Housing_Price_Predication_Project_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3f05aaa7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import chardet#for encoding\n",
    "import warnings# to avoid the warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "pd.pandas.set_option('display.max_columns',0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "77736a94",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'encoding': 'GB2312', 'confidence': 0.99, 'language': 'Chinese'}\n"
     ]
    }
   ],
   "source": [
    "#Let's see which encoding we have to apply.\n",
    "with open(\"new.csv\",\"rb\") as f:\n",
    "    result=chardet.detect(f.read(100000))\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c4bc6e5",
   "metadata": {},
   "source": [
    "## About The Data Set \n",
    "url: the url which fetches the data\n",
    "\n",
    "id: the id of transaction\n",
    "\n",
    "Lng: and Lat coordinates, using the BD09 protocol.\n",
    "\n",
    "Cid: community id\n",
    "\n",
    "tradeTime: the time of transaction\n",
    "\n",
    "DOM: active days on market.\n",
    "\n",
    "followers: the number of people follow the transaction.\n",
    "\n",
    "totalPrice: the total price\n",
    "\n",
    "price: the average price by square\n",
    "\n",
    "square: the square of house\n",
    "\n",
    "livingRoom: the number of living room\n",
    "\n",
    "drawingRoom: the number of drawing room\n",
    "\n",
    "kitchen: the number of kitchen\n",
    "\n",
    "bathroom the number of bathroom\n",
    "\n",
    "floor: the height of the house.\n",
    "\n",
    "buildingType: including tower( 1 ) , bungalow( 2 )，combination of plate and tower( 3 ), plate( 4 ).\n",
    "\n",
    "constructionTime: the time of construction\n",
    "\n",
    "renovationCondition: including other( 1 ), rough( 2 ),Simplicity( 3 ), hardcover( 4 )\n",
    "\n",
    "buildingStructure: including unknow( 1 ), mixed( 2 ), brick and wood( 3 ), brick and concrete( 4 ),steel( 5 ) and steel-concrete composite ( 6 ).\n",
    "\n",
    "ladderRatio: the proportion between number of residents on the same floor and number of elevator of ladder. It describes how many ladders a resident have on average.\n",
    "\n",
    "elevator: elevator have ( 1 ) or not have elevator( 0 )\n",
    "\n",
    "fiveYearsProperty: if the owner have the property for less than 5 years,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "af3bf488",
   "metadata": {},
   "outputs": [],
   "source": [
    "#so,we have to apply GB2312 encoding.\n",
    "data=pd.read_csv(\"new.csv\",encoding=\"GB2312\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "964d9bc5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
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       "    }\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>url</th>\n",
       "      <th>id</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Cid</th>\n",
       "      <th>tradeTime</th>\n",
       "      <th>DOM</th>\n",
       "      <th>followers</th>\n",
       "      <th>totalPrice</th>\n",
       "      <th>price</th>\n",
       "      <th>square</th>\n",
       "      <th>livingRoom</th>\n",
       "      <th>drawingRoom</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>bathRoom</th>\n",
       "      <th>floor</th>\n",
       "      <th>buildingType</th>\n",
       "      <th>constructionTime</th>\n",
       "      <th>renovationCondition</th>\n",
       "      <th>buildingStructure</th>\n",
       "      <th>ladderRatio</th>\n",
       "      <th>elevator</th>\n",
       "      <th>fiveYearsProperty</th>\n",
       "      <th>subway</th>\n",
       "      <th>district</th>\n",
       "      <th>communityAverage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101084782030....</td>\n",
       "      <td>101084782030</td>\n",
       "      <td>116.475489</td>\n",
       "      <td>40.019520</td>\n",
       "      <td>1111027376244</td>\n",
       "      <td>2016-08-09</td>\n",
       "      <td>1464.0</td>\n",
       "      <td>106</td>\n",
       "      <td>415.0</td>\n",
       "      <td>31680</td>\n",
       "      <td>131.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>高 26</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.217</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>56021.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086012217....</td>\n",
       "      <td>101086012217</td>\n",
       "      <td>116.453917</td>\n",
       "      <td>39.881534</td>\n",
       "      <td>1111027381879</td>\n",
       "      <td>2016-07-28</td>\n",
       "      <td>903.0</td>\n",
       "      <td>126</td>\n",
       "      <td>575.0</td>\n",
       "      <td>43436</td>\n",
       "      <td>132.38</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>高 22</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>71539.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086041636....</td>\n",
       "      <td>101086041636</td>\n",
       "      <td>116.561978</td>\n",
       "      <td>39.877145</td>\n",
       "      <td>1111040862969</td>\n",
       "      <td>2016-12-11</td>\n",
       "      <td>1271.0</td>\n",
       "      <td>48</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>52021</td>\n",
       "      <td>198.00</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>中 4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>48160.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086406841....</td>\n",
       "      <td>101086406841</td>\n",
       "      <td>116.438010</td>\n",
       "      <td>40.076114</td>\n",
       "      <td>1111043185817</td>\n",
       "      <td>2016-09-30</td>\n",
       "      <td>965.0</td>\n",
       "      <td>138</td>\n",
       "      <td>297.5</td>\n",
       "      <td>22202</td>\n",
       "      <td>134.00</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>底 21</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.273</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>51238.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086920653....</td>\n",
       "      <td>101086920653</td>\n",
       "      <td>116.428392</td>\n",
       "      <td>39.886229</td>\n",
       "      <td>1111027381174</td>\n",
       "      <td>2016-08-28</td>\n",
       "      <td>927.0</td>\n",
       "      <td>286</td>\n",
       "      <td>392.0</td>\n",
       "      <td>48396</td>\n",
       "      <td>81.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>中 6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1960</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>62588.0</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "                                                 url  ... communityAverage\n",
       "0  https://bj.lianjia.com/chengjiao/101084782030....  ...          56021.0\n",
       "1  https://bj.lianjia.com/chengjiao/101086012217....  ...          71539.0\n",
       "2  https://bj.lianjia.com/chengjiao/101086041636....  ...          48160.0\n",
       "3  https://bj.lianjia.com/chengjiao/101086406841....  ...          51238.0\n",
       "4  https://bj.lianjia.com/chengjiao/101086920653....  ...          62588.0\n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "808de280",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(318851, 26)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2f5e0b6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df0=data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "defb8e61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['url', 'id', 'Lng', 'Lat', 'Cid', 'tradeTime', 'DOM', 'followers',\n",
       "       'totalPrice', 'price', 'square', 'livingRoom', 'drawingRoom', 'kitchen',\n",
       "       'bathRoom', 'floor', 'buildingType', 'constructionTime',\n",
       "       'renovationCondition', 'buildingStructure', 'ladderRatio', 'elevator',\n",
       "       'fiveYearsProperty', 'subway', 'district', 'communityAverage'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4e58428e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 318851 entries, 0 to 318850\n",
      "Data columns (total 26 columns):\n",
      " #   Column               Non-Null Count   Dtype  \n",
      "---  ------               --------------   -----  \n",
      " 0   url                  318851 non-null  object \n",
      " 1   id                   318851 non-null  object \n",
      " 2   Lng                  318851 non-null  float64\n",
      " 3   Lat                  318851 non-null  float64\n",
      " 4   Cid                  318851 non-null  int64  \n",
      " 5   tradeTime            318851 non-null  object \n",
      " 6   DOM                  160874 non-null  float64\n",
      " 7   followers            318851 non-null  int64  \n",
      " 8   totalPrice           318851 non-null  float64\n",
      " 9   price                318851 non-null  int64  \n",
      " 10  square               318851 non-null  float64\n",
      " 11  livingRoom           318851 non-null  object \n",
      " 12  drawingRoom          318851 non-null  object \n",
      " 13  kitchen              318851 non-null  int64  \n",
      " 14  bathRoom             318851 non-null  object \n",
      " 15  floor                318851 non-null  object \n",
      " 16  buildingType         316830 non-null  float64\n",
      " 17  constructionTime     318851 non-null  object \n",
      " 18  renovationCondition  318851 non-null  int64  \n",
      " 19  buildingStructure    318851 non-null  int64  \n",
      " 20  ladderRatio          318851 non-null  float64\n",
      " 21  elevator             318819 non-null  float64\n",
      " 22  fiveYearsProperty    318819 non-null  float64\n",
      " 23  subway               318819 non-null  float64\n",
      " 24  district             318851 non-null  int64  \n",
      " 25  communityAverage     318388 non-null  float64\n",
      "dtypes: float64(11), int64(7), object(8)\n",
      "memory usage: 63.2+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "39ce8c82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                         0\n",
       "id                          0\n",
       "Lng                         0\n",
       "Lat                         0\n",
       "Cid                         0\n",
       "tradeTime                   0\n",
       "DOM                    157977\n",
       "followers                   0\n",
       "totalPrice                  0\n",
       "price                       0\n",
       "square                      0\n",
       "livingRoom                  0\n",
       "drawingRoom                 0\n",
       "kitchen                     0\n",
       "bathRoom                    0\n",
       "floor                       0\n",
       "buildingType             2021\n",
       "constructionTime            0\n",
       "renovationCondition         0\n",
       "buildingStructure           0\n",
       "ladderRatio                 0\n",
       "elevator                   32\n",
       "fiveYearsProperty          32\n",
       "subway                     32\n",
       "district                    0\n",
       "communityAverage          463\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7a4c831",
   "metadata": {},
   "source": [
    "\"DOM\" Have almost 50% missing data.so, we can remove that columns.\n",
    "\n",
    "buildingType  --->Missing Value ---->2021\n",
    "\n",
    "elevator----->Missing Value --->32\n",
    "\n",
    "fiveYearsProperty ---->Missing Value --->32\n",
    "\n",
    "Subway --->Missing Value ---->32\n",
    "\n",
    "communityAverage --->Missing Value --->32"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9280b10e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "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": [
    "#Let's Visualize the missing value\n",
    "sns.heatmap(data.isnull(),yticklabels=False,cbar=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27da79ab",
   "metadata": {},
   "source": [
    "It's Clearly visible DOM have almost half value are missing and building type also have some missing value. so,for DOM columns it's better to drop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "578383a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Drop 'DOM' Columns\n",
    "data.drop(columns=['DOM'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5694fdbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(318851, 25)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "feb2e359",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "url                       0\n",
       "id                        0\n",
       "Lng                       0\n",
       "Lat                       0\n",
       "Cid                       0\n",
       "tradeTime                 0\n",
       "followers                 0\n",
       "totalPrice                0\n",
       "price                     0\n",
       "square                    0\n",
       "livingRoom                0\n",
       "drawingRoom               0\n",
       "kitchen                   0\n",
       "bathRoom                  0\n",
       "floor                     0\n",
       "buildingType           2021\n",
       "constructionTime          0\n",
       "renovationCondition       0\n",
       "buildingStructure         0\n",
       "ladderRatio               0\n",
       "elevator                 32\n",
       "fiveYearsProperty        32\n",
       "subway                   32\n",
       "district                  0\n",
       "communityAverage        463\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7dfecd6",
   "metadata": {},
   "source": [
    "Replacing Our missing Data with Median Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "78b07ab3",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['buildingType'].fillna(data.buildingType.mode(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bbfbd04b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.elevator.fillna(data.elevator.mode(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "914d482b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.fiveYearsProperty.fillna(data.fiveYearsProperty.mode(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "466e0683",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.subway.fillna(data.subway.median(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "822c6faa",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.communityAverage.fillna(data.communityAverage.median(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "413270a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3, 1, 4, 5, 6, 9, 0, 7, 8, '1', '4', '3', '2', '5', '7', '9',\n",
       "       '6', '0', '#NAME?', '8'], dtype=object)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.livingRoom.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a4f00ec3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['高 26', '高 22', '中 4', '底 21', '中 6', '中 8', '高 6', '高 10', '中 23',\n",
       "       '底 11', '底 3', '高 24', '低 23', '中 19', '高 18', '低 25', '中 12',\n",
       "       '中 14', '中 30', '中 27', '中 5', '低 18', '底 28', '中 11', '低 9',\n",
       "       '顶 7', '顶 27', '低 6', '中 17', '顶 6', '中 24', '中 15', '底 5', '中 29',\n",
       "       '顶 19', '顶 5', '中 9', '低 22', '顶 18', '低 16', '高 13', '高 9',\n",
       "       '高 17', '底 6', '中 28', '低 26', '底 15', '高 16', '底 2', '低 7',\n",
       "       '中 13', '低 33', '底 14', '高 15', '底 4', '顶 11', '中 32', '顶 16',\n",
       "       '底 18', '顶 17', '低 14', '低 10', '底 20', '高 12', '低 31', '低 30',\n",
       "       '低 19', '低 12', '中 10', '中 16', '顶 20', '底 19', '中 31', '低 13',\n",
       "       '底 10', '高 25', '中 21', '中 20', '高 20', '低 21', '低 24', '顶 4',\n",
       "       '高 21', '高 7', '中 22', '底 1', '中 7', '底 8', '顶 15', '中 18', '高 28',\n",
       "       '顶 14', '顶 13', '低 20', '底 26', '低 17', '顶 24', '底 23', '顶 3',\n",
       "       '顶 21', '底 24', '高 30', '高 11', '底 25', '高 27', '底 9', '低 11',\n",
       "       '低 28', '低 15', '顶 26', '低 34', '顶 12', '中 25', '高 8', '底 17',\n",
       "       '高 32', '高 19', '底 7', '顶 28', '顶 9', '高 31', '中 26', '顶 2', '顶 8',\n",
       "       '底 32', '中 42', '底 30', '低 32', '底 16', '低 3', '底 22', '高 14',\n",
       "       '高 23', '底 27', '底 13', '低 27', '顶 23', '低 29', '顶 22', '高 29',\n",
       "       '中 34', '顶 25', '高 34', '顶 10', '低 37', '底 12', '未知 6', '顶 32',\n",
       "       '低 42', '顶 30', '底 33', '高 42', '低 8', '高 33', '中 33', '顶 29',\n",
       "       '底 29', '未知 15', '高 37', '低 36', '低 35', '顶 34', '高 36', '中 37',\n",
       "       '中 35', '底 31', '未知 12', '顶 31', '低 63', '未知 21', '底 34', '中 57',\n",
       "       '顶 33', '钢混结构', '混合结构', '未知 11', '未知 7', '未知 10', '未知 18', '未知 8',\n",
       "       '未知 14', '未知 4', '未知 5', '未知 3', '未知 27', '未知 25', '未知 20',\n",
       "       '未知 26', '未知 9', '未知 22', '未知 23', '未知 16', '未知 19', '未知 28',\n",
       "       '中 36', '未知 17', '未知 13', '低 2', '未知 29', '未知 24', '未知 30',\n",
       "       '未知 31', '低 5'], dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.floor.unique()\n",
    "#so,floor have a chinese character..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "014175d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 0, 4, 5, 6, 7, 2006, 2003, 1990, 2000, 1996, 2005, 2011,\n",
       "       '1', '2', '0', '3', '4', '5', '未知', 1994, 2004, '2003', '7'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.bathRoom.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "885847bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 0, 4, 3, 5, '0', '1', '2', '3', '4', '中 14', '中 15', '中 16',\n",
       "       '中 6', '高 14', '顶 6', '低 6', '低 16', '高 12', '低 15', '5', '高 6',\n",
       "       '底 28', '底 11', '中 24', '底 20', '中 22'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drawingRoom.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "77d4f56c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>id</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Cid</th>\n",
       "      <th>tradeTime</th>\n",
       "      <th>followers</th>\n",
       "      <th>totalPrice</th>\n",
       "      <th>price</th>\n",
       "      <th>square</th>\n",
       "      <th>livingRoom</th>\n",
       "      <th>drawingRoom</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>bathRoom</th>\n",
       "      <th>floor</th>\n",
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       "      <th>constructionTime</th>\n",
       "      <th>renovationCondition</th>\n",
       "      <th>buildingStructure</th>\n",
       "      <th>ladderRatio</th>\n",
       "      <th>elevator</th>\n",
       "      <th>fiveYearsProperty</th>\n",
       "      <th>subway</th>\n",
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       "      <th>communityAverage</th>\n",
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       "      <th>0</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101084782030....</td>\n",
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       "      <td>40.019520</td>\n",
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       "      <td>2016</td>\n",
       "      <td>106</td>\n",
       "      <td>415.0</td>\n",
       "      <td>31680</td>\n",
       "      <td>131.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>高 26</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.217</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>56021.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086012217....</td>\n",
       "      <td>101086012217</td>\n",
       "      <td>116.453917</td>\n",
       "      <td>39.881534</td>\n",
       "      <td>1111027381879</td>\n",
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       "      <td>126</td>\n",
       "      <td>575.0</td>\n",
       "      <td>43436</td>\n",
       "      <td>132.38</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>高 22</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>71539.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086041636....</td>\n",
       "      <td>101086041636</td>\n",
       "      <td>116.561978</td>\n",
       "      <td>39.877145</td>\n",
       "      <td>1111040862969</td>\n",
       "      <td>2016</td>\n",
       "      <td>48</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>52021</td>\n",
       "      <td>198.00</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>中 4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2005</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>48160.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086406841....</td>\n",
       "      <td>101086406841</td>\n",
       "      <td>116.438010</td>\n",
       "      <td>40.076114</td>\n",
       "      <td>1111043185817</td>\n",
       "      <td>2016</td>\n",
       "      <td>138</td>\n",
       "      <td>297.5</td>\n",
       "      <td>22202</td>\n",
       "      <td>134.00</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>底 21</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.273</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>51238.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://bj.lianjia.com/chengjiao/101086920653....</td>\n",
       "      <td>101086920653</td>\n",
       "      <td>116.428392</td>\n",
       "      <td>39.886229</td>\n",
       "      <td>1111027381174</td>\n",
       "      <td>2016</td>\n",
       "      <td>286</td>\n",
       "      <td>392.0</td>\n",
       "      <td>48396</td>\n",
       "      <td>81.00</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>中 6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1960</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>62588.0</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                                                 url  ... communityAverage\n",
       "0  https://bj.lianjia.com/chengjiao/101084782030....  ...          56021.0\n",
       "1  https://bj.lianjia.com/chengjiao/101086012217....  ...          71539.0\n",
       "2  https://bj.lianjia.com/chengjiao/101086041636....  ...          48160.0\n",
       "3  https://bj.lianjia.com/chengjiao/101086406841....  ...          51238.0\n",
       "4  https://bj.lianjia.com/chengjiao/101086920653....  ...          62588.0\n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def Trade_Time(x):\n",
    "    return x[0:4]\n",
    "data['tradeTime']=data['tradeTime'].apply(Trade_Time)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b9991bb",
   "metadata": {},
   "source": [
    "### Handling these Column in right Data Type "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "137f3794",
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert tradetime into int numeric\n",
    "data['tradeTime'] = pd.to_numeric(data['tradeTime'])\n",
    "data['livingRoom'] = data['livingRoom'].apply(pd.to_numeric, errors='coerce')\n",
    "data['drawingRoom'] = data['drawingRoom'].apply(pd.to_numeric, errors='coerce')\n",
    "data['bathRoom'] = data['bathRoom'].apply(pd.to_numeric, errors='coerce')\n",
    "#convert ConstructionTime into int numeric\n",
    "data['constructionTime'] = data['constructionTime'].apply(pd.to_numeric, errors='coerce')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba95662b",
   "metadata": {},
   "source": [
    "we,can't apply this method for floor columns Because all the value are not numeric."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9d335e51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2.,  3.,  1.,  4.,  5.,  6.,  9.,  0.,  7.,  8., nan])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now if we check livingRoom Column it is clean data.\n",
    "data.livingRoom.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "757765bf",
   "metadata": {},
   "source": [
    "#### Handling  Floor Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e4a12021",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now,Split the column into a Floor_Type and Floor_Height\n",
    "def Floor_Type(x):\n",
    "    return x.split(' ')[0]\n",
    "\n",
    "def Floor_Height(y):\n",
    "    try:\n",
    "        return int(y.split(' ')[1])\n",
    "    except:\n",
    "        return np.nan\n",
    "\n",
    "data['floor_type']=data['floor'].apply(Floor_Type)    \n",
    "data['floor_height']=data['floor'].apply(Floor_Height)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0ceda937",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['url', 'id', 'Lng', 'Lat', 'Cid', 'tradeTime', 'followers',\n",
       "       'totalPrice', 'price', 'square', 'livingRoom', 'drawingRoom', 'kitchen',\n",
       "       'bathRoom', 'floor', 'buildingType', 'constructionTime',\n",
       "       'renovationCondition', 'buildingStructure', 'ladderRatio', 'elevator',\n",
       "       'fiveYearsProperty', 'subway', 'district', 'communityAverage',\n",
       "       'floor_type', 'floor_height'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c0c5f7d",
   "metadata": {},
   "source": [
    "### Let's Drop unnecessary columns \n",
    "As for the price column, we drop it because price is just totalPrice/square, which are the features already in the dataset\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "151d4494",
   "metadata": {},
   "outputs": [
    {
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       "      <th>square</th>\n",
       "      <th>livingRoom</th>\n",
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       "      <th>ladderRatio</th>\n",
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       "      <th>fiveYearsProperty</th>\n",
       "      <th>subway</th>\n",
       "      <th>district</th>\n",
       "      <th>communityAverage</th>\n",
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       "      <th>0</th>\n",
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       "      <td>26.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>116.453917</td>\n",
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       "      <td>126</td>\n",
       "      <td>575.0</td>\n",
       "      <td>132.38</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>71539.0</td>\n",
       "      <td>高</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>116.561978</td>\n",
       "      <td>39.877145</td>\n",
       "      <td>2016</td>\n",
       "      <td>48</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>198.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>48160.0</td>\n",
       "      <td>中</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>116.438010</td>\n",
       "      <td>40.076114</td>\n",
       "      <td>2016</td>\n",
       "      <td>138</td>\n",
       "      <td>297.5</td>\n",
       "      <td>134.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.273</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>51238.0</td>\n",
       "      <td>底</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>116.428392</td>\n",
       "      <td>39.886229</td>\n",
       "      <td>2016</td>\n",
       "      <td>286</td>\n",
       "      <td>392.0</td>\n",
       "      <td>81.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>62588.0</td>\n",
       "      <td>中</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lng        Lat  tradeTime  ...  communityAverage  floor_type  floor_height\n",
       "0  116.475489  40.019520       2016  ...           56021.0           高          26.0\n",
       "1  116.453917  39.881534       2016  ...           71539.0           高          22.0\n",
       "2  116.561978  39.877145       2016  ...           48160.0           中           4.0\n",
       "3  116.438010  40.076114       2016  ...           51238.0           底          21.0\n",
       "4  116.428392  39.886229       2016  ...           62588.0           中           6.0\n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=data.drop(columns=['floor','url','id','Cid','price'])\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58d1c15f",
   "metadata": {},
   "source": [
    "### Now Let's Handle Categorical Data \n",
    "1> renovationCondition\n",
    "\n",
    "2> buildingStructure\n",
    "\n",
    "3> buildingType\n",
    "\n",
    "4> district\n",
    "\n",
    "5> elevator\n",
    "\n",
    "6> floor_type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d7334636",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.    4.    3.      nan 2.    0.5   0.333 0.125 0.25  0.429 0.048 0.375\n",
      " 0.667]\n",
      "[3 4 1 2 0]\n",
      "[6 2 4 1 5 3 0]\n"
     ]
    }
   ],
   "source": [
    "#Let's Perform one hot encoding\n",
    "print(data.buildingType.unique())\n",
    "print(data.renovationCondition.unique())\n",
    "print(data.buildingStructure.unique())\n",
    "#so,for buildingType we have a data like 0.5   0.333 0.125 0.25  0.429 0.048 0.375 0.667\n",
    "# Which is unnecessary so,we have to remove them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bff5e0cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Removing unnecessary data which is present in buildingType\n",
    "data=data[data['buildingType']>=1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "f82b8a81",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1. 4. 3. 2.]\n",
      "(316798, 22)\n"
     ]
    }
   ],
   "source": [
    "print(data.buildingType.unique())\n",
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3473d461",
   "metadata": {},
   "outputs": [],
   "source": [
    "#let's take a copy of our data for future use\n",
    "df=data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "846b57b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "col_for_dummies=['renovationCondition','buildingStructure','buildingType',\n",
    "                 'district','elevator','floor_type']\n",
    "data=pd.get_dummies(data=data,columns=col_for_dummies,drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "109fad6f",
   "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>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>tradeTime</th>\n",
       "      <th>followers</th>\n",
       "      <th>totalPrice</th>\n",
       "      <th>square</th>\n",
       "      <th>livingRoom</th>\n",
       "      <th>drawingRoom</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>bathRoom</th>\n",
       "      <th>constructionTime</th>\n",
       "      <th>ladderRatio</th>\n",
       "      <th>fiveYearsProperty</th>\n",
       "      <th>subway</th>\n",
       "      <th>communityAverage</th>\n",
       "      <th>floor_height</th>\n",
       "      <th>renovationCondition_2</th>\n",
       "      <th>renovationCondition_3</th>\n",
       "      <th>renovationCondition_4</th>\n",
       "      <th>buildingStructure_2</th>\n",
       "      <th>buildingStructure_3</th>\n",
       "      <th>buildingStructure_4</th>\n",
       "      <th>buildingStructure_5</th>\n",
       "      <th>buildingStructure_6</th>\n",
       "      <th>buildingType_2.0</th>\n",
       "      <th>buildingType_3.0</th>\n",
       "      <th>buildingType_4.0</th>\n",
       "      <th>district_2</th>\n",
       "      <th>district_3</th>\n",
       "      <th>district_4</th>\n",
       "      <th>district_5</th>\n",
       "      <th>district_6</th>\n",
       "      <th>district_7</th>\n",
       "      <th>district_8</th>\n",
       "      <th>district_9</th>\n",
       "      <th>district_10</th>\n",
       "      <th>district_11</th>\n",
       "      <th>district_12</th>\n",
       "      <th>district_13</th>\n",
       "      <th>elevator_1.0</th>\n",
       "      <th>floor_type_低</th>\n",
       "      <th>floor_type_底</th>\n",
       "      <th>floor_type_未知</th>\n",
       "      <th>floor_type_顶</th>\n",
       "      <th>floor_type_高</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>116.475489</td>\n",
       "      <td>40.019520</td>\n",
       "      <td>2016</td>\n",
       "      <td>106</td>\n",
       "      <td>415.0</td>\n",
       "      <td>131.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56021.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>116.453917</td>\n",
       "      <td>39.881534</td>\n",
       "      <td>2016</td>\n",
       "      <td>126</td>\n",
       "      <td>575.0</td>\n",
       "      <td>132.38</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>71539.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>116.561978</td>\n",
       "      <td>39.877145</td>\n",
       "      <td>2016</td>\n",
       "      <td>48</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>198.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48160.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>116.438010</td>\n",
       "      <td>40.076114</td>\n",
       "      <td>2016</td>\n",
       "      <td>138</td>\n",
       "      <td>297.5</td>\n",
       "      <td>134.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51238.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>116.428392</td>\n",
       "      <td>39.886229</td>\n",
       "      <td>2016</td>\n",
       "      <td>286</td>\n",
       "      <td>392.0</td>\n",
       "      <td>81.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>0.333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>62588.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lng        Lat  tradeTime  ...  floor_type_未知  floor_type_顶  floor_type_高\n",
       "0  116.475489  40.019520       2016  ...              0             0             1\n",
       "1  116.453917  39.881534       2016  ...              0             0             1\n",
       "2  116.561978  39.877145       2016  ...              0             0             0\n",
       "3  116.438010  40.076114       2016  ...              0             0             0\n",
       "4  116.428392  39.886229       2016  ...              0             0             0\n",
       "\n",
       "[5 rows x 45 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a85fe406",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(316798, 45)\n",
      "(318851, 26)\n"
     ]
    }
   ],
   "source": [
    "print(data.shape)\n",
    "print(df0.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ba57f680",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.dropna(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "33f12464",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(297990, 45)\n"
     ]
    }
   ],
   "source": [
    "print(data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a6fcdba2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Lng', 'Lat', 'tradeTime', 'followers', 'totalPrice', 'square',\n",
       "       'livingRoom', 'drawingRoom', 'kitchen', 'bathRoom', 'constructionTime',\n",
       "       'ladderRatio', 'fiveYearsProperty', 'subway', 'communityAverage',\n",
       "       'floor_height', 'renovationCondition_2', 'renovationCondition_3',\n",
       "       'renovationCondition_4', 'buildingStructure_2', 'buildingStructure_3',\n",
       "       'buildingStructure_4', 'buildingStructure_5', 'buildingStructure_6',\n",
       "       'buildingType_2.0', 'buildingType_3.0', 'buildingType_4.0',\n",
       "       'district_2', 'district_3', 'district_4', 'district_5', 'district_6',\n",
       "       'district_7', 'district_8', 'district_9', 'district_10', 'district_11',\n",
       "       'district_12', 'district_13', 'elevator_1.0', 'floor_type_低',\n",
       "       'floor_type_底', 'floor_type_未知', 'floor_type_顶', 'floor_type_高'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a23641f",
   "metadata": {},
   "source": [
    "## EDA  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a1422f52",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=data[['Lng','Lat','tradeTime','totalPrice','followers','followers','livingRoom','drawingRoom','kitchen',\n",
    "    'bathRoom','square','communityAverage','ladderRatio']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bd9931ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "sns.heatmap(df1.corr(),annot=True,cmap = \"RdYlGn\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01656674",
   "metadata": {},
   "source": [
    "Summary of Heat-Map\n",
    "\n",
    "i> totalPrice is highly corellated with community average,square,bathroom,livingroom and Trde Time.\n",
    "\n",
    "ii> totalprice is highly negative corellated with ladderRatio,lat and lng."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd2e2c7b",
   "metadata": {},
   "source": [
    "Density Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "c9257993",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='totalPrice', ylabel='Density'>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LROrDtD0VM3sVsBhoNbOzeOkBWfMA/dO5RLPZpXhcb0eKHQoqIlInjjf8dT7R5PwSoPiZ8EeBz8ZUp4Yzm12Kx/V1pnlWjxUWkToxbVBx95uAm8zsQ+7+nQrVqeHMdpsWgIWdLfx8ux4rLCL14XjDXx9z938FlpnZFRPfd/cvTnKaTDCX4a+FnWl2HlRPRUTqw/GGv9rD7464K9LIZrv3F0BXW4ojIzlGx/K0zHIFmYhIpRxv+Ot/h99/WZnqNKbsHIa/mpqMhfOi3sqKhZ1lrpmISHmVuqHktWY2z8ySZna3mQ2Y2cfirlyjyM6hpwLREJiWFYtIPSj1m+697n4E+A2ivb9WAH8SV6UaTSZXIJWYfVDp60iz48BIGWskIhKPUr/pxofJPgB8290Px1SfhjTXnkpPR5rnBofKWCMRkXiU+k33AzN7EngTcLeZ9QF60EeJMrn8rJ6nMm7hPN2rIiL1odSt79cDvwqsdvcxYAhYe7zzzGyNmW0zs34zWz/J+2kzuyW8f7+ZLSt678qQvs3Mzi9Kv9HM9pnZExPK+pyZ7TKzR8LP+0tpWyVk87PbUHJcb0eaXQc1/CUita/UDSUBXkN0v0rxOV+fKrOZNQNfAc4DdgIPmtlGd99SlO0S4KC7rzCzdcA1wIVmtgpYB7wWeDXR81tOd/c88C/Al6e49nXu/rczaFNFjOV8TsNffR1pdh9WUBGR2lfq6q+bgb8FzgHeHH6Otzvx2UC/u2939yywgVf2btYCN4Xj24BzzcxC+oawC/IzQH8oD3f/MVA3t5jn8gUAmptmP/zV2ZIgkyswlMmVq1oiIrEotaeyGljl7j6DshcDO4pe7wTeMlUed8+Z2WGgJ6T/fMK5i0u45uVm9glgE/Bpdz84MYOZXQpcCnDyySeX1pI5yOQKJBOzDygQPVdlYWeaXYdGOP0k3asiIrWr1DGZJ4BXxVmRMvgH4DTgTGA38HeTZXL36919tbuv7uvri71Ss31A10S9IaiIiNSyUnsqvcAWM3sAePGh6e7+wWnO2QUsLXq9JKRNlmdnmKuZDwyWeO7LuPve8WMz+0fgB9Plr5RsrkByDveojOtpT2myXkRqXqlB5XOzKPtBYKWZLScKCOuAj07IsxG4mOiBXx8G7nF3N7ONwDfN7ItEE/UrgQemu5iZLSp6zPFvEvWuqm4um0kW62pLaWNJEal5JQUVd/+RmZ0CrHT3u8ysDZh2d8MwR3I5cEfIe6O7bzazzwOb3H0jcANws5n1E02+rwvnbjazW4EtQA64LKz8wsy+BbwT6DWzncBfuPsNwLVmdibgRHf9/8EMPofYZHIF0mUIKnoCpIjUg5KCipn9PtHkdjfRvMVi4GvAudOdF55rf/uEtKuKjkeBj0xx7tXA1ZOkXzRF/o9P24gqGR3Ll2f4qyPNz54eLEONRETiU+q33WXA24EjAO7+FLAwrko1krlse1+sryPFC5qoF5EaV+q3XSbcawJAmFSfyfLiE1b0KOG5LSkG6GpPcWAoy1i470VEpBaVGlR+ZGafBVrN7Dzg28D/ia9ajSOTy5dlSXGiqYmuthR7DmvLNRGpXaV+260HBoDHiSbAbwf+PK5KNZJMmZYUQzRZr3tVRKSWlbr6q2Bm/wb8m7sPxFulxpLJ5UnOYYuWYl3tSfYeUU9FRGrXtP+EtsjnzGw/sA3YFp76eNV058lLojmV8vRUFrRq+EtEatvxvu0+RbTq683u3u3u3UT7d73dzD4Ve+0aQGYOz6efaEFbUrsVi0hNO15Q+ThwUdgpGAB33w58DPhEnBVrFKNjeRJl6qn0tKfYrZ6KiNSw433bJd19/8TEMK+SjKdKjaVc96lAtKxYw18iUsuO922XneV7EoyO5UmUaaK+uy3FHk3Ui0gNO97qrzeY2ZFJ0g1oiaE+DSeTK5Aq05LirvYUg8eyFApOU5kClYhIOU0bVNx92k0j5fhGx8pz8yNAsrmJjnSC/UMZFnYqpotI7SnPt51MaXSsPFvfj+vpSLH3cOb4GUVEqkBBJWblvKMeoueqaF5FRGqVgkrMood0lW/+o6s9qaAiIjVLQSVmo2W8ox5gfmuK3dr/S0RqlIJKzMo5UQ/Q3Z7iBd1VLyI1SkElZuW8+RGie1V2H9Lwl4jUJgWVmGXLuPcXRNvf6wmQIlKrFFRiVs6bHwF6O9LsOTJKvqAHb4pI7VFQiVm0+qt8H3Mq0cSC1pR2KxaRmqSgErNsmedUAE6al+b5A8NlLVNEpBwUVGKWyRXKuvoLoG9emh0KKiJSgxRUYhbdUV/ezR9729M8N6igIiK1R0ElRu4eDX81lbmn0pnm2cGhspYpIlIOCioxyuYLJJqs7NvUnzSvhR0HNFEvIrUn1qBiZmvMbJuZ9ZvZ+kneT5vZLeH9+81sWdF7V4b0bWZ2flH6jWa2z8yemFBWt5ndaWZPhd9dcbatFOVeTjxuYWeanQc1/CUitSe2oGJmzcBXgPcBq4CLzGzVhGyXAAfdfQVwHXBNOHcVsA54LbAG+GooD+BfQtpE64G73X0lcHd4XVWZsQLpGILK/NYkI2N5jmVyZS9bRGQu4uypnA30u/t2d88CG4C1E/KsBW4Kx7cB55qZhfQN7p5x92eA/lAe7v5j4MAk1ysu6ybggjK2ZVbKfY/KODMLQ2DqrYhIbYkzqCwGdhS93hnSJs3j7jngMNBT4rkTneTuu8PxHuCkyTKZ2aVmtsnMNg0MDJTSjlmLa/gLYNH8Fvr3HYulbBGR2WrIiXp3d2DSfUzc/Xp3X+3uq/v6+mKtR6bM294XO7W3g4eem6zDJiJSPXEGlV3A0qLXS0LapHnMLAHMBwZLPHeivWa2KJS1CNg365qXSSZX3m3vi608qYMHnj0YS9kiIrMVZ1B5EFhpZsvNLEU08b5xQp6NwMXh+MPAPaGXsRFYF1aHLQdWAg8c53rFZV0MfL8MbZiT6AFd5V1OPO7U3g62DxxjOKvJehGpHbEFlTBHcjlwB7AVuNXdN5vZ583sgyHbDUCPmfUDVxBWbLn7ZuBWYAvwQ+Ayd88DmNm3gPuAM8xsp5ldEsr6AnCemT0FvCe8rqpMLl/W59MXSyWaOKW7ncd2Ho6lfBGR2UjEWbi73w7cPiHtqqLjUeAjU5x7NXD1JOkXTZF/EDh3LvUtt3I/oGuilSdF8ypvPbUntmuIiMxEQ07U14o4NpMstmJhBw88o3kVEakdCioxyozlY5tTAVi5sJNHdxwimoYSEak+BZUYxT381d2eornJ2HlQ+4CJSG1QUIlRJlcgEWNPBeC0hR08vkuT9SJSGxRUYpTJ5cu+7f1Ep/S08ciOQ7FeQ0SkVAoqMRodi7+ncmpvBw8/r8l6EakNCioxGh2LZ0PJYqf2tbNl9xEKBU3Wi0j1KajEKFOBoDKvJUlnS5Jn9CRIEakBCioxGh2Lb5fiYqf2tvO47qwXkRqgoBKj0ZiepzLR0q42tuw+Evt1RESOR0ElRpmxAqmYJ+oBlna3seUFBRURqT4FlRgNZXOkk83HzzhHJ3e3sm3P0divIyJyPAoqMRrO5mmpQFDp7UgznM1xcCgb+7VERKajoBKj4UyOlgpM1JsZp/S086R6KyJSZQoqMRrK5isy/AWwtKuVJ/doXkVEqktBJUYj2XxFeioAi7ta2azJehGpMgWVGA2P5SoypwJwcne7lhWLSNUpqMTE3RnJ5kknK/MRn9zdxvaBY4zlCxW5nojIZBRUYpLJFUg0NZGIeZfica2pZhZ2tmhpsYhUlYJKTIazeVpSlf14T+1t5zFt1yIiVaSgEpOhTI7WCs2njFvW265t8EWkqhRUYlKpGx+LndbXzqM7D1X0miIixRRUYjKUzdGSqGxQObm7necGhxnJ5it6XRGRcQoqMRnOVG7l17hUoinaXHK35lVEpDoUVGIylK3cPSrFVizs4L6nByt+XRERUFCJTSXvpi/2tlN7uO2hnbjr8cIiUnmxfuuZ2Roz22Zm/Wa2fpL302Z2S3j/fjNbVvTelSF9m5mdf7wyzexfzOwZM3sk/JwZZ9uOJ9r2vvJBZeXCDnIF5xfPH6r4tUVEYvvWM7Nm4CvA+4BVwEVmtmpCtkuAg+6+ArgOuCacuwpYB7wWWAN81cyaSyjzT9z9zPDzSFxtK8VwJk+6whP1EO1YfM6KXm7dtKPi1xYRifOf0mcD/e6+3d2zwAZg7YQ8a4GbwvFtwLlmZiF9g7tn3P0ZoD+UV0qZNWEomyNdheEvgHNW9HL747sZHdMqMBGprDi/9RYDxf9c3hnSJs3j7jngMNAzzbnHK/NqM3vMzK4zs/RklTKzS81sk5ltGhgYmHmrSnQsk6tKTwWgpyPNsp52/t+2+NonIjKZRpqovxJ4DfBmoBv4zGSZ3P16d1/t7qv7+vpiq8xQpjpzKuPesrybf3t4V9WuLyInpji/9XYBS4teLwlpk+YxswQwHxic5twpy3T33R7JAP9MNFRWNUOZfMVvfix29vJufvLUAMcyuarVQUROPHEGlQeBlWa23MxSRBPvGyfk2QhcHI4/DNzj0VrYjcC6sDpsObASeGC6Ms1sUfhtwAXAEzG27biGq3SfyrjOliT/adE87tyyp2p1EJETTyKugt09Z2aXA3cAzcCN7r7ZzD4PbHL3jcANwM1m1g8cIAoShHy3AluAHHCZu+cBJiszXPIbZtYHGPAI8F/jalsphjJ5Wqo4/AVRb+X7D7/Ab561pKr1EJETR2xBBcDdbwdun5B2VdHxKPCRKc69Gri6lDJD+rvnWt9yqtYd9cXedEoXN/3sWQ4NZ1nQlqpqXUTkxNBIE/U1ZTibr9qS4nFtqQSvXzKfOzZrCExEKkNBJSbV2Pp+Mm9Z3sP3Hn6h2tUQkROEgkpMRmpg+AvgrJO7eGLXYfYdGa12VUTkBKCgEpNaGP6CaDv8tyzv5ru6Z0VEKqD633oNKF9wxvIFUjUQVCDatuXWB3do52IRiV1tfOs1mJGxaDPJJrNqVwWAM17VychYnsd26uFdIhIvBZUYDGdytKaqP58yzsz49dP7+NqPnq52VUSkwSmoxGAom6e1yjc+TrTmda/i4ecP8eNfapNJEYlPbX3zNYijo2O0pmK9r3TG0olmPvG2U/iz7z2uLfFFJDYKKjHYfXiU7rZktavxCmed3MXS7ja+dPdT1a6KiDQoBZUY7D40Qld7bW6L8rG3nsI373+eJ/ccqXZVRKQBKajE4IXDozW711ZXW4qPrF7CZ257jEJBS4xFpLwUVGKw6+AIPTXaUwF41xkLGcs7//rz56pdFRFpMAoqMXjh8Ag9HZM+zbgmNJnxe29fzhfv/KW2bxGRslJQicGew6M13VMBWNzVyjtO7+PaH26rdlVEpIEoqJRZoeDsP5ahu8aDCsDaM1/NPdv28cQu3WkvIuWhoFJm+49l6EgnSDbX/kfblkrwW6uX8Ptf38TP+vdXuzoi0gBq6w69BvDC4VF6a3g+ZaJfP30h81uTfPKWR3jL8m7Wv+81LOlqq3a1RKRO1f4/p+vM7kMj9HTU/tBXsTOXdnHth15PS6KJD/z9f3DtD58kk9Nd9yIycwoqZbb78ChdNXqPynRaks186E1LufqC13Hf9kH+5NuPaat8EZkxBZUy23VopGZvfCxFT0eaT567kq27j/A//v1JxvKFaldJROqIgkqZ7TpU2zc+liKdaOaK807n/u2DvP9LP+Gh5w5Uu0oiUicUVMpo39FR7nt6kNNP6qx2VeZsQVuKz6x5De973au49OsPccWtj/DT/v3ktbWLiExDq7/K6O/u+CXvOL2Xvs76Wf01HTPjbaf18itLFnDX1r1c9f0nGMs7l79rBRectbhmHpcsIrVD3wpl8uiOQ9yxeQ8ffMPialel7DrSCS44czF/tfZ1XPyry/jmA89zzjX3cMNPtuvZLCLyMuqplMHeI6Nc+vVN/O7bl9ORbtyP1MxYtWgeqxbN45n9Q3zv4Z38r3v6ed3i+Zy1dAFnn9rNaX0dvGpeC01NVu3qikgVxPoNaGZrgC8BzcA/ufsXJryfBr4OvAkYBC5092fDe1cClwB54I/c/Y7pyjSz5cAGoAd4CPi4u2fjbB/AWL7A7399E+96zULOXt4d9+VqxvLedq447wz2H8vw7OAQT+87xr3/vo/dh0cpuPPWU3toTydoMiOdaKIt1cyi+S2cdXIXy3ramdeawEyBR6TRxBZUzKwZ+ApwHrATeNDMNrr7lqJslwAH3X2Fma0DrgEuNLNVwDrgtcCrgbvM7PRwzlRlXgNc5+4bzOxroex/iKt94758Tz/NTcYH3/DquC9Vk3o70vR2pFl9yksBdeDoKFt3H2WsUMAdcvkCh0bG2D5wjJvue459R0YZzRVoTzXTnk7Q15FmxcIOOlsSJJqb6G5P0dOeoq8zzZKuNjpbEjjRvmrNTUZrspkFbUkFJZEaFGdP5Wyg3923A5jZBmAtUBxU1gKfC8e3AV+26JtiLbDB3TPAM2bWH8pjsjLNbCvwbuCjIc9NodzYgsoTuw5z3V2/5O6t+/j0e0/nmf1DcV2qLi3pap00/Z1nRL9zBWd0LM9QJs+hkSy7Do4wcDRDzp2jo2McHc1xeHiMQyNjJV8z0WQsaEvSkY56Qe6OhZ5Sa6qZdKIZA8ygucnIF5wmM5qbjCaD1lQznekkLckmmpuacJxCwSk4OC/lTTY3hWNoNmN8PZyZkcsXyBWcXN5JNkfXNjMK7uQKTjKcn0w04aHccUZUpmEUx8vChJtQDXvxvCYzzAwDHF68YfXFdjW99B7hvfEAPdk6PgvtMHsxO2ZRGu7hGiFtuv8YoQEvXnvS60TH49cZr6NPyEdo33h+m/7KUxovebp7eqN22bT5J6vHdGWPf5Yv/p1MU8fZtvF4dZ2o2YwPvH4RnS3lf+x5nEFlMbCj6PVO4C1T5XH3nJkdJhq+Wgz8fMK54zPgk5XZAxxy99wk+V/GzC4FLg0vj5nZrPZ+T8w/6eSm1s4+HD715QNjTa0dueOf1TgKI8cSVW2zNTVhTQl7sbtiTdjL/zjKLT98mOa2+TFeofaozY0rd3jf9sLIkYNALzDTHWVPmeqNxp1VnoK7Xw9cX84yzWxT7tjg6nKWWetO2DYf3qc2N7gTrc1mtsndy9beOJcU7wKWFr1eEtImzWNmCWA+0YT9VOdOlT4ILAhlTHUtERGJWZxB5UFgpZktN7MU0cT7xgl5NgIXh+MPA/d4NCi8EVhnZumwqmsl8MBUZYZz7g1lEMr8foxtExGRScQ2/BXmSC4H7iBa/nuju282s88Dm9x9I3ADcHOYiD9AFCQI+W4lmtTPAZe5ex5gsjLDJT8DbDCzvwYeDmVXSlmH0+qE2nxiUJsbX3mnA7S9uYiIlIu2aRERkbJRUBERkbJRUJkjM1tjZtvMrN/M1le7PnNhZjea2T4ze6IordvM7jSzp8LvrpBuZvb3od2Pmdkbi865OOR/yswunuxatcDMlprZvWa2xcw2m9knQ3ojt7nFzB4ws0dDm/8ypC83s/tD224JC2EIi2VuCen3m9myorKuDOnbzOz8KjWpJGbWbGYPm9kPwuuGbi+AmT1rZo+b2SNmtimkxf+37e76meUP0WKBp4FTgRTwKLCq2vWaQ3veAbwReKIo7VpgfTheD1wTjt8P/DvRDcJvBe4P6d3A9vC7Kxx3VbttU7R3EfDGcNwJ/BJY1eBtNqAjHCeB+0NbbgXWhfSvAf8tHP8h8LVwvA64JRyvCn/vaWB5+P+gudrtm6bdVwDfBH4QXjd0e0OdnwV6J6TF/retnsrcvLgVjUebV45vRVOX3P3HRKvwiq0l2vaG8PuCovSve+TnRPcJLQLOB+509wPufhC4E1gTe+Vnwd13u/svwvFRYCvRTgyN3GZ392PhZTL8ONE2R7eF9IltHv8sbgPONXv5Vkru/gxQvJVSTTGzJcAHgH8Kr40Gbu9xxP63raAyN5NtRdNoD1Q5yd13h+M9wEnheKq21+VnEoY5ziL6l3tDtzkMBT0C7CP6kniaqbc5etlWSkDxVkr10ub/CfwpUAivp9vWqRHaO86B/2tmD1m0PRVU4G/7hNumRWbP3d3MGm4Nupl1AN8B/tjdj1jRLnyN2GaP7vk608wWAN8DXlPdGsXHzH4D2OfuD5nZO6tcnUo7x913mdlC4E4ze7L4zbj+ttVTmZtStqKpd3tDN5jwe19In+lWOjXJzJJEAeUb7v7dkNzQbR7n7oeIdqJ4G1NvczTTrZRqzduBD5rZs0TD0+8meh5To7b3Re6+K/zeR/SPh7OpwN+2gsrclLIVTb0r3kqnePubjcAnwqqRtwKHQ7f6DuC9ZtYVVpa8N6TVnDBWfgOw1d2/WPRWI7e5L/RQMLNWomcTbWXqbY5mupVSTXH3K919ibsvI/r/8x53/20atL3jzKzdzDrHj4n+Jp+gEn/b1V6hUO8/RKsmfkk0Lv1n1a7PHNvyLWA3MEY0dnoJ0Xjy3cBTwF1Ad8hrRA9Mexp4HFhdVM7vEU1k9gO/W+12TdPec4jGnR8DHgk/72/wNr+eaBujx8KXzFUh/VSiL8l+4NtAOqS3hNf94f1Ti8r6s/BZbAPeV+22ldD2d/LS6q+Gbm9o36PhZ/P4d1Ml/ra1TYuIiJSNhr9ERKRsFFRERKRsFFRERKRsFFRERKRsFFRERKRsFFREZsnMFpjZHx4nzzIz+2gJZS2zsDu0mb3TzA6H3WW3mtlfTHHOajP7+9nVXiQeCiois7eAaFfb6SwDjhtUJvETdz8TWA18rHgrcoju9nb3Te7+R7MoWyQ2Ciois/cF4LTQo/ib8PNEeIbFhUV5fi3k+VTokfzEzH4Rfn51ugu4+xDwELDCzD5nZjeb2U+Bm0OPZvz5IB1m9s/h2o+Z2YdC+nvN7L5wrW+Hfc5EYqOgIjJ764GnQ4/i58CZwBuA9wB/E/ZWWk/odbj7dUR7LZ3n7m8ELgSmHb4ysx6i51tsDkmrgPe4+0UTsv53oq01fsXdXw/cY2a9wJ+H/G8ENhE9V0QkNtqlWKQ8zgG+5dEOwHvN7EfAm4EjE/IlgS+b2ZlAHjh9ivJ+zcweJtqu/QvuvtnMPgJsdPeRSfK/h2hvKwDc/WDYoXcV8NOw83IKuG+2DRQphYKKSGV9CthL1KNpAkanyPcTd/+NSdKHZnAtI3rA0sRejUhsNPwlMntHiR5DDPAT4MLwAKw+okczPzAhD0Rbqe929wLwcaJHUpfDncBl4y/CjrI/B95uZitCWruZTdUzEikLBRWRWXL3QaKhpSeInknyGNGusPcAf+rue0Ja3sweNbNPAV8FLjazR4kejjWTnsd0/hroCgsFHgXe5e4DwO8A3zKzx4iGvhr2gVxSG7RLsYiIlI16KiIiUjYKKiIiUjYKKiIiUjYKKiIiUjYKKiIiUjYKKiIiUjYKKiIiUjb/H7N4JfzJfJIdAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data=data['totalPrice'],shade=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6feb4001",
   "metadata": {},
   "source": [
    "So,our most of the output features is lies between 0-2500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "966d94a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    297990.000000\n",
       "mean        349.178136\n",
       "std         224.530679\n",
       "min           0.100000\n",
       "25%         205.000000\n",
       "50%         295.000000\n",
       "75%         427.000000\n",
       "max        4900.000000\n",
       "Name: totalPrice, dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['totalPrice'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a6d0cedb",
   "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>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>tradeTime</th>\n",
       "      <th>followers</th>\n",
       "      <th>totalPrice</th>\n",
       "      <th>square</th>\n",
       "      <th>livingRoom</th>\n",
       "      <th>drawingRoom</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>bathRoom</th>\n",
       "      <th>buildingType</th>\n",
       "      <th>constructionTime</th>\n",
       "      <th>renovationCondition</th>\n",
       "      <th>buildingStructure</th>\n",
       "      <th>ladderRatio</th>\n",
       "      <th>elevator</th>\n",
       "      <th>fiveYearsProperty</th>\n",
       "      <th>subway</th>\n",
       "      <th>district</th>\n",
       "      <th>communityAverage</th>\n",
       "      <th>floor_type</th>\n",
       "      <th>floor_height</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>116.475489</td>\n",
       "      <td>40.019520</td>\n",
       "      <td>2016</td>\n",
       "      <td>106</td>\n",
       "      <td>415.0</td>\n",
       "      <td>131.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.217</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7</td>\n",
       "      <td>56021.0</td>\n",
       "      <td>高</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>116.453917</td>\n",
       "      <td>39.881534</td>\n",
       "      <td>2016</td>\n",
       "      <td>126</td>\n",
       "      <td>575.0</td>\n",
       "      <td>132.38</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>71539.0</td>\n",
       "      <td>高</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>116.561978</td>\n",
       "      <td>39.877145</td>\n",
       "      <td>2016</td>\n",
       "      <td>48</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>198.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>0.500</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>48160.0</td>\n",
       "      <td>中</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>116.438010</td>\n",
       "      <td>40.076114</td>\n",
       "      <td>2016</td>\n",
       "      <td>138</td>\n",
       "      <td>297.5</td>\n",
       "      <td>134.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0.273</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6</td>\n",
       "      <td>51238.0</td>\n",
       "      <td>底</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>116.428392</td>\n",
       "      <td>39.886229</td>\n",
       "      <td>2016</td>\n",
       "      <td>286</td>\n",
       "      <td>392.0</td>\n",
       "      <td>81.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>62588.0</td>\n",
       "      <td>中</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lng        Lat  tradeTime  ...  communityAverage  floor_type  floor_height\n",
       "0  116.475489  40.019520       2016  ...           56021.0           高          26.0\n",
       "1  116.453917  39.881534       2016  ...           71539.0           高          22.0\n",
       "2  116.561978  39.877145       2016  ...           48160.0           中           4.0\n",
       "3  116.438010  40.076114       2016  ...           51238.0           底          21.0\n",
       "4  116.428392  39.886229       2016  ...           62588.0           中           6.0\n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "77467c9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='followers', ylabel='communityAverage'>"
      ]
     },
     "execution_count": 44,
     "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": [
    "sns.scatterplot(x=df['followers'],y=df['communityAverage'],hue=df['elevator'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ae13c4cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='totalPrice', ylabel='communityAverage'>"
      ]
     },
     "execution_count": 45,
     "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": [
    "sns.scatterplot(x=df['totalPrice'],y=df['communityAverage'],hue=df['renovationCondition'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c37029d5",
   "metadata": {},
   "source": [
    "So,most of the expensive houses have HardCover as a renovation condition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5d27a2f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sns.swarmplot(x=df['renovationCondition'],\n",
    "#               y=df['followers'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "000b2c14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='communityAverage'>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xBw/PXB3zfvUR7vqWefnR3o3DNFZRJRjxXC4it7vnvUWk2lX0puGItUa0I8LFnI/O/rrG/ZI9JUyswjVbvTi35ul4amq+rMuFqi/4zhdtJSLq7SJs+P6yDeFXGFODaGsw/wBOBELTv+zAu9OkMQC8sbAgrUaDNRY1dePUOAKwyo77yxrOlD8mcaJNMCeo6g3AXgBV3QpkBhaVSUtnPvRxrU1iJvlSZeSjafiiTTClIpKBq2mLSBcgdYb3mJSxcsOOZIeQEPG4/qc2qXKnb+vLN3UV7SiyR4CpwPdE5F68+6z8T2BRpZEU+QxIGY+kWZ9KLEQa17f/dP5Ny8oVVeVAudK0iaBAExGaCJQrFT/LypXMpge/Zx8oK6+YlqhpkyaUlpVTrooqtGiWQbkqpWXltGiawf6yckrLymnZLMPmyYsgqgSjqi+IyALgDLz33fmquiLQyIxp5FLpavp0u9iy363V7vABwIl9O/FF3mbuvWAQt0317nf4t0sGM2ZwDwAOv+29Op1v5cSRtGiWUbdgG7CoEoyIdASKgJd8Zc1UNfp5140xyRN1hkizTBKjL/K8u6eHkgvAb6Ys5jdTFnNYp1Z1Pu7u/WWWYMKItl63ECgGVgNr3HK+iCwUkaFBBWdMYxZ082t95yJraNZu3l37RiYmEs3t6kXkn8BrqjrdPR8B/BR4Bvibqp4QaJQJkJ2drTk5OTHv94vJ85m5IvL90E18Rbo9cTxkTXg3LsdpliE13qmyPh666Fh+/8qXcT/uR384jcuemhv3GSGC/HvVJF5/y2gt/NNZdGwdzMDaoH+X+v6NRGSBqmaHWxdtDWZ4KLkAqOoHwImqOgdoXq/o0pwlF1NVUMkFCCS5gHc/l0RNNxS0PQ3oNt3pLtoEUygiN4vIYe5xE7DRDV224crGmJSxY2/iu4a37t5f+0aNULQJ5lKgJ/Bv9+jtyjKAi8LtICKTRKRIRJb5yv4iIitFZImITBWR9q48S0T2iMhi93jct89QEVkqIrki8oi4iwNEpKOIzBCRNe5nB1cubrtcd54hMb4mxhgTk2+t/yasqBKMqm5S1V+r6nHucaOqFqvqflXNjbDbs8DIKmUzgEGqegzegIFbfOu+VtXB7nGtr/wx4JdAf/cIHXMCMEtV+wOz3HOAUb5tx7v9jTHGJFi0k112cbWPaSLyYehR0z6q+gmwpUrZB6oamhVxDl6tqKbzdgfaquoc9UYjPAec71aPASa75clVyp9TzxygvTuOMcaYBIq2iewFYCXQB7gLyAfm1/PcVwP+q5r6iMgiEflYRE5xZT0A/92o1rsygK6qGpr4agPQ1bfPugj7VCIi40UkR0RyiouL6/GrGGNSRcO+kie9RJtgOqnq00Cpqn6sqlcDp9f1pCJyG3AAL3EBFAK9VfU44PfAiyLSNtrjudpNzO8rVX1SVbNVNbtLly6x7m5Mg5G/ueb7+phaNMYLh6IQ7VxkoWEZhSJyDvAd0LEuJxSRnwPnAme4xICq7gP2ueUFIvI1cARQQOVmtJ6uDLxRbN1VtdA1gYXGCxcAvSLsY4wJY2+pDQY18RdtDeYeEWkH/DfwB+Ap4HexnkxERgI3Aeep6m5feRc35BkR6YvXQZ/nmsBKRGS4Gz12JfCm2+0tYJxbHlel/Eo3mmw4sN3XlGaMMSZBaq3BuA/+/qr6DrAd+FE0BxaRl4DTgM4ish64A2/UWHNghhttPMeNGDsVuFtESvGuq7lWVUMDBK7HG5HWEq/PJtRvcz/wiohcA6zl4HDpacBoIBfYDVwVTbzGGGPiq9YEo6plIjIWeDiWA6vq2DDFT0fY9nXg9QjrcoBBYco3483uXLVcgRtiidUY03Ck28zPDVm0fTCfi8jfgZeBit5AVV0YSFTGGJNGrI8/vGgTzGD3825fmVKPkWTGGGMatmhvOBZVv4sxxhgTEu2V/F1F5GkRec89H+A6140xxpiwoh2m/CwwHTjUPV8N/DaAeIwxJu1I0HeHS1PRJpjOqvoKbmp+N5+Y3XTBGJNyNAmTxVh6CS/aBLNLRDrhpmMJXcAYWFTGGBODbbv3c9+0FZSW2YwEqSTaUWT/jXeFfD8R+RzoAlwYWFTGGBODe99dwasL1jPw0LYM61OnWaxMAKIdRbZARH4IfB+vNrhKVRN/2zhjjAkjVHMpt6ssU0q0o8iW4M0htldVl1lyMcaYgz7L3cT7yzYkO4yUE20fzI/xptd/RUTmi8gfRKR3gHEZY0zMVJMzVcyTn+Rx7fMLEn/iFBftLZPXquoDqjoUuBQ4Bvgm0MiMMSZKoWHC1kKWWqLt5EdEDgMudo8yvCYzY4xJOhsmnJqiSjAiMhdoBrwK/ExV8wKNyhhj6sAqMKkl2hrMlaq6CkBEWovI5cBYVT0nuNCMMSZKVoVJSdF28n8jIheIyKtAId59WB4PLixjEmv7HhsY2RCoJuM6fhNJjTUYERkBjAVGALOB54DjVdXuEmkalNUbdyQ7BFMP4qowllxSS201mPeBvsDJqnq5qr6Nm4/MGGNShc01mZpq64MZAlwCzBSRPGAKkBF4VMYkmH0+GRN/NdZgVHWxqk5Q1X7AHXh3tmwmIu+JyPjaDi4ik0SkSESW+co6isgMEVnjfnZw5SIij4hIrogsEZEhvn3Gue3XiMg4X/lQEVnq9nlE3GD4SOcwxjRMFV8QrI0spUTbyY+q/kdVfw30BB4Ghkex27PAyCplE4BZqtofmOWeA4wC+rvHeOAx8JIFXnI7ARgG3OFLGI8Bv/TtN7KWcxgT1usL1yc7BFMPoSYyRVG72jJlRDsX2RsiMlpEmqhquap+oKpX17afqn4CbKlSPAaY7JYnA+f7yp9TzxygvYh0B84GZqjqFlXdCswARrp1bVV1jnrvqOeqHCvcOYwJ66V565IdgjENTrQ1mH8AlwFrROR+Efl+Pc7ZVVUL3fIGoKtb7gH4/8vXu7KayteHKa/pHMaYBswqL6kl2rnIZqrqZXid/vl4nf7/EZGrRKRZXU/uah6BviVqOoeIjBeRHBHJKS4uDjIMY0yAxIZppKSo+2DcHS1/DvwCWAT8DS/hzIjxnBtd8xbuZ5ErLwB6+bbr6cpqKu8Zprymc1Siqk+qaraqZnfp0iXGX8MYk2qsApNaou2DmQp8CrQCfqyq56nqy67Tv02M53wLCI0EGwe86Su/0o0mGw5sd81c04ERItLBde6PAKa7dSUiMtyNHruyyrHCncMY0wBVdPJbhkkp0c5F9k9VneYvEJHmqrpPVbMj7SQiLwGnAZ1FZD3eaLD78e4rcw2wFrjIbT4NGA3kAruBqwBUdYuITATmu+3uVtXQwIHr8UaqtQTecw9qOIcxpgGyCy1TU7QJ5h68BOD3BV4TWUSqOjbCqjPCbKvADRGOMwmYFKY8BxgUpnxzuHMYY4xJnNrmIuuGNzKrpYgcx8HrmdriNZcZY0wKCM1FZm1kqaS2GszZeB37PYGHfOU7gFsDiskYY2KSSn0wH68uZuHarfzurCOSHUrS1ZhgVHUyMFlEfqqqrycoJmOMqbNkJ5lxk+YBcMWJh9G5TfPkBpNktTWRXa6qzwNZIvL7qutV9aEwuxljTFKkQAWmwoGyVIomOWprImvtfsY6FNkYYxLm4GSX9qGeSmprInvC/bwrMeEYYxqjfy8q4J53V1BWXs7IQd2ZtWIjRTv28cCFxzDvmy20b9mMTTv38e/F3zGoR1vuOm8gUxcVMH35Rop37Ks4zp/eXM6/b2ifvF/Ex4ZORzlMWUS64M1anOXfJ5oJL40xpja/fXlxxfJL876tWL7ptSXVtl1WUMJPH/si4rHueeeruMZm6i7a62DexLuSfyZQFlw4xhhTP6nSSGYVmOgTTCtVvTnQSIwxJg7sfjCpI9rJLt8RkdGBRmKMMaZBiTbB/AYvyewRkRIR2SEiJUEGZowxac3ayKK+H8whqtpEVVuqalv3vG3QwRljTLo67S8fUVbeuJvroh1Fdmq4cndLZGOMMVXs3l/Grv0HaNuizvdkTHvRNpH90ff4E/A2cGdAMRkTs937D3D5U3PJK94JwCvz1/G/01ZUrL/+hQVkTXiXK56eW1G2ckMJWRPeZeqi9dWOZ9LXwm+3JTuECo29lSzaJrIf+x5n4U2RvzXY0IyJ3mdrNvFZ7ibum7YSgJteX8ITn+RVrJ+2dAMAn67ZVFF229RlAPzu5S8TGKlpTKSRX20Z9S2Tq1gPHBXPQIyJj8bd5m1SS+NOL9H3wfw/Dv7nNgEGAwsDismYmDX2b4omNTX2t2W0F1rm+JYPAC+p6ucBxGNMvdg1diaVSCOvw0SVYNx9YYxJWaF/Y8svJpU09hpMVH0wInKuiCwSkS12oaVJRXX5R27k//vGBC7aTv7/A8YBnep7oaWIfF9EFvseJSLyWxG5U0QKfOWjffvcIiK5IrJKRM72lY90ZbkiMsFX3kdE5rryl0Uksy6xmvRj81CZVLJh+95kh5BU0SaYdcAyjcN/r6quUtXBqjoYGArsBqa61Q+H1qnqNAARGQBcAgwERgL/EJEMEckAHgVGAQOAsW5bgD+7Yx2ON5z6mvrGbVJbqAYze1Vxrdu+v2wDWRPeZcvu/QFHZRq75d817oaeaDv5bwKmicjHQMXdfeJwy+QzgK9VdW0No4DGAFNUdR/wjYjkAsPculxVzQMQkSnAGBFZAZwOXOq2mYx3Uehj9YzVpLBYOlMnff4NAHnFu4IKxxhD9DWYe/FqGi2AQ3yP+roEeMn3/EYRWSIik0SkgyvrgVeDClnvyiKVdwK2qeqBKuXViMh4EckRkZzi4tq/+RpjTCwaeyd/tDWYQ1V1UDxP7PpFzgNucUWPARPxBgJNBP4KBHrHTFV9EngSIDs72xrv01ks/8j2lzYmIaKtwUwTkRFxPvcoYKGqbgRQ1Y2qWqaq5cA/OdgMVgD08u3X05VFKt8MtBeRplXKTQPWyL8oGpOSoq3BXAf8QUT2AaV4/89azyn7x+JrHhOR7qpa6J5eACxzy28BL4rIQ8ChQH9gnouhv4j0wUsglwCXqqqKyGzgQmAK3ui3N+sRp2lg1KowJiBZE96t9Pz6Fw5OeJJ//zmJDifpor3QMh79LRVEpDVwFvArX/EDIjIYrwEjP7ROVZeLyCvAV3izCNygqmXuODcC04EMYJKqLnfHuhmYIiL3AIuAp+MZv0k9NlWMMakn2hoMInIMkOXfR1XfqMtJVXUXXme8v+yKGra/F2+gQdXyacC0MOV5HGxiM42ApRdjUk+0k11OAo4BlgPlrliBOiUYY5LJrsU0JjGircEMV9UBtW9mTHJYC1lqemfJd9z44qJkh2GSJNpRZF/4rpI3JqUtWLulxvVWgUkcSy6NW7Q1mOfwkswGvCv5Q6PIjgksMmNisGlnxQQTFXeqBJifv4VOrStPRbdgrd2M1ZhEiDbBPA1cASzlYB+MMSkj0m2Pf/b4FwmOxBgTEm2CKVbVtwKNxJg4sSHLxkRv8bptHN2jHRlN4v9/E22CWSQiLwJvU3mySxtFZhKq6oVs4awobNwz2Jr0Fc37O97Of/RzfnNGf3531hFxP3a0CaYlXmLxTxdjw5SNMaYBWLVhRyDHjfZK/qsCObsxxpikC6pVOdpbJvcUkakiUuQer4tIz2BCMsYYk0hJTTDAM3iTTh7qHm+7MmOMMWkulhv2xSLaBNNFVZ9R1QPu8SzQJZCIjDGmASov14rHgbJyVLXikWxB1WCi7eTfLCKXc3B6/bF4910xxhgThb63VpuXF4DBvdpz88gjGfvPOQmO6CD/hcrxFG0N5mrgImADUIh3r5WfBxKRMcY0IovXbUtqcgGYk1fz9Ep1FW0N5m5gnKpuBRCRjsCDBHxLY2OMMekr2hrMMaHkAqCqW4DjggnJGGNMQxBtgmkiIh1CT1wNJuqblRljjGl8ok0Sf8WbTflV9/xnhLnDpDHGGBMS7ZX8z4lIDnC6K/qJqn4VXFjGGGPSXdTNXC6hWFIxxlQYO6w3L837NtlhNBotmjVhb2n63DEl2j6YuBORfBFZKiKLXe0IEekoIjNEZI372cGVi4g8IiK5IrJERIb4jjPObb9GRMb5yoe64+e6fW0Od2PirFmG0LlN82SH0WhccFx6zdCVtATj/EhVB6tqtns+AZilqv2BWe45wCigv3uMBx6DisEGdwAnAMOAO3yDER4Dfunbb2Twv44xjc+oQd2SHUKj0a9L62SHEJNkJ5iqxgCT3fJk4Hxf+XPqmQO0F5HuwNnADFXd4oZRzwBGunVtVXWOevMwPOc7ljEmju748QAW/umsZIfRKFx9Up9khxCTZCYYBT4QkQUiMt6VdVXVQre8AejqlnsA63z7rndlNZWvD1NeiYiMF5EcEckpLi6u7+9jTKNz/nE9aJrRhI6tM5MdSqPQJIC7TgYpmQnmZFUdgtf8dYOInOpf6Woegc4Cp6pPqmq2qmZ36WJzdxoTqyG9O1Qru+PHA5IQiUlFSUswqlrgfhYBU/H6UDa65i3czyK3eQHQy7d7T1dWU3nPMOXGmEbo05t+lOwQ4iIVZl6ORVISjIi0FpFDQst4t2JehnfPmdBIsHHAm275LeBKN5psOLDdNaVNB0aISAfXuT8CmO7WlYjIcDd67ErfsYwxjUzTjPRqWgrn1CO6ICI8fPGxAFx1UlbFuuzDvJrkvRcM4tmrjuedX59Mu5bNkhFmJcma7qUrMNWNHG4KvKiq74vIfOAVEbkGWIs3gzPANGA0kAvsBq4Cb040EZkIzHfb3e3mSQO4HngWaAm85x7GmEbkiSuG0r5lM7q3a8m1P+zHN5t2sre0nMuHH8by77ZzxfDD+NectZw9sBtfrtvGe8s28PHq8P2xH/zuVEY8/EmCf4OD7j1/EOANVQ4NV37m83wAXrvuB9W2v3vMQH4zZXGlsuV3nc3AO6YHGqdfUhKMquYBx4Yp3wycEaZcgRsiHGsSMClMeQ4wqN7BGmPS1tkDDw6hnjDqyErrzhrgjSH67ZlHAHBU97a8v3xDxGMd0fWQACIMzve7VY+3WUYTzj2mO+8sKQyzR/zZhJXGGOOceVRXPloVeUTp+FP78uQneQmM6KBwl4ovvv2siLc7PrJbW768fQS7Sw/QRISWmRlkNm3C/108mIljBnHcxBkBR2wJxhgTZ2nWD13JZSf05sfHHMqqjTv4YPkGnvrsGwD+cZk3ecito49ixICulOwt5drnF7L/QOKmbSnZcwCqDNpr36rm4eHtWjWjHZX7YppmNKFDgoaVp9qFlsYYkzQiQrtWzRjWpyMjfTMU+C8/yc7qyOlHdq1oYkuUbbv3J/R88WAJxhhjalW9Gequ8wYmNoI0nE7REowxxtRBoif5TMP8YgnGGGPCGdSjHV3bNqd1Zgan9O+c7HBokoYZxjr5jTEmjBbNMph765nJDqNCGuYXSzDGmIbpshN6J/R8+fefE7Y8a8K7cTl+ms1zCVgTmTGmgWrToqF9f06/DGMJxhjTMKXx9TjhpGMTmSUYY0ydPHHF0ErPbz93AL86tS8XHFft1ktJ0cDySxrWXyzBGBPWnFuqTYlngAd/dnAKQf88XwBXn9yHW0YflbCrxFPBmzecBCTmTpPpeB1MQ2ukNKZeju3VngsGH0q3di0qlU8cM5A/vbm84vlPhvSgaRPhlRzvxqnnHNOdRy/1phOprVO3icCFQ3vywIXHUlpWTv/bvIm++3Zpzc69ByjasQ/wOo0Xr9vGNc/O57je7enVsRWjj+7Ozx7/gi6HNKfYt93A299n1/6yinM8+LNj+dcX+Vx0fC8uO+GwivLLn5rLZ7mbIsb2vz85mrHDvM7xK56ey6drNlWcIySzaROOCjORYqpJxL1Tju3VPmLnfrylX3qxBGNMJaFvpOB9qN744kJv5tkq3x4fumgwAA9cWG1ScHp2aMn6rXv45I8/4tS/zK441m1Tl/LC3G+567yBXHFiFuDNblv1A8qfoAb3as+CKve7D23v32753SOrxXHh0J7Vymo7jv+3/Nc1J5A14V3OObp7pf3OO/bQGo+bKtJ5TrRw0rACYwnGmFi0aNaEebfVfG1EpA+CVPiAqC2Gquu/vH0ErZpnBBdQgBpYfklLlmCMqcHt5w6gRbMMfja0J/mbdvGTIT1o26LmOwX+49KhPP7J1/To0JLrT+vHkd3bAvDr0/uzfusexsSpE3zi+YPYte9ATPvcd8HRnPLAbJ6/5oSw66teLd6uVfLvilhX6VKD6d6uBYXb9wLQLEPo2rYFqlCwbU+l7dLl9/GzBGNMDb7XtkVFx/afzh0Q1T5H92xX0R9z08iDN7nq2rYFz141rNb9H7742FqTGMAVww+rdZuqenVsVa1J7o3rf8BHq4op2VPKmMHxSX5/GHEED36wOi7HqitNkzrM+789NeLtjc9++BNWbdwBpEYNOFY2isyYFHPBcT0546jETQU/pHcHfn/WEdx53kAym8bnI+HG0/tHXDf56mHk338Oh1YZSBFv6fKNv1lG5Mzx2nUnViwf3aNdIsKJK0swxphAnHx4+AkiQ4klTT7/6+2/zoicbH/+gyxaZUZuSDqkRTPy7z+H/PvPScthypZgjDGBePaq46uNODulf2f6u3vbB13D6NeldbAniNLvzzqiIklMGT8cgDOO/B7595/DnQm+p4zfIjc6scshzcm7b3Qg50h4ghGRXiIyW0S+EpHlIvIbV36niBSIyGL3GO3b5xYRyRWRVSJytq98pCvLFZEJvvI+IjLXlb8sImlx5deae0dxZIzXF1x6Qm+yD+vAJcf3qnXbE/p0rGto9TZxTPT/SN3aBtt0EknnNmnxNkkbTTOa8MjY4yqVXRzmfeqflPLYXu1pnXlw1NovT+nDEV3bAN6gBoA2zZvy90u9444d1ouJ5w/iouyenHuMN5y6b5fWjBl8aMVQ8FQyLKsjvzvzCP584THJDoUOrTPJv/8c5t92Jk0CmkkzGZ38B4D/VtWFInIIsEBEZrh1D6vqg/6NRWQAcAkwEDgUmCkiR7jVjwJnAeuB+SLylqp+BfzZHWuKiDwOXAM8FsQv0/97bVhTtDOqbTu0asbW3aUR1zfLaMLU60/iqNvfB6Bti6aU7K15lNB9FxxdsTxl/roat/1+t0OY+82WqGKNtxP7dapWdnSPdiwt2F6tvN/3WrOhZG8iwqok0TeQaiz8f+dBhx7sR7jyB4fxwPuraOvr4PZfhxRym29Mgn9gw7nH+GtHXvnfL41T0AFp0kT4zZmRm8wamoQnGFUtBArd8g4RWQHUNHRlDDBFVfcB34hILhAaipOrqnkAIjIFGOOOdzoQeqtNBu4koAQTi3f+6xROuv/DsOtCNzRq6fv2NqxPR2auKIrb+ZPR6dm3c2vyNu2iedPq11K8NH44m3fu47BOXlPGpp37yL5nJuNOzOKFXwxn+H2zkpJoTHy9/euTw5Zff9rhXH/a4fxt5poER2QSJanDlEUkCzgOmAucBNwoIlcCOXi1nK14yWeOb7f1HExI66qUnwB0Arap6oEw21c9/3hgPEDv3nW7d8TJ/TtHXYPp2OpgE8zwvh1ZUbiD7Xu8Gs1Jvg7Rqdf/gJaZGTw4fVXY4ww8tC3LvyupU7yJ0Ldza6becBL/yd3EDw7vzH9yN9GrYyvevvHkiqGWql5TR5vmB9+Cnds0rzSE9t83nMSKDSVc9cz8hMQ99LAOCTmPqSxdhhOb2CUtwYhIG+B14LeqWiIijwET8QaXTAT+ClwdZAyq+iTwJEB2dnad3uW3nzuADdv30rF1Jq0yMzj/uB50b9eSvOKddGydScfWmTz+cR4XDu1Jy8wMPvrDaRTt2MfxWR0YfLfXMvjiL09geJ+DTUjH9Q590HmfxreMOpL/fW9lxfrzjj00rgnmrvMGcsdb3jxbn084nf0HyvnRgx/V6VjT/usUjux2CE2aCKPcFCOhn0f3jG2YZbd2LejWrgWL/nQWE9/5itFHd+eB6Stp3yqTX53al79+sJrMpk1YvG4b4LXf33fBIHbtK6N7uxac8oA3Tcv7vz2F5QUlbN9TSqc2mRz+vTZMmbeOQT3a0iqzKW1bNqN7uxZkdUqNTuHGJl2GE5vYJSXBiEgzvOTygqq+AaCqG33r/wm8454WAP6ewZ6ujAjlm4H2ItLU1WL828ediPDY5UOrlXdsfbBDfcKogxfbZXVuTVbnyh9kR3VrW2MnW9Xt6yrSN8X+rhMVoEf7lvU6x4BD29Zr/3A6tM7koYsHA3DmgIPXh9R0rchOd4V7q8wMjuzWliO7VY5r4vnpd01BQ5WISSlNciRjFJkATwMrVPUhX7l/Rr0LgGVu+S3gEhFpLiJ9gP7APGA+0N+NGMvEGwjwlnrv1tnAhW7/ccCbQf5OdRXrvFAmdvYSpr5yyy8NVjJqMCcBVwBLRWSxK7sVGCsig/GayPKBXwGo6nIReQX4Cm8E2g2qWgYgIjcC04EMYJKqhuZTvxmYIiL3AIvwElrKad+yGdt2l0ZMJIe4/onMjMrfA1o0yyCjiVAW439mxAu66vkP3jozo9JU8cbEwj+wxTQsyRhF9hnhv1hOq2Gfe4F7w5RPC7efG1lW+6RPSfb8L05g9soi2rcKf/3FnWMGcnjXNvzwiC68ft0P+G7bHtZu3sWlJ/TmpMM7s+jbrZW2P6V/Z77f9RDat2rGpM/z6dg6k+t+2I/9ZeVs3rmPq0/uw8XH9+KMv35csY//BlJ+fzz7+6woLGFQj3ac2LcTYx79HIAT+3bii7zNfHrTj5i1YiOL123jv87ozx1vLedm37xbyWbNLunjuh/24y/TV/GPy4YkOxQTZ2L/iJ7s7GzNyclJdhgJMW1pIde/sJBRg7rx2OVD+U/uJi59ai4n9u3ES+5K46pC9wxJ1M2V6mvH3lKOvvMDWmdmhL1XijEmPkRkgapmh1tnU8WYBjlINB3nbTKmobEEYyrYZ7IxJp4swZgGyZp+jUk+SzCmQbOmMmOSxxJMIxSanfb0I78HwGGdWgFw9sBuEfcJ+uZQxpiGx26Z3Agd/r1DWHbX2RXzgPXs0Ipld51daZr0qj7644/Sas6o9InUmIbLEkwj5Z9kMtzzquJ1K91EswYyY5InPT81jDHGpDxLMKZBCtVcWtg0JMYkjTWRmQbpkBbNuHnkkZw9MPKMy8aYYFmCMQ3Wdaf1S3YIxjRq1kRmjDEmEJZgjDHGBMISjDHGmEBYgjHGGBMISzDGGGMCYQnGGGNMICzBGGOMCYQlGGOMMYEQuzGTR0SKgbV13L0zsCmO4SSaxZ886Rw7WPzJlgrxH6aqXcKtsAQTByKSo6rZyY6jriz+5Enn2MHiT7ZUj9+ayIwxxgTCEowxxphAWIKJjyeTHUA9WfzJk86xg8WfbCkdv/XBGGOMCYTVYIwxxgTCEowxxphAWIKpJxEZKSKrRCRXRCYkOZZ8EVkqIotFJMeVdRSRGSKyxv3s4MpFRB5xcS8RkSG+44xz268RkXG+8qHu+LluX6keRUzxThKRIhFZ5isLPN5I54hT/HeKSIH7GywWkdG+dbe4WFaJyNm+8rDvIRHpIyJzXfnLIpLpypu757lufVYdYu8lIrNF5CsRWS4iv6nptUm117+G+NPl9W8hIvNE5EsX/111PWe8fq9AqKo96vgAMoCvgb5AJvAlMCCJ8eQDnauUPQBMcMsTgD+75dHAe3i3rx8OzHXlHYE897ODW+7g1s1z24rbd1Q94z0VGAIsS2S8kc4Rp/jvBP4QZtsB7v3RHOjj3jcZNb2HgFeAS9zy48B1bvl64HG3fAnwch1i7w4MccuHAKtdjGnx+tcQf7q8/gK0ccvNgLnutYrpnPH8vYJ4JOWDsKE8gBOB6b7ntwC3JDGefKonmFVAd7fcHVjllp8AxlbdDhgLPOErf8KVdQdW+sorbVePmLOo/AEdeLyRzhGn+O8k/AdcpfcGMN29f8K+h9wH0CagadX3Wmhft9zUbSf1/Du8CZyVbq9/mPjT7vUHWgELgRNiPWc8f68gHtZEVj89gHW+5+tdWbIo8IGILBCR8a6sq6oWuuUNQFe3HCn2msrXhymPt0TEG+kc8XKja0aa5Gv+iTX+TsA2VT0QJv6Kfdz67W77OnHNLcfhfYtOu9e/SvyQJq+/iGSIyGKgCJiBV+OI9Zzx/L3izhJMw3Kyqg4BRgE3iMip/pXqfWVJm3HpiYg3gHM8BvQDBgOFwF/jeOy4E5E2wOvAb1W1xL8uHV7/MPGnzeuvqmWqOhjoCQwDjkxuRPFnCaZ+CoBevuc9XVlSqGqB+1kETMV7024Uke4A7meR2zxS7DWV9wxTHm+JiDfSOepNVTe6D45y4J94f4O6xL8ZaC8iTcPEX7GPW9/ObR8TEWmG9+H8gqq+4YrT5vUPF386vf4hqroNmI3XXBXrOeP5e8WdJZj6mQ/0d6MyMvE6395KRiAi0lpEDgktAyOAZS6e0MiecXht1bjyK93ooOHAdtdsMR0YISIdXPPCCLw22kKgRESGu9FAV/qOFU+JiDfSOeot9MHpXID3Nwid8xI3GqgP0B+vEzzse8h9s58NXBjhtQjFfyHwods+ljgFeBpYoaoP+ValxesfKf40ev27iEh7t9wSr/9oRR3OGc/fK/6C6txpLA+80TWr8dpPb0tiHH3xRop8CSwPxYLX5joLWAPMBDq6cgEedXEvBbJ9x7oayHWPq3zl2Xj/sF8Df6f+Hcsv4TVjlOK1BV+TiHgjnSNO8f/LxbcE75+/u2/721wsq/CNwIv0HnJ/03nu93oVaO7KW7jnuW593zrEfjJe09QSYLF7jE6X17+G+NPl9T8GWOTiXAbcXtdzxuv3CuJhU8UYY4wJhDWRGWOMCYQlGGOMMYGwBGOMMSYQlmCMMcYEwhKMMcaYQFiCMcYYEwhLMMYYYwLx/wGWy8Bl4sLDjwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=df['communityAverage'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "032c1f0c",
   "metadata": {},
   "source": [
    "Most of the peoples average are lies in 12500-150000 ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ebbe0115",
   "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>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>tradeTime</th>\n",
       "      <th>followers</th>\n",
       "      <th>totalPrice</th>\n",
       "      <th>square</th>\n",
       "      <th>livingRoom</th>\n",
       "      <th>drawingRoom</th>\n",
       "      <th>kitchen</th>\n",
       "      <th>bathRoom</th>\n",
       "      <th>constructionTime</th>\n",
       "      <th>ladderRatio</th>\n",
       "      <th>fiveYearsProperty</th>\n",
       "      <th>subway</th>\n",
       "      <th>communityAverage</th>\n",
       "      <th>floor_height</th>\n",
       "      <th>renovationCondition_2</th>\n",
       "      <th>renovationCondition_3</th>\n",
       "      <th>renovationCondition_4</th>\n",
       "      <th>buildingStructure_2</th>\n",
       "      <th>buildingStructure_3</th>\n",
       "      <th>buildingStructure_4</th>\n",
       "      <th>buildingStructure_5</th>\n",
       "      <th>buildingStructure_6</th>\n",
       "      <th>buildingType_2.0</th>\n",
       "      <th>buildingType_3.0</th>\n",
       "      <th>buildingType_4.0</th>\n",
       "      <th>district_2</th>\n",
       "      <th>district_3</th>\n",
       "      <th>district_4</th>\n",
       "      <th>district_5</th>\n",
       "      <th>district_6</th>\n",
       "      <th>district_7</th>\n",
       "      <th>district_8</th>\n",
       "      <th>district_9</th>\n",
       "      <th>district_10</th>\n",
       "      <th>district_11</th>\n",
       "      <th>district_12</th>\n",
       "      <th>district_13</th>\n",
       "      <th>elevator_1.0</th>\n",
       "      <th>floor_type_低</th>\n",
       "      <th>floor_type_底</th>\n",
       "      <th>floor_type_未知</th>\n",
       "      <th>floor_type_顶</th>\n",
       "      <th>floor_type_高</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>116.475489</td>\n",
       "      <td>40.019520</td>\n",
       "      <td>2016</td>\n",
       "      <td>106</td>\n",
       "      <td>415.0</td>\n",
       "      <td>131.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>56021.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>116.453917</td>\n",
       "      <td>39.881534</td>\n",
       "      <td>2016</td>\n",
       "      <td>126</td>\n",
       "      <td>575.0</td>\n",
       "      <td>132.38</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2004.0</td>\n",
       "      <td>0.667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>71539.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>116.561978</td>\n",
       "      <td>39.877145</td>\n",
       "      <td>2016</td>\n",
       "      <td>48</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>198.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2005.0</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48160.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>0</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>116.438010</td>\n",
       "      <td>40.076114</td>\n",
       "      <td>2016</td>\n",
       "      <td>138</td>\n",
       "      <td>297.5</td>\n",
       "      <td>134.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0.273</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51238.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>116.428392</td>\n",
       "      <td>39.886229</td>\n",
       "      <td>2016</td>\n",
       "      <td>286</td>\n",
       "      <td>392.0</td>\n",
       "      <td>81.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>0.333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>62588.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Lng        Lat  tradeTime  ...  floor_type_未知  floor_type_顶  floor_type_高\n",
       "0  116.475489  40.019520       2016  ...              0             0             1\n",
       "1  116.453917  39.881534       2016  ...              0             0             1\n",
       "2  116.561978  39.877145       2016  ...              0             0             0\n",
       "3  116.438010  40.076114       2016  ...              0             0             0\n",
       "4  116.428392  39.886229       2016  ...              0             0             0\n",
       "\n",
       "[5 rows x 45 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "54ae3cdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(297990, 45)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f92a32e2",
   "metadata": {},
   "source": [
    "#### Save the updated data in CSV Format "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3a9fd00a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_csv(\"After_EDA.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e33563a5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "baf739dc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "921fa400",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41e2cfd1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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