Advance_housing_Data_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option(\"display.max_columns\",None)\n",
    "pd.set_option(\"display.max_rows\",None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>LotConfig</th>\n",
       "      <th>LandSlope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition1</th>\n",
       "      <th>Condition2</th>\n",
       "      <th>BldgType</th>\n",
       "      <th>HouseStyle</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>RoofStyle</th>\n",
       "      <th>RoofMatl</th>\n",
       "      <th>Exterior1st</th>\n",
       "      <th>Exterior2nd</th>\n",
       "      <th>MasVnrType</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>ExterQual</th>\n",
       "      <th>ExterCond</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>BsmtQual</th>\n",
       "      <th>BsmtCond</th>\n",
       "      <th>BsmtExposure</th>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>Heating</th>\n",
       "      <th>HeatingQC</th>\n",
       "      <th>CentralAir</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>KitchenQual</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>FireplaceQu</th>\n",
       "      <th>GarageType</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageFinish</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>GarageCond</th>\n",
       "      <th>PavedDrive</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>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",
       "      <th>SalePrice</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>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>196.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>706</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>856</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>856</td>\n",
       "      <td>854</td>\n",
       "      <td>0</td>\n",
       "      <td>1710</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>8</td>\n",
       "      <td>Typ</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>2</td>\n",
       "      <td>548</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>208500</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>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Veenker</td>\n",
       "      <td>Feedr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>978</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>284</td>\n",
       "      <td>1262</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>1262</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1262</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>6</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>2</td>\n",
       "      <td>460</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>181500</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>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Mn</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>486</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>434</td>\n",
       "      <td>920</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>920</td>\n",
       "      <td>866</td>\n",
       "      <td>0</td>\n",
       "      <td>1786</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>6</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>2</td>\n",
       "      <td>608</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>223500</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>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Crawfor</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>1970</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Wd Shng</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>BrkTil</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>216</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>540</td>\n",
       "      <td>756</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>961</td>\n",
       "      <td>756</td>\n",
       "      <td>0</td>\n",
       "      <td>1717</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>7</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>3</td>\n",
       "      <td>642</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>140000</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>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NoRidge</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Av</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>655</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>490</td>\n",
       "      <td>1145</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>1145</td>\n",
       "      <td>1053</td>\n",
       "      <td>0</td>\n",
       "      <td>2198</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>9</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>3</td>\n",
       "      <td>836</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>192</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\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 LotConfig LandSlope Neighborhood Condition1  \\\n",
       "0         Lvl    AllPub    Inside       Gtl      CollgCr       Norm   \n",
       "1         Lvl    AllPub       FR2       Gtl      Veenker      Feedr   \n",
       "2         Lvl    AllPub    Inside       Gtl      CollgCr       Norm   \n",
       "3         Lvl    AllPub    Corner       Gtl      Crawfor       Norm   \n",
       "4         Lvl    AllPub       FR2       Gtl      NoRidge       Norm   \n",
       "\n",
       "  Condition2 BldgType HouseStyle  OverallQual  OverallCond  YearBuilt  \\\n",
       "0       Norm     1Fam     2Story            7            5       2003   \n",
       "1       Norm     1Fam     1Story            6            8       1976   \n",
       "2       Norm     1Fam     2Story            7            5       2001   \n",
       "3       Norm     1Fam     2Story            7            5       1915   \n",
       "4       Norm     1Fam     2Story            8            5       2000   \n",
       "\n",
       "   YearRemodAdd RoofStyle RoofMatl Exterior1st Exterior2nd MasVnrType  \\\n",
       "0          2003     Gable  CompShg     VinylSd     VinylSd    BrkFace   \n",
       "1          1976     Gable  CompShg     MetalSd     MetalSd       None   \n",
       "2          2002     Gable  CompShg     VinylSd     VinylSd    BrkFace   \n",
       "3          1970     Gable  CompShg     Wd Sdng     Wd Shng       None   \n",
       "4          2000     Gable  CompShg     VinylSd     VinylSd    BrkFace   \n",
       "\n",
       "   MasVnrArea ExterQual ExterCond Foundation BsmtQual BsmtCond BsmtExposure  \\\n",
       "0       196.0        Gd        TA      PConc       Gd       TA           No   \n",
       "1         0.0        TA        TA     CBlock       Gd       TA           Gd   \n",
       "2       162.0        Gd        TA      PConc       Gd       TA           Mn   \n",
       "3         0.0        TA        TA     BrkTil       TA       Gd           No   \n",
       "4       350.0        Gd        TA      PConc       Gd       TA           Av   \n",
       "\n",
       "  BsmtFinType1  BsmtFinSF1 BsmtFinType2  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  \\\n",
       "0          GLQ         706          Unf           0        150          856   \n",
       "1          ALQ         978          Unf           0        284         1262   \n",
       "2          GLQ         486          Unf           0        434          920   \n",
       "3          ALQ         216          Unf           0        540          756   \n",
       "4          GLQ         655          Unf           0        490         1145   \n",
       "\n",
       "  Heating HeatingQC CentralAir Electrical  1stFlrSF  2ndFlrSF  LowQualFinSF  \\\n",
       "0    GasA        Ex          Y      SBrkr       856       854             0   \n",
       "1    GasA        Ex          Y      SBrkr      1262         0             0   \n",
       "2    GasA        Ex          Y      SBrkr       920       866             0   \n",
       "3    GasA        Gd          Y      SBrkr       961       756             0   \n",
       "4    GasA        Ex          Y      SBrkr      1145      1053             0   \n",
       "\n",
       "   GrLivArea  BsmtFullBath  BsmtHalfBath  FullBath  HalfBath  BedroomAbvGr  \\\n",
       "0       1710             1             0         2         1             3   \n",
       "1       1262             0             1         2         0             3   \n",
       "2       1786             1             0         2         1             3   \n",
       "3       1717             1             0         1         0             3   \n",
       "4       2198             1             0         2         1             4   \n",
       "\n",
       "   KitchenAbvGr KitchenQual  TotRmsAbvGrd Functional  Fireplaces FireplaceQu  \\\n",
       "0             1          Gd             8        Typ           0         NaN   \n",
       "1             1          TA             6        Typ           1          TA   \n",
       "2             1          Gd             6        Typ           1          TA   \n",
       "3             1          Gd             7        Typ           1          Gd   \n",
       "4             1          Gd             9        Typ           1          TA   \n",
       "\n",
       "  GarageType  GarageYrBlt GarageFinish  GarageCars  GarageArea GarageQual  \\\n",
       "0     Attchd       2003.0          RFn           2         548         TA   \n",
       "1     Attchd       1976.0          RFn           2         460         TA   \n",
       "2     Attchd       2001.0          RFn           2         608         TA   \n",
       "3     Detchd       1998.0          Unf           3         642         TA   \n",
       "4     Attchd       2000.0          RFn           3         836         TA   \n",
       "\n",
       "  GarageCond PavedDrive  WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  \\\n",
       "0         TA          Y           0           61              0          0   \n",
       "1         TA          Y         298            0              0          0   \n",
       "2         TA          Y           0           42              0          0   \n",
       "3         TA          Y           0           35            272          0   \n",
       "4         TA          Y         192           84              0          0   \n",
       "\n",
       "   ScreenPorch  PoolArea PoolQC Fence MiscFeature  MiscVal  MoSold  YrSold  \\\n",
       "0            0         0    NaN   NaN         NaN        0       2    2008   \n",
       "1            0         0    NaN   NaN         NaN        0       5    2007   \n",
       "2            0         0    NaN   NaN         NaN        0       9    2008   \n",
       "3            0         0    NaN   NaN         NaN        0       2    2006   \n",
       "4            0         0    NaN   NaN         NaN        0      12    2008   \n",
       "\n",
       "  SaleType SaleCondition  SalePrice  \n",
       "0       WD        Normal     208500  \n",
       "1       WD        Normal     181500  \n",
       "2       WD        Normal     223500  \n",
       "3       WD       Abnorml     140000  \n",
       "4       WD        Normal     250000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1460, 81)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1460 entries, 0 to 1459\n",
      "Data columns (total 81 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Id             1460 non-null   int64  \n",
      " 1   MSSubClass     1460 non-null   int64  \n",
      " 2   MSZoning       1460 non-null   object \n",
      " 3   LotFrontage    1201 non-null   float64\n",
      " 4   LotArea        1460 non-null   int64  \n",
      " 5   Street         1460 non-null   object \n",
      " 6   Alley          91 non-null     object \n",
      " 7   LotShape       1460 non-null   object \n",
      " 8   LandContour    1460 non-null   object \n",
      " 9   Utilities      1460 non-null   object \n",
      " 10  LotConfig      1460 non-null   object \n",
      " 11  LandSlope      1460 non-null   object \n",
      " 12  Neighborhood   1460 non-null   object \n",
      " 13  Condition1     1460 non-null   object \n",
      " 14  Condition2     1460 non-null   object \n",
      " 15  BldgType       1460 non-null   object \n",
      " 16  HouseStyle     1460 non-null   object \n",
      " 17  OverallQual    1460 non-null   int64  \n",
      " 18  OverallCond    1460 non-null   int64  \n",
      " 19  YearBuilt      1460 non-null   int64  \n",
      " 20  YearRemodAdd   1460 non-null   int64  \n",
      " 21  RoofStyle      1460 non-null   object \n",
      " 22  RoofMatl       1460 non-null   object \n",
      " 23  Exterior1st    1460 non-null   object \n",
      " 24  Exterior2nd    1460 non-null   object \n",
      " 25  MasVnrType     1452 non-null   object \n",
      " 26  MasVnrArea     1452 non-null   float64\n",
      " 27  ExterQual      1460 non-null   object \n",
      " 28  ExterCond      1460 non-null   object \n",
      " 29  Foundation     1460 non-null   object \n",
      " 30  BsmtQual       1423 non-null   object \n",
      " 31  BsmtCond       1423 non-null   object \n",
      " 32  BsmtExposure   1422 non-null   object \n",
      " 33  BsmtFinType1   1423 non-null   object \n",
      " 34  BsmtFinSF1     1460 non-null   int64  \n",
      " 35  BsmtFinType2   1422 non-null   object \n",
      " 36  BsmtFinSF2     1460 non-null   int64  \n",
      " 37  BsmtUnfSF      1460 non-null   int64  \n",
      " 38  TotalBsmtSF    1460 non-null   int64  \n",
      " 39  Heating        1460 non-null   object \n",
      " 40  HeatingQC      1460 non-null   object \n",
      " 41  CentralAir     1460 non-null   object \n",
      " 42  Electrical     1459 non-null   object \n",
      " 43  1stFlrSF       1460 non-null   int64  \n",
      " 44  2ndFlrSF       1460 non-null   int64  \n",
      " 45  LowQualFinSF   1460 non-null   int64  \n",
      " 46  GrLivArea      1460 non-null   int64  \n",
      " 47  BsmtFullBath   1460 non-null   int64  \n",
      " 48  BsmtHalfBath   1460 non-null   int64  \n",
      " 49  FullBath       1460 non-null   int64  \n",
      " 50  HalfBath       1460 non-null   int64  \n",
      " 51  BedroomAbvGr   1460 non-null   int64  \n",
      " 52  KitchenAbvGr   1460 non-null   int64  \n",
      " 53  KitchenQual    1460 non-null   object \n",
      " 54  TotRmsAbvGrd   1460 non-null   int64  \n",
      " 55  Functional     1460 non-null   object \n",
      " 56  Fireplaces     1460 non-null   int64  \n",
      " 57  FireplaceQu    770 non-null    object \n",
      " 58  GarageType     1379 non-null   object \n",
      " 59  GarageYrBlt    1379 non-null   float64\n",
      " 60  GarageFinish   1379 non-null   object \n",
      " 61  GarageCars     1460 non-null   int64  \n",
      " 62  GarageArea     1460 non-null   int64  \n",
      " 63  GarageQual     1379 non-null   object \n",
      " 64  GarageCond     1379 non-null   object \n",
      " 65  PavedDrive     1460 non-null   object \n",
      " 66  WoodDeckSF     1460 non-null   int64  \n",
      " 67  OpenPorchSF    1460 non-null   int64  \n",
      " 68  EnclosedPorch  1460 non-null   int64  \n",
      " 69  3SsnPorch      1460 non-null   int64  \n",
      " 70  ScreenPorch    1460 non-null   int64  \n",
      " 71  PoolArea       1460 non-null   int64  \n",
      " 72  PoolQC         7 non-null      object \n",
      " 73  Fence          281 non-null    object \n",
      " 74  MiscFeature    54 non-null     object \n",
      " 75  MiscVal        1460 non-null   int64  \n",
      " 76  MoSold         1460 non-null   int64  \n",
      " 77  YrSold         1460 non-null   int64  \n",
      " 78  SaleType       1460 non-null   object \n",
      " 79  SaleCondition  1460 non-null   object \n",
      " 80  SalePrice      1460 non-null   int64  \n",
      "dtypes: float64(3), int64(35), object(43)\n",
      "memory usage: 924.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "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",
       "SalePrice           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "features_with_nan = [features for features in df.columns if df[features].isnull().sum()>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['LotFrontage',\n",
       " 'Alley',\n",
       " 'MasVnrType',\n",
       " 'MasVnrArea',\n",
       " 'BsmtQual',\n",
       " 'BsmtCond',\n",
       " 'BsmtExposure',\n",
       " 'BsmtFinType1',\n",
       " 'BsmtFinType2',\n",
       " 'Electrical',\n",
       " 'FireplaceQu',\n",
       " 'GarageType',\n",
       " 'GarageYrBlt',\n",
       " 'GarageFinish',\n",
       " 'GarageQual',\n",
       " 'GarageCond',\n",
       " 'PoolQC',\n",
       " 'Fence',\n",
       " 'MiscFeature']"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features_with_nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LotFrontage MISSING       259\n",
      "Alley MISSING       1369\n",
      "MasVnrType MISSING       8\n",
      "MasVnrArea MISSING       8\n",
      "BsmtQual MISSING       37\n",
      "BsmtCond MISSING       37\n",
      "BsmtExposure MISSING       38\n",
      "BsmtFinType1 MISSING       37\n",
      "BsmtFinType2 MISSING       38\n",
      "Electrical MISSING       1\n",
      "FireplaceQu MISSING       690\n",
      "GarageType MISSING       81\n",
      "GarageYrBlt MISSING       81\n",
      "GarageFinish MISSING       81\n",
      "GarageQual MISSING       81\n",
      "GarageCond MISSING       81\n",
      "PoolQC MISSING       1453\n",
      "Fence MISSING       1179\n",
      "MiscFeature MISSING       1406\n"
     ]
    }
   ],
   "source": [
    "for features in features_with_nan:\n",
    "    print(features, \"MISSING      \",df[features].isnull().sum() )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop('Id',inplace=True,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>LandSlope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition1</th>\n",
       "      <th>Condition2</th>\n",
       "      <th>BldgType</th>\n",
       "      <th>HouseStyle</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>RoofStyle</th>\n",
       "      <th>RoofMatl</th>\n",
       "      <th>Exterior1st</th>\n",
       "      <th>Exterior2nd</th>\n",
       "      <th>MasVnrType</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>ExterQual</th>\n",
       "      <th>ExterCond</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>BsmtQual</th>\n",
       "      <th>BsmtCond</th>\n",
       "      <th>BsmtExposure</th>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>Heating</th>\n",
       "      <th>HeatingQC</th>\n",
       "      <th>CentralAir</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>KitchenQual</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Functional</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>FireplaceQu</th>\n",
       "      <th>GarageType</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageFinish</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>GarageCond</th>\n",
       "      <th>PavedDrive</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>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",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>196.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>706</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>856</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>856</td>\n",
       "      <td>854</td>\n",
       "      <td>0</td>\n",
       "      <td>1710</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>8</td>\n",
       "      <td>Typ</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>2</td>\n",
       "      <td>548</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Veenker</td>\n",
       "      <td>Feedr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>978</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>284</td>\n",
       "      <td>1262</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>1262</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1262</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>6</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>2</td>\n",
       "      <td>460</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Mn</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>486</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>434</td>\n",
       "      <td>920</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>920</td>\n",
       "      <td>866</td>\n",
       "      <td>0</td>\n",
       "      <td>1786</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>6</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>2</td>\n",
       "      <td>608</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Crawfor</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>1970</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Wd Shng</td>\n",
       "      <td>None</td>\n",
       "      <td>0.0</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>BrkTil</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>216</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>540</td>\n",
       "      <td>756</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>961</td>\n",
       "      <td>756</td>\n",
       "      <td>0</td>\n",
       "      <td>1717</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>7</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>Unf</td>\n",
       "      <td>3</td>\n",
       "      <td>642</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NoRidge</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Av</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>655</td>\n",
       "      <td>Unf</td>\n",
       "      <td>0</td>\n",
       "      <td>490</td>\n",
       "      <td>1145</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>1145</td>\n",
       "      <td>1053</td>\n",
       "      <td>0</td>\n",
       "      <td>2198</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Gd</td>\n",
       "      <td>9</td>\n",
       "      <td>Typ</td>\n",
       "      <td>1</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>RFn</td>\n",
       "      <td>3</td>\n",
       "      <td>836</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>192</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities LotConfig LandSlope Neighborhood Condition1  \\\n",
       "0         Lvl    AllPub    Inside       Gtl      CollgCr       Norm   \n",
       "1         Lvl    AllPub       FR2       Gtl      Veenker      Feedr   \n",
       "2         Lvl    AllPub    Inside       Gtl      CollgCr       Norm   \n",
       "3         Lvl    AllPub    Corner       Gtl      Crawfor       Norm   \n",
       "4         Lvl    AllPub       FR2       Gtl      NoRidge       Norm   \n",
       "\n",
       "  Condition2 BldgType HouseStyle  OverallQual  OverallCond  YearBuilt  \\\n",
       "0       Norm     1Fam     2Story            7            5       2003   \n",
       "1       Norm     1Fam     1Story            6            8       1976   \n",
       "2       Norm     1Fam     2Story            7            5       2001   \n",
       "3       Norm     1Fam     2Story            7            5       1915   \n",
       "4       Norm     1Fam     2Story            8            5       2000   \n",
       "\n",
       "   YearRemodAdd RoofStyle RoofMatl Exterior1st Exterior2nd MasVnrType  \\\n",
       "0          2003     Gable  CompShg     VinylSd     VinylSd    BrkFace   \n",
       "1          1976     Gable  CompShg     MetalSd     MetalSd       None   \n",
       "2          2002     Gable  CompShg     VinylSd     VinylSd    BrkFace   \n",
       "3          1970     Gable  CompShg     Wd Sdng     Wd Shng       None   \n",
       "4          2000     Gable  CompShg     VinylSd     VinylSd    BrkFace   \n",
       "\n",
       "   MasVnrArea ExterQual ExterCond Foundation BsmtQual BsmtCond BsmtExposure  \\\n",
       "0       196.0        Gd        TA      PConc       Gd       TA           No   \n",
       "1         0.0        TA        TA     CBlock       Gd       TA           Gd   \n",
       "2       162.0        Gd        TA      PConc       Gd       TA           Mn   \n",
       "3         0.0        TA        TA     BrkTil       TA       Gd           No   \n",
       "4       350.0        Gd        TA      PConc       Gd       TA           Av   \n",
       "\n",
       "  BsmtFinType1  BsmtFinSF1 BsmtFinType2  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  \\\n",
       "0          GLQ         706          Unf           0        150          856   \n",
       "1          ALQ         978          Unf           0        284         1262   \n",
       "2          GLQ         486          Unf           0        434          920   \n",
       "3          ALQ         216          Unf           0        540          756   \n",
       "4          GLQ         655          Unf           0        490         1145   \n",
       "\n",
       "  Heating HeatingQC CentralAir Electrical  1stFlrSF  2ndFlrSF  LowQualFinSF  \\\n",
       "0    GasA        Ex          Y      SBrkr       856       854             0   \n",
       "1    GasA        Ex          Y      SBrkr      1262         0             0   \n",
       "2    GasA        Ex          Y      SBrkr       920       866             0   \n",
       "3    GasA        Gd          Y      SBrkr       961       756             0   \n",
       "4    GasA        Ex          Y      SBrkr      1145      1053             0   \n",
       "\n",
       "   GrLivArea  BsmtFullBath  BsmtHalfBath  FullBath  HalfBath  BedroomAbvGr  \\\n",
       "0       1710             1             0         2         1             3   \n",
       "1       1262             0             1         2         0             3   \n",
       "2       1786             1             0         2         1             3   \n",
       "3       1717             1             0         1         0             3   \n",
       "4       2198             1             0         2         1             4   \n",
       "\n",
       "   KitchenAbvGr KitchenQual  TotRmsAbvGrd Functional  Fireplaces FireplaceQu  \\\n",
       "0             1          Gd             8        Typ           0         NaN   \n",
       "1             1          TA             6        Typ           1          TA   \n",
       "2             1          Gd             6        Typ           1          TA   \n",
       "3             1          Gd             7        Typ           1          Gd   \n",
       "4             1          Gd             9        Typ           1          TA   \n",
       "\n",
       "  GarageType  GarageYrBlt GarageFinish  GarageCars  GarageArea GarageQual  \\\n",
       "0     Attchd       2003.0          RFn           2         548         TA   \n",
       "1     Attchd       1976.0          RFn           2         460         TA   \n",
       "2     Attchd       2001.0          RFn           2         608         TA   \n",
       "3     Detchd       1998.0          Unf           3         642         TA   \n",
       "4     Attchd       2000.0          RFn           3         836         TA   \n",
       "\n",
       "  GarageCond PavedDrive  WoodDeckSF  OpenPorchSF  EnclosedPorch  3SsnPorch  \\\n",
       "0         TA          Y           0           61              0          0   \n",
       "1         TA          Y         298            0              0          0   \n",
       "2         TA          Y           0           42              0          0   \n",
       "3         TA          Y           0           35            272          0   \n",
       "4         TA          Y         192           84              0          0   \n",
       "\n",
       "   ScreenPorch  PoolArea PoolQC Fence MiscFeature  MiscVal  MoSold  YrSold  \\\n",
       "0            0         0    NaN   NaN         NaN        0       2    2008   \n",
       "1            0         0    NaN   NaN         NaN        0       5    2007   \n",
       "2            0         0    NaN   NaN         NaN        0       9    2008   \n",
       "3            0         0    NaN   NaN         NaN        0       2    2006   \n",
       "4            0         0    NaN   NaN         NaN        0      12    2008   \n",
       "\n",
       "  SaleType SaleCondition  SalePrice  \n",
       "0       WD        Normal     208500  \n",
       "1       WD        Normal     181500  \n",
       "2       WD        Normal     223500  \n",
       "3       WD       Abnorml     140000  \n",
       "4       WD        Normal     250000  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features length 37\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
       "      <th>YearRemodAdd</th>\n",
       "      <th>MasVnrArea</th>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <th>1stFlrSF</th>\n",
       "      <th>2ndFlrSF</th>\n",
       "      <th>LowQualFinSF</th>\n",
       "      <th>GrLivArea</th>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <th>FullBath</th>\n",
       "      <th>HalfBath</th>\n",
       "      <th>BedroomAbvGr</th>\n",
       "      <th>KitchenAbvGr</th>\n",
       "      <th>TotRmsAbvGrd</th>\n",
       "      <th>Fireplaces</th>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <th>GarageCars</th>\n",
       "      <th>GarageArea</th>\n",
       "      <th>WoodDeckSF</th>\n",
       "      <th>OpenPorchSF</th>\n",
       "      <th>EnclosedPorch</th>\n",
       "      <th>3SsnPorch</th>\n",
       "      <th>ScreenPorch</th>\n",
       "      <th>PoolArea</th>\n",
       "      <th>MiscVal</th>\n",
       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>60</td>\n",
       "      <td>65.0</td>\n",
       "      <td>8450</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2003</td>\n",
       "      <td>2003</td>\n",
       "      <td>196.0</td>\n",
       "      <td>706</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>856</td>\n",
       "      <td>856</td>\n",
       "      <td>854</td>\n",
       "      <td>0</td>\n",
       "      <td>1710</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>2</td>\n",
       "      <td>548</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>208500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>80.0</td>\n",
       "      <td>9600</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>1976</td>\n",
       "      <td>1976</td>\n",
       "      <td>0.0</td>\n",
       "      <td>978</td>\n",
       "      <td>0</td>\n",
       "      <td>284</td>\n",
       "      <td>1262</td>\n",
       "      <td>1262</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1262</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>2</td>\n",
       "      <td>460</td>\n",
       "      <td>298</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>60</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11250</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2001</td>\n",
       "      <td>2002</td>\n",
       "      <td>162.0</td>\n",
       "      <td>486</td>\n",
       "      <td>0</td>\n",
       "      <td>434</td>\n",
       "      <td>920</td>\n",
       "      <td>920</td>\n",
       "      <td>866</td>\n",
       "      <td>0</td>\n",
       "      <td>1786</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>2</td>\n",
       "      <td>608</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>1915</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.0</td>\n",
       "      <td>216</td>\n",
       "      <td>0</td>\n",
       "      <td>540</td>\n",
       "      <td>756</td>\n",
       "      <td>961</td>\n",
       "      <td>756</td>\n",
       "      <td>0</td>\n",
       "      <td>1717</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>3</td>\n",
       "      <td>642</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>84.0</td>\n",
       "      <td>14260</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>350.0</td>\n",
       "      <td>655</td>\n",
       "      <td>0</td>\n",
       "      <td>490</td>\n",
       "      <td>1145</td>\n",
       "      <td>1145</td>\n",
       "      <td>1053</td>\n",
       "      <td>0</td>\n",
       "      <td>2198</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>836</td>\n",
       "      <td>192</td>\n",
       "      <td>84</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   MSSubClass  LotFrontage  LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0          60         65.0     8450            7            5       2003   \n",
       "1          20         80.0     9600            6            8       1976   \n",
       "2          60         68.0    11250            7            5       2001   \n",
       "3          70         60.0     9550            7            5       1915   \n",
       "4          60         84.0    14260            8            5       2000   \n",
       "\n",
       "   YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  TotalBsmtSF  \\\n",
       "0          2003       196.0         706           0        150          856   \n",
       "1          1976         0.0         978           0        284         1262   \n",
       "2          2002       162.0         486           0        434          920   \n",
       "3          1970         0.0         216           0        540          756   \n",
       "4          2000       350.0         655           0        490         1145   \n",
       "\n",
       "   1stFlrSF  2ndFlrSF  LowQualFinSF  GrLivArea  BsmtFullBath  BsmtHalfBath  \\\n",
       "0       856       854             0       1710             1             0   \n",
       "1      1262         0             0       1262             0             1   \n",
       "2       920       866             0       1786             1             0   \n",
       "3       961       756             0       1717             1             0   \n",
       "4      1145      1053             0       2198             1             0   \n",
       "\n",
       "   FullBath  HalfBath  BedroomAbvGr  KitchenAbvGr  TotRmsAbvGrd  Fireplaces  \\\n",
       "0         2         1             3             1             8           0   \n",
       "1         2         0             3             1             6           1   \n",
       "2         2         1             3             1             6           1   \n",
       "3         1         0             3             1             7           1   \n",
       "4         2         1             4             1             9           1   \n",
       "\n",
       "   GarageYrBlt  GarageCars  GarageArea  WoodDeckSF  OpenPorchSF  \\\n",
       "0       2003.0           2         548           0           61   \n",
       "1       1976.0           2         460         298            0   \n",
       "2       2001.0           2         608           0           42   \n",
       "3       1998.0           3         642           0           35   \n",
       "4       2000.0           3         836         192           84   \n",
       "\n",
       "   EnclosedPorch  3SsnPorch  ScreenPorch  PoolArea  MiscVal  MoSold  YrSold  \\\n",
       "0              0          0            0         0        0       2    2008   \n",
       "1              0          0            0         0        0       5    2007   \n",
       "2              0          0            0         0        0       9    2008   \n",
       "3            272          0            0         0        0       2    2006   \n",
       "4              0          0            0         0        0      12    2008   \n",
       "\n",
       "   SalePrice  \n",
       "0     208500  \n",
       "1     181500  \n",
       "2     223500  \n",
       "3     140000  \n",
       "4     250000  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_features = [features for features in df.columns if df[features].dtypes !='O']\n",
    "print('Features length',len(num_features))\n",
    "df[num_features].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features length 43\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>MSZoning</th>\n",
       "      <th>Street</th>\n",
       "      <th>Alley</th>\n",
       "      <th>LotShape</th>\n",
       "      <th>LandContour</th>\n",
       "      <th>Utilities</th>\n",
       "      <th>LotConfig</th>\n",
       "      <th>LandSlope</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Condition1</th>\n",
       "      <th>Condition2</th>\n",
       "      <th>BldgType</th>\n",
       "      <th>HouseStyle</th>\n",
       "      <th>RoofStyle</th>\n",
       "      <th>RoofMatl</th>\n",
       "      <th>Exterior1st</th>\n",
       "      <th>Exterior2nd</th>\n",
       "      <th>MasVnrType</th>\n",
       "      <th>ExterQual</th>\n",
       "      <th>ExterCond</th>\n",
       "      <th>Foundation</th>\n",
       "      <th>BsmtQual</th>\n",
       "      <th>BsmtCond</th>\n",
       "      <th>BsmtExposure</th>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <th>Heating</th>\n",
       "      <th>HeatingQC</th>\n",
       "      <th>CentralAir</th>\n",
       "      <th>Electrical</th>\n",
       "      <th>KitchenQual</th>\n",
       "      <th>Functional</th>\n",
       "      <th>FireplaceQu</th>\n",
       "      <th>GarageType</th>\n",
       "      <th>GarageFinish</th>\n",
       "      <th>GarageQual</th>\n",
       "      <th>GarageCond</th>\n",
       "      <th>PavedDrive</th>\n",
       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
       "      <th>MiscFeature</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>No</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Veenker</td>\n",
       "      <td>Feedr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>1Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>MetalSd</td>\n",
       "      <td>None</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>CBlock</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>TA</td>\n",
       "      <td>Typ</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>CollgCr</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Mn</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Corner</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>Crawfor</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>Wd Sdng</td>\n",
       "      <td>Wd Shng</td>\n",
       "      <td>None</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>BrkTil</td>\n",
       "      <td>TA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>No</td>\n",
       "      <td>ALQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Detchd</td>\n",
       "      <td>Unf</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RL</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>Gtl</td>\n",
       "      <td>NoRidge</td>\n",
       "      <td>Norm</td>\n",
       "      <td>Norm</td>\n",
       "      <td>1Fam</td>\n",
       "      <td>2Story</td>\n",
       "      <td>Gable</td>\n",
       "      <td>CompShg</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>VinylSd</td>\n",
       "      <td>BrkFace</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>PConc</td>\n",
       "      <td>Gd</td>\n",
       "      <td>TA</td>\n",
       "      <td>Av</td>\n",
       "      <td>GLQ</td>\n",
       "      <td>Unf</td>\n",
       "      <td>GasA</td>\n",
       "      <td>Ex</td>\n",
       "      <td>Y</td>\n",
       "      <td>SBrkr</td>\n",
       "      <td>Gd</td>\n",
       "      <td>Typ</td>\n",
       "      <td>TA</td>\n",
       "      <td>Attchd</td>\n",
       "      <td>RFn</td>\n",
       "      <td>TA</td>\n",
       "      <td>TA</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  MSZoning Street Alley LotShape LandContour Utilities LotConfig LandSlope  \\\n",
       "0       RL   Pave   NaN      Reg         Lvl    AllPub    Inside       Gtl   \n",
       "1       RL   Pave   NaN      Reg         Lvl    AllPub       FR2       Gtl   \n",
       "2       RL   Pave   NaN      IR1         Lvl    AllPub    Inside       Gtl   \n",
       "3       RL   Pave   NaN      IR1         Lvl    AllPub    Corner       Gtl   \n",
       "4       RL   Pave   NaN      IR1         Lvl    AllPub       FR2       Gtl   \n",
       "\n",
       "  Neighborhood Condition1 Condition2 BldgType HouseStyle RoofStyle RoofMatl  \\\n",
       "0      CollgCr       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "1      Veenker      Feedr       Norm     1Fam     1Story     Gable  CompShg   \n",
       "2      CollgCr       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "3      Crawfor       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "4      NoRidge       Norm       Norm     1Fam     2Story     Gable  CompShg   \n",
       "\n",
       "  Exterior1st Exterior2nd MasVnrType ExterQual ExterCond Foundation BsmtQual  \\\n",
       "0     VinylSd     VinylSd    BrkFace        Gd        TA      PConc       Gd   \n",
       "1     MetalSd     MetalSd       None        TA        TA     CBlock       Gd   \n",
       "2     VinylSd     VinylSd    BrkFace        Gd        TA      PConc       Gd   \n",
       "3     Wd Sdng     Wd Shng       None        TA        TA     BrkTil       TA   \n",
       "4     VinylSd     VinylSd    BrkFace        Gd        TA      PConc       Gd   \n",
       "\n",
       "  BsmtCond BsmtExposure BsmtFinType1 BsmtFinType2 Heating HeatingQC  \\\n",
       "0       TA           No          GLQ          Unf    GasA        Ex   \n",
       "1       TA           Gd          ALQ          Unf    GasA        Ex   \n",
       "2       TA           Mn          GLQ          Unf    GasA        Ex   \n",
       "3       Gd           No          ALQ          Unf    GasA        Gd   \n",
       "4       TA           Av          GLQ          Unf    GasA        Ex   \n",
       "\n",
       "  CentralAir Electrical KitchenQual Functional FireplaceQu GarageType  \\\n",
       "0          Y      SBrkr          Gd        Typ         NaN     Attchd   \n",
       "1          Y      SBrkr          TA        Typ          TA     Attchd   \n",
       "2          Y      SBrkr          Gd        Typ          TA     Attchd   \n",
       "3          Y      SBrkr          Gd        Typ          Gd     Detchd   \n",
       "4          Y      SBrkr          Gd        Typ          TA     Attchd   \n",
       "\n",
       "  GarageFinish GarageQual GarageCond PavedDrive PoolQC Fence MiscFeature  \\\n",
       "0          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "1          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "2          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "3          Unf         TA         TA          Y    NaN   NaN         NaN   \n",
       "4          RFn         TA         TA          Y    NaN   NaN         NaN   \n",
       "\n",
       "  SaleType SaleCondition  \n",
       "0       WD        Normal  \n",
       "1       WD        Normal  \n",
       "2       WD        Normal  \n",
       "3       WD       Abnorml  \n",
       "4       WD        Normal  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_features = [features for features in df.columns if df[features].dtypes =='O']\n",
    "print('Features length',len(cat_features))\n",
    "df[cat_features].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['YearBuilt', 'YearRemodAdd', 'GarageYrBlt', 'YrSold']"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_features = [feature for feature in num_features if 'Yr' in feature or 'Year' in feature]\n",
    "year_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'House price vs YrSold')"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"YrSold\")['SalePrice'].median().plot()\n",
    "plt.title(f'House price vs YrSold')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'House price vs YearBuilt')"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"YearBuilt\")['SalePrice'].median().plot()\n",
    "plt.title(f'House price vs YearBuilt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'House price vs YearRemodAdd')"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"YearRemodAdd\")['SalePrice'].median().plot()\n",
    "plt.title(f'House price vs YearRemodAdd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'House price vs GarageYrBlt')"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"GarageYrBlt\")['SalePrice'].median().plot()\n",
    "plt.title(f'House price vs GarageYrBlt')"
   ]
  },
  {
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}