clinton /Trump   \n",
       "\n",
       "                V166051            V166052         V166053  \\\n",
       "1383  1. Clinton /Trump  1. Clinton /Trump     -2. Missing   \n",
       "1809  1. Clinton /Trump  2. Trump /Clinton     2. Medicare   \n",
       "1296  2. Trump /Clinton  1. Clinton /Trump  1. Foreign aid   \n",
       "\n",
       "                  V166054              V166055             V166056  \\\n",
       "1383          -2. Missing          -2. Missing         -2. Missing   \n",
       "1809       1. Foreign aid  3. National defense  4. Social Security   \n",
       "1296  3. National defense          2. Medicare  4. Social Security   \n",
       "\n",
       "                         V166057                    V166058  \\\n",
       "1383  2. All In with Chris Hayes           15. The Simpsons   \n",
       "1809           10. Modern Family            34. Blue Bloods   \n",
       "1296              24. Judge Judy  13. Sunday Night Football   \n",
       "\n",
       "                  V166059                                 V166060  \\\n",
       "1383    38. Hawaii Five-O  45. The Late Show with Stephen Colbert   \n",
       "1809  21. Face the Nation                          17. 60 Minutes   \n",
       "1296        29. Daredevil                     21. Face the Nation   \n",
       "\n",
       "                         V166061                             V166062  \\\n",
       "1383        8. Jimmy Kimmel Live                19. CBS This Morning   \n",
       "1809  20. Dancing with the Stars    23. Hardball with Chris Matthews   \n",
       "1296                   35. Conan  33. ABC World News with David Muir   \n",
       "\n",
       "                                    V166063  \\\n",
       "1383                        40. Nancy Grace   \n",
       "1809                              16. Today   \n",
       "1296  27. NBC Nightly News with Lester Holt   \n",
       "\n",
       "                                      V166064                  V166065  \\\n",
       "1383       33. ABC World News with David Muir                16. Today   \n",
       "1809  12. The Nightly Show with Larry Wilmore  46. The O'Reilly Factor   \n",
       "1296               2. All In with Chris Hayes           31. Shark Tank   \n",
       "\n",
       "                                     V166066  \\\n",
       "1383                               35. Conan   \n",
       "1809  45. The Late Show with Stephen Colbert   \n",
       "1296                     26. Game of Thrones   \n",
       "\n",
       "                                         V166067  \\\n",
       "1383  47. The Tonight Show Starring Jimmy Fallon   \n",
       "1809                           9. The Kelly File   \n",
       "1296                        8. Jimmy Kimmel Live   \n",
       "\n",
       "                               V166068                     V166069  \\\n",
       "1383         13. Sunday Night Football   41. Erin Burnett OutFront   \n",
       "1809           44. The Big Bang Theory  2. All In with Chris Hayes   \n",
       "1296  23. Hardball with Chris Matthews     46. The O'Reilly Factor   \n",
       "\n",
       "                                        V166070             V166071  \\\n",
       "1383                             17. 60 Minutes           6. Empire   \n",
       "1809  28. On the Record with Greta Van Susteren       29. Daredevil   \n",
       "1296                           3. The Blacklist  22. House of Cards   \n",
       "\n",
       "                                        V166072             V166073  \\\n",
       "1383  28. On the Record with Greta Van Susteren  22. House of Cards   \n",
       "1809         33. ABC World News with David Muir  22. House of Cards   \n",
       "1296  28. On the Record with Greta Van Susteren           16. Today   \n",
       "\n",
       "              V166074                     V166075                     V166076  \\\n",
       "1383        1. 20 /20  30. The Rachel Maddow Show           5. Criminal Minds   \n",
       "1809      43. Scandal              31. Shark Tank        19. CBS This Morning   \n",
       "1296  40. Nancy Grace  30. The Rachel Maddow Show  20. Dancing with the Stars   \n",
       "\n",
       "                                    V166077              V166078  \\\n",
       "1383                44. The Big Bang Theory    9. The Kelly File   \n",
       "1809  27. NBC Nightly News with Lester Holt  26. Game of Thrones   \n",
       "1296                              1. 20 /20     36. Dateline NBC   \n",
       "\n",
       "                 V166079                                 V166080  \\\n",
       "1383  25. Meet the Press                            14. Scorpion   \n",
       "1809      24. Judge Judy                               35. Conan   \n",
       "1296    15. The Simpsons  45. The Late Show with Stephen Colbert   \n",
       "\n",
       "                                      V166081                   V166082  \\\n",
       "1383                      39. Madam Secretary  37. Good Morning America   \n",
       "1809                        38. Hawaii Five-O         5. Criminal Minds   \n",
       "1296  12. The Nightly Show with Larry Wilmore         5. Criminal Minds   \n",
       "\n",
       "                                         V166083            V166084  \\\n",
       "1383                                 43. Scandal      29. Daredevil   \n",
       "1809       4. CBS Evening News with Scott Pelley   3. The Blacklist   \n",
       "1296  47. The Tonight Show Starring Jimmy Fallon  42. PBS News Hour   \n",
       "\n",
       "                       V166085                     V166086  \\\n",
       "1383             32. The Voice         26. Game of Thrones   \n",
       "1809          15. The Simpsons  30. The Rachel Maddow Show   \n",
       "1296  37. Good Morning America        19. CBS This Morning   \n",
       "\n",
       "                                    V166087  \\\n",
       "1383  4. CBS Evening News with Scott Pelley   \n",
       "1809                        48. Alpha House   \n",
       "1296                44. The Big Bang Theory   \n",
       "\n",
       "                                    V166088                  V166089  \\\n",
       "1383  27. NBC Nightly News with Lester Holt  46. The O'Reilly Factor   \n",
       "1809              13. Sunday Night Football             14. Scorpion   \n",
       "1296                          32. The Voice       25. Meet the Press   \n",
       "\n",
       "                                    V166090  \\\n",
       "1383                       3. The Blacklist   \n",
       "1809                18. Anderson Cooper 360   \n",
       "1296  4. CBS Evening News with Scott Pelley   \n",
       "\n",
       "                                         V166091  \\\n",
       "1383                         21. Face the Nation   \n",
       "1809  47. The Tonight Show Starring Jimmy Fallon   \n",
       "1296                                   6. Empire   \n",
       "\n",
       "                                      V166092                    V166093  \\\n",
       "1383  12. The Nightly Show with Larry Wilmore          10. Modern Family   \n",
       "1809                       25. Meet the Press        39. Madam Secretary   \n",
       "1296                      39. Madam Secretary  41. Erin Burnett OutFront   \n",
       "\n",
       "                   V166094          V166095            V166096  \\\n",
       "1383            7. Hannity   24. Judge Judy           11. NCIS   \n",
       "1809  8. Jimmy Kimmel Live    32. The Voice          1. 20 /20   \n",
       "1296       48. Alpha House  34. Blue Bloods  38. Hawaii Five-O   \n",
       "\n",
       "                      V166097                           V166098  \\\n",
       "1383  18. Anderson Cooper 360  23. Hardball with Chris Matthews   \n",
       "1809               7. Hannity                  36. Dateline NBC   \n",
       "1296                 11. NCIS                        7. Hannity   \n",
       "\n",
       "                V166099                   V166100            V166101  \\\n",
       "1383  42. PBS News Hour           34. Blue Bloods   36. Dateline NBC   \n",
       "1809          6. Empire  37. Good Morning America           11. NCIS   \n",
       "1296        43. Scandal              14. Scorpion  10. Modern Family   \n",
       "\n",
       "                V166102                     V166103                  V166104  \\\n",
       "1383    48. Alpha House  20. Dancing with the Stars           31. Shark Tank   \n",
       "1809    40. Nancy Grace   41. Erin Burnett OutFront        42. PBS News Hour   \n",
       "1296  9. The Kelly File              17. 60 Minutes  18. Anderson Cooper 360   \n",
       "\n",
       "       V166105   V166106   V166107   V166108   V166109   V166110   V166111  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V166112   V166113   V166114   V166115   V166116   V166117   V166118  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V166119   V166120                        V166121  \\\n",
       "1383  -1. Inap  -1. Inap                       -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  11. The Thom Hartmann Program   \n",
       "1296  -1. Inap  -1. Inap       14. The Bill Handel Show   \n",
       "\n",
       "                                V166122                        V166123  \\\n",
       "1383                           -1. Inap                       -1. Inap   \n",
       "1809  12. Joe Madison (The Black Eagle)       14. The Bill Handel Show   \n",
       "1296           2. Morning Edition (NPR)  11. The Thom Hartmann Program   \n",
       "\n",
       "                                  V166124  \\\n",
       "1383                             -1. Inap   \n",
       "1809                   9. Fresh Air (NPR)   \n",
       "1296  15. The Schnitt Show (Todd Schnitt)   \n",
       "\n",
       "                                    V166125                         V166126  \\\n",
       "1383                               -1. Inap                        -1. Inap   \n",
       "1809  8. The Savage Nation (Michael Savage)  4. All Things Considered (NPR)   \n",
       "1296               3. The Sean Hannity Show          7. The Mark Levin Show   \n",
       "\n",
       "                                    V166127               V166128  \\\n",
       "1383                               -1. Inap              -1. Inap   \n",
       "1809               3. The Sean Hannity Show      1. Rush Limbaugh   \n",
       "1296  8. The Savage Nation (Michael Savage)  5. Marketplace (NPR)   \n",
       "\n",
       "                        V166129                            V166130  \\\n",
       "1383                   -1. Inap                           -1. Inap   \n",
       "1809   10. The Hugh Hewitt Show          6. The Glenn Beck Program   \n",
       "1296  6. The Glenn Beck Program  12. Joe Madison (The Black Eagle)   \n",
       "\n",
       "                                  V166131               V166132  \\\n",
       "1383                             -1. Inap              -1. Inap   \n",
       "1809  15. The Schnitt Show (Todd Schnitt)  5. Marketplace (NPR)   \n",
       "1296             10. The Hugh Hewitt Show    9. Fresh Air (NPR)   \n",
       "\n",
       "                       V166133                      V166134  \\\n",
       "1383                  -1. Inap                     -1. Inap   \n",
       "1809  2. Morning Edition (NPR)  13. The Mike Gallagher Show   \n",
       "1296          1. Rush Limbaugh  13. The Mike Gallagher Show   \n",
       "\n",
       "                             V166135                    V166136  \\\n",
       "1383                        -1. Inap  5. CBS News (cbsnews.com)   \n",
       "1809          7. The Mark Levin Show  9. Fox News (foxnews.com)   \n",
       "1296  4. All Things Considered (NPR)            7. Buzzfeed.com   \n",
       "\n",
       "                                      V166137  \\\n",
       "1383                          7. Buzzfeed.com   \n",
       "1809          1. Yahoo News (yahoo.com /news)   \n",
       "1296  4. Huffington Post (huffingtonpost.com)   \n",
       "\n",
       "                                             V166138  \\\n",
       "1383         4. Huffington Post (huffingtonpost.com)   \n",
       "1809  10. Mail Online  /Daily Mail (dailymail.co.uk)   \n",
       "1296                     6. USA Today (usatoday.com)   \n",
       "\n",
       "                                      V166139  \\\n",
       "1383               15. ABC News (abcnews.com)   \n",
       "1809  4. Huffington Post (huffingtonpost.com)   \n",
       "1296          1. Yahoo News (yahoo.com /news)   \n",
       "\n",
       "                                      V166140                     V166141  \\\n",
       "1383          1. Yahoo News (yahoo.com /news)                  2. CNN.com   \n",
       "1809  8. Mention New York Times (nytimes.com)  15. ABC News (abcnews.com)   \n",
       "1296       14. The Guardian (theguardian.com)   9. Fox News (foxnews.com)   \n",
       "\n",
       "                                 V166142                        V166143  \\\n",
       "1383  14. The Guardian (theguardian.com)  13. BBC News (news.bbc.co.uk)   \n",
       "1809       13. BBC News (news.bbc.co.uk)      5. CBS News (cbsnews.com)   \n",
       "1296           3. NBC News (nbcnews.com)  13. BBC News (news.bbc.co.uk)   \n",
       "\n",
       "                          V166144                                  V166145  \\\n",
       "1383  6. USA Today (usatoday.com)                9. Fox News (foxnews.com)   \n",
       "1809  6. USA Today (usatoday.com)       14. The Guardian (theguardian.com)   \n",
       "1296   15. ABC News (abcnews.com)  8. Mention New York Times (nytimes.com)   \n",
       "\n",
       "                                         V166146  \\\n",
       "1383  12. Business Insider (businessinsider.com)   \n",
       "1809    11. Washington Post (washingtonpost.com)   \n",
       "1296                   5. CBS News (cbsnews.com)   \n",
       "\n",
       "                                         V166147  \\\n",
       "1383    11. Washington Post (washingtonpost.com)   \n",
       "1809                   3. NBC News (nbcnews.com)   \n",
       "1296  12. Business Insider (businessinsider.com)   \n",
       "\n",
       "                                             V166148  \\\n",
       "1383  10. Mail Online  /Daily Mail (dailymail.co.uk)   \n",
       "1809                                      2. CNN.com   \n",
       "1296                                      2. CNN.com   \n",
       "\n",
       "                                         V166149  \\\n",
       "1383                   3. NBC News (nbcnews.com)   \n",
       "1809  12. Business Insider (businessinsider.com)   \n",
       "1296    11. Washington Post (washingtonpost.com)   \n",
       "\n",
       "                                             V166150             V166151  \\\n",
       "1383         8. Mention New York Times (nytimes.com)  15. Restricted #11   \n",
       "1809                                 7. Buzzfeed.com            -1. Inap   \n",
       "1296  10. Mail Online  /Daily Mail (dailymail.co.uk)  14. Restricted #10   \n",
       "\n",
       "                    V166152                 V166153                  V166154  \\\n",
       "1383       7. Restricted #3        6. Restricted #2       14. Restricted #10   \n",
       "1809               -1. Inap                -1. Inap                 -1. Inap   \n",
       "1296  1. The New York Times  4. The Washington Post  3. The Wall Street News   \n",
       "\n",
       "               V166155           V166156                V166157  \\\n",
       "1383  9. Restricted #5      2. USA Today  1. The New York Times   \n",
       "1809          -1. Inap          -1. Inap               -1. Inap   \n",
       "1296      2. USA Today  6. Restricted #2     16. Restricted #12   \n",
       "\n",
       "                 V166158            V166159                  V166160  \\\n",
       "1383    5. Restricted #1  12. Restricted #8  3. The Wall Street News   \n",
       "1809            -1. Inap           -1. Inap                 -1. Inap   \n",
       "1296  15. Restricted #11   7. Restricted #3         9. Restricted #5   \n",
       "\n",
       "                V166161            V166162            V166163  \\\n",
       "1383  10. Restricted #6  11. Restricted #7  13. Restricted #9   \n",
       "1809           -1. Inap           -1. Inap           -1. Inap   \n",
       "1296  13. Restricted #9  12. Restricted #8  10. Restricted #6   \n",
       "\n",
       "               V166164             V166165             V166166  \\\n",
       "1383  8. Restricted #4  16. Restricted #12  15. Restricted #11   \n",
       "1809          -1. Inap            -1. Inap            -1. Inap   \n",
       "1296  5. Restricted #1    8. Restricted #4  14. Restricted #10   \n",
       "\n",
       "                             V166167                         V166168  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809               1. Clinton /Trump                   12. Tim Kaine   \n",
       "1296               2. Trump /Clinton         11. Non-running Senator   \n",
       "\n",
       "                             V166169                         V166170  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809   4. Republican House Candidate                15. Pope Francis   \n",
       "1296                   2. Jill Stein                14. John Roberts   \n",
       "\n",
       "                             V166171                             V166172  \\\n",
       "1383  -6. No post-election interview      -6. No post-election interview   \n",
       "1809                  13. Mike Pence  8. Ind /3rd Party Senate Candidate   \n",
       "1296   4. Republican House Candidate                    15. Pope Francis   \n",
       "\n",
       "                                 V166173                         V166174  \\\n",
       "1383      -6. No post-election interview  -6. No post-election interview   \n",
       "1809         9. Senior Senator (no race)  6. Democratic Senate Candidate   \n",
       "1296  8. Ind /3rd Party Senate Candidate    10. Junior Senator (no race)   \n",
       "\n",
       "                             V166175                            V166176  \\\n",
       "1383  -6. No post-election interview     -6. No post-election interview   \n",
       "1809                   2. Jill Stein  5. Ind /3rd Party House Candidate   \n",
       "1296                   12. Tim Kaine      3. Democratic House Candidate   \n",
       "\n",
       "                             V166177                         V166178  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                14. John Roberts                 1. Gary Johnson   \n",
       "1296     9. Senior Senator (no race)  7. Republican Senate Candidate   \n",
       "\n",
       "                             V166179                         V166180  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809   3. Democratic House Candidate         11. Non-running Senator   \n",
       "1296                 1. Gary Johnson  6. Democratic Senate Candidate   \n",
       "\n",
       "                             V166181                            V166182  \\\n",
       "1383  -6. No post-election interview     -6. No post-election interview   \n",
       "1809  7. Republican Senate Candidate       10. Junior Senator (no race)   \n",
       "1296                  13. Mike Pence  5. Ind /3rd Party House Candidate   \n",
       "\n",
       "                             V166183                         V166184  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                  13. Christians                 6. Big business   \n",
       "1296                 6. Big business                        14. Jews   \n",
       "\n",
       "                             V166185                         V166186  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                   15. Tea Party         9. Gay men and lesbians   \n",
       "1296                  13. Christians                    2. Feminists   \n",
       "\n",
       "                             V166187                         V166188  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809          17. Transgender people                      16. Police   \n",
       "1296                  5. Poor people    1. Christian fundamentalists   \n",
       "\n",
       "                             V166189                         V166190  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809           8. U.S. Supreme Court                        14. Jews   \n",
       "1296                   15. Tea Party           8. U.S. Supreme Court   \n",
       "\n",
       "                             V166191                         V166192  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                 4. Labor unions                7. Conservatives   \n",
       "1296          19. Black Lives Matter                     12. Muslims   \n",
       "\n",
       "                             V166193                         V166194  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                  5. Poor people                 11. Rich people   \n",
       "1296                    10. Congress         9. Gay men and lesbians   \n",
       "\n",
       "                             V166195                         V166196  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                    2. Feminists          19. Black Lives Matter   \n",
       "1296                 11. Rich people          17. Transgender people   \n",
       "\n",
       "                             V166197                         V166198  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                    10. Congress                     3. Liberals   \n",
       "1296                  18. Scientists                 4. Labor unions   \n",
       "\n",
       "                             V166199                         V166200  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809    1. Christian fundamentalists                     12. Muslims   \n",
       "1296                      16. Police                7. Conservatives   \n",
       "\n",
       "                             V166201                         V166202  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                  18. Scientists                     1. Dem /Rep   \n",
       "1296                     3. Liberals                     1. Dem /Rep   \n",
       "\n",
       "                             V166203                         V166204  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                2. RCOST /AMCOST            0. Revised /Standard   \n",
       "1296                1. AMCOST /RCOST            0. Revised /Standard   \n",
       "\n",
       "                             V166205                         V166206  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                     2. PAL /ISR               2. Trump /Clinton   \n",
       "1296                     1. ISR /PAL               2. Trump /Clinton   \n",
       "\n",
       "                             V166207                         V166208  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809               2. Trump /Clinton           4. Illegal immigrants   \n",
       "1296               1. Clinton /Trump                       1. Asians   \n",
       "\n",
       "                             V166209                         V166210  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                       1. Asians                       5. Whites   \n",
       "1296                       3. Blacks           4. Illegal immigrants   \n",
       "\n",
       "                             V166211                         V166212  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                       3. Blacks                    2. Hispanics   \n",
       "1296                    2. Hispanics                       5. Whites   \n",
       "\n",
       "                             V166213                         V166214  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                       1. Blacks                    2. Hispanics   \n",
       "1296                       3. Asians                    2. Hispanics   \n",
       "\n",
       "                             V166215                         V166216  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                       3. Asians           2. Hispanic-Americans   \n",
       "1296                       1. Blacks              3. Asian-Americans   \n",
       "\n",
       "                             V166217                         V166218  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809              3. Asian-Americans                      4. Muslims   \n",
       "1296           2. Hispanic-Americans                   5. Christians   \n",
       "\n",
       "                             V166219                         V166220  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                   5. Christians                       1. Blacks   \n",
       "1296                       1. Blacks                      4. Muslims   \n",
       "\n",
       "                             V166221                         V166222  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809          2. Christians /Muslims                          7. Men   \n",
       "1296          2. Christians /Muslims                      8. Muslims   \n",
       "\n",
       "                             V166223                         V166224  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809          10. Transgender people                       4. Whites   \n",
       "1296                        6. Women          10. Transgender people   \n",
       "\n",
       "                             V166225                         V166226  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        6. Women                      8. Muslims   \n",
       "1296                       4. Whites              3. Asian-Americans   \n",
       "\n",
       "                             V166227                         V166228  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809             5. Gay and lesbians                   9. Christians   \n",
       "1296                       1. Blacks                    2. Hispanics   \n",
       "\n",
       "                             V166229                         V166230  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                    2. Hispanics              3. Asian-Americans   \n",
       "1296             5. Gay and lesbians                   9. Christians   \n",
       "\n",
       "                             V166231   V167500   V167501         V167502  \\\n",
       "1383  -6. No post-election interview  -1. Inap  -1. Inap  -3. Restricted   \n",
       "1809                       1. Blacks  -1. Inap  -1. Inap  -3. Restricted   \n",
       "1296                          7. Men  -1. Inap  -1. Inap  -3. Restricted   \n",
       "\n",
       "       V167503         V167504   V167505   V167506   V167507   V167508  \\\n",
       "1383  -1. Inap  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167509   V167510   V167511   V167512   V167513   V167514   V167515  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167516   V167517   V167518   V167519   V167520   V167521   V167522  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167523   V167524   V167525   V167526   V167527   V167528   V167529  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167530         V167531   V167532   V167533   V167534   V167535  \\\n",
       "1383  -1. Inap  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "             V167536   V167537   V167538   V167539   V167540   V167541  \\\n",
       "1383  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -3. Restricted  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167542   V167543   V167544   V167545   V167546   V167547   V167548  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167549   V167550   V167551   V167552   V167553   V167554   V167555  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V167556   V167557   V167558   V168000   V168001   V168002   V168003  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168004   V168005   V168006   V168007  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "                                                V168008  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168009  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168010  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168011  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168012  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168013  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168014   V168015   V168016  \\\n",
       "1383  -2. Data will be available in forthcoming release  -1. Inap  -1. Inap   \n",
       "1809  -2. Data will be available in forthcoming release  -1. Inap  -1. Inap   \n",
       "1296  -2. Data will be available in forthcoming release  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168017   V168018   V168019   V168020   V168021   V168022   V168023  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168024   V168025   V168026   V168027   V168028   V168029   V168030  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168031   V168032   V168033   V168034   V168035   V168036   V168037  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168038   V168039   V168040                         V168100  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -6. No post-election interview   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap                        -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168101  \\\n",
       "1383  -6. No post-election interview   \n",
       "1809                        -1. Inap   \n",
       "1296                        -1. Inap   \n",
       "\n",
       "                                                V168102  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168103  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168104  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168105  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168106  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168107  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168108  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168109  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                                                V168110  \\\n",
       "1383  -2. Data will be available in forthcoming release   \n",
       "1809  -2. Data will be available in forthcoming release   \n",
       "1296  -2. Data will be available in forthcoming release   \n",
       "\n",
       "                             V168111                         V168112  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168113                         V168114  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168115                         V168116  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168117                         V168118  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168119                         V168120  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168121                         V168122  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168123                         V168124  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168125                         V168126  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168127                         V168128  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168129                         V168130  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "                             V168131                         V168132  \\\n",
       "1383  -6. No post-election interview  -6. No post-election interview   \n",
       "1809                        -1. Inap                        -1. Inap   \n",
       "1296                        -1. Inap                        -1. Inap   \n",
       "\n",
       "       V168250                  V168251   V168252   V168253   V168254  \\\n",
       "1383  -1. Inap  -1. INAP, web interview  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. INAP, web interview  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. INAP, web interview  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168255   V168256   V168257   V168258   V168259   V168260   V168261  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168262   V168263   V168264   V168265         V168266   V168300  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -3. Restricted  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -3. Restricted  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -3. Restricted  -1. Inap   \n",
       "\n",
       "                      V168301   V168302   V168303   V168304   V168305  \\\n",
       "1383  -1. INAP, web interview  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. INAP, web interview  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. INAP, web interview  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168306   V168307   V168308   V168309   V168310   V168311   V168312  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap  -1. Inap   \n",
       "\n",
       "       V168313   V168314   V168315         V168316  \\\n",
       "1383  -1. Inap  -1. Inap  -1. Inap  -3. Restricted   \n",
       "1809  -1. Inap  -1. Inap  -1. Inap  -3. Restricted   \n",
       "1296  -1. Inap  -1. Inap  -1. Inap  -3. Restricted   \n",
       "\n",
       "                                                V168500   V168501  \\\n",
       "1383  65. DEMOCRATIC AND REPUBLICAN CANDS -Repub inc...  -1. Inap   \n",
       "1809    21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER  -1. Inap   \n",
       "1296    21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER  -1. Inap   \n",
       "\n",
       "                                                V168502  \\\n",
       "1383  -1. Inap, 12-75 in sen_typerace; Washington D....   \n",
       "1809  -1. Inap, 12-75 in sen_typerace; Washington D....   \n",
       "1296  -1. Inap, 12-75 in sen_typerace; Washington D....   \n",
       "\n",
       "                                                V168503   V168504  \\\n",
       "1383  -1. Inap, 12-75 in sen_typerace; Washington D....  -1. Inap   \n",
       "1809  -1. Inap, 12-75 in sen_typerace; Washington D....  -1. Inap   \n",
       "1296  -1. Inap, 12-75 in sen_typerace; Washington D....  -1. Inap   \n",
       "\n",
       "                                                V168505  \\\n",
       "1383  -1. Inap, 12-75 in sen_typerace; Washington D....   \n",
       "1809  -1. Inap, 12-75 in sen_typerace; Washington D....   \n",
       "1296  -1. Inap, 12-75 in sen_typerace; Washington D....   \n",
       "\n",
       "                                                V168506   V168507  \\\n",
       "1383  -1. Inap, 12-75 in sen_typerace; Washington D....  -1. Inap   \n",
       "1809  -1. Inap, 12-75 in sen_typerace; Washington D....  -1. Inap   \n",
       "1296  -1. Inap, 12-75 in sen_typerace; Washington D....  -1. Inap   \n",
       "\n",
       "                             V168508  V168509                  V168510  \\\n",
       "1383                       Evan Bayh  1. Male   Todd Christopher Young   \n",
       "1809             Patrick Erin Murphy  1. Male              Marco Rubio   \n",
       "1296  Stephen Jerry 'Jerry' Sturgill  1. Male  Michael D. 'Mike' Crapo   \n",
       "\n",
       "      V168511                      V168512  V168513        V168514   V168515  \\\n",
       "1383  1. Male  Joseph Simon 'Joe' Donnelly  1. Male    1. Democrat  -1. Inap   \n",
       "1809  1. Male                  Bill Nelson  1. Male    1. Democrat  -1. Inap   \n",
       "1296  1. Male         James E. 'Jim' Risch  1. Male  2. Republican  -1. Inap   \n",
       "\n",
       "                                                V168516              V168517  \\\n",
       "1383  55. No incumbent Repr. running--Democratic and...            John Dale   \n",
       "1809  12. Democratic incumbent running--Republican c...    Alcee L. Hastings   \n",
       "1296  55. No incumbent Repr. running--Democratic and...  James M. Piotrowski   \n",
       "\n",
       "      V168518                        V168519  V168520   V168521  \\\n",
       "1383  1. Male  Theodore Edward 'Todd' Rokita  1. Male  -1. Inap   \n",
       "1809  1. Male                     Gary Stein  1. Male  -1. Inap   \n",
       "1296  1. Male           Raul Rafael Labrador  1. Male  -1. Inap   \n",
       "\n",
       "                                                V168522   V168523  \\\n",
       "1383  -1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace  -1. Inap   \n",
       "1809  -1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace  -1. Inap   \n",
       "1296  -1. Inap, -4,12,14,21,24,51,52,55 in hse_typerace  -1. Inap   \n",
       "\n",
       "                                              V168524        V168525  \\\n",
       "1383  21. REPUBLICAN INCUMBENT- DEMOCRATIC CHALLENGER  John R. Gregg   \n",
       "1809        82. NO RACE IN STATE: REPUBLICAN GOVERNOR       -1. Inap   \n",
       "1296        82. NO RACE IN STATE: REPUBLICAN GOVERNOR       -1. Inap   \n",
       "\n",
       "                                                V168526              V168527  \\\n",
       "1383                                            1. Male  Eric Joseph Holcomb   \n",
       "1809  -1. Inap, 23,24,52,62,81,82,83 in gov_typerace...             -1. Inap   \n",
       "1296  -1. Inap, 23,24,52,62,81,82,83 in gov_typerace...             -1. Inap   \n",
       "\n",
       "                                                V168528  \n",
       "1383                                            1. Male  \n",
       "1809  -1. Inap, 13,14,51,61,81,82,83 in gov_typerace...  \n",
       "1296  -1. Inap, 13,14,51,61,81,82,83 in gov_typerace...  \n",
       "\n",
       "[3 rows x 1842 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(3, replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    -2. Inapplicable, FTF sample\n",
       "2    -2. Inapplicable, FTF sample\n",
       "3    -2. Inapplicable, FTF sample\n",
       "4    -2. Inapplicable, FTF sample\n",
       "5    -2. Inapplicable, FTF sample\n",
       "Name: V165702, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[1:5, \"V165702\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    1. FTF /CASI\n",
       "2    1. FTF /CASI\n",
       "3    1. FTF /CASI\n",
       "4    1. FTF /CASI\n",
       "5    1. FTF /CASI\n",
       "Name: V160501, dtype: category\n",
       "Categories (2, object): ['1. FTF /CASI', '2. Web']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[1:5, \"V160501\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_web = df[df[\"V160501\"] == \"2. Web\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1180    20160916\n",
       "1181    20160929\n",
       "1182    20161031\n",
       "1183    20161029\n",
       "1184    20160914\n",
       "          ...   \n",
       "4265    20161028\n",
       "4266    20160919\n",
       "4267    20161018\n",
       "4268    20161021\n",
       "4269    20161019\n",
       "Name: V165702, Length: 3090, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_web.loc[:, \"V165702\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>version</th>\n",
       "      <th>V160001</th>\n",
       "      <th>V160001_orig</th>\n",
       "      <th>V160101</th>\n",
       "      <th>V160101f</th>\n",
       "      <th>V160101w</th>\n",
       "      <th>V160102</th>\n",
       "      <th>V160102f</th>\n",
       "      <th>V160102w</th>\n",
       "      <th>V160201</th>\n",
       "      <th>V160201f</th>\n",
       "      <th>V160201w</th>\n",
       "      <th>V160202</th>\n",
       "      <th>V160202f</th>\n",
       "      <th>V160202w</th>\n",
       "      <th>V160501</th>\n",
       "      <th>V160502</th>\n",
       "      <th>V161001</th>\n",
       "      <th>V161002</th>\n",
       "      <th>V161003</th>\n",
       "      <th>V161004</th>\n",
       "      <th>V161005</th>\n",
       "      <th>V161006</th>\n",
       "      <th>V161007</th>\n",
       "      <th>V161008</th>\n",
       "      <th>V161009</th>\n",
       "      <th>V161010a</th>\n",
       "      <th>V161010b</th>\n",
       "      <th>V161010c</th>\n",
       "      <th>V161010d</th>\n",
       "      <th>V161010e</th>\n",
       "      <th>V161010f</th>\n",
       "      <th>V161011</th>\n",
       "      <th>V161011a</th>\n",
       "      <th>V161012</th>\n",
       "      <th>V161013a</th>\n",
       "      <th>V161013b</th>\n",
       "      <th>V161014</th>\n",
       "      <th>V161015a</th>\n",
       "      <th>V161015b</th>\n",
       "      <th>V161015c</th>\n",
       "      <th>V161015d</th>\n",
       "      <th>V161015e</th>\n",
       "      <th>V161016</th>\n",
       "      <th>V161017</th>\n",
       "      <th>V161018</th>\n",
       "      <th>V161019</th>\n",
       "      <th>V161020</th>\n",
       "      <th>V161021</th>\n",
       "      <th>V161021a</th>\n",
       "      <th>V161022</th>\n",
       "      <th>V161022a</th>\n",
       "      <th>V161023</th>\n",
       "      <th>V161024x</th>\n",
       "      <th>V161025</th>\n",
       "      <th>V161025a</th>\n",
       "      <th>V161025x</th>\n",
       "      <th>V161026</th>\n",
       "      <th>V161027</th>\n",
       "      <th>V161028</th>\n",
       "      <th>V161029a</th>\n",
       "      <th>V161029b</th>\n",
       "      <th>V161030</th>\n",
       "      <th>V161031</th>\n",
       "      <th>V161032</th>\n",
       "      <th>V161033</th>\n",
       "      <th>V161034</th>\n",
       "      <th>V161035</th>\n",
       "      <th>V161036</th>\n",
       "      <th>V161037</th>\n",
       "      <th>V161038</th>\n",
       "      <th>V161039</th>\n",
       "      <th>V161040</th>\n",
       "      <th>V161041</th>\n",
       "      <th>V161042</th>\n",
       "      <th>V161043</th>\n",
       "      <th>V161044</th>\n",
       "      <th>V161045x</th>\n",
       "      <th>V161046</th>\n",
       "      <th>V161047</th>\n",
       "      <th>V161048</th>\n",
       "      <th>V161049</th>\n",
       "      <th>V161050</th>\n",
       "      <th>V161051</th>\n",
       "      <th>V161052</th>\n",
       "      <th>V161053</th>\n",
       "      <th>V161054</th>\n",
       "      <th>V161055</th>\n",
       "      <th>V161056</th>\n",
       "      <th>V161057</th>\n",
       "      <th>V161058</th>\n",
       "      <th>V161059</th>\n",
       "      <th>V161060</th>\n",
       "      <th>V161061</th>\n",
       "      <th>V161062</th>\n",
       "      <th>V161063</th>\n",
       "      <th>V161064x</th>\n",
       "      <th>V161065x</th>\n",
       "      <th>V161066x</th>\n",
       "      <th>V161067x</th>\n",
       "      <th>V161068</th>\n",
       "      <th>V161069</th>\n",
       "      <th>V161070a</th>\n",
       "      <th>V161071</th>\n",
       "      <th>V161072</th>\n",
       "      <th>V161073a</th>\n",
       "      <th>V161074</th>\n",
       "      <th>V161075</th>\n",
       "      <th>V161076a</th>\n",
       "      <th>V161077</th>\n",
       "      <th>V161078</th>\n",
       "      <th>V161079a</th>\n",
       "      <th>V161080</th>\n",
       "      <th>V161080a</th>\n",
       "      <th>V161080x</th>\n",
       "      <th>V161081</th>\n",
       "      <th>V161082</th>\n",
       "      <th>V161082a</th>\n",
       "      <th>V161082x</th>\n",
       "      <th>V161083</th>\n",
       "      <th>V161083a</th>\n",
       "      <th>V161083x</th>\n",
       "      <th>V161084</th>\n",
       "      <th>V161084a</th>\n",
       "      <th>V161084x</th>\n",
       "      <th>V161085</th>\n",
       "      <th>V161085a</th>\n",
       "      <th>V161085x</th>\n",
       "      <th>V161086</th>\n",
       "      <th>V161087</th>\n",
       "      <th>V161088</th>\n",
       "      <th>V161089</th>\n",
       "      <th>V161090</th>\n",
       "      <th>V161091</th>\n",
       "      <th>V161092</th>\n",
       "      <th>V161093</th>\n",
       "      <th>V161094</th>\n",
       "      <th>V161095</th>\n",
       "      <th>V161096</th>\n",
       "      <th>V161097</th>\n",
       "      <th>V161098</th>\n",
       "      <th>V161099a</th>\n",
       "      <th>V161100</th>\n",
       "      <th>V161101</th>\n",
       "      <th>V161102a</th>\n",
       "      <th>V161103</th>\n",
       "      <th>V161104</th>\n",
       "      <th>V161105a</th>\n",
       "      <th>V161106</th>\n",
       "      <th>V161107</th>\n",
       "      <th>V161108a</th>\n",
       "      <th>V161109</th>\n",
       "      <th>V161110</th>\n",
       "      <th>V161111</th>\n",
       "      <th>V161112</th>\n",
       "      <th>V161113</th>\n",
       "      <th>V161114a</th>\n",
       "      <th>V161114b</th>\n",
       "      <th>V161114x</th>\n",
       "      <th>V161115</th>\n",
       "      <th>V161116</th>\n",
       "      <th>V161117</th>\n",
       "      <th>V161118</th>\n",
       "      <th>V161119</th>\n",
       "      <th>V161120</th>\n",
       "      <th>V161121</th>\n",
       "      <th>V161122</th>\n",
       "      <th>V161123</th>\n",
       "      <th>V161124</th>\n",
       "      <th>V161125</th>\n",
       "      <th>V161126</th>\n",
       "      <th>V161127</th>\n",
       "      <th>V161128</th>\n",
       "      <th>V161129</th>\n",
       "      <th>V161130</th>\n",
       "      <th>V161131</th>\n",
       "      <th>V161132</th>\n",
       "      <th>V161133</th>\n",
       "      <th>V161134a</th>\n",
       "      <th>V161134b</th>\n",
       "      <th>V161135a</th>\n",
       "      <th>V161135b</th>\n",
       "      <th>V161136</th>\n",
       "      <th>V161137</th>\n",
       "      <th>V161138a</th>\n",
       "      <th>V161138b</th>\n",
       "      <th>V161138x</th>\n",
       "      <th>V161139</th>\n",
       "      <th>V161140</th>\n",
       "      <th>V161140a</th>\n",
       "      <th>V161140x</th>\n",
       "      <th>V161141</th>\n",
       "      <th>V161141a</th>\n",
       "      <th>V161141x</th>\n",
       "      <th>V161142</th>\n",
       "      <th>V161142a</th>\n",
       "      <th>V161142x</th>\n",
       "      <th>V161143</th>\n",
       "      <th>V161144</th>\n",
       "      <th>V161145</th>\n",
       "      <th>V161146</th>\n",
       "      <th>V161147</th>\n",
       "      <th>V161148</th>\n",
       "      <th>V161149</th>\n",
       "      <th>V161150a</th>\n",
       "      <th>V161150b</th>\n",
       "      <th>V161151a</th>\n",
       "      <th>V161151b</th>\n",
       "      <th>V161151x</th>\n",
       "      <th>V161152</th>\n",
       "      <th>V161153</th>\n",
       "      <th>V161154</th>\n",
       "      <th>V161155</th>\n",
       "      <th>V161155a</th>\n",
       "      <th>V161156</th>\n",
       "      <th>V161157</th>\n",
       "      <th>V161158x</th>\n",
       "      <th>V161159</th>\n",
       "      <th>V161160</th>\n",
       "      <th>V161161</th>\n",
       "      <th>V161162</th>\n",
       "      <th>V161163</th>\n",
       "      <th>V161164</th>\n",
       "      <th>V161165</th>\n",
       "      <th>V161166</th>\n",
       "      <th>V161167</th>\n",
       "      <th>V161168</th>\n",
       "      <th>V161169</th>\n",
       "      <th>V161170</th>\n",
       "      <th>V161171</th>\n",
       "      <th>V161172</th>\n",
       "      <th>V161173</th>\n",
       "      <th>V161174</th>\n",
       "      <th>V161175</th>\n",
       "      <th>V161176</th>\n",
       "      <th>V161177</th>\n",
       "      <th>V161178</th>\n",
       "      <th>V161179</th>\n",
       "      <th>V161180</th>\n",
       "      <th>V161181</th>\n",
       "      <th>V161182</th>\n",
       "      <th>V161183</th>\n",
       "      <th>V161184</th>\n",
       "      <th>V161185</th>\n",
       "      <th>V161186</th>\n",
       "      <th>V161187</th>\n",
       "      <th>V161188</th>\n",
       "      <th>V161189</th>\n",
       "      <th>V161190</th>\n",
       "      <th>V161191</th>\n",
       "      <th>V161192</th>\n",
       "      <th>V161193</th>\n",
       "      <th>V161193a</th>\n",
       "      <th>V161194x</th>\n",
       "      <th>V161195</th>\n",
       "      <th>V161195a</th>\n",
       "      <th>V161195x</th>\n",
       "      <th>V161196</th>\n",
       "      <th>V161196a</th>\n",
       "      <th>V161196x</th>\n",
       "      <th>V161197</th>\n",
       "      <th>V161198</th>\n",
       "      <th>V161199</th>\n",
       "      <th>V161200</th>\n",
       "      <th>V161201</th>\n",
       "      <th>V161202</th>\n",
       "      <th>V161203</th>\n",
       "      <th>V161204</th>\n",
       "      <th>V161204a</th>\n",
       "      <th>V161204b</th>\n",
       "      <th>V161204x</th>\n",
       "      <th>V161205</th>\n",
       "      <th>V161206</th>\n",
       "      <th>V161207</th>\n",
       "      <th>V161208</th>\n",
       "      <th>V161209</th>\n",
       "      <th>V161210</th>\n",
       "      <th>V161211</th>\n",
       "      <th>V161212</th>\n",
       "      <th>V161213</th>\n",
       "      <th>V161213a</th>\n",
       "      <th>V161213x</th>\n",
       "      <th>V161214</th>\n",
       "      <th>V161214a</th>\n",
       "      <th>V161214x</th>\n",
       "      <th>V161215</th>\n",
       "      <th>V161216</th>\n",
       "      <th>V161217</th>\n",
       "      <th>V161218</th>\n",
       "      <th>V161219</th>\n",
       "      <th>V161220</th>\n",
       "      <th>V161221</th>\n",
       "      <th>V161222</th>\n",
       "      <th>V161223</th>\n",
       "      <th>V161224</th>\n",
       "      <th>V161224a</th>\n",
       "      <th>V161225x</th>\n",
       "      <th>V161226</th>\n",
       "      <th>V161226a</th>\n",
       "      <th>V161226x</th>\n",
       "      <th>V161227</th>\n",
       "      <th>V161227a</th>\n",
       "      <th>V161227x</th>\n",
       "      <th>V161228</th>\n",
       "      <th>V161228a</th>\n",
       "      <th>V161228x</th>\n",
       "      <th>V161229</th>\n",
       "      <th>V161229a</th>\n",
       "      <th>V161229x</th>\n",
       "      <th>V161230</th>\n",
       "      <th>V161231</th>\n",
       "      <th>V161232</th>\n",
       "      <th>V161233</th>\n",
       "      <th>V161233a</th>\n",
       "      <th>V161233x</th>\n",
       "      <th>V161234</th>\n",
       "      <th>V161235</th>\n",
       "      <th>V161235a</th>\n",
       "      <th>V161235x</th>\n",
       "      <th>V161236</th>\n",
       "      <th>V161237</th>\n",
       "      <th>V161238</th>\n",
       "      <th>V161239a</th>\n",
       "      <th>V161239b</th>\n",
       "      <th>V161240a</th>\n",
       "      <th>V161240b</th>\n",
       "      <th>V161241</th>\n",
       "      <th>V161242</th>\n",
       "      <th>V161243</th>\n",
       "      <th>V161244</th>\n",
       "      <th>V161245</th>\n",
       "      <th>V161245a</th>\n",
       "      <th>V161246</th>\n",
       "      <th>V161247a</th>\n",
       "      <th>V161247b</th>\n",
       "      <th>V161248</th>\n",
       "      <th>V161249</th>\n",
       "      <th>V161250</th>\n",
       "      <th>V161251</th>\n",
       "      <th>V161252</th>\n",
       "      <th>V161253</th>\n",
       "      <th>V161254</th>\n",
       "      <th>V161255</th>\n",
       "      <th>V161256</th>\n",
       "      <th>V161257</th>\n",
       "      <th>V161258</th>\n",
       "      <th>V161259</th>\n",
       "      <th>V161260</th>\n",
       "      <th>V161261</th>\n",
       "      <th>V161262a</th>\n",
       "      <th>V161262b</th>\n",
       "      <th>V161263</th>\n",
       "      <th>V161264x</th>\n",
       "      <th>V161265x</th>\n",
       "      <th>V161266a</th>\n",
       "      <th>V161266b</th>\n",
       "      <th>V161266c</th>\n",
       "      <th>V161266d</th>\n",
       "      <th>V161266e</th>\n",
       "      <th>V161266f</th>\n",
       "      <th>V161266g</th>\n",
       "      <th>V161266h</th>\n",
       "      <th>V161266j</th>\n",
       "      <th>V161266k</th>\n",
       "      <th>V161266m</th>\n",
       "      <th>V161266n</th>\n",
       "      <th>V161266p</th>\n",
       "      <th>V161267</th>\n",
       "      <th>V161267a</th>\n",
       "      <th>V161267b</th>\n",
       "      <th>V161267c</th>\n",
       "      <th>V161267x</th>\n",
       "      <th>V161268</th>\n",
       "      <th>V161269</th>\n",
       "      <th>V161270</th>\n",
       "      <th>V161271</th>\n",
       "      <th>V161272</th>\n",
       "      <th>V161273</th>\n",
       "      <th>V161274a</th>\n",
       "      <th>V161274b</th>\n",
       "      <th>V161275x</th>\n",
       "      <th>V161276x</th>\n",
       "      <th>V161277</th>\n",
       "      <th>V161278</th>\n",
       "      <th>V161279</th>\n",
       "      <th>V161280a</th>\n",
       "      <th>V161280b</th>\n",
       "      <th>V161280c</th>\n",
       "      <th>V161281</th>\n",
       "      <th>V161282a</th>\n",
       "      <th>V161282b</th>\n",
       "      <th>V161283a</th>\n",
       "      <th>V161283b</th>\n",
       "      <th>V161284</th>\n",
       "      <th>V161285</th>\n",
       "      <th>V161286</th>\n",
       "      <th>V161287</th>\n",
       "      <th>V161288</th>\n",
       "      <th>V161289</th>\n",
       "      <th>V161290</th>\n",
       "      <th>V161291a</th>\n",
       "      <th>V161291b</th>\n",
       "      <th>V161292a</th>\n",
       "      <th>V161292b</th>\n",
       "      <th>V161293</th>\n",
       "      <th>V161294</th>\n",
       "      <th>V161295</th>\n",
       "      <th>V161296</th>\n",
       "      <th>V161297</th>\n",
       "      <th>V161298</th>\n",
       "      <th>V161299</th>\n",
       "      <th>V161300a</th>\n",
       "      <th>V161300b</th>\n",
       "      <th>V161300c</th>\n",
       "      <th>V161300d</th>\n",
       "      <th>V161300e</th>\n",
       "      <th>V161300f</th>\n",
       "      <th>V161300g</th>\n",
       "      <th>V161301a</th>\n",
       "      <th>V161301b</th>\n",
       "      <th>V161302</th>\n",
       "      <th>V161303</th>\n",
       "      <th>V161304</th>\n",
       "      <th>V161305a</th>\n",
       "      <th>V161305b</th>\n",
       "      <th>V161306</th>\n",
       "      <th>V161307</th>\n",
       "      <th>V161307a</th>\n",
       "      <th>V161308x</th>\n",
       "      <th>V161309</th>\n",
       "      <th>V161310a</th>\n",
       "      <th>V161310b</th>\n",
       "      <th>V161310c</th>\n",
       "      <th>V161310d</th>\n",
       "      <th>V161310e</th>\n",
       "      <th>V161310f</th>\n",
       "      <th>V161310g</th>\n",
       "      <th>V161310x</th>\n",
       "      <th>V161311</th>\n",
       "      <th>V161312a</th>\n",
       "      <th>V161313</th>\n",
       "      <th>V161314</th>\n",
       "      <th>V161314a</th>\n",
       "      <th>V161315</th>\n",
       "      <th>V161316</th>\n",
       "      <th>V161317</th>\n",
       "      <th>V161318</th>\n",
       "      <th>V161319</th>\n",
       "      <th>V161319x</th>\n",
       "      <th>V161320</th>\n",
       "      <th>V161321</th>\n",
       "      <th>V161321a</th>\n",
       "      <th>V161322</th>\n",
       "      <th>V161322a</th>\n",
       "      <th>V161323</th>\n",
       "      <th>V161324</th>\n",
       "      <th>V161325a</th>\n",
       "      <th>V161325b</th>\n",
       "      <th>V161325c</th>\n",
       "      <th>V161325d</th>\n",
       "      <th>V161325e</th>\n",
       "      <th>V161326</th>\n",
       "      <th>V161327</th>\n",
       "      <th>V161328</th>\n",
       "      <th>V161329</th>\n",
       "      <th>V161330</th>\n",
       "      <th>V161331a</th>\n",
       "      <th>V161331b</th>\n",
       "      <th>V161331x</th>\n",
       "      <th>V161332</th>\n",
       "      <th>V161333</th>\n",
       "      <th>V161334</th>\n",
       "      <th>V161335</th>\n",
       "      <th>V161335a</th>\n",
       "      <th>V161336</th>\n",
       "      <th>V161337</th>\n",
       "      <th>V161338</th>\n",
       "      <th>V161339</th>\n",
       "      <th>V161340</th>\n",
       "      <th>V161341</th>\n",
       "      <th>V161342</th>\n",
       "      <th>V161342a</th>\n",
       "      <th>V161343</th>\n",
       "      <th>V161344</th>\n",
       "      <th>V161345</th>\n",
       "      <th>V161346</th>\n",
       "      <th>V161347</th>\n",
       "      <th>V161348</th>\n",
       "      <th>V161349</th>\n",
       "      <th>V161350</th>\n",
       "      <th>V161351</th>\n",
       "      <th>V161352</th>\n",
       "      <th>V161353</th>\n",
       "      <th>V161354</th>\n",
       "      <th>V161355</th>\n",
       "      <th>V161356</th>\n",
       "      <th>V161357</th>\n",
       "      <th>V161358</th>\n",
       "      <th>V161359</th>\n",
       "      <th>V161360</th>\n",
       "      <th>...</th>\n",
       "      <th>V165738</th>\n",
       "      <th>V165739</th>\n",
       "      <th>V165740</th>\n",
       "      <th>V165741</th>\n",
       "      <th>V165742</th>\n",
       "      <th>V165743</th>\n",
       "      <th>V165744</th>\n",
       "      <th>V165745</th>\n",
       "      <th>V165746</th>\n",
       "      <th>V165747</th>\n",
       "      <th>V165748</th>\n",
       "      <th>V165749</th>\n",
       "      <th>V165750</th>\n",
       "      <th>V165751</th>\n",
       "      <th>V165752</th>\n",
       "      <th>V165753</th>\n",
       "      <th>V165754</th>\n",
       "      <th>V165755</th>\n",
       "      <th>V165756</th>\n",
       "      <th>V165757</th>\n",
       "      <th>V165758</th>\n",
       "      <th>V165759</th>\n",
       "      <th>V165760</th>\n",
       "      <th>V165761</th>\n",
       "      <th>V165762</th>\n",
       "      <th>V165763</th>\n",
       "      <th>V165764</th>\n",
       "      <th>V165765</th>\n",
       "      <th>V165766</th>\n",
       "      <th>V165767</th>\n",
       "      <th>V165768</th>\n",
       "      <th>V165769</th>\n",
       "      <th>V165770</th>\n",
       "      <th>V165771</th>\n",
       "      <th>V165772</th>\n",
       "      <th>V165773</th>\n",
       "      <th>V165774</th>\n",
       "      <th>V165775</th>\n",
       "      <th>V165776</th>\n",
       "      <th>V165777</th>\n",
       "      <th>V165778</th>\n",
       "      <th>V165779</th>\n",
       "      <th>V165780</th>\n",
       "      <th>V165781</th>\n",
       "      <th>V165782</th>\n",
       "      <th>V165783</th>\n",
       "      <th>V165784</th>\n",
       "      <th>V165785</th>\n",
       "      <th>V165786</th>\n",
       "      <th>V165787</th>\n",
       "      <th>V165788</th>\n",
       "      <th>V165789</th>\n",
       "      <th>V165790</th>\n",
       "      <th>V165791</th>\n",
       "      <th>V165792</th>\n",
       "      <th>V165793</th>\n",
       "      <th>V165794</th>\n",
       "      <th>V165795</th>\n",
       "      <th>V165796</th>\n",
       "      <th>V165797</th>\n",
       "      <th>V165798</th>\n",
       "      <th>V165799</th>\n",
       "      <th>V165800</th>\n",
       "      <th>V165801</th>\n",
       "      <th>V165802</th>\n",
       "      <th>V165803</th>\n",
       "      <th>V165804</th>\n",
       "      <th>V165805</th>\n",
       "      <th>V165806</th>\n",
       "      <th>V165807</th>\n",
       "      <th>V165808</th>\n",
       "      <th>V165809</th>\n",
       "      <th>V165810</th>\n",
       "      <th>V166001</th>\n",
       "      <th>V166002</th>\n",
       "      <th>V166003</th>\n",
       "      <th>V166004</th>\n",
       "      <th>V166005</th>\n",
       "      <th>V166006</th>\n",
       "      <th>V166007</th>\n",
       "      <th>V166008</th>\n",
       "      <th>V166009</th>\n",
       "      <th>V166010</th>\n",
       "      <th>V166011</th>\n",
       "      <th>V166012</th>\n",
       "      <th>V166013</th>\n",
       "      <th>V166014</th>\n",
       "      <th>V166015</th>\n",
       "      <th>V166016</th>\n",
       "      <th>V166017</th>\n",
       "      <th>V166018</th>\n",
       "      <th>V166019</th>\n",
       "      <th>V166020</th>\n",
       "      <th>V166021</th>\n",
       "      <th>V166022</th>\n",
       "      <th>V166023</th>\n",
       "      <th>V166024</th>\n",
       "      <th>V166025</th>\n",
       "      <th>V166026</th>\n",
       "      <th>V166027</th>\n",
       "      <th>V166028</th>\n",
       "      <th>V166029</th>\n",
       "      <th>V166030</th>\n",
       "      <th>V166031</th>\n",
       "      <th>V166032</th>\n",
       "      <th>V166033</th>\n",
       "      <th>V166034</th>\n",
       "      <th>V166035</th>\n",
       "      <th>V166036</th>\n",
       "      <th>V166037</th>\n",
       "      <th>V166038</th>\n",
       "      <th>V166039</th>\n",
       "      <th>V166040</th>\n",
       "      <th>V166041</th>\n",
       "      <th>V166042</th>\n",
       "      <th>V166043</th>\n",
       "      <th>V166044</th>\n",
       "      <th>V166045</th>\n",
       "      <th>V166046</th>\n",
       "      <th>V166047</th>\n",
       "      <th>V166048</th>\n",
       "      <th>V166049</th>\n",
       "      <th>V166050</th>\n",
       "      <th>V166051</th>\n",
       "      <th>V166052</th>\n",
       "      <th>V166053</th>\n",
       "      <th>V166054</th>\n",
       "      <th>V166055</th>\n",
       "      <th>V166056</th>\n",
       "      <th>V166057</th>\n",
       "      <th>V166058</th>\n",
       "      <th>V166059</th>\n",
       "      <th>V166060</th>\n",
       "      <th>V166061</th>\n",
       "      <th>V166062</th>\n",
       "      <th>V166063</th>\n",
       "      <th>V166064</th>\n",
       "      <th>V166065</th>\n",
       "      <th>V166066</th>\n",
       "      <th>V166067</th>\n",
       "      <th>V166068</th>\n",
       "      <th>V166069</th>\n",
       "      <th>V166070</th>\n",
       "      <th>V166071</th>\n",
       "      <th>V166072</th>\n",
       "      <th>V166073</th>\n",
       "      <th>V166074</th>\n",
       "      <th>V166075</th>\n",
       "      <th>V166076</th>\n",
       "      <th>V166077</th>\n",
       "      <th>V166078</th>\n",
       "      <th>V166079</th>\n",
       "      <th>V166080</th>\n",
       "      <th>V166081</th>\n",
       "      <th>V166082</th>\n",
       "      <th>V166083</th>\n",
       "      <th>V166084</th>\n",
       "      <th>V166085</th>\n",
       "      <th>V166086</th>\n",
       "      <th>V166087</th>\n",
       "      <th>V166088</th>\n",
       "      <th>V166089</th>\n",
       "      <th>V166090</th>\n",
       "      <th>V166091</th>\n",
       "      <th>V166092</th>\n",
       "      <th>V166093</th>\n",
       "      <th>V166094</th>\n",
       "      <th>V166095</th>\n",
       "      <th>V166096</th>\n",
       "      <th>V166097</th>\n",
       "      <th>V166098</th>\n",
       "      <th>V166099</th>\n",
       "      <th>V166100</th>\n",
       "      <th>V166101</th>\n",
       "      <th>V166102</th>\n",
       "      <th>V166103</th>\n",
       "      <th>V166104</th>\n",
       "      <th>V166105</th>\n",
       "      <th>V166106</th>\n",
       "      <th>V166107</th>\n",
       "      <th>V166108</th>\n",
       "      <th>V166109</th>\n",
       "      <th>V166110</th>\n",
       "      <th>V166111</th>\n",
       "      <th>V166112</th>\n",
       "      <th>V166113</th>\n",
       "      <th>V166114</th>\n",
       "      <th>V166115</th>\n",
       "      <th>V166116</th>\n",
       "      <th>V166117</th>\n",
       "      <th>V166118</th>\n",
       "      <th>V166119</th>\n",
       "      <th>V166120</th>\n",
       "      <th>V166121</th>\n",
       "      <th>V166122</th>\n",
       "      <th>V166123</th>\n",
       "      <th>V166124</th>\n",
       "      <th>V166125</th>\n",
       "      <th>V166126</th>\n",
       "      <th>V166127</th>\n",
       "      <th>V166128</th>\n",
       "      <th>V166129</th>\n",
       "      <th>V166130</th>\n",
       "      <th>V166131</th>\n",
       "      <th>V166132</th>\n",
       "      <th>V166133</th>\n",
       "      <th>V166134</th>\n",
       "      <th>V166135</th>\n",
       "      <th>V166136</th>\n",
       "      <th>V166137</th>\n",
       "      <th>V166138</th>\n",
       "      <th>V166139</th>\n",
       "      <th>V166140</th>\n",
       "      <th>V166141</th>\n",
       "      <th>V166142</th>\n",
       "      <th>V166143</th>\n",
       "      <th>V166144</th>\n",
       "      <th>V166145</th>\n",
       "      <th>V166146</th>\n",
       "      <th>V166147</th>\n",
       "      <th>V166148</th>\n",
       "      <th>V166149</th>\n",
       "      <th>V166150</th>\n",
       "      <th>V166151</th>\n",
       "      <th>V166152</th>\n",
       "      <th>V166153</th>\n",
       "      <th>V166154</th>\n",
       "      <th>V166155</th>\n",
       "      <th>V166156</th>\n",
       "      <th>V166157</th>\n",
       "      <th>V166158</th>\n",
       "      <th>V166159</th>\n",
       "      <th>V166160</th>\n",
       "      <th>V166161</th>\n",
       "      <th>V166162</th>\n",
       "      <th>V166163</th>\n",
       "      <th>V166164</th>\n",
       "      <th>V166165</th>\n",
       "      <th>V166166</th>\n",
       "      <th>V166167</th>\n",
       "      <th>V166168</th>\n",
       "      <th>V166169</th>\n",
       "      <th>V166170</th>\n",
       "      <th>V166171</th>\n",
       "      <th>V166172</th>\n",
       "      <th>V166173</th>\n",
       "      <th>V166174</th>\n",
       "      <th>V166175</th>\n",
       "      <th>V166176</th>\n",
       "      <th>V166177</th>\n",
       "      <th>V166178</th>\n",
       "      <th>V166179</th>\n",
       "      <th>V166180</th>\n",
       "      <th>V166181</th>\n",
       "      <th>V166182</th>\n",
       "      <th>V166183</th>\n",
       "      <th>V166184</th>\n",
       "      <th>V166185</th>\n",
       "      <th>V166186</th>\n",
       "      <th>V166187</th>\n",
       "      <th>V166188</th>\n",
       "      <th>V166189</th>\n",
       "      <th>V166190</th>\n",
       "      <th>V166191</th>\n",
       "      <th>V166192</th>\n",
       "      <th>V166193</th>\n",
       "      <th>V166194</th>\n",
       "      <th>V166195</th>\n",
       "      <th>V166196</th>\n",
       "      <th>V166197</th>\n",
       "      <th>V166198</th>\n",
       "      <th>V166199</th>\n",
       "      <th>V166200</th>\n",
       "      <th>V166201</th>\n",
       "      <th>V166202</th>\n",
       "      <th>V166203</th>\n",
       "      <th>V166204</th>\n",
       "      <th>V166205</th>\n",
       "      <th>V166206</th>\n",
       "      <th>V166207</th>\n",
       "      <th>V166208</th>\n",
       "      <th>V166209</th>\n",
       "      <th>V166210</th>\n",
       "      <th>V166211</th>\n",
       "      <th>V166212</th>\n",
       "      <th>V166213</th>\n",
       "      <th>V166214</th>\n",
       "      <th>V166215</th>\n",
       "      <th>V166216</th>\n",
       "      <th>V166217</th>\n",
       "      <th>V166218</th>\n",
       "      <th>V166219</th>\n",
       "      <th>V166220</th>\n",
       "      <th>V166221</th>\n",
       "      <th>V166222</th>\n",
       "      <th>V166223</th>\n",
       "      <th>V166224</th>\n",
       "      <th>V166225</th>\n",
       "      <th>V166226</th>\n",
       "      <th>V166227</th>\n",
       "      <th>V166228</th>\n",
       "      <th>V166229</th>\n",
       "      <th>V166230</th>\n",
       "      <th>V166231</th>\n",
       "      <th>V167500</th>\n",
       "      <th>V167501</th>\n",
       "      <th>V167502</th>\n",
       "      <th>V167503</th>\n",
       "      <th>V167504</th>\n",
       "      <th>V167505</th>\n",
       "      <th>V167506</th>\n",
       "      <th>V167507</th>\n",
       "      <th>V167508</th>\n",
       "      <th>V167509</th>\n",
       "      <th>V167510</th>\n",
       "      <th>V167511</th>\n",
       "      <th>V167512</th>\n",
       "      <th>V167513</th>\n",
       "      <th>V167514</th>\n",
       "      <th>V167515</th>\n",
       "      <th>V167516</th>\n",
       "      <th>V167517</th>\n",
       "      <th>V167518</th>\n",
       "      <th>V167519</th>\n",
       "      <th>V167520</th>\n",
       "      <th>V167521</th>\n",
       "      <th>V167522</th>\n",
       "      <th>V167523</th>\n",
       "      <th>V167524</th>\n",
       "      <th>V167525</th>\n",
       "      <th>V167526</th>\n",
       "      <th>V167527</th>\n",
       "      <th>V167528</th>\n",
       "      <th>V167529</th>\n",
       "      <th>V167530</th>\n",
       "      <th>V167531</th>\n",
       "      <th>V167532</th>\n",
       "      <th>V167533</th>\n",
       "      <th>V167534</th>\n",
       "      <th>V167535</th>\n",
       "      <th>V167536</th>\n",
       "      <th>V167537</th>\n",
       "      <th>V167538</th>\n",
       "      <th>V167539</th>\n",
       "      <th>V167540</th>\n",
       "      <th>V167541</th>\n",
       "      <th>V167542</th>\n",
       "      <th>V167543</th>\n",
       "      <th>V167544</th>\n",
       "      <th>V167545</th>\n",
       "      <th>V167546</th>\n",
       "      <th>V167547</th>\n",
       "      <th>V167548</th>\n",
       "      <th>V167549</th>\n",
       "      <th>V167550</th>\n",
       "      <th>V167551</th>\n",
       "      <th>V167552</th>\n",
       "      <th>V167553</th>\n",
       "      <th>V167554</th>\n",
       "      <th>V167555</th>\n",
       "      <th>V167556</th>\n",
       "      <th>V167557</th>\n",
       "      <th>V167558</th>\n",
       "      <th>V168000</th>\n",
       "      <th>V168001</th>\n",
       "      <th>V168002</th>\n",
       "      <th>V168003</th>\n",
       "      <th>V168004</th>\n",
       "      <th>V168005</th>\n",
       "      <th>V168006</th>\n",
       "      <th>V168007</th>\n",
       "      <th>V168008</th>\n",
       "      <th>V168009</th>\n",
       "      <th>V168010</th>\n",
       "      <th>V168011</th>\n",
       "      <th>V168012</th>\n",
       "      <th>V168013</th>\n",
       "      <th>V168014</th>\n",
       "      <th>V168015</th>\n",
       "      <th>V168016</th>\n",
       "      <th>V168017</th>\n",
       "      <th>V168018</th>\n",
       "      <th>V168019</th>\n",
       "      <th>V168020</th>\n",
       "      <th>V168021</th>\n",
       "      <th>V168022</th>\n",
       "      <th>V168023</th>\n",
       "      <th>V168024</th>\n",
       "      <th>V168025</th>\n",
       "      <th>V168026</th>\n",
       "      <th>V168027</th>\n",
       "      <th>V168028</th>\n",
       "      <th>V168029</th>\n",
       "      <th>V168030</th>\n",
       "      <th>V168031</th>\n",
       "      <th>V168032</th>\n",
       "      <th>V168033</th>\n",
       "      <th>V168034</th>\n",
       "      <th>V168035</th>\n",
       "      <th>V168036</th>\n",
       "      <th>V168037</th>\n",
       "      <th>V168038</th>\n",
       "      <th>V168039</th>\n",
       "      <th>V168040</th>\n",
       "      <th>V168100</th>\n",
       "      <th>V168101</th>\n",
       "      <th>V168102</th>\n",
       "      <th>V168103</th>\n",
       "      <th>V168104</th>\n",
       "      <th>V168105</th>\n",
       "      <th>V168106</th>\n",
       "      <th>V168107</th>\n",
       "      <th>V168108</th>\n",
       "      <th>V168109</th>\n",
       "      <th>V168110</th>\n",
       "      <th>V168111</th>\n",
       "      <th>V168112</th>\n",
       "      <th>V168113</th>\n",
       "      <th>V168114</th>\n",
       "      <th>V168115</th>\n",
       "      <th>V168116</th>\n",
       "      <th>V168117</th>\n",
       "      <th>V168118</th>\n",
       "      <th>V168119</th>\n",
       "      <th>V168120</th>\n",
       "      <th>V168121</th>\n",
       "      <th>V168122</th>\n",
       "      <th>V168123</th>\n",
       "      <th>V168124</th>\n",
       "      <th>V168125</th>\n",
       "      <th>V168126</th>\n",
       "      <th>V168127</th>\n",
       "      <th>V168128</th>\n",
       "      <th>V168129</th>\n",
       "      <th>V168130</th>\n",
       "      <th>V168131</th>\n",
       "      <th>V168132</th>\n",
       "      <th>V168250</th>\n",
       "      <th>V168251</th>\n",
       "      <th>V168252</th>\n",
       "      <th>V168253</th>\n",
       "      <th>V168254</th>\n",
       "      <th>V168255</th>\n",
       "      <th>V168256</th>\n",
       "      <th>V168257</th>\n",
       "      <th>V168258</th>\n",
       "      <th>V168259</th>\n",
       "      <th>V168260</th>\n",
       "      <th>V168261</th>\n",
       "      <th>V168262</th>\n",
       "      <th>V168263</th>\n",
       "      <th>V168264</th>\n",
       "      <th>V168265</th>\n",
       "      <th>V168266</th>\n",
       "      <th>V168300</th>\n",
       "      <th>V168301</th>\n",
       "      <th>V168302</th>\n",
       "      <th>V168303</th>\n",
       "      <th>V168304</th>\n",
       "      <th>V168305</th>\n",
       "      <th>V168306</th>\n",
       "      <th>V168307</th>\n",
       "      <th>V168308</th>\n",
       "      <th>V168309</th>\n",
       "      <th>V168310</th>\n",
       "      <th>V168311</th>\n",
       "      <th>V168312</th>\n",
       "      <th>V168313</th>\n",
       "      <th>V168314</th>\n",
       "      <th>V168315</th>\n",
       "      <th>V168316</th>\n",
       "      <th>V168500</th>\n",
       "      <th>V168501</th>\n",
       "      <th>V168502</th>\n",
       "      <th>V168503</th>\n",
       "      <th>V168504</th>\n",
       "      <th>V168505</th>\n",
       "      <th>V168506</th>\n",
       "      <th>V168507</th>\n",
       "      <th>V168508</th>\n",
       "      <th>V168509</th>\n",
       "      <th>V168510</th>\n",
       "      <th>V168511</th>\n",
       "      <th>V168512</th>\n",
       "      <th>V168513</th>\n",
       "      <th>V168514</th>\n",
       "      <th>V168515</th>\n",
       "      <th>V168516</th>\n",
       "      <th>V168517</th>\n",
       "      <th>V168518</th>\n",
       "      <th>V168519</th>\n",
       "      <th>V168520</th>\n",
       "      <th>V168521</th>\n",
       "      <th>V168522</th>\n",
       "      <th>V168523</th>\n",
       "      <th>V168524</th>\n",
       "      <th>V168525</th>\n",
       "      <th>V168526</th>\n",
       "      <th>V168527</th>\n",
       "      <th>V168528</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 1842 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [version, V160001, V160001_orig, V160101, V160101f, V160101w, V160102, V160102f, V160102w, V160201, V160201f, V160201w, V160202, V160202f, V160202w, V160501, V160502, V161001, V161002, V161003, V161004, V161005, V161006, V161007, V161008, V161009, V161010a, V161010b, V161010c, V161010d, V161010e, V161010f, V161011, V161011a, V161012, V161013a, V161013b, V161014, V161015a, V161015b, V161015c, V161015d, V161015e, V161016, V161017, V161018, V161019, V161020, V161021, V161021a, V161022, V161022a, V161023, V161024x, V161025, V161025a, V161025x, V161026, V161027, V161028, V161029a, V161029b, V161030, V161031, V161032, V161033, V161034, V161035, V161036, V161037, V161038, V161039, V161040, V161041, V161042, V161043, V161044, V161045x, V161046, V161047, V161048, V161049, V161050, V161051, V161052, V161053, V161054, V161055, V161056, V161057, V161058, V161059, V161060, V161061, V161062, V161063, V161064x, V161065x, V161066x, V161067x, ...]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 1842 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.duplicated(),]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interesting Columns\n",
    "\n",
    "* V161086: (PRE) Thermometer - Democratic Presidential Candidate\n",
    "* V161087: (PRE) Thermometer - Republican Presidential Candidate\n",
    "\n",
    "* ~V162078: (POST) Thermometer - Democratic Presidential Candidate~\n",
    "* ~V162079: (POST) Thermometer - Republican Presidential Candidate~\n",
    "\n",
    "* V160001: Study Respondent Number: Year-Level CaseID\n",
    "* ~VCF0009z: Weight (???)~ see table below\n",
    "* V160501: Mode of Interview\n",
    "* V161267: (PRE) Respondent - Age\n",
    "* V161342: Respondent - R self-identified gender\n",
    "\n",
    "* V165702: Interview Start Date\n",
    "* V165703: Interview Start Time\n",
    "* V165704: Interview End Date\n",
    "* V165705: Interview End Time\n",
    "\n",
    "\n",
    "* V161155: PRE: party ID: Does R think of self as Dem, Rep, Ind or what?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Weights_\n",
    "To analyze the complete dataset (both web and face‐to‐face modes) using variables from the post‐\n",
    "election survey only or from both the pre‐election and post‐election questionnaires, use the weight\n",
    "V160102. For analysis of the complete dataset using only the pre‐election questionnaire data, use the\n",
    "weight V160101.\n",
    "\n",
    "_From page 6 of the codebook_\n",
    "\n",
    "* V160101w: Internet mode alone, using data from only the pre‐election survey\n",
    "\n",
    "Since we are working only with web data (becauase that is the one with the survey date mentioned) we would need to use `V160101w` only"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rename Columns\n",
    "\n",
    "These column names are too unfriendly to work with.  We can rename them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>V161086</th>\n",
       "      <th>V161087</th>\n",
       "      <th>V160001</th>\n",
       "      <th>V160501</th>\n",
       "      <th>V161267</th>\n",
       "      <th>V161342</th>\n",
       "      <th>V165702</th>\n",
       "      <th>V165703</th>\n",
       "      <th>V165704</th>\n",
       "      <th>V165705</th>\n",
       "      <th>V161155</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>58.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>0. No preference (FTF ONLY)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>3. Independent</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4265</th>\n",
       "      <td>86.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5086.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161028</td>\n",
       "      <td>050427</td>\n",
       "      <td>20161028</td>\n",
       "      <td>050846</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4266</th>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5087.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20160919</td>\n",
       "      <td>124955</td>\n",
       "      <td>20160919</td>\n",
       "      <td>130021</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4267</th>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>5088.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161018</td>\n",
       "      <td>175632</td>\n",
       "      <td>20161018</td>\n",
       "      <td>175922</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4268</th>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161021</td>\n",
       "      <td>054746</td>\n",
       "      <td>20161021</td>\n",
       "      <td>054849</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4269</th>\n",
       "      <td>60.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5090.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161019</td>\n",
       "      <td>191857</td>\n",
       "      <td>20161019</td>\n",
       "      <td>192434</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4270 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     V161086 V161087  V160001       V160501 V161267    V161342  \\\n",
       "0        0.0    85.0      1.0  1. FTF /CASI    29.0    1. Male   \n",
       "1        0.0    85.0      2.0  1. FTF /CASI    26.0    1. Male   \n",
       "2       50.0    60.0      3.0  1. FTF /CASI    23.0    1. Male   \n",
       "3        0.0    60.0      4.0  1. FTF /CASI    58.0    1. Male   \n",
       "4       15.0     0.0      5.0  1. FTF /CASI    38.0  2. Female   \n",
       "...      ...     ...      ...           ...     ...        ...   \n",
       "4265    86.0     3.0   5086.0        2. Web    37.0  2. Female   \n",
       "4266    50.0   100.0   5087.0        2. Web    82.0    1. Male   \n",
       "4267     0.0    86.0   5088.0        2. Web    27.0    1. Male   \n",
       "4268    85.0     0.0   5089.0        2. Web    39.0  2. Female   \n",
       "4269    60.0    40.0   5090.0        2. Web    52.0    1. Male   \n",
       "\n",
       "                           V165702                       V165703  \\\n",
       "0     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "1     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "2     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "3     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "4     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "...                            ...                           ...   \n",
       "4265                      20161028                        050427   \n",
       "4266                      20160919                        124955   \n",
       "4267                      20161018                        175632   \n",
       "4268                      20161021                        054746   \n",
       "4269                      20161019                        191857   \n",
       "\n",
       "                           V165704                       V165705  \\\n",
       "0     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "1     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "2     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "3     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "4     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "...                            ...                           ...   \n",
       "4265                      20161028                        050846   \n",
       "4266                      20160919                        130021   \n",
       "4267                      20161018                        175922   \n",
       "4268                      20161021                        054849   \n",
       "4269                      20161019                        192434   \n",
       "\n",
       "                          V161155  \n",
       "0                   2. Republican  \n",
       "1                   2. Republican  \n",
       "2                  3. Independent  \n",
       "3     0. No preference (FTF ONLY)  \n",
       "4                  3. Independent  \n",
       "...                           ...  \n",
       "4265                  1. Democrat  \n",
       "4266                  1. Democrat  \n",
       "4267                  1. Democrat  \n",
       "4268                  1. Democrat  \n",
       "4269                2. Republican  \n",
       "\n",
       "[4270 rows x 11 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interesting_cols = ['V161086', 'V161087', 'V160001', 'V160501', 'V161267', 'V161342', 'V165702', 'V165703', \n",
    "           'V165704', 'V165705', 'V161155']\n",
    "df_clean = df[interesting_cols]\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_93800/408802456.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_clean.rename(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>caseid</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>interview_start_date</th>\n",
       "      <th>interview_start_time</th>\n",
       "      <th>interview_end_date</th>\n",
       "      <th>interview_end_time</th>\n",
       "      <th>party_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>58.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>0. No preference (FTF ONLY)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1. FTF /CASI</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>-2. Inapplicable, FTF sample</td>\n",
       "      <td>3. Independent</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4265</th>\n",
       "      <td>86.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5086.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161028</td>\n",
       "      <td>050427</td>\n",
       "      <td>20161028</td>\n",
       "      <td>050846</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4266</th>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5087.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20160919</td>\n",
       "      <td>124955</td>\n",
       "      <td>20160919</td>\n",
       "      <td>130021</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4267</th>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>5088.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161018</td>\n",
       "      <td>175632</td>\n",
       "      <td>20161018</td>\n",
       "      <td>175922</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4268</th>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161021</td>\n",
       "      <td>054746</td>\n",
       "      <td>20161021</td>\n",
       "      <td>054849</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4269</th>\n",
       "      <td>60.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5090.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161019</td>\n",
       "      <td>191857</td>\n",
       "      <td>20161019</td>\n",
       "      <td>192434</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4270 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ft_dem ft_rep  caseid interview_mode   age     gender  \\\n",
       "0       0.0   85.0     1.0   1. FTF /CASI  29.0    1. Male   \n",
       "1       0.0   85.0     2.0   1. FTF /CASI  26.0    1. Male   \n",
       "2      50.0   60.0     3.0   1. FTF /CASI  23.0    1. Male   \n",
       "3       0.0   60.0     4.0   1. FTF /CASI  58.0    1. Male   \n",
       "4      15.0    0.0     5.0   1. FTF /CASI  38.0  2. Female   \n",
       "...     ...    ...     ...            ...   ...        ...   \n",
       "4265   86.0    3.0  5086.0         2. Web  37.0  2. Female   \n",
       "4266   50.0  100.0  5087.0         2. Web  82.0    1. Male   \n",
       "4267    0.0   86.0  5088.0         2. Web  27.0    1. Male   \n",
       "4268   85.0    0.0  5089.0         2. Web  39.0  2. Female   \n",
       "4269   60.0   40.0  5090.0         2. Web  52.0    1. Male   \n",
       "\n",
       "              interview_start_date          interview_start_time  \\\n",
       "0     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "1     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "2     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "3     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "4     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "...                            ...                           ...   \n",
       "4265                      20161028                        050427   \n",
       "4266                      20160919                        124955   \n",
       "4267                      20161018                        175632   \n",
       "4268                      20161021                        054746   \n",
       "4269                      20161019                        191857   \n",
       "\n",
       "                interview_end_date            interview_end_time  \\\n",
       "0     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "1     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "2     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "3     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "4     -2. Inapplicable, FTF sample  -2. Inapplicable, FTF sample   \n",
       "...                            ...                           ...   \n",
       "4265                      20161028                        050846   \n",
       "4266                      20160919                        130021   \n",
       "4267                      20161018                        175922   \n",
       "4268                      20161021                        054849   \n",
       "4269                      20161019                        192434   \n",
       "\n",
       "                         party_id  \n",
       "0                   2. Republican  \n",
       "1                   2. Republican  \n",
       "2                  3. Independent  \n",
       "3     0. No preference (FTF ONLY)  \n",
       "4                  3. Independent  \n",
       "...                           ...  \n",
       "4265                  1. Democrat  \n",
       "4266                  1. Democrat  \n",
       "4267                  1. Democrat  \n",
       "4268                  1. Democrat  \n",
       "4269                2. Republican  \n",
       "\n",
       "[4270 rows x 11 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.rename(\n",
    "    columns={\n",
    "        'V161086': 'ft_dem',                       # * V161086: (PRE) Thermometer - Democratic Presidential Candidate\n",
    "        'V161087': 'ft_rep',                       # * V161087: (PRE) Thermometer - Republican Presidential Candidate\n",
    "        'V160001': 'caseid',                       # * V160001: Study Respondent Number: Year-Level CaseID\n",
    "        'V160501': 'interview_mode',               # * V160501: Mode of Interview\n",
    "        'V161267': 'age',                          # * V161267: (PRE) Respondent - Age\n",
    "        'V161342': 'gender',                       # * V161342: Respondent - R self-identified gender\n",
    "        'V165702': 'interview_start_date',         # * V165702: Interview Start Date\n",
    "        'V165703': 'interview_start_time',         # * V165703: Interview Start Time\n",
    "        'V165704': 'interview_end_date',           # * V165704: Interview End Date\n",
    "        'V165705': 'interview_end_time',           # * V165705: Interview End Time\n",
    "        'V161155': 'party_id'                      # * V161155: PRE: party ID: Does R think of self as Dem, Rep, Ind or what?\n",
    "    }, \n",
    "inplace=True)\n",
    "\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove FTF Data\n",
    "\n",
    "FTF samples don't contain the start date or time of the interview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>caseid</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>interview_start_date</th>\n",
       "      <th>interview_start_time</th>\n",
       "      <th>interview_end_date</th>\n",
       "      <th>interview_end_time</th>\n",
       "      <th>party_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>71.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20160916</td>\n",
       "      <td>202052</td>\n",
       "      <td>20160916</td>\n",
       "      <td>202735</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>50.0</td>\n",
       "      <td>-99. Refused</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20160929</td>\n",
       "      <td>040557</td>\n",
       "      <td>20160929</td>\n",
       "      <td>041112</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161031</td>\n",
       "      <td>163935</td>\n",
       "      <td>20161031</td>\n",
       "      <td>164031</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161029</td>\n",
       "      <td>222111</td>\n",
       "      <td>20161029</td>\n",
       "      <td>222815</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>42.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20160914</td>\n",
       "      <td>034508</td>\n",
       "      <td>20160914</td>\n",
       "      <td>034623</td>\n",
       "      <td>5. Other party SPECIFY</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4265</th>\n",
       "      <td>86.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5086.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161028</td>\n",
       "      <td>050427</td>\n",
       "      <td>20161028</td>\n",
       "      <td>050846</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4266</th>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>5087.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>82.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20160919</td>\n",
       "      <td>124955</td>\n",
       "      <td>20160919</td>\n",
       "      <td>130021</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4267</th>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>5088.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161018</td>\n",
       "      <td>175632</td>\n",
       "      <td>20161018</td>\n",
       "      <td>175922</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4268</th>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5089.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>20161021</td>\n",
       "      <td>054746</td>\n",
       "      <td>20161021</td>\n",
       "      <td>054849</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4269</th>\n",
       "      <td>60.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5090.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>20161019</td>\n",
       "      <td>191857</td>\n",
       "      <td>20161019</td>\n",
       "      <td>192434</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3090 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     ft_dem        ft_rep  caseid interview_mode   age     gender  \\\n",
       "1180   71.0           2.0  2001.0         2. Web  51.0    1. Male   \n",
       "1181   50.0  -99. Refused  2002.0         2. Web  26.0    1. Male   \n",
       "1182   85.0           0.0  2003.0         2. Web  56.0    1. Male   \n",
       "1183   70.0           0.0  2004.0         2. Web  20.0  2. Female   \n",
       "1184   42.0          50.0  2005.0         2. Web  26.0  2. Female   \n",
       "...     ...           ...     ...            ...   ...        ...   \n",
       "4265   86.0           3.0  5086.0         2. Web  37.0  2. Female   \n",
       "4266   50.0         100.0  5087.0         2. Web  82.0    1. Male   \n",
       "4267    0.0          86.0  5088.0         2. Web  27.0    1. Male   \n",
       "4268   85.0           0.0  5089.0         2. Web  39.0  2. Female   \n",
       "4269   60.0          40.0  5090.0         2. Web  52.0    1. Male   \n",
       "\n",
       "     interview_start_date interview_start_time interview_end_date  \\\n",
       "1180             20160916               202052           20160916   \n",
       "1181             20160929               040557           20160929   \n",
       "1182             20161031               163935           20161031   \n",
       "1183             20161029               222111           20161029   \n",
       "1184             20160914               034508           20160914   \n",
       "...                   ...                  ...                ...   \n",
       "4265             20161028               050427           20161028   \n",
       "4266             20160919               124955           20160919   \n",
       "4267             20161018               175632           20161018   \n",
       "4268             20161021               054746           20161021   \n",
       "4269             20161019               191857           20161019   \n",
       "\n",
       "     interview_end_time                party_id  \n",
       "1180             202735          3. Independent  \n",
       "1181             041112          3. Independent  \n",
       "1182             164031           2. Republican  \n",
       "1183             222815             1. Democrat  \n",
       "1184             034623  5. Other party SPECIFY  \n",
       "...                 ...                     ...  \n",
       "4265             050846             1. Democrat  \n",
       "4266             130021             1. Democrat  \n",
       "4267             175922             1. Democrat  \n",
       "4268             054849             1. Democrat  \n",
       "4269             192434           2. Republican  \n",
       "\n",
       "[3090 rows x 11 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean = df_clean[df_clean[\"interview_mode\"] == \"2. Web\"]\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Is there anyone without a Feeling Thermometer?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean = df_clean[ ~df_clean[\"ft_dem\"].str.startswith('-99', na=False) ]  # Refused\n",
    "df_clean = df_clean[ ~df_clean[\"ft_dem\"].str.startswith('-88', na=False) ]  # Don't Know"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean = df_clean[ ~df_clean[\"ft_rep\"].str.startswith('-99', na=False) ]\n",
    "df_clean = df_clean[ ~df_clean[\"ft_rep\"].str.startswith('-88', na=False) ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Proper column types\n",
    "Fix the column types so that they are interpreted properly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean[\"ft_dem\"] = pd.to_numeric(df_clean[\"ft_dem\"])\n",
    "df_clean[\"ft_rep\"] = pd.to_numeric(df_clean[\"ft_rep\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean[\"interview_start_date\"] = pd.to_datetime(df_clean[\"interview_start_date\"])\n",
    "df_clean[\"interview_end_date\"] = pd.to_datetime(df_clean[\"interview_end_date\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean[\"interview_start_time\"] = pd.to_datetime(df_clean[\"interview_start_time\"], format=\"%H%M%S\")\n",
    "df_clean[\"interview_end_time\"] = pd.to_datetime(df_clean[\"interview_end_time\"], format=\"%H%M%S\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Any interviews that crossed days?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n_multidaysurveys=45; n_singledaysurveys=2989\n"
     ]
    }
   ],
   "source": [
    "n_multidaysurveys = len(df_clean[df_clean[\"interview_start_date\"] != df_clean[\"interview_end_date\"]])\n",
    "n_singledaysurveys = len(df_clean[df_clean[\"interview_start_date\"] == df_clean[\"interview_end_date\"]])\n",
    "\n",
    "\n",
    "\n",
    "print(f\"{n_multidaysurveys=}; {n_singledaysurveys=}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save the Clean Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean.to_csv(\"2016_clean.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean = pd.read_csv(\"2016_clean.csv\", parse_dates = ['interview_start_date', 'interview_end_date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "demblue = \"#0015BC\"\n",
    "repred = \"#FF0000\"\n",
    "demgrey = \"#9EA4BF\"\n",
    "repgrey = \"#BF9EA2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_dem', ylabel='Count'>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_clean,\n",
    "    x = \"ft_dem\",\n",
    "    ax=ax,\n",
    "    palette=[demblue],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ft_rep', ylabel='Count'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sns.histplot(\n",
    "    data = df_clean,\n",
    "    x = \"ft_rep\",\n",
    "    ax=ax,\n",
    "    palette=[repred],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6c18e4e110>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "sns.kdeplot(\n",
    "    data = df_clean,\n",
    "    x = \"ft_dem\",\n",
    "    ax = ax,\n",
    "    color = demblue,\n",
    "    label = 'Clinton'\n",
    ")\n",
    "sns.kdeplot(\n",
    "    data = df_clean,\n",
    "    x = \"ft_rep\",\n",
    "    ax = ax,\n",
    "    color = repred,\n",
    "    label = 'Trump'\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_ylabel(\"Density of Respondents\", fontsize=16)\n",
    "ax.set_title(\"2016\", fontsize=22)\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Date Window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start_date=datetime.datetime(2016, 10, 25, 0, 0); end_date=datetime.datetime(2016, 11, 1, 0, 0)\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "start_date = datetime.datetime(2016, 10, 25)\n",
    "end_date = datetime.datetime(2016, 11, 1)\n",
    "\n",
    "print(f\"{start_date=}; {end_date=}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean = df_clean[ df_clean[\"interview_start_date\"] >= start_date ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_clean = df_clean[ df_clean[\"interview_start_date\"] <= end_date ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "168"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_clean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ft_dem</th>\n",
       "      <th>ft_rep</th>\n",
       "      <th>caseid</th>\n",
       "      <th>interview_mode</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>interview_start_date</th>\n",
       "      <th>interview_start_time</th>\n",
       "      <th>interview_end_date</th>\n",
       "      <th>interview_end_time</th>\n",
       "      <th>party_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1182</td>\n",
       "      <td>85.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>1900-01-01 16:39:35</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>1900-01-01 16:40:31</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1183</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>2016-10-29</td>\n",
       "      <td>1900-01-01 22:21:11</td>\n",
       "      <td>2016-10-29</td>\n",
       "      <td>1900-01-01 22:28:15</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1194</td>\n",
       "      <td>2.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>34.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>2016-10-26</td>\n",
       "      <td>1900-01-01 03:29:36</td>\n",
       "      <td>2016-10-26</td>\n",
       "      <td>1900-01-01 03:30:40</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1209</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2030.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>54.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>2016-10-26</td>\n",
       "      <td>1900-01-01 23:32:47</td>\n",
       "      <td>2016-10-26</td>\n",
       "      <td>1900-01-01 23:38:46</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>1246</td>\n",
       "      <td>2.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>2067.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>46.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>1900-01-01 15:55:42</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>1900-01-01 15:56:12</td>\n",
       "      <td>2. Republican</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2924</th>\n",
       "      <td>4158</td>\n",
       "      <td>40.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4979.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>58.0</td>\n",
       "      <td>1. Male</td>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>1900-01-01 15:49:27</td>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>1900-01-01 15:50:04</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>4250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>5071.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>2016-10-25</td>\n",
       "      <td>1900-01-01 19:32:37</td>\n",
       "      <td>2016-10-25</td>\n",
       "      <td>1900-01-01 19:32:53</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3021</th>\n",
       "      <td>4257</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5078.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>90. Age 90 or older</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>1900-01-01 12:01:02</td>\n",
       "      <td>2016-10-31</td>\n",
       "      <td>1900-01-01 12:01:19</td>\n",
       "      <td>3. Independent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3022</th>\n",
       "      <td>4258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5079.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>76.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>2016-10-27</td>\n",
       "      <td>1900-01-01 17:47:40</td>\n",
       "      <td>2016-10-27</td>\n",
       "      <td>1900-01-01 17:48:49</td>\n",
       "      <td>2. Republican</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3029</th>\n",
       "      <td>4265</td>\n",
       "      <td>86.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5086.0</td>\n",
       "      <td>2. Web</td>\n",
       "      <td>37.0</td>\n",
       "      <td>2. Female</td>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>1900-01-01 05:04:27</td>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>1900-01-01 05:08:46</td>\n",
       "      <td>1. Democrat</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>168 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0  ft_dem  ft_rep  caseid interview_mode                  age  \\\n",
       "1           1182    85.0     0.0  2003.0         2. Web                 56.0   \n",
       "2           1183    70.0     0.0  2004.0         2. Web                 20.0   \n",
       "13          1194     2.0    91.0  2015.0         2. Web                 34.0   \n",
       "28          1209     0.0    15.0  2030.0         2. Web                 54.0   \n",
       "64          1246     2.0    51.0  2067.0         2. Web                 46.0   \n",
       "...          ...     ...     ...     ...            ...                  ...   \n",
       "2924        4158    40.0    15.0  4979.0         2. Web                 58.0   \n",
       "3014        4250     0.0    70.0  5071.0         2. Web                 36.0   \n",
       "3021        4257     0.0    15.0  5078.0         2. Web  90. Age 90 or older   \n",
       "3022        4258     0.0    40.0  5079.0         2. Web                 76.0   \n",
       "3029        4265    86.0     3.0  5086.0         2. Web                 37.0   \n",
       "\n",
       "         gender interview_start_date interview_start_time interview_end_date  \\\n",
       "1       1. Male           2016-10-31  1900-01-01 16:39:35         2016-10-31   \n",
       "2     2. Female           2016-10-29  1900-01-01 22:21:11         2016-10-29   \n",
       "13    2. Female           2016-10-26  1900-01-01 03:29:36         2016-10-26   \n",
       "28      1. Male           2016-10-26  1900-01-01 23:32:47         2016-10-26   \n",
       "64      1. Male           2016-10-31  1900-01-01 15:55:42         2016-10-31   \n",
       "...         ...                  ...                  ...                ...   \n",
       "2924    1. Male           2016-10-28  1900-01-01 15:49:27         2016-10-28   \n",
       "3014  2. Female           2016-10-25  1900-01-01 19:32:37         2016-10-25   \n",
       "3021  2. Female           2016-10-31  1900-01-01 12:01:02         2016-10-31   \n",
       "3022  2. Female           2016-10-27  1900-01-01 17:47:40         2016-10-27   \n",
       "3029  2. Female           2016-10-28  1900-01-01 05:04:27         2016-10-28   \n",
       "\n",
       "       interview_end_time        party_id  \n",
       "1     1900-01-01 16:40:31   2. Republican  \n",
       "2     1900-01-01 22:28:15     1. Democrat  \n",
       "13    1900-01-01 03:30:40  3. Independent  \n",
       "28    1900-01-01 23:38:46  3. Independent  \n",
       "64    1900-01-01 15:56:12   2. Republican  \n",
       "...                   ...             ...  \n",
       "2924  1900-01-01 15:50:04     1. Democrat  \n",
       "3014  1900-01-01 19:32:53   2. Republican  \n",
       "3021  1900-01-01 12:01:19  3. Independent  \n",
       "3022  1900-01-01 17:48:49   2. Republican  \n",
       "3029  1900-01-01 05:08:46     1. Democrat  \n",
       "\n",
       "[168 rows x 12 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6c18e2aad0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "sns.kdeplot(\n",
    "    data = df_clean,\n",
    "    x = \"ft_dem\",\n",
    "    ax = ax,\n",
    "    color = demblue,\n",
    "    label = 'Clinton'\n",
    ")\n",
    "sns.kdeplot(\n",
    "    data = df_clean,\n",
    "    x = \"ft_rep\",\n",
    "    ax = ax,\n",
    "    color = repred,\n",
    "    label = 'Trump'\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_ylabel(\"Density of Respondents\", fontsize=16)\n",
    "ax.set_title(\"2016\", fontsize=22)\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "groupped_df = df_clean.groupby('interview_start_date', as_index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_dem</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interview_start_date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-10-25</th>\n",
       "      <td>32.967742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-26</th>\n",
       "      <td>38.851852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-27</th>\n",
       "      <td>39.357143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-28</th>\n",
       "      <td>39.541667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-29</th>\n",
       "      <td>38.055556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-30</th>\n",
       "      <td>45.555556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-31</th>\n",
       "      <td>39.647059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-01</th>\n",
       "      <td>42.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         ft_dem\n",
       "interview_start_date           \n",
       "2016-10-25            32.967742\n",
       "2016-10-26            38.851852\n",
       "2016-10-27            39.357143\n",
       "2016-10-28            39.541667\n",
       "2016-10-29            38.055556\n",
       "2016-10-30            45.555556\n",
       "2016-10-31            39.647059\n",
       "2016-11-01            42.500000"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ft_dem = df_clean.groupby('interview_start_date', as_index=False)['ft_dem'].mean()\n",
    "mean_ft_dem = mean_ft_dem.set_index(\"interview_start_date\")\n",
    "mean_ft_dem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ft_rep</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interview_start_date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-10-25</th>\n",
       "      <td>38.419355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-26</th>\n",
       "      <td>33.148148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-27</th>\n",
       "      <td>46.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-28</th>\n",
       "      <td>39.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-29</th>\n",
       "      <td>39.277778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-30</th>\n",
       "      <td>16.222222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-31</th>\n",
       "      <td>42.058824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-01</th>\n",
       "      <td>42.714286</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         ft_rep\n",
       "interview_start_date           \n",
       "2016-10-25            38.419355\n",
       "2016-10-26            33.148148\n",
       "2016-10-27            46.500000\n",
       "2016-10-28            39.875000\n",
       "2016-10-29            39.277778\n",
       "2016-10-30            16.222222\n",
       "2016-10-31            42.058824\n",
       "2016-11-01            42.714286"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ft_rep = df_clean.groupby('interview_start_date', as_index=False)['ft_rep'].mean()\n",
    "mean_ft_rep = mean_ft_rep.set_index(\"interview_start_date\")\n",
    "mean_ft_rep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '2016 ANES Survey Around October Surprise')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 8))\n",
    "\n",
    "sns.lineplot(\n",
    "    data = mean_ft_dem, \n",
    "    ax = ax,\n",
    "    x = \"interview_start_date\", \n",
    "    y = \"ft_dem\",\n",
    "    color = demblue\n",
    ")\n",
    "sns.lineplot(\n",
    "    data = mean_ft_rep, \n",
    "    ax = ax,\n",
    "    x = \"interview_start_date\", \n",
    "    y = \"ft_rep\",\n",
    "    color = repred\n",
    ")\n",
    "\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.set_xlabel(\"Interview Start Date\", fontsize=16)\n",
    "ax.set_ylabel(\"Feeling Thermometer Temperature\", fontsize=16)\n",
    "ax.set_title(\"2016 ANES Survey Around October Surprise\", fontsize=22)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sicss",
   "language": "python",
   "name": "sicss"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}