Regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas  as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data = pd.read_csv(\"C:/Machine Learning/Hackathons/Kaggle/House Price/train_Copy.csv\")\n",
    "test_data = pd.read_csv(\"C:/Machine Learning/Hackathons/Kaggle/House Price/test_Copy.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "response = train_data[\"SalePrice\"].copy()\n",
    "train_data.drop(columns=[\"SalePrice\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape for Training Data is (1460, 80) and Shape for Test data is (1459, 80)\n"
     ]
    }
   ],
   "source": [
    "print(\"Shape for Training Data is {} and Shape for Test data is {}\".format(train_data.shape,test_data.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Id</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>...</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>1</td>\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>...</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>2</td>\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>...</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>3</td>\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>...</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>4</td>\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>...</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>5</td>\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>...</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 × 80 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0   1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1   2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2   3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3   4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4   5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities  ... ScreenPorch PoolArea PoolQC Fence MiscFeature  \\\n",
       "0         Lvl    AllPub  ...           0        0    NaN   NaN         NaN   \n",
       "1         Lvl    AllPub  ...           0        0    NaN   NaN         NaN   \n",
       "2         Lvl    AllPub  ...           0        0    NaN   NaN         NaN   \n",
       "3         Lvl    AllPub  ...           0        0    NaN   NaN         NaN   \n",
       "4         Lvl    AllPub  ...           0        0    NaN   NaN         NaN   \n",
       "\n",
       "  MiscVal MoSold  YrSold  SaleType  SaleCondition  \n",
       "0       0      2    2008        WD         Normal  \n",
       "1       0      5    2007        WD         Normal  \n",
       "2       0      9    2008        WD         Normal  \n",
       "3       0      2    2006        WD        Abnorml  \n",
       "4       0     12    2008        WD         Normal  \n",
       "\n",
       "[5 rows x 80 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def missing_count(df,threshold):\n",
    "    \"\"\" This function takes two arguments:\n",
    "    input\n",
    "        df = Dataframe\n",
    "        threshold= fraction of column data in percent( between 0 and 100) having the missing values\n",
    "    output\n",
    "    data frame having the column name as index and missing % as the fraction missing the data\"\"\"\n",
    "    if (isinstance(df, pd.DataFrame)):\n",
    "        missing_data = pd.DataFrame( (df.isnull().sum().sort_values(ascending= False)/len(df))*100, columns=[\"Missing %\"])\n",
    "        return (missing_data[missing_data[\"Missing %\"]> threshold])\n",
    "    else:\n",
    "        print(\"Passed data set is not a Dataframe!\")\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing Columns are Index(['PoolQC', 'MiscFeature', 'Alley', 'Fence'], dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PoolQC</th>\n",
       "      <td>99.520548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
       "      <td>96.301370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>93.767123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>80.753425</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Missing %\n",
       "PoolQC       99.520548\n",
       "MiscFeature  96.301370\n",
       "Alley        93.767123\n",
       "Fence        80.753425"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_column = missing_count(train_data,50)\n",
    "print(\"Missing Columns are\",missing_column.index)\n",
    "missing_column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to allow more rows in the output\n",
    "pd.set_option(\"display.max_rows\",85)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                  0\n",
       "MSSubClass          0\n",
       "MSZoning            0\n",
       "LotFrontage       259\n",
       "LotArea             0\n",
       "Street              0\n",
       "Alley            1369\n",
       "LotShape            0\n",
       "LandContour         0\n",
       "Utilities           0\n",
       "LotConfig           0\n",
       "LandSlope           0\n",
       "Neighborhood        0\n",
       "Condition1          0\n",
       "Condition2          0\n",
       "BldgType            0\n",
       "HouseStyle          0\n",
       "OverallQual         0\n",
       "OverallCond         0\n",
       "YearBuilt           0\n",
       "YearRemodAdd        0\n",
       "RoofStyle           0\n",
       "RoofMatl            0\n",
       "Exterior1st         0\n",
       "Exterior2nd         0\n",
       "MasVnrType          8\n",
       "MasVnrArea          8\n",
       "ExterQual           0\n",
       "ExterCond           0\n",
       "Foundation          0\n",
       "BsmtQual           37\n",
       "BsmtCond           37\n",
       "BsmtExposure       38\n",
       "BsmtFinType1       37\n",
       "BsmtFinSF1          0\n",
       "BsmtFinType2       38\n",
       "BsmtFinSF2          0\n",
       "BsmtUnfSF           0\n",
       "TotalBsmtSF         0\n",
       "Heating             0\n",
       "HeatingQC           0\n",
       "CentralAir          0\n",
       "Electrical          1\n",
       "1stFlrSF            0\n",
       "2ndFlrSF            0\n",
       "LowQualFinSF        0\n",
       "GrLivArea           0\n",
       "BsmtFullBath        0\n",
       "BsmtHalfBath        0\n",
       "FullBath            0\n",
       "HalfBath            0\n",
       "BedroomAbvGr        0\n",
       "KitchenAbvGr        0\n",
       "KitchenQual         0\n",
       "TotRmsAbvGrd        0\n",
       "Functional          0\n",
       "Fireplaces          0\n",
       "FireplaceQu       690\n",
       "GarageType         81\n",
       "GarageYrBlt        81\n",
       "GarageFinish       81\n",
       "GarageCars          0\n",
       "GarageArea          0\n",
       "GarageQual         81\n",
       "GarageCond         81\n",
       "PavedDrive          0\n",
       "WoodDeckSF          0\n",
       "OpenPorchSF         0\n",
       "EnclosedPorch       0\n",
       "3SsnPorch           0\n",
       "ScreenPorch         0\n",
       "PoolArea            0\n",
       "PoolQC           1453\n",
       "Fence            1179\n",
       "MiscFeature      1406\n",
       "MiscVal             0\n",
       "MoSold              0\n",
       "YrSold              0\n",
       "SaleType            0\n",
       "SaleCondition       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#above function or for a quick look by using the below one liner:\n",
    "train_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data.drop(columns=missing_column.index,axis=1, inplace=True)\n",
    "test_data.drop(columns=missing_column.index,axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape for Training data after deletion is (1460, 76) \n",
      "Shape for Test data after deletion is (1459, 76).\n",
      "Total column deleted are 4\n",
      "Following columns are deleted :  Index(['PoolQC', 'MiscFeature', 'Alley', 'Fence'], dtype='object')  \n"
     ]
    }
   ],
   "source": [
    "print(\"Shape for Training data after deletion is {} \\nShape for Test data after deletion is {}.\\nTotal column deleted are {}\\nFollowing columns are deleted :  {}  \".format(train_data.shape,test_data.shape, len(missing_column), missing_column.index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def datatypes(df):\n",
    "    '''This function returns the counts of various datatype in a dataframe\n",
    "    input\n",
    "        df = dataframe for which to count the datatypes\n",
    "    output\n",
    "        obj = datatype of Object type\n",
    "        nonobj = datatype of Int or Float type\n",
    "        unknown = datatype other than Object or Int or Float\n",
    "    '''\n",
    "    obj = []\n",
    "    nonobj = []\n",
    "    unknown = []\n",
    "    if(isinstance(df, pd.DataFrame)):\n",
    "        tpe = df.dtypes\n",
    "        for i in range(len(tpe)):\n",
    "            if tpe[i] ==\"object\":\n",
    "                obj.append(tpe.index[i])\n",
    "            elif (tpe[i] ==\"int64\" or tpe[i] ==\"float64\"):\n",
    "                nonobj.append(tpe.index[i])\n",
    "            else:\n",
    "                unknown.append(tpe.index[i])\n",
    "        print(\"Total Object Type is {}\\nTotal Float or Int is {}\\nTotal unknown type is {}\".format(len(obj),len(nonobj),len(unknown)))\n",
    "        return obj, nonobj,unknown\n",
    "    else:\n",
    "        print(\"Passed dataframe is not a Dataframe\")\n",
    "        return obj, nonobj, unknown\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Object Type is 39\n",
      "Total Float or Int is 37\n",
      "Total unknown type is 0\n"
     ]
    }
   ],
   "source": [
    "obj, nonobj, unknown = datatypes(train_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "object     39\n",
       "int64      34\n",
       "float64     3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# use the custom function or use the below python function for the same\n",
    "train_data.dtypes.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#sns.pairplot(data=train_data,y_vars=response, x_vars=nonobj )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from  scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'DataFrame' object has no attribute 'SalePrice'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-18-0537f00462a0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0max1\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m \u001b[0max1\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'boxplot'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mboxplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtrain_data\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSalePrice\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      9\u001b[0m \u001b[0max2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mgrid\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m \u001b[0max2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Histogram/DistributionPlot'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m   5178\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5179\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5180\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   5181\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5182\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'DataFrame' object has no attribute 'SalePrice'"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1512x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#The top level container for all the plot elements.\n",
    "fig = plt.pyplot.figure(figsize=(21,15)) # its width and height in the figsize \n",
    "#Specifies the geometry of the grid that a subplot can be placed in.\n",
    "grid = plt.gridspec.GridSpec(3,4,figure=fig)\n",
    "#location on the grid where the plot will visible\n",
    "ax1 = fig.add_subplot(grid[0, 0:2])\n",
    "ax1.set_title('boxplot')\n",
    "sns.boxplot(train_data.SalePrice,)\n",
    "ax2 = fig.add_subplot(grid[1:, 0:2])\n",
    "ax2.set_title('Histogram/DistributionPlot')\n",
    "sns.distplot(train_data.SalePrice,)\n",
    "ax3 = fig.add_subplot(grid[0:33,2:4])\n",
    "t =stats.probplot(train_data.SalePrice, plot=sns.mpl.pyplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "def skew_kurtosis(df):\n",
    "    '''This function returns the kurtosis, skewness and std of a dataframe\n",
    "    input\n",
    "        df = dataframe for which to count the datatypes\n",
    "    output\n",
    "        dataframe having three columns as skewness, kurtosis and std along with the column name.\n",
    "    '''\n",
    "    if(isinstance(df, pd.DataFrame)):\n",
    "        _, nobj,_  = datatypes(df)\n",
    "        dictionary ={\"Skewness\":df[nobj].skew(), \"Kurtosis\":df[nobj].kurt(), \"Std\":df[nobj].std()}\n",
    "        return (pd.DataFrame(dictionary))\n",
    "\n",
    "    else:\n",
    "        print(\"Passed dataframe is not a Dataframe\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Object Type is 39\n",
      "Total Float or Int is 37\n",
      "Total unknown type is 0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Skewness</th>\n",
       "      <th>Kurtosis</th>\n",
       "      <th>Std</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Id</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>-1.200000</td>\n",
       "      <td>421.610009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSSubClass</th>\n",
       "      <td>1.407657</td>\n",
       "      <td>1.580188</td>\n",
       "      <td>42.300571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>2.163569</td>\n",
       "      <td>17.452867</td>\n",
       "      <td>24.284752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotArea</th>\n",
       "      <td>12.207688</td>\n",
       "      <td>203.243271</td>\n",
       "      <td>9981.264932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverallQual</th>\n",
       "      <td>0.216944</td>\n",
       "      <td>0.096293</td>\n",
       "      <td>1.382997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OverallCond</th>\n",
       "      <td>0.693067</td>\n",
       "      <td>1.106413</td>\n",
       "      <td>1.112799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearBuilt</th>\n",
       "      <td>-0.613461</td>\n",
       "      <td>-0.439552</td>\n",
       "      <td>30.202904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <td>-0.503562</td>\n",
       "      <td>-1.272245</td>\n",
       "      <td>20.645407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>2.669084</td>\n",
       "      <td>10.082417</td>\n",
       "      <td>181.066207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <td>1.685503</td>\n",
       "      <td>11.118236</td>\n",
       "      <td>456.098091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <td>4.255261</td>\n",
       "      <td>20.113338</td>\n",
       "      <td>161.319273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <td>0.920268</td>\n",
       "      <td>0.474994</td>\n",
       "      <td>441.866955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <td>1.524255</td>\n",
       "      <td>13.250483</td>\n",
       "      <td>438.705324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1stFlrSF</th>\n",
       "      <td>1.376757</td>\n",
       "      <td>5.745841</td>\n",
       "      <td>386.587738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <td>0.813030</td>\n",
       "      <td>-0.553464</td>\n",
       "      <td>436.528436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <td>9.011341</td>\n",
       "      <td>83.234817</td>\n",
       "      <td>48.623081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GrLivArea</th>\n",
       "      <td>1.366560</td>\n",
       "      <td>4.895121</td>\n",
       "      <td>525.480383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <td>0.596067</td>\n",
       "      <td>-0.839098</td>\n",
       "      <td>0.518911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <td>4.103403</td>\n",
       "      <td>16.396642</td>\n",
       "      <td>0.238753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullBath</th>\n",
       "      <td>0.036562</td>\n",
       "      <td>-0.857043</td>\n",
       "      <td>0.550916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HalfBath</th>\n",
       "      <td>0.675897</td>\n",
       "      <td>-1.076927</td>\n",
       "      <td>0.502885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <td>0.211790</td>\n",
       "      <td>2.230875</td>\n",
       "      <td>0.815778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <td>4.488397</td>\n",
       "      <td>21.532404</td>\n",
       "      <td>0.220338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <td>0.676341</td>\n",
       "      <td>0.880762</td>\n",
       "      <td>1.625393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fireplaces</th>\n",
       "      <td>0.649565</td>\n",
       "      <td>-0.217237</td>\n",
       "      <td>0.644666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>-0.649415</td>\n",
       "      <td>-0.418341</td>\n",
       "      <td>24.689725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCars</th>\n",
       "      <td>-0.342549</td>\n",
       "      <td>0.220998</td>\n",
       "      <td>0.747315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageArea</th>\n",
       "      <td>0.179981</td>\n",
       "      <td>0.917067</td>\n",
       "      <td>213.804841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <td>1.541376</td>\n",
       "      <td>2.992951</td>\n",
       "      <td>125.338794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <td>2.364342</td>\n",
       "      <td>8.490336</td>\n",
       "      <td>66.256028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <td>3.089872</td>\n",
       "      <td>10.430766</td>\n",
       "      <td>61.119149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3SsnPorch</th>\n",
       "      <td>10.304342</td>\n",
       "      <td>123.662379</td>\n",
       "      <td>29.317331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ScreenPorch</th>\n",
       "      <td>4.122214</td>\n",
       "      <td>18.439068</td>\n",
       "      <td>55.757415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PoolArea</th>\n",
       "      <td>14.828374</td>\n",
       "      <td>223.268499</td>\n",
       "      <td>40.177307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscVal</th>\n",
       "      <td>24.476794</td>\n",
       "      <td>701.003342</td>\n",
       "      <td>496.123024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MoSold</th>\n",
       "      <td>0.212053</td>\n",
       "      <td>-0.404109</td>\n",
       "      <td>2.703626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YrSold</th>\n",
       "      <td>0.096269</td>\n",
       "      <td>-1.190601</td>\n",
       "      <td>1.328095</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Skewness    Kurtosis          Std\n",
       "Id              0.000000   -1.200000   421.610009\n",
       "MSSubClass      1.407657    1.580188    42.300571\n",
       "LotFrontage     2.163569   17.452867    24.284752\n",
       "LotArea        12.207688  203.243271  9981.264932\n",
       "OverallQual     0.216944    0.096293     1.382997\n",
       "OverallCond     0.693067    1.106413     1.112799\n",
       "YearBuilt      -0.613461   -0.439552    30.202904\n",
       "YearRemodAdd   -0.503562   -1.272245    20.645407\n",
       "MasVnrArea      2.669084   10.082417   181.066207\n",
       "BsmtFinSF1      1.685503   11.118236   456.098091\n",
       "BsmtFinSF2      4.255261   20.113338   161.319273\n",
       "BsmtUnfSF       0.920268    0.474994   441.866955\n",
       "TotalBsmtSF     1.524255   13.250483   438.705324\n",
       "1stFlrSF        1.376757    5.745841   386.587738\n",
       "2ndFlrSF        0.813030   -0.553464   436.528436\n",
       "LowQualFinSF    9.011341   83.234817    48.623081\n",
       "GrLivArea       1.366560    4.895121   525.480383\n",
       "BsmtFullBath    0.596067   -0.839098     0.518911\n",
       "BsmtHalfBath    4.103403   16.396642     0.238753\n",
       "FullBath        0.036562   -0.857043     0.550916\n",
       "HalfBath        0.675897   -1.076927     0.502885\n",
       "BedroomAbvGr    0.211790    2.230875     0.815778\n",
       "KitchenAbvGr    4.488397   21.532404     0.220338\n",
       "TotRmsAbvGrd    0.676341    0.880762     1.625393\n",
       "Fireplaces      0.649565   -0.217237     0.644666\n",
       "GarageYrBlt    -0.649415   -0.418341    24.689725\n",
       "GarageCars     -0.342549    0.220998     0.747315\n",
       "GarageArea      0.179981    0.917067   213.804841\n",
       "WoodDeckSF      1.541376    2.992951   125.338794\n",
       "OpenPorchSF     2.364342    8.490336    66.256028\n",
       "EnclosedPorch   3.089872   10.430766    61.119149\n",
       "3SsnPorch      10.304342  123.662379    29.317331\n",
       "ScreenPorch     4.122214   18.439068    55.757415\n",
       "PoolArea       14.828374  223.268499    40.177307\n",
       "MiscVal        24.476794  701.003342   496.123024\n",
       "MoSold          0.212053   -0.404109     2.703626\n",
       "YrSold          0.096269   -1.190601     1.328095"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skew_kurtosis(train_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MiscVal          701.003342\n",
       "PoolArea         223.268499\n",
       "LotArea          203.243271\n",
       "3SsnPorch        123.662379\n",
       "LowQualFinSF      83.234817\n",
       "KitchenAbvGr      21.532404\n",
       "BsmtFinSF2        20.113338\n",
       "ScreenPorch       18.439068\n",
       "LotFrontage       17.452867\n",
       "BsmtHalfBath      16.396642\n",
       "TotalBsmtSF       13.250483\n",
       "BsmtFinSF1        11.118236\n",
       "EnclosedPorch     10.430766\n",
       "MasVnrArea        10.082417\n",
       "OpenPorchSF        8.490336\n",
       "1stFlrSF           5.745841\n",
       "GrLivArea          4.895121\n",
       "WoodDeckSF         2.992951\n",
       "BedroomAbvGr       2.230875\n",
       "MSSubClass         1.580188\n",
       "OverallCond        1.106413\n",
       "GarageArea         0.917067\n",
       "TotRmsAbvGrd       0.880762\n",
       "BsmtUnfSF          0.474994\n",
       "GarageCars         0.220998\n",
       "OverallQual        0.096293\n",
       "Fireplaces        -0.217237\n",
       "MoSold            -0.404109\n",
       "GarageYrBlt       -0.418341\n",
       "YearBuilt         -0.439552\n",
       "2ndFlrSF          -0.553464\n",
       "BsmtFullBath      -0.839098\n",
       "FullBath          -0.857043\n",
       "HalfBath          -1.076927\n",
       "YrSold            -1.190601\n",
       "Id                -1.200000\n",
       "YearRemodAdd      -1.272245\n",
       "dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use the above function or below single python function along with sorting of values:\n",
    "train_data[nonobj].kurt().sort_values(ascending= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MiscVal          24.476794\n",
       "PoolArea         14.828374\n",
       "LotArea          12.207688\n",
       "3SsnPorch        10.304342\n",
       "LowQualFinSF      9.011341\n",
       "KitchenAbvGr      4.488397\n",
       "BsmtFinSF2        4.255261\n",
       "ScreenPorch       4.122214\n",
       "BsmtHalfBath      4.103403\n",
       "EnclosedPorch     3.089872\n",
       "MasVnrArea        2.669084\n",
       "OpenPorchSF       2.364342\n",
       "LotFrontage       2.163569\n",
       "BsmtFinSF1        1.685503\n",
       "WoodDeckSF        1.541376\n",
       "TotalBsmtSF       1.524255\n",
       "MSSubClass        1.407657\n",
       "1stFlrSF          1.376757\n",
       "GrLivArea         1.366560\n",
       "BsmtUnfSF         0.920268\n",
       "2ndFlrSF          0.813030\n",
       "OverallCond       0.693067\n",
       "TotRmsAbvGrd      0.676341\n",
       "HalfBath          0.675897\n",
       "Fireplaces        0.649565\n",
       "BsmtFullBath      0.596067\n",
       "OverallQual       0.216944\n",
       "MoSold            0.212053\n",
       "BedroomAbvGr      0.211790\n",
       "GarageArea        0.179981\n",
       "YrSold            0.096269\n",
       "FullBath          0.036562\n",
       "Id                0.000000\n",
       "GarageCars       -0.342549\n",
       "YearRemodAdd     -0.503562\n",
       "YearBuilt        -0.613461\n",
       "GarageYrBlt      -0.649415\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Use the above function or below single python function along with sorting of values:\n",
    "train_data[nonobj].skew().sort_values(ascending= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use the above function or below single python function along with sorting of values:\n",
    "train_data[nonobj].std().sort_values(ascending= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "missing_count(train_data,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>FireplaceQu</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>GarageCond</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>GarageType</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageFinish</th>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <th>BsmtExposure</th>\n",
       "      <th>BsmtQual</th>\n",
       "      <th>BsmtCond</th>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>MasVnrType</th>\n",
       "      <th>Electrical</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>Unf</td>\n",
       "      <td>No</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>196.0</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>SBrkr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TA</td>\n",
       "      <td>80.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>SBrkr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TA</td>\n",
       "      <td>68.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Mn</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>162.0</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>SBrkr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gd</td>\n",
       "      <td>60.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Unf</td>\n",
       "      <td>No</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>SBrkr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TA</td>\n",
       "      <td>84.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>Unf</td>\n",
       "      <td>Av</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>350.0</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>SBrkr</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  FireplaceQu  LotFrontage GarageCond GarageQual GarageType  GarageYrBlt  \\\n",
       "0         NaN         65.0         TA         TA     Attchd       2003.0   \n",
       "1          TA         80.0         TA         TA     Attchd       1976.0   \n",
       "2          TA         68.0         TA         TA     Attchd       2001.0   \n",
       "3          Gd         60.0         TA         TA     Detchd       1998.0   \n",
       "4          TA         84.0         TA         TA     Attchd       2000.0   \n",
       "\n",
       "  GarageFinish BsmtFinType2 BsmtExposure BsmtQual BsmtCond BsmtFinType1  \\\n",
       "0          RFn          Unf           No       Gd       TA          GLQ   \n",
       "1          RFn          Unf           Gd       Gd       TA          ALQ   \n",
       "2          RFn          Unf           Mn       Gd       TA          GLQ   \n",
       "3          Unf          Unf           No       TA       Gd          ALQ   \n",
       "4          RFn          Unf           Av       Gd       TA          GLQ   \n",
       "\n",
       "   MasVnrArea MasVnrType Electrical  \n",
       "0       196.0    BrkFace      SBrkr  \n",
       "1         0.0       None      SBrkr  \n",
       "2       162.0    BrkFace      SBrkr  \n",
       "3         0.0       None      SBrkr  \n",
       "4       350.0    BrkFace      SBrkr  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data[missing_count(train_data,0.001).index].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fill_missing(df,threshold):\n",
    "    '''This function returns the dataframe with no missing values\n",
    "    input\n",
    "        df = dataframe for which to fill the missing values\n",
    "    output\n",
    "        dataframe with filled missing values.\n",
    "    '''\n",
    "    if(isinstance(df,pd.DataFrame)):\n",
    "        if(threshold >=0 and threshold <= 100):\n",
    "            col = missing_count(df,threshold).index\n",
    "            for i in col:\n",
    "                if ((df[i].dtypes == \"float64\") or (df[i].dtypes == \"int64\") ):\n",
    "                    df[i].fillna(df[i].mean(), inplace = True)\n",
    "                else:\n",
    "        # always be cautious with Mode, as The problem here is that mode returns a series and \n",
    "        #this is causing the fillna to faill, as mode returns a series so you have to access \n",
    "        #the first element as shown below with [0]\n",
    "                    df[i].fillna(df[i].mode()[0], inplace = True)\n",
    "                    #print(df[i].unique())\n",
    "            return df\n",
    "        else:\n",
    "            print(\"Threshold should be in between 0-100\")\n",
    "    else:\n",
    "        print(\"Passed dataframe is not a Dataframe\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "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>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>...</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>3</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>RL</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>14115</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>10084</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>10382</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>50</td>\n",
       "      <td>RM</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>6120</td>\n",
       "      <td>Pave</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>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",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>190</td>\n",
       "      <td>RL</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>7420</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>11200</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>11</th>\n",
       "      <td>12</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>11924</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>12968</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR2</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>0</td>\n",
       "      <td>176</td>\n",
       "      <td>0</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>13</th>\n",
       "      <td>14</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>10652</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>10920</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>45</td>\n",
       "      <td>RM</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>6120</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>11241</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>CulDSac</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>700</td>\n",
       "      <td>3</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>90</td>\n",
       "      <td>RL</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>10791</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>500</td>\n",
       "      <td>10</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>13695</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>7560</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2009</td>\n",
       "      <td>COD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>101.000000</td>\n",
       "      <td>14215</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>45</td>\n",
       "      <td>RM</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>7449</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>9742</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>120</td>\n",
       "      <td>RM</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>4224</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>8246</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>14230</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>7200</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>11478</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>16321</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>CulDSac</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>RM</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>6324</td>\n",
       "      <td>Pave</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>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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>70</td>\n",
       "      <td>C (all)</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>8500</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>54</td>\n",
       "      <td>172</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>8544</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>CulDSac</td>\n",
       "      <td>...</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>6</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>11049</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</td>\n",
       "      <td>30</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>10552</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>38</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>120</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>7313</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>47</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>13418</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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>9</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>10859</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</td>\n",
       "      <td>64</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>2009</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>8532</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2009</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>7922</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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>1</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>90</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>6040</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>AdjLand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>8658</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>138</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",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>16905</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>104</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",
       "      <td>WD</td>\n",
       "      <td>Normal</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>1418</th>\n",
       "      <td>1419</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>9204</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>88</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>2008</td>\n",
       "      <td>COD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1419</th>\n",
       "      <td>1420</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>16381</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>73</td>\n",
       "      <td>216</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1420</th>\n",
       "      <td>1421</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>11700</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</td>\n",
       "      <td>169</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>119</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1421</th>\n",
       "      <td>1422</td>\n",
       "      <td>120</td>\n",
       "      <td>RL</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>4043</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>165</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1422</th>\n",
       "      <td>1423</td>\n",
       "      <td>120</td>\n",
       "      <td>RM</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>4435</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1423</th>\n",
       "      <td>1424</td>\n",
       "      <td>80</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>19690</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>CulDSac</td>\n",
       "      <td>...</td>\n",
       "      <td>236</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>738</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Alloca</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1424</th>\n",
       "      <td>1425</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>9503</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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>6</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1425</th>\n",
       "      <td>1426</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>10721</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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>10</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1426</th>\n",
       "      <td>1427</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>10944</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>132</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>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1427</th>\n",
       "      <td>1428</td>\n",
       "      <td>50</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>10930</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</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>4</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1428</th>\n",
       "      <td>1429</td>\n",
       "      <td>30</td>\n",
       "      <td>RM</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>7200</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>154</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",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1429</th>\n",
       "      <td>1430</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>12546</td>\n",
       "      <td>Pave</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>99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1430</th>\n",
       "      <td>1431</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>21930</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR3</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1431</th>\n",
       "      <td>1432</td>\n",
       "      <td>120</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>4928</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1432</th>\n",
       "      <td>1433</td>\n",
       "      <td>30</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>10800</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1433</th>\n",
       "      <td>1434</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>93.000000</td>\n",
       "      <td>10261</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1434</th>\n",
       "      <td>1435</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>17400</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Low</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1435</th>\n",
       "      <td>1436</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8400</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>COD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1436</th>\n",
       "      <td>1437</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>9000</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>1437</th>\n",
       "      <td>1438</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>12444</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</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",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1438</th>\n",
       "      <td>1439</td>\n",
       "      <td>20</td>\n",
       "      <td>RM</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>7407</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1439</th>\n",
       "      <td>1440</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>11584</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1440</th>\n",
       "      <td>1441</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>11526</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</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>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1441</th>\n",
       "      <td>1442</td>\n",
       "      <td>120</td>\n",
       "      <td>RM</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>4426</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>1443</td>\n",
       "      <td>60</td>\n",
       "      <td>FV</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>11003</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1443</th>\n",
       "      <td>1444</td>\n",
       "      <td>30</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>8854</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>1445</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>8500</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1445</th>\n",
       "      <td>1446</td>\n",
       "      <td>85</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>8400</td>\n",
       "      <td>Pave</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>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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1446</th>\n",
       "      <td>1447</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.049958</td>\n",
       "      <td>26142</td>\n",
       "      <td>Pave</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>CulDSac</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1447</th>\n",
       "      <td>1448</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>10000</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1448</th>\n",
       "      <td>1449</td>\n",
       "      <td>50</td>\n",
       "      <td>RL</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>11767</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1449</th>\n",
       "      <td>1450</td>\n",
       "      <td>180</td>\n",
       "      <td>RM</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>1533</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1450</th>\n",
       "      <td>1451</td>\n",
       "      <td>90</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>9000</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1451</th>\n",
       "      <td>1452</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>9262</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>New</td>\n",
       "      <td>Partial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1452</th>\n",
       "      <td>1453</td>\n",
       "      <td>180</td>\n",
       "      <td>RM</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>3675</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1453</th>\n",
       "      <td>1454</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>17217</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>1455</td>\n",
       "      <td>20</td>\n",
       "      <td>FV</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>7500</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>1456</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>7917</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>1457</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>13175</td>\n",
       "      <td>Pave</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>1458</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>9042</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>1459</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>9717</td>\n",
       "      <td>Pave</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>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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1459</th>\n",
       "      <td>1460</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>9937</td>\n",
       "      <td>Pave</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</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",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1460 rows × 76 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Id  MSSubClass MSZoning  LotFrontage  LotArea Street LotShape  \\\n",
       "0        1          60       RL         65.0     8450   Pave      Reg   \n",
       "1        2          20       RL         80.0     9600   Pave      Reg   \n",
       "2        3          60       RL         68.0    11250   Pave      IR1   \n",
       "3        4          70       RL         60.0     9550   Pave      IR1   \n",
       "4        5          60       RL         84.0    14260   Pave      IR1   \n",
       "...    ...         ...      ...          ...      ...    ...      ...   \n",
       "1455  1456          60       RL         62.0     7917   Pave      Reg   \n",
       "1456  1457          20       RL         85.0    13175   Pave      Reg   \n",
       "1457  1458          70       RL         66.0     9042   Pave      Reg   \n",
       "1458  1459          20       RL         68.0     9717   Pave      Reg   \n",
       "1459  1460          20       RL         75.0     9937   Pave      Reg   \n",
       "\n",
       "     LandContour Utilities LotConfig  ... OpenPorchSF EnclosedPorch 3SsnPorch  \\\n",
       "0            Lvl    AllPub    Inside  ...          61             0         0   \n",
       "1            Lvl    AllPub       FR2  ...           0             0         0   \n",
       "2            Lvl    AllPub    Inside  ...          42             0         0   \n",
       "3            Lvl    AllPub    Corner  ...          35           272         0   \n",
       "4            Lvl    AllPub       FR2  ...          84             0         0   \n",
       "...          ...       ...       ...  ...         ...           ...       ...   \n",
       "1455         Lvl    AllPub    Inside  ...          40             0         0   \n",
       "1456         Lvl    AllPub    Inside  ...           0             0         0   \n",
       "1457         Lvl    AllPub    Inside  ...          60             0         0   \n",
       "1458         Lvl    AllPub    Inside  ...           0           112         0   \n",
       "1459         Lvl    AllPub    Inside  ...          68             0         0   \n",
       "\n",
       "     ScreenPorch PoolArea MiscVal  MoSold  YrSold  SaleType  SaleCondition  \n",
       "0              0        0       0       2    2008        WD         Normal  \n",
       "1              0        0       0       5    2007        WD         Normal  \n",
       "2              0        0       0       9    2008        WD         Normal  \n",
       "3              0        0       0       2    2006        WD        Abnorml  \n",
       "4              0        0       0      12    2008        WD         Normal  \n",
       "...          ...      ...     ...     ...     ...       ...            ...  \n",
       "1455           0        0       0       8    2007        WD         Normal  \n",
       "1456           0        0       0       2    2010        WD         Normal  \n",
       "1457           0        0    2500       5    2010        WD         Normal  \n",
       "1458           0        0       0       4    2010        WD         Normal  \n",
       "1459           0        0       0       6    2008        WD         Normal  \n",
       "\n",
       "[1460 rows x 76 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fill_missing(train_data,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unique_values(df):\n",
    "    '''This function returns the unique values in a dataframe\n",
    "    input\n",
    "        df = dataframe for which to find the unique values\n",
    "    output\n",
    "        dataframe with the details of each object column, total_unique_count for that column\n",
    "        , total_unique_values_for_that_column, unique_value, unique_value_record_counts.\n",
    "    '''\n",
    "    if(isinstance(df, pd.DataFrame)):\n",
    "        obj,_,_ = datatypes(df)\n",
    "        items = []\n",
    "        for i in obj:\n",
    "            g = df.groupby(df[i])\n",
    "            for ke,val in g.groups.items():\n",
    "                values =[]\n",
    "                values.append(i)\n",
    "                values.append(len(g.groups.keys()))\n",
    "                values.append(g.groups.keys())\n",
    "                values.append(ke)\n",
    "                values.append(len(val))\n",
    "                items.append(values)\n",
    "            q = pd.DataFrame(items,columns=[\"col_name\",\"col_unq_val_count\",\n",
    "                                            \"col_total_unq_val\",\n",
    "                                            \"col_unq_val\",\n",
    "                                            \"unq_val_count\"])\n",
    "        return(q)\n",
    "    else:\n",
    "        print(\"Passed dataframe is not a Dataframe\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total Object Type is 39\n",
      "Total Float or Int is 37\n",
      "Total unknown type is 0\n"
     ]
    }
   ],
   "source": [
    "unq = unique_values(train_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "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>col_name</th>\n",
       "      <th>col_unq_val_count</th>\n",
       "      <th>col_total_unq_val</th>\n",
       "      <th>col_unq_val</th>\n",
       "      <th>unq_val_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Blmngtn</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Blueste</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>BrDale</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>BrkSide</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>ClearCr</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Crawfor</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Edwards</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Gilbert</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>IDOTRR</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>MeadowV</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Mitchel</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>NAmes</td>\n",
       "      <td>225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>NPkVill</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>NWAmes</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>NoRidge</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>NridgHt</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>OldTown</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>SWISU</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Sawyer</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>SawyerW</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Somerst</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>StoneBr</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Timber</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>25</td>\n",
       "      <td>(Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...</td>\n",
       "      <td>Veenker</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>AsbShng</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>AsphShn</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Brk Cmn</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>CmentBd</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>HdBoard</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>ImStucc</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Other</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Plywood</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Stone</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Stucco</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>16</td>\n",
       "      <td>(AsbShng, AsphShn, Brk Cmn, BrkFace, CBlock, C...</td>\n",
       "      <td>Wd Shng</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Exterior1st</td>\n",
       "      <td>15</td>\n",
       "      <td>(AsbShng, AsphShn, BrkComm, BrkFace, CBlock, C...</td>\n",
       "      <td>AsbShng</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LotShape</td>\n",
       "      <td>4</td>\n",
       "      <td>(IR1, IR2, IR3, Reg)</td>\n",
       "      <td>IR2</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>LotShape</td>\n",
       "      <td>4</td>\n",
       "      <td>(IR1, IR2, IR3, Reg)</td>\n",
       "      <td>IR3</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>LotShape</td>\n",
       "      <td>4</td>\n",
       "      <td>(IR1, IR2, IR3, Reg)</td>\n",
       "      <td>Reg</td>\n",
       "      <td>925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>LandContour</td>\n",
       "      <td>4</td>\n",
       "      <td>(Bnk, HLS, Low, Lvl)</td>\n",
       "      <td>Bnk</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>LandContour</td>\n",
       "      <td>4</td>\n",
       "      <td>(Bnk, HLS, Low, Lvl)</td>\n",
       "      <td>HLS</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>LandContour</td>\n",
       "      <td>4</td>\n",
       "      <td>(Bnk, HLS, Low, Lvl)</td>\n",
       "      <td>Low</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>LandContour</td>\n",
       "      <td>4</td>\n",
       "      <td>(Bnk, HLS, Low, Lvl)</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>1311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>KitchenQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Ex</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>KitchenQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Fa</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>KitchenQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Gd</td>\n",
       "      <td>586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>KitchenQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>TA</td>\n",
       "      <td>735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>ExterQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Ex</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>ExterQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Fa</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>ExterQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Gd</td>\n",
       "      <td>488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>ExterQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>TA</td>\n",
       "      <td>906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>BsmtQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Ex</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>BsmtQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Fa</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>BsmtQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>Gd</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>BsmtQual</td>\n",
       "      <td>4</td>\n",
       "      <td>(Ex, Fa, Gd, TA)</td>\n",
       "      <td>TA</td>\n",
       "      <td>686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>BsmtExposure</td>\n",
       "      <td>4</td>\n",
       "      <td>(Av, Gd, Mn, No)</td>\n",
       "      <td>Av</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>BsmtExposure</td>\n",
       "      <td>4</td>\n",
       "      <td>(Av, Gd, Mn, No)</td>\n",
       "      <td>Gd</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>BsmtExposure</td>\n",
       "      <td>4</td>\n",
       "      <td>(Av, Gd, Mn, No)</td>\n",
       "      <td>Mn</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>BsmtExposure</td>\n",
       "      <td>4</td>\n",
       "      <td>(Av, Gd, Mn, No)</td>\n",
       "      <td>No</td>\n",
       "      <td>991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>BsmtCond</td>\n",
       "      <td>4</td>\n",
       "      <td>(Fa, Gd, Po, TA)</td>\n",
       "      <td>Fa</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>BsmtCond</td>\n",
       "      <td>4</td>\n",
       "      <td>(Fa, Gd, Po, TA)</td>\n",
       "      <td>Gd</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>BsmtCond</td>\n",
       "      <td>4</td>\n",
       "      <td>(Fa, Gd, Po, TA)</td>\n",
       "      <td>Po</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>BsmtCond</td>\n",
       "      <td>4</td>\n",
       "      <td>(Fa, Gd, Po, TA)</td>\n",
       "      <td>TA</td>\n",
       "      <td>1348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>PavedDrive</td>\n",
       "      <td>3</td>\n",
       "      <td>(N, P, Y)</td>\n",
       "      <td>N</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>PavedDrive</td>\n",
       "      <td>3</td>\n",
       "      <td>(N, P, Y)</td>\n",
       "      <td>P</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>PavedDrive</td>\n",
       "      <td>3</td>\n",
       "      <td>(N, P, Y)</td>\n",
       "      <td>Y</td>\n",
       "      <td>1340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>LandSlope</td>\n",
       "      <td>3</td>\n",
       "      <td>(Gtl, Mod, Sev)</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>1382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>LandSlope</td>\n",
       "      <td>3</td>\n",
       "      <td>(Gtl, Mod, Sev)</td>\n",
       "      <td>Mod</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>LandSlope</td>\n",
       "      <td>3</td>\n",
       "      <td>(Gtl, Mod, Sev)</td>\n",
       "      <td>Sev</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>GarageFinish</td>\n",
       "      <td>3</td>\n",
       "      <td>(Fin, RFn, Unf)</td>\n",
       "      <td>Fin</td>\n",
       "      <td>352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>GarageFinish</td>\n",
       "      <td>3</td>\n",
       "      <td>(Fin, RFn, Unf)</td>\n",
       "      <td>RFn</td>\n",
       "      <td>422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>GarageFinish</td>\n",
       "      <td>3</td>\n",
       "      <td>(Fin, RFn, Unf)</td>\n",
       "      <td>Unf</td>\n",
       "      <td>686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Utilities</td>\n",
       "      <td>2</td>\n",
       "      <td>(AllPub, NoSeWa)</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Utilities</td>\n",
       "      <td>2</td>\n",
       "      <td>(AllPub, NoSeWa)</td>\n",
       "      <td>NoSeWa</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Street</td>\n",
       "      <td>2</td>\n",
       "      <td>(Grvl, Pave)</td>\n",
       "      <td>Grvl</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Street</td>\n",
       "      <td>2</td>\n",
       "      <td>(Grvl, Pave)</td>\n",
       "      <td>Pave</td>\n",
       "      <td>1454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>CentralAir</td>\n",
       "      <td>2</td>\n",
       "      <td>(N, Y)</td>\n",
       "      <td>N</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>CentralAir</td>\n",
       "      <td>2</td>\n",
       "      <td>(N, Y)</td>\n",
       "      <td>Y</td>\n",
       "      <td>1365</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>239 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         col_name  col_unq_val_count  \\\n",
       "25   Neighborhood                 25   \n",
       "26   Neighborhood                 25   \n",
       "27   Neighborhood                 25   \n",
       "28   Neighborhood                 25   \n",
       "29   Neighborhood                 25   \n",
       "..            ...                ...   \n",
       "16      Utilities                  2   \n",
       "5          Street                  2   \n",
       "6          Street                  2   \n",
       "179    CentralAir                  2   \n",
       "180    CentralAir                  2   \n",
       "\n",
       "                                     col_total_unq_val col_unq_val  \\\n",
       "25   (Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...     Blmngtn   \n",
       "26   (Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...     Blueste   \n",
       "27   (Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...      BrDale   \n",
       "28   (Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...     BrkSide   \n",
       "29   (Blmngtn, Blueste, BrDale, BrkSide, ClearCr, C...     ClearCr   \n",
       "..                                                 ...         ...   \n",
       "16                                    (AllPub, NoSeWa)      NoSeWa   \n",
       "5                                         (Grvl, Pave)        Grvl   \n",
       "6                                         (Grvl, Pave)        Pave   \n",
       "179                                             (N, Y)           N   \n",
       "180                                             (N, Y)           Y   \n",
       "\n",
       "     unq_val_count  \n",
       "25              17  \n",
       "26               2  \n",
       "27              16  \n",
       "28              58  \n",
       "29              28  \n",
       "..             ...  \n",
       "16               1  \n",
       "5                6  \n",
       "6             1454  \n",
       "179             95  \n",
       "180           1365  \n",
       "\n",
       "[239 rows x 5 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unq.sort_values([\"col_unq_val_count\",\"col_name\"],ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape of the data changed from (1460, 76) to (1460, 276)\n"
     ]
    }
   ],
   "source": [
    "train_data_dum = pd.get_dummies(train_data)\n",
    "print(\"shape of the data changed from {} to {}\".format(train_data.shape, train_data_dum.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id               1460\n",
       "LotArea          1073\n",
       "GrLivArea         861\n",
       "BsmtUnfSF         780\n",
       "1stFlrSF          753\n",
       "TotalBsmtSF       721\n",
       "BsmtFinSF1        637\n",
       "GarageArea        441\n",
       "2ndFlrSF          417\n",
       "MasVnrArea        328\n",
       "WoodDeckSF        274\n",
       "OpenPorchSF       202\n",
       "BsmtFinSF2        144\n",
       "EnclosedPorch     120\n",
       "YearBuilt         112\n",
       "LotFrontage       111\n",
       "GarageYrBlt        98\n",
       "ScreenPorch        76\n",
       "YearRemodAdd       61\n",
       "Neighborhood       25\n",
       "LowQualFinSF       24\n",
       "MiscVal            21\n",
       "3SsnPorch          20\n",
       "Exterior2nd        16\n",
       "MSSubClass         15\n",
       "Exterior1st        15\n",
       "TotRmsAbvGrd       12\n",
       "MoSold             12\n",
       "OverallQual        10\n",
       "OverallCond         9\n",
       "SaleType            9\n",
       "Condition1          9\n",
       "RoofMatl            8\n",
       "Condition2          8\n",
       "BedroomAbvGr        8\n",
       "PoolArea            8\n",
       "HouseStyle          8\n",
       "Functional          7\n",
       "RoofStyle           6\n",
       "Foundation          6\n",
       "BsmtFinType1        6\n",
       "BsmtFinType2        6\n",
       "Heating             6\n",
       "GarageType          6\n",
       "SaleCondition       6\n",
       "FireplaceQu         5\n",
       "HeatingQC           5\n",
       "MSZoning            5\n",
       "ExterCond           5\n",
       "GarageCond          5\n",
       "Electrical          5\n",
       "YrSold              5\n",
       "LotConfig           5\n",
       "GarageQual          5\n",
       "GarageCars          5\n",
       "BldgType            5\n",
       "LotShape            4\n",
       "LandContour         4\n",
       "BsmtQual            4\n",
       "BsmtCond            4\n",
       "Fireplaces          4\n",
       "KitchenQual         4\n",
       "KitchenAbvGr        4\n",
       "FullBath            4\n",
       "BsmtFullBath        4\n",
       "MasVnrType          4\n",
       "ExterQual           4\n",
       "BsmtExposure        4\n",
       "GarageFinish        3\n",
       "HalfBath            3\n",
       "LandSlope           3\n",
       "BsmtHalfBath        3\n",
       "PavedDrive          3\n",
       "Utilities           2\n",
       "Street              2\n",
       "CentralAir          2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data.nunique().sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dimension Reduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA, SparsePCA,KernelPCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum_copy = train_data_dum.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pc = PCA(n_components=210)\n",
    "#pc = KernelPCA(n_components=50)\n",
    "#pc = SparsePCA(n_components=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum_copy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum_copy = pc.fit_transform(train_data_dum_copy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum_copy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum_copy[0:1,]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum_copy.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Multicollinearity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.stats.outliers_influence import variance_inflation_factor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'MSSubClass', 'LotFrontage', 'LotArea', 'OverallQual',\n",
       "       'OverallCond', 'YearBuilt', 'YearRemodAdd', 'MasVnrArea', 'BsmtFinSF1',\n",
       "       ...\n",
       "       'SaleType_ConLw', 'SaleType_New', 'SaleType_Oth', 'SaleType_WD',\n",
       "       'SaleCondition_Abnorml', 'SaleCondition_AdjLand',\n",
       "       'SaleCondition_Alloca', 'SaleCondition_Family', 'SaleCondition_Normal',\n",
       "       'SaleCondition_Partial'],\n",
       "      dtype='object', length=276)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data_dum.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\statsmodels\\stats\\outliers_influence.py:185: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  vif = 1. / (1. - r_squared_i)\n"
     ]
    }
   ],
   "source": [
    "vif = pd.DataFrame()\n",
    "vif[\"VIF Factor\"] = [variance_inflation_factor(train_data[nonobj].values, i) for i in range(train_data[nonobj].shape[1])]\n",
    "vif[\"features\"] = train_data[nonobj].columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_dum[\"GrLivArea\"].unique"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_x, test_x, train_y, test_y = train_test_split(\n",
    "    train_data_dum, \n",
    "    response,test_size=0.30, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape for split trainx is (1022, 276) and split testx is (438, 276)\n",
      "shape for split trainy is (1022,) and splity test is (438,)\n"
     ]
    }
   ],
   "source": [
    "print(\"shape for split trainx is {} and split testx is {}\".format(train_x.shape, test_x.shape))\n",
    "print(\"shape for split trainy is {} and splity test is {}\".format(train_y.shape, test_y.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import (LinearRegression, Lasso,Ridge,SGDRegressor\n",
    "                                  ,ElasticNet)\n",
    "from sklearn.metrics import mean_squared_error,r2_score\n",
    "from sklearn.model_selection import GridSearchCV, cross_val_score , KFold\n",
    "import matplotlib as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model_output(mod, tr_x,te_x,tr_y,te_y):\n",
    "    mod.fit(tr_x,tr_y)\n",
    "    pred_test = mod.predict(te_x)\n",
    "    pred_train = mod.predict(tr_x)\n",
    "    error_test = mean_squared_error(te_y,pred_test)\n",
    "    error_train = mean_squared_error(tr_y,pred_train)\n",
    "    r_squared_train = mod.score(tr_x,tr_y)\n",
    "    r_squared_test = mod.score(te_x,te_y)\n",
    "    adj_r_sqr_train = 1 - (1-r_squared_train)*(len(tr_y)-1)/(len(tr_y)-tr_x.shape[1]-1)\n",
    "    adj_r_sqr_test = 1 - (1-r_squared_test)*(len(te_y)-1)/(len(te_y)-tr_x.shape[1]-1)\n",
    "    print(\"Train score is: {}\\ntest score is: {}\".format(r_squared_train,r_squared_test))\n",
    "    print(\"adj r2 train is : {}\\nadj r2 test is : {} \".format(adj_r_sqr_train,adj_r_sqr_test ))\n",
    "    print(\"Train error is:{}\\ntest error is: {}\".format(error_train,error_test))\n",
    "    \n",
    "    \n",
    "    #The top level container for all the plot elements.\n",
    "    fig = plt.pyplot.figure(figsize=(8,10)) # its width and height in the figsize \n",
    "    #Specifies the geometry of the grid that a subplot can be placed in.\n",
    "    grid = plt.gridspec.GridSpec(2,1,figure=fig)\n",
    "    #location on the grid where the plot will visible\n",
    "    ax1 = fig.add_subplot(grid[0, 0])\n",
    "    ax1.set_title('Train Residual Plot')\n",
    "    sns.residplot(tr_y, pred_train)\n",
    "    ax2 = fig.add_subplot(grid[1:, 0])\n",
    "    ax2.set_title('Test Residual Plot')\n",
    "    sns.residplot(te_y,pred_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train score is: 0.9339161552890259\n",
      "test score is: -1.757650782843102e+20\n",
      "adj r2 train is : 0.9094340866444235\n",
      "adj r2 test is : -4.770766410574134e+20 \n",
      "Train error is:397730606.60273975\n",
      "test error is: 1.2265051961667535e+30\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "mod = LinearRegression(normalize=True)\n",
    "model_output(mod, train_x,test_x,train_y,test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = KFold(n_splits=4, shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KFold(n_splits=4, random_state=None, shuffle=True)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mod = SGDRegressor(loss=\"squared_loss\",penalty=\"none\",max_iter=5000,tol= 1e-3,\n",
    "                   random_state=44, learning_rate = \"invscaling\",eta0=.01,alpha=1000\n",
    "                   )\n",
    "model_output(mod, train_x,test_x,train_y,test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mod = Lasso(max_iter=5000, random_state = 40)\n",
    "model_output(mod, train_x,test_x,train_y,test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mod = Ridge(random_state = 40)\n",
    "model_output(mod, train_x,test_x,train_y,test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mod= ElasticNet(random_state = 40,max_iter=6000)\n",
    "model_output(mod, train_x,test_x,train_y,test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor,ExtraTreeRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "#mod = ExtraTreeRegressor(max_depth=7,max_features=\"sqrt\",random_state = 48)\n",
    "#mod = DecisionTreeRegressor(max_depth=8,max_features=\"sqrt\",random_state = 48)\n",
    "mod = RandomForestRegressor(n_estimators=3000,max_depth=3,max_features=\"auto\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_output(mod, train_x,test_x,train_y,test_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data[nonobj].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.cov(train_data[nonobj].values,rowvar = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data.corr().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}