Day_010_HW.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# 作業 : (Kaggle)房價預測"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [作業目標]\n",
    "- 試著模仿範例寫法, 在房價預測中, 觀察去除離群值的影響"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [作業重點]\n",
    "- 觀察將極端值以上下限值取代, 對於分布與迴歸分數的影響 (In[5], Out[5])\n",
    "- 觀察將極端值資料直接刪除, 對於分布與迴歸分數的影響 (In[6], Out[6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</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>...</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities LotConfig      ...       ScreenPorch PoolArea PoolQC  \\\n",
       "0         Lvl    AllPub    Inside      ...                 0        0    NaN   \n",
       "1         Lvl    AllPub       FR2      ...                 0        0    NaN   \n",
       "2         Lvl    AllPub    Inside      ...                 0        0    NaN   \n",
       "3         Lvl    AllPub    Corner      ...                 0        0    NaN   \n",
       "4         Lvl    AllPub       FR2      ...                 0        0    NaN   \n",
       "\n",
       "  Fence MiscFeature MiscVal  MoSold  YrSold  SaleType  SaleCondition  \n",
       "0   NaN         NaN       0       2    2008        WD         Normal  \n",
       "1   NaN         NaN       0       5    2007        WD         Normal  \n",
       "2   NaN         NaN       0       9    2008        WD         Normal  \n",
       "3   NaN         NaN       0       2    2006        WD        Abnorml  \n",
       "4   NaN         NaN       0      12    2008        WD         Normal  \n",
       "\n",
       "[5 rows x 79 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 做完特徵工程前的所有準備 (與前範例相同)\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "data_path = 'data/'\n",
    "df_train = pd.read_csv(data_path + 'house_train.csv.gz')\n",
    "\n",
    "train_Y = np.log1p(df_train['SalePrice'])\n",
    "df = df_train.drop(['Id', 'SalePrice'] , axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36 Numeric Features : ['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']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#只取 int64, float64 兩種數值型欄位, 存於 num_features 中\n",
    "num_features = []\n",
    "for dtype, feature in zip(df.dtypes, df.columns):\n",
    "    if dtype == 'float64' or dtype == 'int64':\n",
    "        num_features.append(feature)\n",
    "print(f'{len(num_features)} Numeric Features : {num_features}\\n')\n",
    "\n",
    "#36 Numeric Features 79個特徵中只有36個是 Numeric Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>...</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>548</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>608</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>642</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>836</td>\n",
       "      <td>192</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>85.0</td>\n",
       "      <td>14115</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1993</td>\n",
       "      <td>1995</td>\n",
       "      <td>0.0</td>\n",
       "      <td>732</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>480</td>\n",
       "      <td>40</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>320</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>700</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10084</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2005</td>\n",
       "      <td>186.0</td>\n",
       "      <td>1369</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>636</td>\n",
       "      <td>255</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10382</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1973</td>\n",
       "      <td>1973</td>\n",
       "      <td>240.0</td>\n",
       "      <td>859</td>\n",
       "      <td>32</td>\n",
       "      <td>...</td>\n",
       "      <td>484</td>\n",
       "      <td>235</td>\n",
       "      <td>204</td>\n",
       "      <td>228</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350</td>\n",
       "      <td>11</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6120</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1931</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>468</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>190</td>\n",
       "      <td>50.0</td>\n",
       "      <td>7420</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1939</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>851</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20</td>\n",
       "      <td>70.0</td>\n",
       "      <td>11200</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1965</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.0</td>\n",
       "      <td>906</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>384</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>60</td>\n",
       "      <td>85.0</td>\n",
       "      <td>11924</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2006</td>\n",
       "      <td>286.0</td>\n",
       "      <td>998</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>736</td>\n",
       "      <td>147</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12968</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1962</td>\n",
       "      <td>1962</td>\n",
       "      <td>0.0</td>\n",
       "      <td>737</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>352</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20</td>\n",
       "      <td>91.0</td>\n",
       "      <td>10652</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "      <td>2007</td>\n",
       "      <td>306.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>160</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10920</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1960</td>\n",
       "      <td>1960</td>\n",
       "      <td>212.0</td>\n",
       "      <td>733</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>352</td>\n",
       "      <td>0</td>\n",
       "      <td>213</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>45</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6120</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>1929</td>\n",
       "      <td>2001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>576</td>\n",
       "      <td>48</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11241</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1970</td>\n",
       "      <td>1970</td>\n",
       "      <td>180.0</td>\n",
       "      <td>578</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>480</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>700</td>\n",
       "      <td>3</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>90</td>\n",
       "      <td>72.0</td>\n",
       "      <td>10791</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>516</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>500</td>\n",
       "      <td>10</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20</td>\n",
       "      <td>66.0</td>\n",
       "      <td>13695</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>646</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>576</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>70.0</td>\n",
       "      <td>7560</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1958</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.0</td>\n",
       "      <td>504</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>294</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>60</td>\n",
       "      <td>101.0</td>\n",
       "      <td>14215</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2006</td>\n",
       "      <td>380.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>853</td>\n",
       "      <td>240</td>\n",
       "      <td>154</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>45</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7449</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1930</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>280</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20</td>\n",
       "      <td>75.0</td>\n",
       "      <td>9742</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>281.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>534</td>\n",
       "      <td>171</td>\n",
       "      <td>159</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>120</td>\n",
       "      <td>44.0</td>\n",
       "      <td>4224</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>572</td>\n",
       "      <td>100</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8246</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>1968</td>\n",
       "      <td>2001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>188</td>\n",
       "      <td>668</td>\n",
       "      <td>...</td>\n",
       "      <td>270</td>\n",
       "      <td>406</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20</td>\n",
       "      <td>110.0</td>\n",
       "      <td>14230</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>2007</td>\n",
       "      <td>640.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>890</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7200</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1951</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>234</td>\n",
       "      <td>486</td>\n",
       "      <td>...</td>\n",
       "      <td>576</td>\n",
       "      <td>222</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20</td>\n",
       "      <td>98.0</td>\n",
       "      <td>11478</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>772</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20</td>\n",
       "      <td>47.0</td>\n",
       "      <td>16321</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1957</td>\n",
       "      <td>1997</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1277</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>319</td>\n",
       "      <td>288</td>\n",
       "      <td>258</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6324</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1927</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>240</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1430</th>\n",
       "      <td>60</td>\n",
       "      <td>60.0</td>\n",
       "      <td>21930</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>372</td>\n",
       "      <td>100</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1431</th>\n",
       "      <td>120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4928</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>958</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>440</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1432</th>\n",
       "      <td>30</td>\n",
       "      <td>60.0</td>\n",
       "      <td>10800</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1927</td>\n",
       "      <td>2007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1433</th>\n",
       "      <td>60</td>\n",
       "      <td>93.0</td>\n",
       "      <td>10261</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>451</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>17400</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1977</td>\n",
       "      <td>1977</td>\n",
       "      <td>0.0</td>\n",
       "      <td>936</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>484</td>\n",
       "      <td>295</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8400</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1962</td>\n",
       "      <td>2005</td>\n",
       "      <td>237.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>462</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1436</th>\n",
       "      <td>20</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9000</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1971</td>\n",
       "      <td>1971</td>\n",
       "      <td>0.0</td>\n",
       "      <td>616</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>528</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>20</td>\n",
       "      <td>96.0</td>\n",
       "      <td>12444</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008</td>\n",
       "      <td>426.0</td>\n",
       "      <td>1336</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>774</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>304</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1438</th>\n",
       "      <td>20</td>\n",
       "      <td>90.0</td>\n",
       "      <td>7407</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1957</td>\n",
       "      <td>1996</td>\n",
       "      <td>0.0</td>\n",
       "      <td>600</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>923</td>\n",
       "      <td>0</td>\n",
       "      <td>158</td>\n",
       "      <td>158</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>60</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11584</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1979</td>\n",
       "      <td>1979</td>\n",
       "      <td>96.0</td>\n",
       "      <td>315</td>\n",
       "      <td>110</td>\n",
       "      <td>...</td>\n",
       "      <td>550</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1440</th>\n",
       "      <td>70</td>\n",
       "      <td>79.0</td>\n",
       "      <td>11526</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1922</td>\n",
       "      <td>1994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>672</td>\n",
       "      <td>431</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1441</th>\n",
       "      <td>120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4426</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>147.0</td>\n",
       "      <td>697</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>420</td>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>60</td>\n",
       "      <td>85.0</td>\n",
       "      <td>11003</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008</td>\n",
       "      <td>160.0</td>\n",
       "      <td>765</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>812</td>\n",
       "      <td>168</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8854</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1916</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>192</td>\n",
       "      <td>0</td>\n",
       "      <td>98</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>20</td>\n",
       "      <td>63.0</td>\n",
       "      <td>8500</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>106.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>626</td>\n",
       "      <td>192</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>85</td>\n",
       "      <td>70.0</td>\n",
       "      <td>8400</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1966</td>\n",
       "      <td>1966</td>\n",
       "      <td>0.0</td>\n",
       "      <td>187</td>\n",
       "      <td>627</td>\n",
       "      <td>...</td>\n",
       "      <td>240</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>252</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1446</th>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26142</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1962</td>\n",
       "      <td>1962</td>\n",
       "      <td>189.0</td>\n",
       "      <td>593</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>312</td>\n",
       "      <td>261</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1447</th>\n",
       "      <td>60</td>\n",
       "      <td>80.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>1995</td>\n",
       "      <td>1996</td>\n",
       "      <td>438.0</td>\n",
       "      <td>1079</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>556</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1448</th>\n",
       "      <td>50</td>\n",
       "      <td>70.0</td>\n",
       "      <td>11767</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1910</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>384</td>\n",
       "      <td>168</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1449</th>\n",
       "      <td>180</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1533</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1970</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>553</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450</th>\n",
       "      <td>90</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9000</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1974</td>\n",
       "      <td>1974</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>20</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9262</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2009</td>\n",
       "      <td>194.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1452</th>\n",
       "      <td>180</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3675</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>80.0</td>\n",
       "      <td>547</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>525</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1453</th>\n",
       "      <td>20</td>\n",
       "      <td>90.0</td>\n",
       "      <td>17217</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>20</td>\n",
       "      <td>62.0</td>\n",
       "      <td>7500</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>410</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>400</td>\n",
       "      <td>0</td>\n",
       "      <td>113</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>60</td>\n",
       "      <td>62.0</td>\n",
       "      <td>7917</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1999</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>20</td>\n",
       "      <td>85.0</td>\n",
       "      <td>13175</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1978</td>\n",
       "      <td>1988</td>\n",
       "      <td>119.0</td>\n",
       "      <td>790</td>\n",
       "      <td>163</td>\n",
       "      <td>...</td>\n",
       "      <td>500</td>\n",
       "      <td>349</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>70</td>\n",
       "      <td>66.0</td>\n",
       "      <td>9042</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>1941</td>\n",
       "      <td>2006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>252</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2500</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>20</td>\n",
       "      <td>68.0</td>\n",
       "      <td>9717</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1950</td>\n",
       "      <td>1996</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49</td>\n",
       "      <td>1029</td>\n",
       "      <td>...</td>\n",
       "      <td>240</td>\n",
       "      <td>366</td>\n",
       "      <td>0</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1459</th>\n",
       "      <td>20</td>\n",
       "      <td>75.0</td>\n",
       "      <td>9937</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1965</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.0</td>\n",
       "      <td>830</td>\n",
       "      <td>290</td>\n",
       "      <td>...</td>\n",
       "      <td>276</td>\n",
       "      <td>736</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1460 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0             60         65.0     8450            7            5       2003   \n",
       "1             20         80.0     9600            6            8       1976   \n",
       "2             60         68.0    11250            7            5       2001   \n",
       "3             70         60.0     9550            7            5       1915   \n",
       "4             60         84.0    14260            8            5       2000   \n",
       "5             50         85.0    14115            5            5       1993   \n",
       "6             20         75.0    10084            8            5       2004   \n",
       "7             60          NaN    10382            7            6       1973   \n",
       "8             50         51.0     6120            7            5       1931   \n",
       "9            190         50.0     7420            5            6       1939   \n",
       "10            20         70.0    11200            5            5       1965   \n",
       "11            60         85.0    11924            9            5       2005   \n",
       "12            20          NaN    12968            5            6       1962   \n",
       "13            20         91.0    10652            7            5       2006   \n",
       "14            20          NaN    10920            6            5       1960   \n",
       "15            45         51.0     6120            7            8       1929   \n",
       "16            20          NaN    11241            6            7       1970   \n",
       "17            90         72.0    10791            4            5       1967   \n",
       "18            20         66.0    13695            5            5       2004   \n",
       "19            20         70.0     7560            5            6       1958   \n",
       "20            60        101.0    14215            8            5       2005   \n",
       "21            45         57.0     7449            7            7       1930   \n",
       "22            20         75.0     9742            8            5       2002   \n",
       "23           120         44.0     4224            5            7       1976   \n",
       "24            20          NaN     8246            5            8       1968   \n",
       "25            20        110.0    14230            8            5       2007   \n",
       "26            20         60.0     7200            5            7       1951   \n",
       "27            20         98.0    11478            8            5       2007   \n",
       "28            20         47.0    16321            5            6       1957   \n",
       "29            30         60.0     6324            4            6       1927   \n",
       "...          ...          ...      ...          ...          ...        ...   \n",
       "1430          60         60.0    21930            5            5       2005   \n",
       "1431         120          NaN     4928            6            6       1976   \n",
       "1432          30         60.0    10800            4            6       1927   \n",
       "1433          60         93.0    10261            6            5       2000   \n",
       "1434          20         80.0    17400            5            5       1977   \n",
       "1435          20         80.0     8400            6            9       1962   \n",
       "1436          20         60.0     9000            4            6       1971   \n",
       "1437          20         96.0    12444            8            5       2008   \n",
       "1438          20         90.0     7407            6            7       1957   \n",
       "1439          60         80.0    11584            7            6       1979   \n",
       "1440          70         79.0    11526            6            7       1922   \n",
       "1441         120          NaN     4426            6            5       2004   \n",
       "1442          60         85.0    11003           10            5       2008   \n",
       "1443          30          NaN     8854            6            6       1916   \n",
       "1444          20         63.0     8500            7            5       2004   \n",
       "1445          85         70.0     8400            6            5       1966   \n",
       "1446          20          NaN    26142            5            7       1962   \n",
       "1447          60         80.0    10000            8            5       1995   \n",
       "1448          50         70.0    11767            4            7       1910   \n",
       "1449         180         21.0     1533            5            7       1970   \n",
       "1450          90         60.0     9000            5            5       1974   \n",
       "1451          20         78.0     9262            8            5       2008   \n",
       "1452         180         35.0     3675            5            5       2005   \n",
       "1453          20         90.0    17217            5            5       2006   \n",
       "1454          20         62.0     7500            7            5       2004   \n",
       "1455          60         62.0     7917            6            5       1999   \n",
       "1456          20         85.0    13175            6            6       1978   \n",
       "1457          70         66.0     9042            7            9       1941   \n",
       "1458          20         68.0     9717            5            6       1950   \n",
       "1459          20         75.0     9937            5            6       1965   \n",
       "\n",
       "      YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2   ...    GarageArea  \\\n",
       "0             2003       196.0         706           0   ...           548   \n",
       "1             1976         0.0         978           0   ...           460   \n",
       "2             2002       162.0         486           0   ...           608   \n",
       "3             1970         0.0         216           0   ...           642   \n",
       "4             2000       350.0         655           0   ...           836   \n",
       "5             1995         0.0         732           0   ...           480   \n",
       "6             2005       186.0        1369           0   ...           636   \n",
       "7             1973       240.0         859          32   ...           484   \n",
       "8             1950         0.0           0           0   ...           468   \n",
       "9             1950         0.0         851           0   ...           205   \n",
       "10            1965         0.0         906           0   ...           384   \n",
       "11            2006       286.0         998           0   ...           736   \n",
       "12            1962         0.0         737           0   ...           352   \n",
       "13            2007       306.0           0           0   ...           840   \n",
       "14            1960       212.0         733           0   ...           352   \n",
       "15            2001         0.0           0           0   ...           576   \n",
       "16            1970       180.0         578           0   ...           480   \n",
       "17            1967         0.0           0           0   ...           516   \n",
       "18            2004         0.0         646           0   ...           576   \n",
       "19            1965         0.0         504           0   ...           294   \n",
       "20            2006       380.0           0           0   ...           853   \n",
       "21            1950         0.0           0           0   ...           280   \n",
       "22            2002       281.0           0           0   ...           534   \n",
       "23            1976         0.0         840           0   ...           572   \n",
       "24            2001         0.0         188         668   ...           270   \n",
       "25            2007       640.0           0           0   ...           890   \n",
       "26            2000         0.0         234         486   ...           576   \n",
       "27            2008       200.0        1218           0   ...           772   \n",
       "28            1997         0.0        1277           0   ...           319   \n",
       "29            1950         0.0           0           0   ...           240   \n",
       "...            ...         ...         ...         ...   ...           ...   \n",
       "1430          2005         0.0           0           0   ...           372   \n",
       "1431          1976         0.0         958           0   ...           440   \n",
       "1432          2007         0.0           0           0   ...           216   \n",
       "1433          2000       318.0           0           0   ...           451   \n",
       "1434          1977         0.0         936           0   ...           484   \n",
       "1435          2005       237.0           0           0   ...           462   \n",
       "1436          1971         0.0         616           0   ...           528   \n",
       "1437          2008       426.0        1336           0   ...           774   \n",
       "1438          1996         0.0         600           0   ...           923   \n",
       "1439          1979        96.0         315         110   ...           550   \n",
       "1440          1994         0.0           0           0   ...           672   \n",
       "1441          2004       147.0         697           0   ...           420   \n",
       "1442          2008       160.0         765           0   ...           812   \n",
       "1443          1950         0.0           0           0   ...           192   \n",
       "1444          2004       106.0           0           0   ...           626   \n",
       "1445          1966         0.0         187         627   ...           240   \n",
       "1446          1962       189.0         593           0   ...           312   \n",
       "1447          1996       438.0        1079           0   ...           556   \n",
       "1448          2000         0.0           0           0   ...           384   \n",
       "1449          1970         0.0         553           0   ...             0   \n",
       "1450          1974         0.0           0           0   ...             0   \n",
       "1451          2009       194.0           0           0   ...           840   \n",
       "1452          2005        80.0         547           0   ...           525   \n",
       "1453          2006         0.0           0           0   ...             0   \n",
       "1454          2005         0.0         410           0   ...           400   \n",
       "1455          2000         0.0           0           0   ...           460   \n",
       "1456          1988       119.0         790         163   ...           500   \n",
       "1457          2006         0.0         275           0   ...           252   \n",
       "1458          1996         0.0          49        1029   ...           240   \n",
       "1459          1965         0.0         830         290   ...           276   \n",
       "\n",
       "      WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  \\\n",
       "0              0           61              0          0            0   \n",
       "1            298            0              0          0            0   \n",
       "2              0           42              0          0            0   \n",
       "3              0           35            272          0            0   \n",
       "4            192           84              0          0            0   \n",
       "5             40           30              0        320            0   \n",
       "6            255           57              0          0            0   \n",
       "7            235          204            228          0            0   \n",
       "8             90            0            205          0            0   \n",
       "9              0            4              0          0            0   \n",
       "10             0            0              0          0            0   \n",
       "11           147           21              0          0            0   \n",
       "12           140            0              0          0          176   \n",
       "13           160           33              0          0            0   \n",
       "14             0          213            176          0            0   \n",
       "15            48          112              0          0            0   \n",
       "16             0            0              0          0            0   \n",
       "17             0            0              0          0            0   \n",
       "18             0          102              0          0            0   \n",
       "19             0            0              0          0            0   \n",
       "20           240          154              0          0            0   \n",
       "21             0            0            205          0            0   \n",
       "22           171          159              0          0            0   \n",
       "23           100          110              0          0            0   \n",
       "24           406           90              0          0            0   \n",
       "25             0           56              0          0            0   \n",
       "26           222           32              0          0            0   \n",
       "27             0           50              0          0            0   \n",
       "28           288          258              0          0            0   \n",
       "29            49            0             87          0            0   \n",
       "...          ...          ...            ...        ...          ...   \n",
       "1430         100           40              0          0            0   \n",
       "1431           0           60              0          0            0   \n",
       "1432           0            0              0          0            0   \n",
       "1433           0            0              0          0            0   \n",
       "1434         295           41              0          0            0   \n",
       "1435           0           36              0          0            0   \n",
       "1436           0            0              0          0            0   \n",
       "1437           0           66              0        304            0   \n",
       "1438           0          158            158          0            0   \n",
       "1439           0           88            216          0            0   \n",
       "1440         431            0              0          0            0   \n",
       "1441         149            0              0          0            0   \n",
       "1442         168           52              0          0            0   \n",
       "1443           0           98              0          0           40   \n",
       "1444         192           60              0          0            0   \n",
       "1445           0            0            252          0            0   \n",
       "1446         261           39              0          0            0   \n",
       "1447           0           65              0          0            0   \n",
       "1448         168           24              0          0            0   \n",
       "1449           0            0              0          0            0   \n",
       "1450          32           45              0          0            0   \n",
       "1451           0           36              0          0            0   \n",
       "1452           0           28              0          0            0   \n",
       "1453          36           56              0          0            0   \n",
       "1454           0          113              0          0            0   \n",
       "1455           0           40              0          0            0   \n",
       "1456         349            0              0          0            0   \n",
       "1457           0           60              0          0            0   \n",
       "1458         366            0            112          0            0   \n",
       "1459         736           68              0          0            0   \n",
       "\n",
       "      PoolArea  MiscVal  MoSold  YrSold  \n",
       "0            0        0       2    2008  \n",
       "1            0        0       5    2007  \n",
       "2            0        0       9    2008  \n",
       "3            0        0       2    2006  \n",
       "4            0        0      12    2008  \n",
       "5            0      700      10    2009  \n",
       "6            0        0       8    2007  \n",
       "7            0      350      11    2009  \n",
       "8            0        0       4    2008  \n",
       "9            0        0       1    2008  \n",
       "10           0        0       2    2008  \n",
       "11           0        0       7    2006  \n",
       "12           0        0       9    2008  \n",
       "13           0        0       8    2007  \n",
       "14           0        0       5    2008  \n",
       "15           0        0       7    2007  \n",
       "16           0      700       3    2010  \n",
       "17           0      500      10    2006  \n",
       "18           0        0       6    2008  \n",
       "19           0        0       5    2009  \n",
       "20           0        0      11    2006  \n",
       "21           0        0       6    2007  \n",
       "22           0        0       9    2008  \n",
       "23           0        0       6    2007  \n",
       "24           0        0       5    2010  \n",
       "25           0        0       7    2009  \n",
       "26           0        0       5    2010  \n",
       "27           0        0       5    2010  \n",
       "28           0        0      12    2006  \n",
       "29           0        0       5    2008  \n",
       "...        ...      ...     ...     ...  \n",
       "1430         0        0       7    2006  \n",
       "1431         0        0      10    2009  \n",
       "1432         0        0       8    2007  \n",
       "1433         0        0       5    2008  \n",
       "1434         0        0       5    2006  \n",
       "1435         0        0       7    2008  \n",
       "1436         0        0       5    2007  \n",
       "1437         0        0      11    2008  \n",
       "1438         0        0       4    2010  \n",
       "1439         0        0      11    2007  \n",
       "1440         0        0       9    2008  \n",
       "1441         0        0       5    2008  \n",
       "1442         0        0       4    2009  \n",
       "1443         0        0       5    2009  \n",
       "1444         0        0      11    2007  \n",
       "1445         0        0       5    2007  \n",
       "1446         0        0       4    2010  \n",
       "1447         0        0      12    2007  \n",
       "1448         0        0       5    2007  \n",
       "1449         0        0       8    2006  \n",
       "1450         0        0       9    2009  \n",
       "1451         0        0       5    2009  \n",
       "1452         0        0       5    2006  \n",
       "1453         0        0       7    2006  \n",
       "1454         0        0      10    2009  \n",
       "1455         0        0       8    2007  \n",
       "1456         0        0       2    2010  \n",
       "1457         0     2500       5    2010  \n",
       "1458         0        0       4    2010  \n",
       "1459         0        0       6    2008  \n",
       "\n",
       "[1460 rows x 36 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 削減文字型欄位, 只剩數值型欄位\n",
    "\n",
    "df = df[num_features]  #新的df由df[num_features]取代-->只留下數值型特徵分析\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1460\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>...</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>548</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>608</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>642</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>836</td>\n",
       "      <td>192</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0          60         65.0     8450            7            5       2003   \n",
       "1          20         80.0     9600            6            8       1976   \n",
       "2          60         68.0    11250            7            5       2001   \n",
       "3          70         60.0     9550            7            5       1915   \n",
       "4          60         84.0    14260            8            5       2000   \n",
       "\n",
       "   YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2   ...    GarageArea  \\\n",
       "0          2003       196.0         706           0   ...           548   \n",
       "1          1976         0.0         978           0   ...           460   \n",
       "2          2002       162.0         486           0   ...           608   \n",
       "3          1970         0.0         216           0   ...           642   \n",
       "4          2000       350.0         655           0   ...           836   \n",
       "\n",
       "   WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  \\\n",
       "0           0           61              0          0            0         0   \n",
       "1         298            0              0          0            0         0   \n",
       "2           0           42              0          0            0         0   \n",
       "3           0           35            272          0            0         0   \n",
       "4         192           84              0          0            0         0   \n",
       "\n",
       "   MiscVal  MoSold  YrSold  \n",
       "0        0       2    2008  \n",
       "1        0       5    2007  \n",
       "2        0       9    2008  \n",
       "3        0       2    2006  \n",
       "4        0      12    2008  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MMEncoder = MinMaxScaler()  #MMEncoder定義為 MinMaxScaler()方法運用\n",
    "train_num = train_Y.shape[0]\n",
    "print(train_num) #1460個訓練數\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>...</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>548</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>608</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>642</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>836</td>\n",
       "      <td>192</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>50</td>\n",
       "      <td>85.0</td>\n",
       "      <td>14115</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1993</td>\n",
       "      <td>1995</td>\n",
       "      <td>0.0</td>\n",
       "      <td>732</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>480</td>\n",
       "      <td>40</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>320</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>700</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20</td>\n",
       "      <td>75.0</td>\n",
       "      <td>10084</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2005</td>\n",
       "      <td>186.0</td>\n",
       "      <td>1369</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>636</td>\n",
       "      <td>255</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>10382</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1973</td>\n",
       "      <td>1973</td>\n",
       "      <td>240.0</td>\n",
       "      <td>859</td>\n",
       "      <td>32</td>\n",
       "      <td>...</td>\n",
       "      <td>484</td>\n",
       "      <td>235</td>\n",
       "      <td>204</td>\n",
       "      <td>228</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>350</td>\n",
       "      <td>11</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>50</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6120</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1931</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>468</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>190</td>\n",
       "      <td>50.0</td>\n",
       "      <td>7420</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1939</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>851</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20</td>\n",
       "      <td>70.0</td>\n",
       "      <td>11200</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1965</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.0</td>\n",
       "      <td>906</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>384</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>60</td>\n",
       "      <td>85.0</td>\n",
       "      <td>11924</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2006</td>\n",
       "      <td>286.0</td>\n",
       "      <td>998</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>736</td>\n",
       "      <td>147</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>12968</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1962</td>\n",
       "      <td>1962</td>\n",
       "      <td>0.0</td>\n",
       "      <td>737</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>352</td>\n",
       "      <td>140</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20</td>\n",
       "      <td>91.0</td>\n",
       "      <td>10652</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "      <td>2007</td>\n",
       "      <td>306.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>160</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>10920</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1960</td>\n",
       "      <td>1960</td>\n",
       "      <td>212.0</td>\n",
       "      <td>733</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>352</td>\n",
       "      <td>0</td>\n",
       "      <td>213</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>45</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6120</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>1929</td>\n",
       "      <td>2001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>576</td>\n",
       "      <td>48</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>11241</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1970</td>\n",
       "      <td>1970</td>\n",
       "      <td>180.0</td>\n",
       "      <td>578</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>480</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>700</td>\n",
       "      <td>3</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>90</td>\n",
       "      <td>72.0</td>\n",
       "      <td>10791</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>516</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>500</td>\n",
       "      <td>10</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20</td>\n",
       "      <td>66.0</td>\n",
       "      <td>13695</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>646</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>576</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>70.0</td>\n",
       "      <td>7560</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1958</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.0</td>\n",
       "      <td>504</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>294</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>60</td>\n",
       "      <td>101.0</td>\n",
       "      <td>14215</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2006</td>\n",
       "      <td>380.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>853</td>\n",
       "      <td>240</td>\n",
       "      <td>154</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>45</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7449</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1930</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>280</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20</td>\n",
       "      <td>75.0</td>\n",
       "      <td>9742</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>281.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>534</td>\n",
       "      <td>171</td>\n",
       "      <td>159</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>120</td>\n",
       "      <td>44.0</td>\n",
       "      <td>4224</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>840</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>572</td>\n",
       "      <td>100</td>\n",
       "      <td>110</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>8246</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>1968</td>\n",
       "      <td>2001</td>\n",
       "      <td>0.0</td>\n",
       "      <td>188</td>\n",
       "      <td>668</td>\n",
       "      <td>...</td>\n",
       "      <td>270</td>\n",
       "      <td>406</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20</td>\n",
       "      <td>110.0</td>\n",
       "      <td>14230</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>2007</td>\n",
       "      <td>640.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>890</td>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7200</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1951</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>234</td>\n",
       "      <td>486</td>\n",
       "      <td>...</td>\n",
       "      <td>576</td>\n",
       "      <td>222</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20</td>\n",
       "      <td>98.0</td>\n",
       "      <td>11478</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>2008</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1218</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>772</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20</td>\n",
       "      <td>47.0</td>\n",
       "      <td>16321</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1957</td>\n",
       "      <td>1997</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1277</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>319</td>\n",
       "      <td>288</td>\n",
       "      <td>258</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6324</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1927</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>240</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1430</th>\n",
       "      <td>60</td>\n",
       "      <td>60.0</td>\n",
       "      <td>21930</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>372</td>\n",
       "      <td>100</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1431</th>\n",
       "      <td>120</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>4928</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>958</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>440</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1432</th>\n",
       "      <td>30</td>\n",
       "      <td>60.0</td>\n",
       "      <td>10800</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1927</td>\n",
       "      <td>2007</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1433</th>\n",
       "      <td>60</td>\n",
       "      <td>93.0</td>\n",
       "      <td>10261</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>451</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>17400</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1977</td>\n",
       "      <td>1977</td>\n",
       "      <td>0.0</td>\n",
       "      <td>936</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>484</td>\n",
       "      <td>295</td>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8400</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>1962</td>\n",
       "      <td>2005</td>\n",
       "      <td>237.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>462</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1436</th>\n",
       "      <td>20</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9000</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1971</td>\n",
       "      <td>1971</td>\n",
       "      <td>0.0</td>\n",
       "      <td>616</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>528</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>20</td>\n",
       "      <td>96.0</td>\n",
       "      <td>12444</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008</td>\n",
       "      <td>426.0</td>\n",
       "      <td>1336</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>774</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "      <td>304</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1438</th>\n",
       "      <td>20</td>\n",
       "      <td>90.0</td>\n",
       "      <td>7407</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1957</td>\n",
       "      <td>1996</td>\n",
       "      <td>0.0</td>\n",
       "      <td>600</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>923</td>\n",
       "      <td>0</td>\n",
       "      <td>158</td>\n",
       "      <td>158</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>60</td>\n",
       "      <td>80.0</td>\n",
       "      <td>11584</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>1979</td>\n",
       "      <td>1979</td>\n",
       "      <td>96.0</td>\n",
       "      <td>315</td>\n",
       "      <td>110</td>\n",
       "      <td>...</td>\n",
       "      <td>550</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1440</th>\n",
       "      <td>70</td>\n",
       "      <td>79.0</td>\n",
       "      <td>11526</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>1922</td>\n",
       "      <td>1994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>672</td>\n",
       "      <td>431</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1441</th>\n",
       "      <td>120</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>4426</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>147.0</td>\n",
       "      <td>697</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>420</td>\n",
       "      <td>149</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>60</td>\n",
       "      <td>85.0</td>\n",
       "      <td>11003</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2008</td>\n",
       "      <td>160.0</td>\n",
       "      <td>765</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>812</td>\n",
       "      <td>168</td>\n",
       "      <td>52</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>30</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>8854</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1916</td>\n",
       "      <td>1950</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>192</td>\n",
       "      <td>0</td>\n",
       "      <td>98</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>20</td>\n",
       "      <td>63.0</td>\n",
       "      <td>8500</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2004</td>\n",
       "      <td>106.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>626</td>\n",
       "      <td>192</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>85</td>\n",
       "      <td>70.0</td>\n",
       "      <td>8400</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1966</td>\n",
       "      <td>1966</td>\n",
       "      <td>0.0</td>\n",
       "      <td>187</td>\n",
       "      <td>627</td>\n",
       "      <td>...</td>\n",
       "      <td>240</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>252</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1446</th>\n",
       "      <td>20</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>26142</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1962</td>\n",
       "      <td>1962</td>\n",
       "      <td>189.0</td>\n",
       "      <td>593</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>312</td>\n",
       "      <td>261</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1447</th>\n",
       "      <td>60</td>\n",
       "      <td>80.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>1995</td>\n",
       "      <td>1996</td>\n",
       "      <td>438.0</td>\n",
       "      <td>1079</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>556</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1448</th>\n",
       "      <td>50</td>\n",
       "      <td>70.0</td>\n",
       "      <td>11767</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1910</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>384</td>\n",
       "      <td>168</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1449</th>\n",
       "      <td>180</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1533</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1970</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>553</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450</th>\n",
       "      <td>90</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9000</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1974</td>\n",
       "      <td>1974</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>20</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9262</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>2009</td>\n",
       "      <td>194.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>840</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1452</th>\n",
       "      <td>180</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3675</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>80.0</td>\n",
       "      <td>547</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>525</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1453</th>\n",
       "      <td>20</td>\n",
       "      <td>90.0</td>\n",
       "      <td>17217</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "      <td>2006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>20</td>\n",
       "      <td>62.0</td>\n",
       "      <td>7500</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2004</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>410</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>400</td>\n",
       "      <td>0</td>\n",
       "      <td>113</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>60</td>\n",
       "      <td>62.0</td>\n",
       "      <td>7917</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1999</td>\n",
       "      <td>2000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>460</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>20</td>\n",
       "      <td>85.0</td>\n",
       "      <td>13175</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>1978</td>\n",
       "      <td>1988</td>\n",
       "      <td>119.0</td>\n",
       "      <td>790</td>\n",
       "      <td>163</td>\n",
       "      <td>...</td>\n",
       "      <td>500</td>\n",
       "      <td>349</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>70</td>\n",
       "      <td>66.0</td>\n",
       "      <td>9042</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>1941</td>\n",
       "      <td>2006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>275</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>252</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2500</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>20</td>\n",
       "      <td>68.0</td>\n",
       "      <td>9717</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1950</td>\n",
       "      <td>1996</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49</td>\n",
       "      <td>1029</td>\n",
       "      <td>...</td>\n",
       "      <td>240</td>\n",
       "      <td>366</td>\n",
       "      <td>0</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1459</th>\n",
       "      <td>20</td>\n",
       "      <td>75.0</td>\n",
       "      <td>9937</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1965</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.0</td>\n",
       "      <td>830</td>\n",
       "      <td>290</td>\n",
       "      <td>...</td>\n",
       "      <td>276</td>\n",
       "      <td>736</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1460 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0             60         65.0     8450            7            5       2003   \n",
       "1             20         80.0     9600            6            8       1976   \n",
       "2             60         68.0    11250            7            5       2001   \n",
       "3             70         60.0     9550            7            5       1915   \n",
       "4             60         84.0    14260            8            5       2000   \n",
       "5             50         85.0    14115            5            5       1993   \n",
       "6             20         75.0    10084            8            5       2004   \n",
       "7             60         -1.0    10382            7            6       1973   \n",
       "8             50         51.0     6120            7            5       1931   \n",
       "9            190         50.0     7420            5            6       1939   \n",
       "10            20         70.0    11200            5            5       1965   \n",
       "11            60         85.0    11924            9            5       2005   \n",
       "12            20         -1.0    12968            5            6       1962   \n",
       "13            20         91.0    10652            7            5       2006   \n",
       "14            20         -1.0    10920            6            5       1960   \n",
       "15            45         51.0     6120            7            8       1929   \n",
       "16            20         -1.0    11241            6            7       1970   \n",
       "17            90         72.0    10791            4            5       1967   \n",
       "18            20         66.0    13695            5            5       2004   \n",
       "19            20         70.0     7560            5            6       1958   \n",
       "20            60        101.0    14215            8            5       2005   \n",
       "21            45         57.0     7449            7            7       1930   \n",
       "22            20         75.0     9742            8            5       2002   \n",
       "23           120         44.0     4224            5            7       1976   \n",
       "24            20         -1.0     8246            5            8       1968   \n",
       "25            20        110.0    14230            8            5       2007   \n",
       "26            20         60.0     7200            5            7       1951   \n",
       "27            20         98.0    11478            8            5       2007   \n",
       "28            20         47.0    16321            5            6       1957   \n",
       "29            30         60.0     6324            4            6       1927   \n",
       "...          ...          ...      ...          ...          ...        ...   \n",
       "1430          60         60.0    21930            5            5       2005   \n",
       "1431         120         -1.0     4928            6            6       1976   \n",
       "1432          30         60.0    10800            4            6       1927   \n",
       "1433          60         93.0    10261            6            5       2000   \n",
       "1434          20         80.0    17400            5            5       1977   \n",
       "1435          20         80.0     8400            6            9       1962   \n",
       "1436          20         60.0     9000            4            6       1971   \n",
       "1437          20         96.0    12444            8            5       2008   \n",
       "1438          20         90.0     7407            6            7       1957   \n",
       "1439          60         80.0    11584            7            6       1979   \n",
       "1440          70         79.0    11526            6            7       1922   \n",
       "1441         120         -1.0     4426            6            5       2004   \n",
       "1442          60         85.0    11003           10            5       2008   \n",
       "1443          30         -1.0     8854            6            6       1916   \n",
       "1444          20         63.0     8500            7            5       2004   \n",
       "1445          85         70.0     8400            6            5       1966   \n",
       "1446          20         -1.0    26142            5            7       1962   \n",
       "1447          60         80.0    10000            8            5       1995   \n",
       "1448          50         70.0    11767            4            7       1910   \n",
       "1449         180         21.0     1533            5            7       1970   \n",
       "1450          90         60.0     9000            5            5       1974   \n",
       "1451          20         78.0     9262            8            5       2008   \n",
       "1452         180         35.0     3675            5            5       2005   \n",
       "1453          20         90.0    17217            5            5       2006   \n",
       "1454          20         62.0     7500            7            5       2004   \n",
       "1455          60         62.0     7917            6            5       1999   \n",
       "1456          20         85.0    13175            6            6       1978   \n",
       "1457          70         66.0     9042            7            9       1941   \n",
       "1458          20         68.0     9717            5            6       1950   \n",
       "1459          20         75.0     9937            5            6       1965   \n",
       "\n",
       "      YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2   ...    GarageArea  \\\n",
       "0             2003       196.0         706           0   ...           548   \n",
       "1             1976         0.0         978           0   ...           460   \n",
       "2             2002       162.0         486           0   ...           608   \n",
       "3             1970         0.0         216           0   ...           642   \n",
       "4             2000       350.0         655           0   ...           836   \n",
       "5             1995         0.0         732           0   ...           480   \n",
       "6             2005       186.0        1369           0   ...           636   \n",
       "7             1973       240.0         859          32   ...           484   \n",
       "8             1950         0.0           0           0   ...           468   \n",
       "9             1950         0.0         851           0   ...           205   \n",
       "10            1965         0.0         906           0   ...           384   \n",
       "11            2006       286.0         998           0   ...           736   \n",
       "12            1962         0.0         737           0   ...           352   \n",
       "13            2007       306.0           0           0   ...           840   \n",
       "14            1960       212.0         733           0   ...           352   \n",
       "15            2001         0.0           0           0   ...           576   \n",
       "16            1970       180.0         578           0   ...           480   \n",
       "17            1967         0.0           0           0   ...           516   \n",
       "18            2004         0.0         646           0   ...           576   \n",
       "19            1965         0.0         504           0   ...           294   \n",
       "20            2006       380.0           0           0   ...           853   \n",
       "21            1950         0.0           0           0   ...           280   \n",
       "22            2002       281.0           0           0   ...           534   \n",
       "23            1976         0.0         840           0   ...           572   \n",
       "24            2001         0.0         188         668   ...           270   \n",
       "25            2007       640.0           0           0   ...           890   \n",
       "26            2000         0.0         234         486   ...           576   \n",
       "27            2008       200.0        1218           0   ...           772   \n",
       "28            1997         0.0        1277           0   ...           319   \n",
       "29            1950         0.0           0           0   ...           240   \n",
       "...            ...         ...         ...         ...   ...           ...   \n",
       "1430          2005         0.0           0           0   ...           372   \n",
       "1431          1976         0.0         958           0   ...           440   \n",
       "1432          2007         0.0           0           0   ...           216   \n",
       "1433          2000       318.0           0           0   ...           451   \n",
       "1434          1977         0.0         936           0   ...           484   \n",
       "1435          2005       237.0           0           0   ...           462   \n",
       "1436          1971         0.0         616           0   ...           528   \n",
       "1437          2008       426.0        1336           0   ...           774   \n",
       "1438          1996         0.0         600           0   ...           923   \n",
       "1439          1979        96.0         315         110   ...           550   \n",
       "1440          1994         0.0           0           0   ...           672   \n",
       "1441          2004       147.0         697           0   ...           420   \n",
       "1442          2008       160.0         765           0   ...           812   \n",
       "1443          1950         0.0           0           0   ...           192   \n",
       "1444          2004       106.0           0           0   ...           626   \n",
       "1445          1966         0.0         187         627   ...           240   \n",
       "1446          1962       189.0         593           0   ...           312   \n",
       "1447          1996       438.0        1079           0   ...           556   \n",
       "1448          2000         0.0           0           0   ...           384   \n",
       "1449          1970         0.0         553           0   ...             0   \n",
       "1450          1974         0.0           0           0   ...             0   \n",
       "1451          2009       194.0           0           0   ...           840   \n",
       "1452          2005        80.0         547           0   ...           525   \n",
       "1453          2006         0.0           0           0   ...             0   \n",
       "1454          2005         0.0         410           0   ...           400   \n",
       "1455          2000         0.0           0           0   ...           460   \n",
       "1456          1988       119.0         790         163   ...           500   \n",
       "1457          2006         0.0         275           0   ...           252   \n",
       "1458          1996         0.0          49        1029   ...           240   \n",
       "1459          1965         0.0         830         290   ...           276   \n",
       "\n",
       "      WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  ScreenPorch  \\\n",
       "0              0           61              0          0            0   \n",
       "1            298            0              0          0            0   \n",
       "2              0           42              0          0            0   \n",
       "3              0           35            272          0            0   \n",
       "4            192           84              0          0            0   \n",
       "5             40           30              0        320            0   \n",
       "6            255           57              0          0            0   \n",
       "7            235          204            228          0            0   \n",
       "8             90            0            205          0            0   \n",
       "9              0            4              0          0            0   \n",
       "10             0            0              0          0            0   \n",
       "11           147           21              0          0            0   \n",
       "12           140            0              0          0          176   \n",
       "13           160           33              0          0            0   \n",
       "14             0          213            176          0            0   \n",
       "15            48          112              0          0            0   \n",
       "16             0            0              0          0            0   \n",
       "17             0            0              0          0            0   \n",
       "18             0          102              0          0            0   \n",
       "19             0            0              0          0            0   \n",
       "20           240          154              0          0            0   \n",
       "21             0            0            205          0            0   \n",
       "22           171          159              0          0            0   \n",
       "23           100          110              0          0            0   \n",
       "24           406           90              0          0            0   \n",
       "25             0           56              0          0            0   \n",
       "26           222           32              0          0            0   \n",
       "27             0           50              0          0            0   \n",
       "28           288          258              0          0            0   \n",
       "29            49            0             87          0            0   \n",
       "...          ...          ...            ...        ...          ...   \n",
       "1430         100           40              0          0            0   \n",
       "1431           0           60              0          0            0   \n",
       "1432           0            0              0          0            0   \n",
       "1433           0            0              0          0            0   \n",
       "1434         295           41              0          0            0   \n",
       "1435           0           36              0          0            0   \n",
       "1436           0            0              0          0            0   \n",
       "1437           0           66              0        304            0   \n",
       "1438           0          158            158          0            0   \n",
       "1439           0           88            216          0            0   \n",
       "1440         431            0              0          0            0   \n",
       "1441         149            0              0          0            0   \n",
       "1442         168           52              0          0            0   \n",
       "1443           0           98              0          0           40   \n",
       "1444         192           60              0          0            0   \n",
       "1445           0            0            252          0            0   \n",
       "1446         261           39              0          0            0   \n",
       "1447           0           65              0          0            0   \n",
       "1448         168           24              0          0            0   \n",
       "1449           0            0              0          0            0   \n",
       "1450          32           45              0          0            0   \n",
       "1451           0           36              0          0            0   \n",
       "1452           0           28              0          0            0   \n",
       "1453          36           56              0          0            0   \n",
       "1454           0          113              0          0            0   \n",
       "1455           0           40              0          0            0   \n",
       "1456         349            0              0          0            0   \n",
       "1457           0           60              0          0            0   \n",
       "1458         366            0            112          0            0   \n",
       "1459         736           68              0          0            0   \n",
       "\n",
       "      PoolArea  MiscVal  MoSold  YrSold  \n",
       "0            0        0       2    2008  \n",
       "1            0        0       5    2007  \n",
       "2            0        0       9    2008  \n",
       "3            0        0       2    2006  \n",
       "4            0        0      12    2008  \n",
       "5            0      700      10    2009  \n",
       "6            0        0       8    2007  \n",
       "7            0      350      11    2009  \n",
       "8            0        0       4    2008  \n",
       "9            0        0       1    2008  \n",
       "10           0        0       2    2008  \n",
       "11           0        0       7    2006  \n",
       "12           0        0       9    2008  \n",
       "13           0        0       8    2007  \n",
       "14           0        0       5    2008  \n",
       "15           0        0       7    2007  \n",
       "16           0      700       3    2010  \n",
       "17           0      500      10    2006  \n",
       "18           0        0       6    2008  \n",
       "19           0        0       5    2009  \n",
       "20           0        0      11    2006  \n",
       "21           0        0       6    2007  \n",
       "22           0        0       9    2008  \n",
       "23           0        0       6    2007  \n",
       "24           0        0       5    2010  \n",
       "25           0        0       7    2009  \n",
       "26           0        0       5    2010  \n",
       "27           0        0       5    2010  \n",
       "28           0        0      12    2006  \n",
       "29           0        0       5    2008  \n",
       "...        ...      ...     ...     ...  \n",
       "1430         0        0       7    2006  \n",
       "1431         0        0      10    2009  \n",
       "1432         0        0       8    2007  \n",
       "1433         0        0       5    2008  \n",
       "1434         0        0       5    2006  \n",
       "1435         0        0       7    2008  \n",
       "1436         0        0       5    2007  \n",
       "1437         0        0      11    2008  \n",
       "1438         0        0       4    2010  \n",
       "1439         0        0      11    2007  \n",
       "1440         0        0       9    2008  \n",
       "1441         0        0       5    2008  \n",
       "1442         0        0       4    2009  \n",
       "1443         0        0       5    2009  \n",
       "1444         0        0      11    2007  \n",
       "1445         0        0       5    2007  \n",
       "1446         0        0       4    2010  \n",
       "1447         0        0      12    2007  \n",
       "1448         0        0       5    2007  \n",
       "1449         0        0       8    2006  \n",
       "1450         0        0       9    2009  \n",
       "1451         0        0       5    2009  \n",
       "1452         0        0       5    2006  \n",
       "1453         0        0       7    2006  \n",
       "1454         0        0      10    2009  \n",
       "1455         0        0       8    2007  \n",
       "1456         0        0       2    2010  \n",
       "1457         0     2500       5    2010  \n",
       "1458         0        0       4    2010  \n",
       "1459         0        0       6    2008  \n",
       "\n",
       "[1460 rows x 36 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.fillna(-1)  #NaN遺失值由-1取代之,但為什麼是用-1取代呢?\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# 作業1\n",
    "* 試著限制 '1樓地板面積(平方英尺)' (1stFlrSF) 欄位的上下限, 看看能否再進一步提高分數?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\supervisor\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.84137378239865"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 顯示 1stFlrSF 與目標值的散佈圖\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.regplot(x = df['1stFlrSF'][:train_num], y=train_Y)\n",
    "plt.show()\n",
    "\n",
    "# 做線性迴歸, 觀察分數\n",
    "train_X = MMEncoder.fit_transform(df)\n",
    "estimator = LinearRegression()\n",
    "cross_val_score(estimator, train_X, train_Y, cv=5).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\supervisor\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 將 1stFlrSF 限制在你覺得適合的範圍內, 調整離群值\n",
    "# 將 1stFlrSF 限制在 500 到 2000 以內, 去除極端值\n",
    "df['1stFlrSF'] = df['1stFlrSF'].clip(500, 2000) #clip(500, 2000)限制x範圍,去除離群值\n",
    "sns.regplot(x = df['1stFlrSF'][:train_num], y=train_Y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8765804860107911"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 做線性迴歸, 觀察分數\n",
    "train_X = MMEncoder.fit_transform(df)\n",
    "estimator = LinearRegression()\n",
    "cross_val_score(estimator, train_X, train_Y, cv=5).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# 作業2\n",
    "* 續前題, 去除離群值有兩類方式 :  捨棄離群值(刪除離群的資料) 以及調整離群值,  \n",
    "請試著用同樣的上下限, 改為 '捨棄離群值' 的方法, 看看結果會變好還是變差? 並試著解釋原因。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\supervisor\\Anaconda3\\lib\\site-packages\\scipy\\stats\\stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.8855763520524299"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 將 1stFlrSF 限制在你覺得適合的範圍內, 捨棄離群值\n",
    "keep_indexs = (df['1stFlrSF']> 500) & (df['1stFlrSF']< 2000)\n",
    "df = df[keep_indexs]\n",
    "train_Y = train_Y[keep_indexs]\n",
    "sns.regplot(x = df['1stFlrSF'], y=train_Y)\n",
    "plt.show()\n",
    "\n",
    "# 做線性迴歸, 觀察分數\n",
    "train_X = MMEncoder.fit_transform(df)\n",
    "estimator = LinearRegression()\n",
    "cross_val_score(estimator, train_X, train_Y, cv=5).mean()\n",
    "\n",
    "#cross_val_score:which is intended to avoid the possible bias introduced by relying on any one particular division into test\n",
    "#and train components, is to partition the original set in several different ways and to compute an average score over the \n",
    "#different partitions."
   ]
  },
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   "metadata": {},
   "source": [
    "### estimatorestimator object implementing ‘fit’\n",
    "### The object to use to fit the data.\n",
    "\n",
    "### Xarray-like of shape (n_samples, n_features)\n",
    "### The data to fit. Can be for example a list, or an array.\n",
    "\n",
    "### yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None\n",
    "### The target variable to try to predict in the case of supervised learning.\n",
    "\n",
    "### groupsarray-like of shape (n_samples,), default=None\n",
    "### Group labels for the samples used while splitting the dataset into train/test set. Only used in conjunction with a “Group” cv instance (e.g., GroupKFold).\n",
    "\n",
    "### scoringstr or callable, default=None\n",
    "### A str (see model evaluation documentation) or a scorer callable object / function with signature scorer(estimator, X, y) which should return only a single value.\n",
    "\n",
    "### Similar to cross_validate but only a single metric is permitted.\n",
    "\n",
    "### If None, the estimator’s default scorer (if available) is used.\n",
    "\n",
    "### cvint, cross-validation generator or an iterable, default=None\n",
    "### Determines the cross-validation splitting strategy. Possible inputs for cv are:\n",
    "\n",
    "### None, to use the default 5-fold cross validation,\n",
    "\n",
    "### int, to specify the number of folds in a (Stratified)KFold,\n",
    "\n",
    "### CV splitter,\n",
    "\n",
    "### An iterable yielding (train, test) splits as arrays of indices.\n",
    "\n",
    "### For int/None inputs, if the estimator is a classifier and y is either binary or multiclass, StratifiedKFold is used. In all other cases, KFold is used.\n",
    "\n",
    "### Refer User Guide for the various cross-validation strategies that can be used here."
   ]
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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