相関行列.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 相関行列\n",
    "\n",
    "<a href=\"http://nbviewer.jupyter.org/github/maskot1977/ipython_notebook/blob/master/%E5%AE%9F%E7%BF%92%E7%94%A8%E3%83%86%E3%82%99%E3%83%BC%E3%82%BF2017.ipynb\">「新国民生活指標データ」</a>を例に説明します。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 数値計算やデータフレーム操作に関するライブラリをインポートする\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas.tools import plotting # 高度なプロットを行うツールのインポート"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 「#」（シャープ）以降の文字はプログラムに影響しません。\n",
    "# 図やグラフを図示するためのライブラリをインポートする。\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# URL によるリソースへのアクセスを提供するライブラリをインポートする。\n",
    "# import urllib # Python 2 の場合\n",
    "import urllib.request # Python 3 の場合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('PLIlive_dataJ.txt', <http.client.HTTPMessage at 0x10b7d17b8>)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://raw.githubusercontent.com/maskot1977/ipython_notebook/master/toydata/PLIlive_dataJ.txt'\n",
    "# 指定したURLからリソースをダウンロードし、名前をつける。\n",
    "# urllib.urlretrieve(url, 'PLIlive_dataJ.txt') # Python 2 の場合\n",
    "urllib.request.urlretrieve(url, 'PLIlive_dataJ.txt') # Python 3 の場合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# データの読み込み\n",
    "df = pd.read_csv('PLIlive_dataJ.txt', sep='\\t', index_col=0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>NonRep</th>\n",
       "      <th>OverMin</th>\n",
       "      <th>Rent</th>\n",
       "      <th>HomeOwn</th>\n",
       "      <th>CompPol</th>\n",
       "      <th>NumClime</th>\n",
       "      <th>NumLarc</th>\n",
       "      <th>TrafAcci</th>\n",
       "      <th>Fire</th>\n",
       "      <th>DspRubb</th>\n",
       "      <th>...</th>\n",
       "      <th>Sunshine</th>\n",
       "      <th>NumMat</th>\n",
       "      <th>AreaResi</th>\n",
       "      <th>Transpt</th>\n",
       "      <th>AreaPark</th>\n",
       "      <th>Sewarage</th>\n",
       "      <th>Recycle</th>\n",
       "      <th>AmtRubb</th>\n",
       "      <th>AvgMin</th>\n",
       "      <th>Pavement</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pref</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Hokkaido</th>\n",
       "      <td>7.67</td>\n",
       "      <td>94.3</td>\n",
       "      <td>1510</td>\n",
       "      <td>54.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>206</td>\n",
       "      <td>451.8</td>\n",
       "      <td>77.3</td>\n",
       "      <td>44.78</td>\n",
       "      <td>...</td>\n",
       "      <td>56.16</td>\n",
       "      <td>11.8</td>\n",
       "      <td>306</td>\n",
       "      <td>90.9</td>\n",
       "      <td>25.5</td>\n",
       "      <td>77.86</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1655.0</td>\n",
       "      <td>24</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aomori</th>\n",
       "      <td>7.80</td>\n",
       "      <td>95.9</td>\n",
       "      <td>1480</td>\n",
       "      <td>71.6</td>\n",
       "      <td>32.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>103</td>\n",
       "      <td>558.2</td>\n",
       "      <td>88.1</td>\n",
       "      <td>66.29</td>\n",
       "      <td>...</td>\n",
       "      <td>61.99</td>\n",
       "      <td>12.6</td>\n",
       "      <td>356</td>\n",
       "      <td>87.1</td>\n",
       "      <td>12.9</td>\n",
       "      <td>36.00</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1363.6</td>\n",
       "      <td>23</td>\n",
       "      <td>24.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iwate</th>\n",
       "      <td>6.93</td>\n",
       "      <td>95.0</td>\n",
       "      <td>1643</td>\n",
       "      <td>72.8</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>115</td>\n",
       "      <td>388.9</td>\n",
       "      <td>65.6</td>\n",
       "      <td>79.81</td>\n",
       "      <td>...</td>\n",
       "      <td>72.20</td>\n",
       "      <td>12.4</td>\n",
       "      <td>365</td>\n",
       "      <td>80.2</td>\n",
       "      <td>9.6</td>\n",
       "      <td>35.50</td>\n",
       "      <td>11.3</td>\n",
       "      <td>940.0</td>\n",
       "      <td>24</td>\n",
       "      <td>14.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyagi</th>\n",
       "      <td>7.26</td>\n",
       "      <td>93.9</td>\n",
       "      <td>2257</td>\n",
       "      <td>60.7</td>\n",
       "      <td>34.3</td>\n",
       "      <td>9.1</td>\n",
       "      <td>272</td>\n",
       "      <td>471.1</td>\n",
       "      <td>81.7</td>\n",
       "      <td>83.99</td>\n",
       "      <td>...</td>\n",
       "      <td>67.29</td>\n",
       "      <td>10.8</td>\n",
       "      <td>358</td>\n",
       "      <td>85.1</td>\n",
       "      <td>11.7</td>\n",
       "      <td>40.10</td>\n",
       "      <td>16.2</td>\n",
       "      <td>1102.9</td>\n",
       "      <td>29</td>\n",
       "      <td>26.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akita</th>\n",
       "      <td>5.92</td>\n",
       "      <td>97.1</td>\n",
       "      <td>1554</td>\n",
       "      <td>79.6</td>\n",
       "      <td>23.1</td>\n",
       "      <td>9.1</td>\n",
       "      <td>88</td>\n",
       "      <td>364.3</td>\n",
       "      <td>84.8</td>\n",
       "      <td>70.43</td>\n",
       "      <td>...</td>\n",
       "      <td>63.55</td>\n",
       "      <td>13.3</td>\n",
       "      <td>389</td>\n",
       "      <td>84.9</td>\n",
       "      <td>15.8</td>\n",
       "      <td>31.90</td>\n",
       "      <td>10.4</td>\n",
       "      <td>1203.8</td>\n",
       "      <td>22</td>\n",
       "      <td>15.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamagata</th>\n",
       "      <td>5.75</td>\n",
       "      <td>96.8</td>\n",
       "      <td>1701</td>\n",
       "      <td>79.2</td>\n",
       "      <td>31.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>137</td>\n",
       "      <td>496.6</td>\n",
       "      <td>94.8</td>\n",
       "      <td>81.28</td>\n",
       "      <td>...</td>\n",
       "      <td>74.52</td>\n",
       "      <td>11.7</td>\n",
       "      <td>398</td>\n",
       "      <td>79.7</td>\n",
       "      <td>13.4</td>\n",
       "      <td>44.60</td>\n",
       "      <td>16.5</td>\n",
       "      <td>950.2</td>\n",
       "      <td>23</td>\n",
       "      <td>20.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fukushima</th>\n",
       "      <td>7.11</td>\n",
       "      <td>93.7</td>\n",
       "      <td>1811</td>\n",
       "      <td>68.6</td>\n",
       "      <td>25.1</td>\n",
       "      <td>6.5</td>\n",
       "      <td>232</td>\n",
       "      <td>618.6</td>\n",
       "      <td>94.3</td>\n",
       "      <td>83.07</td>\n",
       "      <td>...</td>\n",
       "      <td>74.51</td>\n",
       "      <td>11.0</td>\n",
       "      <td>374</td>\n",
       "      <td>81.9</td>\n",
       "      <td>9.2</td>\n",
       "      <td>36.90</td>\n",
       "      <td>9.5</td>\n",
       "      <td>1044.0</td>\n",
       "      <td>26</td>\n",
       "      <td>14.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ibaraki</th>\n",
       "      <td>5.36</td>\n",
       "      <td>93.2</td>\n",
       "      <td>2063</td>\n",
       "      <td>70.5</td>\n",
       "      <td>41.8</td>\n",
       "      <td>12.5</td>\n",
       "      <td>245</td>\n",
       "      <td>732.6</td>\n",
       "      <td>95.1</td>\n",
       "      <td>79.28</td>\n",
       "      <td>...</td>\n",
       "      <td>72.37</td>\n",
       "      <td>10.2</td>\n",
       "      <td>433</td>\n",
       "      <td>72.7</td>\n",
       "      <td>7.9</td>\n",
       "      <td>47.60</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1105.5</td>\n",
       "      <td>31</td>\n",
       "      <td>11.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tochigi</th>\n",
       "      <td>5.19</td>\n",
       "      <td>93.0</td>\n",
       "      <td>2123</td>\n",
       "      <td>69.2</td>\n",
       "      <td>58.4</td>\n",
       "      <td>8.5</td>\n",
       "      <td>209</td>\n",
       "      <td>700.2</td>\n",
       "      <td>92.6</td>\n",
       "      <td>82.42</td>\n",
       "      <td>...</td>\n",
       "      <td>73.74</td>\n",
       "      <td>10.3</td>\n",
       "      <td>402</td>\n",
       "      <td>61.9</td>\n",
       "      <td>10.4</td>\n",
       "      <td>43.10</td>\n",
       "      <td>16.2</td>\n",
       "      <td>1055.4</td>\n",
       "      <td>28</td>\n",
       "      <td>20.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gunma</th>\n",
       "      <td>5.99</td>\n",
       "      <td>93.3</td>\n",
       "      <td>1992</td>\n",
       "      <td>70.4</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>275</td>\n",
       "      <td>854.7</td>\n",
       "      <td>80.9</td>\n",
       "      <td>84.11</td>\n",
       "      <td>...</td>\n",
       "      <td>74.30</td>\n",
       "      <td>10.6</td>\n",
       "      <td>363</td>\n",
       "      <td>61.4</td>\n",
       "      <td>10.5</td>\n",
       "      <td>41.10</td>\n",
       "      <td>12.3</td>\n",
       "      <td>1069.0</td>\n",
       "      <td>28</td>\n",
       "      <td>16.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saitama</th>\n",
       "      <td>4.13</td>\n",
       "      <td>90.1</td>\n",
       "      <td>3085</td>\n",
       "      <td>61.9</td>\n",
       "      <td>59.2</td>\n",
       "      <td>15.0</td>\n",
       "      <td>246</td>\n",
       "      <td>596.9</td>\n",
       "      <td>70.7</td>\n",
       "      <td>85.12</td>\n",
       "      <td>...</td>\n",
       "      <td>58.62</td>\n",
       "      <td>9.3</td>\n",
       "      <td>245</td>\n",
       "      <td>75.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>69.60</td>\n",
       "      <td>15.0</td>\n",
       "      <td>938.1</td>\n",
       "      <td>46</td>\n",
       "      <td>15.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chiba</th>\n",
       "      <td>4.40</td>\n",
       "      <td>91.2</td>\n",
       "      <td>2908</td>\n",
       "      <td>61.1</td>\n",
       "      <td>40.7</td>\n",
       "      <td>13.1</td>\n",
       "      <td>342</td>\n",
       "      <td>535.4</td>\n",
       "      <td>70.0</td>\n",
       "      <td>83.33</td>\n",
       "      <td>...</td>\n",
       "      <td>59.61</td>\n",
       "      <td>9.7</td>\n",
       "      <td>278</td>\n",
       "      <td>84.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>60.49</td>\n",
       "      <td>19.4</td>\n",
       "      <td>1012.1</td>\n",
       "      <td>45</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tokyo</th>\n",
       "      <td>6.86</td>\n",
       "      <td>78.8</td>\n",
       "      <td>4379</td>\n",
       "      <td>39.6</td>\n",
       "      <td>55.4</td>\n",
       "      <td>15.7</td>\n",
       "      <td>366</td>\n",
       "      <td>528.6</td>\n",
       "      <td>76.6</td>\n",
       "      <td>82.68</td>\n",
       "      <td>...</td>\n",
       "      <td>44.01</td>\n",
       "      <td>8.7</td>\n",
       "      <td>156</td>\n",
       "      <td>95.4</td>\n",
       "      <td>5.1</td>\n",
       "      <td>95.85</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1249.7</td>\n",
       "      <td>39</td>\n",
       "      <td>58.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kanagawa</th>\n",
       "      <td>4.61</td>\n",
       "      <td>87.8</td>\n",
       "      <td>3507</td>\n",
       "      <td>51.5</td>\n",
       "      <td>43.2</td>\n",
       "      <td>12.6</td>\n",
       "      <td>194</td>\n",
       "      <td>749.8</td>\n",
       "      <td>57.5</td>\n",
       "      <td>92.85</td>\n",
       "      <td>...</td>\n",
       "      <td>55.36</td>\n",
       "      <td>9.0</td>\n",
       "      <td>195</td>\n",
       "      <td>90.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>89.15</td>\n",
       "      <td>10.1</td>\n",
       "      <td>1143.4</td>\n",
       "      <td>47</td>\n",
       "      <td>52.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niigata</th>\n",
       "      <td>5.40</td>\n",
       "      <td>95.7</td>\n",
       "      <td>1847</td>\n",
       "      <td>76.9</td>\n",
       "      <td>28.9</td>\n",
       "      <td>9.8</td>\n",
       "      <td>164</td>\n",
       "      <td>542.9</td>\n",
       "      <td>78.9</td>\n",
       "      <td>80.93</td>\n",
       "      <td>...</td>\n",
       "      <td>60.99</td>\n",
       "      <td>12.5</td>\n",
       "      <td>348</td>\n",
       "      <td>84.5</td>\n",
       "      <td>7.4</td>\n",
       "      <td>39.60</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1228.6</td>\n",
       "      <td>25</td>\n",
       "      <td>19.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toyama</th>\n",
       "      <td>4.15</td>\n",
       "      <td>96.7</td>\n",
       "      <td>1874</td>\n",
       "      <td>79.8</td>\n",
       "      <td>17.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>281</td>\n",
       "      <td>688.2</td>\n",
       "      <td>62.4</td>\n",
       "      <td>85.53</td>\n",
       "      <td>...</td>\n",
       "      <td>68.90</td>\n",
       "      <td>13.9</td>\n",
       "      <td>401</td>\n",
       "      <td>80.5</td>\n",
       "      <td>11.9</td>\n",
       "      <td>51.50</td>\n",
       "      <td>13.9</td>\n",
       "      <td>972.8</td>\n",
       "      <td>28</td>\n",
       "      <td>34.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ishikawa</th>\n",
       "      <td>3.85</td>\n",
       "      <td>95.6</td>\n",
       "      <td>2041</td>\n",
       "      <td>69.9</td>\n",
       "      <td>28.3</td>\n",
       "      <td>9.3</td>\n",
       "      <td>190</td>\n",
       "      <td>736.9</td>\n",
       "      <td>56.9</td>\n",
       "      <td>55.78</td>\n",
       "      <td>...</td>\n",
       "      <td>55.26</td>\n",
       "      <td>13.2</td>\n",
       "      <td>293</td>\n",
       "      <td>84.0</td>\n",
       "      <td>10.2</td>\n",
       "      <td>51.60</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1434.9</td>\n",
       "      <td>26</td>\n",
       "      <td>23.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fukui</th>\n",
       "      <td>4.61</td>\n",
       "      <td>95.7</td>\n",
       "      <td>1640</td>\n",
       "      <td>76.5</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>184</td>\n",
       "      <td>555.4</td>\n",
       "      <td>64.6</td>\n",
       "      <td>81.53</td>\n",
       "      <td>...</td>\n",
       "      <td>63.05</td>\n",
       "      <td>12.1</td>\n",
       "      <td>328</td>\n",
       "      <td>82.5</td>\n",
       "      <td>12.8</td>\n",
       "      <td>54.00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1005.6</td>\n",
       "      <td>25</td>\n",
       "      <td>25.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamanashi</th>\n",
       "      <td>3.82</td>\n",
       "      <td>93.7</td>\n",
       "      <td>2123</td>\n",
       "      <td>69.6</td>\n",
       "      <td>37.2</td>\n",
       "      <td>12.4</td>\n",
       "      <td>188</td>\n",
       "      <td>729.4</td>\n",
       "      <td>79.1</td>\n",
       "      <td>85.20</td>\n",
       "      <td>...</td>\n",
       "      <td>76.25</td>\n",
       "      <td>11.4</td>\n",
       "      <td>340</td>\n",
       "      <td>77.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>36.00</td>\n",
       "      <td>12.2</td>\n",
       "      <td>1005.1</td>\n",
       "      <td>25</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nagano</th>\n",
       "      <td>6.42</td>\n",
       "      <td>95.7</td>\n",
       "      <td>1881</td>\n",
       "      <td>72.9</td>\n",
       "      <td>49.4</td>\n",
       "      <td>8.5</td>\n",
       "      <td>145</td>\n",
       "      <td>606.0</td>\n",
       "      <td>82.9</td>\n",
       "      <td>76.39</td>\n",
       "      <td>...</td>\n",
       "      <td>74.38</td>\n",
       "      <td>12.5</td>\n",
       "      <td>352</td>\n",
       "      <td>77.1</td>\n",
       "      <td>8.4</td>\n",
       "      <td>50.00</td>\n",
       "      <td>17.0</td>\n",
       "      <td>963.3</td>\n",
       "      <td>27</td>\n",
       "      <td>12.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gifu</th>\n",
       "      <td>5.13</td>\n",
       "      <td>95.4</td>\n",
       "      <td>1761</td>\n",
       "      <td>73.9</td>\n",
       "      <td>46.7</td>\n",
       "      <td>5.5</td>\n",
       "      <td>225</td>\n",
       "      <td>591.0</td>\n",
       "      <td>84.4</td>\n",
       "      <td>79.65</td>\n",
       "      <td>...</td>\n",
       "      <td>70.72</td>\n",
       "      <td>12.3</td>\n",
       "      <td>293</td>\n",
       "      <td>77.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>47.20</td>\n",
       "      <td>15.3</td>\n",
       "      <td>1028.3</td>\n",
       "      <td>29</td>\n",
       "      <td>18.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shizuoka</th>\n",
       "      <td>4.15</td>\n",
       "      <td>92.6</td>\n",
       "      <td>2155</td>\n",
       "      <td>65.9</td>\n",
       "      <td>32.6</td>\n",
       "      <td>11.5</td>\n",
       "      <td>155</td>\n",
       "      <td>814.0</td>\n",
       "      <td>81.7</td>\n",
       "      <td>85.85</td>\n",
       "      <td>...</td>\n",
       "      <td>65.51</td>\n",
       "      <td>10.4</td>\n",
       "      <td>269</td>\n",
       "      <td>84.5</td>\n",
       "      <td>5.3</td>\n",
       "      <td>42.50</td>\n",
       "      <td>13.3</td>\n",
       "      <td>1038.7</td>\n",
       "      <td>28</td>\n",
       "      <td>24.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aichi</th>\n",
       "      <td>3.90</td>\n",
       "      <td>91.4</td>\n",
       "      <td>2125</td>\n",
       "      <td>57.8</td>\n",
       "      <td>60.5</td>\n",
       "      <td>6.2</td>\n",
       "      <td>279</td>\n",
       "      <td>648.6</td>\n",
       "      <td>78.7</td>\n",
       "      <td>83.23</td>\n",
       "      <td>...</td>\n",
       "      <td>61.23</td>\n",
       "      <td>10.8</td>\n",
       "      <td>275</td>\n",
       "      <td>80.1</td>\n",
       "      <td>7.3</td>\n",
       "      <td>59.30</td>\n",
       "      <td>11.6</td>\n",
       "      <td>1068.3</td>\n",
       "      <td>32</td>\n",
       "      <td>31.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mie</th>\n",
       "      <td>4.31</td>\n",
       "      <td>96.0</td>\n",
       "      <td>1620</td>\n",
       "      <td>77.8</td>\n",
       "      <td>46.5</td>\n",
       "      <td>6.5</td>\n",
       "      <td>161</td>\n",
       "      <td>558.6</td>\n",
       "      <td>80.9</td>\n",
       "      <td>67.79</td>\n",
       "      <td>...</td>\n",
       "      <td>66.61</td>\n",
       "      <td>12.0</td>\n",
       "      <td>297</td>\n",
       "      <td>77.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>32.10</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1235.5</td>\n",
       "      <td>30</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shiga</th>\n",
       "      <td>4.89</td>\n",
       "      <td>95.9</td>\n",
       "      <td>1677</td>\n",
       "      <td>76.5</td>\n",
       "      <td>53.2</td>\n",
       "      <td>8.4</td>\n",
       "      <td>211</td>\n",
       "      <td>609.7</td>\n",
       "      <td>81.4</td>\n",
       "      <td>76.57</td>\n",
       "      <td>...</td>\n",
       "      <td>63.08</td>\n",
       "      <td>12.0</td>\n",
       "      <td>296</td>\n",
       "      <td>77.6</td>\n",
       "      <td>10.6</td>\n",
       "      <td>61.30</td>\n",
       "      <td>12.6</td>\n",
       "      <td>1034.5</td>\n",
       "      <td>33</td>\n",
       "      <td>26.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kyoto</th>\n",
       "      <td>4.68</td>\n",
       "      <td>88.8</td>\n",
       "      <td>2659</td>\n",
       "      <td>58.1</td>\n",
       "      <td>51.5</td>\n",
       "      <td>12.1</td>\n",
       "      <td>224</td>\n",
       "      <td>674.6</td>\n",
       "      <td>46.5</td>\n",
       "      <td>84.55</td>\n",
       "      <td>...</td>\n",
       "      <td>50.95</td>\n",
       "      <td>10.2</td>\n",
       "      <td>188</td>\n",
       "      <td>91.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>76.99</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1250.5</td>\n",
       "      <td>33</td>\n",
       "      <td>32.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Osaka</th>\n",
       "      <td>5.13</td>\n",
       "      <td>85.2</td>\n",
       "      <td>2750</td>\n",
       "      <td>47.9</td>\n",
       "      <td>48.2</td>\n",
       "      <td>9.6</td>\n",
       "      <td>386</td>\n",
       "      <td>627.2</td>\n",
       "      <td>73.3</td>\n",
       "      <td>91.16</td>\n",
       "      <td>...</td>\n",
       "      <td>45.91</td>\n",
       "      <td>8.9</td>\n",
       "      <td>159</td>\n",
       "      <td>90.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>79.31</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1413.6</td>\n",
       "      <td>41</td>\n",
       "      <td>72.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hyogo</th>\n",
       "      <td>4.36</td>\n",
       "      <td>90.8</td>\n",
       "      <td>2514</td>\n",
       "      <td>59.8</td>\n",
       "      <td>46.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>206</td>\n",
       "      <td>670.0</td>\n",
       "      <td>71.8</td>\n",
       "      <td>51.59</td>\n",
       "      <td>...</td>\n",
       "      <td>55.91</td>\n",
       "      <td>10.2</td>\n",
       "      <td>220</td>\n",
       "      <td>87.4</td>\n",
       "      <td>9.2</td>\n",
       "      <td>79.95</td>\n",
       "      <td>7.6</td>\n",
       "      <td>2466.5</td>\n",
       "      <td>36</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nara</th>\n",
       "      <td>5.18</td>\n",
       "      <td>93.5</td>\n",
       "      <td>2043</td>\n",
       "      <td>70.0</td>\n",
       "      <td>47.9</td>\n",
       "      <td>6.5</td>\n",
       "      <td>171</td>\n",
       "      <td>537.0</td>\n",
       "      <td>73.3</td>\n",
       "      <td>85.53</td>\n",
       "      <td>...</td>\n",
       "      <td>62.63</td>\n",
       "      <td>11.2</td>\n",
       "      <td>253</td>\n",
       "      <td>81.7</td>\n",
       "      <td>10.0</td>\n",
       "      <td>56.00</td>\n",
       "      <td>16.4</td>\n",
       "      <td>995.9</td>\n",
       "      <td>41</td>\n",
       "      <td>28.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wakayama</th>\n",
       "      <td>6.55</td>\n",
       "      <td>93.0</td>\n",
       "      <td>1673</td>\n",
       "      <td>72.8</td>\n",
       "      <td>32.9</td>\n",
       "      <td>7.5</td>\n",
       "      <td>175</td>\n",
       "      <td>735.7</td>\n",
       "      <td>73.9</td>\n",
       "      <td>79.70</td>\n",
       "      <td>...</td>\n",
       "      <td>64.57</td>\n",
       "      <td>10.7</td>\n",
       "      <td>219</td>\n",
       "      <td>76.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>17.70</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1135.5</td>\n",
       "      <td>26</td>\n",
       "      <td>49.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tottori</th>\n",
       "      <td>3.73</td>\n",
       "      <td>94.3</td>\n",
       "      <td>1730</td>\n",
       "      <td>73.8</td>\n",
       "      <td>21.8</td>\n",
       "      <td>11.7</td>\n",
       "      <td>256</td>\n",
       "      <td>450.3</td>\n",
       "      <td>88.5</td>\n",
       "      <td>83.83</td>\n",
       "      <td>...</td>\n",
       "      <td>62.03</td>\n",
       "      <td>11.6</td>\n",
       "      <td>329</td>\n",
       "      <td>85.4</td>\n",
       "      <td>10.1</td>\n",
       "      <td>39.50</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1121.9</td>\n",
       "      <td>25</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shimane</th>\n",
       "      <td>5.35</td>\n",
       "      <td>95.2</td>\n",
       "      <td>1489</td>\n",
       "      <td>76.2</td>\n",
       "      <td>23.6</td>\n",
       "      <td>7.9</td>\n",
       "      <td>151</td>\n",
       "      <td>371.1</td>\n",
       "      <td>86.5</td>\n",
       "      <td>69.92</td>\n",
       "      <td>...</td>\n",
       "      <td>64.80</td>\n",
       "      <td>11.5</td>\n",
       "      <td>300</td>\n",
       "      <td>74.7</td>\n",
       "      <td>13.6</td>\n",
       "      <td>28.50</td>\n",
       "      <td>10.5</td>\n",
       "      <td>972.8</td>\n",
       "      <td>21</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Okayama</th>\n",
       "      <td>4.57</td>\n",
       "      <td>93.1</td>\n",
       "      <td>1822</td>\n",
       "      <td>66.7</td>\n",
       "      <td>39.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>187</td>\n",
       "      <td>628.7</td>\n",
       "      <td>85.2</td>\n",
       "      <td>79.91</td>\n",
       "      <td>...</td>\n",
       "      <td>68.75</td>\n",
       "      <td>11.3</td>\n",
       "      <td>273</td>\n",
       "      <td>76.5</td>\n",
       "      <td>9.5</td>\n",
       "      <td>47.30</td>\n",
       "      <td>11.6</td>\n",
       "      <td>1056.3</td>\n",
       "      <td>27</td>\n",
       "      <td>16.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hiroshima</th>\n",
       "      <td>4.94</td>\n",
       "      <td>94.3</td>\n",
       "      <td>2047</td>\n",
       "      <td>60.4</td>\n",
       "      <td>35.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>228</td>\n",
       "      <td>633.5</td>\n",
       "      <td>78.8</td>\n",
       "      <td>76.10</td>\n",
       "      <td>...</td>\n",
       "      <td>62.11</td>\n",
       "      <td>11.3</td>\n",
       "      <td>227</td>\n",
       "      <td>83.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>57.51</td>\n",
       "      <td>10.9</td>\n",
       "      <td>992.8</td>\n",
       "      <td>28</td>\n",
       "      <td>29.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamaguchi</th>\n",
       "      <td>4.83</td>\n",
       "      <td>94.9</td>\n",
       "      <td>1562</td>\n",
       "      <td>66.4</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7.7</td>\n",
       "      <td>154</td>\n",
       "      <td>605.9</td>\n",
       "      <td>69.1</td>\n",
       "      <td>75.99</td>\n",
       "      <td>...</td>\n",
       "      <td>68.79</td>\n",
       "      <td>11.4</td>\n",
       "      <td>282</td>\n",
       "      <td>77.2</td>\n",
       "      <td>9.0</td>\n",
       "      <td>50.50</td>\n",
       "      <td>7.6</td>\n",
       "      <td>1163.4</td>\n",
       "      <td>24</td>\n",
       "      <td>26.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tokushima</th>\n",
       "      <td>7.39</td>\n",
       "      <td>94.3</td>\n",
       "      <td>1642</td>\n",
       "      <td>70.1</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>116</td>\n",
       "      <td>720.2</td>\n",
       "      <td>84.2</td>\n",
       "      <td>77.56</td>\n",
       "      <td>...</td>\n",
       "      <td>69.28</td>\n",
       "      <td>11.4</td>\n",
       "      <td>299</td>\n",
       "      <td>82.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>18.60</td>\n",
       "      <td>10.6</td>\n",
       "      <td>1001.5</td>\n",
       "      <td>25</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kagawa</th>\n",
       "      <td>4.92</td>\n",
       "      <td>95.3</td>\n",
       "      <td>1786</td>\n",
       "      <td>70.5</td>\n",
       "      <td>36.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>186</td>\n",
       "      <td>669.6</td>\n",
       "      <td>81.2</td>\n",
       "      <td>73.83</td>\n",
       "      <td>...</td>\n",
       "      <td>67.69</td>\n",
       "      <td>11.9</td>\n",
       "      <td>290</td>\n",
       "      <td>75.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>34.00</td>\n",
       "      <td>8.7</td>\n",
       "      <td>1036.2</td>\n",
       "      <td>25</td>\n",
       "      <td>24.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ehime</th>\n",
       "      <td>6.04</td>\n",
       "      <td>95.1</td>\n",
       "      <td>1639</td>\n",
       "      <td>66.7</td>\n",
       "      <td>55.9</td>\n",
       "      <td>10.3</td>\n",
       "      <td>223</td>\n",
       "      <td>707.4</td>\n",
       "      <td>73.5</td>\n",
       "      <td>79.26</td>\n",
       "      <td>...</td>\n",
       "      <td>67.39</td>\n",
       "      <td>11.2</td>\n",
       "      <td>237</td>\n",
       "      <td>77.6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>36.80</td>\n",
       "      <td>7.6</td>\n",
       "      <td>1073.1</td>\n",
       "      <td>21</td>\n",
       "      <td>18.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kochi</th>\n",
       "      <td>6.58</td>\n",
       "      <td>91.9</td>\n",
       "      <td>1684</td>\n",
       "      <td>67.3</td>\n",
       "      <td>50.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>173</td>\n",
       "      <td>676.0</td>\n",
       "      <td>76.4</td>\n",
       "      <td>77.46</td>\n",
       "      <td>...</td>\n",
       "      <td>68.24</td>\n",
       "      <td>10.7</td>\n",
       "      <td>192</td>\n",
       "      <td>85.1</td>\n",
       "      <td>13.1</td>\n",
       "      <td>24.70</td>\n",
       "      <td>7.9</td>\n",
       "      <td>991.8</td>\n",
       "      <td>24</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fukuoka</th>\n",
       "      <td>4.77</td>\n",
       "      <td>91.3</td>\n",
       "      <td>1908</td>\n",
       "      <td>53.4</td>\n",
       "      <td>37.3</td>\n",
       "      <td>10.0</td>\n",
       "      <td>322</td>\n",
       "      <td>918.9</td>\n",
       "      <td>74.1</td>\n",
       "      <td>84.66</td>\n",
       "      <td>...</td>\n",
       "      <td>59.98</td>\n",
       "      <td>10.1</td>\n",
       "      <td>288</td>\n",
       "      <td>83.5</td>\n",
       "      <td>7.9</td>\n",
       "      <td>67.09</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1135.3</td>\n",
       "      <td>31</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saga</th>\n",
       "      <td>5.25</td>\n",
       "      <td>95.2</td>\n",
       "      <td>1544</td>\n",
       "      <td>72.4</td>\n",
       "      <td>50.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>148</td>\n",
       "      <td>599.0</td>\n",
       "      <td>97.1</td>\n",
       "      <td>80.82</td>\n",
       "      <td>...</td>\n",
       "      <td>74.51</td>\n",
       "      <td>10.5</td>\n",
       "      <td>326</td>\n",
       "      <td>74.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>29.60</td>\n",
       "      <td>11.7</td>\n",
       "      <td>947.0</td>\n",
       "      <td>23</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nagasaki</th>\n",
       "      <td>5.04</td>\n",
       "      <td>91.8</td>\n",
       "      <td>1684</td>\n",
       "      <td>64.9</td>\n",
       "      <td>28.4</td>\n",
       "      <td>7.9</td>\n",
       "      <td>109</td>\n",
       "      <td>472.5</td>\n",
       "      <td>79.0</td>\n",
       "      <td>75.60</td>\n",
       "      <td>...</td>\n",
       "      <td>64.72</td>\n",
       "      <td>9.9</td>\n",
       "      <td>246</td>\n",
       "      <td>84.4</td>\n",
       "      <td>12.1</td>\n",
       "      <td>45.60</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1168.5</td>\n",
       "      <td>28</td>\n",
       "      <td>34.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kumamoto</th>\n",
       "      <td>6.23</td>\n",
       "      <td>92.6</td>\n",
       "      <td>1754</td>\n",
       "      <td>66.4</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>152</td>\n",
       "      <td>612.0</td>\n",
       "      <td>80.1</td>\n",
       "      <td>82.49</td>\n",
       "      <td>...</td>\n",
       "      <td>70.04</td>\n",
       "      <td>10.2</td>\n",
       "      <td>335</td>\n",
       "      <td>80.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>44.50</td>\n",
       "      <td>8.9</td>\n",
       "      <td>927.4</td>\n",
       "      <td>23</td>\n",
       "      <td>23.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oita</th>\n",
       "      <td>4.77</td>\n",
       "      <td>95.0</td>\n",
       "      <td>1599</td>\n",
       "      <td>64.5</td>\n",
       "      <td>57.9</td>\n",
       "      <td>6.8</td>\n",
       "      <td>128</td>\n",
       "      <td>551.9</td>\n",
       "      <td>72.3</td>\n",
       "      <td>69.59</td>\n",
       "      <td>...</td>\n",
       "      <td>70.88</td>\n",
       "      <td>11.1</td>\n",
       "      <td>293</td>\n",
       "      <td>82.9</td>\n",
       "      <td>7.8</td>\n",
       "      <td>38.80</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1262.5</td>\n",
       "      <td>25</td>\n",
       "      <td>31.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyazaki</th>\n",
       "      <td>2.64</td>\n",
       "      <td>93.9</td>\n",
       "      <td>1587</td>\n",
       "      <td>68.9</td>\n",
       "      <td>50.6</td>\n",
       "      <td>8.3</td>\n",
       "      <td>209</td>\n",
       "      <td>360.2</td>\n",
       "      <td>82.3</td>\n",
       "      <td>66.98</td>\n",
       "      <td>...</td>\n",
       "      <td>78.52</td>\n",
       "      <td>10.0</td>\n",
       "      <td>323</td>\n",
       "      <td>76.8</td>\n",
       "      <td>14.1</td>\n",
       "      <td>38.50</td>\n",
       "      <td>11.8</td>\n",
       "      <td>1151.2</td>\n",
       "      <td>21</td>\n",
       "      <td>19.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kagoshima</th>\n",
       "      <td>4.17</td>\n",
       "      <td>94.1</td>\n",
       "      <td>1673</td>\n",
       "      <td>69.3</td>\n",
       "      <td>30.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>145</td>\n",
       "      <td>641.7</td>\n",
       "      <td>75.1</td>\n",
       "      <td>63.87</td>\n",
       "      <td>...</td>\n",
       "      <td>69.89</td>\n",
       "      <td>10.1</td>\n",
       "      <td>295</td>\n",
       "      <td>83.2</td>\n",
       "      <td>9.3</td>\n",
       "      <td>39.00</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1178.6</td>\n",
       "      <td>21</td>\n",
       "      <td>16.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Okinawa</th>\n",
       "      <td>8.23</td>\n",
       "      <td>86.3</td>\n",
       "      <td>1889</td>\n",
       "      <td>55.9</td>\n",
       "      <td>24.4</td>\n",
       "      <td>10.6</td>\n",
       "      <td>380</td>\n",
       "      <td>241.5</td>\n",
       "      <td>58.4</td>\n",
       "      <td>68.99</td>\n",
       "      <td>...</td>\n",
       "      <td>58.37</td>\n",
       "      <td>8.4</td>\n",
       "      <td>282</td>\n",
       "      <td>78.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>52.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1040.6</td>\n",
       "      <td>24</td>\n",
       "      <td>40.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>47 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           NonRep  OverMin  Rent  HomeOwn  CompPol  NumClime  NumLarc  \\\n",
       "Pref                                                                    \n",
       "Hokkaido     7.67     94.3  1510     54.0     15.0       7.6      206   \n",
       "Aomori       7.80     95.9  1480     71.6     32.8       4.5      103   \n",
       "Iwate        6.93     95.0  1643     72.8     22.0       6.3      115   \n",
       "Miyagi       7.26     93.9  2257     60.7     34.3       9.1      272   \n",
       "Akita        5.92     97.1  1554     79.6     23.1       9.1       88   \n",
       "Yamagata     5.75     96.8  1701     79.2     31.0       5.6      137   \n",
       "Fukushima    7.11     93.7  1811     68.6     25.1       6.5      232   \n",
       "Ibaraki      5.36     93.2  2063     70.5     41.8      12.5      245   \n",
       "Tochigi      5.19     93.0  2123     69.2     58.4       8.5      209   \n",
       "Gunma        5.99     93.3  1992     70.4     51.0       6.7      275   \n",
       "Saitama      4.13     90.1  3085     61.9     59.2      15.0      246   \n",
       "Chiba        4.40     91.2  2908     61.1     40.7      13.1      342   \n",
       "Tokyo        6.86     78.8  4379     39.6     55.4      15.7      366   \n",
       "Kanagawa     4.61     87.8  3507     51.5     43.2      12.6      194   \n",
       "Niigata      5.40     95.7  1847     76.9     28.9       9.8      164   \n",
       "Toyama       4.15     96.7  1874     79.8     17.0       6.2      281   \n",
       "Ishikawa     3.85     95.6  2041     69.9     28.3       9.3      190   \n",
       "Fukui        4.61     95.7  1640     76.5     31.0       6.0      184   \n",
       "Yamanashi    3.82     93.7  2123     69.6     37.2      12.4      188   \n",
       "Nagano       6.42     95.7  1881     72.9     49.4       8.5      145   \n",
       "Gifu         5.13     95.4  1761     73.9     46.7       5.5      225   \n",
       "Shizuoka     4.15     92.6  2155     65.9     32.6      11.5      155   \n",
       "Aichi        3.90     91.4  2125     57.8     60.5       6.2      279   \n",
       "Mie          4.31     96.0  1620     77.8     46.5       6.5      161   \n",
       "Shiga        4.89     95.9  1677     76.5     53.2       8.4      211   \n",
       "Kyoto        4.68     88.8  2659     58.1     51.5      12.1      224   \n",
       "Osaka        5.13     85.2  2750     47.9     48.2       9.6      386   \n",
       "Hyogo        4.36     90.8  2514     59.8     46.0       6.1      206   \n",
       "Nara         5.18     93.5  2043     70.0     47.9       6.5      171   \n",
       "Wakayama     6.55     93.0  1673     72.8     32.9       7.5      175   \n",
       "Tottori      3.73     94.3  1730     73.8     21.8      11.7      256   \n",
       "Shimane      5.35     95.2  1489     76.2     23.6       7.9      151   \n",
       "Okayama      4.57     93.1  1822     66.7     39.1       5.1      187   \n",
       "Hiroshima    4.94     94.3  2047     60.4     35.0       8.3      228   \n",
       "Yamaguchi    4.83     94.9  1562     66.4     33.0       7.7      154   \n",
       "Tokushima    7.39     94.3  1642     70.1     43.0       5.9      116   \n",
       "Kagawa       4.92     95.3  1786     70.5     36.1       7.8      186   \n",
       "Ehime        6.04     95.1  1639     66.7     55.9      10.3      223   \n",
       "Kochi        6.58     91.9  1684     67.3     50.5       8.0      173   \n",
       "Fukuoka      4.77     91.3  1908     53.4     37.3      10.0      322   \n",
       "Saga         5.25     95.2  1544     72.4     50.6       8.2      148   \n",
       "Nagasaki     5.04     91.8  1684     64.9     28.4       7.9      109   \n",
       "Kumamoto     6.23     92.6  1754     66.4     23.0       7.6      152   \n",
       "Oita         4.77     95.0  1599     64.5     57.9       6.8      128   \n",
       "Miyazaki     2.64     93.9  1587     68.9     50.6       8.3      209   \n",
       "Kagoshima    4.17     94.1  1673     69.3     30.1       7.8      145   \n",
       "Okinawa      8.23     86.3  1889     55.9     24.4      10.6      380   \n",
       "\n",
       "           TrafAcci  Fire  DspRubb    ...     Sunshine  NumMat  AreaResi  \\\n",
       "Pref                                  ...                                  \n",
       "Hokkaido      451.8  77.3    44.78    ...        56.16    11.8       306   \n",
       "Aomori        558.2  88.1    66.29    ...        61.99    12.6       356   \n",
       "Iwate         388.9  65.6    79.81    ...        72.20    12.4       365   \n",
       "Miyagi        471.1  81.7    83.99    ...        67.29    10.8       358   \n",
       "Akita         364.3  84.8    70.43    ...        63.55    13.3       389   \n",
       "Yamagata      496.6  94.8    81.28    ...        74.52    11.7       398   \n",
       "Fukushima     618.6  94.3    83.07    ...        74.51    11.0       374   \n",
       "Ibaraki       732.6  95.1    79.28    ...        72.37    10.2       433   \n",
       "Tochigi       700.2  92.6    82.42    ...        73.74    10.3       402   \n",
       "Gunma         854.7  80.9    84.11    ...        74.30    10.6       363   \n",
       "Saitama       596.9  70.7    85.12    ...        58.62     9.3       245   \n",
       "Chiba         535.4  70.0    83.33    ...        59.61     9.7       278   \n",
       "Tokyo         528.6  76.6    82.68    ...        44.01     8.7       156   \n",
       "Kanagawa      749.8  57.5    92.85    ...        55.36     9.0       195   \n",
       "Niigata       542.9  78.9    80.93    ...        60.99    12.5       348   \n",
       "Toyama        688.2  62.4    85.53    ...        68.90    13.9       401   \n",
       "Ishikawa      736.9  56.9    55.78    ...        55.26    13.2       293   \n",
       "Fukui         555.4  64.6    81.53    ...        63.05    12.1       328   \n",
       "Yamanashi     729.4  79.1    85.20    ...        76.25    11.4       340   \n",
       "Nagano        606.0  82.9    76.39    ...        74.38    12.5       352   \n",
       "Gifu          591.0  84.4    79.65    ...        70.72    12.3       293   \n",
       "Shizuoka      814.0  81.7    85.85    ...        65.51    10.4       269   \n",
       "Aichi         648.6  78.7    83.23    ...        61.23    10.8       275   \n",
       "Mie           558.6  80.9    67.79    ...        66.61    12.0       297   \n",
       "Shiga         609.7  81.4    76.57    ...        63.08    12.0       296   \n",
       "Kyoto         674.6  46.5    84.55    ...        50.95    10.2       188   \n",
       "Osaka         627.2  73.3    91.16    ...        45.91     8.9       159   \n",
       "Hyogo         670.0  71.8    51.59    ...        55.91    10.2       220   \n",
       "Nara          537.0  73.3    85.53    ...        62.63    11.2       253   \n",
       "Wakayama      735.7  73.9    79.70    ...        64.57    10.7       219   \n",
       "Tottori       450.3  88.5    83.83    ...        62.03    11.6       329   \n",
       "Shimane       371.1  86.5    69.92    ...        64.80    11.5       300   \n",
       "Okayama       628.7  85.2    79.91    ...        68.75    11.3       273   \n",
       "Hiroshima     633.5  78.8    76.10    ...        62.11    11.3       227   \n",
       "Yamaguchi     605.9  69.1    75.99    ...        68.79    11.4       282   \n",
       "Tokushima     720.2  84.2    77.56    ...        69.28    11.4       299   \n",
       "Kagawa        669.6  81.2    73.83    ...        67.69    11.9       290   \n",
       "Ehime         707.4  73.5    79.26    ...        67.39    11.2       237   \n",
       "Kochi         676.0  76.4    77.46    ...        68.24    10.7       192   \n",
       "Fukuoka       918.9  74.1    84.66    ...        59.98    10.1       288   \n",
       "Saga          599.0  97.1    80.82    ...        74.51    10.5       326   \n",
       "Nagasaki      472.5  79.0    75.60    ...        64.72     9.9       246   \n",
       "Kumamoto      612.0  80.1    82.49    ...        70.04    10.2       335   \n",
       "Oita          551.9  72.3    69.59    ...        70.88    11.1       293   \n",
       "Miyazaki      360.2  82.3    66.98    ...        78.52    10.0       323   \n",
       "Kagoshima     641.7  75.1    63.87    ...        69.89    10.1       295   \n",
       "Okinawa       241.5  58.4    68.99    ...        58.37     8.4       282   \n",
       "\n",
       "           Transpt  AreaPark  Sewarage  Recycle  AmtRubb  AvgMin  Pavement  \n",
       "Pref                                                                        \n",
       "Hokkaido      90.9      25.5     77.86      4.9   1655.0      24      19.9  \n",
       "Aomori        87.1      12.9     36.00      3.2   1363.6      23      24.9  \n",
       "Iwate         80.2       9.6     35.50     11.3    940.0      24      14.4  \n",
       "Miyagi        85.1      11.7     40.10     16.2   1102.9      29      26.6  \n",
       "Akita         84.9      15.8     31.90     10.4   1203.8      22      15.7  \n",
       "Yamagata      79.7      13.4     44.60     16.5    950.2      23      20.7  \n",
       "Fukushima     81.9       9.2     36.90      9.5   1044.0      26      14.7  \n",
       "Ibaraki       72.7       7.9     47.60     12.6   1105.5      31      11.4  \n",
       "Tochigi       61.9      10.4     43.10     16.2   1055.4      28      20.8  \n",
       "Gunma         61.4      10.5     41.10     12.3   1069.0      28      16.8  \n",
       "Saitama       75.4       5.2     69.60     15.0    938.1      46      15.7  \n",
       "Chiba         84.0       5.9     60.49     19.4   1012.1      45      22.5  \n",
       "Tokyo         95.4       5.1     95.85      7.9   1249.7      39      58.9  \n",
       "Kanagawa      90.5       4.4     89.15     10.1   1143.4      47      52.7  \n",
       "Niigata       84.5       7.4     39.60      6.9   1228.6      25      19.2  \n",
       "Toyama        80.5      11.9     51.50     13.9    972.8      28      34.6  \n",
       "Ishikawa      84.0      10.2     51.60      6.8   1434.9      26      23.5  \n",
       "Fukui         82.5      12.8     54.00     14.0   1005.6      25      25.9  \n",
       "Yamanashi     77.0       7.4     36.00     12.2   1005.1      25      27.0  \n",
       "Nagano        77.1       8.4     50.00     17.0    963.3      27      12.9  \n",
       "Gifu          77.2       6.8     47.20     15.3   1028.3      29      18.2  \n",
       "Shizuoka      84.5       5.3     42.50     13.3   1038.7      28      24.2  \n",
       "Aichi         80.1       7.3     59.30     11.6   1068.3      32      31.1  \n",
       "Mie           77.1       6.7     32.10     10.0   1235.5      30      19.0  \n",
       "Shiga         77.6      10.6     61.30     12.6   1034.5      33      26.2  \n",
       "Kyoto         91.0       5.0     76.99      3.9   1250.5      33      32.5  \n",
       "Osaka         90.8       4.8     79.31      5.6   1413.6      41      72.1  \n",
       "Hyogo         87.4       9.2     79.95      7.6   2466.5      36      33.0  \n",
       "Nara          81.7      10.0     56.00     16.4    995.9      41      28.4  \n",
       "Wakayama      76.6       4.5     17.70      8.5   1135.5      26      49.6  \n",
       "Tottori       85.4      10.1     39.50      6.4   1121.9      25      31.0  \n",
       "Shimane       74.7      13.6     28.50     10.5    972.8      21      16.5  \n",
       "Okayama       76.5       9.5     47.30     11.6   1056.3      27      16.6  \n",
       "Hiroshima     83.0       8.6     57.51     10.9    992.8      28      29.8  \n",
       "Yamaguchi     77.2       9.0     50.50      7.6   1163.4      24      26.8  \n",
       "Tokushima     82.0       5.9     18.60     10.6   1001.5      25      19.7  \n",
       "Kagawa        75.0       8.4     34.00      8.7   1036.2      25      24.6  \n",
       "Ehime         77.6       9.0     36.80      7.6   1073.1      21      18.8  \n",
       "Kochi         85.1      13.1     24.70      7.9    991.8      24      19.7  \n",
       "Fukuoka       83.5       7.9     67.09      8.5   1135.3      31      15.0  \n",
       "Saga          74.4       7.4     29.60     11.7    947.0      23      25.0  \n",
       "Nagasaki      84.4      12.1     45.60      7.1   1168.5      28      34.3  \n",
       "Kumamoto      80.2       6.8     44.50      8.9    927.4      23      23.1  \n",
       "Oita          82.9       7.8     38.80      7.9   1262.5      25      31.8  \n",
       "Miyazaki      76.8      14.1     38.50     11.8   1151.2      21      19.6  \n",
       "Kagoshima     83.2       9.3     39.00      3.1   1178.6      21      16.1  \n",
       "Okinawa       78.5       7.1     52.00      5.0   1040.6      24      40.7  \n",
       "\n",
       "[47 rows x 23 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Pref</th>\n",
       "      <th>Hokkaido</th>\n",
       "      <th>Aomori</th>\n",
       "      <th>Iwate</th>\n",
       "      <th>Miyagi</th>\n",
       "      <th>Akita</th>\n",
       "      <th>Yamagata</th>\n",
       "      <th>Fukushima</th>\n",
       "      <th>Ibaraki</th>\n",
       "      <th>Tochigi</th>\n",
       "      <th>Gunma</th>\n",
       "      <th>...</th>\n",
       "      <th>Ehime</th>\n",
       "      <th>Kochi</th>\n",
       "      <th>Fukuoka</th>\n",
       "      <th>Saga</th>\n",
       "      <th>Nagasaki</th>\n",
       "      <th>Kumamoto</th>\n",
       "      <th>Oita</th>\n",
       "      <th>Miyazaki</th>\n",
       "      <th>Kagoshima</th>\n",
       "      <th>Okinawa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NonRep</th>\n",
       "      <td>7.67</td>\n",
       "      <td>7.80</td>\n",
       "      <td>6.93</td>\n",
       "      <td>7.26</td>\n",
       "      <td>5.92</td>\n",
       "      <td>5.75</td>\n",
       "      <td>7.11</td>\n",
       "      <td>5.36</td>\n",
       "      <td>5.19</td>\n",
       "      <td>5.99</td>\n",
       "      <td>...</td>\n",
       "      <td>6.04</td>\n",
       "      <td>6.58</td>\n",
       "      <td>4.77</td>\n",
       "      <td>5.25</td>\n",
       "      <td>5.04</td>\n",
       "      <td>6.23</td>\n",
       "      <td>4.77</td>\n",
       "      <td>2.64</td>\n",
       "      <td>4.17</td>\n",
       "      <td>8.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverMin</th>\n",
       "      <td>94.30</td>\n",
       "      <td>95.90</td>\n",
       "      <td>95.00</td>\n",
       "      <td>93.90</td>\n",
       "      <td>97.10</td>\n",
       "      <td>96.80</td>\n",
       "      <td>93.70</td>\n",
       "      <td>93.20</td>\n",
       "      <td>93.00</td>\n",
       "      <td>93.30</td>\n",
       "      <td>...</td>\n",
       "      <td>95.10</td>\n",
       "      <td>91.90</td>\n",
       "      <td>91.30</td>\n",
       "      <td>95.20</td>\n",
       "      <td>91.80</td>\n",
       "      <td>92.60</td>\n",
       "      <td>95.00</td>\n",
       "      <td>93.90</td>\n",
       "      <td>94.10</td>\n",
       "      <td>86.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rent</th>\n",
       "      <td>1510.00</td>\n",
       "      <td>1480.00</td>\n",
       "      <td>1643.00</td>\n",
       "      <td>2257.00</td>\n",
       "      <td>1554.00</td>\n",
       "      <td>1701.00</td>\n",
       "      <td>1811.00</td>\n",
       "      <td>2063.00</td>\n",
       "      <td>2123.00</td>\n",
       "      <td>1992.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1639.00</td>\n",
       "      <td>1684.00</td>\n",
       "      <td>1908.00</td>\n",
       "      <td>1544.00</td>\n",
       "      <td>1684.00</td>\n",
       "      <td>1754.00</td>\n",
       "      <td>1599.00</td>\n",
       "      <td>1587.00</td>\n",
       "      <td>1673.00</td>\n",
       "      <td>1889.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HomeOwn</th>\n",
       "      <td>54.00</td>\n",
       "      <td>71.60</td>\n",
       "      <td>72.80</td>\n",
       "      <td>60.70</td>\n",
       "      <td>79.60</td>\n",
       "      <td>79.20</td>\n",
       "      <td>68.60</td>\n",
       "      <td>70.50</td>\n",
       "      <td>69.20</td>\n",
       "      <td>70.40</td>\n",
       "      <td>...</td>\n",
       "      <td>66.70</td>\n",
       "      <td>67.30</td>\n",
       "      <td>53.40</td>\n",
       "      <td>72.40</td>\n",
       "      <td>64.90</td>\n",
       "      <td>66.40</td>\n",
       "      <td>64.50</td>\n",
       "      <td>68.90</td>\n",
       "      <td>69.30</td>\n",
       "      <td>55.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CompPol</th>\n",
       "      <td>15.00</td>\n",
       "      <td>32.80</td>\n",
       "      <td>22.00</td>\n",
       "      <td>34.30</td>\n",
       "      <td>23.10</td>\n",
       "      <td>31.00</td>\n",
       "      <td>25.10</td>\n",
       "      <td>41.80</td>\n",
       "      <td>58.40</td>\n",
       "      <td>51.00</td>\n",
       "      <td>...</td>\n",
       "      <td>55.90</td>\n",
       "      <td>50.50</td>\n",
       "      <td>37.30</td>\n",
       "      <td>50.60</td>\n",
       "      <td>28.40</td>\n",
       "      <td>23.00</td>\n",
       "      <td>57.90</td>\n",
       "      <td>50.60</td>\n",
       "      <td>30.10</td>\n",
       "      <td>24.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumClime</th>\n",
       "      <td>7.60</td>\n",
       "      <td>4.50</td>\n",
       "      <td>6.30</td>\n",
       "      <td>9.10</td>\n",
       "      <td>9.10</td>\n",
       "      <td>5.60</td>\n",
       "      <td>6.50</td>\n",
       "      <td>12.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>6.70</td>\n",
       "      <td>...</td>\n",
       "      <td>10.30</td>\n",
       "      <td>8.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>8.20</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.60</td>\n",
       "      <td>6.80</td>\n",
       "      <td>8.30</td>\n",
       "      <td>7.80</td>\n",
       "      <td>10.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumLarc</th>\n",
       "      <td>206.00</td>\n",
       "      <td>103.00</td>\n",
       "      <td>115.00</td>\n",
       "      <td>272.00</td>\n",
       "      <td>88.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>232.00</td>\n",
       "      <td>245.00</td>\n",
       "      <td>209.00</td>\n",
       "      <td>275.00</td>\n",
       "      <td>...</td>\n",
       "      <td>223.00</td>\n",
       "      <td>173.00</td>\n",
       "      <td>322.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>109.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>128.00</td>\n",
       "      <td>209.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>380.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TrafAcci</th>\n",
       "      <td>451.80</td>\n",
       "      <td>558.20</td>\n",
       "      <td>388.90</td>\n",
       "      <td>471.10</td>\n",
       "      <td>364.30</td>\n",
       "      <td>496.60</td>\n",
       "      <td>618.60</td>\n",
       "      <td>732.60</td>\n",
       "      <td>700.20</td>\n",
       "      <td>854.70</td>\n",
       "      <td>...</td>\n",
       "      <td>707.40</td>\n",
       "      <td>676.00</td>\n",
       "      <td>918.90</td>\n",
       "      <td>599.00</td>\n",
       "      <td>472.50</td>\n",
       "      <td>612.00</td>\n",
       "      <td>551.90</td>\n",
       "      <td>360.20</td>\n",
       "      <td>641.70</td>\n",
       "      <td>241.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fire</th>\n",
       "      <td>77.30</td>\n",
       "      <td>88.10</td>\n",
       "      <td>65.60</td>\n",
       "      <td>81.70</td>\n",
       "      <td>84.80</td>\n",
       "      <td>94.80</td>\n",
       "      <td>94.30</td>\n",
       "      <td>95.10</td>\n",
       "      <td>92.60</td>\n",
       "      <td>80.90</td>\n",
       "      <td>...</td>\n",
       "      <td>73.50</td>\n",
       "      <td>76.40</td>\n",
       "      <td>74.10</td>\n",
       "      <td>97.10</td>\n",
       "      <td>79.00</td>\n",
       "      <td>80.10</td>\n",
       "      <td>72.30</td>\n",
       "      <td>82.30</td>\n",
       "      <td>75.10</td>\n",
       "      <td>58.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DspRubb</th>\n",
       "      <td>44.78</td>\n",
       "      <td>66.29</td>\n",
       "      <td>79.81</td>\n",
       "      <td>83.99</td>\n",
       "      <td>70.43</td>\n",
       "      <td>81.28</td>\n",
       "      <td>83.07</td>\n",
       "      <td>79.28</td>\n",
       "      <td>82.42</td>\n",
       "      <td>84.11</td>\n",
       "      <td>...</td>\n",
       "      <td>79.26</td>\n",
       "      <td>77.46</td>\n",
       "      <td>84.66</td>\n",
       "      <td>80.82</td>\n",
       "      <td>75.60</td>\n",
       "      <td>82.49</td>\n",
       "      <td>69.59</td>\n",
       "      <td>66.98</td>\n",
       "      <td>63.87</td>\n",
       "      <td>68.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sidewalk</th>\n",
       "      <td>21.70</td>\n",
       "      <td>10.90</td>\n",
       "      <td>8.30</td>\n",
       "      <td>13.80</td>\n",
       "      <td>8.30</td>\n",
       "      <td>15.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>7.80</td>\n",
       "      <td>11.00</td>\n",
       "      <td>6.80</td>\n",
       "      <td>...</td>\n",
       "      <td>8.20</td>\n",
       "      <td>9.10</td>\n",
       "      <td>13.30</td>\n",
       "      <td>11.90</td>\n",
       "      <td>8.70</td>\n",
       "      <td>8.40</td>\n",
       "      <td>10.10</td>\n",
       "      <td>9.70</td>\n",
       "      <td>10.00</td>\n",
       "      <td>24.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MedFacil</th>\n",
       "      <td>57.30</td>\n",
       "      <td>30.10</td>\n",
       "      <td>34.10</td>\n",
       "      <td>49.40</td>\n",
       "      <td>31.40</td>\n",
       "      <td>40.90</td>\n",
       "      <td>38.10</td>\n",
       "      <td>30.90</td>\n",
       "      <td>47.90</td>\n",
       "      <td>44.90</td>\n",
       "      <td>...</td>\n",
       "      <td>53.10</td>\n",
       "      <td>47.50</td>\n",
       "      <td>61.80</td>\n",
       "      <td>45.90</td>\n",
       "      <td>58.00</td>\n",
       "      <td>44.10</td>\n",
       "      <td>46.50</td>\n",
       "      <td>45.10</td>\n",
       "      <td>46.40</td>\n",
       "      <td>51.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverOrd</th>\n",
       "      <td>53.71</td>\n",
       "      <td>57.73</td>\n",
       "      <td>55.65</td>\n",
       "      <td>45.44</td>\n",
       "      <td>63.89</td>\n",
       "      <td>54.28</td>\n",
       "      <td>47.43</td>\n",
       "      <td>40.75</td>\n",
       "      <td>41.22</td>\n",
       "      <td>41.66</td>\n",
       "      <td>...</td>\n",
       "      <td>45.62</td>\n",
       "      <td>39.98</td>\n",
       "      <td>39.20</td>\n",
       "      <td>43.73</td>\n",
       "      <td>37.99</td>\n",
       "      <td>39.73</td>\n",
       "      <td>47.11</td>\n",
       "      <td>38.52</td>\n",
       "      <td>39.88</td>\n",
       "      <td>30.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunshine</th>\n",
       "      <td>56.16</td>\n",
       "      <td>61.99</td>\n",
       "      <td>72.20</td>\n",
       "      <td>67.29</td>\n",
       "      <td>63.55</td>\n",
       "      <td>74.52</td>\n",
       "      <td>74.51</td>\n",
       "      <td>72.37</td>\n",
       "      <td>73.74</td>\n",
       "      <td>74.30</td>\n",
       "      <td>...</td>\n",
       "      <td>67.39</td>\n",
       "      <td>68.24</td>\n",
       "      <td>59.98</td>\n",
       "      <td>74.51</td>\n",
       "      <td>64.72</td>\n",
       "      <td>70.04</td>\n",
       "      <td>70.88</td>\n",
       "      <td>78.52</td>\n",
       "      <td>69.89</td>\n",
       "      <td>58.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumMat</th>\n",
       "      <td>11.80</td>\n",
       "      <td>12.60</td>\n",
       "      <td>12.40</td>\n",
       "      <td>10.80</td>\n",
       "      <td>13.30</td>\n",
       "      <td>11.70</td>\n",
       "      <td>11.00</td>\n",
       "      <td>10.20</td>\n",
       "      <td>10.30</td>\n",
       "      <td>10.60</td>\n",
       "      <td>...</td>\n",
       "      <td>11.20</td>\n",
       "      <td>10.70</td>\n",
       "      <td>10.10</td>\n",
       "      <td>10.50</td>\n",
       "      <td>9.90</td>\n",
       "      <td>10.20</td>\n",
       "      <td>11.10</td>\n",
       "      <td>10.00</td>\n",
       "      <td>10.10</td>\n",
       "      <td>8.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AreaResi</th>\n",
       "      <td>306.00</td>\n",
       "      <td>356.00</td>\n",
       "      <td>365.00</td>\n",
       "      <td>358.00</td>\n",
       "      <td>389.00</td>\n",
       "      <td>398.00</td>\n",
       "      <td>374.00</td>\n",
       "      <td>433.00</td>\n",
       "      <td>402.00</td>\n",
       "      <td>363.00</td>\n",
       "      <td>...</td>\n",
       "      <td>237.00</td>\n",
       "      <td>192.00</td>\n",
       "      <td>288.00</td>\n",
       "      <td>326.00</td>\n",
       "      <td>246.00</td>\n",
       "      <td>335.00</td>\n",
       "      <td>293.00</td>\n",
       "      <td>323.00</td>\n",
       "      <td>295.00</td>\n",
       "      <td>282.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transpt</th>\n",
       "      <td>90.90</td>\n",
       "      <td>87.10</td>\n",
       "      <td>80.20</td>\n",
       "      <td>85.10</td>\n",
       "      <td>84.90</td>\n",
       "      <td>79.70</td>\n",
       "      <td>81.90</td>\n",
       "      <td>72.70</td>\n",
       "      <td>61.90</td>\n",
       "      <td>61.40</td>\n",
       "      <td>...</td>\n",
       "      <td>77.60</td>\n",
       "      <td>85.10</td>\n",
       "      <td>83.50</td>\n",
       "      <td>74.40</td>\n",
       "      <td>84.40</td>\n",
       "      <td>80.20</td>\n",
       "      <td>82.90</td>\n",
       "      <td>76.80</td>\n",
       "      <td>83.20</td>\n",
       "      <td>78.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AreaPark</th>\n",
       "      <td>25.50</td>\n",
       "      <td>12.90</td>\n",
       "      <td>9.60</td>\n",
       "      <td>11.70</td>\n",
       "      <td>15.80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>9.20</td>\n",
       "      <td>7.90</td>\n",
       "      <td>10.40</td>\n",
       "      <td>10.50</td>\n",
       "      <td>...</td>\n",
       "      <td>9.00</td>\n",
       "      <td>13.10</td>\n",
       "      <td>7.90</td>\n",
       "      <td>7.40</td>\n",
       "      <td>12.10</td>\n",
       "      <td>6.80</td>\n",
       "      <td>7.80</td>\n",
       "      <td>14.10</td>\n",
       "      <td>9.30</td>\n",
       "      <td>7.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sewarage</th>\n",
       "      <td>77.86</td>\n",
       "      <td>36.00</td>\n",
       "      <td>35.50</td>\n",
       "      <td>40.10</td>\n",
       "      <td>31.90</td>\n",
       "      <td>44.60</td>\n",
       "      <td>36.90</td>\n",
       "      <td>47.60</td>\n",
       "      <td>43.10</td>\n",
       "      <td>41.10</td>\n",
       "      <td>...</td>\n",
       "      <td>36.80</td>\n",
       "      <td>24.70</td>\n",
       "      <td>67.09</td>\n",
       "      <td>29.60</td>\n",
       "      <td>45.60</td>\n",
       "      <td>44.50</td>\n",
       "      <td>38.80</td>\n",
       "      <td>38.50</td>\n",
       "      <td>39.00</td>\n",
       "      <td>52.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recycle</th>\n",
       "      <td>4.90</td>\n",
       "      <td>3.20</td>\n",
       "      <td>11.30</td>\n",
       "      <td>16.20</td>\n",
       "      <td>10.40</td>\n",
       "      <td>16.50</td>\n",
       "      <td>9.50</td>\n",
       "      <td>12.60</td>\n",
       "      <td>16.20</td>\n",
       "      <td>12.30</td>\n",
       "      <td>...</td>\n",
       "      <td>7.60</td>\n",
       "      <td>7.90</td>\n",
       "      <td>8.50</td>\n",
       "      <td>11.70</td>\n",
       "      <td>7.10</td>\n",
       "      <td>8.90</td>\n",
       "      <td>7.90</td>\n",
       "      <td>11.80</td>\n",
       "      <td>3.10</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AmtRubb</th>\n",
       "      <td>1655.00</td>\n",
       "      <td>1363.60</td>\n",
       "      <td>940.00</td>\n",
       "      <td>1102.90</td>\n",
       "      <td>1203.80</td>\n",
       "      <td>950.20</td>\n",
       "      <td>1044.00</td>\n",
       "      <td>1105.50</td>\n",
       "      <td>1055.40</td>\n",
       "      <td>1069.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1073.10</td>\n",
       "      <td>991.80</td>\n",
       "      <td>1135.30</td>\n",
       "      <td>947.00</td>\n",
       "      <td>1168.50</td>\n",
       "      <td>927.40</td>\n",
       "      <td>1262.50</td>\n",
       "      <td>1151.20</td>\n",
       "      <td>1178.60</td>\n",
       "      <td>1040.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AvgMin</th>\n",
       "      <td>24.00</td>\n",
       "      <td>23.00</td>\n",
       "      <td>24.00</td>\n",
       "      <td>29.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>23.00</td>\n",
       "      <td>26.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>...</td>\n",
       "      <td>21.00</td>\n",
       "      <td>24.00</td>\n",
       "      <td>31.00</td>\n",
       "      <td>23.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>23.00</td>\n",
       "      <td>25.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>24.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pavement</th>\n",
       "      <td>19.90</td>\n",
       "      <td>24.90</td>\n",
       "      <td>14.40</td>\n",
       "      <td>26.60</td>\n",
       "      <td>15.70</td>\n",
       "      <td>20.70</td>\n",
       "      <td>14.70</td>\n",
       "      <td>11.40</td>\n",
       "      <td>20.80</td>\n",
       "      <td>16.80</td>\n",
       "      <td>...</td>\n",
       "      <td>18.80</td>\n",
       "      <td>19.70</td>\n",
       "      <td>15.00</td>\n",
       "      <td>25.00</td>\n",
       "      <td>34.30</td>\n",
       "      <td>23.10</td>\n",
       "      <td>31.80</td>\n",
       "      <td>19.60</td>\n",
       "      <td>16.10</td>\n",
       "      <td>40.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pref      Hokkaido   Aomori    Iwate   Miyagi    Akita  Yamagata  Fukushima  \\\n",
       "NonRep        7.67     7.80     6.93     7.26     5.92      5.75       7.11   \n",
       "OverMin      94.30    95.90    95.00    93.90    97.10     96.80      93.70   \n",
       "Rent       1510.00  1480.00  1643.00  2257.00  1554.00   1701.00    1811.00   \n",
       "HomeOwn      54.00    71.60    72.80    60.70    79.60     79.20      68.60   \n",
       "CompPol      15.00    32.80    22.00    34.30    23.10     31.00      25.10   \n",
       "NumClime      7.60     4.50     6.30     9.10     9.10      5.60       6.50   \n",
       "NumLarc     206.00   103.00   115.00   272.00    88.00    137.00     232.00   \n",
       "TrafAcci    451.80   558.20   388.90   471.10   364.30    496.60     618.60   \n",
       "Fire         77.30    88.10    65.60    81.70    84.80     94.80      94.30   \n",
       "DspRubb      44.78    66.29    79.81    83.99    70.43     81.28      83.07   \n",
       "Sidewalk     21.70    10.90     8.30    13.80     8.30     15.00       8.00   \n",
       "MedFacil     57.30    30.10    34.10    49.40    31.40     40.90      38.10   \n",
       "OverOrd      53.71    57.73    55.65    45.44    63.89     54.28      47.43   \n",
       "Sunshine     56.16    61.99    72.20    67.29    63.55     74.52      74.51   \n",
       "NumMat       11.80    12.60    12.40    10.80    13.30     11.70      11.00   \n",
       "AreaResi    306.00   356.00   365.00   358.00   389.00    398.00     374.00   \n",
       "Transpt      90.90    87.10    80.20    85.10    84.90     79.70      81.90   \n",
       "AreaPark     25.50    12.90     9.60    11.70    15.80     13.40       9.20   \n",
       "Sewarage     77.86    36.00    35.50    40.10    31.90     44.60      36.90   \n",
       "Recycle       4.90     3.20    11.30    16.20    10.40     16.50       9.50   \n",
       "AmtRubb    1655.00  1363.60   940.00  1102.90  1203.80    950.20    1044.00   \n",
       "AvgMin       24.00    23.00    24.00    29.00    22.00     23.00      26.00   \n",
       "Pavement     19.90    24.90    14.40    26.60    15.70     20.70      14.70   \n",
       "\n",
       "Pref      Ibaraki  Tochigi    Gunma   ...       Ehime    Kochi  Fukuoka  \\\n",
       "NonRep       5.36     5.19     5.99   ...        6.04     6.58     4.77   \n",
       "OverMin     93.20    93.00    93.30   ...       95.10    91.90    91.30   \n",
       "Rent      2063.00  2123.00  1992.00   ...     1639.00  1684.00  1908.00   \n",
       "HomeOwn     70.50    69.20    70.40   ...       66.70    67.30    53.40   \n",
       "CompPol     41.80    58.40    51.00   ...       55.90    50.50    37.30   \n",
       "NumClime    12.50     8.50     6.70   ...       10.30     8.00    10.00   \n",
       "NumLarc    245.00   209.00   275.00   ...      223.00   173.00   322.00   \n",
       "TrafAcci   732.60   700.20   854.70   ...      707.40   676.00   918.90   \n",
       "Fire        95.10    92.60    80.90   ...       73.50    76.40    74.10   \n",
       "DspRubb     79.28    82.42    84.11   ...       79.26    77.46    84.66   \n",
       "Sidewalk     7.80    11.00     6.80   ...        8.20     9.10    13.30   \n",
       "MedFacil    30.90    47.90    44.90   ...       53.10    47.50    61.80   \n",
       "OverOrd     40.75    41.22    41.66   ...       45.62    39.98    39.20   \n",
       "Sunshine    72.37    73.74    74.30   ...       67.39    68.24    59.98   \n",
       "NumMat      10.20    10.30    10.60   ...       11.20    10.70    10.10   \n",
       "AreaResi   433.00   402.00   363.00   ...      237.00   192.00   288.00   \n",
       "Transpt     72.70    61.90    61.40   ...       77.60    85.10    83.50   \n",
       "AreaPark     7.90    10.40    10.50   ...        9.00    13.10     7.90   \n",
       "Sewarage    47.60    43.10    41.10   ...       36.80    24.70    67.09   \n",
       "Recycle     12.60    16.20    12.30   ...        7.60     7.90     8.50   \n",
       "AmtRubb   1105.50  1055.40  1069.00   ...     1073.10   991.80  1135.30   \n",
       "AvgMin      31.00    28.00    28.00   ...       21.00    24.00    31.00   \n",
       "Pavement    11.40    20.80    16.80   ...       18.80    19.70    15.00   \n",
       "\n",
       "Pref         Saga  Nagasaki  Kumamoto     Oita  Miyazaki  Kagoshima  Okinawa  \n",
       "NonRep       5.25      5.04      6.23     4.77      2.64       4.17     8.23  \n",
       "OverMin     95.20     91.80     92.60    95.00     93.90      94.10    86.30  \n",
       "Rent      1544.00   1684.00   1754.00  1599.00   1587.00    1673.00  1889.00  \n",
       "HomeOwn     72.40     64.90     66.40    64.50     68.90      69.30    55.90  \n",
       "CompPol     50.60     28.40     23.00    57.90     50.60      30.10    24.40  \n",
       "NumClime     8.20      7.90      7.60     6.80      8.30       7.80    10.60  \n",
       "NumLarc    148.00    109.00    152.00   128.00    209.00     145.00   380.00  \n",
       "TrafAcci   599.00    472.50    612.00   551.90    360.20     641.70   241.50  \n",
       "Fire        97.10     79.00     80.10    72.30     82.30      75.10    58.40  \n",
       "DspRubb     80.82     75.60     82.49    69.59     66.98      63.87    68.99  \n",
       "Sidewalk    11.90      8.70      8.40    10.10      9.70      10.00    24.10  \n",
       "MedFacil    45.90     58.00     44.10    46.50     45.10      46.40    51.50  \n",
       "OverOrd     43.73     37.99     39.73    47.11     38.52      39.88    30.35  \n",
       "Sunshine    74.51     64.72     70.04    70.88     78.52      69.89    58.37  \n",
       "NumMat      10.50      9.90     10.20    11.10     10.00      10.10     8.40  \n",
       "AreaResi   326.00    246.00    335.00   293.00    323.00     295.00   282.00  \n",
       "Transpt     74.40     84.40     80.20    82.90     76.80      83.20    78.50  \n",
       "AreaPark     7.40     12.10      6.80     7.80     14.10       9.30     7.10  \n",
       "Sewarage    29.60     45.60     44.50    38.80     38.50      39.00    52.00  \n",
       "Recycle     11.70      7.10      8.90     7.90     11.80       3.10     5.00  \n",
       "AmtRubb    947.00   1168.50    927.40  1262.50   1151.20    1178.60  1040.60  \n",
       "AvgMin      23.00     28.00     23.00    25.00     21.00      21.00    24.00  \n",
       "Pavement    25.00     34.30     23.10    31.80     19.60      16.10    40.70  \n",
       "\n",
       "[23 rows x 47 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Pref</th>\n",
       "      <th>Hokkaido</th>\n",
       "      <th>Aomori</th>\n",
       "      <th>Iwate</th>\n",
       "      <th>Miyagi</th>\n",
       "      <th>Akita</th>\n",
       "      <th>Yamagata</th>\n",
       "      <th>Fukushima</th>\n",
       "      <th>Ibaraki</th>\n",
       "      <th>Tochigi</th>\n",
       "      <th>Gunma</th>\n",
       "      <th>...</th>\n",
       "      <th>Ehime</th>\n",
       "      <th>Kochi</th>\n",
       "      <th>Fukuoka</th>\n",
       "      <th>Saga</th>\n",
       "      <th>Nagasaki</th>\n",
       "      <th>Kumamoto</th>\n",
       "      <th>Oita</th>\n",
       "      <th>Miyazaki</th>\n",
       "      <th>Kagoshima</th>\n",
       "      <th>Okinawa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pref</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Hokkaido</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.990436</td>\n",
       "      <td>0.942096</td>\n",
       "      <td>0.919749</td>\n",
       "      <td>0.978805</td>\n",
       "      <td>0.937078</td>\n",
       "      <td>0.940955</td>\n",
       "      <td>0.928415</td>\n",
       "      <td>0.918560</td>\n",
       "      <td>0.920831</td>\n",
       "      <td>...</td>\n",
       "      <td>0.950980</td>\n",
       "      <td>0.937957</td>\n",
       "      <td>0.929341</td>\n",
       "      <td>0.945681</td>\n",
       "      <td>0.969379</td>\n",
       "      <td>0.927043</td>\n",
       "      <td>0.981225</td>\n",
       "      <td>0.974799</td>\n",
       "      <td>0.966304</td>\n",
       "      <td>0.930259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aomori</th>\n",
       "      <td>0.990436</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.968665</td>\n",
       "      <td>0.946766</td>\n",
       "      <td>0.990976</td>\n",
       "      <td>0.968250</td>\n",
       "      <td>0.970735</td>\n",
       "      <td>0.962769</td>\n",
       "      <td>0.954915</td>\n",
       "      <td>0.957785</td>\n",
       "      <td>...</td>\n",
       "      <td>0.977475</td>\n",
       "      <td>0.968513</td>\n",
       "      <td>0.961627</td>\n",
       "      <td>0.977099</td>\n",
       "      <td>0.986424</td>\n",
       "      <td>0.962443</td>\n",
       "      <td>0.995859</td>\n",
       "      <td>0.985439</td>\n",
       "      <td>0.988932</td>\n",
       "      <td>0.942309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Iwate</th>\n",
       "      <td>0.942096</td>\n",
       "      <td>0.968665</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.994594</td>\n",
       "      <td>0.988507</td>\n",
       "      <td>0.998542</td>\n",
       "      <td>0.994181</td>\n",
       "      <td>0.992117</td>\n",
       "      <td>0.992583</td>\n",
       "      <td>0.981639</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980899</td>\n",
       "      <td>0.983770</td>\n",
       "      <td>0.971900</td>\n",
       "      <td>0.991050</td>\n",
       "      <td>0.992086</td>\n",
       "      <td>0.993192</td>\n",
       "      <td>0.983558</td>\n",
       "      <td>0.991243</td>\n",
       "      <td>0.987221</td>\n",
       "      <td>0.984786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyagi</th>\n",
       "      <td>0.919749</td>\n",
       "      <td>0.946766</td>\n",
       "      <td>0.994594</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.972193</td>\n",
       "      <td>0.993335</td>\n",
       "      <td>0.991157</td>\n",
       "      <td>0.990544</td>\n",
       "      <td>0.993368</td>\n",
       "      <td>0.981341</td>\n",
       "      <td>...</td>\n",
       "      <td>0.976227</td>\n",
       "      <td>0.982273</td>\n",
       "      <td>0.971048</td>\n",
       "      <td>0.983942</td>\n",
       "      <td>0.983798</td>\n",
       "      <td>0.991107</td>\n",
       "      <td>0.969663</td>\n",
       "      <td>0.982871</td>\n",
       "      <td>0.977012</td>\n",
       "      <td>0.992574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akita</th>\n",
       "      <td>0.978805</td>\n",
       "      <td>0.990976</td>\n",
       "      <td>0.988507</td>\n",
       "      <td>0.972193</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.984403</td>\n",
       "      <td>0.980466</td>\n",
       "      <td>0.973543</td>\n",
       "      <td>0.969767</td>\n",
       "      <td>0.961472</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974106</td>\n",
       "      <td>0.970357</td>\n",
       "      <td>0.957109</td>\n",
       "      <td>0.981315</td>\n",
       "      <td>0.993477</td>\n",
       "      <td>0.974066</td>\n",
       "      <td>0.993668</td>\n",
       "      <td>0.996322</td>\n",
       "      <td>0.987716</td>\n",
       "      <td>0.970265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamagata</th>\n",
       "      <td>0.937078</td>\n",
       "      <td>0.968250</td>\n",
       "      <td>0.998542</td>\n",
       "      <td>0.993335</td>\n",
       "      <td>0.984403</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.997605</td>\n",
       "      <td>0.996868</td>\n",
       "      <td>0.996703</td>\n",
       "      <td>0.989304</td>\n",
       "      <td>...</td>\n",
       "      <td>0.986261</td>\n",
       "      <td>0.988677</td>\n",
       "      <td>0.980521</td>\n",
       "      <td>0.995625</td>\n",
       "      <td>0.990412</td>\n",
       "      <td>0.997352</td>\n",
       "      <td>0.983389</td>\n",
       "      <td>0.987644</td>\n",
       "      <td>0.989881</td>\n",
       "      <td>0.979328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fukushima</th>\n",
       "      <td>0.940955</td>\n",
       "      <td>0.970735</td>\n",
       "      <td>0.994181</td>\n",
       "      <td>0.991157</td>\n",
       "      <td>0.980466</td>\n",
       "      <td>0.997605</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999175</td>\n",
       "      <td>0.997492</td>\n",
       "      <td>0.995720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.993984</td>\n",
       "      <td>0.994631</td>\n",
       "      <td>0.990923</td>\n",
       "      <td>0.998314</td>\n",
       "      <td>0.990413</td>\n",
       "      <td>0.998463</td>\n",
       "      <td>0.985838</td>\n",
       "      <td>0.986920</td>\n",
       "      <td>0.993700</td>\n",
       "      <td>0.977918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ibaraki</th>\n",
       "      <td>0.928415</td>\n",
       "      <td>0.962769</td>\n",
       "      <td>0.992117</td>\n",
       "      <td>0.990544</td>\n",
       "      <td>0.973543</td>\n",
       "      <td>0.996868</td>\n",
       "      <td>0.999175</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999043</td>\n",
       "      <td>0.997413</td>\n",
       "      <td>...</td>\n",
       "      <td>0.992193</td>\n",
       "      <td>0.994018</td>\n",
       "      <td>0.991435</td>\n",
       "      <td>0.997409</td>\n",
       "      <td>0.985523</td>\n",
       "      <td>0.999196</td>\n",
       "      <td>0.979960</td>\n",
       "      <td>0.980549</td>\n",
       "      <td>0.990277</td>\n",
       "      <td>0.973784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tochigi</th>\n",
       "      <td>0.918560</td>\n",
       "      <td>0.954915</td>\n",
       "      <td>0.992583</td>\n",
       "      <td>0.993368</td>\n",
       "      <td>0.969767</td>\n",
       "      <td>0.996703</td>\n",
       "      <td>0.997492</td>\n",
       "      <td>0.999043</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.995688</td>\n",
       "      <td>...</td>\n",
       "      <td>0.988672</td>\n",
       "      <td>0.992923</td>\n",
       "      <td>0.987802</td>\n",
       "      <td>0.995060</td>\n",
       "      <td>0.983918</td>\n",
       "      <td>0.999239</td>\n",
       "      <td>0.975245</td>\n",
       "      <td>0.977553</td>\n",
       "      <td>0.986439</td>\n",
       "      <td>0.975355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gunma</th>\n",
       "      <td>0.920831</td>\n",
       "      <td>0.957785</td>\n",
       "      <td>0.981639</td>\n",
       "      <td>0.981341</td>\n",
       "      <td>0.961472</td>\n",
       "      <td>0.989304</td>\n",
       "      <td>0.995720</td>\n",
       "      <td>0.997413</td>\n",
       "      <td>0.995688</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.994858</td>\n",
       "      <td>0.995967</td>\n",
       "      <td>0.997398</td>\n",
       "      <td>0.995709</td>\n",
       "      <td>0.978943</td>\n",
       "      <td>0.996363</td>\n",
       "      <td>0.975619</td>\n",
       "      <td>0.970344</td>\n",
       "      <td>0.988602</td>\n",
       "      <td>0.961051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saitama</th>\n",
       "      <td>0.842029</td>\n",
       "      <td>0.882798</td>\n",
       "      <td>0.965951</td>\n",
       "      <td>0.984065</td>\n",
       "      <td>0.919644</td>\n",
       "      <td>0.966357</td>\n",
       "      <td>0.962664</td>\n",
       "      <td>0.967346</td>\n",
       "      <td>0.976544</td>\n",
       "      <td>0.960123</td>\n",
       "      <td>...</td>\n",
       "      <td>0.943050</td>\n",
       "      <td>0.958578</td>\n",
       "      <td>0.944588</td>\n",
       "      <td>0.952444</td>\n",
       "      <td>0.945359</td>\n",
       "      <td>0.970491</td>\n",
       "      <td>0.919916</td>\n",
       "      <td>0.936268</td>\n",
       "      <td>0.936637</td>\n",
       "      <td>0.966872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chiba</th>\n",
       "      <td>0.863108</td>\n",
       "      <td>0.898145</td>\n",
       "      <td>0.974053</td>\n",
       "      <td>0.990945</td>\n",
       "      <td>0.933292</td>\n",
       "      <td>0.973563</td>\n",
       "      <td>0.970997</td>\n",
       "      <td>0.973961</td>\n",
       "      <td>0.981383</td>\n",
       "      <td>0.965913</td>\n",
       "      <td>...</td>\n",
       "      <td>0.951795</td>\n",
       "      <td>0.964584</td>\n",
       "      <td>0.951963</td>\n",
       "      <td>0.960043</td>\n",
       "      <td>0.955479</td>\n",
       "      <td>0.975774</td>\n",
       "      <td>0.932350</td>\n",
       "      <td>0.950396</td>\n",
       "      <td>0.946541</td>\n",
       "      <td>0.979251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tokyo</th>\n",
       "      <td>0.827394</td>\n",
       "      <td>0.862360</td>\n",
       "      <td>0.953388</td>\n",
       "      <td>0.976315</td>\n",
       "      <td>0.905791</td>\n",
       "      <td>0.950538</td>\n",
       "      <td>0.945272</td>\n",
       "      <td>0.949005</td>\n",
       "      <td>0.960238</td>\n",
       "      <td>0.938893</td>\n",
       "      <td>...</td>\n",
       "      <td>0.922901</td>\n",
       "      <td>0.940632</td>\n",
       "      <td>0.922171</td>\n",
       "      <td>0.932124</td>\n",
       "      <td>0.932604</td>\n",
       "      <td>0.952919</td>\n",
       "      <td>0.902601</td>\n",
       "      <td>0.925142</td>\n",
       "      <td>0.917446</td>\n",
       "      <td>0.965138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kanagawa</th>\n",
       "      <td>0.851841</td>\n",
       "      <td>0.892045</td>\n",
       "      <td>0.968005</td>\n",
       "      <td>0.984358</td>\n",
       "      <td>0.924699</td>\n",
       "      <td>0.968678</td>\n",
       "      <td>0.965742</td>\n",
       "      <td>0.970023</td>\n",
       "      <td>0.978950</td>\n",
       "      <td>0.964304</td>\n",
       "      <td>...</td>\n",
       "      <td>0.950046</td>\n",
       "      <td>0.965341</td>\n",
       "      <td>0.950802</td>\n",
       "      <td>0.957485</td>\n",
       "      <td>0.952090</td>\n",
       "      <td>0.974176</td>\n",
       "      <td>0.927932</td>\n",
       "      <td>0.939842</td>\n",
       "      <td>0.944003</td>\n",
       "      <td>0.965491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niigata</th>\n",
       "      <td>0.964402</td>\n",
       "      <td>0.985098</td>\n",
       "      <td>0.995610</td>\n",
       "      <td>0.987690</td>\n",
       "      <td>0.993509</td>\n",
       "      <td>0.995278</td>\n",
       "      <td>0.995489</td>\n",
       "      <td>0.991715</td>\n",
       "      <td>0.989554</td>\n",
       "      <td>0.985207</td>\n",
       "      <td>...</td>\n",
       "      <td>0.991559</td>\n",
       "      <td>0.990799</td>\n",
       "      <td>0.981722</td>\n",
       "      <td>0.995275</td>\n",
       "      <td>0.998535</td>\n",
       "      <td>0.992193</td>\n",
       "      <td>0.995576</td>\n",
       "      <td>0.996128</td>\n",
       "      <td>0.996965</td>\n",
       "      <td>0.979729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toyama</th>\n",
       "      <td>0.921373</td>\n",
       "      <td>0.956500</td>\n",
       "      <td>0.989009</td>\n",
       "      <td>0.989382</td>\n",
       "      <td>0.967494</td>\n",
       "      <td>0.994414</td>\n",
       "      <td>0.997965</td>\n",
       "      <td>0.999112</td>\n",
       "      <td>0.998017</td>\n",
       "      <td>0.997649</td>\n",
       "      <td>...</td>\n",
       "      <td>0.990727</td>\n",
       "      <td>0.992430</td>\n",
       "      <td>0.992065</td>\n",
       "      <td>0.995100</td>\n",
       "      <td>0.980899</td>\n",
       "      <td>0.997913</td>\n",
       "      <td>0.974927</td>\n",
       "      <td>0.976270</td>\n",
       "      <td>0.986845</td>\n",
       "      <td>0.973092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ishikawa</th>\n",
       "      <td>0.967945</td>\n",
       "      <td>0.987709</td>\n",
       "      <td>0.986819</td>\n",
       "      <td>0.978763</td>\n",
       "      <td>0.987356</td>\n",
       "      <td>0.988439</td>\n",
       "      <td>0.992662</td>\n",
       "      <td>0.988883</td>\n",
       "      <td>0.985550</td>\n",
       "      <td>0.987061</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996524</td>\n",
       "      <td>0.994401</td>\n",
       "      <td>0.988208</td>\n",
       "      <td>0.994791</td>\n",
       "      <td>0.997007</td>\n",
       "      <td>0.989403</td>\n",
       "      <td>0.997169</td>\n",
       "      <td>0.990724</td>\n",
       "      <td>0.999284</td>\n",
       "      <td>0.968849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fukui</th>\n",
       "      <td>0.950767</td>\n",
       "      <td>0.977599</td>\n",
       "      <td>0.994948</td>\n",
       "      <td>0.989632</td>\n",
       "      <td>0.985615</td>\n",
       "      <td>0.997296</td>\n",
       "      <td>0.999155</td>\n",
       "      <td>0.997360</td>\n",
       "      <td>0.995427</td>\n",
       "      <td>0.993525</td>\n",
       "      <td>...</td>\n",
       "      <td>0.995069</td>\n",
       "      <td>0.995027</td>\n",
       "      <td>0.989806</td>\n",
       "      <td>0.998570</td>\n",
       "      <td>0.994435</td>\n",
       "      <td>0.997344</td>\n",
       "      <td>0.990912</td>\n",
       "      <td>0.990388</td>\n",
       "      <td>0.996589</td>\n",
       "      <td>0.977529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamanashi</th>\n",
       "      <td>0.909871</td>\n",
       "      <td>0.948609</td>\n",
       "      <td>0.989052</td>\n",
       "      <td>0.991554</td>\n",
       "      <td>0.963002</td>\n",
       "      <td>0.993797</td>\n",
       "      <td>0.995356</td>\n",
       "      <td>0.997533</td>\n",
       "      <td>0.999233</td>\n",
       "      <td>0.995775</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987964</td>\n",
       "      <td>0.993689</td>\n",
       "      <td>0.988346</td>\n",
       "      <td>0.993156</td>\n",
       "      <td>0.980910</td>\n",
       "      <td>0.998616</td>\n",
       "      <td>0.970966</td>\n",
       "      <td>0.971572</td>\n",
       "      <td>0.983991</td>\n",
       "      <td>0.971093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nagano</th>\n",
       "      <td>0.923598</td>\n",
       "      <td>0.959139</td>\n",
       "      <td>0.994637</td>\n",
       "      <td>0.993454</td>\n",
       "      <td>0.974059</td>\n",
       "      <td>0.997860</td>\n",
       "      <td>0.997511</td>\n",
       "      <td>0.998482</td>\n",
       "      <td>0.999508</td>\n",
       "      <td>0.994234</td>\n",
       "      <td>...</td>\n",
       "      <td>0.988905</td>\n",
       "      <td>0.993341</td>\n",
       "      <td>0.986272</td>\n",
       "      <td>0.995770</td>\n",
       "      <td>0.986996</td>\n",
       "      <td>0.999489</td>\n",
       "      <td>0.978399</td>\n",
       "      <td>0.980006</td>\n",
       "      <td>0.988386</td>\n",
       "      <td>0.975266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gifu</th>\n",
       "      <td>0.943845</td>\n",
       "      <td>0.971355</td>\n",
       "      <td>0.993341</td>\n",
       "      <td>0.991817</td>\n",
       "      <td>0.980294</td>\n",
       "      <td>0.996079</td>\n",
       "      <td>0.999178</td>\n",
       "      <td>0.997920</td>\n",
       "      <td>0.996804</td>\n",
       "      <td>0.995180</td>\n",
       "      <td>...</td>\n",
       "      <td>0.995634</td>\n",
       "      <td>0.996830</td>\n",
       "      <td>0.991610</td>\n",
       "      <td>0.997688</td>\n",
       "      <td>0.992754</td>\n",
       "      <td>0.997790</td>\n",
       "      <td>0.987572</td>\n",
       "      <td>0.988003</td>\n",
       "      <td>0.994704</td>\n",
       "      <td>0.979769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shizuoka</th>\n",
       "      <td>0.909037</td>\n",
       "      <td>0.948469</td>\n",
       "      <td>0.983803</td>\n",
       "      <td>0.986185</td>\n",
       "      <td>0.958441</td>\n",
       "      <td>0.989577</td>\n",
       "      <td>0.992790</td>\n",
       "      <td>0.995109</td>\n",
       "      <td>0.996756</td>\n",
       "      <td>0.995945</td>\n",
       "      <td>...</td>\n",
       "      <td>0.989904</td>\n",
       "      <td>0.995889</td>\n",
       "      <td>0.990825</td>\n",
       "      <td>0.992368</td>\n",
       "      <td>0.979993</td>\n",
       "      <td>0.997045</td>\n",
       "      <td>0.970861</td>\n",
       "      <td>0.966825</td>\n",
       "      <td>0.984601</td>\n",
       "      <td>0.963095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aichi</th>\n",
       "      <td>0.921823</td>\n",
       "      <td>0.952408</td>\n",
       "      <td>0.990205</td>\n",
       "      <td>0.995570</td>\n",
       "      <td>0.967485</td>\n",
       "      <td>0.992875</td>\n",
       "      <td>0.995643</td>\n",
       "      <td>0.996089</td>\n",
       "      <td>0.997582</td>\n",
       "      <td>0.993366</td>\n",
       "      <td>...</td>\n",
       "      <td>0.989227</td>\n",
       "      <td>0.993976</td>\n",
       "      <td>0.987740</td>\n",
       "      <td>0.991588</td>\n",
       "      <td>0.985460</td>\n",
       "      <td>0.996477</td>\n",
       "      <td>0.975060</td>\n",
       "      <td>0.979285</td>\n",
       "      <td>0.985303</td>\n",
       "      <td>0.982690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mie</th>\n",
       "      <td>0.978148</td>\n",
       "      <td>0.994094</td>\n",
       "      <td>0.986055</td>\n",
       "      <td>0.974016</td>\n",
       "      <td>0.993258</td>\n",
       "      <td>0.986387</td>\n",
       "      <td>0.989367</td>\n",
       "      <td>0.983972</td>\n",
       "      <td>0.979401</td>\n",
       "      <td>0.979930</td>\n",
       "      <td>...</td>\n",
       "      <td>0.992331</td>\n",
       "      <td>0.988112</td>\n",
       "      <td>0.980852</td>\n",
       "      <td>0.992096</td>\n",
       "      <td>0.997109</td>\n",
       "      <td>0.983926</td>\n",
       "      <td>0.999592</td>\n",
       "      <td>0.994402</td>\n",
       "      <td>0.998263</td>\n",
       "      <td>0.967459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shiga</th>\n",
       "      <td>0.949980</td>\n",
       "      <td>0.976786</td>\n",
       "      <td>0.991436</td>\n",
       "      <td>0.987504</td>\n",
       "      <td>0.981829</td>\n",
       "      <td>0.994822</td>\n",
       "      <td>0.998687</td>\n",
       "      <td>0.997135</td>\n",
       "      <td>0.994958</td>\n",
       "      <td>0.995374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997581</td>\n",
       "      <td>0.997312</td>\n",
       "      <td>0.993351</td>\n",
       "      <td>0.998667</td>\n",
       "      <td>0.993456</td>\n",
       "      <td>0.996825</td>\n",
       "      <td>0.990696</td>\n",
       "      <td>0.988156</td>\n",
       "      <td>0.997088</td>\n",
       "      <td>0.974870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kyoto</th>\n",
       "      <td>0.911547</td>\n",
       "      <td>0.941141</td>\n",
       "      <td>0.986684</td>\n",
       "      <td>0.994826</td>\n",
       "      <td>0.961216</td>\n",
       "      <td>0.986949</td>\n",
       "      <td>0.987421</td>\n",
       "      <td>0.987898</td>\n",
       "      <td>0.992118</td>\n",
       "      <td>0.983573</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980102</td>\n",
       "      <td>0.988442</td>\n",
       "      <td>0.976571</td>\n",
       "      <td>0.982601</td>\n",
       "      <td>0.982518</td>\n",
       "      <td>0.990582</td>\n",
       "      <td>0.967414</td>\n",
       "      <td>0.973331</td>\n",
       "      <td>0.977208</td>\n",
       "      <td>0.982003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Osaka</th>\n",
       "      <td>0.924021</td>\n",
       "      <td>0.945208</td>\n",
       "      <td>0.984656</td>\n",
       "      <td>0.994508</td>\n",
       "      <td>0.964241</td>\n",
       "      <td>0.983440</td>\n",
       "      <td>0.985818</td>\n",
       "      <td>0.984254</td>\n",
       "      <td>0.987251</td>\n",
       "      <td>0.979260</td>\n",
       "      <td>...</td>\n",
       "      <td>0.979563</td>\n",
       "      <td>0.985688</td>\n",
       "      <td>0.974506</td>\n",
       "      <td>0.979345</td>\n",
       "      <td>0.984057</td>\n",
       "      <td>0.985593</td>\n",
       "      <td>0.970019</td>\n",
       "      <td>0.979102</td>\n",
       "      <td>0.976870</td>\n",
       "      <td>0.989768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hyogo</th>\n",
       "      <td>0.994968</td>\n",
       "      <td>0.989077</td>\n",
       "      <td>0.953103</td>\n",
       "      <td>0.937014</td>\n",
       "      <td>0.981534</td>\n",
       "      <td>0.947523</td>\n",
       "      <td>0.951038</td>\n",
       "      <td>0.939985</td>\n",
       "      <td>0.933708</td>\n",
       "      <td>0.933518</td>\n",
       "      <td>...</td>\n",
       "      <td>0.962005</td>\n",
       "      <td>0.953999</td>\n",
       "      <td>0.940807</td>\n",
       "      <td>0.955226</td>\n",
       "      <td>0.980883</td>\n",
       "      <td>0.940818</td>\n",
       "      <td>0.987064</td>\n",
       "      <td>0.980605</td>\n",
       "      <td>0.974591</td>\n",
       "      <td>0.944106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nara</th>\n",
       "      <td>0.918455</td>\n",
       "      <td>0.949695</td>\n",
       "      <td>0.993005</td>\n",
       "      <td>0.997369</td>\n",
       "      <td>0.969749</td>\n",
       "      <td>0.993644</td>\n",
       "      <td>0.992837</td>\n",
       "      <td>0.993167</td>\n",
       "      <td>0.996326</td>\n",
       "      <td>0.987542</td>\n",
       "      <td>...</td>\n",
       "      <td>0.983336</td>\n",
       "      <td>0.990359</td>\n",
       "      <td>0.979225</td>\n",
       "      <td>0.988658</td>\n",
       "      <td>0.986382</td>\n",
       "      <td>0.995214</td>\n",
       "      <td>0.973156</td>\n",
       "      <td>0.979239</td>\n",
       "      <td>0.982307</td>\n",
       "      <td>0.983668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wakayama</th>\n",
       "      <td>0.954456</td>\n",
       "      <td>0.980535</td>\n",
       "      <td>0.978895</td>\n",
       "      <td>0.972121</td>\n",
       "      <td>0.975072</td>\n",
       "      <td>0.983954</td>\n",
       "      <td>0.991295</td>\n",
       "      <td>0.988972</td>\n",
       "      <td>0.985407</td>\n",
       "      <td>0.991850</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999151</td>\n",
       "      <td>0.997379</td>\n",
       "      <td>0.994636</td>\n",
       "      <td>0.995226</td>\n",
       "      <td>0.990198</td>\n",
       "      <td>0.989603</td>\n",
       "      <td>0.991512</td>\n",
       "      <td>0.979853</td>\n",
       "      <td>0.997462</td>\n",
       "      <td>0.956511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tottori</th>\n",
       "      <td>0.961325</td>\n",
       "      <td>0.978726</td>\n",
       "      <td>0.995161</td>\n",
       "      <td>0.991342</td>\n",
       "      <td>0.990862</td>\n",
       "      <td>0.993986</td>\n",
       "      <td>0.994942</td>\n",
       "      <td>0.990680</td>\n",
       "      <td>0.988589</td>\n",
       "      <td>0.983033</td>\n",
       "      <td>...</td>\n",
       "      <td>0.988221</td>\n",
       "      <td>0.987274</td>\n",
       "      <td>0.979121</td>\n",
       "      <td>0.991676</td>\n",
       "      <td>0.995748</td>\n",
       "      <td>0.989952</td>\n",
       "      <td>0.991033</td>\n",
       "      <td>0.997338</td>\n",
       "      <td>0.992429</td>\n",
       "      <td>0.988833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shimane</th>\n",
       "      <td>0.962193</td>\n",
       "      <td>0.981112</td>\n",
       "      <td>0.997259</td>\n",
       "      <td>0.990289</td>\n",
       "      <td>0.994544</td>\n",
       "      <td>0.995333</td>\n",
       "      <td>0.993724</td>\n",
       "      <td>0.989374</td>\n",
       "      <td>0.987847</td>\n",
       "      <td>0.980150</td>\n",
       "      <td>...</td>\n",
       "      <td>0.985855</td>\n",
       "      <td>0.985718</td>\n",
       "      <td>0.974594</td>\n",
       "      <td>0.991744</td>\n",
       "      <td>0.997214</td>\n",
       "      <td>0.989758</td>\n",
       "      <td>0.992263</td>\n",
       "      <td>0.997762</td>\n",
       "      <td>0.992671</td>\n",
       "      <td>0.985486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Okayama</th>\n",
       "      <td>0.942285</td>\n",
       "      <td>0.971134</td>\n",
       "      <td>0.992404</td>\n",
       "      <td>0.990485</td>\n",
       "      <td>0.979051</td>\n",
       "      <td>0.995445</td>\n",
       "      <td>0.998437</td>\n",
       "      <td>0.997464</td>\n",
       "      <td>0.996768</td>\n",
       "      <td>0.995423</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996190</td>\n",
       "      <td>0.998150</td>\n",
       "      <td>0.992147</td>\n",
       "      <td>0.997913</td>\n",
       "      <td>0.993112</td>\n",
       "      <td>0.998161</td>\n",
       "      <td>0.987649</td>\n",
       "      <td>0.985956</td>\n",
       "      <td>0.995233</td>\n",
       "      <td>0.976182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hiroshima</th>\n",
       "      <td>0.915662</td>\n",
       "      <td>0.948223</td>\n",
       "      <td>0.988473</td>\n",
       "      <td>0.994406</td>\n",
       "      <td>0.963692</td>\n",
       "      <td>0.991360</td>\n",
       "      <td>0.993850</td>\n",
       "      <td>0.994726</td>\n",
       "      <td>0.996991</td>\n",
       "      <td>0.992549</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987845</td>\n",
       "      <td>0.993999</td>\n",
       "      <td>0.986721</td>\n",
       "      <td>0.990153</td>\n",
       "      <td>0.983829</td>\n",
       "      <td>0.996108</td>\n",
       "      <td>0.972117</td>\n",
       "      <td>0.975200</td>\n",
       "      <td>0.983498</td>\n",
       "      <td>0.979241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamaguchi</th>\n",
       "      <td>0.972752</td>\n",
       "      <td>0.992149</td>\n",
       "      <td>0.984401</td>\n",
       "      <td>0.972819</td>\n",
       "      <td>0.988801</td>\n",
       "      <td>0.986585</td>\n",
       "      <td>0.990946</td>\n",
       "      <td>0.986574</td>\n",
       "      <td>0.981891</td>\n",
       "      <td>0.984906</td>\n",
       "      <td>...</td>\n",
       "      <td>0.995687</td>\n",
       "      <td>0.991657</td>\n",
       "      <td>0.986784</td>\n",
       "      <td>0.994452</td>\n",
       "      <td>0.995612</td>\n",
       "      <td>0.986723</td>\n",
       "      <td>0.998504</td>\n",
       "      <td>0.990317</td>\n",
       "      <td>0.999540</td>\n",
       "      <td>0.962781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tokushima</th>\n",
       "      <td>0.939124</td>\n",
       "      <td>0.973701</td>\n",
       "      <td>0.983904</td>\n",
       "      <td>0.976417</td>\n",
       "      <td>0.973211</td>\n",
       "      <td>0.990203</td>\n",
       "      <td>0.994620</td>\n",
       "      <td>0.994489</td>\n",
       "      <td>0.992155</td>\n",
       "      <td>0.996071</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997105</td>\n",
       "      <td>0.997350</td>\n",
       "      <td>0.994668</td>\n",
       "      <td>0.998375</td>\n",
       "      <td>0.987192</td>\n",
       "      <td>0.995407</td>\n",
       "      <td>0.986545</td>\n",
       "      <td>0.976113</td>\n",
       "      <td>0.995587</td>\n",
       "      <td>0.954675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kagawa</th>\n",
       "      <td>0.939856</td>\n",
       "      <td>0.970893</td>\n",
       "      <td>0.990309</td>\n",
       "      <td>0.987536</td>\n",
       "      <td>0.976578</td>\n",
       "      <td>0.994631</td>\n",
       "      <td>0.998432</td>\n",
       "      <td>0.997942</td>\n",
       "      <td>0.996728</td>\n",
       "      <td>0.997262</td>\n",
       "      <td>...</td>\n",
       "      <td>0.997242</td>\n",
       "      <td>0.998660</td>\n",
       "      <td>0.994452</td>\n",
       "      <td>0.998749</td>\n",
       "      <td>0.990974</td>\n",
       "      <td>0.998398</td>\n",
       "      <td>0.986805</td>\n",
       "      <td>0.982981</td>\n",
       "      <td>0.995445</td>\n",
       "      <td>0.971133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ehime</th>\n",
       "      <td>0.950980</td>\n",
       "      <td>0.977475</td>\n",
       "      <td>0.980899</td>\n",
       "      <td>0.976227</td>\n",
       "      <td>0.974106</td>\n",
       "      <td>0.986261</td>\n",
       "      <td>0.993984</td>\n",
       "      <td>0.992193</td>\n",
       "      <td>0.988672</td>\n",
       "      <td>0.994858</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.998159</td>\n",
       "      <td>0.996973</td>\n",
       "      <td>0.996397</td>\n",
       "      <td>0.989271</td>\n",
       "      <td>0.991815</td>\n",
       "      <td>0.989930</td>\n",
       "      <td>0.980994</td>\n",
       "      <td>0.996937</td>\n",
       "      <td>0.961700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kochi</th>\n",
       "      <td>0.937957</td>\n",
       "      <td>0.968513</td>\n",
       "      <td>0.983770</td>\n",
       "      <td>0.982273</td>\n",
       "      <td>0.970357</td>\n",
       "      <td>0.988677</td>\n",
       "      <td>0.994631</td>\n",
       "      <td>0.994018</td>\n",
       "      <td>0.992923</td>\n",
       "      <td>0.995967</td>\n",
       "      <td>...</td>\n",
       "      <td>0.998159</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.995589</td>\n",
       "      <td>0.996156</td>\n",
       "      <td>0.989045</td>\n",
       "      <td>0.995138</td>\n",
       "      <td>0.985302</td>\n",
       "      <td>0.978056</td>\n",
       "      <td>0.994375</td>\n",
       "      <td>0.964851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fukuoka</th>\n",
       "      <td>0.929341</td>\n",
       "      <td>0.961627</td>\n",
       "      <td>0.971900</td>\n",
       "      <td>0.971048</td>\n",
       "      <td>0.957109</td>\n",
       "      <td>0.980521</td>\n",
       "      <td>0.990923</td>\n",
       "      <td>0.991435</td>\n",
       "      <td>0.987802</td>\n",
       "      <td>0.997398</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996973</td>\n",
       "      <td>0.995589</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.992381</td>\n",
       "      <td>0.976889</td>\n",
       "      <td>0.990010</td>\n",
       "      <td>0.977042</td>\n",
       "      <td>0.966960</td>\n",
       "      <td>0.989128</td>\n",
       "      <td>0.952587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Saga</th>\n",
       "      <td>0.945681</td>\n",
       "      <td>0.977099</td>\n",
       "      <td>0.991050</td>\n",
       "      <td>0.983942</td>\n",
       "      <td>0.981315</td>\n",
       "      <td>0.995625</td>\n",
       "      <td>0.998314</td>\n",
       "      <td>0.997409</td>\n",
       "      <td>0.995060</td>\n",
       "      <td>0.995709</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996397</td>\n",
       "      <td>0.996156</td>\n",
       "      <td>0.992381</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.991242</td>\n",
       "      <td>0.997444</td>\n",
       "      <td>0.989606</td>\n",
       "      <td>0.984837</td>\n",
       "      <td>0.996791</td>\n",
       "      <td>0.966971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nagasaki</th>\n",
       "      <td>0.969379</td>\n",
       "      <td>0.986424</td>\n",
       "      <td>0.992086</td>\n",
       "      <td>0.983798</td>\n",
       "      <td>0.993477</td>\n",
       "      <td>0.990412</td>\n",
       "      <td>0.990413</td>\n",
       "      <td>0.985523</td>\n",
       "      <td>0.983918</td>\n",
       "      <td>0.978943</td>\n",
       "      <td>...</td>\n",
       "      <td>0.989271</td>\n",
       "      <td>0.989045</td>\n",
       "      <td>0.976889</td>\n",
       "      <td>0.991242</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.987392</td>\n",
       "      <td>0.996600</td>\n",
       "      <td>0.995649</td>\n",
       "      <td>0.995942</td>\n",
       "      <td>0.977144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kumamoto</th>\n",
       "      <td>0.927043</td>\n",
       "      <td>0.962443</td>\n",
       "      <td>0.993192</td>\n",
       "      <td>0.991107</td>\n",
       "      <td>0.974066</td>\n",
       "      <td>0.997352</td>\n",
       "      <td>0.998463</td>\n",
       "      <td>0.999196</td>\n",
       "      <td>0.999239</td>\n",
       "      <td>0.996363</td>\n",
       "      <td>...</td>\n",
       "      <td>0.991815</td>\n",
       "      <td>0.995138</td>\n",
       "      <td>0.990010</td>\n",
       "      <td>0.997444</td>\n",
       "      <td>0.987392</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.980392</td>\n",
       "      <td>0.979859</td>\n",
       "      <td>0.990692</td>\n",
       "      <td>0.972589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oita</th>\n",
       "      <td>0.981225</td>\n",
       "      <td>0.995859</td>\n",
       "      <td>0.983558</td>\n",
       "      <td>0.969663</td>\n",
       "      <td>0.993668</td>\n",
       "      <td>0.983389</td>\n",
       "      <td>0.985838</td>\n",
       "      <td>0.979960</td>\n",
       "      <td>0.975245</td>\n",
       "      <td>0.975619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.989930</td>\n",
       "      <td>0.985302</td>\n",
       "      <td>0.977042</td>\n",
       "      <td>0.989606</td>\n",
       "      <td>0.996600</td>\n",
       "      <td>0.980392</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.993382</td>\n",
       "      <td>0.997223</td>\n",
       "      <td>0.963183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miyazaki</th>\n",
       "      <td>0.974799</td>\n",
       "      <td>0.985439</td>\n",
       "      <td>0.991243</td>\n",
       "      <td>0.982871</td>\n",
       "      <td>0.996322</td>\n",
       "      <td>0.987644</td>\n",
       "      <td>0.986920</td>\n",
       "      <td>0.980549</td>\n",
       "      <td>0.977553</td>\n",
       "      <td>0.970344</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980994</td>\n",
       "      <td>0.978056</td>\n",
       "      <td>0.966960</td>\n",
       "      <td>0.984837</td>\n",
       "      <td>0.995649</td>\n",
       "      <td>0.979859</td>\n",
       "      <td>0.993382</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.989660</td>\n",
       "      <td>0.984687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kagoshima</th>\n",
       "      <td>0.966304</td>\n",
       "      <td>0.988932</td>\n",
       "      <td>0.987221</td>\n",
       "      <td>0.977012</td>\n",
       "      <td>0.987716</td>\n",
       "      <td>0.989881</td>\n",
       "      <td>0.993700</td>\n",
       "      <td>0.990277</td>\n",
       "      <td>0.986439</td>\n",
       "      <td>0.988602</td>\n",
       "      <td>...</td>\n",
       "      <td>0.996937</td>\n",
       "      <td>0.994375</td>\n",
       "      <td>0.989128</td>\n",
       "      <td>0.996791</td>\n",
       "      <td>0.995942</td>\n",
       "      <td>0.990692</td>\n",
       "      <td>0.997223</td>\n",
       "      <td>0.989660</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.964749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Okinawa</th>\n",
       "      <td>0.930259</td>\n",
       "      <td>0.942309</td>\n",
       "      <td>0.984786</td>\n",
       "      <td>0.992574</td>\n",
       "      <td>0.970265</td>\n",
       "      <td>0.979328</td>\n",
       "      <td>0.977918</td>\n",
       "      <td>0.973784</td>\n",
       "      <td>0.975355</td>\n",
       "      <td>0.961051</td>\n",
       "      <td>...</td>\n",
       "      <td>0.961700</td>\n",
       "      <td>0.964851</td>\n",
       "      <td>0.952587</td>\n",
       "      <td>0.966971</td>\n",
       "      <td>0.977144</td>\n",
       "      <td>0.972589</td>\n",
       "      <td>0.963183</td>\n",
       "      <td>0.984687</td>\n",
       "      <td>0.964749</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>47 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Pref       Hokkaido    Aomori     Iwate    Miyagi     Akita  Yamagata  \\\n",
       "Pref                                                                    \n",
       "Hokkaido   1.000000  0.990436  0.942096  0.919749  0.978805  0.937078   \n",
       "Aomori     0.990436  1.000000  0.968665  0.946766  0.990976  0.968250   \n",
       "Iwate      0.942096  0.968665  1.000000  0.994594  0.988507  0.998542   \n",
       "Miyagi     0.919749  0.946766  0.994594  1.000000  0.972193  0.993335   \n",
       "Akita      0.978805  0.990976  0.988507  0.972193  1.000000  0.984403   \n",
       "Yamagata   0.937078  0.968250  0.998542  0.993335  0.984403  1.000000   \n",
       "Fukushima  0.940955  0.970735  0.994181  0.991157  0.980466  0.997605   \n",
       "Ibaraki    0.928415  0.962769  0.992117  0.990544  0.973543  0.996868   \n",
       "Tochigi    0.918560  0.954915  0.992583  0.993368  0.969767  0.996703   \n",
       "Gunma      0.920831  0.957785  0.981639  0.981341  0.961472  0.989304   \n",
       "Saitama    0.842029  0.882798  0.965951  0.984065  0.919644  0.966357   \n",
       "Chiba      0.863108  0.898145  0.974053  0.990945  0.933292  0.973563   \n",
       "Tokyo      0.827394  0.862360  0.953388  0.976315  0.905791  0.950538   \n",
       "Kanagawa   0.851841  0.892045  0.968005  0.984358  0.924699  0.968678   \n",
       "Niigata    0.964402  0.985098  0.995610  0.987690  0.993509  0.995278   \n",
       "Toyama     0.921373  0.956500  0.989009  0.989382  0.967494  0.994414   \n",
       "Ishikawa   0.967945  0.987709  0.986819  0.978763  0.987356  0.988439   \n",
       "Fukui      0.950767  0.977599  0.994948  0.989632  0.985615  0.997296   \n",
       "Yamanashi  0.909871  0.948609  0.989052  0.991554  0.963002  0.993797   \n",
       "Nagano     0.923598  0.959139  0.994637  0.993454  0.974059  0.997860   \n",
       "Gifu       0.943845  0.971355  0.993341  0.991817  0.980294  0.996079   \n",
       "Shizuoka   0.909037  0.948469  0.983803  0.986185  0.958441  0.989577   \n",
       "Aichi      0.921823  0.952408  0.990205  0.995570  0.967485  0.992875   \n",
       "Mie        0.978148  0.994094  0.986055  0.974016  0.993258  0.986387   \n",
       "Shiga      0.949980  0.976786  0.991436  0.987504  0.981829  0.994822   \n",
       "Kyoto      0.911547  0.941141  0.986684  0.994826  0.961216  0.986949   \n",
       "Osaka      0.924021  0.945208  0.984656  0.994508  0.964241  0.983440   \n",
       "Hyogo      0.994968  0.989077  0.953103  0.937014  0.981534  0.947523   \n",
       "Nara       0.918455  0.949695  0.993005  0.997369  0.969749  0.993644   \n",
       "Wakayama   0.954456  0.980535  0.978895  0.972121  0.975072  0.983954   \n",
       "Tottori    0.961325  0.978726  0.995161  0.991342  0.990862  0.993986   \n",
       "Shimane    0.962193  0.981112  0.997259  0.990289  0.994544  0.995333   \n",
       "Okayama    0.942285  0.971134  0.992404  0.990485  0.979051  0.995445   \n",
       "Hiroshima  0.915662  0.948223  0.988473  0.994406  0.963692  0.991360   \n",
       "Yamaguchi  0.972752  0.992149  0.984401  0.972819  0.988801  0.986585   \n",
       "Tokushima  0.939124  0.973701  0.983904  0.976417  0.973211  0.990203   \n",
       "Kagawa     0.939856  0.970893  0.990309  0.987536  0.976578  0.994631   \n",
       "Ehime      0.950980  0.977475  0.980899  0.976227  0.974106  0.986261   \n",
       "Kochi      0.937957  0.968513  0.983770  0.982273  0.970357  0.988677   \n",
       "Fukuoka    0.929341  0.961627  0.971900  0.971048  0.957109  0.980521   \n",
       "Saga       0.945681  0.977099  0.991050  0.983942  0.981315  0.995625   \n",
       "Nagasaki   0.969379  0.986424  0.992086  0.983798  0.993477  0.990412   \n",
       "Kumamoto   0.927043  0.962443  0.993192  0.991107  0.974066  0.997352   \n",
       "Oita       0.981225  0.995859  0.983558  0.969663  0.993668  0.983389   \n",
       "Miyazaki   0.974799  0.985439  0.991243  0.982871  0.996322  0.987644   \n",
       "Kagoshima  0.966304  0.988932  0.987221  0.977012  0.987716  0.989881   \n",
       "Okinawa    0.930259  0.942309  0.984786  0.992574  0.970265  0.979328   \n",
       "\n",
       "Pref       Fukushima   Ibaraki   Tochigi     Gunma    ...        Ehime  \\\n",
       "Pref                                                  ...                \n",
       "Hokkaido    0.940955  0.928415  0.918560  0.920831    ...     0.950980   \n",
       "Aomori      0.970735  0.962769  0.954915  0.957785    ...     0.977475   \n",
       "Iwate       0.994181  0.992117  0.992583  0.981639    ...     0.980899   \n",
       "Miyagi      0.991157  0.990544  0.993368  0.981341    ...     0.976227   \n",
       "Akita       0.980466  0.973543  0.969767  0.961472    ...     0.974106   \n",
       "Yamagata    0.997605  0.996868  0.996703  0.989304    ...     0.986261   \n",
       "Fukushima   1.000000  0.999175  0.997492  0.995720    ...     0.993984   \n",
       "Ibaraki     0.999175  1.000000  0.999043  0.997413    ...     0.992193   \n",
       "Tochigi     0.997492  0.999043  1.000000  0.995688    ...     0.988672   \n",
       "Gunma       0.995720  0.997413  0.995688  1.000000    ...     0.994858   \n",
       "Saitama     0.962664  0.967346  0.976544  0.960123    ...     0.943050   \n",
       "Chiba       0.970997  0.973961  0.981383  0.965913    ...     0.951795   \n",
       "Tokyo       0.945272  0.949005  0.960238  0.938893    ...     0.922901   \n",
       "Kanagawa    0.965742  0.970023  0.978950  0.964304    ...     0.950046   \n",
       "Niigata     0.995489  0.991715  0.989554  0.985207    ...     0.991559   \n",
       "Toyama      0.997965  0.999112  0.998017  0.997649    ...     0.990727   \n",
       "Ishikawa    0.992662  0.988883  0.985550  0.987061    ...     0.996524   \n",
       "Fukui       0.999155  0.997360  0.995427  0.993525    ...     0.995069   \n",
       "Yamanashi   0.995356  0.997533  0.999233  0.995775    ...     0.987964   \n",
       "Nagano      0.997511  0.998482  0.999508  0.994234    ...     0.988905   \n",
       "Gifu        0.999178  0.997920  0.996804  0.995180    ...     0.995634   \n",
       "Shizuoka    0.992790  0.995109  0.996756  0.995945    ...     0.989904   \n",
       "Aichi       0.995643  0.996089  0.997582  0.993366    ...     0.989227   \n",
       "Mie         0.989367  0.983972  0.979401  0.979930    ...     0.992331   \n",
       "Shiga       0.998687  0.997135  0.994958  0.995374    ...     0.997581   \n",
       "Kyoto       0.987421  0.987898  0.992118  0.983573    ...     0.980102   \n",
       "Osaka       0.985818  0.984254  0.987251  0.979260    ...     0.979563   \n",
       "Hyogo       0.951038  0.939985  0.933708  0.933518    ...     0.962005   \n",
       "Nara        0.992837  0.993167  0.996326  0.987542    ...     0.983336   \n",
       "Wakayama    0.991295  0.988972  0.985407  0.991850    ...     0.999151   \n",
       "Tottori     0.994942  0.990680  0.988589  0.983033    ...     0.988221   \n",
       "Shimane     0.993724  0.989374  0.987847  0.980150    ...     0.985855   \n",
       "Okayama     0.998437  0.997464  0.996768  0.995423    ...     0.996190   \n",
       "Hiroshima   0.993850  0.994726  0.996991  0.992549    ...     0.987845   \n",
       "Yamaguchi   0.990946  0.986574  0.981891  0.984906    ...     0.995687   \n",
       "Tokushima   0.994620  0.994489  0.992155  0.996071    ...     0.997105   \n",
       "Kagawa      0.998432  0.997942  0.996728  0.997262    ...     0.997242   \n",
       "Ehime       0.993984  0.992193  0.988672  0.994858    ...     1.000000   \n",
       "Kochi       0.994631  0.994018  0.992923  0.995967    ...     0.998159   \n",
       "Fukuoka     0.990923  0.991435  0.987802  0.997398    ...     0.996973   \n",
       "Saga        0.998314  0.997409  0.995060  0.995709    ...     0.996397   \n",
       "Nagasaki    0.990413  0.985523  0.983918  0.978943    ...     0.989271   \n",
       "Kumamoto    0.998463  0.999196  0.999239  0.996363    ...     0.991815   \n",
       "Oita        0.985838  0.979960  0.975245  0.975619    ...     0.989930   \n",
       "Miyazaki    0.986920  0.980549  0.977553  0.970344    ...     0.980994   \n",
       "Kagoshima   0.993700  0.990277  0.986439  0.988602    ...     0.996937   \n",
       "Okinawa     0.977918  0.973784  0.975355  0.961051    ...     0.961700   \n",
       "\n",
       "Pref          Kochi   Fukuoka      Saga  Nagasaki  Kumamoto      Oita  \\\n",
       "Pref                                                                    \n",
       "Hokkaido   0.937957  0.929341  0.945681  0.969379  0.927043  0.981225   \n",
       "Aomori     0.968513  0.961627  0.977099  0.986424  0.962443  0.995859   \n",
       "Iwate      0.983770  0.971900  0.991050  0.992086  0.993192  0.983558   \n",
       "Miyagi     0.982273  0.971048  0.983942  0.983798  0.991107  0.969663   \n",
       "Akita      0.970357  0.957109  0.981315  0.993477  0.974066  0.993668   \n",
       "Yamagata   0.988677  0.980521  0.995625  0.990412  0.997352  0.983389   \n",
       "Fukushima  0.994631  0.990923  0.998314  0.990413  0.998463  0.985838   \n",
       "Ibaraki    0.994018  0.991435  0.997409  0.985523  0.999196  0.979960   \n",
       "Tochigi    0.992923  0.987802  0.995060  0.983918  0.999239  0.975245   \n",
       "Gunma      0.995967  0.997398  0.995709  0.978943  0.996363  0.975619   \n",
       "Saitama    0.958578  0.944588  0.952444  0.945359  0.970491  0.919916   \n",
       "Chiba      0.964584  0.951963  0.960043  0.955479  0.975774  0.932350   \n",
       "Tokyo      0.940632  0.922171  0.932124  0.932604  0.952919  0.902601   \n",
       "Kanagawa   0.965341  0.950802  0.957485  0.952090  0.974176  0.927932   \n",
       "Niigata    0.990799  0.981722  0.995275  0.998535  0.992193  0.995576   \n",
       "Toyama     0.992430  0.992065  0.995100  0.980899  0.997913  0.974927   \n",
       "Ishikawa   0.994401  0.988208  0.994791  0.997007  0.989403  0.997169   \n",
       "Fukui      0.995027  0.989806  0.998570  0.994435  0.997344  0.990912   \n",
       "Yamanashi  0.993689  0.988346  0.993156  0.980910  0.998616  0.970966   \n",
       "Nagano     0.993341  0.986272  0.995770  0.986996  0.999489  0.978399   \n",
       "Gifu       0.996830  0.991610  0.997688  0.992754  0.997790  0.987572   \n",
       "Shizuoka   0.995889  0.990825  0.992368  0.979993  0.997045  0.970861   \n",
       "Aichi      0.993976  0.987740  0.991588  0.985460  0.996477  0.975060   \n",
       "Mie        0.988112  0.980852  0.992096  0.997109  0.983926  0.999592   \n",
       "Shiga      0.997312  0.993351  0.998667  0.993456  0.996825  0.990696   \n",
       "Kyoto      0.988442  0.976571  0.982601  0.982518  0.990582  0.967414   \n",
       "Osaka      0.985688  0.974506  0.979345  0.984057  0.985593  0.970019   \n",
       "Hyogo      0.953999  0.940807  0.955226  0.980883  0.940818  0.987064   \n",
       "Nara       0.990359  0.979225  0.988658  0.986382  0.995214  0.973156   \n",
       "Wakayama   0.997379  0.994636  0.995226  0.990198  0.989603  0.991512   \n",
       "Tottori    0.987274  0.979121  0.991676  0.995748  0.989952  0.991033   \n",
       "Shimane    0.985718  0.974594  0.991744  0.997214  0.989758  0.992263   \n",
       "Okayama    0.998150  0.992147  0.997913  0.993112  0.998161  0.987649   \n",
       "Hiroshima  0.993999  0.986721  0.990153  0.983829  0.996108  0.972117   \n",
       "Yamaguchi  0.991657  0.986784  0.994452  0.995612  0.986723  0.998504   \n",
       "Tokushima  0.997350  0.994668  0.998375  0.987192  0.995407  0.986545   \n",
       "Kagawa     0.998660  0.994452  0.998749  0.990974  0.998398  0.986805   \n",
       "Ehime      0.998159  0.996973  0.996397  0.989271  0.991815  0.989930   \n",
       "Kochi      1.000000  0.995589  0.996156  0.989045  0.995138  0.985302   \n",
       "Fukuoka    0.995589  1.000000  0.992381  0.976889  0.990010  0.977042   \n",
       "Saga       0.996156  0.992381  1.000000  0.991242  0.997444  0.989606   \n",
       "Nagasaki   0.989045  0.976889  0.991242  1.000000  0.987392  0.996600   \n",
       "Kumamoto   0.995138  0.990010  0.997444  0.987392  1.000000  0.980392   \n",
       "Oita       0.985302  0.977042  0.989606  0.996600  0.980392  1.000000   \n",
       "Miyazaki   0.978056  0.966960  0.984837  0.995649  0.979859  0.993382   \n",
       "Kagoshima  0.994375  0.989128  0.996791  0.995942  0.990692  0.997223   \n",
       "Okinawa    0.964851  0.952587  0.966971  0.977144  0.972589  0.963183   \n",
       "\n",
       "Pref       Miyazaki  Kagoshima   Okinawa  \n",
       "Pref                                      \n",
       "Hokkaido   0.974799   0.966304  0.930259  \n",
       "Aomori     0.985439   0.988932  0.942309  \n",
       "Iwate      0.991243   0.987221  0.984786  \n",
       "Miyagi     0.982871   0.977012  0.992574  \n",
       "Akita      0.996322   0.987716  0.970265  \n",
       "Yamagata   0.987644   0.989881  0.979328  \n",
       "Fukushima  0.986920   0.993700  0.977918  \n",
       "Ibaraki    0.980549   0.990277  0.973784  \n",
       "Tochigi    0.977553   0.986439  0.975355  \n",
       "Gunma      0.970344   0.988602  0.961051  \n",
       "Saitama    0.936268   0.936637  0.966872  \n",
       "Chiba      0.950396   0.946541  0.979251  \n",
       "Tokyo      0.925142   0.917446  0.965138  \n",
       "Kanagawa   0.939842   0.944003  0.965491  \n",
       "Niigata    0.996128   0.996965  0.979729  \n",
       "Toyama     0.976270   0.986845  0.973092  \n",
       "Ishikawa   0.990724   0.999284  0.968849  \n",
       "Fukui      0.990388   0.996589  0.977529  \n",
       "Yamanashi  0.971572   0.983991  0.971093  \n",
       "Nagano     0.980006   0.988386  0.975266  \n",
       "Gifu       0.988003   0.994704  0.979769  \n",
       "Shizuoka   0.966825   0.984601  0.963095  \n",
       "Aichi      0.979285   0.985303  0.982690  \n",
       "Mie        0.994402   0.998263  0.967459  \n",
       "Shiga      0.988156   0.997088  0.974870  \n",
       "Kyoto      0.973331   0.977208  0.982003  \n",
       "Osaka      0.979102   0.976870  0.989768  \n",
       "Hyogo      0.980605   0.974591  0.944106  \n",
       "Nara       0.979239   0.982307  0.983668  \n",
       "Wakayama   0.979853   0.997462  0.956511  \n",
       "Tottori    0.997338   0.992429  0.988833  \n",
       "Shimane    0.997762   0.992671  0.985486  \n",
       "Okayama    0.985956   0.995233  0.976182  \n",
       "Hiroshima  0.975200   0.983498  0.979241  \n",
       "Yamaguchi  0.990317   0.999540  0.962781  \n",
       "Tokushima  0.976113   0.995587  0.954675  \n",
       "Kagawa     0.982981   0.995445  0.971133  \n",
       "Ehime      0.980994   0.996937  0.961700  \n",
       "Kochi      0.978056   0.994375  0.964851  \n",
       "Fukuoka    0.966960   0.989128  0.952587  \n",
       "Saga       0.984837   0.996791  0.966971  \n",
       "Nagasaki   0.995649   0.995942  0.977144  \n",
       "Kumamoto   0.979859   0.990692  0.972589  \n",
       "Oita       0.993382   0.997223  0.963183  \n",
       "Miyazaki   1.000000   0.989660  0.984687  \n",
       "Kagoshima  0.989660   1.000000  0.964749  \n",
       "Okinawa    0.984687   0.964749  1.000000  \n",
       "\n",
       "[47 rows x 47 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 相関行列\n",
    "pd.DataFrame(np.corrcoef(df.dropna().iloc[:, :].as_matrix().tolist()), \n",
    "             columns=df.index, index=df.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AZavpg5mZmZmZmZl1M1UzIiUiji9zfmLB7fHF55WtRjsM+F4r1/6bbFvjQrcW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MzaVUlrj1RKnkXVUkgJ4FlgPeBiSQdGxOL83NXABEkbRMRsspEl1xWu3Rr4Bc09BpzeznOu0nXf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DSyPamQv1YcTKBjWvVWZsKf2/ewJfIwJmlnfm8hp7LwB+6u4zKnQ7HZZHq0zzVKJzeR+dp3se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\n4k8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d04e7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrcoef = np.corrcoef(df.dropna().iloc[:, :].as_matrix().tolist())\n",
    "fig = plt.figure(figsize=(12, 10))\n",
    "plt.imshow(corrcoef, interpolation='nearest', cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "tick_marks = np.arange(len(corrcoef))\n",
    "plt.xticks(tick_marks, df.index, rotation=90)\n",
    "plt.yticks(tick_marks, df.index)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>NonRep</th>\n",
       "      <th>OverMin</th>\n",
       "      <th>Rent</th>\n",
       "      <th>HomeOwn</th>\n",
       "      <th>CompPol</th>\n",
       "      <th>NumClime</th>\n",
       "      <th>NumLarc</th>\n",
       "      <th>TrafAcci</th>\n",
       "      <th>Fire</th>\n",
       "      <th>DspRubb</th>\n",
       "      <th>...</th>\n",
       "      <th>Sunshine</th>\n",
       "      <th>NumMat</th>\n",
       "      <th>AreaResi</th>\n",
       "      <th>Transpt</th>\n",
       "      <th>AreaPark</th>\n",
       "      <th>Sewarage</th>\n",
       "      <th>Recycle</th>\n",
       "      <th>AmtRubb</th>\n",
       "      <th>AvgMin</th>\n",
       "      <th>Pavement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NonRep</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.110529</td>\n",
       "      <td>-0.101532</td>\n",
       "      <td>-0.119425</td>\n",
       "      <td>-0.232210</td>\n",
       "      <td>-0.165721</td>\n",
       "      <td>-0.024362</td>\n",
       "      <td>-0.239581</td>\n",
       "      <td>0.138387</td>\n",
       "      <td>-0.109146</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.032424</td>\n",
       "      <td>-0.006240</td>\n",
       "      <td>0.103259</td>\n",
       "      <td>0.106801</td>\n",
       "      <td>0.199225</td>\n",
       "      <td>-0.152304</td>\n",
       "      <td>-0.176556</td>\n",
       "      <td>-0.045065</td>\n",
       "      <td>-0.224092</td>\n",
       "      <td>0.011666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverMin</th>\n",
       "      <td>-0.110529</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.815368</td>\n",
       "      <td>0.859007</td>\n",
       "      <td>-0.305812</td>\n",
       "      <td>-0.583851</td>\n",
       "      <td>-0.647593</td>\n",
       "      <td>-0.031722</td>\n",
       "      <td>0.335028</td>\n",
       "      <td>-0.257343</td>\n",
       "      <td>...</td>\n",
       "      <td>0.654443</td>\n",
       "      <td>0.809590</td>\n",
       "      <td>0.649520</td>\n",
       "      <td>-0.398914</td>\n",
       "      <td>0.434398</td>\n",
       "      <td>-0.652436</td>\n",
       "      <td>0.230194</td>\n",
       "      <td>-0.182505</td>\n",
       "      <td>-0.587400</td>\n",
       "      <td>-0.677050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rent</th>\n",
       "      <td>-0.101532</td>\n",
       "      <td>-0.815368</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.702218</td>\n",
       "      <td>0.374497</td>\n",
       "      <td>0.692562</td>\n",
       "      <td>0.560380</td>\n",
       "      <td>0.175525</td>\n",
       "      <td>-0.335108</td>\n",
       "      <td>0.360928</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.619212</td>\n",
       "      <td>-0.577670</td>\n",
       "      <td>-0.507189</td>\n",
       "      <td>0.377264</td>\n",
       "      <td>-0.481145</td>\n",
       "      <td>0.739477</td>\n",
       "      <td>0.104236</td>\n",
       "      <td>0.153990</td>\n",
       "      <td>0.805577</td>\n",
       "      <td>0.548556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HomeOwn</th>\n",
       "      <td>-0.119425</td>\n",
       "      <td>0.859007</td>\n",
       "      <td>-0.702218</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.268300</td>\n",
       "      <td>-0.481268</td>\n",
       "      <td>-0.608404</td>\n",
       "      <td>-0.105420</td>\n",
       "      <td>0.355555</td>\n",
       "      <td>-0.073719</td>\n",
       "      <td>...</td>\n",
       "      <td>0.651371</td>\n",
       "      <td>0.732096</td>\n",
       "      <td>0.650671</td>\n",
       "      <td>-0.497908</td>\n",
       "      <td>0.245703</td>\n",
       "      <td>-0.726973</td>\n",
       "      <td>0.288859</td>\n",
       "      <td>-0.311068</td>\n",
       "      <td>-0.529916</td>\n",
       "      <td>-0.570858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CompPol</th>\n",
       "      <td>-0.232210</td>\n",
       "      <td>-0.305812</td>\n",
       "      <td>0.374497</td>\n",
       "      <td>-0.268300</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.187540</td>\n",
       "      <td>0.193997</td>\n",
       "      <td>0.322823</td>\n",
       "      <td>0.033263</td>\n",
       "      <td>0.245359</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034850</td>\n",
       "      <td>-0.372956</td>\n",
       "      <td>-0.364463</td>\n",
       "      <td>-0.219886</td>\n",
       "      <td>-0.417345</td>\n",
       "      <td>0.213781</td>\n",
       "      <td>0.238792</td>\n",
       "      <td>-0.001798</td>\n",
       "      <td>0.430505</td>\n",
       "      <td>0.116044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumClime</th>\n",
       "      <td>-0.165721</td>\n",
       "      <td>-0.583851</td>\n",
       "      <td>0.692562</td>\n",
       "      <td>-0.481268</td>\n",
       "      <td>0.187540</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.462426</td>\n",
       "      <td>0.068642</td>\n",
       "      <td>-0.241715</td>\n",
       "      <td>0.309111</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.429000</td>\n",
       "      <td>-0.518124</td>\n",
       "      <td>-0.304864</td>\n",
       "      <td>0.228029</td>\n",
       "      <td>-0.379465</td>\n",
       "      <td>0.429633</td>\n",
       "      <td>-0.001633</td>\n",
       "      <td>-0.079865</td>\n",
       "      <td>0.481630</td>\n",
       "      <td>0.261887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumLarc</th>\n",
       "      <td>-0.024362</td>\n",
       "      <td>-0.647593</td>\n",
       "      <td>0.560380</td>\n",
       "      <td>-0.608404</td>\n",
       "      <td>0.193997</td>\n",
       "      <td>0.462426</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.076333</td>\n",
       "      <td>-0.243967</td>\n",
       "      <td>0.284085</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.466745</td>\n",
       "      <td>-0.506737</td>\n",
       "      <td>-0.278294</td>\n",
       "      <td>0.107785</td>\n",
       "      <td>-0.267303</td>\n",
       "      <td>0.546709</td>\n",
       "      <td>0.039511</td>\n",
       "      <td>0.048163</td>\n",
       "      <td>0.490038</td>\n",
       "      <td>0.439677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TrafAcci</th>\n",
       "      <td>-0.239581</td>\n",
       "      <td>-0.031722</td>\n",
       "      <td>0.175525</td>\n",
       "      <td>-0.105420</td>\n",
       "      <td>0.322823</td>\n",
       "      <td>0.068642</td>\n",
       "      <td>0.076333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.051674</td>\n",
       "      <td>0.299187</td>\n",
       "      <td>...</td>\n",
       "      <td>0.033341</td>\n",
       "      <td>-0.055598</td>\n",
       "      <td>-0.141291</td>\n",
       "      <td>-0.168509</td>\n",
       "      <td>-0.401152</td>\n",
       "      <td>0.085953</td>\n",
       "      <td>0.042051</td>\n",
       "      <td>0.028329</td>\n",
       "      <td>0.215567</td>\n",
       "      <td>-0.003796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fire</th>\n",
       "      <td>0.138387</td>\n",
       "      <td>0.335028</td>\n",
       "      <td>-0.335108</td>\n",
       "      <td>0.355555</td>\n",
       "      <td>0.033263</td>\n",
       "      <td>-0.241715</td>\n",
       "      <td>-0.243967</td>\n",
       "      <td>-0.051674</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.021125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.531183</td>\n",
       "      <td>0.129167</td>\n",
       "      <td>0.486350</td>\n",
       "      <td>-0.385563</td>\n",
       "      <td>0.210601</td>\n",
       "      <td>-0.456012</td>\n",
       "      <td>0.270003</td>\n",
       "      <td>-0.184735</td>\n",
       "      <td>-0.325480</td>\n",
       "      <td>-0.375884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DspRubb</th>\n",
       "      <td>-0.109146</td>\n",
       "      <td>-0.257343</td>\n",
       "      <td>0.360928</td>\n",
       "      <td>-0.073719</td>\n",
       "      <td>0.245359</td>\n",
       "      <td>0.309111</td>\n",
       "      <td>0.284085</td>\n",
       "      <td>0.299187</td>\n",
       "      <td>0.021125</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052171</td>\n",
       "      <td>-0.251970</td>\n",
       "      <td>-0.052499</td>\n",
       "      <td>-0.116998</td>\n",
       "      <td>-0.564799</td>\n",
       "      <td>0.052476</td>\n",
       "      <td>0.416914</td>\n",
       "      <td>-0.621829</td>\n",
       "      <td>0.385439</td>\n",
       "      <td>0.239702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sidewalk</th>\n",
       "      <td>0.109900</td>\n",
       "      <td>-0.570085</td>\n",
       "      <td>0.440115</td>\n",
       "      <td>-0.636986</td>\n",
       "      <td>-0.077704</td>\n",
       "      <td>0.329577</td>\n",
       "      <td>0.605952</td>\n",
       "      <td>-0.240657</td>\n",
       "      <td>-0.332218</td>\n",
       "      <td>-0.087841</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.644849</td>\n",
       "      <td>-0.366169</td>\n",
       "      <td>-0.308143</td>\n",
       "      <td>0.478489</td>\n",
       "      <td>0.083688</td>\n",
       "      <td>0.664294</td>\n",
       "      <td>-0.300921</td>\n",
       "      <td>0.297209</td>\n",
       "      <td>0.298661</td>\n",
       "      <td>0.617484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MedFacil</th>\n",
       "      <td>-0.123396</td>\n",
       "      <td>-0.789458</td>\n",
       "      <td>0.732584</td>\n",
       "      <td>-0.811927</td>\n",
       "      <td>0.322297</td>\n",
       "      <td>0.452314</td>\n",
       "      <td>0.544918</td>\n",
       "      <td>0.222074</td>\n",
       "      <td>-0.500119</td>\n",
       "      <td>0.178667</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.739708</td>\n",
       "      <td>-0.602521</td>\n",
       "      <td>-0.789977</td>\n",
       "      <td>0.512694</td>\n",
       "      <td>-0.358547</td>\n",
       "      <td>0.721005</td>\n",
       "      <td>-0.227939</td>\n",
       "      <td>0.325385</td>\n",
       "      <td>0.606221</td>\n",
       "      <td>0.711647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverOrd</th>\n",
       "      <td>0.030921</td>\n",
       "      <td>0.841950</td>\n",
       "      <td>-0.621736</td>\n",
       "      <td>0.749379</td>\n",
       "      <td>-0.411705</td>\n",
       "      <td>-0.551721</td>\n",
       "      <td>-0.511028</td>\n",
       "      <td>-0.134822</td>\n",
       "      <td>0.198471</td>\n",
       "      <td>-0.288879</td>\n",
       "      <td>...</td>\n",
       "      <td>0.347852</td>\n",
       "      <td>0.981755</td>\n",
       "      <td>0.601846</td>\n",
       "      <td>-0.122375</td>\n",
       "      <td>0.485633</td>\n",
       "      <td>-0.417699</td>\n",
       "      <td>0.153506</td>\n",
       "      <td>-0.055518</td>\n",
       "      <td>-0.491764</td>\n",
       "      <td>-0.479586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunshine</th>\n",
       "      <td>-0.032424</td>\n",
       "      <td>0.654443</td>\n",
       "      <td>-0.619212</td>\n",
       "      <td>0.651371</td>\n",
       "      <td>-0.034850</td>\n",
       "      <td>-0.429000</td>\n",
       "      <td>-0.466745</td>\n",
       "      <td>0.033341</td>\n",
       "      <td>0.531183</td>\n",
       "      <td>0.052171</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.315737</td>\n",
       "      <td>0.671132</td>\n",
       "      <td>-0.688192</td>\n",
       "      <td>0.164938</td>\n",
       "      <td>-0.721119</td>\n",
       "      <td>0.405222</td>\n",
       "      <td>-0.449767</td>\n",
       "      <td>-0.567962</td>\n",
       "      <td>-0.631671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumMat</th>\n",
       "      <td>-0.006240</td>\n",
       "      <td>0.809590</td>\n",
       "      <td>-0.577670</td>\n",
       "      <td>0.732096</td>\n",
       "      <td>-0.372956</td>\n",
       "      <td>-0.518124</td>\n",
       "      <td>-0.506737</td>\n",
       "      <td>-0.055598</td>\n",
       "      <td>0.129167</td>\n",
       "      <td>-0.251970</td>\n",
       "      <td>...</td>\n",
       "      <td>0.315737</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.518617</td>\n",
       "      <td>-0.107467</td>\n",
       "      <td>0.427450</td>\n",
       "      <td>-0.417325</td>\n",
       "      <td>0.120037</td>\n",
       "      <td>-0.066589</td>\n",
       "      <td>-0.475717</td>\n",
       "      <td>-0.445027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AreaResi</th>\n",
       "      <td>0.103259</td>\n",
       "      <td>0.649520</td>\n",
       "      <td>-0.507189</td>\n",
       "      <td>0.650671</td>\n",
       "      <td>-0.364463</td>\n",
       "      <td>-0.304864</td>\n",
       "      <td>-0.278294</td>\n",
       "      <td>-0.141291</td>\n",
       "      <td>0.486350</td>\n",
       "      <td>-0.052499</td>\n",
       "      <td>...</td>\n",
       "      <td>0.671132</td>\n",
       "      <td>0.518617</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.495494</td>\n",
       "      <td>0.379794</td>\n",
       "      <td>-0.470946</td>\n",
       "      <td>0.355798</td>\n",
       "      <td>-0.264593</td>\n",
       "      <td>-0.477433</td>\n",
       "      <td>-0.614682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Transpt</th>\n",
       "      <td>0.106801</td>\n",
       "      <td>-0.398914</td>\n",
       "      <td>0.377264</td>\n",
       "      <td>-0.497908</td>\n",
       "      <td>-0.219886</td>\n",
       "      <td>0.228029</td>\n",
       "      <td>0.107785</td>\n",
       "      <td>-0.168509</td>\n",
       "      <td>-0.385563</td>\n",
       "      <td>-0.116998</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.688192</td>\n",
       "      <td>-0.107467</td>\n",
       "      <td>-0.495494</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.026411</td>\n",
       "      <td>0.487938</td>\n",
       "      <td>-0.436826</td>\n",
       "      <td>0.408156</td>\n",
       "      <td>0.264131</td>\n",
       "      <td>0.468986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AreaPark</th>\n",
       "      <td>0.199225</td>\n",
       "      <td>0.434398</td>\n",
       "      <td>-0.481145</td>\n",
       "      <td>0.245703</td>\n",
       "      <td>-0.417345</td>\n",
       "      <td>-0.379465</td>\n",
       "      <td>-0.267303</td>\n",
       "      <td>-0.401152</td>\n",
       "      <td>0.210601</td>\n",
       "      <td>-0.564799</td>\n",
       "      <td>...</td>\n",
       "      <td>0.164938</td>\n",
       "      <td>0.427450</td>\n",
       "      <td>0.379794</td>\n",
       "      <td>0.026411</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.110887</td>\n",
       "      <td>-0.065608</td>\n",
       "      <td>0.185767</td>\n",
       "      <td>-0.454130</td>\n",
       "      <td>-0.354230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sewarage</th>\n",
       "      <td>-0.152304</td>\n",
       "      <td>-0.652436</td>\n",
       "      <td>0.739477</td>\n",
       "      <td>-0.726973</td>\n",
       "      <td>0.213781</td>\n",
       "      <td>0.429633</td>\n",
       "      <td>0.546709</td>\n",
       "      <td>0.085953</td>\n",
       "      <td>-0.456012</td>\n",
       "      <td>0.052476</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.721119</td>\n",
       "      <td>-0.417325</td>\n",
       "      <td>-0.470946</td>\n",
       "      <td>0.487938</td>\n",
       "      <td>-0.110887</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.067907</td>\n",
       "      <td>0.403357</td>\n",
       "      <td>0.711380</td>\n",
       "      <td>0.480201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Recycle</th>\n",
       "      <td>-0.176556</td>\n",
       "      <td>0.230194</td>\n",
       "      <td>0.104236</td>\n",
       "      <td>0.288859</td>\n",
       "      <td>0.238792</td>\n",
       "      <td>-0.001633</td>\n",
       "      <td>0.039511</td>\n",
       "      <td>0.042051</td>\n",
       "      <td>0.270003</td>\n",
       "      <td>0.416914</td>\n",
       "      <td>...</td>\n",
       "      <td>0.405222</td>\n",
       "      <td>0.120037</td>\n",
       "      <td>0.355798</td>\n",
       "      <td>-0.436826</td>\n",
       "      <td>-0.065608</td>\n",
       "      <td>-0.067907</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.452109</td>\n",
       "      <td>0.283089</td>\n",
       "      <td>-0.289639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AmtRubb</th>\n",
       "      <td>-0.045065</td>\n",
       "      <td>-0.182505</td>\n",
       "      <td>0.153990</td>\n",
       "      <td>-0.311068</td>\n",
       "      <td>-0.001798</td>\n",
       "      <td>-0.079865</td>\n",
       "      <td>0.048163</td>\n",
       "      <td>0.028329</td>\n",
       "      <td>-0.184735</td>\n",
       "      <td>-0.621829</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.449767</td>\n",
       "      <td>-0.066589</td>\n",
       "      <td>-0.264593</td>\n",
       "      <td>0.408156</td>\n",
       "      <td>0.185767</td>\n",
       "      <td>0.403357</td>\n",
       "      <td>-0.452109</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.140968</td>\n",
       "      <td>0.243804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AvgMin</th>\n",
       "      <td>-0.224092</td>\n",
       "      <td>-0.587400</td>\n",
       "      <td>0.805577</td>\n",
       "      <td>-0.529916</td>\n",
       "      <td>0.430505</td>\n",
       "      <td>0.481630</td>\n",
       "      <td>0.490038</td>\n",
       "      <td>0.215567</td>\n",
       "      <td>-0.325480</td>\n",
       "      <td>0.385439</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.567962</td>\n",
       "      <td>-0.475717</td>\n",
       "      <td>-0.477433</td>\n",
       "      <td>0.264131</td>\n",
       "      <td>-0.454130</td>\n",
       "      <td>0.711380</td>\n",
       "      <td>0.283089</td>\n",
       "      <td>0.140968</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.440712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pavement</th>\n",
       "      <td>0.011666</td>\n",
       "      <td>-0.677050</td>\n",
       "      <td>0.548556</td>\n",
       "      <td>-0.570858</td>\n",
       "      <td>0.116044</td>\n",
       "      <td>0.261887</td>\n",
       "      <td>0.439677</td>\n",
       "      <td>-0.003796</td>\n",
       "      <td>-0.375884</td>\n",
       "      <td>0.239702</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.631671</td>\n",
       "      <td>-0.445027</td>\n",
       "      <td>-0.614682</td>\n",
       "      <td>0.468986</td>\n",
       "      <td>-0.354230</td>\n",
       "      <td>0.480201</td>\n",
       "      <td>-0.289639</td>\n",
       "      <td>0.243804</td>\n",
       "      <td>0.440712</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            NonRep   OverMin      Rent   HomeOwn   CompPol  NumClime  \\\n",
       "NonRep    1.000000 -0.110529 -0.101532 -0.119425 -0.232210 -0.165721   \n",
       "OverMin  -0.110529  1.000000 -0.815368  0.859007 -0.305812 -0.583851   \n",
       "Rent     -0.101532 -0.815368  1.000000 -0.702218  0.374497  0.692562   \n",
       "HomeOwn  -0.119425  0.859007 -0.702218  1.000000 -0.268300 -0.481268   \n",
       "CompPol  -0.232210 -0.305812  0.374497 -0.268300  1.000000  0.187540   \n",
       "NumClime -0.165721 -0.583851  0.692562 -0.481268  0.187540  1.000000   \n",
       "NumLarc  -0.024362 -0.647593  0.560380 -0.608404  0.193997  0.462426   \n",
       "TrafAcci -0.239581 -0.031722  0.175525 -0.105420  0.322823  0.068642   \n",
       "Fire      0.138387  0.335028 -0.335108  0.355555  0.033263 -0.241715   \n",
       "DspRubb  -0.109146 -0.257343  0.360928 -0.073719  0.245359  0.309111   \n",
       "Sidewalk  0.109900 -0.570085  0.440115 -0.636986 -0.077704  0.329577   \n",
       "MedFacil -0.123396 -0.789458  0.732584 -0.811927  0.322297  0.452314   \n",
       "OverOrd   0.030921  0.841950 -0.621736  0.749379 -0.411705 -0.551721   \n",
       "Sunshine -0.032424  0.654443 -0.619212  0.651371 -0.034850 -0.429000   \n",
       "NumMat   -0.006240  0.809590 -0.577670  0.732096 -0.372956 -0.518124   \n",
       "AreaResi  0.103259  0.649520 -0.507189  0.650671 -0.364463 -0.304864   \n",
       "Transpt   0.106801 -0.398914  0.377264 -0.497908 -0.219886  0.228029   \n",
       "AreaPark  0.199225  0.434398 -0.481145  0.245703 -0.417345 -0.379465   \n",
       "Sewarage -0.152304 -0.652436  0.739477 -0.726973  0.213781  0.429633   \n",
       "Recycle  -0.176556  0.230194  0.104236  0.288859  0.238792 -0.001633   \n",
       "AmtRubb  -0.045065 -0.182505  0.153990 -0.311068 -0.001798 -0.079865   \n",
       "AvgMin   -0.224092 -0.587400  0.805577 -0.529916  0.430505  0.481630   \n",
       "Pavement  0.011666 -0.677050  0.548556 -0.570858  0.116044  0.261887   \n",
       "\n",
       "           NumLarc  TrafAcci      Fire   DspRubb    ...     Sunshine  \\\n",
       "NonRep   -0.024362 -0.239581  0.138387 -0.109146    ...    -0.032424   \n",
       "OverMin  -0.647593 -0.031722  0.335028 -0.257343    ...     0.654443   \n",
       "Rent      0.560380  0.175525 -0.335108  0.360928    ...    -0.619212   \n",
       "HomeOwn  -0.608404 -0.105420  0.355555 -0.073719    ...     0.651371   \n",
       "CompPol   0.193997  0.322823  0.033263  0.245359    ...    -0.034850   \n",
       "NumClime  0.462426  0.068642 -0.241715  0.309111    ...    -0.429000   \n",
       "NumLarc   1.000000  0.076333 -0.243967  0.284085    ...    -0.466745   \n",
       "TrafAcci  0.076333  1.000000 -0.051674  0.299187    ...     0.033341   \n",
       "Fire     -0.243967 -0.051674  1.000000  0.021125    ...     0.531183   \n",
       "DspRubb   0.284085  0.299187  0.021125  1.000000    ...     0.052171   \n",
       "Sidewalk  0.605952 -0.240657 -0.332218 -0.087841    ...    -0.644849   \n",
       "MedFacil  0.544918  0.222074 -0.500119  0.178667    ...    -0.739708   \n",
       "OverOrd  -0.511028 -0.134822  0.198471 -0.288879    ...     0.347852   \n",
       "Sunshine -0.466745  0.033341  0.531183  0.052171    ...     1.000000   \n",
       "NumMat   -0.506737 -0.055598  0.129167 -0.251970    ...     0.315737   \n",
       "AreaResi -0.278294 -0.141291  0.486350 -0.052499    ...     0.671132   \n",
       "Transpt   0.107785 -0.168509 -0.385563 -0.116998    ...    -0.688192   \n",
       "AreaPark -0.267303 -0.401152  0.210601 -0.564799    ...     0.164938   \n",
       "Sewarage  0.546709  0.085953 -0.456012  0.052476    ...    -0.721119   \n",
       "Recycle   0.039511  0.042051  0.270003  0.416914    ...     0.405222   \n",
       "AmtRubb   0.048163  0.028329 -0.184735 -0.621829    ...    -0.449767   \n",
       "AvgMin    0.490038  0.215567 -0.325480  0.385439    ...    -0.567962   \n",
       "Pavement  0.439677 -0.003796 -0.375884  0.239702    ...    -0.631671   \n",
       "\n",
       "            NumMat  AreaResi   Transpt  AreaPark  Sewarage   Recycle  \\\n",
       "NonRep   -0.006240  0.103259  0.106801  0.199225 -0.152304 -0.176556   \n",
       "OverMin   0.809590  0.649520 -0.398914  0.434398 -0.652436  0.230194   \n",
       "Rent     -0.577670 -0.507189  0.377264 -0.481145  0.739477  0.104236   \n",
       "HomeOwn   0.732096  0.650671 -0.497908  0.245703 -0.726973  0.288859   \n",
       "CompPol  -0.372956 -0.364463 -0.219886 -0.417345  0.213781  0.238792   \n",
       "NumClime -0.518124 -0.304864  0.228029 -0.379465  0.429633 -0.001633   \n",
       "NumLarc  -0.506737 -0.278294  0.107785 -0.267303  0.546709  0.039511   \n",
       "TrafAcci -0.055598 -0.141291 -0.168509 -0.401152  0.085953  0.042051   \n",
       "Fire      0.129167  0.486350 -0.385563  0.210601 -0.456012  0.270003   \n",
       "DspRubb  -0.251970 -0.052499 -0.116998 -0.564799  0.052476  0.416914   \n",
       "Sidewalk -0.366169 -0.308143  0.478489  0.083688  0.664294 -0.300921   \n",
       "MedFacil -0.602521 -0.789977  0.512694 -0.358547  0.721005 -0.227939   \n",
       "OverOrd   0.981755  0.601846 -0.122375  0.485633 -0.417699  0.153506   \n",
       "Sunshine  0.315737  0.671132 -0.688192  0.164938 -0.721119  0.405222   \n",
       "NumMat    1.000000  0.518617 -0.107467  0.427450 -0.417325  0.120037   \n",
       "AreaResi  0.518617  1.000000 -0.495494  0.379794 -0.470946  0.355798   \n",
       "Transpt  -0.107467 -0.495494  1.000000  0.026411  0.487938 -0.436826   \n",
       "AreaPark  0.427450  0.379794  0.026411  1.000000 -0.110887 -0.065608   \n",
       "Sewarage -0.417325 -0.470946  0.487938 -0.110887  1.000000 -0.067907   \n",
       "Recycle   0.120037  0.355798 -0.436826 -0.065608 -0.067907  1.000000   \n",
       "AmtRubb  -0.066589 -0.264593  0.408156  0.185767  0.403357 -0.452109   \n",
       "AvgMin   -0.475717 -0.477433  0.264131 -0.454130  0.711380  0.283089   \n",
       "Pavement -0.445027 -0.614682  0.468986 -0.354230  0.480201 -0.289639   \n",
       "\n",
       "           AmtRubb    AvgMin  Pavement  \n",
       "NonRep   -0.045065 -0.224092  0.011666  \n",
       "OverMin  -0.182505 -0.587400 -0.677050  \n",
       "Rent      0.153990  0.805577  0.548556  \n",
       "HomeOwn  -0.311068 -0.529916 -0.570858  \n",
       "CompPol  -0.001798  0.430505  0.116044  \n",
       "NumClime -0.079865  0.481630  0.261887  \n",
       "NumLarc   0.048163  0.490038  0.439677  \n",
       "TrafAcci  0.028329  0.215567 -0.003796  \n",
       "Fire     -0.184735 -0.325480 -0.375884  \n",
       "DspRubb  -0.621829  0.385439  0.239702  \n",
       "Sidewalk  0.297209  0.298661  0.617484  \n",
       "MedFacil  0.325385  0.606221  0.711647  \n",
       "OverOrd  -0.055518 -0.491764 -0.479586  \n",
       "Sunshine -0.449767 -0.567962 -0.631671  \n",
       "NumMat   -0.066589 -0.475717 -0.445027  \n",
       "AreaResi -0.264593 -0.477433 -0.614682  \n",
       "Transpt   0.408156  0.264131  0.468986  \n",
       "AreaPark  0.185767 -0.454130 -0.354230  \n",
       "Sewarage  0.403357  0.711380  0.480201  \n",
       "Recycle  -0.452109  0.283089 -0.289639  \n",
       "AmtRubb   1.000000  0.140968  0.243804  \n",
       "AvgMin    0.140968  1.000000  0.440712  \n",
       "Pavement  0.243804  0.440712  1.000000  \n",
       "\n",
       "[23 rows x 23 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 相関行列\n",
    "pd.DataFrame(np.corrcoef(df.dropna().iloc[:, :].T.as_matrix().tolist()), \n",
    "             columns=df.columns, index=df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SJEmSNOZmb0k8CAYlZzf9Tl+A44Gtk3wiyZqtxWj35dkjPnp1DLBJki8n2SDJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e031470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrcoef = np.corrcoef(df.dropna().iloc[:, :].T.as_matrix().tolist())\n",
    "plt.figure(figsize=(12, 10))\n",
    "plt.imshow(corrcoef, interpolation='nearest', cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "tick_marks = np.arange(len(corrcoef))\n",
    "plt.xticks(tick_marks, df.columns, rotation=90)\n",
    "plt.yticks(tick_marks, df.columns)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}