housing_prices.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/ketans/anaconda2/lib/python2.7/site-packages/numpy/lib/function_base.py:3834: RuntimeWarning: Invalid value encountered in percentile\n",
      "  RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1201.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1452.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1379.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "      <td>1460.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>730.500000</td>\n",
       "      <td>56.897260</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>10516.828082</td>\n",
       "      <td>6.099315</td>\n",
       "      <td>5.575342</td>\n",
       "      <td>1971.267808</td>\n",
       "      <td>1984.865753</td>\n",
       "      <td>103.685262</td>\n",
       "      <td>443.639726</td>\n",
       "      <td>46.549315</td>\n",
       "      <td>567.240411</td>\n",
       "      <td>1057.429452</td>\n",
       "      <td>1162.626712</td>\n",
       "      <td>346.992466</td>\n",
       "      <td>5.844521</td>\n",
       "      <td>1515.463699</td>\n",
       "      <td>0.425342</td>\n",
       "      <td>0.057534</td>\n",
       "      <td>1.565068</td>\n",
       "      <td>0.382877</td>\n",
       "      <td>2.866438</td>\n",
       "      <td>1.046575</td>\n",
       "      <td>6.517808</td>\n",
       "      <td>0.613014</td>\n",
       "      <td>1978.506164</td>\n",
       "      <td>1.767123</td>\n",
       "      <td>472.980137</td>\n",
       "      <td>94.244521</td>\n",
       "      <td>46.660274</td>\n",
       "      <td>21.954110</td>\n",
       "      <td>3.409589</td>\n",
       "      <td>15.060959</td>\n",
       "      <td>2.758904</td>\n",
       "      <td>43.489041</td>\n",
       "      <td>6.321918</td>\n",
       "      <td>2007.815753</td>\n",
       "      <td>180921.195890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>421.610009</td>\n",
       "      <td>42.300571</td>\n",
       "      <td>24.284752</td>\n",
       "      <td>9981.264932</td>\n",
       "      <td>1.382997</td>\n",
       "      <td>1.112799</td>\n",
       "      <td>30.202904</td>\n",
       "      <td>20.645407</td>\n",
       "      <td>181.066207</td>\n",
       "      <td>456.098091</td>\n",
       "      <td>161.319273</td>\n",
       "      <td>441.866955</td>\n",
       "      <td>438.705324</td>\n",
       "      <td>386.587738</td>\n",
       "      <td>436.528436</td>\n",
       "      <td>48.623081</td>\n",
       "      <td>525.480383</td>\n",
       "      <td>0.518911</td>\n",
       "      <td>0.238753</td>\n",
       "      <td>0.550916</td>\n",
       "      <td>0.502885</td>\n",
       "      <td>0.815778</td>\n",
       "      <td>0.220338</td>\n",
       "      <td>1.625393</td>\n",
       "      <td>0.644666</td>\n",
       "      <td>24.689725</td>\n",
       "      <td>0.747315</td>\n",
       "      <td>213.804841</td>\n",
       "      <td>125.338794</td>\n",
       "      <td>66.256028</td>\n",
       "      <td>61.119149</td>\n",
       "      <td>29.317331</td>\n",
       "      <td>55.757415</td>\n",
       "      <td>40.177307</td>\n",
       "      <td>496.123024</td>\n",
       "      <td>2.703626</td>\n",
       "      <td>1.328095</td>\n",
       "      <td>79442.502883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1872.000000</td>\n",
       "      <td>1950.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2006.000000</td>\n",
       "      <td>34900.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>365.750000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7553.500000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1954.000000</td>\n",
       "      <td>1967.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>223.000000</td>\n",
       "      <td>795.750000</td>\n",
       "      <td>882.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1129.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>334.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2007.000000</td>\n",
       "      <td>129975.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>730.500000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9478.500000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1973.000000</td>\n",
       "      <td>1994.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>383.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>477.500000</td>\n",
       "      <td>991.500000</td>\n",
       "      <td>1087.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1464.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>480.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "      <td>163000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1095.250000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11601.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>712.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>808.000000</td>\n",
       "      <td>1298.250000</td>\n",
       "      <td>1391.250000</td>\n",
       "      <td>728.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1776.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>576.000000</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>214000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1460.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>313.000000</td>\n",
       "      <td>215245.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>1600.000000</td>\n",
       "      <td>5644.000000</td>\n",
       "      <td>1474.000000</td>\n",
       "      <td>2336.000000</td>\n",
       "      <td>6110.000000</td>\n",
       "      <td>4692.000000</td>\n",
       "      <td>2065.000000</td>\n",
       "      <td>572.000000</td>\n",
       "      <td>5642.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1418.000000</td>\n",
       "      <td>857.000000</td>\n",
       "      <td>547.000000</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>508.000000</td>\n",
       "      <td>480.000000</td>\n",
       "      <td>738.000000</td>\n",
       "      <td>15500.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2010.000000</td>\n",
       "      <td>755000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Id   MSSubClass  LotFrontage        LotArea  OverallQual  \\\n",
       "count  1460.000000  1460.000000  1201.000000    1460.000000  1460.000000   \n",
       "mean    730.500000    56.897260    70.049958   10516.828082     6.099315   \n",
       "std     421.610009    42.300571    24.284752    9981.264932     1.382997   \n",
       "min       1.000000    20.000000    21.000000    1300.000000     1.000000   \n",
       "25%     365.750000    20.000000          NaN    7553.500000     5.000000   \n",
       "50%     730.500000    50.000000          NaN    9478.500000     6.000000   \n",
       "75%    1095.250000    70.000000          NaN   11601.500000     7.000000   \n",
       "max    1460.000000   190.000000   313.000000  215245.000000    10.000000   \n",
       "\n",
       "       OverallCond    YearBuilt  YearRemodAdd   MasVnrArea   BsmtFinSF1  \\\n",
       "count  1460.000000  1460.000000   1460.000000  1452.000000  1460.000000   \n",
       "mean      5.575342  1971.267808   1984.865753   103.685262   443.639726   \n",
       "std       1.112799    30.202904     20.645407   181.066207   456.098091   \n",
       "min       1.000000  1872.000000   1950.000000     0.000000     0.000000   \n",
       "25%       5.000000  1954.000000   1967.000000          NaN     0.000000   \n",
       "50%       5.000000  1973.000000   1994.000000          NaN   383.500000   \n",
       "75%       6.000000  2000.000000   2004.000000          NaN   712.250000   \n",
       "max       9.000000  2010.000000   2010.000000  1600.000000  5644.000000   \n",
       "\n",
       "        BsmtFinSF2    BsmtUnfSF  TotalBsmtSF     1stFlrSF     2ndFlrSF  \\\n",
       "count  1460.000000  1460.000000  1460.000000  1460.000000  1460.000000   \n",
       "mean     46.549315   567.240411  1057.429452  1162.626712   346.992466   \n",
       "std     161.319273   441.866955   438.705324   386.587738   436.528436   \n",
       "min       0.000000     0.000000     0.000000   334.000000     0.000000   \n",
       "25%       0.000000   223.000000   795.750000   882.000000     0.000000   \n",
       "50%       0.000000   477.500000   991.500000  1087.000000     0.000000   \n",
       "75%       0.000000   808.000000  1298.250000  1391.250000   728.000000   \n",
       "max    1474.000000  2336.000000  6110.000000  4692.000000  2065.000000   \n",
       "\n",
       "       LowQualFinSF    GrLivArea  BsmtFullBath  BsmtHalfBath     FullBath  \\\n",
       "count   1460.000000  1460.000000   1460.000000   1460.000000  1460.000000   \n",
       "mean       5.844521  1515.463699      0.425342      0.057534     1.565068   \n",
       "std       48.623081   525.480383      0.518911      0.238753     0.550916   \n",
       "min        0.000000   334.000000      0.000000      0.000000     0.000000   \n",
       "25%        0.000000  1129.500000      0.000000      0.000000     1.000000   \n",
       "50%        0.000000  1464.000000      0.000000      0.000000     2.000000   \n",
       "75%        0.000000  1776.750000      1.000000      0.000000     2.000000   \n",
       "max      572.000000  5642.000000      3.000000      2.000000     3.000000   \n",
       "\n",
       "          HalfBath  BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd   Fireplaces  \\\n",
       "count  1460.000000   1460.000000   1460.000000   1460.000000  1460.000000   \n",
       "mean      0.382877      2.866438      1.046575      6.517808     0.613014   \n",
       "std       0.502885      0.815778      0.220338      1.625393     0.644666   \n",
       "min       0.000000      0.000000      0.000000      2.000000     0.000000   \n",
       "25%       0.000000      2.000000      1.000000      5.000000     0.000000   \n",
       "50%       0.000000      3.000000      1.000000      6.000000     1.000000   \n",
       "75%       1.000000      3.000000      1.000000      7.000000     1.000000   \n",
       "max       2.000000      8.000000      3.000000     14.000000     3.000000   \n",
       "\n",
       "       GarageYrBlt   GarageCars   GarageArea   WoodDeckSF  OpenPorchSF  \\\n",
       "count  1379.000000  1460.000000  1460.000000  1460.000000  1460.000000   \n",
       "mean   1978.506164     1.767123   472.980137    94.244521    46.660274   \n",
       "std      24.689725     0.747315   213.804841   125.338794    66.256028   \n",
       "min    1900.000000     0.000000     0.000000     0.000000     0.000000   \n",
       "25%            NaN     1.000000   334.500000     0.000000     0.000000   \n",
       "50%            NaN     2.000000   480.000000     0.000000    25.000000   \n",
       "75%            NaN     2.000000   576.000000   168.000000    68.000000   \n",
       "max    2010.000000     4.000000  1418.000000   857.000000   547.000000   \n",
       "\n",
       "       EnclosedPorch    3SsnPorch  ScreenPorch     PoolArea       MiscVal  \\\n",
       "count    1460.000000  1460.000000  1460.000000  1460.000000   1460.000000   \n",
       "mean       21.954110     3.409589    15.060959     2.758904     43.489041   \n",
       "std        61.119149    29.317331    55.757415    40.177307    496.123024   \n",
       "min         0.000000     0.000000     0.000000     0.000000      0.000000   \n",
       "25%         0.000000     0.000000     0.000000     0.000000      0.000000   \n",
       "50%         0.000000     0.000000     0.000000     0.000000      0.000000   \n",
       "75%         0.000000     0.000000     0.000000     0.000000      0.000000   \n",
       "max       552.000000   508.000000   480.000000   738.000000  15500.000000   \n",
       "\n",
       "            MoSold       YrSold      SalePrice  \n",
       "count  1460.000000  1460.000000    1460.000000  \n",
       "mean      6.321918  2007.815753  180921.195890  \n",
       "std       2.703626     1.328095   79442.502883  \n",
       "min       1.000000  2006.000000   34900.000000  \n",
       "25%       5.000000  2007.000000  129975.000000  \n",
       "50%       6.000000  2008.000000  163000.000000  \n",
       "75%       8.000000  2009.000000  214000.000000  \n",
       "max      12.000000  2010.000000  755000.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', 100)\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "catg_cols = [i for i,j in data.dtypes.iteritems() if j == 'object']\n",
    "num_cols = [i for i,j in data.dtypes.iteritems() if j != 'object']\n",
    "\n",
    "X_num_cols = num_cols[1:-1]\n",
    "y_num_cols = [num_cols[-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1 + len(catg_cols)+len(X_num_cols)+len(y_num_cols) == len(data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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yljoAZrZ129acc+E5ez1+7Zq1uXTTpeMVBAAAHJQETgDMbPcXdmfd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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11797c550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = data.SalePrice\n",
    "num_bins = 60\n",
    "\n",
    "plt.figure(figsize=(20,7))\n",
    "n, bins, patches = plt.hist(x, num_bins, normed=1, facecolor='green', alpha=0.5)\n",
    "plt.xlabel('Sale Price')\n",
    "plt.ylabel('Relative Frequency')\n",
    "plt.title(r'Histogram of Sale Price: $\\mu=100$, $\\sigma=15$')\n",
    "plt.subplots_adjust(left=0.15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bzXp6yhUAAAAAMxDoAAAAAAyMQAcAAABgYAQ6AAAAAAMj0AEAAAAYGIEOAAAAwMAIdAAA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\nDgAAAMDACHQAAAAABkagAwAAADAw/xff6TYpHBgd4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119caded0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "logx = np.log(data.SalePrice)\n",
    "num_bins = 50\n",
    "\n",
    "plt.figure(figsize=(20,7))\n",
    "n, bins, patches = plt.hist(logx, num_bins, normed=1, facecolor='green', alpha=0.5)\n",
    "plt.xlabel('Log Sale Price')\n",
    "plt.ylabel('Relative Frequency')\n",
    "plt.title(r'Histogram of log(Sale Price): $\\mu=100$, $\\sigma=15$')\n",
    "plt.subplots_adjust(left=0.15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aa1dcd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "plt.boxplot(x, 0, 'rs', 0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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EbTAvibVlUhbMymfGGK/NPv3HJLfPOdTaMkEbzEtibZmUBbNy/sCnb8r+P9yPsrZM0Abz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104c52910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,5))\n",
    "plt.boxplot(logx, 0, 'rs', 0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import Imputer\n",
    "\n",
    "#imp = Imputer(missing_values='NaN',strategy='mean',axis=0)\n",
    "#X_imputed_num = pd.DataFrame(imp.fit_transform(data[X_num_cols]))\n",
    "#X_imputed_num.columns = data[X_num_cols].columns\n",
    "#X_imputed_num.index = data[X_num_cols].index\n",
    "#X_imputed_num.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>856.0</td>\n",
       "      <td>856.0</td>\n",
       "      <td>854.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1710.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>208500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>460.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>181500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>866.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1786.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>608.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>223500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1915.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>540.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>961.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1717.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>140000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>1053.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2198.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>836.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>250000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0        60.0         65.0   8450.0          7.0          5.0     2003.0   \n",
       "1        20.0         80.0   9600.0          6.0          8.0     1976.0   \n",
       "2        60.0         68.0  11250.0          7.0          5.0     2001.0   \n",
       "3        70.0         60.0   9550.0          7.0          5.0     1915.0   \n",
       "4        60.0         84.0  14260.0          8.0          5.0     2000.0   \n",
       "\n",
       "   YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  \\\n",
       "0        2003.0       196.0       706.0         0.0      150.0        856.0   \n",
       "1        1976.0         0.0       978.0         0.0      284.0       1262.0   \n",
       "2        2002.0       162.0       486.0         0.0      434.0        920.0   \n",
       "3        1970.0         0.0       216.0         0.0      540.0        756.0   \n",
       "4        2000.0       350.0       655.0         0.0      490.0       1145.0   \n",
       "\n",
       "   1stFlrSF  2ndFlrSF  LowQualFinSF  GrLivArea  BsmtFullBath  BsmtHalfBath  \\\n",
       "0     856.0     854.0           0.0     1710.0           1.0           0.0   \n",
       "1    1262.0       0.0           0.0     1262.0           0.0           1.0   \n",
       "2     920.0     866.0           0.0     1786.0           1.0           0.0   \n",
       "3     961.0     756.0           0.0     1717.0           1.0           0.0   \n",
       "4    1145.0    1053.0           0.0     2198.0           1.0           0.0   \n",
       "\n",
       "   FullBath  HalfBath  BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd  Fireplaces  \\\n",
       "0       2.0       1.0           3.0           1.0           8.0         0.0   \n",
       "1       2.0       0.0           3.0           1.0           6.0         1.0   \n",
       "2       2.0       1.0           3.0           1.0           6.0         1.0   \n",
       "3       1.0       0.0           3.0           1.0           7.0         1.0   \n",
       "4       2.0       1.0           4.0           1.0           9.0         1.0   \n",
       "\n",
       "   GarageYrBlt  GarageCars  GarageArea  WoodDeckSF  OpenPorchSF  \\\n",
       "0       2003.0         2.0       548.0         0.0         61.0   \n",
       "1       1976.0         2.0       460.0       298.0          0.0   \n",
       "2       2001.0         2.0       608.0         0.0         42.0   \n",
       "3       1998.0         3.0       642.0         0.0         35.0   \n",
       "4       2000.0         3.0       836.0       192.0         84.0   \n",
       "\n",
       "   EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  MiscVal  MoSold  YrSold  \\\n",
       "0            0.0        0.0          0.0       0.0      0.0     2.0  2008.0   \n",
       "1            0.0        0.0          0.0       0.0      0.0     5.0  2007.0   \n",
       "2            0.0        0.0          0.0       0.0      0.0     9.0  2008.0   \n",
       "3          272.0        0.0          0.0       0.0      0.0     2.0  2006.0   \n",
       "4            0.0        0.0          0.0       0.0      0.0    12.0  2008.0   \n",
       "\n",
       "   SalePrice  \n",
       "0   208500.0  \n",
       "1   181500.0  \n",
       "2   223500.0  \n",
       "3   140000.0  \n",
       "4   250000.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imp2 = Imputer(missing_values='NaN',strategy='mean',axis=0)\n",
    "t = pd.DataFrame(imp2.fit_transform(data.select_dtypes(include = ['float64', 'int64']).iloc[:, 1:]))\n",
    "t.columns = data.select_dtypes(include = ['float64', 'int64']).iloc[:, 1:].columns\n",
    "t.index = data.select_dtypes(include = ['float64', 'int64']).iloc[:, 1:].index\n",
    "t.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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WLFggm82m5s2ba9KkSZdVuAIAAAB/ZmxN4JpKm6SanJysxMRELV26VD169FBycrIiIiIU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\ngfVzV0WU8+OPP6Jbt24YMGAAJk2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      "text/plain": [
       "<matplotlib.figure.Figure at 0x114054490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MSSubClass</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.357056</td>\n",
       "      <td>-0.139781</td>\n",
       "      <td>0.032628</td>\n",
       "      <td>-0.059316</td>\n",
       "      <td>0.027850</td>\n",
       "      <td>0.040581</td>\n",
       "      <td>0.022895</td>\n",
       "      <td>-0.069836</td>\n",
       "      <td>-0.065649</td>\n",
       "      <td>-0.140759</td>\n",
       "      <td>-0.238518</td>\n",
       "      <td>-0.251758</td>\n",
       "      <td>0.307886</td>\n",
       "      <td>0.046474</td>\n",
       "      <td>0.074853</td>\n",
       "      <td>0.003491</td>\n",
       "      <td>-0.002333</td>\n",
       "      <td>0.131608</td>\n",
       "      <td>0.177354</td>\n",
       "      <td>-0.023438</td>\n",
       "      <td>0.281721</td>\n",
       "      <td>0.040380</td>\n",
       "      <td>-0.045569</td>\n",
       "      <td>0.080187</td>\n",
       "      <td>-0.040110</td>\n",
       "      <td>-0.098672</td>\n",
       "      <td>-0.012579</td>\n",
       "      <td>-0.006100</td>\n",
       "      <td>-0.012037</td>\n",
       "      <td>-0.043825</td>\n",
       "      <td>-0.026030</td>\n",
       "      <td>0.008283</td>\n",
       "      <td>-0.007683</td>\n",
       "      <td>-0.013585</td>\n",
       "      <td>-0.021407</td>\n",
       "      <td>-0.084284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>-0.357056</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.306795</td>\n",
       "      <td>0.234196</td>\n",
       "      <td>-0.052820</td>\n",
       "      <td>0.117598</td>\n",
       "      <td>0.082746</td>\n",
       "      <td>0.179283</td>\n",
       "      <td>0.215828</td>\n",
       "      <td>0.043340</td>\n",
       "      <td>0.122156</td>\n",
       "      <td>0.363358</td>\n",
       "      <td>0.414266</td>\n",
       "      <td>0.072483</td>\n",
       "      <td>0.036849</td>\n",
       "      <td>0.368392</td>\n",
       "      <td>0.091481</td>\n",
       "      <td>-0.006419</td>\n",
       "      <td>0.180424</td>\n",
       "      <td>0.048258</td>\n",
       "      <td>0.237023</td>\n",
       "      <td>-0.005805</td>\n",
       "      <td>0.320146</td>\n",
       "      <td>0.235755</td>\n",
       "      <td>0.064324</td>\n",
       "      <td>0.269729</td>\n",
       "      <td>0.323663</td>\n",
       "      <td>0.077106</td>\n",
       "      <td>0.137454</td>\n",
       "      <td>0.009790</td>\n",
       "      <td>0.062335</td>\n",
       "      <td>0.037684</td>\n",
       "      <td>0.180868</td>\n",
       "      <td>0.001168</td>\n",
       "      <td>0.010158</td>\n",
       "      <td>0.006768</td>\n",
       "      <td>0.334901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotArea</th>\n",
       "      <td>-0.139781</td>\n",
       "      <td>0.306795</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.105806</td>\n",
       "      <td>-0.005636</td>\n",
       "      <td>0.014228</td>\n",
       "      <td>0.013788</td>\n",
       "      <td>0.103960</td>\n",
       "      <td>0.214103</td>\n",
       "      <td>0.111170</td>\n",
       "      <td>-0.002618</td>\n",
       "      <td>0.260833</td>\n",
       "      <td>0.299475</td>\n",
       "      <td>0.050986</td>\n",
       "      <td>0.004779</td>\n",
       "      <td>0.263116</td>\n",
       "      <td>0.158155</td>\n",
       "      <td>0.048046</td>\n",
       "      <td>0.126031</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>0.119690</td>\n",
       "      <td>-0.017784</td>\n",
       "      <td>0.190015</td>\n",
       "      <td>0.271364</td>\n",
       "      <td>-0.024812</td>\n",
       "      <td>0.154871</td>\n",
       "      <td>0.180403</td>\n",
       "      <td>0.171698</td>\n",
       "      <td>0.084774</td>\n",
       "      <td>-0.018340</td>\n",
       "      <td>0.020423</td>\n",
       "      <td>0.043160</td>\n",
       "      <td>0.077672</td>\n",
       "      <td>0.038068</td>\n",
       "      <td>0.001205</td>\n",
       "      <td>-0.014261</td>\n",
       "      <td>0.263843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverallQual</th>\n",
       "      <td>0.032628</td>\n",
       "      <td>0.234196</td>\n",
       "      <td>0.105806</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.091932</td>\n",
       "      <td>0.572323</td>\n",
       "      <td>0.550684</td>\n",
       "      <td>0.410238</td>\n",
       "      <td>0.239666</td>\n",
       "      <td>-0.059119</td>\n",
       "      <td>0.308159</td>\n",
       "      <td>0.537808</td>\n",
       "      <td>0.476224</td>\n",
       "      <td>0.295493</td>\n",
       "      <td>-0.030429</td>\n",
       "      <td>0.593007</td>\n",
       "      <td>0.111098</td>\n",
       "      <td>-0.040150</td>\n",
       "      <td>0.550600</td>\n",
       "      <td>0.273458</td>\n",
       "      <td>0.101676</td>\n",
       "      <td>-0.183882</td>\n",
       "      <td>0.427452</td>\n",
       "      <td>0.396765</td>\n",
       "      <td>0.518018</td>\n",
       "      <td>0.600671</td>\n",
       "      <td>0.562022</td>\n",
       "      <td>0.238923</td>\n",
       "      <td>0.308819</td>\n",
       "      <td>-0.113937</td>\n",
       "      <td>0.030371</td>\n",
       "      <td>0.064886</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>-0.031406</td>\n",
       "      <td>0.070815</td>\n",
       "      <td>-0.027347</td>\n",
       "      <td>0.790982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverallCond</th>\n",
       "      <td>-0.059316</td>\n",
       "      <td>-0.052820</td>\n",
       "      <td>-0.005636</td>\n",
       "      <td>-0.091932</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.375983</td>\n",
       "      <td>0.073741</td>\n",
       "      <td>-0.127788</td>\n",
       "      <td>-0.046231</td>\n",
       "      <td>0.040229</td>\n",
       "      <td>-0.136841</td>\n",
       "      <td>-0.171098</td>\n",
       "      <td>-0.144203</td>\n",
       "      <td>0.028942</td>\n",
       "      <td>0.025494</td>\n",
       "      <td>-0.079686</td>\n",
       "      <td>-0.054942</td>\n",
       "      <td>0.117821</td>\n",
       "      <td>-0.194149</td>\n",
       "      <td>-0.060769</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>-0.087001</td>\n",
       "      <td>-0.057583</td>\n",
       "      <td>-0.023820</td>\n",
       "      <td>-0.306169</td>\n",
       "      <td>-0.185758</td>\n",
       "      <td>-0.151521</td>\n",
       "      <td>-0.003334</td>\n",
       "      <td>-0.032589</td>\n",
       "      <td>0.070356</td>\n",
       "      <td>0.025504</td>\n",
       "      <td>0.054811</td>\n",
       "      <td>-0.001985</td>\n",
       "      <td>0.068777</td>\n",
       "      <td>-0.003511</td>\n",
       "      <td>0.043950</td>\n",
       "      <td>-0.077856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>0.027850</td>\n",
       "      <td>0.117598</td>\n",
       "      <td>0.014228</td>\n",
       "      <td>0.572323</td>\n",
       "      <td>-0.375983</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.592855</td>\n",
       "      <td>0.314745</td>\n",
       "      <td>0.249503</td>\n",
       "      <td>-0.049107</td>\n",
       "      <td>0.149040</td>\n",
       "      <td>0.391452</td>\n",
       "      <td>0.281986</td>\n",
       "      <td>0.010308</td>\n",
       "      <td>-0.183784</td>\n",
       "      <td>0.199010</td>\n",
       "      <td>0.187599</td>\n",
       "      <td>-0.038162</td>\n",
       "      <td>0.468271</td>\n",
       "      <td>0.242656</td>\n",
       "      <td>-0.070651</td>\n",
       "      <td>-0.174800</td>\n",
       "      <td>0.095589</td>\n",
       "      <td>0.147716</td>\n",
       "      <td>0.780555</td>\n",
       "      <td>0.537850</td>\n",
       "      <td>0.478954</td>\n",
       "      <td>0.224880</td>\n",
       "      <td>0.188686</td>\n",
       "      <td>-0.387268</td>\n",
       "      <td>0.031355</td>\n",
       "      <td>-0.050364</td>\n",
       "      <td>0.004950</td>\n",
       "      <td>-0.034383</td>\n",
       "      <td>0.012398</td>\n",
       "      <td>-0.013618</td>\n",
       "      <td>0.522897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <td>0.040581</td>\n",
       "      <td>0.082746</td>\n",
       "      <td>0.013788</td>\n",
       "      <td>0.550684</td>\n",
       "      <td>0.073741</td>\n",
       "      <td>0.592855</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.179186</td>\n",
       "      <td>0.128451</td>\n",
       "      <td>-0.067759</td>\n",
       "      <td>0.181133</td>\n",
       "      <td>0.291066</td>\n",
       "      <td>0.240379</td>\n",
       "      <td>0.140024</td>\n",
       "      <td>-0.062419</td>\n",
       "      <td>0.287389</td>\n",
       "      <td>0.119470</td>\n",
       "      <td>-0.012337</td>\n",
       "      <td>0.439046</td>\n",
       "      <td>0.183331</td>\n",
       "      <td>-0.040581</td>\n",
       "      <td>-0.149598</td>\n",
       "      <td>0.191740</td>\n",
       "      <td>0.112581</td>\n",
       "      <td>0.618130</td>\n",
       "      <td>0.420622</td>\n",
       "      <td>0.371600</td>\n",
       "      <td>0.205726</td>\n",
       "      <td>0.226298</td>\n",
       "      <td>-0.193919</td>\n",
       "      <td>0.045286</td>\n",
       "      <td>-0.038740</td>\n",
       "      <td>0.005829</td>\n",
       "      <td>-0.010286</td>\n",
       "      <td>0.021490</td>\n",
       "      <td>0.035743</td>\n",
       "      <td>0.507101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>0.022895</td>\n",
       "      <td>0.179283</td>\n",
       "      <td>0.103960</td>\n",
       "      <td>0.410238</td>\n",
       "      <td>-0.127788</td>\n",
       "      <td>0.314745</td>\n",
       "      <td>0.179186</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.263582</td>\n",
       "      <td>-0.072302</td>\n",
       "      <td>0.114184</td>\n",
       "      <td>0.362452</td>\n",
       "      <td>0.342160</td>\n",
       "      <td>0.174019</td>\n",
       "      <td>-0.069068</td>\n",
       "      <td>0.389893</td>\n",
       "      <td>0.085055</td>\n",
       "      <td>0.026669</td>\n",
       "      <td>0.275730</td>\n",
       "      <td>0.200802</td>\n",
       "      <td>0.102417</td>\n",
       "      <td>-0.037364</td>\n",
       "      <td>0.280027</td>\n",
       "      <td>0.247906</td>\n",
       "      <td>0.249367</td>\n",
       "      <td>0.363778</td>\n",
       "      <td>0.372567</td>\n",
       "      <td>0.159349</td>\n",
       "      <td>0.124965</td>\n",
       "      <td>-0.109849</td>\n",
       "      <td>0.018795</td>\n",
       "      <td>0.061453</td>\n",
       "      <td>0.011723</td>\n",
       "      <td>-0.029815</td>\n",
       "      <td>-0.005940</td>\n",
       "      <td>-0.008184</td>\n",
       "      <td>0.475241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <td>-0.069836</td>\n",
       "      <td>0.215828</td>\n",
       "      <td>0.214103</td>\n",
       "      <td>0.239666</td>\n",
       "      <td>-0.046231</td>\n",
       "      <td>0.249503</td>\n",
       "      <td>0.128451</td>\n",
       "      <td>0.263582</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.050117</td>\n",
       "      <td>-0.495251</td>\n",
       "      <td>0.522396</td>\n",
       "      <td>0.445863</td>\n",
       "      <td>-0.137079</td>\n",
       "      <td>-0.064503</td>\n",
       "      <td>0.208171</td>\n",
       "      <td>0.649212</td>\n",
       "      <td>0.067418</td>\n",
       "      <td>0.058543</td>\n",
       "      <td>0.004262</td>\n",
       "      <td>-0.107355</td>\n",
       "      <td>-0.081007</td>\n",
       "      <td>0.044316</td>\n",
       "      <td>0.260011</td>\n",
       "      <td>0.150338</td>\n",
       "      <td>0.224054</td>\n",
       "      <td>0.296970</td>\n",
       "      <td>0.204306</td>\n",
       "      <td>0.111761</td>\n",
       "      <td>-0.102303</td>\n",
       "      <td>0.026451</td>\n",
       "      <td>0.062021</td>\n",
       "      <td>0.140491</td>\n",
       "      <td>0.003571</td>\n",
       "      <td>-0.015727</td>\n",
       "      <td>0.014359</td>\n",
       "      <td>0.386420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <td>-0.065649</td>\n",
       "      <td>0.043340</td>\n",
       "      <td>0.111170</td>\n",
       "      <td>-0.059119</td>\n",
       "      <td>0.040229</td>\n",
       "      <td>-0.049107</td>\n",
       "      <td>-0.067759</td>\n",
       "      <td>-0.072302</td>\n",
       "      <td>-0.050117</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.209294</td>\n",
       "      <td>0.104810</td>\n",
       "      <td>0.097117</td>\n",
       "      <td>-0.099260</td>\n",
       "      <td>0.014807</td>\n",
       "      <td>-0.009640</td>\n",
       "      <td>0.158678</td>\n",
       "      <td>0.070948</td>\n",
       "      <td>-0.076444</td>\n",
       "      <td>-0.032148</td>\n",
       "      <td>-0.015728</td>\n",
       "      <td>-0.040751</td>\n",
       "      <td>-0.035227</td>\n",
       "      <td>0.046921</td>\n",
       "      <td>-0.087126</td>\n",
       "      <td>-0.038264</td>\n",
       "      <td>-0.018227</td>\n",
       "      <td>0.067898</td>\n",
       "      <td>0.003093</td>\n",
       "      <td>0.036543</td>\n",
       "      <td>-0.029993</td>\n",
       "      <td>0.088871</td>\n",
       "      <td>0.041709</td>\n",
       "      <td>0.004940</td>\n",
       "      <td>-0.015211</td>\n",
       "      <td>0.031706</td>\n",
       "      <td>-0.011378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <td>-0.140759</td>\n",
       "      <td>0.122156</td>\n",
       "      <td>-0.002618</td>\n",
       "      <td>0.308159</td>\n",
       "      <td>-0.136841</td>\n",
       "      <td>0.149040</td>\n",
       "      <td>0.181133</td>\n",
       "      <td>0.114184</td>\n",
       "      <td>-0.495251</td>\n",
       "      <td>-0.209294</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.415360</td>\n",
       "      <td>0.317987</td>\n",
       "      <td>0.004469</td>\n",
       "      <td>0.028167</td>\n",
       "      <td>0.240257</td>\n",
       "      <td>-0.422900</td>\n",
       "      <td>-0.095804</td>\n",
       "      <td>0.288886</td>\n",
       "      <td>-0.041118</td>\n",
       "      <td>0.166643</td>\n",
       "      <td>0.030086</td>\n",
       "      <td>0.250647</td>\n",
       "      <td>0.051575</td>\n",
       "      <td>0.186098</td>\n",
       "      <td>0.214175</td>\n",
       "      <td>0.183303</td>\n",
       "      <td>-0.005316</td>\n",
       "      <td>0.129005</td>\n",
       "      <td>-0.002538</td>\n",
       "      <td>0.020764</td>\n",
       "      <td>-0.012579</td>\n",
       "      <td>-0.035092</td>\n",
       "      <td>-0.023837</td>\n",
       "      <td>0.034888</td>\n",
       "      <td>-0.041258</td>\n",
       "      <td>0.214479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <td>-0.238518</td>\n",
       "      <td>0.363358</td>\n",
       "      <td>0.260833</td>\n",
       "      <td>0.537808</td>\n",
       "      <td>-0.171098</td>\n",
       "      <td>0.391452</td>\n",
       "      <td>0.291066</td>\n",
       "      <td>0.362452</td>\n",
       "      <td>0.522396</td>\n",
       "      <td>0.104810</td>\n",
       "      <td>0.415360</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.819530</td>\n",
       "      <td>-0.174512</td>\n",
       "      <td>-0.033245</td>\n",
       "      <td>0.454868</td>\n",
       "      <td>0.307351</td>\n",
       "      <td>-0.000315</td>\n",
       "      <td>0.323722</td>\n",
       "      <td>-0.048804</td>\n",
       "      <td>0.050450</td>\n",
       "      <td>-0.068901</td>\n",
       "      <td>0.285573</td>\n",
       "      <td>0.339519</td>\n",
       "      <td>0.311700</td>\n",
       "      <td>0.434585</td>\n",
       "      <td>0.486665</td>\n",
       "      <td>0.232019</td>\n",
       "      <td>0.247264</td>\n",
       "      <td>-0.095478</td>\n",
       "      <td>0.037384</td>\n",
       "      <td>0.084489</td>\n",
       "      <td>0.126053</td>\n",
       "      <td>-0.018479</td>\n",
       "      <td>0.013196</td>\n",
       "      <td>-0.014969</td>\n",
       "      <td>0.613581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1stFlrSF</th>\n",
       "      <td>-0.251758</td>\n",
       "      <td>0.414266</td>\n",
       "      <td>0.299475</td>\n",
       "      <td>0.476224</td>\n",
       "      <td>-0.144203</td>\n",
       "      <td>0.281986</td>\n",
       "      <td>0.240379</td>\n",
       "      <td>0.342160</td>\n",
       "      <td>0.445863</td>\n",
       "      <td>0.097117</td>\n",
       "      <td>0.317987</td>\n",
       "      <td>0.819530</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.202646</td>\n",
       "      <td>-0.014241</td>\n",
       "      <td>0.566024</td>\n",
       "      <td>0.244671</td>\n",
       "      <td>0.001956</td>\n",
       "      <td>0.380637</td>\n",
       "      <td>-0.119916</td>\n",
       "      <td>0.127401</td>\n",
       "      <td>0.068101</td>\n",
       "      <td>0.409516</td>\n",
       "      <td>0.410531</td>\n",
       "      <td>0.227127</td>\n",
       "      <td>0.439317</td>\n",
       "      <td>0.489782</td>\n",
       "      <td>0.235459</td>\n",
       "      <td>0.211671</td>\n",
       "      <td>-0.065292</td>\n",
       "      <td>0.056104</td>\n",
       "      <td>0.088758</td>\n",
       "      <td>0.131525</td>\n",
       "      <td>-0.021096</td>\n",
       "      <td>0.031372</td>\n",
       "      <td>-0.013604</td>\n",
       "      <td>0.605852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <td>0.307886</td>\n",
       "      <td>0.072483</td>\n",
       "      <td>0.050986</td>\n",
       "      <td>0.295493</td>\n",
       "      <td>0.028942</td>\n",
       "      <td>0.010308</td>\n",
       "      <td>0.140024</td>\n",
       "      <td>0.174019</td>\n",
       "      <td>-0.137079</td>\n",
       "      <td>-0.099260</td>\n",
       "      <td>0.004469</td>\n",
       "      <td>-0.174512</td>\n",
       "      <td>-0.202646</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.063353</td>\n",
       "      <td>0.687501</td>\n",
       "      <td>-0.169494</td>\n",
       "      <td>-0.023855</td>\n",
       "      <td>0.421378</td>\n",
       "      <td>0.609707</td>\n",
       "      <td>0.502901</td>\n",
       "      <td>0.059306</td>\n",
       "      <td>0.616423</td>\n",
       "      <td>0.194561</td>\n",
       "      <td>0.069315</td>\n",
       "      <td>0.183926</td>\n",
       "      <td>0.138347</td>\n",
       "      <td>0.092165</td>\n",
       "      <td>0.208026</td>\n",
       "      <td>0.061989</td>\n",
       "      <td>-0.024358</td>\n",
       "      <td>0.040606</td>\n",
       "      <td>0.081487</td>\n",
       "      <td>0.016197</td>\n",
       "      <td>0.035164</td>\n",
       "      <td>-0.028700</td>\n",
       "      <td>0.319334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <td>0.046474</td>\n",
       "      <td>0.036849</td>\n",
       "      <td>0.004779</td>\n",
       "      <td>-0.030429</td>\n",
       "      <td>0.025494</td>\n",
       "      <td>-0.183784</td>\n",
       "      <td>-0.062419</td>\n",
       "      <td>-0.069068</td>\n",
       "      <td>-0.064503</td>\n",
       "      <td>0.014807</td>\n",
       "      <td>0.028167</td>\n",
       "      <td>-0.033245</td>\n",
       "      <td>-0.014241</td>\n",
       "      <td>0.063353</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.134683</td>\n",
       "      <td>-0.047143</td>\n",
       "      <td>-0.005842</td>\n",
       "      <td>-0.000710</td>\n",
       "      <td>-0.027080</td>\n",
       "      <td>0.105607</td>\n",
       "      <td>0.007522</td>\n",
       "      <td>0.131185</td>\n",
       "      <td>-0.021272</td>\n",
       "      <td>-0.029167</td>\n",
       "      <td>-0.094480</td>\n",
       "      <td>-0.067601</td>\n",
       "      <td>-0.025444</td>\n",
       "      <td>0.018251</td>\n",
       "      <td>0.061081</td>\n",
       "      <td>-0.004296</td>\n",
       "      <td>0.026799</td>\n",
       "      <td>0.062157</td>\n",
       "      <td>-0.003793</td>\n",
       "      <td>-0.022174</td>\n",
       "      <td>-0.028921</td>\n",
       "      <td>-0.025606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrLivArea</th>\n",
       "      <td>0.074853</td>\n",
       "      <td>0.368392</td>\n",
       "      <td>0.263116</td>\n",
       "      <td>0.593007</td>\n",
       "      <td>-0.079686</td>\n",
       "      <td>0.199010</td>\n",
       "      <td>0.287389</td>\n",
       "      <td>0.389893</td>\n",
       "      <td>0.208171</td>\n",
       "      <td>-0.009640</td>\n",
       "      <td>0.240257</td>\n",
       "      <td>0.454868</td>\n",
       "      <td>0.566024</td>\n",
       "      <td>0.687501</td>\n",
       "      <td>0.134683</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.034836</td>\n",
       "      <td>-0.018918</td>\n",
       "      <td>0.630012</td>\n",
       "      <td>0.415772</td>\n",
       "      <td>0.521270</td>\n",
       "      <td>0.100063</td>\n",
       "      <td>0.825489</td>\n",
       "      <td>0.461679</td>\n",
       "      <td>0.221977</td>\n",
       "      <td>0.467247</td>\n",
       "      <td>0.468997</td>\n",
       "      <td>0.247433</td>\n",
       "      <td>0.330224</td>\n",
       "      <td>0.009113</td>\n",
       "      <td>0.020643</td>\n",
       "      <td>0.101510</td>\n",
       "      <td>0.170205</td>\n",
       "      <td>-0.002416</td>\n",
       "      <td>0.050240</td>\n",
       "      <td>-0.036526</td>\n",
       "      <td>0.708624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <td>0.003491</td>\n",
       "      <td>0.091481</td>\n",
       "      <td>0.158155</td>\n",
       "      <td>0.111098</td>\n",
       "      <td>-0.054942</td>\n",
       "      <td>0.187599</td>\n",
       "      <td>0.119470</td>\n",
       "      <td>0.085055</td>\n",
       "      <td>0.649212</td>\n",
       "      <td>0.158678</td>\n",
       "      <td>-0.422900</td>\n",
       "      <td>0.307351</td>\n",
       "      <td>0.244671</td>\n",
       "      <td>-0.169494</td>\n",
       "      <td>-0.047143</td>\n",
       "      <td>0.034836</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.147871</td>\n",
       "      <td>-0.064512</td>\n",
       "      <td>-0.030905</td>\n",
       "      <td>-0.150673</td>\n",
       "      <td>-0.041503</td>\n",
       "      <td>-0.053275</td>\n",
       "      <td>0.137928</td>\n",
       "      <td>0.119912</td>\n",
       "      <td>0.131881</td>\n",
       "      <td>0.179189</td>\n",
       "      <td>0.175315</td>\n",
       "      <td>0.067341</td>\n",
       "      <td>-0.049911</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>0.023148</td>\n",
       "      <td>0.067616</td>\n",
       "      <td>-0.023047</td>\n",
       "      <td>-0.025361</td>\n",
       "      <td>0.067049</td>\n",
       "      <td>0.227122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <td>-0.002333</td>\n",
       "      <td>-0.006419</td>\n",
       "      <td>0.048046</td>\n",
       "      <td>-0.040150</td>\n",
       "      <td>0.117821</td>\n",
       "      <td>-0.038162</td>\n",
       "      <td>-0.012337</td>\n",
       "      <td>0.026669</td>\n",
       "      <td>0.067418</td>\n",
       "      <td>0.070948</td>\n",
       "      <td>-0.095804</td>\n",
       "      <td>-0.000315</td>\n",
       "      <td>0.001956</td>\n",
       "      <td>-0.023855</td>\n",
       "      <td>-0.005842</td>\n",
       "      <td>-0.018918</td>\n",
       "      <td>-0.147871</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.054536</td>\n",
       "      <td>-0.012340</td>\n",
       "      <td>0.046519</td>\n",
       "      <td>-0.037944</td>\n",
       "      <td>-0.023836</td>\n",
       "      <td>0.028976</td>\n",
       "      <td>-0.075135</td>\n",
       "      <td>-0.020891</td>\n",
       "      <td>-0.024536</td>\n",
       "      <td>0.040161</td>\n",
       "      <td>-0.025324</td>\n",
       "      <td>-0.008555</td>\n",
       "      <td>0.035114</td>\n",
       "      <td>0.032121</td>\n",
       "      <td>0.020025</td>\n",
       "      <td>-0.007367</td>\n",
       "      <td>0.032873</td>\n",
       "      <td>-0.046524</td>\n",
       "      <td>-0.016844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullBath</th>\n",
       "      <td>0.131608</td>\n",
       "      <td>0.180424</td>\n",
       "      <td>0.126031</td>\n",
       "      <td>0.550600</td>\n",
       "      <td>-0.194149</td>\n",
       "      <td>0.468271</td>\n",
       "      <td>0.439046</td>\n",
       "      <td>0.275730</td>\n",
       "      <td>0.058543</td>\n",
       "      <td>-0.076444</td>\n",
       "      <td>0.288886</td>\n",
       "      <td>0.323722</td>\n",
       "      <td>0.380637</td>\n",
       "      <td>0.421378</td>\n",
       "      <td>-0.000710</td>\n",
       "      <td>0.630012</td>\n",
       "      <td>-0.064512</td>\n",
       "      <td>-0.054536</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.136381</td>\n",
       "      <td>0.363252</td>\n",
       "      <td>0.133115</td>\n",
       "      <td>0.554784</td>\n",
       "      <td>0.243671</td>\n",
       "      <td>0.468466</td>\n",
       "      <td>0.469672</td>\n",
       "      <td>0.405656</td>\n",
       "      <td>0.187703</td>\n",
       "      <td>0.259977</td>\n",
       "      <td>-0.115093</td>\n",
       "      <td>0.035353</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.049604</td>\n",
       "      <td>-0.014290</td>\n",
       "      <td>0.055872</td>\n",
       "      <td>-0.019669</td>\n",
       "      <td>0.560664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HalfBath</th>\n",
       "      <td>0.177354</td>\n",
       "      <td>0.048258</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>0.273458</td>\n",
       "      <td>-0.060769</td>\n",
       "      <td>0.242656</td>\n",
       "      <td>0.183331</td>\n",
       "      <td>0.200802</td>\n",
       "      <td>0.004262</td>\n",
       "      <td>-0.032148</td>\n",
       "      <td>-0.041118</td>\n",
       "      <td>-0.048804</td>\n",
       "      <td>-0.119916</td>\n",
       "      <td>0.609707</td>\n",
       "      <td>-0.027080</td>\n",
       "      <td>0.415772</td>\n",
       "      <td>-0.030905</td>\n",
       "      <td>-0.012340</td>\n",
       "      <td>0.136381</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.226651</td>\n",
       "      <td>-0.068263</td>\n",
       "      <td>0.343415</td>\n",
       "      <td>0.203649</td>\n",
       "      <td>0.191061</td>\n",
       "      <td>0.219178</td>\n",
       "      <td>0.163549</td>\n",
       "      <td>0.108080</td>\n",
       "      <td>0.199740</td>\n",
       "      <td>-0.095317</td>\n",
       "      <td>-0.004972</td>\n",
       "      <td>0.072426</td>\n",
       "      <td>0.022381</td>\n",
       "      <td>0.001290</td>\n",
       "      <td>-0.009050</td>\n",
       "      <td>-0.010269</td>\n",
       "      <td>0.284108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <td>-0.023438</td>\n",
       "      <td>0.237023</td>\n",
       "      <td>0.119690</td>\n",
       "      <td>0.101676</td>\n",
       "      <td>0.012980</td>\n",
       "      <td>-0.070651</td>\n",
       "      <td>-0.040581</td>\n",
       "      <td>0.102417</td>\n",
       "      <td>-0.107355</td>\n",
       "      <td>-0.015728</td>\n",
       "      <td>0.166643</td>\n",
       "      <td>0.050450</td>\n",
       "      <td>0.127401</td>\n",
       "      <td>0.502901</td>\n",
       "      <td>0.105607</td>\n",
       "      <td>0.521270</td>\n",
       "      <td>-0.150673</td>\n",
       "      <td>0.046519</td>\n",
       "      <td>0.363252</td>\n",
       "      <td>0.226651</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.198597</td>\n",
       "      <td>0.676620</td>\n",
       "      <td>0.107570</td>\n",
       "      <td>-0.060256</td>\n",
       "      <td>0.086106</td>\n",
       "      <td>0.065253</td>\n",
       "      <td>0.046854</td>\n",
       "      <td>0.093810</td>\n",
       "      <td>0.041570</td>\n",
       "      <td>-0.024478</td>\n",
       "      <td>0.044300</td>\n",
       "      <td>0.070703</td>\n",
       "      <td>0.007767</td>\n",
       "      <td>0.046544</td>\n",
       "      <td>-0.036014</td>\n",
       "      <td>0.168213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <td>0.281721</td>\n",
       "      <td>-0.005805</td>\n",
       "      <td>-0.017784</td>\n",
       "      <td>-0.183882</td>\n",
       "      <td>-0.087001</td>\n",
       "      <td>-0.174800</td>\n",
       "      <td>-0.149598</td>\n",
       "      <td>-0.037364</td>\n",
       "      <td>-0.081007</td>\n",
       "      <td>-0.040751</td>\n",
       "      <td>0.030086</td>\n",
       "      <td>-0.068901</td>\n",
       "      <td>0.068101</td>\n",
       "      <td>0.059306</td>\n",
       "      <td>0.007522</td>\n",
       "      <td>0.100063</td>\n",
       "      <td>-0.041503</td>\n",
       "      <td>-0.037944</td>\n",
       "      <td>0.133115</td>\n",
       "      <td>-0.068263</td>\n",
       "      <td>0.198597</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.256045</td>\n",
       "      <td>-0.123936</td>\n",
       "      <td>-0.107579</td>\n",
       "      <td>-0.050634</td>\n",
       "      <td>-0.064433</td>\n",
       "      <td>-0.090130</td>\n",
       "      <td>-0.070091</td>\n",
       "      <td>0.037312</td>\n",
       "      <td>-0.024600</td>\n",
       "      <td>-0.051613</td>\n",
       "      <td>-0.014525</td>\n",
       "      <td>0.062341</td>\n",
       "      <td>0.026589</td>\n",
       "      <td>0.031687</td>\n",
       "      <td>-0.135907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <td>0.040380</td>\n",
       "      <td>0.320146</td>\n",
       "      <td>0.190015</td>\n",
       "      <td>0.427452</td>\n",
       "      <td>-0.057583</td>\n",
       "      <td>0.095589</td>\n",
       "      <td>0.191740</td>\n",
       "      <td>0.280027</td>\n",
       "      <td>0.044316</td>\n",
       "      <td>-0.035227</td>\n",
       "      <td>0.250647</td>\n",
       "      <td>0.285573</td>\n",
       "      <td>0.409516</td>\n",
       "      <td>0.616423</td>\n",
       "      <td>0.131185</td>\n",
       "      <td>0.825489</td>\n",
       "      <td>-0.053275</td>\n",
       "      <td>-0.023836</td>\n",
       "      <td>0.554784</td>\n",
       "      <td>0.343415</td>\n",
       "      <td>0.676620</td>\n",
       "      <td>0.256045</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.326114</td>\n",
       "      <td>0.140791</td>\n",
       "      <td>0.362289</td>\n",
       "      <td>0.337822</td>\n",
       "      <td>0.165984</td>\n",
       "      <td>0.234192</td>\n",
       "      <td>0.004151</td>\n",
       "      <td>-0.006683</td>\n",
       "      <td>0.059383</td>\n",
       "      <td>0.083757</td>\n",
       "      <td>0.024763</td>\n",
       "      <td>0.036907</td>\n",
       "      <td>-0.034516</td>\n",
       "      <td>0.533723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fireplaces</th>\n",
       "      <td>-0.045569</td>\n",
       "      <td>0.235755</td>\n",
       "      <td>0.271364</td>\n",
       "      <td>0.396765</td>\n",
       "      <td>-0.023820</td>\n",
       "      <td>0.147716</td>\n",
       "      <td>0.112581</td>\n",
       "      <td>0.247906</td>\n",
       "      <td>0.260011</td>\n",
       "      <td>0.046921</td>\n",
       "      <td>0.051575</td>\n",
       "      <td>0.339519</td>\n",
       "      <td>0.410531</td>\n",
       "      <td>0.194561</td>\n",
       "      <td>-0.021272</td>\n",
       "      <td>0.461679</td>\n",
       "      <td>0.137928</td>\n",
       "      <td>0.028976</td>\n",
       "      <td>0.243671</td>\n",
       "      <td>0.203649</td>\n",
       "      <td>0.107570</td>\n",
       "      <td>-0.123936</td>\n",
       "      <td>0.326114</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.045596</td>\n",
       "      <td>0.300789</td>\n",
       "      <td>0.269141</td>\n",
       "      <td>0.200019</td>\n",
       "      <td>0.169405</td>\n",
       "      <td>-0.024822</td>\n",
       "      <td>0.011257</td>\n",
       "      <td>0.184530</td>\n",
       "      <td>0.095074</td>\n",
       "      <td>0.001409</td>\n",
       "      <td>0.046357</td>\n",
       "      <td>-0.024096</td>\n",
       "      <td>0.466929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>0.080187</td>\n",
       "      <td>0.064324</td>\n",
       "      <td>-0.024812</td>\n",
       "      <td>0.518018</td>\n",
       "      <td>-0.306169</td>\n",
       "      <td>0.780555</td>\n",
       "      <td>0.618130</td>\n",
       "      <td>0.249367</td>\n",
       "      <td>0.150338</td>\n",
       "      <td>-0.087126</td>\n",
       "      <td>0.186098</td>\n",
       "      <td>0.311700</td>\n",
       "      <td>0.227127</td>\n",
       "      <td>0.069315</td>\n",
       "      <td>-0.029167</td>\n",
       "      <td>0.221977</td>\n",
       "      <td>0.119912</td>\n",
       "      <td>-0.075135</td>\n",
       "      <td>0.468466</td>\n",
       "      <td>0.191061</td>\n",
       "      <td>-0.060256</td>\n",
       "      <td>-0.107579</td>\n",
       "      <td>0.140791</td>\n",
       "      <td>0.045596</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.482534</td>\n",
       "      <td>0.476498</td>\n",
       "      <td>0.220623</td>\n",
       "      <td>0.218490</td>\n",
       "      <td>-0.285882</td>\n",
       "      <td>0.023534</td>\n",
       "      <td>-0.075256</td>\n",
       "      <td>-0.014499</td>\n",
       "      <td>-0.031853</td>\n",
       "      <td>0.005173</td>\n",
       "      <td>-0.000987</td>\n",
       "      <td>0.470177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCars</th>\n",
       "      <td>-0.040110</td>\n",
       "      <td>0.269729</td>\n",
       "      <td>0.154871</td>\n",
       "      <td>0.600671</td>\n",
       "      <td>-0.185758</td>\n",
       "      <td>0.537850</td>\n",
       "      <td>0.420622</td>\n",
       "      <td>0.363778</td>\n",
       "      <td>0.224054</td>\n",
       "      <td>-0.038264</td>\n",
       "      <td>0.214175</td>\n",
       "      <td>0.434585</td>\n",
       "      <td>0.439317</td>\n",
       "      <td>0.183926</td>\n",
       "      <td>-0.094480</td>\n",
       "      <td>0.467247</td>\n",
       "      <td>0.131881</td>\n",
       "      <td>-0.020891</td>\n",
       "      <td>0.469672</td>\n",
       "      <td>0.219178</td>\n",
       "      <td>0.086106</td>\n",
       "      <td>-0.050634</td>\n",
       "      <td>0.362289</td>\n",
       "      <td>0.300789</td>\n",
       "      <td>0.482534</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.882475</td>\n",
       "      <td>0.226342</td>\n",
       "      <td>0.213569</td>\n",
       "      <td>-0.151434</td>\n",
       "      <td>0.035765</td>\n",
       "      <td>0.050494</td>\n",
       "      <td>0.020934</td>\n",
       "      <td>-0.043080</td>\n",
       "      <td>0.040522</td>\n",
       "      <td>-0.039117</td>\n",
       "      <td>0.640409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageArea</th>\n",
       "      <td>-0.098672</td>\n",
       "      <td>0.323663</td>\n",
       "      <td>0.180403</td>\n",
       "      <td>0.562022</td>\n",
       "      <td>-0.151521</td>\n",
       "      <td>0.478954</td>\n",
       "      <td>0.371600</td>\n",
       "      <td>0.372567</td>\n",
       "      <td>0.296970</td>\n",
       "      <td>-0.018227</td>\n",
       "      <td>0.183303</td>\n",
       "      <td>0.486665</td>\n",
       "      <td>0.489782</td>\n",
       "      <td>0.138347</td>\n",
       "      <td>-0.067601</td>\n",
       "      <td>0.468997</td>\n",
       "      <td>0.179189</td>\n",
       "      <td>-0.024536</td>\n",
       "      <td>0.405656</td>\n",
       "      <td>0.163549</td>\n",
       "      <td>0.065253</td>\n",
       "      <td>-0.064433</td>\n",
       "      <td>0.337822</td>\n",
       "      <td>0.269141</td>\n",
       "      <td>0.476498</td>\n",
       "      <td>0.882475</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.224666</td>\n",
       "      <td>0.241435</td>\n",
       "      <td>-0.121777</td>\n",
       "      <td>0.035087</td>\n",
       "      <td>0.051412</td>\n",
       "      <td>0.061047</td>\n",
       "      <td>-0.027400</td>\n",
       "      <td>0.027974</td>\n",
       "      <td>-0.027378</td>\n",
       "      <td>0.623431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <td>-0.012579</td>\n",
       "      <td>0.077106</td>\n",
       "      <td>0.171698</td>\n",
       "      <td>0.238923</td>\n",
       "      <td>-0.003334</td>\n",
       "      <td>0.224880</td>\n",
       "      <td>0.205726</td>\n",
       "      <td>0.159349</td>\n",
       "      <td>0.204306</td>\n",
       "      <td>0.067898</td>\n",
       "      <td>-0.005316</td>\n",
       "      <td>0.232019</td>\n",
       "      <td>0.235459</td>\n",
       "      <td>0.092165</td>\n",
       "      <td>-0.025444</td>\n",
       "      <td>0.247433</td>\n",
       "      <td>0.175315</td>\n",
       "      <td>0.040161</td>\n",
       "      <td>0.187703</td>\n",
       "      <td>0.108080</td>\n",
       "      <td>0.046854</td>\n",
       "      <td>-0.090130</td>\n",
       "      <td>0.165984</td>\n",
       "      <td>0.200019</td>\n",
       "      <td>0.220623</td>\n",
       "      <td>0.226342</td>\n",
       "      <td>0.224666</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.058661</td>\n",
       "      <td>-0.125989</td>\n",
       "      <td>-0.032771</td>\n",
       "      <td>-0.074181</td>\n",
       "      <td>0.073378</td>\n",
       "      <td>-0.009551</td>\n",
       "      <td>0.021011</td>\n",
       "      <td>0.022270</td>\n",
       "      <td>0.324413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <td>-0.006100</td>\n",
       "      <td>0.137454</td>\n",
       "      <td>0.084774</td>\n",
       "      <td>0.308819</td>\n",
       "      <td>-0.032589</td>\n",
       "      <td>0.188686</td>\n",
       "      <td>0.226298</td>\n",
       "      <td>0.124965</td>\n",
       "      <td>0.111761</td>\n",
       "      <td>0.003093</td>\n",
       "      <td>0.129005</td>\n",
       "      <td>0.247264</td>\n",
       "      <td>0.211671</td>\n",
       "      <td>0.208026</td>\n",
       "      <td>0.018251</td>\n",
       "      <td>0.330224</td>\n",
       "      <td>0.067341</td>\n",
       "      <td>-0.025324</td>\n",
       "      <td>0.259977</td>\n",
       "      <td>0.199740</td>\n",
       "      <td>0.093810</td>\n",
       "      <td>-0.070091</td>\n",
       "      <td>0.234192</td>\n",
       "      <td>0.169405</td>\n",
       "      <td>0.218490</td>\n",
       "      <td>0.213569</td>\n",
       "      <td>0.241435</td>\n",
       "      <td>0.058661</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.093079</td>\n",
       "      <td>-0.005842</td>\n",
       "      <td>0.074304</td>\n",
       "      <td>0.060762</td>\n",
       "      <td>-0.018584</td>\n",
       "      <td>0.071255</td>\n",
       "      <td>-0.057619</td>\n",
       "      <td>0.315856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <td>-0.012037</td>\n",
       "      <td>0.009790</td>\n",
       "      <td>-0.018340</td>\n",
       "      <td>-0.113937</td>\n",
       "      <td>0.070356</td>\n",
       "      <td>-0.387268</td>\n",
       "      <td>-0.193919</td>\n",
       "      <td>-0.109849</td>\n",
       "      <td>-0.102303</td>\n",
       "      <td>0.036543</td>\n",
       "      <td>-0.002538</td>\n",
       "      <td>-0.095478</td>\n",
       "      <td>-0.065292</td>\n",
       "      <td>0.061989</td>\n",
       "      <td>0.061081</td>\n",
       "      <td>0.009113</td>\n",
       "      <td>-0.049911</td>\n",
       "      <td>-0.008555</td>\n",
       "      <td>-0.115093</td>\n",
       "      <td>-0.095317</td>\n",
       "      <td>0.041570</td>\n",
       "      <td>0.037312</td>\n",
       "      <td>0.004151</td>\n",
       "      <td>-0.024822</td>\n",
       "      <td>-0.285882</td>\n",
       "      <td>-0.151434</td>\n",
       "      <td>-0.121777</td>\n",
       "      <td>-0.125989</td>\n",
       "      <td>-0.093079</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.037305</td>\n",
       "      <td>-0.082864</td>\n",
       "      <td>0.054203</td>\n",
       "      <td>0.018361</td>\n",
       "      <td>-0.028887</td>\n",
       "      <td>-0.009916</td>\n",
       "      <td>-0.128578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3SsnPorch</th>\n",
       "      <td>-0.043825</td>\n",
       "      <td>0.062335</td>\n",
       "      <td>0.020423</td>\n",
       "      <td>0.030371</td>\n",
       "      <td>0.025504</td>\n",
       "      <td>0.031355</td>\n",
       "      <td>0.045286</td>\n",
       "      <td>0.018795</td>\n",
       "      <td>0.026451</td>\n",
       "      <td>-0.029993</td>\n",
       "      <td>0.020764</td>\n",
       "      <td>0.037384</td>\n",
       "      <td>0.056104</td>\n",
       "      <td>-0.024358</td>\n",
       "      <td>-0.004296</td>\n",
       "      <td>0.020643</td>\n",
       "      <td>-0.000106</td>\n",
       "      <td>0.035114</td>\n",
       "      <td>0.035353</td>\n",
       "      <td>-0.004972</td>\n",
       "      <td>-0.024478</td>\n",
       "      <td>-0.024600</td>\n",
       "      <td>-0.006683</td>\n",
       "      <td>0.011257</td>\n",
       "      <td>0.023534</td>\n",
       "      <td>0.035765</td>\n",
       "      <td>0.035087</td>\n",
       "      <td>-0.032771</td>\n",
       "      <td>-0.005842</td>\n",
       "      <td>-0.037305</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.031436</td>\n",
       "      <td>-0.007992</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>0.029474</td>\n",
       "      <td>0.018645</td>\n",
       "      <td>0.044584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ScreenPorch</th>\n",
       "      <td>-0.026030</td>\n",
       "      <td>0.037684</td>\n",
       "      <td>0.043160</td>\n",
       "      <td>0.064886</td>\n",
       "      <td>0.054811</td>\n",
       "      <td>-0.050364</td>\n",
       "      <td>-0.038740</td>\n",
       "      <td>0.061453</td>\n",
       "      <td>0.062021</td>\n",
       "      <td>0.088871</td>\n",
       "      <td>-0.012579</td>\n",
       "      <td>0.084489</td>\n",
       "      <td>0.088758</td>\n",
       "      <td>0.040606</td>\n",
       "      <td>0.026799</td>\n",
       "      <td>0.101510</td>\n",
       "      <td>0.023148</td>\n",
       "      <td>0.032121</td>\n",
       "      <td>-0.008106</td>\n",
       "      <td>0.072426</td>\n",
       "      <td>0.044300</td>\n",
       "      <td>-0.051613</td>\n",
       "      <td>0.059383</td>\n",
       "      <td>0.184530</td>\n",
       "      <td>-0.075256</td>\n",
       "      <td>0.050494</td>\n",
       "      <td>0.051412</td>\n",
       "      <td>-0.074181</td>\n",
       "      <td>0.074304</td>\n",
       "      <td>-0.082864</td>\n",
       "      <td>-0.031436</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.051307</td>\n",
       "      <td>0.031946</td>\n",
       "      <td>0.023217</td>\n",
       "      <td>0.010694</td>\n",
       "      <td>0.111447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PoolArea</th>\n",
       "      <td>0.008283</td>\n",
       "      <td>0.180868</td>\n",
       "      <td>0.077672</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>-0.001985</td>\n",
       "      <td>0.004950</td>\n",
       "      <td>0.005829</td>\n",
       "      <td>0.011723</td>\n",
       "      <td>0.140491</td>\n",
       "      <td>0.041709</td>\n",
       "      <td>-0.035092</td>\n",
       "      <td>0.126053</td>\n",
       "      <td>0.131525</td>\n",
       "      <td>0.081487</td>\n",
       "      <td>0.062157</td>\n",
       "      <td>0.170205</td>\n",
       "      <td>0.067616</td>\n",
       "      <td>0.020025</td>\n",
       "      <td>0.049604</td>\n",
       "      <td>0.022381</td>\n",
       "      <td>0.070703</td>\n",
       "      <td>-0.014525</td>\n",
       "      <td>0.083757</td>\n",
       "      <td>0.095074</td>\n",
       "      <td>-0.014499</td>\n",
       "      <td>0.020934</td>\n",
       "      <td>0.061047</td>\n",
       "      <td>0.073378</td>\n",
       "      <td>0.060762</td>\n",
       "      <td>0.054203</td>\n",
       "      <td>-0.007992</td>\n",
       "      <td>0.051307</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.029669</td>\n",
       "      <td>-0.033737</td>\n",
       "      <td>-0.059689</td>\n",
       "      <td>0.092404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscVal</th>\n",
       "      <td>-0.007683</td>\n",
       "      <td>0.001168</td>\n",
       "      <td>0.038068</td>\n",
       "      <td>-0.031406</td>\n",
       "      <td>0.068777</td>\n",
       "      <td>-0.034383</td>\n",
       "      <td>-0.010286</td>\n",
       "      <td>-0.029815</td>\n",
       "      <td>0.003571</td>\n",
       "      <td>0.004940</td>\n",
       "      <td>-0.023837</td>\n",
       "      <td>-0.018479</td>\n",
       "      <td>-0.021096</td>\n",
       "      <td>0.016197</td>\n",
       "      <td>-0.003793</td>\n",
       "      <td>-0.002416</td>\n",
       "      <td>-0.023047</td>\n",
       "      <td>-0.007367</td>\n",
       "      <td>-0.014290</td>\n",
       "      <td>0.001290</td>\n",
       "      <td>0.007767</td>\n",
       "      <td>0.062341</td>\n",
       "      <td>0.024763</td>\n",
       "      <td>0.001409</td>\n",
       "      <td>-0.031853</td>\n",
       "      <td>-0.043080</td>\n",
       "      <td>-0.027400</td>\n",
       "      <td>-0.009551</td>\n",
       "      <td>-0.018584</td>\n",
       "      <td>0.018361</td>\n",
       "      <td>0.000354</td>\n",
       "      <td>0.031946</td>\n",
       "      <td>0.029669</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.006495</td>\n",
       "      <td>0.004906</td>\n",
       "      <td>-0.021190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MoSold</th>\n",
       "      <td>-0.013585</td>\n",
       "      <td>0.010158</td>\n",
       "      <td>0.001205</td>\n",
       "      <td>0.070815</td>\n",
       "      <td>-0.003511</td>\n",
       "      <td>0.012398</td>\n",
       "      <td>0.021490</td>\n",
       "      <td>-0.005940</td>\n",
       "      <td>-0.015727</td>\n",
       "      <td>-0.015211</td>\n",
       "      <td>0.034888</td>\n",
       "      <td>0.013196</td>\n",
       "      <td>0.031372</td>\n",
       "      <td>0.035164</td>\n",
       "      <td>-0.022174</td>\n",
       "      <td>0.050240</td>\n",
       "      <td>-0.025361</td>\n",
       "      <td>0.032873</td>\n",
       "      <td>0.055872</td>\n",
       "      <td>-0.009050</td>\n",
       "      <td>0.046544</td>\n",
       "      <td>0.026589</td>\n",
       "      <td>0.036907</td>\n",
       "      <td>0.046357</td>\n",
       "      <td>0.005173</td>\n",
       "      <td>0.040522</td>\n",
       "      <td>0.027974</td>\n",
       "      <td>0.021011</td>\n",
       "      <td>0.071255</td>\n",
       "      <td>-0.028887</td>\n",
       "      <td>0.029474</td>\n",
       "      <td>0.023217</td>\n",
       "      <td>-0.033737</td>\n",
       "      <td>-0.006495</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.145721</td>\n",
       "      <td>0.046432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YrSold</th>\n",
       "      <td>-0.021407</td>\n",
       "      <td>0.006768</td>\n",
       "      <td>-0.014261</td>\n",
       "      <td>-0.027347</td>\n",
       "      <td>0.043950</td>\n",
       "      <td>-0.013618</td>\n",
       "      <td>0.035743</td>\n",
       "      <td>-0.008184</td>\n",
       "      <td>0.014359</td>\n",
       "      <td>0.031706</td>\n",
       "      <td>-0.041258</td>\n",
       "      <td>-0.014969</td>\n",
       "      <td>-0.013604</td>\n",
       "      <td>-0.028700</td>\n",
       "      <td>-0.028921</td>\n",
       "      <td>-0.036526</td>\n",
       "      <td>0.067049</td>\n",
       "      <td>-0.046524</td>\n",
       "      <td>-0.019669</td>\n",
       "      <td>-0.010269</td>\n",
       "      <td>-0.036014</td>\n",
       "      <td>0.031687</td>\n",
       "      <td>-0.034516</td>\n",
       "      <td>-0.024096</td>\n",
       "      <td>-0.000987</td>\n",
       "      <td>-0.039117</td>\n",
       "      <td>-0.027378</td>\n",
       "      <td>0.022270</td>\n",
       "      <td>-0.057619</td>\n",
       "      <td>-0.009916</td>\n",
       "      <td>0.018645</td>\n",
       "      <td>0.010694</td>\n",
       "      <td>-0.059689</td>\n",
       "      <td>0.004906</td>\n",
       "      <td>-0.145721</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.028923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SalePrice</th>\n",
       "      <td>-0.084284</td>\n",
       "      <td>0.334901</td>\n",
       "      <td>0.263843</td>\n",
       "      <td>0.790982</td>\n",
       "      <td>-0.077856</td>\n",
       "      <td>0.522897</td>\n",
       "      <td>0.507101</td>\n",
       "      <td>0.475241</td>\n",
       "      <td>0.386420</td>\n",
       "      <td>-0.011378</td>\n",
       "      <td>0.214479</td>\n",
       "      <td>0.613581</td>\n",
       "      <td>0.605852</td>\n",
       "      <td>0.319334</td>\n",
       "      <td>-0.025606</td>\n",
       "      <td>0.708624</td>\n",
       "      <td>0.227122</td>\n",
       "      <td>-0.016844</td>\n",
       "      <td>0.560664</td>\n",
       "      <td>0.284108</td>\n",
       "      <td>0.168213</td>\n",
       "      <td>-0.135907</td>\n",
       "      <td>0.533723</td>\n",
       "      <td>0.466929</td>\n",
       "      <td>0.470177</td>\n",
       "      <td>0.640409</td>\n",
       "      <td>0.623431</td>\n",
       "      <td>0.324413</td>\n",
       "      <td>0.315856</td>\n",
       "      <td>-0.128578</td>\n",
       "      <td>0.044584</td>\n",
       "      <td>0.111447</td>\n",
       "      <td>0.092404</td>\n",
       "      <td>-0.021190</td>\n",
       "      <td>0.046432</td>\n",
       "      <td>-0.028923</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               MSSubClass  LotFrontage   LotArea  OverallQual  OverallCond  \\\n",
       "MSSubClass       1.000000    -0.357056 -0.139781     0.032628    -0.059316   \n",
       "LotFrontage     -0.357056     1.000000  0.306795     0.234196    -0.052820   \n",
       "LotArea         -0.139781     0.306795  1.000000     0.105806    -0.005636   \n",
       "OverallQual      0.032628     0.234196  0.105806     1.000000    -0.091932   \n",
       "OverallCond     -0.059316    -0.052820 -0.005636    -0.091932     1.000000   \n",
       "YearBuilt        0.027850     0.117598  0.014228     0.572323    -0.375983   \n",
       "YearRemodAdd     0.040581     0.082746  0.013788     0.550684     0.073741   \n",
       "MasVnrArea       0.022895     0.179283  0.103960     0.410238    -0.127788   \n",
       "BsmtFinSF1      -0.069836     0.215828  0.214103     0.239666    -0.046231   \n",
       "BsmtFinSF2      -0.065649     0.043340  0.111170    -0.059119     0.040229   \n",
       "BsmtUnfSF       -0.140759     0.122156 -0.002618     0.308159    -0.136841   \n",
       "TotalBsmtSF     -0.238518     0.363358  0.260833     0.537808    -0.171098   \n",
       "1stFlrSF        -0.251758     0.414266  0.299475     0.476224    -0.144203   \n",
       "2ndFlrSF         0.307886     0.072483  0.050986     0.295493     0.028942   \n",
       "LowQualFinSF     0.046474     0.036849  0.004779    -0.030429     0.025494   \n",
       "GrLivArea        0.074853     0.368392  0.263116     0.593007    -0.079686   \n",
       "BsmtFullBath     0.003491     0.091481  0.158155     0.111098    -0.054942   \n",
       "BsmtHalfBath    -0.002333    -0.006419  0.048046    -0.040150     0.117821   \n",
       "FullBath         0.131608     0.180424  0.126031     0.550600    -0.194149   \n",
       "HalfBath         0.177354     0.048258  0.014259     0.273458    -0.060769   \n",
       "BedroomAbvGr    -0.023438     0.237023  0.119690     0.101676     0.012980   \n",
       "KitchenAbvGr     0.281721    -0.005805 -0.017784    -0.183882    -0.087001   \n",
       "TotRmsAbvGrd     0.040380     0.320146  0.190015     0.427452    -0.057583   \n",
       "Fireplaces      -0.045569     0.235755  0.271364     0.396765    -0.023820   \n",
       "GarageYrBlt      0.080187     0.064324 -0.024812     0.518018    -0.306169   \n",
       "GarageCars      -0.040110     0.269729  0.154871     0.600671    -0.185758   \n",
       "GarageArea      -0.098672     0.323663  0.180403     0.562022    -0.151521   \n",
       "WoodDeckSF      -0.012579     0.077106  0.171698     0.238923    -0.003334   \n",
       "OpenPorchSF     -0.006100     0.137454  0.084774     0.308819    -0.032589   \n",
       "EnclosedPorch   -0.012037     0.009790 -0.018340    -0.113937     0.070356   \n",
       "3SsnPorch       -0.043825     0.062335  0.020423     0.030371     0.025504   \n",
       "ScreenPorch     -0.026030     0.037684  0.043160     0.064886     0.054811   \n",
       "PoolArea         0.008283     0.180868  0.077672     0.065166    -0.001985   \n",
       "MiscVal         -0.007683     0.001168  0.038068    -0.031406     0.068777   \n",
       "MoSold          -0.013585     0.010158  0.001205     0.070815    -0.003511   \n",
       "YrSold          -0.021407     0.006768 -0.014261    -0.027347     0.043950   \n",
       "SalePrice       -0.084284     0.334901  0.263843     0.790982    -0.077856   \n",
       "\n",
       "               YearBuilt  YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  \\\n",
       "MSSubClass      0.027850      0.040581    0.022895   -0.069836   -0.065649   \n",
       "LotFrontage     0.117598      0.082746    0.179283    0.215828    0.043340   \n",
       "LotArea         0.014228      0.013788    0.103960    0.214103    0.111170   \n",
       "OverallQual     0.572323      0.550684    0.410238    0.239666   -0.059119   \n",
       "OverallCond    -0.375983      0.073741   -0.127788   -0.046231    0.040229   \n",
       "YearBuilt       1.000000      0.592855    0.314745    0.249503   -0.049107   \n",
       "YearRemodAdd    0.592855      1.000000    0.179186    0.128451   -0.067759   \n",
       "MasVnrArea      0.314745      0.179186    1.000000    0.263582   -0.072302   \n",
       "BsmtFinSF1      0.249503      0.128451    0.263582    1.000000   -0.050117   \n",
       "BsmtFinSF2     -0.049107     -0.067759   -0.072302   -0.050117    1.000000   \n",
       "BsmtUnfSF       0.149040      0.181133    0.114184   -0.495251   -0.209294   \n",
       "TotalBsmtSF     0.391452      0.291066    0.362452    0.522396    0.104810   \n",
       "1stFlrSF        0.281986      0.240379    0.342160    0.445863    0.097117   \n",
       "2ndFlrSF        0.010308      0.140024    0.174019   -0.137079   -0.099260   \n",
       "LowQualFinSF   -0.183784     -0.062419   -0.069068   -0.064503    0.014807   \n",
       "GrLivArea       0.199010      0.287389    0.389893    0.208171   -0.009640   \n",
       "BsmtFullBath    0.187599      0.119470    0.085055    0.649212    0.158678   \n",
       "BsmtHalfBath   -0.038162     -0.012337    0.026669    0.067418    0.070948   \n",
       "FullBath        0.468271      0.439046    0.275730    0.058543   -0.076444   \n",
       "HalfBath        0.242656      0.183331    0.200802    0.004262   -0.032148   \n",
       "BedroomAbvGr   -0.070651     -0.040581    0.102417   -0.107355   -0.015728   \n",
       "KitchenAbvGr   -0.174800     -0.149598   -0.037364   -0.081007   -0.040751   \n",
       "TotRmsAbvGrd    0.095589      0.191740    0.280027    0.044316   -0.035227   \n",
       "Fireplaces      0.147716      0.112581    0.247906    0.260011    0.046921   \n",
       "GarageYrBlt     0.780555      0.618130    0.249367    0.150338   -0.087126   \n",
       "GarageCars      0.537850      0.420622    0.363778    0.224054   -0.038264   \n",
       "GarageArea      0.478954      0.371600    0.372567    0.296970   -0.018227   \n",
       "WoodDeckSF      0.224880      0.205726    0.159349    0.204306    0.067898   \n",
       "OpenPorchSF     0.188686      0.226298    0.124965    0.111761    0.003093   \n",
       "EnclosedPorch  -0.387268     -0.193919   -0.109849   -0.102303    0.036543   \n",
       "3SsnPorch       0.031355      0.045286    0.018795    0.026451   -0.029993   \n",
       "ScreenPorch    -0.050364     -0.038740    0.061453    0.062021    0.088871   \n",
       "PoolArea        0.004950      0.005829    0.011723    0.140491    0.041709   \n",
       "MiscVal        -0.034383     -0.010286   -0.029815    0.003571    0.004940   \n",
       "MoSold          0.012398      0.021490   -0.005940   -0.015727   -0.015211   \n",
       "YrSold         -0.013618      0.035743   -0.008184    0.014359    0.031706   \n",
       "SalePrice       0.522897      0.507101    0.475241    0.386420   -0.011378   \n",
       "\n",
       "               BsmtUnfSF  TotalBsmtSF  1stFlrSF  2ndFlrSF  LowQualFinSF  \\\n",
       "MSSubClass     -0.140759    -0.238518 -0.251758  0.307886      0.046474   \n",
       "LotFrontage     0.122156     0.363358  0.414266  0.072483      0.036849   \n",
       "LotArea        -0.002618     0.260833  0.299475  0.050986      0.004779   \n",
       "OverallQual     0.308159     0.537808  0.476224  0.295493     -0.030429   \n",
       "OverallCond    -0.136841    -0.171098 -0.144203  0.028942      0.025494   \n",
       "YearBuilt       0.149040     0.391452  0.281986  0.010308     -0.183784   \n",
       "YearRemodAdd    0.181133     0.291066  0.240379  0.140024     -0.062419   \n",
       "MasVnrArea      0.114184     0.362452  0.342160  0.174019     -0.069068   \n",
       "BsmtFinSF1     -0.495251     0.522396  0.445863 -0.137079     -0.064503   \n",
       "BsmtFinSF2     -0.209294     0.104810  0.097117 -0.099260      0.014807   \n",
       "BsmtUnfSF       1.000000     0.415360  0.317987  0.004469      0.028167   \n",
       "TotalBsmtSF     0.415360     1.000000  0.819530 -0.174512     -0.033245   \n",
       "1stFlrSF        0.317987     0.819530  1.000000 -0.202646     -0.014241   \n",
       "2ndFlrSF        0.004469    -0.174512 -0.202646  1.000000      0.063353   \n",
       "LowQualFinSF    0.028167    -0.033245 -0.014241  0.063353      1.000000   \n",
       "GrLivArea       0.240257     0.454868  0.566024  0.687501      0.134683   \n",
       "BsmtFullBath   -0.422900     0.307351  0.244671 -0.169494     -0.047143   \n",
       "BsmtHalfBath   -0.095804    -0.000315  0.001956 -0.023855     -0.005842   \n",
       "FullBath        0.288886     0.323722  0.380637  0.421378     -0.000710   \n",
       "HalfBath       -0.041118    -0.048804 -0.119916  0.609707     -0.027080   \n",
       "BedroomAbvGr    0.166643     0.050450  0.127401  0.502901      0.105607   \n",
       "KitchenAbvGr    0.030086    -0.068901  0.068101  0.059306      0.007522   \n",
       "TotRmsAbvGrd    0.250647     0.285573  0.409516  0.616423      0.131185   \n",
       "Fireplaces      0.051575     0.339519  0.410531  0.194561     -0.021272   \n",
       "GarageYrBlt     0.186098     0.311700  0.227127  0.069315     -0.029167   \n",
       "GarageCars      0.214175     0.434585  0.439317  0.183926     -0.094480   \n",
       "GarageArea      0.183303     0.486665  0.489782  0.138347     -0.067601   \n",
       "WoodDeckSF     -0.005316     0.232019  0.235459  0.092165     -0.025444   \n",
       "OpenPorchSF     0.129005     0.247264  0.211671  0.208026      0.018251   \n",
       "EnclosedPorch  -0.002538    -0.095478 -0.065292  0.061989      0.061081   \n",
       "3SsnPorch       0.020764     0.037384  0.056104 -0.024358     -0.004296   \n",
       "ScreenPorch    -0.012579     0.084489  0.088758  0.040606      0.026799   \n",
       "PoolArea       -0.035092     0.126053  0.131525  0.081487      0.062157   \n",
       "MiscVal        -0.023837    -0.018479 -0.021096  0.016197     -0.003793   \n",
       "MoSold          0.034888     0.013196  0.031372  0.035164     -0.022174   \n",
       "YrSold         -0.041258    -0.014969 -0.013604 -0.028700     -0.028921   \n",
       "SalePrice       0.214479     0.613581  0.605852  0.319334     -0.025606   \n",
       "\n",
       "               GrLivArea  BsmtFullBath  BsmtHalfBath  FullBath  HalfBath  \\\n",
       "MSSubClass      0.074853      0.003491     -0.002333  0.131608  0.177354   \n",
       "LotFrontage     0.368392      0.091481     -0.006419  0.180424  0.048258   \n",
       "LotArea         0.263116      0.158155      0.048046  0.126031  0.014259   \n",
       "OverallQual     0.593007      0.111098     -0.040150  0.550600  0.273458   \n",
       "OverallCond    -0.079686     -0.054942      0.117821 -0.194149 -0.060769   \n",
       "YearBuilt       0.199010      0.187599     -0.038162  0.468271  0.242656   \n",
       "YearRemodAdd    0.287389      0.119470     -0.012337  0.439046  0.183331   \n",
       "MasVnrArea      0.389893      0.085055      0.026669  0.275730  0.200802   \n",
       "BsmtFinSF1      0.208171      0.649212      0.067418  0.058543  0.004262   \n",
       "BsmtFinSF2     -0.009640      0.158678      0.070948 -0.076444 -0.032148   \n",
       "BsmtUnfSF       0.240257     -0.422900     -0.095804  0.288886 -0.041118   \n",
       "TotalBsmtSF     0.454868      0.307351     -0.000315  0.323722 -0.048804   \n",
       "1stFlrSF        0.566024      0.244671      0.001956  0.380637 -0.119916   \n",
       "2ndFlrSF        0.687501     -0.169494     -0.023855  0.421378  0.609707   \n",
       "LowQualFinSF    0.134683     -0.047143     -0.005842 -0.000710 -0.027080   \n",
       "GrLivArea       1.000000      0.034836     -0.018918  0.630012  0.415772   \n",
       "BsmtFullBath    0.034836      1.000000     -0.147871 -0.064512 -0.030905   \n",
       "BsmtHalfBath   -0.018918     -0.147871      1.000000 -0.054536 -0.012340   \n",
       "FullBath        0.630012     -0.064512     -0.054536  1.000000  0.136381   \n",
       "HalfBath        0.415772     -0.030905     -0.012340  0.136381  1.000000   \n",
       "BedroomAbvGr    0.521270     -0.150673      0.046519  0.363252  0.226651   \n",
       "KitchenAbvGr    0.100063     -0.041503     -0.037944  0.133115 -0.068263   \n",
       "TotRmsAbvGrd    0.825489     -0.053275     -0.023836  0.554784  0.343415   \n",
       "Fireplaces      0.461679      0.137928      0.028976  0.243671  0.203649   \n",
       "GarageYrBlt     0.221977      0.119912     -0.075135  0.468466  0.191061   \n",
       "GarageCars      0.467247      0.131881     -0.020891  0.469672  0.219178   \n",
       "GarageArea      0.468997      0.179189     -0.024536  0.405656  0.163549   \n",
       "WoodDeckSF      0.247433      0.175315      0.040161  0.187703  0.108080   \n",
       "OpenPorchSF     0.330224      0.067341     -0.025324  0.259977  0.199740   \n",
       "EnclosedPorch   0.009113     -0.049911     -0.008555 -0.115093 -0.095317   \n",
       "3SsnPorch       0.020643     -0.000106      0.035114  0.035353 -0.004972   \n",
       "ScreenPorch     0.101510      0.023148      0.032121 -0.008106  0.072426   \n",
       "PoolArea        0.170205      0.067616      0.020025  0.049604  0.022381   \n",
       "MiscVal        -0.002416     -0.023047     -0.007367 -0.014290  0.001290   \n",
       "MoSold          0.050240     -0.025361      0.032873  0.055872 -0.009050   \n",
       "YrSold         -0.036526      0.067049     -0.046524 -0.019669 -0.010269   \n",
       "SalePrice       0.708624      0.227122     -0.016844  0.560664  0.284108   \n",
       "\n",
       "               BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd  Fireplaces  \\\n",
       "MSSubClass        -0.023438      0.281721      0.040380   -0.045569   \n",
       "LotFrontage        0.237023     -0.005805      0.320146    0.235755   \n",
       "LotArea            0.119690     -0.017784      0.190015    0.271364   \n",
       "OverallQual        0.101676     -0.183882      0.427452    0.396765   \n",
       "OverallCond        0.012980     -0.087001     -0.057583   -0.023820   \n",
       "YearBuilt         -0.070651     -0.174800      0.095589    0.147716   \n",
       "YearRemodAdd      -0.040581     -0.149598      0.191740    0.112581   \n",
       "MasVnrArea         0.102417     -0.037364      0.280027    0.247906   \n",
       "BsmtFinSF1        -0.107355     -0.081007      0.044316    0.260011   \n",
       "BsmtFinSF2        -0.015728     -0.040751     -0.035227    0.046921   \n",
       "BsmtUnfSF          0.166643      0.030086      0.250647    0.051575   \n",
       "TotalBsmtSF        0.050450     -0.068901      0.285573    0.339519   \n",
       "1stFlrSF           0.127401      0.068101      0.409516    0.410531   \n",
       "2ndFlrSF           0.502901      0.059306      0.616423    0.194561   \n",
       "LowQualFinSF       0.105607      0.007522      0.131185   -0.021272   \n",
       "GrLivArea          0.521270      0.100063      0.825489    0.461679   \n",
       "BsmtFullBath      -0.150673     -0.041503     -0.053275    0.137928   \n",
       "BsmtHalfBath       0.046519     -0.037944     -0.023836    0.028976   \n",
       "FullBath           0.363252      0.133115      0.554784    0.243671   \n",
       "HalfBath           0.226651     -0.068263      0.343415    0.203649   \n",
       "BedroomAbvGr       1.000000      0.198597      0.676620    0.107570   \n",
       "KitchenAbvGr       0.198597      1.000000      0.256045   -0.123936   \n",
       "TotRmsAbvGrd       0.676620      0.256045      1.000000    0.326114   \n",
       "Fireplaces         0.107570     -0.123936      0.326114    1.000000   \n",
       "GarageYrBlt       -0.060256     -0.107579      0.140791    0.045596   \n",
       "GarageCars         0.086106     -0.050634      0.362289    0.300789   \n",
       "GarageArea         0.065253     -0.064433      0.337822    0.269141   \n",
       "WoodDeckSF         0.046854     -0.090130      0.165984    0.200019   \n",
       "OpenPorchSF        0.093810     -0.070091      0.234192    0.169405   \n",
       "EnclosedPorch      0.041570      0.037312      0.004151   -0.024822   \n",
       "3SsnPorch         -0.024478     -0.024600     -0.006683    0.011257   \n",
       "ScreenPorch        0.044300     -0.051613      0.059383    0.184530   \n",
       "PoolArea           0.070703     -0.014525      0.083757    0.095074   \n",
       "MiscVal            0.007767      0.062341      0.024763    0.001409   \n",
       "MoSold             0.046544      0.026589      0.036907    0.046357   \n",
       "YrSold            -0.036014      0.031687     -0.034516   -0.024096   \n",
       "SalePrice          0.168213     -0.135907      0.533723    0.466929   \n",
       "\n",
       "               GarageYrBlt  GarageCars  GarageArea  WoodDeckSF  OpenPorchSF  \\\n",
       "MSSubClass        0.080187   -0.040110   -0.098672   -0.012579    -0.006100   \n",
       "LotFrontage       0.064324    0.269729    0.323663    0.077106     0.137454   \n",
       "LotArea          -0.024812    0.154871    0.180403    0.171698     0.084774   \n",
       "OverallQual       0.518018    0.600671    0.562022    0.238923     0.308819   \n",
       "OverallCond      -0.306169   -0.185758   -0.151521   -0.003334    -0.032589   \n",
       "YearBuilt         0.780555    0.537850    0.478954    0.224880     0.188686   \n",
       "YearRemodAdd      0.618130    0.420622    0.371600    0.205726     0.226298   \n",
       "MasVnrArea        0.249367    0.363778    0.372567    0.159349     0.124965   \n",
       "BsmtFinSF1        0.150338    0.224054    0.296970    0.204306     0.111761   \n",
       "BsmtFinSF2       -0.087126   -0.038264   -0.018227    0.067898     0.003093   \n",
       "BsmtUnfSF         0.186098    0.214175    0.183303   -0.005316     0.129005   \n",
       "TotalBsmtSF       0.311700    0.434585    0.486665    0.232019     0.247264   \n",
       "1stFlrSF          0.227127    0.439317    0.489782    0.235459     0.211671   \n",
       "2ndFlrSF          0.069315    0.183926    0.138347    0.092165     0.208026   \n",
       "LowQualFinSF     -0.029167   -0.094480   -0.067601   -0.025444     0.018251   \n",
       "GrLivArea         0.221977    0.467247    0.468997    0.247433     0.330224   \n",
       "BsmtFullBath      0.119912    0.131881    0.179189    0.175315     0.067341   \n",
       "BsmtHalfBath     -0.075135   -0.020891   -0.024536    0.040161    -0.025324   \n",
       "FullBath          0.468466    0.469672    0.405656    0.187703     0.259977   \n",
       "HalfBath          0.191061    0.219178    0.163549    0.108080     0.199740   \n",
       "BedroomAbvGr     -0.060256    0.086106    0.065253    0.046854     0.093810   \n",
       "KitchenAbvGr     -0.107579   -0.050634   -0.064433   -0.090130    -0.070091   \n",
       "TotRmsAbvGrd      0.140791    0.362289    0.337822    0.165984     0.234192   \n",
       "Fireplaces        0.045596    0.300789    0.269141    0.200019     0.169405   \n",
       "GarageYrBlt       1.000000    0.482534    0.476498    0.220623     0.218490   \n",
       "GarageCars        0.482534    1.000000    0.882475    0.226342     0.213569   \n",
       "GarageArea        0.476498    0.882475    1.000000    0.224666     0.241435   \n",
       "WoodDeckSF        0.220623    0.226342    0.224666    1.000000     0.058661   \n",
       "OpenPorchSF       0.218490    0.213569    0.241435    0.058661     1.000000   \n",
       "EnclosedPorch    -0.285882   -0.151434   -0.121777   -0.125989    -0.093079   \n",
       "3SsnPorch         0.023534    0.035765    0.035087   -0.032771    -0.005842   \n",
       "ScreenPorch      -0.075256    0.050494    0.051412   -0.074181     0.074304   \n",
       "PoolArea         -0.014499    0.020934    0.061047    0.073378     0.060762   \n",
       "MiscVal          -0.031853   -0.043080   -0.027400   -0.009551    -0.018584   \n",
       "MoSold            0.005173    0.040522    0.027974    0.021011     0.071255   \n",
       "YrSold           -0.000987   -0.039117   -0.027378    0.022270    -0.057619   \n",
       "SalePrice         0.470177    0.640409    0.623431    0.324413     0.315856   \n",
       "\n",
       "               EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea   MiscVal  \\\n",
       "MSSubClass         -0.012037  -0.043825    -0.026030  0.008283 -0.007683   \n",
       "LotFrontage         0.009790   0.062335     0.037684  0.180868  0.001168   \n",
       "LotArea            -0.018340   0.020423     0.043160  0.077672  0.038068   \n",
       "OverallQual        -0.113937   0.030371     0.064886  0.065166 -0.031406   \n",
       "OverallCond         0.070356   0.025504     0.054811 -0.001985  0.068777   \n",
       "YearBuilt          -0.387268   0.031355    -0.050364  0.004950 -0.034383   \n",
       "YearRemodAdd       -0.193919   0.045286    -0.038740  0.005829 -0.010286   \n",
       "MasVnrArea         -0.109849   0.018795     0.061453  0.011723 -0.029815   \n",
       "BsmtFinSF1         -0.102303   0.026451     0.062021  0.140491  0.003571   \n",
       "BsmtFinSF2          0.036543  -0.029993     0.088871  0.041709  0.004940   \n",
       "BsmtUnfSF          -0.002538   0.020764    -0.012579 -0.035092 -0.023837   \n",
       "TotalBsmtSF        -0.095478   0.037384     0.084489  0.126053 -0.018479   \n",
       "1stFlrSF           -0.065292   0.056104     0.088758  0.131525 -0.021096   \n",
       "2ndFlrSF            0.061989  -0.024358     0.040606  0.081487  0.016197   \n",
       "LowQualFinSF        0.061081  -0.004296     0.026799  0.062157 -0.003793   \n",
       "GrLivArea           0.009113   0.020643     0.101510  0.170205 -0.002416   \n",
       "BsmtFullBath       -0.049911  -0.000106     0.023148  0.067616 -0.023047   \n",
       "BsmtHalfBath       -0.008555   0.035114     0.032121  0.020025 -0.007367   \n",
       "FullBath           -0.115093   0.035353    -0.008106  0.049604 -0.014290   \n",
       "HalfBath           -0.095317  -0.004972     0.072426  0.022381  0.001290   \n",
       "BedroomAbvGr        0.041570  -0.024478     0.044300  0.070703  0.007767   \n",
       "KitchenAbvGr        0.037312  -0.024600    -0.051613 -0.014525  0.062341   \n",
       "TotRmsAbvGrd        0.004151  -0.006683     0.059383  0.083757  0.024763   \n",
       "Fireplaces         -0.024822   0.011257     0.184530  0.095074  0.001409   \n",
       "GarageYrBlt        -0.285882   0.023534    -0.075256 -0.014499 -0.031853   \n",
       "GarageCars         -0.151434   0.035765     0.050494  0.020934 -0.043080   \n",
       "GarageArea         -0.121777   0.035087     0.051412  0.061047 -0.027400   \n",
       "WoodDeckSF         -0.125989  -0.032771    -0.074181  0.073378 -0.009551   \n",
       "OpenPorchSF        -0.093079  -0.005842     0.074304  0.060762 -0.018584   \n",
       "EnclosedPorch       1.000000  -0.037305    -0.082864  0.054203  0.018361   \n",
       "3SsnPorch          -0.037305   1.000000    -0.031436 -0.007992  0.000354   \n",
       "ScreenPorch        -0.082864  -0.031436     1.000000  0.051307  0.031946   \n",
       "PoolArea            0.054203  -0.007992     0.051307  1.000000  0.029669   \n",
       "MiscVal             0.018361   0.000354     0.031946  0.029669  1.000000   \n",
       "MoSold             -0.028887   0.029474     0.023217 -0.033737 -0.006495   \n",
       "YrSold             -0.009916   0.018645     0.010694 -0.059689  0.004906   \n",
       "SalePrice          -0.128578   0.044584     0.111447  0.092404 -0.021190   \n",
       "\n",
       "                 MoSold    YrSold  SalePrice  \n",
       "MSSubClass    -0.013585 -0.021407  -0.084284  \n",
       "LotFrontage    0.010158  0.006768   0.334901  \n",
       "LotArea        0.001205 -0.014261   0.263843  \n",
       "OverallQual    0.070815 -0.027347   0.790982  \n",
       "OverallCond   -0.003511  0.043950  -0.077856  \n",
       "YearBuilt      0.012398 -0.013618   0.522897  \n",
       "YearRemodAdd   0.021490  0.035743   0.507101  \n",
       "MasVnrArea    -0.005940 -0.008184   0.475241  \n",
       "BsmtFinSF1    -0.015727  0.014359   0.386420  \n",
       "BsmtFinSF2    -0.015211  0.031706  -0.011378  \n",
       "BsmtUnfSF      0.034888 -0.041258   0.214479  \n",
       "TotalBsmtSF    0.013196 -0.014969   0.613581  \n",
       "1stFlrSF       0.031372 -0.013604   0.605852  \n",
       "2ndFlrSF       0.035164 -0.028700   0.319334  \n",
       "LowQualFinSF  -0.022174 -0.028921  -0.025606  \n",
       "GrLivArea      0.050240 -0.036526   0.708624  \n",
       "BsmtFullBath  -0.025361  0.067049   0.227122  \n",
       "BsmtHalfBath   0.032873 -0.046524  -0.016844  \n",
       "FullBath       0.055872 -0.019669   0.560664  \n",
       "HalfBath      -0.009050 -0.010269   0.284108  \n",
       "BedroomAbvGr   0.046544 -0.036014   0.168213  \n",
       "KitchenAbvGr   0.026589  0.031687  -0.135907  \n",
       "TotRmsAbvGrd   0.036907 -0.034516   0.533723  \n",
       "Fireplaces     0.046357 -0.024096   0.466929  \n",
       "GarageYrBlt    0.005173 -0.000987   0.470177  \n",
       "GarageCars     0.040522 -0.039117   0.640409  \n",
       "GarageArea     0.027974 -0.027378   0.623431  \n",
       "WoodDeckSF     0.021011  0.022270   0.324413  \n",
       "OpenPorchSF    0.071255 -0.057619   0.315856  \n",
       "EnclosedPorch -0.028887 -0.009916  -0.128578  \n",
       "3SsnPorch      0.029474  0.018645   0.044584  \n",
       "ScreenPorch    0.023217  0.010694   0.111447  \n",
       "PoolArea      -0.033737 -0.059689   0.092404  \n",
       "MiscVal       -0.006495  0.004906  -0.021190  \n",
       "MoSold         1.000000 -0.145721   0.046432  \n",
       "YrSold        -0.145721  1.000000  -0.028923  \n",
       "SalePrice      0.046432 -0.028923   1.000000  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "corr = t.corr()\n",
    "plt.figure(figsize=(15, 15))\n",
    "sns.heatmap(corr, vmax=1, square=True)\n",
    "plt.show()\n",
    "display(corr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1460, 37)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>MSZoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>LandSlope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition1</th>\n",
       "      <th>Condition2</th>\n",
       "      <th>BldgType</th>\n",
       "      <th>HouseStyle</th>\n",
       "      <th>RoofStyle</th>\n",
       "      <th>RoofMatl</th>\n",
       "      <th>Exterior1st</th>\n",
       "      <th>Exterior2nd</th>\n",
       "      <th>MasVnrType</th>\n",
       "      <th>ExterQual</th>\n",
       "      <th>ExterCond</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>BsmtQual</th>\n",
       "      <th>BsmtCond</th>\n",
       "      <th>BsmtExposure</th>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>HeatingQC</th>\n",
       "      <th>CentralAir</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>KitchenQual</th>\n",
       "      <th>Functional</th>\n",
       "      <th>FireplaceQu</th>\n",
       "      <th>GarageType</th>\n",
       "      <th>GarageFinish</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>GarageCond</th>\n",
       "      <th>PavedDrive</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Veenker</td>\n",
       "      <td>Feedr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>None</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>TA</td>\n",
       "      <td>Typ</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Mn</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Crawfor</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Wd Shng</td>\n",
       "      <td>None</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>BrkTil</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NoRidge</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Av</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  MSZoning Street Alley LotShape LandContour Utilities LotConfig LandSlope  \\\n",
       "0       RL   Pave   NaN      Reg         Lvl    AllPub    Inside       Gtl   \n",
       "1       RL   Pave   NaN      Reg         Lvl    AllPub       FR2       Gtl   \n",
       "2       RL   Pave   NaN      IR1         Lvl    AllPub    Inside       Gtl   \n",
       "3       RL   Pave   NaN      IR1         Lvl    AllPub    Corner       Gtl   \n",
       "4       RL   Pave   NaN      IR1         Lvl    AllPub       FR2       Gtl   \n",
       "\n",
       "  Neighborhood Condition1 Condition2 BldgType HouseStyle RoofStyle RoofMatl  \\\n",
       "0      CollgCr       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "1      Veenker      Feedr       Norm     1Fam     1Story     Gable  CompShg   \n",
       "2      CollgCr       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "3      Crawfor       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "4      NoRidge       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "\n",
       "  Exterior1st Exterior2nd MasVnrType ExterQual ExterCond Foundation BsmtQual  \\\n",
       "0     VinylSd     VinylSd    BrkFace        Gd        TA      PConc       Gd   \n",
       "1     MetalSd     MetalSd       None        TA        TA     CBlock       Gd   \n",
       "2     VinylSd     VinylSd    BrkFace        Gd        TA      PConc       Gd   \n",
       "3     Wd Sdng     Wd Shng       None        TA        TA     BrkTil       TA   \n",
       "4     VinylSd     VinylSd    BrkFace        Gd        TA      PConc       Gd   \n",
       "\n",
       "  BsmtCond BsmtExposure BsmtFinType1 BsmtFinType2 Heating HeatingQC  \\\n",
       "0       TA           No          GLQ          Unf    GasA        Ex   \n",
       "1       TA           Gd          ALQ          Unf    GasA        Ex   \n",
       "2       TA           Mn          GLQ          Unf    GasA        Ex   \n",
       "3       Gd           No          ALQ          Unf    GasA        Gd   \n",
       "4       TA           Av          GLQ          Unf    GasA        Ex   \n",
       "\n",
       "  CentralAir Electrical KitchenQual Functional FireplaceQu GarageType  \\\n",
       "0          Y      SBrkr          Gd        Typ         NaN     Attchd   \n",
       "1          Y      SBrkr          TA        Typ          TA     Attchd   \n",
       "2          Y      SBrkr          Gd        Typ          TA     Attchd   \n",
       "3          Y      SBrkr          Gd        Typ          Gd     Detchd   \n",
       "4          Y      SBrkr          Gd        Typ          TA     Attchd   \n",
       "\n",
       "  GarageFinish GarageQual GarageCond PavedDrive PoolQC Fence MiscFeature  \\\n",
       "0          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "1          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "2          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "3          Unf         TA         TA          Y    NaN   NaN         NaN   \n",
       "4          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "\n",
       "  SaleType SaleCondition  \n",
       "0       WD        Normal  \n",
       "1       WD        Normal  \n",
       "2       WD        Normal  \n",
       "3       WD       Abnorml  \n",
       "4       WD        Normal  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = data.select_dtypes(include=['object'])\n",
    "#s.columns = data.select_dtypes(include=['object'])\n",
    "s.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "80"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.shape[1] + s.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "81"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MSZoning         {u'RL': 1151, u'RM': 218, u'RH': 16, u'FV': 65...\n",
       "Street                                 {u'Grvl': 6, u'Pave': 1454}\n",
       "Alley                        {nan: 1369, u'Grvl': 50, u'Pave': 41}\n",
       "LotShape         {u'IR1': 484, u'IR2': 41, u'IR3': 10, u'Reg': ...\n",
       "LandContour      {u'Bnk': 63, u'Lvl': 1311, u'HLS': 50, u'Low':...\n",
       "Utilities                          {u'AllPub': 1459, u'NoSeWa': 1}\n",
       "LotConfig        {u'CulDSac': 94, u'FR2': 47, u'Inside': 1052, ...\n",
       "LandSlope                   {u'Sev': 13, u'Gtl': 1382, u'Mod': 65}\n",
       "Neighborhood     {u'IDOTRR': 37, u'Edwards': 100, u'BrkSide': 5...\n",
       "Condition1       {u'PosN': 19, u'RRAe': 11, u'RRNe': 2, u'RRNn'...\n",
       "Condition2       {u'PosN': 2, u'RRAe': 1, u'RRNn': 2, u'RRAn': ...\n",
       "BldgType         {u'Duplex': 52, u'2fmCon': 31, u'Twnhs': 43, u...\n",
       "HouseStyle       {u'1.5Unf': 14, u'2.5Fin': 8, u'2Story': 445, ...\n",
       "RoofStyle        {u'Hip': 286, u'Flat': 13, u'Gable': 1141, u'M...\n",
       "RoofMatl         {u'Tar&Grv': 11, u'ClyTile': 1, u'Metal': 1, u...\n",
       "Exterior1st      {u'Stone': 2, u'HdBoard': 222, u'BrkComm': 2, ...\n",
       "Exterior2nd      {u'Stone': 5, u'HdBoard': 207, u'AsphShn': 3, ...\n",
       "MasVnrType       {nan: 8, u'None': 864, u'BrkFace': 445, u'Ston...\n",
       "ExterQual           {u'Fa': 14, u'Gd': 488, u'Ex': 52, u'TA': 906}\n",
       "ExterCond        {u'Fa': 28, u'Gd': 146, u'Ex': 3, u'Po': 1, u'...\n",
       "Foundation       {u'Stone': 6, u'BrkTil': 146, u'Slab': 24, u'P...\n",
       "BsmtQual         {nan: 37, u'Fa': 35, u'Gd': 618, u'Ex': 121, u...\n",
       "BsmtCond         {nan: 37, u'Fa': 45, u'Gd': 65, u'Po': 2, u'TA...\n",
       "BsmtExposure     {nan: 38, u'Av': 221, u'Gd': 134, u'Mn': 114, ...\n",
       "BsmtFinType1     {nan: 37, u'LwQ': 74, u'BLQ': 148, u'Unf': 430...\n",
       "BsmtFinType2     {nan: 38, u'LwQ': 46, u'BLQ': 33, u'Unf': 1256...\n",
       "Heating          {u'Floor': 1, u'GasA': 1428, u'Grav': 7, u'Wal...\n",
       "HeatingQC        {u'Po': 1, u'Fa': 49, u'Gd': 241, u'Ex': 741, ...\n",
       "CentralAir                                  {u'Y': 1365, u'N': 95}\n",
       "Electrical       {nan: 1, u'FuseA': 94, u'FuseF': 27, u'Mix': 1...\n",
       "KitchenQual        {u'Fa': 39, u'Gd': 586, u'Ex': 100, u'TA': 735}\n",
       "Functional       {u'Sev': 1, u'Min1': 31, u'Min2': 34, u'Typ': ...\n",
       "FireplaceQu      {nan: 690, u'Fa': 33, u'Gd': 380, u'Ex': 24, u...\n",
       "GarageType       {nan: 81, u'Basment': 19, u'CarPort': 9, u'Att...\n",
       "GarageFinish      {nan: 81, u'Fin': 352, u'RFn': 422, u'Unf': 605}\n",
       "GarageQual       {nan: 81, u'Fa': 48, u'Gd': 14, u'Ex': 3, u'Po...\n",
       "GarageCond       {nan: 81, u'Fa': 35, u'Gd': 9, u'Ex': 2, u'Po'...\n",
       "PavedDrive                        {u'Y': 1340, u'P': 30, u'N': 90}\n",
       "PoolQC                   {nan: 1453, u'Fa': 2, u'Gd': 3, u'Ex': 2}\n",
       "Fence            {nan: 1179, u'MnPrv': 157, u'MnWw': 11, u'GdPr...\n",
       "MiscFeature      {nan: 1406, u'TenC': 1, u'Shed': 49, u'Gar2': ...\n",
       "SaleType         {u'Oth': 3, u'WD': 1267, u'ConLI': 5, u'ConLD'...\n",
       "SaleCondition    {u'Partial': 125, u'Family': 20, u'Normal': 11...\n",
       "dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pprint import pprint\n",
    "pd.set_option('display.max_rows', 2000)\n",
    "pd.set_option('display.max_columns', 5000)\n",
    "pd.set_option('display.width', 5000)\n",
    "from collections import Counter\n",
    "k = s.apply(lambda x: Counter(x),axis=0)\n",
    "display(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1460  MSZoning       \tCounter({'RL': 1151, 'RM': 218, 'FV': 65, 'RH': 16, 'C (all)': 10})\n",
      "\n",
      "1460  Street         \tCounter({'Pave': 1454, 'Grvl': 6})\n",
      "\n",
      "1460  Alley          \tCounter({nan: 1369, 'Grvl': 50, 'Pave': 41})\n",
      "\n",
      "1460  LotShape       \tCounter({'Reg': 925, 'IR1': 484, 'IR2': 41, 'IR3': 10})\n",
      "\n",
      "1460  LandContour    \tCounter({'Lvl': 1311, 'Bnk': 63, 'HLS': 50, 'Low': 36})\n",
      "\n",
      "1460  Utilities      \tCounter({'AllPub': 1459, 'NoSeWa': 1})\n",
      "\n",
      "1460  LotConfig      \tCounter({'Inside': 1052, 'Corner': 263, 'CulDSac': 94, 'FR2': 47, 'FR3': 4})\n",
      "\n",
      "1460  LandSlope      \tCounter({'Gtl': 1382, 'Mod': 65, 'Sev': 13})\n",
      "\n",
      "1460  Neighborhood   \tCounter({'NAmes': 225, 'CollgCr': 150, 'OldTown': 113, 'Edwards': 100, 'Somerst': 86, 'Gilbert': 79, 'NridgHt': 77, 'Sawyer': 74, 'NWAmes': 73, 'SawyerW': 59, 'BrkSide': 58, 'Crawfor': 51, 'Mitchel': 49, 'NoRidge': 41, 'Timber': 38, 'IDOTRR': 37, 'ClearCr': 28, 'SWISU': 25, 'StoneBr': 25, 'Blmngtn': 17, 'MeadowV': 17, 'BrDale': 16, 'Veenker': 11, 'NPkVill': 9, 'Blueste': 2})\n",
      "\n",
      "1460  Condition1     \tCounter({'Norm': 1260, 'Feedr': 81, 'Artery': 48, 'RRAn': 26, 'PosN': 19, 'RRAe': 11, 'PosA': 8, 'RRNn': 5, 'RRNe': 2})\n",
      "\n",
      "1460  Condition2     \tCounter({'Norm': 1445, 'Feedr': 6, 'PosN': 2, 'RRNn': 2, 'Artery': 2, 'RRAe': 1, 'RRAn': 1, 'PosA': 1})\n",
      "\n",
      "1460  BldgType       \tCounter({'1Fam': 1220, 'TwnhsE': 114, 'Duplex': 52, 'Twnhs': 43, '2fmCon': 31})\n",
      "\n",
      "1460  HouseStyle     \tCounter({'1Story': 726, '2Story': 445, '1.5Fin': 154, 'SLvl': 65, 'SFoyer': 37, '1.5Unf': 14, '2.5Unf': 11, '2.5Fin': 8})\n",
      "\n",
      "1460  RoofStyle      \tCounter({'Gable': 1141, 'Hip': 286, 'Flat': 13, 'Gambrel': 11, 'Mansard': 7, 'Shed': 2})\n",
      "\n",
      "1460  RoofMatl       \tCounter({'CompShg': 1434, 'Tar&Grv': 11, 'WdShngl': 6, 'WdShake': 5, 'ClyTile': 1, 'Metal': 1, 'Membran': 1, 'Roll': 1})\n",
      "\n",
      "1460  Exterior1st    \tCounter({'VinylSd': 515, 'HdBoard': 222, 'MetalSd': 220, 'Wd Sdng': 206, 'Plywood': 108, 'CemntBd': 61, 'BrkFace': 50, 'WdShing': 26, 'Stucco': 25, 'AsbShng': 20, 'Stone': 2, 'BrkComm': 2, 'ImStucc': 1, 'AsphShn': 1, 'CBlock': 1})\n",
      "\n",
      "1460  Exterior2nd    \tCounter({'VinylSd': 504, 'MetalSd': 214, 'HdBoard': 207, 'Wd Sdng': 197, 'Plywood': 142, 'CmentBd': 60, 'Wd Shng': 38, 'Stucco': 26, 'BrkFace': 25, 'AsbShng': 20, 'ImStucc': 10, 'Brk Cmn': 7, 'Stone': 5, 'AsphShn': 3, 'CBlock': 1, 'Other': 1})\n",
      "\n",
      "1460  MasVnrType     \tCounter({'None': 864, 'BrkFace': 445, 'Stone': 128, 'BrkCmn': 15, nan: 8})\n",
      "\n",
      "1460  ExterQual      \tCounter({'TA': 906, 'Gd': 488, 'Ex': 52, 'Fa': 14})\n",
      "\n",
      "1460  ExterCond      \tCounter({'TA': 1282, 'Gd': 146, 'Fa': 28, 'Ex': 3, 'Po': 1})\n",
      "\n",
      "1460  Foundation     \tCounter({'PConc': 647, 'CBlock': 634, 'BrkTil': 146, 'Slab': 24, 'Stone': 6, 'Wood': 3})\n",
      "\n",
      "1460  BsmtQual       \tCounter({'TA': 649, 'Gd': 618, 'Ex': 121, nan: 37, 'Fa': 35})\n",
      "\n",
      "1460  BsmtCond       \tCounter({'TA': 1311, 'Gd': 65, 'Fa': 45, nan: 37, 'Po': 2})\n",
      "\n",
      "1460  BsmtExposure   \tCounter({'No': 953, 'Av': 221, 'Gd': 134, 'Mn': 114, nan: 38})\n",
      "\n",
      "1460  BsmtFinType1   \tCounter({'Unf': 430, 'GLQ': 418, 'ALQ': 220, 'BLQ': 148, 'Rec': 133, 'LwQ': 74, nan: 37})\n",
      "\n",
      "1460  BsmtFinType2   \tCounter({'Unf': 1256, 'Rec': 54, 'LwQ': 46, nan: 38, 'BLQ': 33, 'ALQ': 19, 'GLQ': 14})\n",
      "\n",
      "1460  Heating        \tCounter({'GasA': 1428, 'GasW': 18, 'Grav': 7, 'Wall': 4, 'OthW': 2, 'Floor': 1})\n",
      "\n",
      "1460  HeatingQC      \tCounter({'Ex': 741, 'TA': 428, 'Gd': 241, 'Fa': 49, 'Po': 1})\n",
      "\n",
      "1460  CentralAir     \tCounter({'Y': 1365, 'N': 95})\n",
      "\n",
      "1460  Electrical     \tCounter({'SBrkr': 1334, 'FuseA': 94, 'FuseF': 27, 'FuseP': 3, nan: 1, 'Mix': 1})\n",
      "\n",
      "1460  KitchenQual    \tCounter({'TA': 735, 'Gd': 586, 'Ex': 100, 'Fa': 39})\n",
      "\n",
      "1460  Functional     \tCounter({'Typ': 1360, 'Min2': 34, 'Min1': 31, 'Mod': 15, 'Maj1': 14, 'Maj2': 5, 'Sev': 1})\n",
      "\n",
      "1460  FireplaceQu    \tCounter({nan: 690, 'Gd': 380, 'TA': 313, 'Fa': 33, 'Ex': 24, 'Po': 20})\n",
      "\n",
      "1460  GarageType     \tCounter({'Attchd': 870, 'Detchd': 387, 'BuiltIn': 88, nan: 81, 'Basment': 19, 'CarPort': 9, '2Types': 6})\n",
      "\n",
      "1460  GarageFinish   \tCounter({'Unf': 605, 'RFn': 422, 'Fin': 352, nan: 81})\n",
      "\n",
      "1460  GarageQual     \tCounter({'TA': 1311, nan: 81, 'Fa': 48, 'Gd': 14, 'Ex': 3, 'Po': 3})\n",
      "\n",
      "1460  GarageCond     \tCounter({'TA': 1326, nan: 81, 'Fa': 35, 'Gd': 9, 'Po': 7, 'Ex': 2})\n",
      "\n",
      "1460  PavedDrive     \tCounter({'Y': 1340, 'N': 90, 'P': 30})\n",
      "\n",
      "1460  PoolQC         \tCounter({nan: 1453, 'Gd': 3, 'Fa': 2, 'Ex': 2})\n",
      "\n",
      "1460  Fence          \tCounter({nan: 1179, 'MnPrv': 157, 'GdPrv': 59, 'GdWo': 54, 'MnWw': 11})\n",
      "\n",
      "1460  MiscFeature    \tCounter({nan: 1406, 'Shed': 49, 'Gar2': 2, 'Othr': 2, 'TenC': 1})\n",
      "\n",
      "1460  SaleType       \tCounter({'WD': 1267, 'New': 122, 'COD': 43, 'ConLD': 9, 'ConLI': 5, 'ConLw': 5, 'CWD': 4, 'Oth': 3, 'Con': 2})\n",
      "\n",
      "1460  SaleCondition  \tCounter({'Normal': 1198, 'Partial': 125, 'Abnorml': 101, 'Family': 20, 'Alloca': 12, 'AdjLand': 4})\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i,j in k.iteritems():\n",
    "    print \"{:<5} {:<15}\\t{}\".format(sum(j.values()),i,j)\n",
    "    print"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "l = []\n",
    "for i,j in k.iteritems():\n",
    "    m = sorted(j.values(),reverse=True)\n",
    "    if m[0] <= 2*data.shape[0]/3.0:\n",
    "        l.append(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['LotShape',\n",
       " 'Neighborhood',\n",
       " 'HouseStyle',\n",
       " 'Exterior1st',\n",
       " 'Exterior2nd',\n",
       " 'MasVnrType',\n",
       " 'ExterQual',\n",
       " 'Foundation',\n",
       " 'BsmtQual',\n",
       " 'BsmtExposure',\n",
       " 'BsmtFinType1',\n",
       " 'HeatingQC',\n",
       " 'KitchenQual',\n",
       " 'FireplaceQu',\n",
       " 'GarageType',\n",
       " 'GarageFinish']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1460  LotShape       \tCounter({'Reg': 925, 'IR1': 484, 'IR2': 41, 'IR3': 10})\n",
      "\n",
      "1460  Neighborhood   \tCounter({'NAmes': 225, 'CollgCr': 150, 'OldTown': 113, 'Edwards': 100, 'Somerst': 86, 'Gilbert': 79, 'NridgHt': 77, 'Sawyer': 74, 'NWAmes': 73, 'SawyerW': 59, 'BrkSide': 58, 'Crawfor': 51, 'Mitchel': 49, 'NoRidge': 41, 'Timber': 38, 'IDOTRR': 37, 'ClearCr': 28, 'SWISU': 25, 'StoneBr': 25, 'Blmngtn': 17, 'MeadowV': 17, 'BrDale': 16, 'Veenker': 11, 'NPkVill': 9, 'Blueste': 2})\n",
      "\n",
      "1460  HouseStyle     \tCounter({'1Story': 726, '2Story': 445, '1.5Fin': 154, 'SLvl': 65, 'SFoyer': 37, '1.5Unf': 14, '2.5Unf': 11, '2.5Fin': 8})\n",
      "\n",
      "1460  Exterior1st    \tCounter({'VinylSd': 515, 'HdBoard': 222, 'MetalSd': 220, 'Wd Sdng': 206, 'Plywood': 108, 'CemntBd': 61, 'BrkFace': 50, 'WdShing': 26, 'Stucco': 25, 'AsbShng': 20, 'Stone': 2, 'BrkComm': 2, 'ImStucc': 1, 'AsphShn': 1, 'CBlock': 1})\n",
      "\n",
      "1460  Exterior2nd    \tCounter({'VinylSd': 504, 'MetalSd': 214, 'HdBoard': 207, 'Wd Sdng': 197, 'Plywood': 142, 'CmentBd': 60, 'Wd Shng': 38, 'Stucco': 26, 'BrkFace': 25, 'AsbShng': 20, 'ImStucc': 10, 'Brk Cmn': 7, 'Stone': 5, 'AsphShn': 3, 'CBlock': 1, 'Other': 1})\n",
      "\n",
      "1460  MasVnrType     \tCounter({'None': 864, 'BrkFace': 445, 'Stone': 128, 'BrkCmn': 15, nan: 8})\n",
      "\n",
      "1460  ExterQual      \tCounter({'TA': 906, 'Gd': 488, 'Ex': 52, 'Fa': 14})\n",
      "\n",
      "1460  Foundation     \tCounter({'PConc': 647, 'CBlock': 634, 'BrkTil': 146, 'Slab': 24, 'Stone': 6, 'Wood': 3})\n",
      "\n",
      "1460  BsmtQual       \tCounter({'TA': 649, 'Gd': 618, 'Ex': 121, nan: 37, 'Fa': 35})\n",
      "\n",
      "1460  BsmtExposure   \tCounter({'No': 953, 'Av': 221, 'Gd': 134, 'Mn': 114, nan: 38})\n",
      "\n",
      "1460  BsmtFinType1   \tCounter({'Unf': 430, 'GLQ': 418, 'ALQ': 220, 'BLQ': 148, 'Rec': 133, 'LwQ': 74, nan: 37})\n",
      "\n",
      "1460  HeatingQC      \tCounter({'Ex': 741, 'TA': 428, 'Gd': 241, 'Fa': 49, 'Po': 1})\n",
      "\n",
      "1460  KitchenQual    \tCounter({'TA': 735, 'Gd': 586, 'Ex': 100, 'Fa': 39})\n",
      "\n",
      "1460  FireplaceQu    \tCounter({nan: 690, 'Gd': 380, 'TA': 313, 'Fa': 33, 'Ex': 24, 'Po': 20})\n",
      "\n",
      "1460  GarageType     \tCounter({'Attchd': 870, 'Detchd': 387, 'BuiltIn': 88, nan: 81, 'Basment': 19, 'CarPort': 9, '2Types': 6})\n",
      "\n",
      "1460  GarageFinish   \tCounter({'Unf': 605, 'RFn': 422, 'Fin': 352, nan: 81})\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i,j in k.iteritems():\n",
    "    if i in l:\n",
    "        print \"{:<5} {:<15}\\t{}\".format(sum(j.values()),i,j)\n",
    "        print"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "usable_cols = l+list(t.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "53"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(usable_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data_copy = data.copy()\n",
    "for col in list(t.columns):\n",
    "    data_copy[col] = t[col]\n",
    "X_train_wo_dummies = data_copy[usable_cols[:-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_train = data[usable_cols[-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_train = pd.get_dummies(X_train_wo_dummies,columns=X_train_wo_dummies.select_dtypes(exclude=['int','float']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>LotShape_IR1</th>\n",
       "      <th>LotShape_IR2</th>\n",
       "      <th>LotShape_IR3</th>\n",
       "      <th>LotShape_Reg</th>\n",
       "      <th>Neighborhood_Blmngtn</th>\n",
       "      <th>Neighborhood_Blueste</th>\n",
       "      <th>Neighborhood_BrDale</th>\n",
       "      <th>Neighborhood_BrkSide</th>\n",
       "      <th>Neighborhood_ClearCr</th>\n",
       "      <th>Neighborhood_CollgCr</th>\n",
       "      <th>Neighborhood_Crawfor</th>\n",
       "      <th>Neighborhood_Edwards</th>\n",
       "      <th>Neighborhood_Gilbert</th>\n",
       "      <th>Neighborhood_IDOTRR</th>\n",
       "      <th>Neighborhood_MeadowV</th>\n",
       "      <th>Neighborhood_Mitchel</th>\n",
       "      <th>Neighborhood_NAmes</th>\n",
       "      <th>Neighborhood_NPkVill</th>\n",
       "      <th>Neighborhood_NWAmes</th>\n",
       "      <th>Neighborhood_NoRidge</th>\n",
       "      <th>Neighborhood_NridgHt</th>\n",
       "      <th>Neighborhood_OldTown</th>\n",
       "      <th>Neighborhood_SWISU</th>\n",
       "      <th>Neighborhood_Sawyer</th>\n",
       "      <th>Neighborhood_SawyerW</th>\n",
       "      <th>Neighborhood_Somerst</th>\n",
       "      <th>Neighborhood_StoneBr</th>\n",
       "      <th>Neighborhood_Timber</th>\n",
       "      <th>Neighborhood_Veenker</th>\n",
       "      <th>HouseStyle_1.5Fin</th>\n",
       "      <th>HouseStyle_1.5Unf</th>\n",
       "      <th>HouseStyle_1Story</th>\n",
       "      <th>HouseStyle_2.5Fin</th>\n",
       "      <th>HouseStyle_2.5Unf</th>\n",
       "      <th>HouseStyle_2Story</th>\n",
       "      <th>HouseStyle_SFoyer</th>\n",
       "      <th>HouseStyle_SLvl</th>\n",
       "      <th>Exterior1st_AsbShng</th>\n",
       "      <th>Exterior1st_AsphShn</th>\n",
       "      <th>Exterior1st_BrkComm</th>\n",
       "      <th>Exterior1st_BrkFace</th>\n",
       "      <th>Exterior1st_CBlock</th>\n",
       "      <th>Exterior1st_CemntBd</th>\n",
       "      <th>Exterior1st_HdBoard</th>\n",
       "      <th>Exterior1st_ImStucc</th>\n",
       "      <th>Exterior1st_MetalSd</th>\n",
       "      <th>Exterior1st_Plywood</th>\n",
       "      <th>Exterior1st_Stone</th>\n",
       "      <th>Exterior1st_Stucco</th>\n",
       "      <th>Exterior1st_VinylSd</th>\n",
       "      <th>Exterior1st_Wd Sdng</th>\n",
       "      <th>Exterior1st_WdShing</th>\n",
       "      <th>Exterior2nd_AsbShng</th>\n",
       "      <th>Exterior2nd_AsphShn</th>\n",
       "      <th>Exterior2nd_Brk Cmn</th>\n",
       "      <th>Exterior2nd_BrkFace</th>\n",
       "      <th>Exterior2nd_CBlock</th>\n",
       "      <th>Exterior2nd_CmentBd</th>\n",
       "      <th>Exterior2nd_HdBoard</th>\n",
       "      <th>Exterior2nd_ImStucc</th>\n",
       "      <th>Exterior2nd_MetalSd</th>\n",
       "      <th>Exterior2nd_Other</th>\n",
       "      <th>Exterior2nd_Plywood</th>\n",
       "      <th>Exterior2nd_Stone</th>\n",
       "      <th>Exterior2nd_Stucco</th>\n",
       "      <th>Exterior2nd_VinylSd</th>\n",
       "      <th>Exterior2nd_Wd Sdng</th>\n",
       "      <th>Exterior2nd_Wd Shng</th>\n",
       "      <th>MasVnrType_BrkCmn</th>\n",
       "      <th>MasVnrType_BrkFace</th>\n",
       "      <th>MasVnrType_None</th>\n",
       "      <th>MasVnrType_Stone</th>\n",
       "      <th>ExterQual_Ex</th>\n",
       "      <th>ExterQual_Fa</th>\n",
       "      <th>ExterQual_Gd</th>\n",
       "      <th>ExterQual_TA</th>\n",
       "      <th>Foundation_BrkTil</th>\n",
       "      <th>Foundation_CBlock</th>\n",
       "      <th>Foundation_PConc</th>\n",
       "      <th>Foundation_Slab</th>\n",
       "      <th>Foundation_Stone</th>\n",
       "      <th>Foundation_Wood</th>\n",
       "      <th>BsmtQual_Ex</th>\n",
       "      <th>BsmtQual_Fa</th>\n",
       "      <th>BsmtQual_Gd</th>\n",
       "      <th>BsmtQual_TA</th>\n",
       "      <th>BsmtExposure_Av</th>\n",
       "      <th>BsmtExposure_Gd</th>\n",
       "      <th>BsmtExposure_Mn</th>\n",
       "      <th>BsmtExposure_No</th>\n",
       "      <th>BsmtFinType1_ALQ</th>\n",
       "      <th>BsmtFinType1_BLQ</th>\n",
       "      <th>BsmtFinType1_GLQ</th>\n",
       "      <th>BsmtFinType1_LwQ</th>\n",
       "      <th>BsmtFinType1_Rec</th>\n",
       "      <th>BsmtFinType1_Unf</th>\n",
       "      <th>HeatingQC_Ex</th>\n",
       "      <th>HeatingQC_Fa</th>\n",
       "      <th>HeatingQC_Gd</th>\n",
       "      <th>HeatingQC_Po</th>\n",
       "      <th>HeatingQC_TA</th>\n",
       "      <th>KitchenQual_Ex</th>\n",
       "      <th>KitchenQual_Fa</th>\n",
       "      <th>KitchenQual_Gd</th>\n",
       "      <th>KitchenQual_TA</th>\n",
       "      <th>FireplaceQu_Ex</th>\n",
       "      <th>FireplaceQu_Fa</th>\n",
       "      <th>FireplaceQu_Gd</th>\n",
       "      <th>FireplaceQu_Po</th>\n",
       "      <th>FireplaceQu_TA</th>\n",
       "      <th>GarageType_2Types</th>\n",
       "      <th>GarageType_Attchd</th>\n",
       "      <th>GarageType_Basment</th>\n",
       "      <th>GarageType_BuiltIn</th>\n",
       "      <th>GarageType_CarPort</th>\n",
       "      <th>GarageType_Detchd</th>\n",
       "      <th>GarageFinish_Fin</th>\n",
       "      <th>GarageFinish_RFn</th>\n",
       "      <th>GarageFinish_Unf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>856.0</td>\n",
       "      <td>856.0</td>\n",
       "      <td>854.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1710.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>460.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>866.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1786.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>608.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1915.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>540.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>961.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1717.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>1053.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2198.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>836.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  1stFlrSF  2ndFlrSF  LowQualFinSF  GrLivArea  BsmtFullBath  BsmtHalfBath  FullBath  HalfBath  BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd  Fireplaces  GarageYrBlt  GarageCars  GarageArea  WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  MiscVal  MoSold  YrSold  LotShape_IR1  LotShape_IR2  LotShape_IR3  LotShape_Reg  Neighborhood_Blmngtn  Neighborhood_Blueste  Neighborhood_BrDale  Neighborhood_BrkSide  Neighborhood_ClearCr  Neighborhood_CollgCr  Neighborhood_Crawfor  Neighborhood_Edwards  Neighborhood_Gilbert  Neighborhood_IDOTRR  Neighborhood_MeadowV  Neighborhood_Mitchel  Neighborhood_NAmes  Neighborhood_NPkVill  Neighborhood_NWAmes  Neighborhood_NoRidge  Neighborhood_NridgHt  Neighborhood_OldTown  Neighborhood_SWISU  Neighborhood_Sawyer  Neighborhood_SawyerW  Neighborhood_Somerst  Neighborhood_StoneBr  Neighborhood_Timber  Neighborhood_Veenker  HouseStyle_1.5Fin  HouseStyle_1.5Unf  HouseStyle_1Story  HouseStyle_2.5Fin  HouseStyle_2.5Unf  HouseStyle_2Story  HouseStyle_SFoyer  HouseStyle_SLvl  Exterior1st_AsbShng  Exterior1st_AsphShn  Exterior1st_BrkComm  Exterior1st_BrkFace  Exterior1st_CBlock  Exterior1st_CemntBd  Exterior1st_HdBoard  Exterior1st_ImStucc  Exterior1st_MetalSd  Exterior1st_Plywood  Exterior1st_Stone  Exterior1st_Stucco  Exterior1st_VinylSd  Exterior1st_Wd Sdng  Exterior1st_WdShing  Exterior2nd_AsbShng  Exterior2nd_AsphShn  Exterior2nd_Brk Cmn  Exterior2nd_BrkFace  Exterior2nd_CBlock  Exterior2nd_CmentBd  Exterior2nd_HdBoard  Exterior2nd_ImStucc  Exterior2nd_MetalSd  Exterior2nd_Other  Exterior2nd_Plywood  Exterior2nd_Stone  Exterior2nd_Stucco  Exterior2nd_VinylSd  Exterior2nd_Wd Sdng  Exterior2nd_Wd Shng  MasVnrType_BrkCmn  MasVnrType_BrkFace  MasVnrType_None  MasVnrType_Stone  ExterQual_Ex  ExterQual_Fa  ExterQual_Gd  ExterQual_TA  Foundation_BrkTil  Foundation_CBlock  Foundation_PConc  Foundation_Slab  Foundation_Stone  Foundation_Wood  BsmtQual_Ex  BsmtQual_Fa  BsmtQual_Gd  BsmtQual_TA  BsmtExposure_Av  BsmtExposure_Gd  BsmtExposure_Mn  BsmtExposure_No  BsmtFinType1_ALQ  BsmtFinType1_BLQ  BsmtFinType1_GLQ  BsmtFinType1_LwQ  BsmtFinType1_Rec  BsmtFinType1_Unf  HeatingQC_Ex  HeatingQC_Fa  HeatingQC_Gd  HeatingQC_Po  HeatingQC_TA  KitchenQual_Ex  KitchenQual_Fa  KitchenQual_Gd  KitchenQual_TA  FireplaceQu_Ex  FireplaceQu_Fa  FireplaceQu_Gd  FireplaceQu_Po  FireplaceQu_TA  GarageType_2Types  GarageType_Attchd  GarageType_Basment  GarageType_BuiltIn  GarageType_CarPort  GarageType_Detchd  GarageFinish_Fin  GarageFinish_RFn  GarageFinish_Unf\n",
       "0        60.0         65.0   8450.0          7.0          5.0     2003.0        2003.0       196.0       706.0         0.0      150.0        856.0     856.0     854.0           0.0     1710.0           1.0           0.0       2.0       1.0           3.0           1.0           8.0         0.0       2003.0         2.0       548.0         0.0         61.0            0.0        0.0          0.0       0.0      0.0     2.0  2008.0           0.0           0.0           0.0           1.0                   0.0                   0.0                  0.0                   0.0                   0.0                   1.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              0.0              0.0              1.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             0.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0\n",
       "1        20.0         80.0   9600.0          6.0          8.0     1976.0        1976.0         0.0       978.0         0.0      284.0       1262.0    1262.0       0.0           0.0     1262.0           0.0           1.0       2.0       0.0           3.0           1.0           6.0         1.0       1976.0         2.0       460.0       298.0          0.0            0.0        0.0          0.0       0.0      0.0     5.0  2007.0           0.0           0.0           0.0           1.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   1.0                0.0                0.0                1.0                0.0                0.0                0.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  1.0                  0.0                0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  1.0                0.0                  0.0                0.0                 0.0                  0.0                  0.0                  0.0                0.0                 0.0              1.0               0.0           0.0           0.0           0.0           1.0                0.0                1.0               0.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              1.0              0.0              0.0               1.0               0.0               0.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0\n",
       "2        60.0         68.0  11250.0          7.0          5.0     2001.0        2002.0       162.0       486.0         0.0      434.0        920.0     920.0     866.0           0.0     1786.0           1.0           0.0       2.0       1.0           3.0           1.0           6.0         1.0       2001.0         2.0       608.0         0.0         42.0            0.0        0.0          0.0       0.0      0.0     9.0  2008.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   1.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              0.0              1.0              0.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0\n",
       "3        70.0         60.0   9550.0          7.0          5.0     1915.0        1970.0         0.0       216.0         0.0      540.0        756.0     961.0     756.0           0.0     1717.0           1.0           0.0       1.0       0.0           3.0           1.0           7.0         1.0       1998.0         3.0       642.0         0.0         35.0          272.0        0.0          0.0       0.0      0.0     2.0  2006.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   1.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  0.0                  0.0                  1.0                0.0                 0.0              1.0               0.0           0.0           0.0           0.0           1.0                1.0                0.0               0.0              0.0               0.0              0.0          0.0          0.0          0.0          1.0              0.0              0.0              0.0              1.0               1.0               0.0               0.0               0.0               0.0               0.0           0.0           0.0           1.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             1.0             0.0             0.0                0.0                0.0                 0.0                 0.0                 0.0                1.0               0.0               0.0               1.0\n",
       "4        60.0         84.0  14260.0          8.0          5.0     2000.0        2000.0       350.0       655.0         0.0      490.0       1145.0    1145.0    1053.0           0.0     2198.0           1.0           0.0       2.0       1.0           4.0           1.0           9.0         1.0       2000.0         3.0       836.0       192.0         84.0            0.0        0.0          0.0       0.0      0.0    12.0  2008.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   1.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              1.0              0.0              0.0              0.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1460, 155)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "reg = LinearRegression()\n",
    "reg.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.88411228231783057"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg.score(X_train,y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predictions using test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test = pd.read_csv(\"test.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_copy = test.copy()\n",
    "test_copy = test_copy[usable_cols[:-1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "X_test = pd.get_dummies(test_copy,columns=test_copy.select_dtypes(exclude=['int','float']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test_cols = list(X_test.columns)\n",
    "for col in list(X_train.columns):\n",
    "    if col not in test_cols:\n",
    "        X_test[col] = X_test['LotArea'].apply(lambda x: 0)\n",
    "X_test = X_test[list(X_train.columns)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false,
    "scrolled": 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>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>LotShape_IR1</th>\n",
       "      <th>LotShape_IR2</th>\n",
       "      <th>LotShape_IR3</th>\n",
       "      <th>LotShape_Reg</th>\n",
       "      <th>Neighborhood_Blmngtn</th>\n",
       "      <th>Neighborhood_Blueste</th>\n",
       "      <th>Neighborhood_BrDale</th>\n",
       "      <th>Neighborhood_BrkSide</th>\n",
       "      <th>Neighborhood_ClearCr</th>\n",
       "      <th>Neighborhood_CollgCr</th>\n",
       "      <th>Neighborhood_Crawfor</th>\n",
       "      <th>Neighborhood_Edwards</th>\n",
       "      <th>Neighborhood_Gilbert</th>\n",
       "      <th>Neighborhood_IDOTRR</th>\n",
       "      <th>Neighborhood_MeadowV</th>\n",
       "      <th>Neighborhood_Mitchel</th>\n",
       "      <th>Neighborhood_NAmes</th>\n",
       "      <th>Neighborhood_NPkVill</th>\n",
       "      <th>Neighborhood_NWAmes</th>\n",
       "      <th>Neighborhood_NoRidge</th>\n",
       "      <th>Neighborhood_NridgHt</th>\n",
       "      <th>Neighborhood_OldTown</th>\n",
       "      <th>Neighborhood_SWISU</th>\n",
       "      <th>Neighborhood_Sawyer</th>\n",
       "      <th>Neighborhood_SawyerW</th>\n",
       "      <th>Neighborhood_Somerst</th>\n",
       "      <th>Neighborhood_StoneBr</th>\n",
       "      <th>Neighborhood_Timber</th>\n",
       "      <th>Neighborhood_Veenker</th>\n",
       "      <th>HouseStyle_1.5Fin</th>\n",
       "      <th>HouseStyle_1.5Unf</th>\n",
       "      <th>HouseStyle_1Story</th>\n",
       "      <th>HouseStyle_2.5Fin</th>\n",
       "      <th>HouseStyle_2.5Unf</th>\n",
       "      <th>HouseStyle_2Story</th>\n",
       "      <th>HouseStyle_SFoyer</th>\n",
       "      <th>HouseStyle_SLvl</th>\n",
       "      <th>Exterior1st_AsbShng</th>\n",
       "      <th>Exterior1st_AsphShn</th>\n",
       "      <th>Exterior1st_BrkComm</th>\n",
       "      <th>Exterior1st_BrkFace</th>\n",
       "      <th>Exterior1st_CBlock</th>\n",
       "      <th>Exterior1st_CemntBd</th>\n",
       "      <th>Exterior1st_HdBoard</th>\n",
       "      <th>Exterior1st_ImStucc</th>\n",
       "      <th>Exterior1st_MetalSd</th>\n",
       "      <th>Exterior1st_Plywood</th>\n",
       "      <th>Exterior1st_Stone</th>\n",
       "      <th>Exterior1st_Stucco</th>\n",
       "      <th>Exterior1st_VinylSd</th>\n",
       "      <th>Exterior1st_Wd Sdng</th>\n",
       "      <th>Exterior1st_WdShing</th>\n",
       "      <th>Exterior2nd_AsbShng</th>\n",
       "      <th>Exterior2nd_AsphShn</th>\n",
       "      <th>Exterior2nd_Brk Cmn</th>\n",
       "      <th>Exterior2nd_BrkFace</th>\n",
       "      <th>Exterior2nd_CBlock</th>\n",
       "      <th>Exterior2nd_CmentBd</th>\n",
       "      <th>Exterior2nd_HdBoard</th>\n",
       "      <th>Exterior2nd_ImStucc</th>\n",
       "      <th>Exterior2nd_MetalSd</th>\n",
       "      <th>Exterior2nd_Other</th>\n",
       "      <th>Exterior2nd_Plywood</th>\n",
       "      <th>Exterior2nd_Stone</th>\n",
       "      <th>Exterior2nd_Stucco</th>\n",
       "      <th>Exterior2nd_VinylSd</th>\n",
       "      <th>Exterior2nd_Wd Sdng</th>\n",
       "      <th>Exterior2nd_Wd Shng</th>\n",
       "      <th>MasVnrType_BrkCmn</th>\n",
       "      <th>MasVnrType_BrkFace</th>\n",
       "      <th>MasVnrType_None</th>\n",
       "      <th>MasVnrType_Stone</th>\n",
       "      <th>ExterQual_Ex</th>\n",
       "      <th>ExterQual_Fa</th>\n",
       "      <th>ExterQual_Gd</th>\n",
       "      <th>ExterQual_TA</th>\n",
       "      <th>Foundation_BrkTil</th>\n",
       "      <th>Foundation_CBlock</th>\n",
       "      <th>Foundation_PConc</th>\n",
       "      <th>Foundation_Slab</th>\n",
       "      <th>Foundation_Stone</th>\n",
       "      <th>Foundation_Wood</th>\n",
       "      <th>BsmtQual_Ex</th>\n",
       "      <th>BsmtQual_Fa</th>\n",
       "      <th>BsmtQual_Gd</th>\n",
       "      <th>BsmtQual_TA</th>\n",
       "      <th>BsmtExposure_Av</th>\n",
       "      <th>BsmtExposure_Gd</th>\n",
       "      <th>BsmtExposure_Mn</th>\n",
       "      <th>BsmtExposure_No</th>\n",
       "      <th>BsmtFinType1_ALQ</th>\n",
       "      <th>BsmtFinType1_BLQ</th>\n",
       "      <th>BsmtFinType1_GLQ</th>\n",
       "      <th>BsmtFinType1_LwQ</th>\n",
       "      <th>BsmtFinType1_Rec</th>\n",
       "      <th>BsmtFinType1_Unf</th>\n",
       "      <th>HeatingQC_Ex</th>\n",
       "      <th>HeatingQC_Fa</th>\n",
       "      <th>HeatingQC_Gd</th>\n",
       "      <th>HeatingQC_Po</th>\n",
       "      <th>HeatingQC_TA</th>\n",
       "      <th>KitchenQual_Ex</th>\n",
       "      <th>KitchenQual_Fa</th>\n",
       "      <th>KitchenQual_Gd</th>\n",
       "      <th>KitchenQual_TA</th>\n",
       "      <th>FireplaceQu_Ex</th>\n",
       "      <th>FireplaceQu_Fa</th>\n",
       "      <th>FireplaceQu_Gd</th>\n",
       "      <th>FireplaceQu_Po</th>\n",
       "      <th>FireplaceQu_TA</th>\n",
       "      <th>GarageType_2Types</th>\n",
       "      <th>GarageType_Attchd</th>\n",
       "      <th>GarageType_Basment</th>\n",
       "      <th>GarageType_BuiltIn</th>\n",
       "      <th>GarageType_CarPort</th>\n",
       "      <th>GarageType_Detchd</th>\n",
       "      <th>GarageFinish_Fin</th>\n",
       "      <th>GarageFinish_RFn</th>\n",
       "      <th>GarageFinish_Unf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11622.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1961.0</td>\n",
       "      <td>1961.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>882.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1961.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>14267.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1958.0</td>\n",
       "      <td>1958.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>923.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>406.0</td>\n",
       "      <td>1329.0</td>\n",
       "      <td>1329.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1329.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1958.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>312.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12500.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>13830.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>791.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>928.0</td>\n",
       "      <td>928.0</td>\n",
       "      <td>701.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1629.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>482.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>60.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9978.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>602.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>926.0</td>\n",
       "      <td>926.0</td>\n",
       "      <td>678.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1604.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>120.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5005.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1992.0</td>\n",
       "      <td>1992.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1017.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1280.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1992.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>506.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  1stFlrSF  2ndFlrSF  LowQualFinSF  GrLivArea  BsmtFullBath  BsmtHalfBath  FullBath  HalfBath  BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd  Fireplaces  GarageYrBlt  GarageCars  GarageArea  WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  MiscVal  MoSold  YrSold  LotShape_IR1  LotShape_IR2  LotShape_IR3  LotShape_Reg  Neighborhood_Blmngtn  Neighborhood_Blueste  Neighborhood_BrDale  Neighborhood_BrkSide  Neighborhood_ClearCr  Neighborhood_CollgCr  Neighborhood_Crawfor  Neighborhood_Edwards  Neighborhood_Gilbert  Neighborhood_IDOTRR  Neighborhood_MeadowV  Neighborhood_Mitchel  Neighborhood_NAmes  Neighborhood_NPkVill  Neighborhood_NWAmes  Neighborhood_NoRidge  Neighborhood_NridgHt  Neighborhood_OldTown  Neighborhood_SWISU  Neighborhood_Sawyer  Neighborhood_SawyerW  Neighborhood_Somerst  Neighborhood_StoneBr  Neighborhood_Timber  Neighborhood_Veenker  HouseStyle_1.5Fin  HouseStyle_1.5Unf  HouseStyle_1Story  HouseStyle_2.5Fin  HouseStyle_2.5Unf  HouseStyle_2Story  HouseStyle_SFoyer  HouseStyle_SLvl  Exterior1st_AsbShng  Exterior1st_AsphShn  Exterior1st_BrkComm  Exterior1st_BrkFace  Exterior1st_CBlock  Exterior1st_CemntBd  Exterior1st_HdBoard  Exterior1st_ImStucc  Exterior1st_MetalSd  Exterior1st_Plywood  Exterior1st_Stone  Exterior1st_Stucco  Exterior1st_VinylSd  Exterior1st_Wd Sdng  Exterior1st_WdShing  Exterior2nd_AsbShng  Exterior2nd_AsphShn  Exterior2nd_Brk Cmn  Exterior2nd_BrkFace  Exterior2nd_CBlock  Exterior2nd_CmentBd  Exterior2nd_HdBoard  Exterior2nd_ImStucc  Exterior2nd_MetalSd  Exterior2nd_Other  Exterior2nd_Plywood  Exterior2nd_Stone  Exterior2nd_Stucco  Exterior2nd_VinylSd  Exterior2nd_Wd Sdng  Exterior2nd_Wd Shng  MasVnrType_BrkCmn  MasVnrType_BrkFace  MasVnrType_None  MasVnrType_Stone  ExterQual_Ex  ExterQual_Fa  ExterQual_Gd  ExterQual_TA  Foundation_BrkTil  Foundation_CBlock  Foundation_PConc  Foundation_Slab  Foundation_Stone  Foundation_Wood  BsmtQual_Ex  BsmtQual_Fa  BsmtQual_Gd  BsmtQual_TA  BsmtExposure_Av  BsmtExposure_Gd  BsmtExposure_Mn  BsmtExposure_No  BsmtFinType1_ALQ  BsmtFinType1_BLQ  BsmtFinType1_GLQ  BsmtFinType1_LwQ  BsmtFinType1_Rec  BsmtFinType1_Unf  HeatingQC_Ex  HeatingQC_Fa  HeatingQC_Gd  HeatingQC_Po  HeatingQC_TA  KitchenQual_Ex  KitchenQual_Fa  KitchenQual_Gd  KitchenQual_TA  FireplaceQu_Ex  FireplaceQu_Fa  FireplaceQu_Gd  FireplaceQu_Po  FireplaceQu_TA  GarageType_2Types  GarageType_Attchd  GarageType_Basment  GarageType_BuiltIn  GarageType_CarPort  GarageType_Detchd  GarageFinish_Fin  GarageFinish_RFn  GarageFinish_Unf\n",
       "0        20.0         80.0  11622.0          5.0          6.0     1961.0        1961.0         0.0       468.0       144.0      270.0        882.0     896.0       0.0           0.0      896.0           0.0           0.0       1.0       0.0           2.0           1.0           5.0         0.0       1961.0         1.0       730.0       140.0          0.0            0.0        0.0        120.0       0.0      0.0     6.0  2010.0           0.0           0.0           0.0           1.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 1.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                1.0                0.0                0.0                0.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 0.0              1.0               0.0           0.0           0.0           0.0           1.0                0.0                1.0               0.0              0.0               0.0              0.0          0.0          0.0          0.0          1.0              0.0              0.0              0.0              1.0               0.0               0.0               0.0               0.0               1.0               0.0           0.0           0.0           0.0           0.0           1.0             0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               0.0               1.0\n",
       "1        20.0         81.0  14267.0          6.0          6.0     1958.0        1958.0       108.0       923.0         0.0      406.0       1329.0    1329.0       0.0           0.0     1329.0           0.0           0.0       1.0       1.0           3.0           1.0           6.0         0.0       1958.0         1.0       312.0       393.0         36.0            0.0        0.0          0.0       0.0  12500.0     6.0  2010.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 1.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                1.0                0.0                0.0                0.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  0.0                  1.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           0.0           1.0                0.0                1.0               0.0              0.0               0.0              0.0          0.0          0.0          0.0          1.0              0.0              0.0              0.0              1.0               1.0               0.0               0.0               0.0               0.0               0.0           0.0           0.0           0.0           0.0           1.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             0.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               0.0               1.0\n",
       "2        60.0         74.0  13830.0          5.0          5.0     1997.0        1998.0         0.0       791.0         0.0      137.0        928.0     928.0     701.0           0.0     1629.0           0.0           0.0       2.0       1.0           3.0           1.0           6.0         1.0       1997.0         2.0       482.0       212.0         34.0            0.0        0.0          0.0       0.0      0.0     3.0  2010.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   1.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 0.0              1.0               0.0           0.0           0.0           0.0           1.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              0.0              0.0              1.0               0.0               0.0               1.0               0.0               0.0               0.0           0.0           0.0           1.0           0.0           0.0             0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               1.0               0.0               0.0\n",
       "3        60.0         78.0   9978.0          6.0          6.0     1998.0        1998.0        20.0       602.0         0.0      324.0        926.0     926.0     678.0           0.0     1604.0           0.0           0.0       2.0       1.0           3.0           1.0           7.0         1.0       1998.0         2.0       470.0       360.0         36.0            0.0        0.0          0.0       0.0      0.0     6.0  2010.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   1.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           0.0           1.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          0.0          1.0              0.0              0.0              0.0              1.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             1.0             0.0             0.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               1.0               0.0               0.0\n",
       "4       120.0         43.0   5005.0          8.0          5.0     1992.0        1992.0         0.0       263.0         0.0     1017.0       1280.0    1280.0       0.0           0.0     1280.0           0.0           0.0       2.0       0.0           2.0           1.0           5.0         0.0       1992.0         2.0       506.0         0.0         82.0            0.0        0.0        144.0       0.0      0.0     1.0  2010.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   1.0                  0.0                   0.0                0.0                0.0                1.0                0.0                0.0                0.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  1.0                  0.0                  0.0                  0.0                0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  1.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  0.0                  0.0                  0.0                0.0                 0.0              1.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              0.0              0.0              1.0               1.0               0.0               0.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             0.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test_copy = X_test.copy()\n",
    "imp2 = Imputer(missing_values='NaN',strategy='mean',axis=0)\n",
    "newt = pd.DataFrame(imp2.fit_transform(X_test_copy))\n",
    "newt.columns = X_test_copy.columns\n",
    "newt.index = X_test_copy.index\n",
    "newt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "result = reg.predict(newt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "resultdf = pd.DataFrame({'Id' : pd.Series(test.Id), 'SalePrice' : pd.Series(result)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>Id</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1461</td>\n",
       "      <td>119139.337741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1462</td>\n",
       "      <td>137227.533772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1463</td>\n",
       "      <td>170643.981189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1464</td>\n",
       "      <td>189205.103844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1465</td>\n",
       "      <td>223495.554787</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Id      SalePrice\n",
       "0  1461  119139.337741\n",
       "1  1462  137227.533772\n",
       "2  1463  170643.981189\n",
       "3  1464  189205.103844\n",
       "4  1465  223495.554787"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "resultdf.to_csv('predicted1.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Feature Transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>LotShape_IR1</th>\n",
       "      <th>LotShape_IR2</th>\n",
       "      <th>LotShape_IR3</th>\n",
       "      <th>LotShape_Reg</th>\n",
       "      <th>Neighborhood_Blmngtn</th>\n",
       "      <th>Neighborhood_Blueste</th>\n",
       "      <th>Neighborhood_BrDale</th>\n",
       "      <th>Neighborhood_BrkSide</th>\n",
       "      <th>Neighborhood_ClearCr</th>\n",
       "      <th>Neighborhood_CollgCr</th>\n",
       "      <th>Neighborhood_Crawfor</th>\n",
       "      <th>Neighborhood_Edwards</th>\n",
       "      <th>Neighborhood_Gilbert</th>\n",
       "      <th>Neighborhood_IDOTRR</th>\n",
       "      <th>Neighborhood_MeadowV</th>\n",
       "      <th>Neighborhood_Mitchel</th>\n",
       "      <th>Neighborhood_NAmes</th>\n",
       "      <th>Neighborhood_NPkVill</th>\n",
       "      <th>Neighborhood_NWAmes</th>\n",
       "      <th>Neighborhood_NoRidge</th>\n",
       "      <th>Neighborhood_NridgHt</th>\n",
       "      <th>Neighborhood_OldTown</th>\n",
       "      <th>Neighborhood_SWISU</th>\n",
       "      <th>Neighborhood_Sawyer</th>\n",
       "      <th>Neighborhood_SawyerW</th>\n",
       "      <th>Neighborhood_Somerst</th>\n",
       "      <th>Neighborhood_StoneBr</th>\n",
       "      <th>Neighborhood_Timber</th>\n",
       "      <th>Neighborhood_Veenker</th>\n",
       "      <th>HouseStyle_1.5Fin</th>\n",
       "      <th>HouseStyle_1.5Unf</th>\n",
       "      <th>HouseStyle_1Story</th>\n",
       "      <th>HouseStyle_2.5Fin</th>\n",
       "      <th>HouseStyle_2.5Unf</th>\n",
       "      <th>HouseStyle_2Story</th>\n",
       "      <th>HouseStyle_SFoyer</th>\n",
       "      <th>HouseStyle_SLvl</th>\n",
       "      <th>Exterior1st_AsbShng</th>\n",
       "      <th>Exterior1st_AsphShn</th>\n",
       "      <th>Exterior1st_BrkComm</th>\n",
       "      <th>Exterior1st_BrkFace</th>\n",
       "      <th>Exterior1st_CBlock</th>\n",
       "      <th>Exterior1st_CemntBd</th>\n",
       "      <th>Exterior1st_HdBoard</th>\n",
       "      <th>Exterior1st_ImStucc</th>\n",
       "      <th>Exterior1st_MetalSd</th>\n",
       "      <th>Exterior1st_Plywood</th>\n",
       "      <th>Exterior1st_Stone</th>\n",
       "      <th>Exterior1st_Stucco</th>\n",
       "      <th>Exterior1st_VinylSd</th>\n",
       "      <th>Exterior1st_Wd Sdng</th>\n",
       "      <th>Exterior1st_WdShing</th>\n",
       "      <th>Exterior2nd_AsbShng</th>\n",
       "      <th>Exterior2nd_AsphShn</th>\n",
       "      <th>Exterior2nd_Brk Cmn</th>\n",
       "      <th>Exterior2nd_BrkFace</th>\n",
       "      <th>Exterior2nd_CBlock</th>\n",
       "      <th>Exterior2nd_CmentBd</th>\n",
       "      <th>Exterior2nd_HdBoard</th>\n",
       "      <th>Exterior2nd_ImStucc</th>\n",
       "      <th>Exterior2nd_MetalSd</th>\n",
       "      <th>Exterior2nd_Other</th>\n",
       "      <th>Exterior2nd_Plywood</th>\n",
       "      <th>Exterior2nd_Stone</th>\n",
       "      <th>Exterior2nd_Stucco</th>\n",
       "      <th>Exterior2nd_VinylSd</th>\n",
       "      <th>Exterior2nd_Wd Sdng</th>\n",
       "      <th>Exterior2nd_Wd Shng</th>\n",
       "      <th>MasVnrType_BrkCmn</th>\n",
       "      <th>MasVnrType_BrkFace</th>\n",
       "      <th>MasVnrType_None</th>\n",
       "      <th>MasVnrType_Stone</th>\n",
       "      <th>ExterQual_Ex</th>\n",
       "      <th>ExterQual_Fa</th>\n",
       "      <th>ExterQual_Gd</th>\n",
       "      <th>ExterQual_TA</th>\n",
       "      <th>Foundation_BrkTil</th>\n",
       "      <th>Foundation_CBlock</th>\n",
       "      <th>Foundation_PConc</th>\n",
       "      <th>Foundation_Slab</th>\n",
       "      <th>Foundation_Stone</th>\n",
       "      <th>Foundation_Wood</th>\n",
       "      <th>BsmtQual_Ex</th>\n",
       "      <th>BsmtQual_Fa</th>\n",
       "      <th>BsmtQual_Gd</th>\n",
       "      <th>BsmtQual_TA</th>\n",
       "      <th>BsmtExposure_Av</th>\n",
       "      <th>BsmtExposure_Gd</th>\n",
       "      <th>BsmtExposure_Mn</th>\n",
       "      <th>BsmtExposure_No</th>\n",
       "      <th>BsmtFinType1_ALQ</th>\n",
       "      <th>BsmtFinType1_BLQ</th>\n",
       "      <th>BsmtFinType1_GLQ</th>\n",
       "      <th>BsmtFinType1_LwQ</th>\n",
       "      <th>BsmtFinType1_Rec</th>\n",
       "      <th>BsmtFinType1_Unf</th>\n",
       "      <th>HeatingQC_Ex</th>\n",
       "      <th>HeatingQC_Fa</th>\n",
       "      <th>HeatingQC_Gd</th>\n",
       "      <th>HeatingQC_Po</th>\n",
       "      <th>HeatingQC_TA</th>\n",
       "      <th>KitchenQual_Ex</th>\n",
       "      <th>KitchenQual_Fa</th>\n",
       "      <th>KitchenQual_Gd</th>\n",
       "      <th>KitchenQual_TA</th>\n",
       "      <th>FireplaceQu_Ex</th>\n",
       "      <th>FireplaceQu_Fa</th>\n",
       "      <th>FireplaceQu_Gd</th>\n",
       "      <th>FireplaceQu_Po</th>\n",
       "      <th>FireplaceQu_TA</th>\n",
       "      <th>GarageType_2Types</th>\n",
       "      <th>GarageType_Attchd</th>\n",
       "      <th>GarageType_Basment</th>\n",
       "      <th>GarageType_BuiltIn</th>\n",
       "      <th>GarageType_CarPort</th>\n",
       "      <th>GarageType_Detchd</th>\n",
       "      <th>GarageFinish_Fin</th>\n",
       "      <th>GarageFinish_RFn</th>\n",
       "      <th>GarageFinish_Unf</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>856.0</td>\n",
       "      <td>856.0</td>\n",
       "      <td>854.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1710.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1262.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>460.0</td>\n",
       "      <td>298.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2002.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>866.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1786.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>608.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1915.0</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>540.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>961.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1717.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>272.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>1053.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2198.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>836.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  1stFlrSF  2ndFlrSF  LowQualFinSF  GrLivArea  BsmtFullBath  BsmtHalfBath  FullBath  HalfBath  BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd  Fireplaces  GarageYrBlt  GarageCars  GarageArea  WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  MiscVal  MoSold  YrSold  LotShape_IR1  LotShape_IR2  LotShape_IR3  LotShape_Reg  Neighborhood_Blmngtn  Neighborhood_Blueste  Neighborhood_BrDale  Neighborhood_BrkSide  Neighborhood_ClearCr  Neighborhood_CollgCr  Neighborhood_Crawfor  Neighborhood_Edwards  Neighborhood_Gilbert  Neighborhood_IDOTRR  Neighborhood_MeadowV  Neighborhood_Mitchel  Neighborhood_NAmes  Neighborhood_NPkVill  Neighborhood_NWAmes  Neighborhood_NoRidge  Neighborhood_NridgHt  Neighborhood_OldTown  Neighborhood_SWISU  Neighborhood_Sawyer  Neighborhood_SawyerW  Neighborhood_Somerst  Neighborhood_StoneBr  Neighborhood_Timber  Neighborhood_Veenker  HouseStyle_1.5Fin  HouseStyle_1.5Unf  HouseStyle_1Story  HouseStyle_2.5Fin  HouseStyle_2.5Unf  HouseStyle_2Story  HouseStyle_SFoyer  HouseStyle_SLvl  Exterior1st_AsbShng  Exterior1st_AsphShn  Exterior1st_BrkComm  Exterior1st_BrkFace  Exterior1st_CBlock  Exterior1st_CemntBd  Exterior1st_HdBoard  Exterior1st_ImStucc  Exterior1st_MetalSd  Exterior1st_Plywood  Exterior1st_Stone  Exterior1st_Stucco  Exterior1st_VinylSd  Exterior1st_Wd Sdng  Exterior1st_WdShing  Exterior2nd_AsbShng  Exterior2nd_AsphShn  Exterior2nd_Brk Cmn  Exterior2nd_BrkFace  Exterior2nd_CBlock  Exterior2nd_CmentBd  Exterior2nd_HdBoard  Exterior2nd_ImStucc  Exterior2nd_MetalSd  Exterior2nd_Other  Exterior2nd_Plywood  Exterior2nd_Stone  Exterior2nd_Stucco  Exterior2nd_VinylSd  Exterior2nd_Wd Sdng  Exterior2nd_Wd Shng  MasVnrType_BrkCmn  MasVnrType_BrkFace  MasVnrType_None  MasVnrType_Stone  ExterQual_Ex  ExterQual_Fa  ExterQual_Gd  ExterQual_TA  Foundation_BrkTil  Foundation_CBlock  Foundation_PConc  Foundation_Slab  Foundation_Stone  Foundation_Wood  BsmtQual_Ex  BsmtQual_Fa  BsmtQual_Gd  BsmtQual_TA  BsmtExposure_Av  BsmtExposure_Gd  BsmtExposure_Mn  BsmtExposure_No  BsmtFinType1_ALQ  BsmtFinType1_BLQ  BsmtFinType1_GLQ  BsmtFinType1_LwQ  BsmtFinType1_Rec  BsmtFinType1_Unf  HeatingQC_Ex  HeatingQC_Fa  HeatingQC_Gd  HeatingQC_Po  HeatingQC_TA  KitchenQual_Ex  KitchenQual_Fa  KitchenQual_Gd  KitchenQual_TA  FireplaceQu_Ex  FireplaceQu_Fa  FireplaceQu_Gd  FireplaceQu_Po  FireplaceQu_TA  GarageType_2Types  GarageType_Attchd  GarageType_Basment  GarageType_BuiltIn  GarageType_CarPort  GarageType_Detchd  GarageFinish_Fin  GarageFinish_RFn  GarageFinish_Unf\n",
       "0        60.0         65.0   8450.0          7.0          5.0     2003.0        2003.0       196.0       706.0         0.0      150.0        856.0     856.0     854.0           0.0     1710.0           1.0           0.0       2.0       1.0           3.0           1.0           8.0         0.0       2003.0         2.0       548.0         0.0         61.0            0.0        0.0          0.0       0.0      0.0     2.0  2008.0           0.0           0.0           0.0           1.0                   0.0                   0.0                  0.0                   0.0                   0.0                   1.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              0.0              0.0              1.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             0.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0\n",
       "1        20.0         80.0   9600.0          6.0          8.0     1976.0        1976.0         0.0       978.0         0.0      284.0       1262.0    1262.0       0.0           0.0     1262.0           0.0           1.0       2.0       0.0           3.0           1.0           6.0         1.0       1976.0         2.0       460.0       298.0          0.0            0.0        0.0          0.0       0.0      0.0     5.0  2007.0           0.0           0.0           0.0           1.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   1.0                0.0                0.0                1.0                0.0                0.0                0.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  1.0                  0.0                0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  1.0                0.0                  0.0                0.0                 0.0                  0.0                  0.0                  0.0                0.0                 0.0              1.0               0.0           0.0           0.0           0.0           1.0                0.0                1.0               0.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              1.0              0.0              0.0               1.0               0.0               0.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0\n",
       "2        60.0         68.0  11250.0          7.0          5.0     2001.0        2002.0       162.0       486.0         0.0      434.0        920.0     920.0     866.0           0.0     1786.0           1.0           0.0       2.0       1.0           3.0           1.0           6.0         1.0       2001.0         2.0       608.0         0.0         42.0            0.0        0.0          0.0       0.0      0.0     9.0  2008.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   1.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              0.0              0.0              1.0              0.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0\n",
       "3        70.0         60.0   9550.0          7.0          5.0     1915.0        1970.0         0.0       216.0         0.0      540.0        756.0     961.0     756.0           0.0     1717.0           1.0           0.0       1.0       0.0           3.0           1.0           7.0         1.0       1998.0         3.0       642.0         0.0         35.0          272.0        0.0          0.0       0.0      0.0     2.0  2006.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   1.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   0.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  0.0                  0.0                  1.0                0.0                 0.0              1.0               0.0           0.0           0.0           0.0           1.0                1.0                0.0               0.0              0.0               0.0              0.0          0.0          0.0          0.0          1.0              0.0              0.0              0.0              1.0               1.0               0.0               0.0               0.0               0.0               0.0           0.0           0.0           1.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             1.0             0.0             0.0                0.0                0.0                 0.0                 0.0                 0.0                1.0               0.0               0.0               1.0\n",
       "4        60.0         84.0  14260.0          8.0          5.0     2000.0        2000.0       350.0       655.0         0.0      490.0       1145.0    1145.0    1053.0           0.0     2198.0           1.0           0.0       2.0       1.0           4.0           1.0           9.0         1.0       2000.0         3.0       836.0       192.0         84.0            0.0        0.0          0.0       0.0      0.0    12.0  2008.0           1.0           0.0           0.0           0.0                   0.0                   0.0                  0.0                   0.0                   0.0                   0.0                   0.0                   0.0                   0.0                  0.0                   0.0                   0.0                 0.0                   0.0                  0.0                   1.0                   0.0                   0.0                 0.0                  0.0                   0.0                   0.0                   0.0                  0.0                   0.0                0.0                0.0                0.0                0.0                0.0                1.0                0.0              0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                  0.0                  0.0                  0.0                  0.0                 0.0                  0.0                  0.0                  0.0                  0.0                0.0                  0.0                0.0                 0.0                  1.0                  0.0                  0.0                0.0                 1.0              0.0               0.0           0.0           0.0           1.0           0.0                0.0                0.0               1.0              0.0               0.0              0.0          0.0          0.0          1.0          0.0              1.0              0.0              0.0              0.0               0.0               0.0               1.0               0.0               0.0               0.0           1.0           0.0           0.0           0.0           0.0             0.0             0.0             1.0             0.0             0.0             0.0             0.0             0.0             1.0                0.0                1.0                 0.0                 0.0                 0.0                0.0               0.0               1.0               0.0"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def modifyCols(X):    \n",
    "    X['Age'] = X['YrSold'] - X['YearBuilt']\n",
    "    X['ModAge'] = X['YrSold'] - X['YearRemodAdd']\n",
    "    X['GarAge'] = X['YrSold'] - X['GarageYrBlt']\n",
    "    del X['YrSold']\n",
    "    del X['YearBuilt']\n",
    "    del X['YearRemodAdd']\n",
    "    del X['GarageYrBlt']\n",
    "    return X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_train = modifyCols(X_train)\n",
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=sklearn.cross_validation.KFold(n=1460, n_folds=5, shuffle=False, random_state=42),\n",
       "       error_score='raise',\n",
       "       estimator=RandomForestRegressor(bootstrap=False, criterion='mse', max_depth=None,\n",
       "           max_features='auto', max_leaf_nodes=None, min_samples_leaf=1,\n",
       "           min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "           n_estimators=10, n_jobs=1, oob_score=False, random_state=None,\n",
       "           verbose=0, warm_start=False),\n",
       "       fit_params={}, iid=True, n_jobs=1,\n",
       "       param_grid={'n_estimators': (40, 50, 60, 70)},\n",
       "       pre_dispatch='2*n_jobs', refit=True, scoring=None, verbose=0)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.cross_validation import KFold\n",
    "from sklearn.grid_search import GridSearchCV\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "cv = KFold(1460, n_folds=5, random_state=42)\n",
    "params = {'n_estimators' : (40,50,60,70)}\n",
    "#cv = cross_validation.ShuffleSplit(n_samples, n_iter=3, test_size=0.3, random_state=0)\n",
    "reg = RandomForestRegressor(bootstrap=False)\n",
    "grd = GridSearchCV(reg, params, cv=cv)\n",
    "grd.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'n_estimators': 50}"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grd.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**********************************************************************************\n",
    "{'n_estimators': 40}\n",
    "0.98077444414900561\n",
    "array([ 125142.5, 158752.5, 179802.5  ,....,  156180., 106637.325, 221089. ])\n",
    "\n",
    "RF With 40,50,60,70\n",
    "{'n_estimators': 50}\n",
    "1.0\n",
    "array([ 124400.,  172310.,  191960., ...,  150380.,   96830.,  200380.])\n",
    "\n",
    "array([ 120679.7,  139145.7,  172489.3, ...,158996.5,   98080.4,  214603.3])\n",
    "**********************************************************************************"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grd.score(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "newt = modifyCols(newt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_RndmFrst = grd.predict(newt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 124400.,  172310.,  191960., ...,  150380.,   96830.,  200380.])"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_RndmFrst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "resultrandmfrst = pd.DataFrame({'Id' : pd.Series(test.Id), 'SalePrice' : pd.Series(y_RndmFrst)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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>Id</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1461</td>\n",
       "      <td>124400.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1462</td>\n",
       "      <td>172310.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1463</td>\n",
       "      <td>191960.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1464</td>\n",
       "      <td>177392.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1465</td>\n",
       "      <td>218023.84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Id  SalePrice\n",
       "0  1461  124400.00\n",
       "1  1462  172310.00\n",
       "2  1463  191960.00\n",
       "3  1464  177392.00\n",
       "4  1465  218023.84"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultrandmfrst.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "resultrandmfrst.to_csv('predictedRF2.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linear Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 120679.71479946,  139145.76313768,  172489.31908823, ...,\n",
       "        158996.55554857,   98080.47123532,  214603.31707915])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linreg = LinearRegression()\n",
    "linreg.fit(X_train,y_train)\n",
    "result = linreg.predict(newt)\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "resultLinreg = pd.DataFrame({'Id' : pd.Series(test.Id), 'SalePrice' : pd.Series(result)})\n",
    "resultLinreg.to_csv('predictedLinReg2.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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