naturale0/2017 대선 지지층 분석.ipynb

## 2017 대선 지지층 분석.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* [KoPre2017](https://gist.github.com/Sihyung-Park/e04a4e5a518062e27bbcf7b76380d903) 참고"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from KoPre2017 import NaverPollCrawler\n",
    "from konlpy.utils import pprint\n",
    "import seaborn.apionly as sns\n",
    "import StringIO\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "npc = NaverPollCrawler()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 여론조사 집계시작 이후 현재까지 지지율 추이"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ea8lCdKplz/j2ZahSwlLqqDOR3bcEbQBrlUq1EigK1AZ8/3NcOyAqswNMnz49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FJjRpLGjJEaJ43USPWqfN1ksrwkzPKSEKUhm0szvSzJ8nBGivuwDAx9zYGgxfNFIZ4p0En1qFyX\n4+XfMiAhVNgqlFV/Ju6cS/vVjq6wp8niod0BXi8Pc3Ouj9vH+0mJxClLMdwDAh9eid1UQNwZL6Im\n5EbbHMkwxKysYt95F2PrOhM/XotrxIgetSOE4H/26fxsV4AnpiVwaZaXUt3m0fwgTxfqnJPm5p6J\ncZw0UuvjLZB0haAleLU0xNREjenSB5JBhrBCjjCsWIdZsQGrYgNo8Wjpc3Cln44aP5bwrqewqjfh\nmXIr3sk3oXiTB84+M0Do858R3v0s3pN+hmfSdX0+aMwOlh0kjkWwFC1zHlr2RbhST8FCZWejI3xb\nen23NZhk+lRmRITvySOdV3IXBpjtbrJ4uTTEspIQxUGbSzK9LM7ycNaovhPGpi14s8LgqQKddTUG\n38rycl2Oj5OTBsc5am+zxS93B3i1NMyNuT7unOAn1euSYri7CNsivPO3hLb/N74Zv8I98Wo5gl8y\n4IR278GsqCJ+zmk9+n2DYXPt503sabZYNnMEEw7pBW4wbJ4u0Pltvs5xiS7umehnfqo7qvt6kylQ\nocspdw5FCAG2AZaOsIJg6aAloPpiq1pfUdDij/t1ninQmT5CY1uDyZVjffxkclyP82hKYg8hbKyq\nTzGLV2CWfYCaOAEt/XRc6XNQR04ZdNcVW6/CqtiAWbkeq2IDVs1W1BGTW7dJS5+DGp992O+s2u2E\ndvwas+ifuCdehfe4O1Djexf2dTSMA2+hf3wLrtRT8J3yG1R/Rr+uD5zzz7YGi88iYQ6b6ky2N5qM\n9bucHt+RLmYkaZw4UjvsMX5PyG+2WF4SYnlpmH0Bi29keFiS5eXsVDfuHgjjgoDFc4U6zxaGyPar\nXJ/j45tZ3m6nMYsV9jVb/HJPgJdLwtRcmCrFcE+xar8g8OEVqAl5+Gc/iepPj7ZJEkmX+LzeZMln\nDcxL9fC74+PxHaF6T9gW/LU4xMN7g/hUuGdiHJdlevr98VsLe5stVpSHeb2kkU/qbFRhMc9bwCXe\n7Vzg/oJ4u9ERt2bwIJHb9q6DFYy864AKmt95LOvyI4wGvJOux3vCD1ofU0YDIQTra0we3RdkdaXB\nFdlebsnzMynBRUXI5q4dzXxYbfD4tAQuHH30aoSS2ESEGzBL38EoWol54A0UXxru7IW4Ms7Gbtrn\niMmK9WDU40o7PdKLOgdX6syohhIcihPysNsJeahcj1W+HjtYipZ2Gq70iN2pp6K4E7rcpt1cRGjn\n7zD2vIA29iK8U7+HK/n4PrXbDpajf3onZuVH+E/9A+7sC/q0/Y5oNgV/LtZ5bJ9O0BKcnuIUkTg5\nSeOkka4up//qDfsDFi9HhPHuZot/zXBijOenufEc4Vxu2IIV5WGeKtDZWOuE0F2X4+OEEYOjF7gr\nFAQscuM1KYZ7g7BChLb+mPDeP+Gf/QTusRdF2ySJpFOEEDxXGOLeL5v53fHxfDu76xdXWwjeKDf4\n1Z4AB3Sbuyb4uWasr8e9tJ1h2o4ofL2kgRWlzdQZFudZ73NeeBXzUz2YiVNYEZrCq8GJfKSnc1Z8\nNZclVbIwqZkRHjeKy+9UZNIi7672714U9eCTuB0oQd/yI8ziVXinP+A8KlUH7kSvW4K/HQjx2L4g\nTabgtjw/V431dpgK6J2KMDdta+LkJI3fH59Api+6Ax2FbWLs/RPh3U8jrFAftqzgSp7mPE7OnI8a\nl9mHbQ88VsNep/e3eCVm5cdo6aejZUfyxCbmdfgbO1DSGltrVWzAqt+JK3l6m9BMn9OrFFvdQQiB\nCNVgN3wdsWkDVuUGcPlbQx609DmoSSf0yVgaEaoltOsJwl8+hmvUDLxT78Y1+oxe9ZQLYWPsfhZ9\ny49wT7wa37QHUNzxvbb1SOwPWPxhn87zRTpzUtwszfMxL8pP1wAKAxavlIZZVhLiqyaLiyI9xgtS\n3XgjHSN7my2eKdB5oUhnYryL63N8LM7y9rrscawiY4b7CLP8QwLrrkbLnId/1m+6lINPMjwQQmA3\n5mOVf4CWcSZq4vio2NFsCm7e1sSmepNlMxM5NrHngm9DjcHDe4JsqDG4Jc9Jbt6bhOk1YZtVZc28\nXljO27U+ckUR54beYOGIKmZm5eHJWoCacuJh8Xy1YZt/loVZVhrig2qTs1PdLM70cHGGp9MUOp1h\n1Wwl+OldiGAZvpkPo425oF8vWsWRUIinC3RmJmnclufnvHT3UVMkBS3BQ7sCPFWg8+CUOK7P8fV5\nWqWjIYTALHwFfcv9KL50vCf8oE+FmbBNrOrPMEvXYJWtRYnLigjjBWijz0Tx9CxGfqAQtoFVsaE1\nU4AI1UYGSi1Cy1rQo+uDMJqxqjY64rhyA2bFR6j+9NbwA1f6HNQRk7u1zwphI0LVneecDZZgB0qp\nCzaz3vsv7PedTPKIDEYl5TIqdQopiekkuxWS3QqJmtLnx4uwdIy9LxHa8WsUTwre4+9GG/uv3Rbc\nVt1Ogh/dCLaBf/YTuFKm96md7RFCsLba4NF8nQ+qDa4Z5+PmXB/jY3Qw8oGgxculzuC77Y0WC0d7\nKNVtPm8wuSLSC9yba8VgQYrhPkQYjQQ/vQOrdC3+uS+gjZ4bbZMkUcIOlmOWvotZtgazZA3YYVyp\np2JVrsc/54UBeTTXni8bTZZ81siMkRqPT0vos7jTrxpNHtkb5JXSMN/J9nLnBD+5XUikLoRgZ4PB\n6/sLWFEWYltoJHONdVzo+YoLM3yMGzsbV9psFJe3y7bUGTavl4VZXhrmvSqDfxmlsSTTy8UZni4N\nPGmxyyxegf7Z3ajxOfhmPYIr+YQu29CV9jdEQiHeqTT4TraXWyOhEN1lR4PJ9Z83IYAnpycM2GNL\ns2Q1+ub7EMLCd/JDaFnn9etNg7AtrJrNmKWrMUvfxar8BFfyCWiZ89Ey5+NKO61b+0l/YevVmCVv\nYhatxCx5CyUhD/fYhWjZi5wsAn08MEvYFnbdjnbieD0YjZHQCidGV9HiD65IFiiJiNyWamTlKO5E\np4RvaxWyTMK+MWwUk3k3NI73GkeyvVnjtGQ3xyW6aDAFtYag1rCpDbdN6zYkRYRxslttFcnJbpVk\nj0KSppDsOXh+qkch23/0HLnCtjCL/kFo+38jwnV4p96Fe8IVRw0bEZZOaNtDhL9+Eu+JP8Ez6YZ+\nywIVMAV/Lnae8FgClo738Z1s36CKpy3RLf5RGibJrXJJpueI4XNDDSmG+wGj8B8EP74Jz4Sr8J74\nUxSXjO8b6gijCbP8g9YLtt1UgJZxZuSCvaB1MIxZ/iGB9y/HM/lGvNPu6/MLZEf8tVjnP7c381/H\nxvMf47z9IlxKdIvf5zsDvs5P93D3RD8nHpL9QDdt3isuYEVhGW/UJ2NZIc5TNrIwOci8cXkkZp2B\n4knqE3saDJsV5WGWlYR5t8pgTorG4iwv38jwtKbSORLCNpyco9t+jjb2Inwn/axXA2x0S/C/B0I8\nui9IQyQU4upOQiG6gy0EzxSE+NFXzXx3nI/7J8X1edhKC2blJ+ibf4gIFOE98UHcuUsGZP89FGEG\nnUf1pWucnuOGr9HSTneOtawFqMnTBsQuIQR23U7M4hUYxSuxaj9HyzjbSZM15kLU+DH9bsOhHBpa\nIewwalwWij8jInYjotef2TpfcXmxhWBrvcWaqjCrKw021Jgcl+hifpqbBaluTk9xH1UYhW1BXUQY\nO+8iIpbtiGA+XEBXhgV1hs2UBBfHJWocl+jiuAQXUxM18uLVw/LlCiGwyj8gtP1hrJoteI69De/k\nGzs8b5ilawh+dBNqynT8p/weNS6rT//rFvYHLB7fp/NcjIVCSLqHFMP9hB2sIPjR9ZEUbH/q80EA\ngx1hBhCWjuJJHpQnDWEbWJWftPVW1WzBlTqrrbdq1MxO407t5gME3l+C4htN3NwX++2Rr24Jbt/e\nzLtVYZbNHDEgqbnqDZsn9wf4fb7O1ATB0jFBSqrzWVkpWBvK4zixm/PjS7koK5Hpuafiiu+fC1R7\nGk2bleUGy0tCvFNpcFqyxpKIMD5acRERrkPf9hDGnufxHHs73ql3omhxXV73gXahECcnaSztYigE\ntCTkX4l54E0U/2jcOYvRMs/usBJVmW5zx44mNtaa/HFaAuem990NuFW7A33L/VjVn+Gbfr+TPUd1\nY9qCj2tNVpSH2VxvMj/VzeIs72FZSfobO1SDVba2VRyLUE0kpMIJq+hqWJKwTUS4FhGqRYTrnOnW\nz+1eIec7uzEfEJEiCYvQMs7qtEhDrCGEYG+z3Sp+36s2SPWoLEh1syDNzVmp7j7JZtAVGgybL5ss\ndjY6rx2NJjsbLSrCNpPiHZE8NdHlCOVEFxPiXGiqglX7hZOBongF7glX4z3udtT4bGy9Ev2zuzHL\n1uI/9bF+GcfTEgrxWL7OBzUGV0UGu8ZqKITk6Egx3I8IITD2PI++6V68J3wfz3F3RKUnJVawmwra\nqu2UrwNFBSvU+mjO6a1o32uR2dqboXhHRVU0C2Fj125vveCaFR+iJh7TLo5xbrdEkrBC6Btvxyxb\nS9zZr+BKOrZP7d3bbLHkswYmxrt4ZnpCl3ogbb0aI//PCKOhLfuCGXQGRnWYpSF4SBYHJ2sDCEKu\nkSzzLOY59+XkeoIsTLVYOP4Y0kdNinpqtlUVzsCRtyoMTknSOCfNTaKm4HMp+F0KPpXIu4LfBT5V\nwRMsQtn5X7hrPiZp2r0kTvgmblfHFz4hBB/VmjyaH+TtSoNvZ3u5Nc/H5IQj34wI23JiQiM9jSJQ\ngjbmArQx5yOCJRj7l2M37kEbezHu3CVoGfMOe+q0qjzMLV80MTvZzW+mxjO6FwPs7Kb96Ft/gnng\nTbzH341n8s3U2V7eqjRYURbmzcow4/wqi0Z7OGmkxjuVBq+UhsjyqSzO9LIky8sxPQj/6C12c1Hb\ncVq6xhnklTkPNT7nMEHbXvBiBVE8I50bdE8yiifJefcmtc3zJrdNx40ZVOnPynWbd6uMVgEctmFB\nmpv5qW7mp7nJ9seWkGsyBV81mRGBbLEzIpJLdJtj4lvEscYUdy0Ty14kp+D3+DPPwix/H/f4b+M7\n8afdymTRFQKm4C8HQjyaP3hDISQdI8XwAGA35hNYdzUoLuLmvoCakBNtkwYE5+L+SbuLe+lh1XaE\nGcAOlDoDNQ4awBGJa4vEuQmzGcU/GtUfEclxGU6cW1wmij+LT60cHiwexW3ZFueNsumLrF/CDGBV\nfIhZsgaz7F0Ud2Jr2IMr4+xu56ZtNgUelYPyO4Z3P4e+6V78s5/EnXNJ740GXi0NccPnTTwwOY5b\ncn1HvVgL2yK8+2lCW3+MlnW+k9+zXeqxg987y9Lgc77X/KBog0IgBCLCeH2NQdCCoC3QLYFuO4PU\ndFsQtJweduc70M0wQdMgiAdVUfGpqiOYXQp+VcHnAt0Cm66FQohwPWbJ25Ee4FUo/ozWnkZX6qmH\nxTfaTYUYBS9jFLyM3fAVWvbFuHMvQ8tc0Bo3GzAFP90V4PlCnYeOjee747zdGmBnB8sJbXsIY99f\ncU++hf05d7Kyxh3pAbY4a5SbRaM9XDj6cAFlCcG6apNlJSFeLg2R7lVZkuVlcaaHKVEYhNMaylC2\nBhEsbxO57UVtZBp3Yr92VthCUB0WlOg2pSGbUt12piOfK0I2LoXITZizL7VOt7tB87kOv1lz9j8O\nuqHzqgpfNlmsqXTEb2HQ5sxUJ+xhfpqbYxNcg+I4PZSAKfiqKSKOm9p6k4uCNnlaPVl+L8lxIw6K\nV+40jtmtdKl0cUHA4vH9Os8V6sxOdrN0vC/qOdclfYsUwwOEU6jj14S2P4Jv5sO4J1w5JA8kEa7D\nKHnbGURyYBVKXFa7i/spPR68ICwdESxzBn0ES9sEdEQ0NwerWW7M4gnX5QTwc4P1dy63X2cEzT3f\nGNWNlnoaWpYT+tCTaoMtuWOfLtB5rSyMKQRTE7WDSmpOCW/B/GAJnvHfxnvigz3+j8K24N6dzbxa\nFub/ZiQyK/nwx+mHYlZ8RPCTW1G0BPynPoYrZVqP1j2cEMLG2Pe/NG7+EUbKqSeZUeIAAA19SURB\nVIhpP8OIy20V0QKYNsLVqQC1GvY4N4hFK7CqP0VLnxtJs7WwWzfKdnMxRuErTo9x3Q607EW4cy5D\nG3MuisvHtnqT67c14VacAXbHHUWMinA9oe0P07TrWT4Zcy9vJ/47K6tchGxYNNrDRRkezk51dzm1\nkhUZLNiS9D/ZrbQK46lDKEepJQSVIUFpqJ24bRG67URvecgmUVPI9Klk+VQyvWrbtE8l3aMiiNyA\nRW6+Wm7QggfdpLXdrOnWITdu9sHL5sWpLEjzsCDVzcwkbcByg0eDoCXY3WRRHrLb4pMjscp1HcQr\n1xqCBlMQ73IEclJ7wexpm95cb7K2yuDqsTIUYigjxfAAY9V87hTqGHEM/tlPDFieyP7Eqt/VNoik\n+jO09DPaXdzHDagtQgjW1Zg81q5wwa15/gF/XFsdtnmpKMTTBTqWgOtzvFw51offpbC1XdnNTfUm\n+QGLY+ME05rXcJKrkFNnfJfpo1K6NZK3MGDxrU2NpHoUXjwp8aiDxOxgOfqmezFL3sE3879x510+\nJG/O+hNhBgl9+TvCO36De8IV+Kbd32EpWSfN1nqMokiaLaOhLc1W5oI+yXVqB0owCl7BKHgZq/Zz\n3GMuxJ27GCXzXJ4qVvjx1wFuzPXxw2PiDtuvhBmgeMczrNi9g7cTvsV79gkcm+j0/i4a7WHaiN73\nINrCiS9eVhJieUmYRE1hcZaT2/T4xMHRQ9kSZ7u+xmB9rcGWeueRfUXIJtl9uMjN9KlktZvO8KrD\nanT+YMAWjiBuEcl1hw72MwTj/KoMhRgGSDEcBYSlo2+5HyP/r87j8bGLom1StxBWGKtiXVsOTaO5\nNYWQljGv3xOZd5X2JW1nJWksHe/nnLSuDV7qCS2DKp4uCPFGeZiLMjxcl+PjjJQjhw0ETMHnDSaf\n1Yb5NP9jtgTi2OuawOQEd2td+hlJGtNGaB32yq0qD3PN1kbumuDnrgn+I26fsA3CX/2B0LZfOInn\np98vc2L3EjtYTmjrjzEKX8V7wn14Jt+EMBowD7yJWbwSo+QtXIkTnRvEsYtQU07q38fxwTKMglcx\nCpZjVW/GPeYCKsdczvdq5vJ5o+CP0xKYl+pma12If3z5CSsrLHarE1mQ6uKi7FFcMNpD+lEGFvbK\nPiHYWGuyPJL036cqLMnysDjLy/Q+EN59RdgWbKk3WV9jOgK4xkBTFOakaMxJcTMrSSPbrzLaqx6x\ngpdEIol9pBiOImbZ+06hjqxzIoU6+jbYvy+x9UrMA6swi1ZilL6Da8SktgpKKSfGzAWsI4KRCl+P\n5gcJWnDbeB9XjfX2WQnMipDNC4U6zxTqeFWF63J8fCfb26UUXh0Rzv8btRvvYc/xf2Rb/PzWGvZf\nN1tMjHNq17eEWKwoD/NSUYi/zUhk7qgjh0WYZWsJfrIU1Z+B79RHcY2c0iP7JB1j1W5H33QPVvUm\nhBVCy5jn3CSOuTBqFdTsYAVG4auYBS9jVm1kddpd3Gleg24rxJuVXKht4+LJJ3HW+OOjIuiEEHxa\nZ7K8xCmcoimwONPLZVkeTkjUWqthDQS1YZsNtW3Cd1OdycR4F3NS3K0CeJxfjelznUQi6RlSDEcZ\nEW4guPF2FH8a/hm/irY5ndK08jSUuOxI/O8Fvcq5Gi1aQigezQ+ypsrgyrFebs31M7EHIRS2EKyu\nNHi6QGd1lcElkV7g05L7ZvCYVbONwNrL0LIX4pv5MIrqJmQJvmh0hPHmeotNdSZZPpVnTkw4Yk+e\n3VyM/tk9mJUb8M/6Ndq4S+UFvR+x6r9CTcg9akGAgcbWqzALX6Nu/+uUWT6OnX4D7qx50TarFSEE\nm+stlpeEeLUsTH6zRaKmtMbUHhZn2y4EobslYoUQ5AciIQ+Rnt/CoM2sJI05KRpzU9yclqz1Og+0\nRCIZHEgxHCMI2+w0L20sIIQYUgKqMOCEUDxbqHNKslMKtyshFCW6xfOFIZ4t1BmpKVyf4+Pfs73d\nLv3bFUSolsCH30GYAeLO/Duqf3T3fm+FCe/8LaEdjzhFPk74QbfSv0kk0cQWgqqw6HAwWksGhhLd\npixkE+dSyPS2DUZrP90inGsMm3XtQh5cisLcSI/vnBQ300e4hvQAM4lE0jlSDEuGNS0hFL/PDxKy\n4bY8H1ceEkJhCcFbFQZPFTi15pdkebkux8uMkf2fQkzYFqHPf0J470vEnbkMLe2ULv3OOPAW+sb/\nRB0xCd+s3+AaMbFf7ZRIooUQghpDHJzJIXR4VodETTko5CFHhjxIJJIIUgxLJDgX1A8jIRTvRUIo\nvpXl5c2KMM8Vhcj0qlyX4+PfxnijMqrYKHyN4Ec34DvpITyTru10ObtpP8GNd2LXfYFv1m8H3eBM\niUQikUgGGimGJZJDaAmheKU0zDlpbq7L8Q1IKeOjYdV/TeC9S3Glz8F/6mOtRRYgkuZrx8OEv3wM\nz3G34516V8zFrEokEolEEotIMSyRDCKE0Uhg3TWIwAHizlqGEjcGs+h1gp/egWvUDPwzHxnw3M4S\niUQikQxmpBiWSAYZQghC239F+MvHcCUdjx0own/Ko2hZC6JtmkQikUgkgw4phiWSQYpZugarfhee\nY76L4vJE2xyJRCKRSAYlUgxLJBKJRCKRSIYtnYlhmWlcIpFIJBKJRDJs6VcxrCjKRYqi/EVRlJcU\nRbmxP9cl6TvWrl0bbRMkhyB9EptIv8Qe0iexh/RJbCL90ka/iWFFURKBG4UQ3xZCXAmcrijKMf21\nPknfIQ+Q2EP6JDaRfok9pE9iD+mT2ET6pY3+7Bk+HVjd7vM/gLP7cX0SiUQikUgkEkm36E8xnALU\ntPtcAyT34/okEolEIpFIJJJu0W/ZJBRFOReYKoT4beTzZUCyEOKZdsvIVBISiUQikUgkkgFhQFOr\nKYqSBPxZCLEo8vlF4OdCiN39skKJRCKRSCQSiaSbaP3VsBCiTlGUPyuK8ncgDGyVQlgikUgkEolE\nEktEteiGZHigKEqGEKIs2nZIJAON3PdjE+mX2EP6JDYZLn7pkhhWFOUPOIPtsoG/CyH+oijKRcC/\nARawQQjxRGRZFXgQmCGEuCAybzJwOyAABZgNfFcIsekI7TwGuIHRwBYhxIOdtR+ZnwH8ELCBROC+\noezAGPPJYba0s3M8sAp4VwhxU3/+J7FAjPmlW8fQUCUaPon87rB9/wjrHVbnL4g5v3R2XenwGBqq\nDBKf/AI4FigG9gkhftNvf0iMEGN+6fB6ryjKZuDjyE9NIcTSfvtD+gMhRJdfgAvYjHOyXtlu/kvA\nMZHpi4AZwNudtKECr0WmO23nkN88f7T2gReBxO5sz1B4xYJPDrWl3WcNeBOYDzwV7f9quPrl0PlH\nW+9QfQ2kTzra94+y/LA8f8WCXyLzFx3tmOjs2BqKr1j1CXAO8MN2n+8Cjo/2/zWc/HKoLe0+D+rr\nSXdjhv1AFZ3nEN4thHgdnPrPnXBZZHmO1E7LDEVRUoA0oBygo/YVRZkFHAAeiPSwvCeEeK6b2zZY\nibpPOrClhZ8CvwX2dHlrhg4x45euHEPDhIH0SUf7fkfLz4sMNh6u5y+Ivl8QQqw4UvtHOOcNVWLV\nJ81AqqIoinAUmA+nl3N7t7Zu8BJ1v3RgSwsuRVF+BWQCy4UQ/+zaJsUG3c0z/AvgAXqXQ/gq4M+R\n6U7bURRlgqIoK4CdOFkoGo7QZi4wBfiBEOIKYKaiKHO6aM9gJ5Z80mILiqLMAxqEEG9Fvhtuyivq\nfunmMTQcGBCfHLLvK7Tt+x0tn8TwPn9BdPwCXTgnDeNjKCZ9IoTYAGwBnlQU5RnABOK6aM9QIJb8\n0nq9BxBCzBdCfB/4D+AaRVEmdNGemKDLYlhRlO8BHwghPgaqcf7EFlIi847WxjzgIyGEEZnVaTtC\niL3CScuWDdyhKEr6EZoOAO8IIczI59dxHhMMaWLJJ4fYAnAukKsoyuPAQzjluG/swWYOOmLFL908\nhoY0A+yTc2jb939O275f1cnyzQzD8xdE1S9dOicNx2NoEPjkJSHE9UKIa4EgUNC1LRvcxJJfOrje\ntxI5j70DHNeNzYs+XYmlAG4Grm33OQlY0e7zixweP/pOB+28AqR0p53I/OVAdmftAxnAsnaffwyc\nNdAxJwP5iiWfHGpLB8vmMExihmPJL0eb39F6h+Irmj5pv+93tnzk/LW83fwhf/6KJb8crf1233V4\nbA2l12DyCc7j+PWAP9r/23Dyy6G2dGLvn4Bx0f7fuvM6asywoiinAvcAbyiK8kec0Yj3A0fLIRw+\npJ1pQJEQorVLXnSSi1hRlJOA7wNNOHFa/yuEKO6sfSFEmaIoqxRFeQkwgHwhxNqjbdtgJZZ80pkt\nQoj2d6kWzuOsIU2M+aVbx9BQJRo+OaSd1n3/SMsrivLGcDl/QWz5pbP2u3gMDRkGiU9U4MnIxxHA\nzUKIYDc3dVARS3450vVeUZS/AI04YSuvCCEK+2L7BwqZZ1gikUgkEolEMmzp7gA6iUQikUgkEolk\nyCDFsEQikUgkEolk2CLFsEQikUgkEolk2CLFsEQikUgkEolk2CLFsEQikUgkEolk2CLFsEQikUgk\nEolk2CLFsEQikUgkEolk2CLFsEQikUgkEolk2PL/3zT9wtMEqI8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e0ead90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "npc.plot_important()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 가장 최근 여론조사 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FBTRr1oyXX36ZWbNmsWbNGsaMGcNBBx2U033JlO6T2qZfv37Mnj07Ov6nNHBV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\nERGJrf8HTbVXPxDw25cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e373250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "npc.plot_latest()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 원하는 날짜의 여론조사 중 하나(최근 공표시점) 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XmNnrxU/cfRVwoZmdV+3RSa0XvQNnfn5+yd2UdWdlEUlFpXfmNbPngIeA54CGQF/gFHe/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\n6/8DYd6jFF2WplkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e65a6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "npc.plot_date(\"20170403\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지역별 지지율"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{강원/제주: {1: 45.9,\n",
      "                 10: 7.3,\n",
      "                 13: 2.4,\n",
      "                 14: 4.9,\n",
      "                 24: 0.0,\n",
      "                 3: 21.1,\n",
      "                 5: 15.9,\n",
      "                 6: 2.4},\n",
      " 광주/전라: {1: 53.6,\n",
      "                 10: 0.8,\n",
      "                 13: 0.0,\n",
      "                 14: 2.0,\n",
      "                 24: 8.4,\n",
      "                 27: 0.0,\n",
      "                 3: 31.8,\n",
      "                 5: 2.7,\n",
      "                 6: 0.8},\n",
      " 대구/경북: {1: 28.8,\n",
      "                 10: 22.1,\n",
      "                 13: 1.0,\n",
      "                 14: 5.9,\n",
      "                 24: 11.2,\n",
      "                 27: 0.0,\n",
      "                 3: 23.5,\n",
      "                 5: 2.3,\n",
      "                 6: 5.1},\n",
      " 대전/세종/충청: {1: 46.0,\n",
      "                        10: 7.0,\n",
      "                        14: 8.0,\n",
      "                        24: 7.0,\n",
      "                        27: 0.0,\n",
      "                        3: 29.0,\n",
      "                        5: 3.0,\n",
      "                        6: 0.0},\n",
      " 대전/충청: {1: 33.3,\n",
      "                 10: 9.5,\n",
      "                 13: 2.0,\n",
      "                 14: 8.7,\n",
      "                 24: 6.7,\n",
      "                 3: 35.8,\n",
      "                 5: 2.6,\n",
      "                 6: 1.4},\n",
      " 부산/울산/경남: {1: 39.3,\n",
      "                        10: 15.1,\n",
      "                        13: 0.6,\n",
      "                        14: 8.9,\n",
      "                        24: 6.3,\n",
      "                        27: 0.0,\n",
      "                        3: 22.7,\n",
      "                        5: 3.9,\n",
      "                        6: 3.2},\n",
      " 서울: {1: 42.8,\n",
      "          10: 9.4,\n",
      "          13: 1.4,\n",
      "          14: 4.4,\n",
      "          24: 5.9,\n",
      "          27: 1.0,\n",
      "          3: 32.6,\n",
      "          5: 2.0,\n",
      "          6: 1.5},\n",
      " 인천/경기: {1: 39.3,\n",
      "                 10: 7.8,\n",
      "                 13: 1.1,\n",
      "                 14: 4.0,\n",
      "                 24: 3.8,\n",
      "                 27: 0.0,\n",
      "                 3: 33.4,\n",
      "                 5: 7.7,\n",
      "                 6: 3.0}}\n"
     ]
    }
   ],
   "source": [
    "pprint(dict(npc.region_dict.values()[-2]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# 지지층 분석"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**변수로 사용한 조사자료**\n",
    "\n",
    "\n",
    "`relative_dict`:\n",
    "- [5] 문재인 후보 지지자 일자리 정책 의견 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [40] 유승민 후보 지지자 일자리 정책 의견 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [47] 안철수 후보 지지자 일자리 정책 의견 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [56] 심상정 후보 지지자 일자리 정책 의견 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [97] 홍준표 후보 지지자 일자리 정책 의견 | 조선일보·칸타퍼블릭2017.4.16\n",
    "\n",
    "\n",
    "- [10] 안철수 후보 지지자 사드 배치 찬반 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [15] 심상정 후보 지지자 사드 배치 찬반 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [54] 홍준표 후보 지지자 사드 배치 찬반 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [71] 유승민 후보 지지자 사드 배치 찬반 | 조선일보·칸타퍼블릭2017.4.16\n",
    "- [75] 문재인 후보 지지자 사드 배치 찬반 | 조선일보·칸타퍼블릭2017.4.16\n",
    "\n",
    "\n",
    "- [0] 세대별 '호감이 간다' 응답 비율-안철수 | 한국갤럽2017.4.7\n",
    "- [15] 세대별 '호감이 간다' 응답 비율-문재인 | 한국갤럽2017.4.7\n",
    "- [77] 세대별 '호감이 간다' 응답 비율-홍준표 | 한국갤럽2017.4.7\n",
    "- [81] 세대별 '호감이 간다' 응답 비율-심상정 | 한국갤럽2017.4.7\n",
    "- [3] 세대별 '호감이 간다' 응답 비율-유승민 | 한국갤럽2017.4.7\n",
    "\n",
    "`barchart_dict`:\n",
    "- [43] 지지 후보 결정에 중요한 기준은? - 안철수 지지자 | 서울신문·YTN·엠브레인2017.4.18\n",
    "- [90] 지지 후보 결정에 중요한 기준은? - 문재인 지지자 | 서울신문·YTN·엠브레인2017.4.18\n",
    "- [110] 지지 후보 결정에 중요한 기준은? - 홍준표 지지자 | 서울신문·YTN·엠브레인2017.4.18"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 문재인"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{민간주도: 46.7, 정부주도: 46.6}\n",
      "{반대: 50.8, 찬성: 40.1}\n",
      "{20대: 60.0,\n",
      " 30대: 68.0,\n",
      " 40대: 56.0,\n",
      " 50대: 38.0,\n",
      " 60대 이상: 25.0}\n",
      "{능력과 정치 경험: 28.2,\n",
      " 도덕성과 청렴성: 33.3,\n",
      " 이념과 정책: 28.2}\n"
     ]
    }
   ],
   "source": [
    "pprint(npc.relative_dict.values()[5])\n",
    "pprint(npc.relative_dict.values()[75])\n",
    "pprint(npc.barchart_dict.values()[15])\n",
    "pprint(npc.barchart_dict.values()[90])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 홍준표"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{민간주도: 76.4, 정부주도: 17.7}\n",
      "{반대: 1.7, 찬성: 97.2}\n",
      "{20대: 5.0,\n",
      " 30대: 6.0,\n",
      " 40대: 5.0,\n",
      " 50대: 18.0,\n",
      " 60대 이상: 33.0}\n",
      "{능력과 정치 경험: 33.3,\n",
      " 도덕성과 청렴성: 14.0,\n",
      " 이념과 정책: 30.9}\n"
     ]
    }
   ],
   "source": [
    "pprint(npc.relative_dict.values()[97])\n",
    "pprint(npc.relative_dict.values()[54])\n",
    "pprint(npc.barchart_dict.values()[77])\n",
    "pprint(npc.barchart_dict.values()[110])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 안철수"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{민간주도: 72.4, 정부주도: 17.0}\n",
      "{반대: 19.5, 찬성: 76.3}\n",
      "{20대: 49.0,\n",
      " 30대: 50.0,\n",
      " 40대: 51.0,\n",
      " 50대: 68.0,\n",
      " 60대 이상: 68.0}\n",
      "{능력과 정치 경험: 17.7,\n",
      " 도덕성과 청렴성: 36.6,\n",
      " 이념과 정책: 29.5}\n"
     ]
    }
   ],
   "source": [
    "pprint(npc.relative_dict.values()[47])\n",
    "pprint(npc.relative_dict.values()[10])\n",
    "pprint(npc.barchart_dict.values()[0])\n",
    "pprint(npc.barchart_dict.values()[43])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. 유승민"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{민간주도: 62.9, 정부주도: 24.4}\n",
      "{반대: 9.4, 찬성: 83.2}\n",
      "{20대: 26.0,\n",
      " 30대: 30.0,\n",
      " 40대: 31.0,\n",
      " 50대: 34.0,\n",
      " 60대 이상: 27.0}\n"
     ]
    }
   ],
   "source": [
    "pprint(npc.relative_dict.values()[40])\n",
    "pprint(npc.relative_dict.values()[71])\n",
    "pprint(npc.barchart_dict.values()[3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. 심상정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{민간주도: 32.5, 정부주도: 40.6}\n",
      "{반대: 59.9, 찬성: 24.1}\n",
      "{20대: 36.0,\n",
      " 30대: 46.0,\n",
      " 40대: 44.0,\n",
      " 50대: 33.0,\n",
      " 60대 이상: 13.0}\n"
     ]
    }
   ],
   "source": [
    "pprint(npc.relative_dict.values()[56])\n",
    "pprint(npc.relative_dict.values()[15])\n",
    "pprint(npc.barchart_dict.values()[81])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>문재인</th>\n",
       "      <th>심상정</th>\n",
       "      <th>안철수</th>\n",
       "      <th>유승민</th>\n",
       "      <th>홍준표</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>일자리</th>\n",
       "      <td>46.7</td>\n",
       "      <td>32.5</td>\n",
       "      <td>72.4</td>\n",
       "      <td>62.9</td>\n",
       "      <td>76.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>사드배치</th>\n",
       "      <td>50.8</td>\n",
       "      <td>59.9</td>\n",
       "      <td>19.5</td>\n",
       "      <td>9.4</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>능력/정치경험</th>\n",
       "      <td>28.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>도덕성/청렴성</th>\n",
       "      <td>33.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20대호감도</th>\n",
       "      <td>60.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30대호감도</th>\n",
       "      <td>68.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40대호감도</th>\n",
       "      <td>56.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50대호감도</th>\n",
       "      <td>38.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60대+호감도</th>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>강원/제주</th>\n",
       "      <td>45.9</td>\n",
       "      <td>15.9</td>\n",
       "      <td>21.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>광주/전라</th>\n",
       "      <td>53.6</td>\n",
       "      <td>2.7</td>\n",
       "      <td>31.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대구/경북</th>\n",
       "      <td>28.8</td>\n",
       "      <td>2.3</td>\n",
       "      <td>23.5</td>\n",
       "      <td>5.1</td>\n",
       "      <td>22.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대전/세종/충청</th>\n",
       "      <td>46.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>대전/충청</th>\n",
       "      <td>33.3</td>\n",
       "      <td>2.6</td>\n",
       "      <td>35.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>부울경</th>\n",
       "      <td>39.3</td>\n",
       "      <td>3.9</td>\n",
       "      <td>22.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>15.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>서울</th>\n",
       "      <td>42.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>32.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>9.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>인천/경기</th>\n",
       "      <td>39.3</td>\n",
       "      <td>7.7</td>\n",
       "      <td>33.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           문재인   심상정   안철수   유승민   홍준표\n",
       "일자리       46.7  32.5  72.4  62.9  76.4\n",
       "사드배치      50.8  59.9  19.5   9.4   1.7\n",
       "능력/정치경험   28.2   NaN  17.7   NaN  33.3\n",
       "도덕성/청렴성   33.3   NaN  36.6   NaN  14.0\n",
       "20대호감도    60.0  36.0  49.0  26.0   5.0\n",
       "30대호감도    68.0  46.0  50.0  30.0   6.0\n",
       "40대호감도    56.0  44.0  51.0  31.0   5.0\n",
       "50대호감도    38.0  33.0  68.0  34.0  18.0\n",
       "60대+호감도   25.0  13.0  68.0  27.0  33.0\n",
       "강원/제주     45.9  15.9  21.1   2.4   7.3\n",
       "광주/전라     53.6   2.7  31.8   0.8   0.8\n",
       "대구/경북     28.8   2.3  23.5   5.1  22.1\n",
       "대전/세종/충청  46.0   3.0  29.0   0.0   7.0\n",
       "대전/충청     33.3   2.6  35.8   1.4   9.5\n",
       "부울경       39.3   3.9  22.7   3.2  15.1\n",
       "서울        42.8   2.0  32.6   1.5   9.4\n",
       "인천/경기     39.3   7.7  33.4   3.0   7.8"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = {\n",
    "    u\"문재인\": [46.7, 50.8, 28.2, 33.3,\n",
    "              60, 68, 56, 38, \n",
    "              25, 45.9, 53.6,\n",
    "              28.8, 46.0, 33.3, 39.3,\n",
    "              42.8, 39.3],             # 1\n",
    "    u\"홍준표\": [76.4, 1.7, 33.3, 14.0,\n",
    "              5, 6, 5, 18,\n",
    "              33, 7.3, 0.8,\n",
    "              22.1, 7.0, 9.5, 15.1,\n",
    "              9.4, 7.8],               # 10\n",
    "    u\"안철수\": [72.4, 19.5, 17.7, 36.6,\n",
    "              49, 50, 51, 68, \n",
    "              68, 21.1, 31.8,\n",
    "              23.5, 29, 35.8, 22.7,\n",
    "              32.6, 33.4],             # 3\n",
    "    u\"유승민\": [62.9, 9.4, np.nan, np.nan,\n",
    "              26, 30, 31, 34,\n",
    "              27, 2.4, 0.8,\n",
    "              5.1, 0, 1.4, 3.2,\n",
    "              1.5, 3.0],               # 6\n",
    "    u\"심상정\": [32.5, 59.9, np.nan, np.nan,\n",
    "              36, 46, 44, 33, \n",
    "              13, 15.9, 2.7,\n",
    "              2.3, 3, 2.6, 3.9,\n",
    "              2, 7.7]                  # 5\n",
    "}\n",
    "supporters = pd.DataFrame(features, index=[u\"일자리\", u\"사드배치\", u\"능력/정치경험\", u\"도덕성/청렴성\",\n",
    "                                           u\"20대호감도\", u\"30대호감도\", u\"40대호감도\", u\"50대호감도\",\n",
    "                                           u\"60대+호감도\", u\"강원/제주\", u\"광주/전라\",\n",
    "                                           u\"대구/경북\", u\"대전/세종/충청\", u\"대전/충청\", u\"부울경\",\n",
    "                                           u\"서울\", u\"인천/경기\"])\n",
    "supporters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5자 지지층 비교"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지층의 정책 성향"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tNb/8oqf/8Q/lbNqkwWeckeLqtz0ze0zSY+4+O6btCUkPuvuX0ccvSGorqSh2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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eb6f610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cc = [npc.id_dict[i][1] for i in [1, 5, 3, 6, 10]]\n",
    "g = sns.clustermap(supporters.dropna(axis=0).iloc[:2], cmap=mpl.cm.bone, row_cluster=False,\n",
    "                   annot=True, figsize=(12, 7), col_colors=cc, annot_kws={\"fontsize\": 16}, \n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=12, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지 연령층 패턴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iQCWnSxQv237bzZB/PoO/vx/16kZz06DeBFapxIdTiuZQdzqwP5b4A7sKjo0xPay1i72O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\nkRT1/wW/FZiYS8ZVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eb64e90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(supporters.dropna(axis=0).iloc[2:7], cmap=mpl.cm.bone,\n",
    "                   annot=True, figsize=(12, 6), col_colors=cc, annot_kws={\"fontsize\": 16}, \n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=12, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지층의 지역별 패턴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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22RjTGIgAgoBL3WsNJmc5727Oc0oGzhH+/v5ERER4OoxMpSmW07V06TKqVKmJ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\nIiIiIhX1C9NJtViD9BwaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f58ec90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(supporters.dropna(axis=0).iloc[7:], cmap=mpl.cm.bone,\n",
    "                   annot=True, figsize=(12, 7), col_colors=cc, annot_kws={\"fontsize\": 16},\n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=13, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3자 지지층 비교"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지층의 정책 성향"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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l7Jnk6CTnDjj1nlLKq5N8KMkvk/wmneBe0pn3/b0VeS7LInBDD225yUbZcuOn56yLrxz2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\nJHADAEBD/z8FZ/8XIYwwpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c915350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cc2 = [npc.id_dict[i][1] for i in [1, 3, 10]]\n",
    "g = sns.clustermap(supporters.dropna(axis=1).iloc[:2], cmap=mpl.cm.bone, row_cluster=False,\n",
    "                   annot=True, figsize=(12, 7), col_colors=cc2, annot_kws={\"fontsize\": 16}, \n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=12, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지 후보 선택 기준"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Oap8uVbtvVmZu/67dgNSOI/fS0tGDhedztv2Rb/sYuO2xfm1/9HsC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\nCmG4lyRJkgrx/wEqgNaNtX0GbwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eb64d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(supporters.dropna(axis=1).iloc[2:4], cmap=mpl.cm.bone, row_cluster=False,\n",
    "                   annot=True, figsize=(12, 7), col_colors=cc2, annot_kws={\"fontsize\": 16}, \n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=12, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지 연령층 패턴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UUaELkLR2e+21Jz/92c/Yd98+NG3alNmz53DOOefw+GOPF7o0aQ2TJ09m5MiR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\nREQkoRTmRUREREQS6u+rqBmJXTAWpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e888650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(supporters.dropna(axis=1).iloc[4:9], cmap=mpl.cm.bone,\n",
    "                   annot=True, figsize=(12, 7), col_colors=cc2, annot_kws={\"fontsize\": 16}, \n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=12, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 지지층의 지역별 패턴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+bl+ev6IpGRAJwJlnXrBLWVJSIl98MYVvvvkuar8VK9L5979HMX/+Anbu3Emf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\nRETilJIBEREREZE49f+wstidi09wPAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e8d2610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.clustermap(supporters.dropna(axis=1).iloc[9:], cmap=mpl.cm.bone,\n",
    "                   annot=True, figsize=(12, 7), col_colors=cc2, annot_kws={\"fontsize\": 16},\n",
    "                   method=\"ward\", metric=\"cosine\")\n",
    "plt.setp(g.ax_heatmap.yaxis.get_majorticklabels(), fontsize=13, rotation=0)\n",
    "plt.setp(g.ax_heatmap.xaxis.get_majorticklabels(), fontsize=14);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}