eda_ml_model_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Predicting House Prices using Supervised Machine Learning with Scikit-Learn**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### About Dataset\n",
    "There's a story behind every dataset and here's your opportunity to share yours.\n",
    "Pakistan is the 5th most populous country and 33rd largest country. The real estate sector in Pakistan is one of the most expanding sector,, so it is of due importance to study the pricing of houses in different provinces, cities a and sectors of Pakistan to see what's the trend.\n",
    "\n",
    "The data was created between May 15, 2020, 6:13 AM (UTC-07:00) to April 4, 2021, 12:41 PM (UTC-07:00).\n",
    "\n",
    "Predictions can be achieved by different regression models!\n",
    "\n",
    "### Acknowledgements\n",
    "The data was web scraped by @huzzefakhan from Zameen.com using 'beautiful soup' python library. The dataset was originally uploaded on Open Data Pakistan (https://opendata.com.pk/dataset/property-data-for-pakistan). The author made a few changes (converting areas in marlas and kanals to cubic feet and dropping redundant columns) and reuploaded the dataset for easy usability."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pickle\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "house_data = pd.read_csv('./dataset/real_estate_data.csv', index_col=0, parse_dates=['date_added'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading dataset and performing EDA, Preporcessing etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>property_id</th>\n",
       "      <th>location_id</th>\n",
       "      <th>page_url</th>\n",
       "      <th>property_type</th>\n",
       "      <th>price</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>date_added</th>\n",
       "      <th>agency</th>\n",
       "      <th>agent</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237062</td>\n",
       "      <td>3325</td>\n",
       "      <td>https://www.zameen.com/Property/g_10_g_10_2_gr...</td>\n",
       "      <td>Flat</td>\n",
       "      <td>10000000</td>\n",
       "      <td>G-10</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Islamabad Capital</td>\n",
       "      <td>33.679890</td>\n",
       "      <td>73.012640</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>2019-02-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1089.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>346905</td>\n",
       "      <td>3236</td>\n",
       "      <td>https://www.zameen.com/Property/e_11_2_service...</td>\n",
       "      <td>Flat</td>\n",
       "      <td>6900000</td>\n",
       "      <td>E-11</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Islamabad Capital</td>\n",
       "      <td>33.700993</td>\n",
       "      <td>72.971492</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2019-05-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15246.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>386513</td>\n",
       "      <td>764</td>\n",
       "      <td>https://www.zameen.com/Property/islamabad_g_15...</td>\n",
       "      <td>House</td>\n",
       "      <td>16500000</td>\n",
       "      <td>G-15</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Islamabad Capital</td>\n",
       "      <td>33.631486</td>\n",
       "      <td>72.926559</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-07-17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2178.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>656161</td>\n",
       "      <td>340</td>\n",
       "      <td>https://www.zameen.com/Property/islamabad_bani...</td>\n",
       "      <td>House</td>\n",
       "      <td>43500000</td>\n",
       "      <td>Bani Gala</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Islamabad Capital</td>\n",
       "      <td>33.707573</td>\n",
       "      <td>73.151199</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>2019-04-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10890.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>841645</td>\n",
       "      <td>3226</td>\n",
       "      <td>https://www.zameen.com/Property/dha_valley_dha...</td>\n",
       "      <td>House</td>\n",
       "      <td>7000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Islamabad</td>\n",
       "      <td>Islamabad Capital</td>\n",
       "      <td>33.492591</td>\n",
       "      <td>73.301339</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2019-07-10</td>\n",
       "      <td>Easy Property</td>\n",
       "      <td>Muhammad Junaid Ceo Muhammad Shahid Director</td>\n",
       "      <td>2178.008</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   property_id  location_id  \\\n",
       "0       237062         3325   \n",
       "1       346905         3236   \n",
       "2       386513          764   \n",
       "3       656161          340   \n",
       "4       841645         3226   \n",
       "\n",
       "                                            page_url property_type     price  \\\n",
       "0  https://www.zameen.com/Property/g_10_g_10_2_gr...          Flat  10000000   \n",
       "1  https://www.zameen.com/Property/e_11_2_service...          Flat   6900000   \n",
       "2  https://www.zameen.com/Property/islamabad_g_15...         House  16500000   \n",
       "3  https://www.zameen.com/Property/islamabad_bani...         House  43500000   \n",
       "4  https://www.zameen.com/Property/dha_valley_dha...         House   7000000   \n",
       "\n",
       "      location       city      province_name   latitude  longitude  baths  \\\n",
       "0         G-10  Islamabad  Islamabad Capital  33.679890  73.012640      2   \n",
       "1         E-11  Islamabad  Islamabad Capital  33.700993  72.971492      3   \n",
       "2         G-15  Islamabad  Islamabad Capital  33.631486  72.926559      6   \n",
       "3    Bani Gala  Islamabad  Islamabad Capital  33.707573  73.151199      4   \n",
       "4  DHA Defence  Islamabad  Islamabad Capital  33.492591  73.301339      3   \n",
       "\n",
       "    purpose  bedrooms date_added         agency  \\\n",
       "0  For Sale         2 2019-02-04            NaN   \n",
       "1  For Sale         3 2019-05-04            NaN   \n",
       "2  For Sale         5 2019-07-17            NaN   \n",
       "3  For Sale         4 2019-04-05            NaN   \n",
       "4  For Sale         3 2019-07-10  Easy Property   \n",
       "\n",
       "                                          agent  Total_Area  \n",
       "0                                           NaN    1089.004  \n",
       "1                                           NaN   15246.056  \n",
       "2                                           NaN    2178.008  \n",
       "3                                           NaN   10890.000  \n",
       "4  Muhammad Junaid Ceo Muhammad Shahid Director    2178.008  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(168446, 17)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 168446 entries, 0 to 168445\n",
      "Data columns (total 17 columns):\n",
      " #   Column         Non-Null Count   Dtype         \n",
      "---  ------         --------------   -----         \n",
      " 0   property_id    168446 non-null  int64         \n",
      " 1   location_id    168446 non-null  int64         \n",
      " 2   page_url       168446 non-null  object        \n",
      " 3   property_type  168446 non-null  object        \n",
      " 4   price          168446 non-null  int64         \n",
      " 5   location       168446 non-null  object        \n",
      " 6   city           168446 non-null  object        \n",
      " 7   province_name  168446 non-null  object        \n",
      " 8   latitude       168446 non-null  float64       \n",
      " 9   longitude      168446 non-null  float64       \n",
      " 10  baths          168446 non-null  int64         \n",
      " 11  purpose        168446 non-null  object        \n",
      " 12  bedrooms       168446 non-null  int64         \n",
      " 13  date_added     168446 non-null  datetime64[ns]\n",
      " 14  agency         124375 non-null  object        \n",
      " 15  agent          124374 non-null  object        \n",
      " 16  Total_Area     168446 non-null  float64       \n",
      "dtypes: datetime64[ns](1), float64(3), int64(5), object(8)\n",
      "memory usage: 23.1+ MB\n"
     ]
    }
   ],
   "source": [
    "house_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Checking for null values and duplicates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "property_id          0\n",
       "location_id          0\n",
       "page_url             0\n",
       "property_type        0\n",
       "price                0\n",
       "location             0\n",
       "city                 0\n",
       "province_name        0\n",
       "latitude             0\n",
       "longitude            0\n",
       "baths                0\n",
       "purpose              0\n",
       "bedrooms             0\n",
       "date_added           0\n",
       "agency           44071\n",
       "agent            44072\n",
       "Total_Area           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dropping redundant columns and with high null values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "house_data.drop(columns=['agency', 'agent', 'property_id', 'location_id', 'page_url', 'latitude', 'longitude', 'date_added'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary stats for continous variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>price</th>\n",
       "      <th>baths</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.684460e+05</td>\n",
       "      <td>168446.000000</td>\n",
       "      <td>168446.000000</td>\n",
       "      <td>1.684460e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.776576e+07</td>\n",
       "      <td>2.874227</td>\n",
       "      <td>3.179422</td>\n",
       "      <td>1.394239e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.531003e+07</td>\n",
       "      <td>2.463400</td>\n",
       "      <td>1.971401</td>\n",
       "      <td>8.623647e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.750000e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.905757e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.500000e+06</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.356016e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.950000e+07</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.197904e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.000000e+09</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>3.387988e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              price          baths       bedrooms    Total_Area\n",
       "count  1.684460e+05  168446.000000  168446.000000  1.684460e+05\n",
       "mean   1.776576e+07       2.874227       3.179422  1.394239e+04\n",
       "std    3.531003e+07       2.463400       1.971401  8.623647e+05\n",
       "min    0.000000e+00       0.000000       0.000000  0.000000e+00\n",
       "25%    1.750000e+05       0.000000       2.000000  1.905757e+03\n",
       "50%    8.500000e+06       3.000000       3.000000  4.356016e+03\n",
       "75%    1.950000e+07       4.000000       4.000000  1.197904e+04\n",
       "max    2.000000e+09     403.000000      68.000000  3.387988e+08"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary stats for categorical variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>property_type</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>purpose</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>168446</td>\n",
       "      <td>168446</td>\n",
       "      <td>168446</td>\n",
       "      <td>168446</td>\n",
       "      <td>168446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>7</td>\n",
       "      <td>1509</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>House</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>For Sale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>105468</td>\n",
       "      <td>22046</td>\n",
       "      <td>60484</td>\n",
       "      <td>70536</td>\n",
       "      <td>120655</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type     location     city province_name   purpose\n",
       "count         168446       168446   168446        168446    168446\n",
       "unique             7         1509        5             3         2\n",
       "top            House  DHA Defence  Karachi        Punjab  For Sale\n",
       "freq          105468        22046    60484         70536    120655"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data.describe(include='object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Flat' 'House' 'Penthouse' 'Farm House' 'Lower Portion' 'Upper Portion'\n",
      " 'Room']\n",
      "['G-10' 'E-11' 'G-15' ... 'Samanzar Colony' 'Shahra-e-Liaquat' 'Sundar']\n",
      "['Islamabad' 'Lahore' 'Faisalabad' 'Rawalpindi' 'Karachi']\n",
      "['Islamabad Capital' 'Punjab' 'Sindh']\n",
      "['For Sale' 'For Rent']\n"
     ]
    }
   ],
   "source": [
    "for col in house_data.describe(include='object').columns:\n",
    "    print(house_data[col].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>property_type</th>\n",
       "      <th>price</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>House</td>\n",
       "      <td>220000000</td>\n",
       "      <td>Model Town</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>32670.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>House</td>\n",
       "      <td>40000000</td>\n",
       "      <td>Multan Road</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>5445.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>House</td>\n",
       "      <td>9500000</td>\n",
       "      <td>Eden</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2450.259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>House</td>\n",
       "      <td>125000000</td>\n",
       "      <td>Gulberg</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>5445.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>House</td>\n",
       "      <td>21000000</td>\n",
       "      <td>Allama Iqbal Town</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>2994.761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168426</th>\n",
       "      <td>House</td>\n",
       "      <td>44000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>5445.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168427</th>\n",
       "      <td>House</td>\n",
       "      <td>55000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>5445.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168428</th>\n",
       "      <td>House</td>\n",
       "      <td>20500000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2722.510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168429</th>\n",
       "      <td>House</td>\n",
       "      <td>170000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>10890.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168430</th>\n",
       "      <td>House</td>\n",
       "      <td>42500000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Lahore</td>\n",
       "      <td>Punjab</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>5445.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70536 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type      price           location    city province_name  \\\n",
       "47             House  220000000         Model Town  Lahore        Punjab   \n",
       "48             House   40000000        Multan Road  Lahore        Punjab   \n",
       "49             House    9500000               Eden  Lahore        Punjab   \n",
       "50             House  125000000            Gulberg  Lahore        Punjab   \n",
       "51             House   21000000  Allama Iqbal Town  Lahore        Punjab   \n",
       "...              ...        ...                ...     ...           ...   \n",
       "168426         House   44000000        DHA Defence  Lahore        Punjab   \n",
       "168427         House   55000000        DHA Defence  Lahore        Punjab   \n",
       "168428         House   20500000        DHA Defence  Lahore        Punjab   \n",
       "168429         House  170000000        DHA Defence  Lahore        Punjab   \n",
       "168430         House   42500000        DHA Defence  Lahore        Punjab   \n",
       "\n",
       "        baths   purpose  bedrooms  Total_Area  \n",
       "47          0  For Sale         0   32670.000  \n",
       "48          5  For Sale         5    5445.000  \n",
       "49          0  For Sale         3    2450.259  \n",
       "50          7  For Sale         8    5445.000  \n",
       "51          5  For Sale         6    2994.761  \n",
       "...       ...       ...       ...         ...  \n",
       "168426      7  For Sale         6    5445.000  \n",
       "168427      6  For Sale         5    5445.000  \n",
       "168428      4  For Sale         3    2722.510  \n",
       "168429      5  For Sale         5   10890.000  \n",
       "168430      6  For Sale         5    5445.000  \n",
       "\n",
       "[70536 rows x 9 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data[house_data['province_name'] == 'Punjab']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>property_type</th>\n",
       "      <th>price</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>House</td>\n",
       "      <td>450000000</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>House</td>\n",
       "      <td>35000000</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Flat</td>\n",
       "      <td>21000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>House</td>\n",
       "      <td>6500000</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>House</td>\n",
       "      <td>13000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168441</th>\n",
       "      <td>House</td>\n",
       "      <td>26500000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168442</th>\n",
       "      <td>House</td>\n",
       "      <td>12500000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168443</th>\n",
       "      <td>House</td>\n",
       "      <td>27000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168444</th>\n",
       "      <td>House</td>\n",
       "      <td>11000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168445</th>\n",
       "      <td>House</td>\n",
       "      <td>9000000</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60484 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type      price             location     city province_name  \\\n",
       "156            House  450000000                Cantt  Karachi         Sindh   \n",
       "157            House   35000000    Gulistan-e-Jauhar  Karachi         Sindh   \n",
       "158             Flat   21000000          DHA Defence  Karachi         Sindh   \n",
       "159            House    6500000                Malir  Karachi         Sindh   \n",
       "160            House   13000000           Gadap Town  Karachi         Sindh   \n",
       "...              ...        ...                  ...      ...           ...   \n",
       "168441         House   26500000           Gadap Town  Karachi         Sindh   \n",
       "168442         House   12500000           Gadap Town  Karachi         Sindh   \n",
       "168443         House   27000000           Gadap Town  Karachi         Sindh   \n",
       "168444         House   11000000           Gadap Town  Karachi         Sindh   \n",
       "168445         House    9000000  Bahria Town Karachi  Karachi         Sindh   \n",
       "\n",
       "        baths   purpose  bedrooms  Total_Area  \n",
       "156         7  For Sale         6   21780.000  \n",
       "157         8  For Sale         6    4356.016  \n",
       "158         3  For Sale         3   24230.339  \n",
       "159         1  For Sale         2    8712.032  \n",
       "160         4  For Sale         4   26136.096  \n",
       "...       ...       ...       ...         ...  \n",
       "168441      0  For Sale         6   26136.096  \n",
       "168442      0  For Sale         3    2178.008  \n",
       "168443      0  For Sale         6   26136.096  \n",
       "168444      0  For Sale         3   21235.578  \n",
       "168445      3  For Sale         3   25591.594  \n",
       "\n",
       "[60484 rows x 9 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house_data[house_data['city'] == 'Karachi']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1509"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(house_data.location.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subsetting the dataset for limiting to Karachi Only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = house_data[house_data['city'] == 'Karachi']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['property_type', 'price', 'location', 'city', 'province_name', 'baths',\n",
       "       'purpose', 'bedrooms', 'Total_Area'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Locations in Karachi:  203\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['Cantt', 'Gulistan-e-Jauhar', 'DHA Defence', 'Malir', 'Gadap Town',\n",
       "       'Gulshan-e-Iqbal Town', 'Scheme 33', 'Bath Island',\n",
       "       'Abul Hassan Isphani Road', 'Nazimabad', 'Falcon Complex Faisal',\n",
       "       'Shahra-e-Faisal', 'Gizri', 'Saddar Town', 'Federal B Area',\n",
       "       'North Karachi', 'Navy Housing Scheme Karsaz', 'Jamshed Town',\n",
       "       'Bahria Town Karachi', 'Jinnah Avenue', 'PAF Housing Scheme',\n",
       "       'North Nazimabad', 'Clifton', 'Northern Bypass',\n",
       "       'Fazaia Housing Scheme', 'New Karachi', 'Khalid Bin Walid Road',\n",
       "       'Shaheed Millat Road', 'Anda Mor Road', 'Lyari Town',\n",
       "       'Defence View Society', 'P & T Colony', 'Sea View Apartments',\n",
       "       'Tariq Road', 'Baldia Town', 'Zamzama',\n",
       "       'Gulshan-e-Usman Housing Society', 'Liaquatabad', 'Garden West',\n",
       "       'Gulberg Town', 'Chapal Uptown', 'Baloch Colony', 'Manzoor Colony',\n",
       "       'Aisha Manzil', 'Delhi Colony', 'Airport', 'Jamshed Road',\n",
       "       'University Road', 'Shah Faisal Town', 'Civil Lines', 'Abid Town',\n",
       "       'Falaknaz Presidency', 'Bin Qasim Town', 'Korangi', 'Hill Park',\n",
       "       'Malir Link To Super Highway', 'Ranchore Line Bazar',\n",
       "       'M. A. Jinnah Road', 'Super Highway', 'Shahra-e-Qaideen',\n",
       "       'Azam Town', 'Saima Luxury Homes', 'Rabia City', 'Mehmoodabad',\n",
       "       'Hub River Road', 'Suparco Road', 'Rufi Rose Petals',\n",
       "       'Punjab Chowrangi', 'Khaliq-uz-Zaman Road', 'Lyari Expressway',\n",
       "       'Orangi Town', 'Gulshan-e-Areesha',\n",
       "       'Javed Bahria Coopretive Housing Society', 'Landhi',\n",
       "       'Kashmir Road', 'ASF Tower', 'Dastgir Colony',\n",
       "       'Rashid Minhas Road', 'Khayaban-e-Ittehad Road',\n",
       "       'Dalmia Cement Factory Road', 'Defence Garden',\n",
       "       'Sindh Industrial Trading Estate (SITE)', 'Britto Road',\n",
       "       'Naya Nazimabad', 'KDA Scheme 1', 'Saadi Road', 'Karachi Motorway',\n",
       "       'Tipu Sultan Road', 'Gulshan-e-Amin', 'Manghopir Road', 'Golimar',\n",
       "       'Shah Rasool Colony', 'Nishtar Road (Lawrence Road)',\n",
       "       'Al-Hilal Society', 'National Highway', 'Maqboolabad Society',\n",
       "       'Frere Town', 'Falaknaz Dynasty', 'Etawa Society',\n",
       "       'Cosmopolitan Society', 'Liaquat Avenue', 'MT Khan Road',\n",
       "       'Dr Daud Pota Road', 'DHA City Karachi',\n",
       "       'Surti Muslim Co-Operative Housing Society', 'ASF Housing Scheme',\n",
       "       'Muslimabad Society', 'Bilal Town',\n",
       "       'Cotton Export Cooperative Housing Society',\n",
       "       'Naval Housing Scheme', 'Maskan Chowrangi', 'Khuda Ki Basti',\n",
       "       'Shaheed-e-Millat Expressway', 'Hawks Bay Scheme 42',\n",
       "       'Kamran Chowrangi', 'Gizri Road', 'Peoples Colony',\n",
       "       'Abdullah Haroon Road', 'Kashmir Colony', 'Shadman 2',\n",
       "       'Korangi Road', 'Scheme 45', 'Amir Khusro',\n",
       "       'Sakhi Hassan Chowrangi', 'Naval Colony', 'Kemari Town', 'BMCHS',\n",
       "       'Punjab Colony', 'Lines Area', 'Lalukhet',\n",
       "       'Cutchi Memon Cooperative Housing Society', 'Abdullah Ahmed Road',\n",
       "       'Shah Town', 'Pakistan Chowk', 'Rufi Lake Drive Apartments',\n",
       "       'Gobal Town', 'Guru Mandir Chorangi', 'Teacher Society',\n",
       "       'Amil Colony', 'Old Queens Road', 'Khudadad Colony', 'Qayyumabad',\n",
       "       'Stadium Road', 'PTV Society', 'Times Residency',\n",
       "       'Teachers Society', 'Gulshan-e-Umair', 'Mauripur Road',\n",
       "       'Malir Housing Scheme 1', 'Old Clifton', 'I. I. Chundrigar Road',\n",
       "       'Chapal Courtyard', 'circular road', 'Al-Safaa Garden',\n",
       "       'Intelligence Colony', 'Shahrah-e-Pakistan',\n",
       "       'State Bank of Pakistan Staff Co-Operative Housing Society',\n",
       "       'Shahra-e-Usman', 'Numaish Chowrangi', 'Gujjar Chowk',\n",
       "       'Ahsan Grand City', 'Al-Manzar Society', 'Royal Defence Tower',\n",
       "       'Siraj-ud-Daula Road', 'Chapal Skymark', 'Gulshan-e-Jami',\n",
       "       'Gadap Road', 'Gulshan-E-Faisal',\n",
       "       'APP Employees Co-operative Housing Society', 'Gulshan-e-Malir',\n",
       "       'Laraib Garden', 'PIDC', 'Sher Shah Suri Road', 'Diamond City',\n",
       "       'Catholic Colony', 'Nooriabad',\n",
       "       'Old Ravians Co-Operative Housing Society', 'Police Society',\n",
       "       'Altaf Hussain Road', 'Al-Jadeed Residency', 'Gulshan-e-Millat',\n",
       "       'Bagh-e-Korangi', 'Beaumont Road', 'Tahir Villa', 'Hassan Goth',\n",
       "       'Karachi, Sindh', 'Hoshang Road', 'Goth Ibrahim Haidri',\n",
       "       'Darul Aman Society', 'Dhabeji', 'Allama Iqbal Town',\n",
       "       'Blue Bell Residency', 'Gulistan-e-Malir', 'Shahra-e-Jahangir',\n",
       "       'Erum Villas', 'Humaira Town', 'Gulshan-e-Ghazian',\n",
       "       'Jamaluddin Afghani Road', 'Damba', 'Karachi Golf City', 'Others',\n",
       "       'Mangopir', 'Shahra-e-Liaquat'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Locations in Karachi: ', len(karachi_house_data.location.unique()))\n",
    "karachi_house_data.location.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>property_type</th>\n",
       "      <th>price</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>House</td>\n",
       "      <td>450000000</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>House</td>\n",
       "      <td>35000000</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Flat</td>\n",
       "      <td>21000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>House</td>\n",
       "      <td>6500000</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>House</td>\n",
       "      <td>13000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168441</th>\n",
       "      <td>House</td>\n",
       "      <td>26500000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168442</th>\n",
       "      <td>House</td>\n",
       "      <td>12500000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168443</th>\n",
       "      <td>House</td>\n",
       "      <td>27000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168444</th>\n",
       "      <td>House</td>\n",
       "      <td>11000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168445</th>\n",
       "      <td>House</td>\n",
       "      <td>9000000</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60484 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type      price             location     city province_name  \\\n",
       "156            House  450000000                Cantt  Karachi         Sindh   \n",
       "157            House   35000000    Gulistan-e-Jauhar  Karachi         Sindh   \n",
       "158             Flat   21000000          DHA Defence  Karachi         Sindh   \n",
       "159            House    6500000                Malir  Karachi         Sindh   \n",
       "160            House   13000000           Gadap Town  Karachi         Sindh   \n",
       "...              ...        ...                  ...      ...           ...   \n",
       "168441         House   26500000           Gadap Town  Karachi         Sindh   \n",
       "168442         House   12500000           Gadap Town  Karachi         Sindh   \n",
       "168443         House   27000000           Gadap Town  Karachi         Sindh   \n",
       "168444         House   11000000           Gadap Town  Karachi         Sindh   \n",
       "168445         House    9000000  Bahria Town Karachi  Karachi         Sindh   \n",
       "\n",
       "        baths   purpose  bedrooms  Total_Area  \n",
       "156         7  For Sale         6   21780.000  \n",
       "157         8  For Sale         6    4356.016  \n",
       "158         3  For Sale         3   24230.339  \n",
       "159         1  For Sale         2    8712.032  \n",
       "160         4  For Sale         4   26136.096  \n",
       "...       ...       ...       ...         ...  \n",
       "168441      0  For Sale         6   26136.096  \n",
       "168442      0  For Sale         3    2178.008  \n",
       "168443      0  For Sale         6   26136.096  \n",
       "168444      0  For Sale         3   21235.578  \n",
       "168445      3  For Sale         3   25591.594  \n",
       "\n",
       "[60484 rows x 9 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outlier Check and Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>price</th>\n",
       "      <th>baths</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6.048400e+04</td>\n",
       "      <td>60484.000000</td>\n",
       "      <td>60484.000000</td>\n",
       "      <td>6.048400e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.983883e+07</td>\n",
       "      <td>2.632283</td>\n",
       "      <td>3.045103</td>\n",
       "      <td>1.358089e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.830393e+07</td>\n",
       "      <td>1.931710</td>\n",
       "      <td>1.781785</td>\n",
       "      <td>2.328377e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.400000e+06</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.811514e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.500000e+06</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.143454e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.850000e+07</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.579056e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.450000e+09</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>3.267000e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              price         baths      bedrooms    Total_Area\n",
       "count  6.048400e+04  60484.000000  60484.000000  6.048400e+04\n",
       "mean   1.983883e+07      2.632283      3.045103  1.358089e+04\n",
       "std    3.830393e+07      1.931710      1.781785  2.328377e+04\n",
       "min    0.000000e+00      0.000000      0.000000  0.000000e+00\n",
       "25%    2.400000e+06      2.000000      2.000000  3.811514e+03\n",
       "50%    8.500000e+06      3.000000      3.000000  1.143454e+04\n",
       "75%    1.850000e+07      3.000000      4.000000  1.579056e+04\n",
       "max    1.450000e+09     13.000000     68.000000  3.267000e+06"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>property_type</th>\n",
       "      <th>price</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>Total_Area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>House</td>\n",
       "      <td>450000000</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>House</td>\n",
       "      <td>35000000</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Flat</td>\n",
       "      <td>21000000</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>House</td>\n",
       "      <td>6500000</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>House</td>\n",
       "      <td>13000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168441</th>\n",
       "      <td>House</td>\n",
       "      <td>26500000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168442</th>\n",
       "      <td>House</td>\n",
       "      <td>12500000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168443</th>\n",
       "      <td>House</td>\n",
       "      <td>27000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168444</th>\n",
       "      <td>House</td>\n",
       "      <td>11000000</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168445</th>\n",
       "      <td>House</td>\n",
       "      <td>9000000</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60484 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type      price             location     city province_name  \\\n",
       "156            House  450000000                Cantt  Karachi         Sindh   \n",
       "157            House   35000000    Gulistan-e-Jauhar  Karachi         Sindh   \n",
       "158             Flat   21000000          DHA Defence  Karachi         Sindh   \n",
       "159            House    6500000                Malir  Karachi         Sindh   \n",
       "160            House   13000000           Gadap Town  Karachi         Sindh   \n",
       "...              ...        ...                  ...      ...           ...   \n",
       "168441         House   26500000           Gadap Town  Karachi         Sindh   \n",
       "168442         House   12500000           Gadap Town  Karachi         Sindh   \n",
       "168443         House   27000000           Gadap Town  Karachi         Sindh   \n",
       "168444         House   11000000           Gadap Town  Karachi         Sindh   \n",
       "168445         House    9000000  Bahria Town Karachi  Karachi         Sindh   \n",
       "\n",
       "        baths   purpose  bedrooms  Total_Area  \n",
       "156         7  For Sale         6   21780.000  \n",
       "157         8  For Sale         6    4356.016  \n",
       "158         3  For Sale         3   24230.339  \n",
       "159         1  For Sale         2    8712.032  \n",
       "160         4  For Sale         4   26136.096  \n",
       "...       ...       ...       ...         ...  \n",
       "168441      0  For Sale         6   26136.096  \n",
       "168442      0  For Sale         3    2178.008  \n",
       "168443      0  For Sale         6   26136.096  \n",
       "168444      0  For Sale         3   21235.578  \n",
       "168445      3  For Sale         3   25591.594  \n",
       "\n",
       "[60484 rows x 9 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\2088414551.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data.rename(columns={'Total_Area': 'sq_ft'}, inplace=True)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data.rename(columns={'Total_Area': 'sq_ft'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Converting price into lakhs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\354572982.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data['price'] = round(karachi_house_data['price']/100000,2)\n",
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\354572982.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data.rename(columns={'price': 'price_in_lakh'}, inplace=True)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data['price'] = round(karachi_house_data['price']/100000,2)\n",
    "karachi_house_data.rename(columns={'price': 'price_in_lakh'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Deriving a variable for square yards from square feets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\1279084833.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data['sq_ft'] = round(karachi_house_data['sq_ft'],2)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data['sq_ft'] = round(karachi_house_data['sq_ft'],2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60479</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60480</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60481</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60482</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60483</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>60484 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location     city  \\\n",
       "0             House         4500.0                Cantt  Karachi   \n",
       "1             House          350.0    Gulistan-e-Jauhar  Karachi   \n",
       "2              Flat          210.0          DHA Defence  Karachi   \n",
       "3             House           65.0                Malir  Karachi   \n",
       "4             House          130.0           Gadap Town  Karachi   \n",
       "...             ...            ...                  ...      ...   \n",
       "60479         House          265.0           Gadap Town  Karachi   \n",
       "60480         House          125.0           Gadap Town  Karachi   \n",
       "60481         House          270.0           Gadap Town  Karachi   \n",
       "60482         House          110.0           Gadap Town  Karachi   \n",
       "60483         House           90.0  Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  \n",
       "0             Sindh      7  For Sale         6  21780.00  \n",
       "1             Sindh      8  For Sale         6   4356.02  \n",
       "2             Sindh      3  For Sale         3  24230.34  \n",
       "3             Sindh      1  For Sale         2   8712.03  \n",
       "4             Sindh      4  For Sale         4  26136.10  \n",
       "...             ...    ...       ...       ...       ...  \n",
       "60479         Sindh      0  For Sale         6  26136.10  \n",
       "60480         Sindh      0  For Sale         3   2178.01  \n",
       "60481         Sindh      0  For Sale         6  26136.10  \n",
       "60482         Sindh      0  For Sale         3  21235.58  \n",
       "60483         Sindh      3  For Sale         3  25591.59  \n",
       "\n",
       "[60484 rows x 9 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\3500174800.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data['sq_yards'] = round(karachi_house_data['sq_ft']/9,2)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data['sq_yards'] = round(karachi_house_data['sq_ft']/9,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  property_type  price_in_lakh           location     city province_name  \\\n",
       "0         House         4500.0              Cantt  Karachi         Sindh   \n",
       "1         House          350.0  Gulistan-e-Jauhar  Karachi         Sindh   \n",
       "2          Flat          210.0        DHA Defence  Karachi         Sindh   \n",
       "3         House           65.0              Malir  Karachi         Sindh   \n",
       "4         House          130.0         Gadap Town  Karachi         Sindh   \n",
       "\n",
       "   baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0      7  For Sale         6  21780.00   2420.00  \n",
       "1      8  For Sale         6   4356.02    484.00  \n",
       "2      3  For Sale         3  24230.34   2692.26  \n",
       "3      1  For Sale         2   8712.03    968.00  \n",
       "4      4  For Sale         4  26136.10   2904.01  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "karachi_house_data['baths'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "karachi_house_data['bedrooms'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='bedrooms'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=karachi_house_data, x='bedrooms')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Flat</td>\n",
       "      <td>295.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Flat</td>\n",
       "      <td>300.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Flat</td>\n",
       "      <td>375.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>35664.88</td>\n",
       "      <td>3962.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Flat</td>\n",
       "      <td>450.0</td>\n",
       "      <td>Bath Island</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Flat</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>14701.55</td>\n",
       "      <td>1633.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60478</th>\n",
       "      <td>Flat</td>\n",
       "      <td>48.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>10345.54</td>\n",
       "      <td>1149.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60479</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60480</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60481</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60482</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12727 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "12             Flat          295.0                 Cantt  Karachi   \n",
       "13             Flat          300.0                 Cantt  Karachi   \n",
       "14             Flat          375.0                 Cantt  Karachi   \n",
       "15             Flat          450.0           Bath Island  Karachi   \n",
       "18             Flat           50.0  Gulshan-e-Iqbal Town  Karachi   \n",
       "...             ...            ...                   ...      ...   \n",
       "60478          Flat           48.0            Gadap Town  Karachi   \n",
       "60479         House          265.0            Gadap Town  Karachi   \n",
       "60480         House          125.0            Gadap Town  Karachi   \n",
       "60481         House          270.0            Gadap Town  Karachi   \n",
       "60482         House          110.0            Gadap Town  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "12            Sindh      0  For Sale         3  31036.61   3448.51  \n",
       "13            Sindh      0  For Sale         3  31036.61   3448.51  \n",
       "14            Sindh      0  For Sale         4  35664.88   3962.76  \n",
       "15            Sindh      0  For Sale         3  24230.34   2692.26  \n",
       "18            Sindh      0  For Sale         2  14701.55   1633.51  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "60478         Sindh      0  For Sale         2  10345.54   1149.50  \n",
       "60479         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "60480         Sindh      0  For Sale         3   2178.01    242.00  \n",
       "60481         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "60482         Sindh      0  For Sale         3  21235.58   2359.51  \n",
       "\n",
       "[12727 rows x 10 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['baths'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bedrooms\n",
       "3     21101\n",
       "2     16064\n",
       "4      7036\n",
       "0      5633\n",
       "6      4434\n",
       "5      3461\n",
       "1       842\n",
       "7       744\n",
       "8       562\n",
       "9       232\n",
       "10      183\n",
       "11      172\n",
       "12       10\n",
       "15        3\n",
       "14        2\n",
       "25        2\n",
       "13        1\n",
       "16        1\n",
       "68        1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['bedrooms'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking houses with more than 16 bedrooms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50937</th>\n",
       "      <td>House</td>\n",
       "      <td>25.0</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>68</td>\n",
       "      <td>359370.0</td>\n",
       "      <td>39930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52091</th>\n",
       "      <td>House</td>\n",
       "      <td>5.5</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>25</td>\n",
       "      <td>16335.0</td>\n",
       "      <td>1815.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55055</th>\n",
       "      <td>House</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>25</td>\n",
       "      <td>16335.0</td>\n",
       "      <td>1815.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "50937         House           25.0       North Nazimabad  Karachi   \n",
       "52091         House            5.5          Jamshed Town  Karachi   \n",
       "55055         House            9.0  Gulshan-e-Iqbal Town  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "50937         Sindh      0  For Rent        68  359370.0   39930.0  \n",
       "52091         Sindh      0  For Rent        25   16335.0    1815.0  \n",
       "55055         Sindh      0  For Rent        25   16335.0    1815.0  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['bedrooms'] > 16]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60481, 10)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['bedrooms'] > 16)]\n",
    "karachi_house_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [property_type, price_in_lakh, location, city, province_name, baths, purpose, bedrooms, sq_ft, sq_yards]\n",
       "Index: []"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['bedrooms'] > 16]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(3.043302855442205)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['bedrooms'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.0)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['sq_ft'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10694</th>\n",
       "      <td>House</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh location     city province_name  baths  \\\n",
       "10694         House           44.0    Malir  Karachi         Sindh      2   \n",
       "\n",
       "        purpose  bedrooms  sq_ft  sq_yards  \n",
       "10694  For Sale         2    0.0       0.0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['sq_ft'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['sq_ft'] == 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>House</td>\n",
       "      <td>725.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.08</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>0</td>\n",
       "      <td>2994.76</td>\n",
       "      <td>332.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>House</td>\n",
       "      <td>145.00</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>House</td>\n",
       "      <td>1550.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>70785.00</td>\n",
       "      <td>7865.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>Lower Portion</td>\n",
       "      <td>0.80</td>\n",
       "      <td>Navy Housing Scheme Karsaz</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>0</td>\n",
       "      <td>3811.51</td>\n",
       "      <td>423.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60427</th>\n",
       "      <td>House</td>\n",
       "      <td>295.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>25319.34</td>\n",
       "      <td>2813.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60428</th>\n",
       "      <td>House</td>\n",
       "      <td>475.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>47916.18</td>\n",
       "      <td>5324.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60462</th>\n",
       "      <td>House</td>\n",
       "      <td>290.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>25319.34</td>\n",
       "      <td>2813.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60464</th>\n",
       "      <td>House</td>\n",
       "      <td>2500.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60466</th>\n",
       "      <td>Farm House</td>\n",
       "      <td>450.00</td>\n",
       "      <td>Super Highway</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>217800.00</td>\n",
       "      <td>24200.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5381 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh                    location     city  \\\n",
       "45             House         725.00        Gulshan-e-Iqbal Town  Karachi   \n",
       "61              Room           0.08        Gulshan-e-Iqbal Town  Karachi   \n",
       "181            House         145.00                   Scheme 33  Karachi   \n",
       "200            House        1550.00                 DHA Defence  Karachi   \n",
       "211    Lower Portion           0.80  Navy Housing Scheme Karsaz  Karachi   \n",
       "...              ...            ...                         ...      ...   \n",
       "60427          House         295.00             North Nazimabad  Karachi   \n",
       "60428          House         475.00             North Nazimabad  Karachi   \n",
       "60462          House         290.00             North Nazimabad  Karachi   \n",
       "60464          House        2500.00             North Nazimabad  Karachi   \n",
       "60466     Farm House         450.00               Super Highway  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms      sq_ft  sq_yards  \n",
       "45            Sindh      0  For Sale         0   65340.00   7260.00  \n",
       "61            Sindh      0  For Rent         0    2994.76    332.75  \n",
       "181           Sindh      0  For Sale         0    4356.02    484.00  \n",
       "200           Sindh      0  For Sale         0   70785.00   7865.00  \n",
       "211           Sindh      0  For Rent         0    3811.51    423.50  \n",
       "...             ...    ...       ...       ...        ...       ...  \n",
       "60427         Sindh      0  For Sale         0   25319.34   2813.26  \n",
       "60428         Sindh      0  For Sale         0   47916.18   5324.02  \n",
       "60462         Sindh      0  For Sale         0   25319.34   2813.26  \n",
       "60464         Sindh      0  For Sale         0   21780.00   2420.00  \n",
       "60466         Sindh      0  For Sale         0  217800.00  24200.00  \n",
       "\n",
       "[5381 rows x 10 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['baths'] == 0) & (karachi_house_data['bedrooms'] == 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(55099, 10)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data = karachi_house_data[~((karachi_house_data['baths'] == 0) & (karachi_house_data['bedrooms'] == 0))]\n",
    "karachi_house_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55098</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>55099 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location     city  \\\n",
       "0             House         4500.0                Cantt  Karachi   \n",
       "1             House          350.0    Gulistan-e-Jauhar  Karachi   \n",
       "2              Flat          210.0          DHA Defence  Karachi   \n",
       "3             House           65.0                Malir  Karachi   \n",
       "4             House          130.0           Gadap Town  Karachi   \n",
       "...             ...            ...                  ...      ...   \n",
       "55094         House          265.0           Gadap Town  Karachi   \n",
       "55095         House          125.0           Gadap Town  Karachi   \n",
       "55096         House          270.0           Gadap Town  Karachi   \n",
       "55097         House          110.0           Gadap Town  Karachi   \n",
       "55098         House           90.0  Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0             Sindh      7  For Sale         6  21780.00   2420.00  \n",
       "1             Sindh      8  For Sale         6   4356.02    484.00  \n",
       "2             Sindh      3  For Sale         3  24230.34   2692.26  \n",
       "3             Sindh      1  For Sale         2   8712.03    968.00  \n",
       "4             Sindh      4  For Sale         4  26136.10   2904.01  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55094         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55095         Sindh      0  For Sale         3   2178.01    242.00  \n",
       "55096         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55097         Sindh      0  For Sale         3  21235.58   2359.51  \n",
       "55098         Sindh      3  For Sale         3  25591.59   2843.51  \n",
       "\n",
       "[55099 rows x 10 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>price_in_lakh</th>\n",
       "      <th>baths</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>55099.000000</td>\n",
       "      <td>55099.000000</td>\n",
       "      <td>55099.000000</td>\n",
       "      <td>55099.000000</td>\n",
       "      <td>55099.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>197.170152</td>\n",
       "      <td>2.889508</td>\n",
       "      <td>3.340532</td>\n",
       "      <td>13319.100544</td>\n",
       "      <td>1479.899857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>382.234890</td>\n",
       "      <td>1.831109</td>\n",
       "      <td>1.548575</td>\n",
       "      <td>17475.379672</td>\n",
       "      <td>1941.709158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>272.250000</td>\n",
       "      <td>30.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3267.010000</td>\n",
       "      <td>363.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>85.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>11434.540000</td>\n",
       "      <td>1270.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>180.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>15790.560000</td>\n",
       "      <td>1754.510000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>14500.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>952875.000000</td>\n",
       "      <td>105875.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       price_in_lakh         baths      bedrooms          sq_ft       sq_yards\n",
       "count   55099.000000  55099.000000  55099.000000   55099.000000   55099.000000\n",
       "mean      197.170152      2.889508      3.340532   13319.100544    1479.899857\n",
       "std       382.234890      1.831109      1.548575   17475.379672    1941.709158\n",
       "min         0.000000      0.000000      0.000000     272.250000      30.250000\n",
       "25%        22.000000      2.000000      2.000000    3267.010000     363.000000\n",
       "50%        85.000000      3.000000      3.000000   11434.540000    1270.500000\n",
       "75%       180.000000      4.000000      4.000000   15790.560000    1754.510000\n",
       "max     14500.000000     13.000000     16.000000  952875.000000  105875.000000"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>House</td>\n",
       "      <td>915.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>65340.0</td>\n",
       "      <td>7260.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>House</td>\n",
       "      <td>1200.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>65340.0</td>\n",
       "      <td>7260.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>House</td>\n",
       "      <td>2.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>6</td>\n",
       "      <td>65340.0</td>\n",
       "      <td>7260.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>House</td>\n",
       "      <td>950.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>7</td>\n",
       "      <td>59895.0</td>\n",
       "      <td>6655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>House</td>\n",
       "      <td>850.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>59895.0</td>\n",
       "      <td>6655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55023</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>3</td>\n",
       "      <td>185130.0</td>\n",
       "      <td>20570.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55066</th>\n",
       "      <td>Flat</td>\n",
       "      <td>300.00</td>\n",
       "      <td>Shaheed Millat Road</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>174240.0</td>\n",
       "      <td>19360.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55068</th>\n",
       "      <td>House</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>59895.0</td>\n",
       "      <td>6655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55072</th>\n",
       "      <td>Flat</td>\n",
       "      <td>325.00</td>\n",
       "      <td>Khalid Bin Walid Road</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>294030.0</td>\n",
       "      <td>32670.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55081</th>\n",
       "      <td>House</td>\n",
       "      <td>700.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>65340.0</td>\n",
       "      <td>7260.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2003 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh               location     city  \\\n",
       "40            House         915.00            DHA Defence  Karachi   \n",
       "47            House        1200.00   Gulshan-e-Iqbal Town  Karachi   \n",
       "51            House           2.00            DHA Defence  Karachi   \n",
       "72            House         950.00                  Cantt  Karachi   \n",
       "79            House         850.00                  Cantt  Karachi   \n",
       "...             ...            ...                    ...      ...   \n",
       "55023          Flat           0.38    Bahria Town Karachi  Karachi   \n",
       "55066          Flat         300.00    Shaheed Millat Road  Karachi   \n",
       "55068         House        1400.00   Gulshan-e-Iqbal Town  Karachi   \n",
       "55072          Flat         325.00  Khalid Bin Walid Road  Karachi   \n",
       "55081         House         700.00        North Nazimabad  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "40            Sindh      6  For Sale         5   65340.0    7260.0  \n",
       "47            Sindh      6  For Sale         6   65340.0    7260.0  \n",
       "51            Sindh      0  For Rent         6   65340.0    7260.0  \n",
       "72            Sindh      6  For Sale         7   59895.0    6655.0  \n",
       "79            Sindh      6  For Sale         6   59895.0    6655.0  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55023         Sindh      3  For Rent         3  185130.0   20570.0  \n",
       "55066         Sindh      3  For Sale         3  174240.0   19360.0  \n",
       "55068         Sindh      7  For Sale         6   59895.0    6655.0  \n",
       "55072         Sindh      4  For Sale         4  294030.0   32670.0  \n",
       "55081         Sindh      4  For Sale         9   65340.0    7260.0  \n",
       "\n",
       "[2003 rows x 10 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['sq_yards'] > 5000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4538</th>\n",
       "      <td>House</td>\n",
       "      <td>150.0</td>\n",
       "      <td>Liaquatabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5105</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6256</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8154</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Super Highway</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11819</th>\n",
       "      <td>House</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Mehmoodabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14016</th>\n",
       "      <td>Flat</td>\n",
       "      <td>170.0</td>\n",
       "      <td>Dalmia Cement Factory Road</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19959</th>\n",
       "      <td>House</td>\n",
       "      <td>75.0</td>\n",
       "      <td>New Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21559</th>\n",
       "      <td>House</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Mehmoodabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>10</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23452</th>\n",
       "      <td>House</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Landhi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>10</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26555</th>\n",
       "      <td>House</td>\n",
       "      <td>170.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27328</th>\n",
       "      <td>House</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>9</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27671</th>\n",
       "      <td>House</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>7</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49262</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49749</th>\n",
       "      <td>House</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Shahra-e-Faisal</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh                    location     city  \\\n",
       "460           House           65.0               North Karachi  Karachi   \n",
       "4538          House          150.0                 Liaquatabad  Karachi   \n",
       "5105          House          140.0             North Nazimabad  Karachi   \n",
       "6256          House           90.0               North Karachi  Karachi   \n",
       "8154          House           65.0               Super Highway  Karachi   \n",
       "11819         House          120.0                 Mehmoodabad  Karachi   \n",
       "14016          Flat          170.0  Dalmia Cement Factory Road  Karachi   \n",
       "19959         House           75.0                 New Karachi  Karachi   \n",
       "21559         House          185.0                 Mehmoodabad  Karachi   \n",
       "23452         House           75.0                      Landhi  Karachi   \n",
       "26555         House          170.0        Gulshan-e-Iqbal Town  Karachi   \n",
       "27328         House           80.0                  Gadap Town  Karachi   \n",
       "27671         House           60.0                  Gadap Town  Karachi   \n",
       "49262         House          110.0               North Karachi  Karachi   \n",
       "49749         House           75.0             Shahra-e-Faisal  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms    sq_ft  sq_yards  \n",
       "460           Sindh      5  For Sale         8   816.75     90.75  \n",
       "4538          Sindh      8  For Sale        11  1089.00    121.00  \n",
       "5105          Sindh      7  For Sale        10  1089.00    121.00  \n",
       "6256          Sindh      7  For Sale        11  1089.00    121.00  \n",
       "8154          Sindh      6  For Sale         6   816.75     90.75  \n",
       "11819         Sindh      5  For Sale        11   816.75     90.75  \n",
       "14016         Sindh      6  For Sale        10  1089.00    121.00  \n",
       "19959         Sindh      6  For Sale         6   816.75     90.75  \n",
       "21559         Sindh     10  For Sale        11  1089.00    121.00  \n",
       "23452         Sindh     10  For Sale        10  1089.00    121.00  \n",
       "26555         Sindh      8  For Sale         8  1089.00    121.00  \n",
       "27328         Sindh      9  For Sale        11  1361.26    151.25  \n",
       "27671         Sindh      5  For Sale         7   816.75     90.75  \n",
       "49262         Sindh      8  For Sale         8  1089.00    121.00  \n",
       "49749         Sindh      7  For Sale         8   816.75     90.75  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['sq_ft']/(karachi_house_data['bedrooms'] + karachi_house_data['baths']) < 70) & (karachi_house_data['sq_yards'] > 61)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16872</th>\n",
       "      <td>House</td>\n",
       "      <td>59.5</td>\n",
       "      <td>Liaquatabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19345</th>\n",
       "      <td>House</td>\n",
       "      <td>55.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh     location     city province_name  baths  \\\n",
       "16872         House           59.5  Liaquatabad  Karachi         Sindh      3   \n",
       "19345         House           55.0        Malir  Karachi         Sindh      4   \n",
       "\n",
       "        purpose  bedrooms  sq_ft  sq_yards  \n",
       "16872  For Sale         6  544.5      60.5  \n",
       "19345  For Sale         6  544.5      60.5  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['sq_yards'] < 90) & (karachi_house_data['bedrooms'] > 5) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55098</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>55078 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location     city  \\\n",
       "0             House         4500.0                Cantt  Karachi   \n",
       "1             House          350.0    Gulistan-e-Jauhar  Karachi   \n",
       "2              Flat          210.0          DHA Defence  Karachi   \n",
       "3             House           65.0                Malir  Karachi   \n",
       "4             House          130.0           Gadap Town  Karachi   \n",
       "...             ...            ...                  ...      ...   \n",
       "55094         House          265.0           Gadap Town  Karachi   \n",
       "55095         House          125.0           Gadap Town  Karachi   \n",
       "55096         House          270.0           Gadap Town  Karachi   \n",
       "55097         House          110.0           Gadap Town  Karachi   \n",
       "55098         House           90.0  Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0             Sindh      7  For Sale         6  21780.00   2420.00  \n",
       "1             Sindh      8  For Sale         6   4356.02    484.00  \n",
       "2             Sindh      3  For Sale         3  24230.34   2692.26  \n",
       "3             Sindh      1  For Sale         2   8712.03    968.00  \n",
       "4             Sindh      4  For Sale         4  26136.10   2904.01  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55094         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55095         Sindh      0  For Sale         3   2178.01    242.00  \n",
       "55096         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55097         Sindh      0  For Sale         3  21235.58   2359.51  \n",
       "55098         Sindh      3  For Sale         3  25591.59   2843.51  \n",
       "\n",
       "[55078 rows x 10 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[~(karachi_house_data['sq_ft']/(karachi_house_data['bedrooms'] + karachi_house_data['baths']) < 70)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['sq_ft']/(karachi_house_data['bedrooms'] + karachi_house_data['baths']) < 70)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55098</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>55078 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location     city  \\\n",
       "0             House         4500.0                Cantt  Karachi   \n",
       "1             House          350.0    Gulistan-e-Jauhar  Karachi   \n",
       "2              Flat          210.0          DHA Defence  Karachi   \n",
       "3             House           65.0                Malir  Karachi   \n",
       "4             House          130.0           Gadap Town  Karachi   \n",
       "...             ...            ...                  ...      ...   \n",
       "55094         House          265.0           Gadap Town  Karachi   \n",
       "55095         House          125.0           Gadap Town  Karachi   \n",
       "55096         House          270.0           Gadap Town  Karachi   \n",
       "55097         House          110.0           Gadap Town  Karachi   \n",
       "55098         House           90.0  Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0             Sindh      7  For Sale         6  21780.00   2420.00  \n",
       "1             Sindh      8  For Sale         6   4356.02    484.00  \n",
       "2             Sindh      3  For Sale         3  24230.34   2692.26  \n",
       "3             Sindh      1  For Sale         2   8712.03    968.00  \n",
       "4             Sindh      4  For Sale         4  26136.10   2904.01  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55094         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55095         Sindh      0  For Sale         3   2178.01    242.00  \n",
       "55096         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55097         Sindh      0  For Sale         3  21235.58   2359.51  \n",
       "55098         Sindh      3  For Sale         3  25591.59   2843.51  \n",
       "\n",
       "[55078 rows x 10 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Flat</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>11434.54</td>\n",
       "      <td>1270.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Flat</td>\n",
       "      <td>50.49</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>House</td>\n",
       "      <td>80.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>Flat</td>\n",
       "      <td>35.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>10345.54</td>\n",
       "      <td>1149.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>House</td>\n",
       "      <td>130.00</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50400</th>\n",
       "      <td>Flat</td>\n",
       "      <td>35.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>8439.78</td>\n",
       "      <td>937.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53625</th>\n",
       "      <td>Flat</td>\n",
       "      <td>35.00</td>\n",
       "      <td>Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>7350.78</td>\n",
       "      <td>816.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54143</th>\n",
       "      <td>House</td>\n",
       "      <td>335.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>9</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>26680.60</td>\n",
       "      <td>2964.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54605</th>\n",
       "      <td>Flat</td>\n",
       "      <td>38.00</td>\n",
       "      <td>Saddar Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>0</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54920</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.60</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>0</td>\n",
       "      <td>8439.78</td>\n",
       "      <td>937.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>252 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "70             Flat          60.00   Bahria Town Karachi  Karachi   \n",
       "132            Flat          50.49             Scheme 33  Karachi   \n",
       "696           House          80.00         North Karachi  Karachi   \n",
       "706            Flat          35.00         North Karachi  Karachi   \n",
       "893           House         130.00             Scheme 33  Karachi   \n",
       "...             ...            ...                   ...      ...   \n",
       "50400          Flat          35.00         North Karachi  Karachi   \n",
       "53625          Flat          35.00             Nazimabad  Karachi   \n",
       "54143         House         335.00  Gulshan-e-Iqbal Town  Karachi   \n",
       "54605          Flat          38.00           Saddar Town  Karachi   \n",
       "54920          Flat           0.60           DHA Defence  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "70            Sindh      2  For Sale         0  11434.54   1270.50  \n",
       "132           Sindh      2  For Sale         0   1089.00    121.00  \n",
       "696           Sindh      4  For Sale         0   8712.03    968.00  \n",
       "706           Sindh      2  For Sale         0  10345.54   1149.50  \n",
       "893           Sindh      5  For Sale         0   1089.00    121.00  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "50400         Sindh      2  For Sale         0   8439.78    937.75  \n",
       "53625         Sindh      1  For Sale         0   7350.78    816.75  \n",
       "54143         Sindh      9  For Sale         0  26680.60   2964.51  \n",
       "54605         Sindh      1  For Sale         0   1361.26    151.25  \n",
       "54920         Sindh      1  For Rent         0   8439.78    937.75  \n",
       "\n",
       "[252 rows x 10 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['bedrooms'] == 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['bedrooms'] == 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Flat</td>\n",
       "      <td>295.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Flat</td>\n",
       "      <td>300.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Flat</td>\n",
       "      <td>375.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>35664.88</td>\n",
       "      <td>3962.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Flat</td>\n",
       "      <td>450.0</td>\n",
       "      <td>Bath Island</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Flat</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>14701.55</td>\n",
       "      <td>1633.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55093</th>\n",
       "      <td>Flat</td>\n",
       "      <td>48.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>10345.54</td>\n",
       "      <td>1149.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7343 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "12             Flat          295.0                 Cantt  Karachi   \n",
       "13             Flat          300.0                 Cantt  Karachi   \n",
       "14             Flat          375.0                 Cantt  Karachi   \n",
       "15             Flat          450.0           Bath Island  Karachi   \n",
       "18             Flat           50.0  Gulshan-e-Iqbal Town  Karachi   \n",
       "...             ...            ...                   ...      ...   \n",
       "55093          Flat           48.0            Gadap Town  Karachi   \n",
       "55094         House          265.0            Gadap Town  Karachi   \n",
       "55095         House          125.0            Gadap Town  Karachi   \n",
       "55096         House          270.0            Gadap Town  Karachi   \n",
       "55097         House          110.0            Gadap Town  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "12            Sindh      0  For Sale         3  31036.61   3448.51  \n",
       "13            Sindh      0  For Sale         3  31036.61   3448.51  \n",
       "14            Sindh      0  For Sale         4  35664.88   3962.76  \n",
       "15            Sindh      0  For Sale         3  24230.34   2692.26  \n",
       "18            Sindh      0  For Sale         2  14701.55   1633.51  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55093         Sindh      0  For Sale         2  10345.54   1149.50  \n",
       "55094         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55095         Sindh      0  For Sale         3   2178.01    242.00  \n",
       "55096         Sindh      0  For Sale         6  26136.10   2904.01  \n",
       "55097         Sindh      0  For Sale         3  21235.58   2359.51  \n",
       "\n",
       "[7343 rows x 10 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['baths'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>House</td>\n",
       "      <td>128.0</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Flat</td>\n",
       "      <td>340.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>House</td>\n",
       "      <td>170.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55084</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>1633.51</td>\n",
       "      <td>181.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55085</th>\n",
       "      <td>House</td>\n",
       "      <td>95.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>16607.31</td>\n",
       "      <td>1845.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55086</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>3811.51</td>\n",
       "      <td>423.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55089</th>\n",
       "      <td>House</td>\n",
       "      <td>88.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55090</th>\n",
       "      <td>House</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6386 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "0             House         4500.0                 Cantt  Karachi   \n",
       "1             House          350.0     Gulistan-e-Jauhar  Karachi   \n",
       "9             House          128.0             Scheme 33  Karachi   \n",
       "11             Flat          340.0                 Cantt  Karachi   \n",
       "16            House          170.0  Gulshan-e-Iqbal Town  Karachi   \n",
       "...             ...            ...                   ...      ...   \n",
       "55084         House          140.0   Bahria Town Karachi  Karachi   \n",
       "55085         House           95.0   Bahria Town Karachi  Karachi   \n",
       "55086         House          140.0   Bahria Town Karachi  Karachi   \n",
       "55089         House           88.0   Bahria Town Karachi  Karachi   \n",
       "55090         House           50.0   Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0             Sindh      7  For Sale         6  21780.00   2420.00  \n",
       "1             Sindh      8  For Sale         6   4356.02    484.00  \n",
       "9             Sindh      6  For Sale         5  26136.10   2904.01  \n",
       "11            Sindh      4  For Sale         3  31036.61   3448.51  \n",
       "16            Sindh      5  For Sale         4  13068.05   1452.01  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55084         Sindh      4  For Sale         3   1633.51    181.50  \n",
       "55085         Sindh      4  For Sale         3  16607.31   1845.26  \n",
       "55086         Sindh      5  For Sale         4   3811.51    423.50  \n",
       "55089         Sindh      4  For Sale         3   2178.01    242.00  \n",
       "55090         Sindh      4  For Sale         3   1361.26    151.25  \n",
       "\n",
       "[6386 rows x 10 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['baths'] > karachi_house_data['bedrooms']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>House</td>\n",
       "      <td>115.0</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>House</td>\n",
       "      <td>950.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>9</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>98010.00</td>\n",
       "      <td>10890.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>House</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>5</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>918</th>\n",
       "      <td>House</td>\n",
       "      <td>160.0</td>\n",
       "      <td>Korangi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>House</td>\n",
       "      <td>950.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>10</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>59895.00</td>\n",
       "      <td>6655.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51953</th>\n",
       "      <td>House</td>\n",
       "      <td>100.0</td>\n",
       "      <td>PTV Society</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53285</th>\n",
       "      <td>House</td>\n",
       "      <td>275.0</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>9</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53556</th>\n",
       "      <td>House</td>\n",
       "      <td>160.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>15518.31</td>\n",
       "      <td>1724.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53663</th>\n",
       "      <td>Flat</td>\n",
       "      <td>5.4</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>7623.03</td>\n",
       "      <td>847.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54427</th>\n",
       "      <td>House</td>\n",
       "      <td>2800.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>9</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>10890.00</td>\n",
       "      <td>1210.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>115 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "458           House          115.0             Scheme 33  Karachi   \n",
       "605           House          950.0  Gulshan-e-Iqbal Town  Karachi   \n",
       "614           House            3.0          Jamshed Town  Karachi   \n",
       "918           House          160.0               Korangi  Karachi   \n",
       "1117          House          950.0                 Cantt  Karachi   \n",
       "...             ...            ...                   ...      ...   \n",
       "51953         House          100.0           PTV Society  Karachi   \n",
       "53285         House          275.0             Scheme 33  Karachi   \n",
       "53556         House          160.0            Gadap Town  Karachi   \n",
       "53663          Flat            5.4            Gadap Town  Karachi   \n",
       "54427         House         2800.0           DHA Defence  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "458           Sindh      7  For Sale         4  13068.05   1452.01  \n",
       "605           Sindh      9  For Sale         6  98010.00  10890.00  \n",
       "614           Sindh      8  For Rent         5   4356.02    484.00  \n",
       "918           Sindh      7  For Sale         4  13068.05   1452.01  \n",
       "1117          Sindh     10  For Sale         6  59895.00   6655.00  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "51953         Sindh      8  For Sale         5   1361.26    151.25  \n",
       "53285         Sindh      9  For Sale         5  26136.10   2904.01  \n",
       "53556         Sindh      7  For Sale         4  15518.31   1724.26  \n",
       "53663         Sindh      6  For Sale         2   7623.03    847.00  \n",
       "54427         Sindh      9  For Sale         6  10890.00   1210.00  \n",
       "\n",
       "[115 rows x 10 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['baths'] > karachi_house_data['bedrooms']+2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['baths'] > karachi_house_data['bedrooms']+2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>House</td>\n",
       "      <td>128.0</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>5</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Flat</td>\n",
       "      <td>340.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>House</td>\n",
       "      <td>170.0</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55084</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>1633.51</td>\n",
       "      <td>181.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55085</th>\n",
       "      <td>House</td>\n",
       "      <td>95.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>16607.31</td>\n",
       "      <td>1845.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55086</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>3811.51</td>\n",
       "      <td>423.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55089</th>\n",
       "      <td>House</td>\n",
       "      <td>88.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55090</th>\n",
       "      <td>House</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6271 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location     city  \\\n",
       "0             House         4500.0                 Cantt  Karachi   \n",
       "1             House          350.0     Gulistan-e-Jauhar  Karachi   \n",
       "9             House          128.0             Scheme 33  Karachi   \n",
       "11             Flat          340.0                 Cantt  Karachi   \n",
       "16            House          170.0  Gulshan-e-Iqbal Town  Karachi   \n",
       "...             ...            ...                   ...      ...   \n",
       "55084         House          140.0   Bahria Town Karachi  Karachi   \n",
       "55085         House           95.0   Bahria Town Karachi  Karachi   \n",
       "55086         House          140.0   Bahria Town Karachi  Karachi   \n",
       "55089         House           88.0   Bahria Town Karachi  Karachi   \n",
       "55090         House           50.0   Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0             Sindh      7  For Sale         6  21780.00   2420.00  \n",
       "1             Sindh      8  For Sale         6   4356.02    484.00  \n",
       "9             Sindh      6  For Sale         5  26136.10   2904.01  \n",
       "11            Sindh      4  For Sale         3  31036.61   3448.51  \n",
       "16            Sindh      5  For Sale         4  13068.05   1452.01  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55084         Sindh      4  For Sale         3   1633.51    181.50  \n",
       "55085         Sindh      4  For Sale         3  16607.31   1845.26  \n",
       "55086         Sindh      5  For Sale         4   3811.51    423.50  \n",
       "55089         Sindh      4  For Sale         3   2178.01    242.00  \n",
       "55090         Sindh      4  For Sale         3   1361.26    151.25  \n",
       "\n",
       "[6271 rows x 10 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['baths'] > karachi_house_data['bedrooms']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Imputing values for houses with 0 bathsrooms, by assuming 2:1 ratio of bedrooms and bathrooms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data['baths'] = karachi_house_data.apply(lambda x: round(x['bedrooms']/2) if x['baths'] == 0 else x['baths'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Flat</td>\n",
       "      <td>18.00</td>\n",
       "      <td>Gulberg Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>3267.01</td>\n",
       "      <td>363.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>Flat</td>\n",
       "      <td>12.25</td>\n",
       "      <td>Korangi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>Flat</td>\n",
       "      <td>15.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>Room</td>\n",
       "      <td>13.00</td>\n",
       "      <td>Lyari Expressway</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>Upper Portion</td>\n",
       "      <td>0.15</td>\n",
       "      <td>New Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>1</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50920</th>\n",
       "      <td>Flat</td>\n",
       "      <td>26.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>544.50</td>\n",
       "      <td>60.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53581</th>\n",
       "      <td>House</td>\n",
       "      <td>50.00</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54677</th>\n",
       "      <td>Flat</td>\n",
       "      <td>25.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>544.50</td>\n",
       "      <td>60.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54775</th>\n",
       "      <td>Lower Portion</td>\n",
       "      <td>0.16</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>1</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55021</th>\n",
       "      <td>House</td>\n",
       "      <td>11.00</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>6534.02</td>\n",
       "      <td>726.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>76 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh           location     city province_name  \\\n",
       "327             Flat          18.00       Gulberg Town  Karachi         Sindh   \n",
       "610             Flat          12.25            Korangi  Karachi         Sindh   \n",
       "786             Flat          15.00      North Karachi  Karachi         Sindh   \n",
       "891             Room          13.00   Lyari Expressway  Karachi         Sindh   \n",
       "1071   Upper Portion           0.15        New Karachi  Karachi         Sindh   \n",
       "...              ...            ...                ...      ...           ...   \n",
       "50920           Flat          26.00  Gulistan-e-Jauhar  Karachi         Sindh   \n",
       "53581          House          50.00          Scheme 33  Karachi         Sindh   \n",
       "54677           Flat          25.00  Gulistan-e-Jauhar  Karachi         Sindh   \n",
       "54775  Lower Portion           0.16          Scheme 33  Karachi         Sindh   \n",
       "55021          House          11.00          Scheme 33  Karachi         Sindh   \n",
       "\n",
       "       baths   purpose  bedrooms    sq_ft  sq_yards  \n",
       "327        0  For Sale         1  3267.01    363.00  \n",
       "610        0  For Sale         1  4356.02    484.00  \n",
       "786        0  For Sale         1  4356.02    484.00  \n",
       "891        0  For Sale         1  8712.03    968.00  \n",
       "1071       0  For Rent         1  8712.03    968.00  \n",
       "...      ...       ...       ...      ...       ...  \n",
       "50920      0  For Sale         1   544.50     60.50  \n",
       "53581      0  For Sale         1  1361.26    151.25  \n",
       "54677      0  For Sale         1   544.50     60.50  \n",
       "54775      0  For Rent         1  8712.03    968.00  \n",
       "55021      0  For Sale         1  6534.02    726.00  \n",
       "\n",
       "[76 rows x 10 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['baths'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Flat</td>\n",
       "      <td>250.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>1633.51</td>\n",
       "      <td>181.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.08</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>1</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Flat</td>\n",
       "      <td>305.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>14973.80</td>\n",
       "      <td>1663.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Flat</td>\n",
       "      <td>26.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>5989.52</td>\n",
       "      <td>665.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>Flat</td>\n",
       "      <td>22.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>4900.52</td>\n",
       "      <td>544.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54958</th>\n",
       "      <td>Lower Portion</td>\n",
       "      <td>0.16</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>1</td>\n",
       "      <td>6534.02</td>\n",
       "      <td>726.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55001</th>\n",
       "      <td>Upper Portion</td>\n",
       "      <td>0.22</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>1</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55005</th>\n",
       "      <td>Flat</td>\n",
       "      <td>14.80</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>7350.78</td>\n",
       "      <td>816.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55012</th>\n",
       "      <td>Flat</td>\n",
       "      <td>14.60</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55021</th>\n",
       "      <td>House</td>\n",
       "      <td>11.00</td>\n",
       "      <td>Scheme 33</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>0</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>1</td>\n",
       "      <td>6534.02</td>\n",
       "      <td>726.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>841 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh              location     city  \\\n",
       "50              Flat         250.00           DHA Defence  Karachi   \n",
       "59              Room           0.08  Gulshan-e-Iqbal Town  Karachi   \n",
       "63              Flat         305.00           DHA Defence  Karachi   \n",
       "202             Flat          26.00     Gulistan-e-Jauhar  Karachi   \n",
       "247             Flat          22.00                 Malir  Karachi   \n",
       "...              ...            ...                   ...      ...   \n",
       "54958  Lower Portion           0.16     Gulistan-e-Jauhar  Karachi   \n",
       "55001  Upper Portion           0.22           DHA Defence  Karachi   \n",
       "55005           Flat          14.80   Bahria Town Karachi  Karachi   \n",
       "55012           Flat          14.60   Bahria Town Karachi  Karachi   \n",
       "55021          House          11.00             Scheme 33  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "50            Sindh      1  For Sale         1   1633.51    181.50  \n",
       "59            Sindh      1  For Rent         1  26136.10   2904.01  \n",
       "63            Sindh      1  For Sale         1  14973.80   1663.76  \n",
       "202           Sindh      1  For Sale         1   5989.52    665.50  \n",
       "247           Sindh      1  For Sale         1   4900.52    544.50  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "54958         Sindh      1  For Rent         1   6534.02    726.00  \n",
       "55001         Sindh      1  For Rent         1   1089.00    121.00  \n",
       "55005         Sindh      1  For Sale         1   7350.78    816.75  \n",
       "55012         Sindh      1  For Sale         1  65340.00   7260.00  \n",
       "55021         Sindh      0  For Sale         1   6534.02    726.00  \n",
       "\n",
       "[841 rows x 10 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['bedrooms'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[karachi_house_data['bedrooms'] != 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [property_type, price_in_lakh, location, city, province_name, baths, purpose, bedrooms, sq_ft, sq_yards]\n",
       "Index: []"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['baths'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>House</td>\n",
       "      <td>250.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>30492.11</td>\n",
       "      <td>3388.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2669</th>\n",
       "      <td>House</td>\n",
       "      <td>3500.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>15</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2963</th>\n",
       "      <td>House</td>\n",
       "      <td>1.60</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>11</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2992</th>\n",
       "      <td>House</td>\n",
       "      <td>120.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>14157.05</td>\n",
       "      <td>1573.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3612</th>\n",
       "      <td>House</td>\n",
       "      <td>480.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8264</th>\n",
       "      <td>House</td>\n",
       "      <td>150.00</td>\n",
       "      <td>Federal B Area</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8303</th>\n",
       "      <td>House</td>\n",
       "      <td>510.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>25319.34</td>\n",
       "      <td>2813.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8336</th>\n",
       "      <td>House</td>\n",
       "      <td>60.00</td>\n",
       "      <td>Liaquatabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8693</th>\n",
       "      <td>House</td>\n",
       "      <td>3.50</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>11</td>\n",
       "      <td>5445.00</td>\n",
       "      <td>605.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10846</th>\n",
       "      <td>House</td>\n",
       "      <td>150.00</td>\n",
       "      <td>Mehmoodabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>1633.51</td>\n",
       "      <td>181.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10935</th>\n",
       "      <td>House</td>\n",
       "      <td>7.00</td>\n",
       "      <td>Shahra-e-Qaideen</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>10</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11092</th>\n",
       "      <td>House</td>\n",
       "      <td>180.00</td>\n",
       "      <td>Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>14429.30</td>\n",
       "      <td>1603.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12644</th>\n",
       "      <td>House</td>\n",
       "      <td>225.00</td>\n",
       "      <td>Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>15518.31</td>\n",
       "      <td>1724.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13224</th>\n",
       "      <td>House</td>\n",
       "      <td>3300.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>14</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14842</th>\n",
       "      <td>House</td>\n",
       "      <td>125.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15819</th>\n",
       "      <td>House</td>\n",
       "      <td>95.00</td>\n",
       "      <td>Liaquatabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16172</th>\n",
       "      <td>House</td>\n",
       "      <td>500.00</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18001</th>\n",
       "      <td>House</td>\n",
       "      <td>550.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18272</th>\n",
       "      <td>House</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>14</td>\n",
       "      <td>4900.52</td>\n",
       "      <td>544.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19935</th>\n",
       "      <td>House</td>\n",
       "      <td>3.90</td>\n",
       "      <td>Clifton</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>10</td>\n",
       "      <td>3811.51</td>\n",
       "      <td>423.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20091</th>\n",
       "      <td>House</td>\n",
       "      <td>130.00</td>\n",
       "      <td>Federal B Area</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20795</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.60</td>\n",
       "      <td>Shaheed Millat Road</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>9</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21018</th>\n",
       "      <td>House</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>5</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>11</td>\n",
       "      <td>10890.00</td>\n",
       "      <td>1210.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21019</th>\n",
       "      <td>House</td>\n",
       "      <td>5.00</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>12</td>\n",
       "      <td>10890.00</td>\n",
       "      <td>1210.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21248</th>\n",
       "      <td>House</td>\n",
       "      <td>97.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>10345.54</td>\n",
       "      <td>1149.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24030</th>\n",
       "      <td>Upper Portion</td>\n",
       "      <td>0.35</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>9</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25252</th>\n",
       "      <td>House</td>\n",
       "      <td>1250.00</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>10890.00</td>\n",
       "      <td>1210.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25697</th>\n",
       "      <td>House</td>\n",
       "      <td>4.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>13</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26041</th>\n",
       "      <td>House</td>\n",
       "      <td>350.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26613</th>\n",
       "      <td>House</td>\n",
       "      <td>75.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28058</th>\n",
       "      <td>House</td>\n",
       "      <td>500.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28380</th>\n",
       "      <td>House</td>\n",
       "      <td>6.50</td>\n",
       "      <td>Shahra-e-Faisal</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>11</td>\n",
       "      <td>87120.00</td>\n",
       "      <td>9680.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29668</th>\n",
       "      <td>House</td>\n",
       "      <td>199.00</td>\n",
       "      <td>Korangi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29726</th>\n",
       "      <td>House</td>\n",
       "      <td>170.00</td>\n",
       "      <td>Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>14429.30</td>\n",
       "      <td>1603.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30049</th>\n",
       "      <td>House</td>\n",
       "      <td>1400.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>70785.00</td>\n",
       "      <td>7865.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30087</th>\n",
       "      <td>House</td>\n",
       "      <td>55.00</td>\n",
       "      <td>Korangi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32910</th>\n",
       "      <td>Upper Portion</td>\n",
       "      <td>70.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33030</th>\n",
       "      <td>House</td>\n",
       "      <td>180.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33611</th>\n",
       "      <td>House</td>\n",
       "      <td>1100.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34792</th>\n",
       "      <td>House</td>\n",
       "      <td>3200.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35485</th>\n",
       "      <td>House</td>\n",
       "      <td>0.20</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>9</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38351</th>\n",
       "      <td>House</td>\n",
       "      <td>1100.00</td>\n",
       "      <td>Jamshed Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>5445.00</td>\n",
       "      <td>605.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39614</th>\n",
       "      <td>House</td>\n",
       "      <td>160.00</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>10</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42236</th>\n",
       "      <td>House</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Manzoor Colony</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>8</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42834</th>\n",
       "      <td>House</td>\n",
       "      <td>1500.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>16</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42838</th>\n",
       "      <td>House</td>\n",
       "      <td>625.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45366</th>\n",
       "      <td>House</td>\n",
       "      <td>540.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48230</th>\n",
       "      <td>House</td>\n",
       "      <td>1200.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>12</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50188</th>\n",
       "      <td>House</td>\n",
       "      <td>4.50</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>15</td>\n",
       "      <td>81675.00</td>\n",
       "      <td>9075.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50607</th>\n",
       "      <td>House</td>\n",
       "      <td>2.50</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>15</td>\n",
       "      <td>4900.52</td>\n",
       "      <td>544.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50608</th>\n",
       "      <td>House</td>\n",
       "      <td>2.50</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>6</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>12</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51767</th>\n",
       "      <td>House</td>\n",
       "      <td>95.00</td>\n",
       "      <td>New Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh              location     city  \\\n",
       "608            House         250.00                 Malir  Karachi   \n",
       "2669           House        3500.00           DHA Defence  Karachi   \n",
       "2963           House           1.60  Gulshan-e-Iqbal Town  Karachi   \n",
       "2992           House         120.00       North Nazimabad  Karachi   \n",
       "3612           House         480.00     Gulistan-e-Jauhar  Karachi   \n",
       "8264           House         150.00        Federal B Area  Karachi   \n",
       "8303           House         510.00       North Nazimabad  Karachi   \n",
       "8336           House          60.00           Liaquatabad  Karachi   \n",
       "8693           House           3.50       North Nazimabad  Karachi   \n",
       "10846          House         150.00           Mehmoodabad  Karachi   \n",
       "10935          House           7.00      Shahra-e-Qaideen  Karachi   \n",
       "11092          House         180.00             Nazimabad  Karachi   \n",
       "12644          House         225.00             Nazimabad  Karachi   \n",
       "13224          House        3300.00           DHA Defence  Karachi   \n",
       "14842          House         125.00     Gulistan-e-Jauhar  Karachi   \n",
       "15819          House          95.00           Liaquatabad  Karachi   \n",
       "16172          House         500.00          Jamshed Town  Karachi   \n",
       "18001          House         550.00  Gulshan-e-Iqbal Town  Karachi   \n",
       "18272          House           3.50          Jamshed Town  Karachi   \n",
       "19935          House           3.90               Clifton  Karachi   \n",
       "20091          House         130.00        Federal B Area  Karachi   \n",
       "20795           Flat           0.60   Shaheed Millat Road  Karachi   \n",
       "21018          House           5.00          Jamshed Town  Karachi   \n",
       "21019          House           5.00          Jamshed Town  Karachi   \n",
       "21248          House          97.00                 Malir  Karachi   \n",
       "24030  Upper Portion           0.35  Gulshan-e-Iqbal Town  Karachi   \n",
       "25252          House        1250.00          Jamshed Town  Karachi   \n",
       "25697          House           4.00  Gulshan-e-Iqbal Town  Karachi   \n",
       "26041          House         350.00  Gulshan-e-Iqbal Town  Karachi   \n",
       "26613          House          75.00                 Malir  Karachi   \n",
       "28058          House         500.00       North Nazimabad  Karachi   \n",
       "28380          House           6.50       Shahra-e-Faisal  Karachi   \n",
       "29668          House         199.00               Korangi  Karachi   \n",
       "29726          House         170.00             Nazimabad  Karachi   \n",
       "30049          House        1400.00  Gulshan-e-Iqbal Town  Karachi   \n",
       "30087          House          55.00               Korangi  Karachi   \n",
       "32910  Upper Portion          70.00         North Karachi  Karachi   \n",
       "33030          House         180.00         North Karachi  Karachi   \n",
       "33611          House        1100.00           DHA Defence  Karachi   \n",
       "34792          House        3200.00           DHA Defence  Karachi   \n",
       "35485          House           0.20            Gadap Town  Karachi   \n",
       "38351          House        1100.00          Jamshed Town  Karachi   \n",
       "39614          House         160.00            Gadap Town  Karachi   \n",
       "42236          House         100.00        Manzoor Colony  Karachi   \n",
       "42834          House        1500.00     Gulistan-e-Jauhar  Karachi   \n",
       "42838          House         625.00     Gulistan-e-Jauhar  Karachi   \n",
       "45366          House         540.00       North Nazimabad  Karachi   \n",
       "48230          House        1200.00           DHA Defence  Karachi   \n",
       "50188          House           4.50  Gulshan-e-Iqbal Town  Karachi   \n",
       "50607          House           2.50       North Nazimabad  Karachi   \n",
       "50608          House           2.50       North Nazimabad  Karachi   \n",
       "51767          House          95.00           New Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "608           Sindh      5  For Sale        11  30492.11   3388.01  \n",
       "2669          Sindh      8  For Sale        15  21780.00   2420.00  \n",
       "2963          Sindh      5  For Rent        11   4356.02    484.00  \n",
       "2992          Sindh      3  For Sale         9  14157.05   1573.01  \n",
       "3612          Sindh      6  For Sale        12  26136.10   2904.01  \n",
       "8264          Sindh      3  For Sale         9  13068.05   1452.01  \n",
       "8303          Sindh      1  For Sale         9  25319.34   2813.26  \n",
       "8336          Sindh      3  For Sale         9   8712.03    968.00  \n",
       "8693          Sindh      4  For Rent        11   5445.00    605.00  \n",
       "10846         Sindh      5  For Sale        11   1633.51    181.50  \n",
       "10935         Sindh      1  For Rent        10  65340.00   7260.00  \n",
       "11092         Sindh      4  For Sale        10  14429.30   1603.26  \n",
       "12644         Sindh      3  For Sale         9  15518.31   1724.26  \n",
       "13224         Sindh      7  For Sale        14  21780.00   2420.00  \n",
       "14842         Sindh      4  For Sale        11   8712.03    968.00  \n",
       "15819         Sindh      2  For Sale         8   8712.03    968.00  \n",
       "16172         Sindh      4  For Sale        10   2178.01    242.00  \n",
       "18001         Sindh      6  For Sale        12   2178.01    242.00  \n",
       "18272         Sindh      7  For Rent        14   4900.52    544.50  \n",
       "19935         Sindh      4  For Rent        10   3811.51    423.50  \n",
       "20091         Sindh      4  For Sale        10  13068.05   1452.01  \n",
       "20795         Sindh      2  For Rent         9   1089.00    121.00  \n",
       "21018         Sindh      5  For Rent        11  10890.00   1210.00  \n",
       "21019         Sindh      6  For Rent        12  10890.00   1210.00  \n",
       "21248         Sindh      3  For Sale         9  10345.54   1149.50  \n",
       "24030         Sindh      2  For Rent         9  26136.10   2904.01  \n",
       "25252         Sindh      6  For Sale        12  10890.00   1210.00  \n",
       "25697         Sindh      6  For Rent        13  65340.00   7260.00  \n",
       "26041         Sindh      1  For Sale        11   4356.02    484.00  \n",
       "26613         Sindh      2  For Sale        11   8712.03    968.00  \n",
       "28058         Sindh      6  For Sale        12  65340.00   7260.00  \n",
       "28380         Sindh      4  For Rent        11  87120.00   9680.00  \n",
       "29668         Sindh      3  For Sale         9  13068.05   1452.01  \n",
       "29726         Sindh      3  For Sale         9  14429.30   1603.26  \n",
       "30049         Sindh      6  For Sale        12  70785.00   7865.00  \n",
       "30087         Sindh      3  For Sale         9   8712.03    968.00  \n",
       "32910         Sindh      2  For Sale         9  13068.05   1452.01  \n",
       "33030         Sindh      3  For Sale        10  13068.05   1452.01  \n",
       "33611         Sindh      6  For Sale        12  65340.00   7260.00  \n",
       "34792         Sindh      6  For Sale        12  21780.00   2420.00  \n",
       "35485         Sindh      2  For Rent         9  13068.05   1452.01  \n",
       "38351         Sindh      1  For Sale         9   5445.00    605.00  \n",
       "39614         Sindh      4  For Sale        10   2178.01    242.00  \n",
       "42236         Sindh      2  For Sale         8   1089.00    121.00  \n",
       "42834         Sindh      6  For Sale        16  65340.00   7260.00  \n",
       "42838         Sindh      3  For Sale         9  26136.10   2904.01  \n",
       "45366         Sindh      3  For Sale         9  26136.10   2904.01  \n",
       "48230         Sindh      6  For Sale        12  65340.00   7260.00  \n",
       "50188         Sindh      8  For Rent        15  81675.00   9075.00  \n",
       "50607         Sindh      8  For Rent        15   4900.52    544.50  \n",
       "50608         Sindh      6  For Rent        12  65340.00   7260.00  \n",
       "51767         Sindh      3  For Sale         9  13068.05   1452.01  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['baths'] < karachi_house_data['bedrooms']-5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['baths'] < karachi_house_data['bedrooms']-5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>city</th>\n",
       "      <th>province_name</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55098</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>Karachi</td>\n",
       "      <td>Sindh</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53818 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location     city  \\\n",
       "0             House         4500.0                Cantt  Karachi   \n",
       "1             House          350.0    Gulistan-e-Jauhar  Karachi   \n",
       "2              Flat          210.0          DHA Defence  Karachi   \n",
       "3             House           65.0                Malir  Karachi   \n",
       "4             House          130.0           Gadap Town  Karachi   \n",
       "...             ...            ...                  ...      ...   \n",
       "55094         House          265.0           Gadap Town  Karachi   \n",
       "55095         House          125.0           Gadap Town  Karachi   \n",
       "55096         House          270.0           Gadap Town  Karachi   \n",
       "55097         House          110.0           Gadap Town  Karachi   \n",
       "55098         House           90.0  Bahria Town Karachi  Karachi   \n",
       "\n",
       "      province_name  baths   purpose  bedrooms     sq_ft  sq_yards  \n",
       "0             Sindh      7  For Sale         6  21780.00   2420.00  \n",
       "1             Sindh      8  For Sale         6   4356.02    484.00  \n",
       "2             Sindh      3  For Sale         3  24230.34   2692.26  \n",
       "3             Sindh      1  For Sale         2   8712.03    968.00  \n",
       "4             Sindh      4  For Sale         4  26136.10   2904.01  \n",
       "...             ...    ...       ...       ...       ...       ...  \n",
       "55094         Sindh      3  For Sale         6  26136.10   2904.01  \n",
       "55095         Sindh      2  For Sale         3   2178.01    242.00  \n",
       "55096         Sindh      3  For Sale         6  26136.10   2904.01  \n",
       "55097         Sindh      2  For Sale         3  21235.58   2359.51  \n",
       "55098         Sindh      3  For Sale         3  25591.59   2843.51  \n",
       "\n",
       "[53818 rows x 10 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 53818 entries, 0 to 55098\n",
      "Data columns (total 10 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   property_type  53818 non-null  object \n",
      " 1   price_in_lakh  53818 non-null  float64\n",
      " 2   location       53818 non-null  object \n",
      " 3   city           53818 non-null  object \n",
      " 4   province_name  53818 non-null  object \n",
      " 5   baths          53818 non-null  int64  \n",
      " 6   purpose        53818 non-null  object \n",
      " 7   bedrooms       53818 non-null  int64  \n",
      " 8   sq_ft          53818 non-null  float64\n",
      " 9   sq_yards       53818 non-null  float64\n",
      "dtypes: float64(3), int64(2), object(5)\n",
      "memory usage: 4.5+ MB\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data.drop(columns=['city', 'province_name'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['property_type', 'price_in_lakh', 'location', 'baths', 'purpose',\n",
       "       'bedrooms', 'sq_ft', 'sq_yards'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55098</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53818 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location  baths   purpose  \\\n",
       "0             House         4500.0                Cantt      7  For Sale   \n",
       "1             House          350.0    Gulistan-e-Jauhar      8  For Sale   \n",
       "2              Flat          210.0          DHA Defence      3  For Sale   \n",
       "3             House           65.0                Malir      1  For Sale   \n",
       "4             House          130.0           Gadap Town      4  For Sale   \n",
       "...             ...            ...                  ...    ...       ...   \n",
       "55094         House          265.0           Gadap Town      3  For Sale   \n",
       "55095         House          125.0           Gadap Town      2  For Sale   \n",
       "55096         House          270.0           Gadap Town      3  For Sale   \n",
       "55097         House          110.0           Gadap Town      2  For Sale   \n",
       "55098         House           90.0  Bahria Town Karachi      3  For Sale   \n",
       "\n",
       "       bedrooms     sq_ft  sq_yards  \n",
       "0             6  21780.00   2420.00  \n",
       "1             6   4356.02    484.00  \n",
       "2             3  24230.34   2692.26  \n",
       "3             2   8712.03    968.00  \n",
       "4             4  26136.10   2904.01  \n",
       "...         ...       ...       ...  \n",
       "55094         6  26136.10   2904.01  \n",
       "55095         3   2178.01    242.00  \n",
       "55096         6  26136.10   2904.01  \n",
       "55097         3  21235.58   2359.51  \n",
       "55098         3  25591.59   2843.51  \n",
       "\n",
       "[53818 rows x 8 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['House', 'Flat', 'Lower Portion', 'Upper Portion', 'Penthouse',\n",
       "       'Room', 'Farm House'], dtype=object)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.property_type.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.50</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>3</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>3</td>\n",
       "      <td>5445.02</td>\n",
       "      <td>605.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1378</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.50</td>\n",
       "      <td>Tariq Road</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>5</td>\n",
       "      <td>11434.54</td>\n",
       "      <td>1270.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1487</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.35</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>3</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1785</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Defence View Society</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1865</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Defence View Society</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.18</td>\n",
       "      <td>Defence View Society</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2439</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.13</td>\n",
       "      <td>Azam Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3553</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.16</td>\n",
       "      <td>Dastgir Colony</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>7078.53</td>\n",
       "      <td>786.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4634</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.15</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6963</th>\n",
       "      <td>Room</td>\n",
       "      <td>140.00</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>17424.06</td>\n",
       "      <td>1936.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12047</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.12</td>\n",
       "      <td>Malir</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>10345.54</td>\n",
       "      <td>1149.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13804</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.20</td>\n",
       "      <td>University Road</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>10345.54</td>\n",
       "      <td>1149.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16995</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.25</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22034</th>\n",
       "      <td>Room</td>\n",
       "      <td>70.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>11</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25116</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.60</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35855</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.15</td>\n",
       "      <td>Nazimabad</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37866</th>\n",
       "      <td>Room</td>\n",
       "      <td>900.00</td>\n",
       "      <td>Clifton</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>59895.00</td>\n",
       "      <td>6655.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42064</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.13</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>7623.03</td>\n",
       "      <td>847.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45199</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.10</td>\n",
       "      <td>Malir</td>\n",
       "      <td>1</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50750</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.09</td>\n",
       "      <td>Defence View Society</td>\n",
       "      <td>10</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>10</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50752</th>\n",
       "      <td>Room</td>\n",
       "      <td>0.09</td>\n",
       "      <td>Defence View Society</td>\n",
       "      <td>10</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>10</td>\n",
       "      <td>13068.05</td>\n",
       "      <td>1452.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location  baths   purpose  \\\n",
       "149            Room           0.50           DHA Defence      3  For Rent   \n",
       "1378           Room           0.50            Tariq Road      2  For Rent   \n",
       "1487           Room           0.35           DHA Defence      2  For Rent   \n",
       "1785           Room           0.18  Defence View Society      2  For Rent   \n",
       "1865           Room           0.18  Defence View Society      1  For Rent   \n",
       "1866           Room           0.18  Defence View Society      1  For Rent   \n",
       "2439           Room           0.13             Azam Town      2  For Rent   \n",
       "3553           Room           0.16        Dastgir Colony      1  For Rent   \n",
       "4634           Room           0.15         North Karachi      1  For Rent   \n",
       "6963           Room         140.00            Gadap Town      3  For Sale   \n",
       "12047          Room           0.12                 Malir      2  For Rent   \n",
       "13804          Room           0.20       University Road      2  For Rent   \n",
       "16995          Room           0.25         North Karachi      2  For Rent   \n",
       "22034          Room          70.00                 Malir      7  For Sale   \n",
       "25116          Room           0.60           DHA Defence      2  For Rent   \n",
       "35855          Room           0.15             Nazimabad      1  For Rent   \n",
       "37866          Room         900.00               Clifton      6  For Sale   \n",
       "42064          Room           0.13         North Karachi      2  For Rent   \n",
       "45199          Room           0.10                 Malir      1  For Rent   \n",
       "50750          Room           0.09  Defence View Society     10  For Rent   \n",
       "50752          Room           0.09  Defence View Society     10  For Rent   \n",
       "\n",
       "       bedrooms     sq_ft  sq_yards  \n",
       "149           3   5445.02    605.00  \n",
       "1378          5  11434.54   1270.50  \n",
       "1487          3   1089.00    121.00  \n",
       "1785          2   1361.26    151.25  \n",
       "1865          2   1361.26    151.25  \n",
       "1866          2   1361.26    151.25  \n",
       "2439          2    816.75     90.75  \n",
       "3553          2   7078.53    786.50  \n",
       "4634          2  13068.05   1452.01  \n",
       "6963          3  17424.06   1936.01  \n",
       "12047         2  10345.54   1149.50  \n",
       "13804         2  10345.54   1149.50  \n",
       "16995         2  13068.05   1452.01  \n",
       "22034        11   8712.03    968.00  \n",
       "25116         2  65340.00   7260.00  \n",
       "35855         2   4356.02    484.00  \n",
       "37866         6  59895.00   6655.00  \n",
       "42064         2   7623.03    847.00  \n",
       "45199         2   8712.03    968.00  \n",
       "50750        10  13068.05   1452.01  \n",
       "50752        10  13068.05   1452.01  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['property_type'] == 'Room']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[karachi_house_data['property_type'] != 'Room']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(30.25)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['sq_yards'].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analysing houses of different square yards."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>Flat</td>\n",
       "      <td>21.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>747</th>\n",
       "      <td>Flat</td>\n",
       "      <td>22.00</td>\n",
       "      <td>North Karachi</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>Flat</td>\n",
       "      <td>55.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1611</th>\n",
       "      <td>Lower Portion</td>\n",
       "      <td>1.40</td>\n",
       "      <td>Clifton</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>3</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1926</th>\n",
       "      <td>Flat</td>\n",
       "      <td>65.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53887</th>\n",
       "      <td>Flat</td>\n",
       "      <td>54.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54090</th>\n",
       "      <td>House</td>\n",
       "      <td>35.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54163</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.25</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54191</th>\n",
       "      <td>House</td>\n",
       "      <td>95.00</td>\n",
       "      <td>Manzoor Colony</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54915</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.28</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>544.5</td>\n",
       "      <td>60.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>373 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh              location  baths   purpose  \\\n",
       "400             Flat          21.00  Gulshan-e-Iqbal Town      1  For Sale   \n",
       "747             Flat          22.00         North Karachi      1  For Sale   \n",
       "1454            Flat          55.00           DHA Defence      2  For Sale   \n",
       "1611   Lower Portion           1.40               Clifton      2  For Rent   \n",
       "1926            Flat          65.00           DHA Defence      2  For Sale   \n",
       "...              ...            ...                   ...    ...       ...   \n",
       "53887           Flat          54.00           DHA Defence      2  For Sale   \n",
       "54090          House          35.00                 Malir      2  For Sale   \n",
       "54163           Flat           0.25           DHA Defence      2  For Rent   \n",
       "54191          House          95.00        Manzoor Colony      2  For Sale   \n",
       "54915           Flat           0.28           DHA Defence      2  For Rent   \n",
       "\n",
       "       bedrooms  sq_ft  sq_yards  \n",
       "400           2  544.5      60.5  \n",
       "747           2  544.5      60.5  \n",
       "1454          2  544.5      60.5  \n",
       "1611          3  544.5      60.5  \n",
       "1926          2  544.5      60.5  \n",
       "...         ...    ...       ...  \n",
       "53887         2  544.5      60.5  \n",
       "54090         3  544.5      60.5  \n",
       "54163         2  544.5      60.5  \n",
       "54191         2  544.5      60.5  \n",
       "54915         2  544.5      60.5  \n",
       "\n",
       "[373 rows x 8 columns]"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['sq_yards'] < 80)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>House</td>\n",
       "      <td>320.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>House</td>\n",
       "      <td>85.00</td>\n",
       "      <td>Malir</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.10</td>\n",
       "      <td>Federal B Area</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>816.75</td>\n",
       "      <td>90.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>House</td>\n",
       "      <td>435.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>5</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>Flat</td>\n",
       "      <td>37.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54934</th>\n",
       "      <td>Flat</td>\n",
       "      <td>85.00</td>\n",
       "      <td>Gulshan-e-Iqbal Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54941</th>\n",
       "      <td>Flat</td>\n",
       "      <td>75.00</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54965</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.35</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>2</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>2</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55013</th>\n",
       "      <td>House</td>\n",
       "      <td>400.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55018</th>\n",
       "      <td>House</td>\n",
       "      <td>380.00</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2444 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh              location  baths   purpose  \\\n",
       "5             House         320.00           DHA Defence      4  For Sale   \n",
       "122           House          85.00                 Malir      5  For Sale   \n",
       "148            Flat           0.10        Federal B Area      2  For Rent   \n",
       "166           House         435.00           DHA Defence      5  For Sale   \n",
       "199            Flat          37.00     Gulistan-e-Jauhar      2  For Sale   \n",
       "...             ...            ...                   ...    ...       ...   \n",
       "54934          Flat          85.00  Gulshan-e-Iqbal Town      2  For Sale   \n",
       "54941          Flat          75.00     Gulistan-e-Jauhar      2  For Sale   \n",
       "54965          Flat           0.35       North Nazimabad      2  For Rent   \n",
       "55013         House         400.00           DHA Defence      4  For Sale   \n",
       "55018         House         380.00           DHA Defence      4  For Sale   \n",
       "\n",
       "       bedrooms    sq_ft  sq_yards  \n",
       "5             4  1089.00    121.00  \n",
       "122           4  1089.00    121.00  \n",
       "148           2   816.75     90.75  \n",
       "166           4  1089.00    121.00  \n",
       "199           2  1089.00    121.00  \n",
       "...         ...      ...       ...  \n",
       "54934         2  1089.00    121.00  \n",
       "54941         2  1089.00    121.00  \n",
       "54965         2  1089.00    121.00  \n",
       "55013         4  1089.00    121.00  \n",
       "55018         3  1089.00    121.00  \n",
       "\n",
       "[2444 rows x 8 columns]"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['sq_yards'] >80) & (karachi_house_data['sq_yards'] < 122)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>House</td>\n",
       "      <td>320.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>House</td>\n",
       "      <td>40.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>7</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>House</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>6</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>5445.00</td>\n",
       "      <td>605.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55089</th>\n",
       "      <td>House</td>\n",
       "      <td>88.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55090</th>\n",
       "      <td>House</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>1361.26</td>\n",
       "      <td>151.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55091</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55092</th>\n",
       "      <td>House</td>\n",
       "      <td>140.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>3811.51</td>\n",
       "      <td>423.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23367 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location  baths   purpose  \\\n",
       "1             House          350.0    Gulistan-e-Jauhar      8  For Sale   \n",
       "3             House           65.0                Malir      1  For Sale   \n",
       "5             House          320.0          DHA Defence      4  For Sale   \n",
       "6             House           40.0                Malir      3  For Sale   \n",
       "8             House         1100.0          DHA Defence      6  For Sale   \n",
       "...             ...            ...                  ...    ...       ...   \n",
       "55089         House           88.0  Bahria Town Karachi      4  For Sale   \n",
       "55090         House           50.0  Bahria Town Karachi      4  For Sale   \n",
       "55091         House          140.0  Bahria Town Karachi      3  For Sale   \n",
       "55092         House          140.0  Bahria Town Karachi      4  For Sale   \n",
       "55095         House          125.0           Gadap Town      2  For Sale   \n",
       "\n",
       "       bedrooms    sq_ft  sq_yards  \n",
       "1             6  4356.02    484.00  \n",
       "3             2  8712.03    968.00  \n",
       "5             4  1089.00    121.00  \n",
       "6             7  8712.03    968.00  \n",
       "8             6  5445.00    605.00  \n",
       "...         ...      ...       ...  \n",
       "55089         3  2178.01    242.00  \n",
       "55090         3  1361.26    151.25  \n",
       "55091         3  2178.01    242.00  \n",
       "55092         4  3811.51    423.50  \n",
       "55095         3  2178.01    242.00  \n",
       "\n",
       "[23367 rows x 8 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[(karachi_house_data['sq_yards'] >120) & (karachi_house_data['sq_yards'] < 1000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Flat</td>\n",
       "      <td>295.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Flat</td>\n",
       "      <td>300.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Flat</td>\n",
       "      <td>375.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>35664.88</td>\n",
       "      <td>3962.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Flat</td>\n",
       "      <td>280.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Flat</td>\n",
       "      <td>325.00</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>31036.61</td>\n",
       "      <td>3448.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55023</th>\n",
       "      <td>Flat</td>\n",
       "      <td>0.38</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>3</td>\n",
       "      <td>For Rent</td>\n",
       "      <td>3</td>\n",
       "      <td>185130.00</td>\n",
       "      <td>20570.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55039</th>\n",
       "      <td>Flat</td>\n",
       "      <td>100.00</td>\n",
       "      <td>Jamshed Road</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>15246.06</td>\n",
       "      <td>1694.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55066</th>\n",
       "      <td>Flat</td>\n",
       "      <td>300.00</td>\n",
       "      <td>Shaheed Millat Road</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>174240.00</td>\n",
       "      <td>19360.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55072</th>\n",
       "      <td>Flat</td>\n",
       "      <td>325.00</td>\n",
       "      <td>Khalid Bin Walid Road</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>294030.00</td>\n",
       "      <td>32670.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55081</th>\n",
       "      <td>House</td>\n",
       "      <td>700.00</td>\n",
       "      <td>North Nazimabad</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>9</td>\n",
       "      <td>65340.00</td>\n",
       "      <td>7260.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2772 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh               location  baths   purpose  \\\n",
       "12             Flat         295.00                  Cantt      2  For Sale   \n",
       "13             Flat         300.00                  Cantt      2  For Sale   \n",
       "14             Flat         375.00                  Cantt      2  For Sale   \n",
       "21             Flat         280.00                  Cantt      3  For Sale   \n",
       "22             Flat         325.00                  Cantt      3  For Sale   \n",
       "...             ...            ...                    ...    ...       ...   \n",
       "55023          Flat           0.38    Bahria Town Karachi      3  For Rent   \n",
       "55039          Flat         100.00           Jamshed Road      1  For Sale   \n",
       "55066          Flat         300.00    Shaheed Millat Road      3  For Sale   \n",
       "55072          Flat         325.00  Khalid Bin Walid Road      4  For Sale   \n",
       "55081         House         700.00        North Nazimabad      4  For Sale   \n",
       "\n",
       "       bedrooms      sq_ft  sq_yards  \n",
       "12            3   31036.61   3448.51  \n",
       "13            3   31036.61   3448.51  \n",
       "14            4   35664.88   3962.76  \n",
       "21            3   31036.61   3448.51  \n",
       "22            3   31036.61   3448.51  \n",
       "...         ...        ...       ...  \n",
       "55023         3  185130.00  20570.00  \n",
       "55039         2   15246.06   1694.01  \n",
       "55066         3  174240.00  19360.00  \n",
       "55072         4  294030.00  32670.00  \n",
       "55081         9   65340.00   7260.00  \n",
       "\n",
       "[2772 rows x 8 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data[karachi_house_data['sq_ft']/(karachi_house_data['bedrooms'] + karachi_house_data['baths']) > 5000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~(karachi_house_data['sq_ft']/(karachi_house_data['bedrooms'] + karachi_house_data['baths']) > 5000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55094</th>\n",
       "      <td>House</td>\n",
       "      <td>265.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55095</th>\n",
       "      <td>House</td>\n",
       "      <td>125.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55096</th>\n",
       "      <td>House</td>\n",
       "      <td>270.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55097</th>\n",
       "      <td>House</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>2</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55098</th>\n",
       "      <td>House</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Bahria Town Karachi</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>51025 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      property_type  price_in_lakh             location  baths   purpose  \\\n",
       "0             House         4500.0                Cantt      7  For Sale   \n",
       "1             House          350.0    Gulistan-e-Jauhar      8  For Sale   \n",
       "2              Flat          210.0          DHA Defence      3  For Sale   \n",
       "3             House           65.0                Malir      1  For Sale   \n",
       "4             House          130.0           Gadap Town      4  For Sale   \n",
       "...             ...            ...                  ...    ...       ...   \n",
       "55094         House          265.0           Gadap Town      3  For Sale   \n",
       "55095         House          125.0           Gadap Town      2  For Sale   \n",
       "55096         House          270.0           Gadap Town      3  For Sale   \n",
       "55097         House          110.0           Gadap Town      2  For Sale   \n",
       "55098         House           90.0  Bahria Town Karachi      3  For Sale   \n",
       "\n",
       "       bedrooms     sq_ft  sq_yards  \n",
       "0             6  21780.00   2420.00  \n",
       "1             6   4356.02    484.00  \n",
       "2             3  24230.34   2692.26  \n",
       "3             2   8712.03    968.00  \n",
       "4             4  26136.10   2904.01  \n",
       "...         ...       ...       ...  \n",
       "55094         6  26136.10   2904.01  \n",
       "55095         3   2178.01    242.00  \n",
       "55096         6  26136.10   2904.01  \n",
       "55097         3  21235.58   2359.51  \n",
       "55098         3  25591.59   2843.51  \n",
       "\n",
       "[51025 rows x 8 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>location</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>House</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>Cantt</td>\n",
       "      <td>7</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>House</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Gulistan-e-Jauhar</td>\n",
       "      <td>8</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Flat</td>\n",
       "      <td>210.0</td>\n",
       "      <td>DHA Defence</td>\n",
       "      <td>3</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>House</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Malir</td>\n",
       "      <td>1</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>House</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Gadap Town</td>\n",
       "      <td>4</td>\n",
       "      <td>For Sale</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  property_type  price_in_lakh           location  baths   purpose  bedrooms  \\\n",
       "0         House         4500.0              Cantt      7  For Sale         6   \n",
       "1         House          350.0  Gulistan-e-Jauhar      8  For Sale         6   \n",
       "2          Flat          210.0        DHA Defence      3  For Sale         3   \n",
       "3         House           65.0              Malir      1  For Sale         2   \n",
       "4         House          130.0         Gadap Town      4  For Sale         4   \n",
       "\n",
       "      sq_ft  sq_yards  \n",
       "0  21780.00   2420.00  \n",
       "1   4356.02    484.00  \n",
       "2  24230.34   2692.26  \n",
       "3   8712.03    968.00  \n",
       "4  26136.10   2904.01  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "property_type\n",
       "Flat             23425\n",
       "House            21180\n",
       "Upper Portion     4069\n",
       "Lower Portion     2133\n",
       "Penthouse          204\n",
       "Farm House          14\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['property_type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "karachi_house_data = karachi_house_data[~karachi_house_data['property_type'].isin(['Penthouse', 'Farm House'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "property_type\n",
       "Flat             23425\n",
       "House            21180\n",
       "Upper Portion     4069\n",
       "Lower Portion     2133\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['property_type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the dataset is cleaned and ready."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## More Feature Engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Encoding Categorical Features:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "location\n",
       "DHA Defence             9223\n",
       "Bahria Town Karachi     8157\n",
       "Gulistan-e-Jauhar       5175\n",
       "Gulshan-e-Iqbal Town    3912\n",
       "Scheme 33               2533\n",
       "                        ... \n",
       "Goth Ibrahim Haidri        1\n",
       "Erum Villas                1\n",
       "Humaira Town               1\n",
       "Damba                      1\n",
       "Shahra-e-Liaquat           1\n",
       "Name: count, Length: 197, dtype: int64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['location'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "197"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(karachi_house_data['location'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Applying One Hot Encoding on location variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>APP Employees Co-operative Housing Society</th>\n",
       "      <th>ASF Housing Scheme</th>\n",
       "      <th>ASF Tower</th>\n",
       "      <th>Abdullah Ahmed Road</th>\n",
       "      <th>Abdullah Haroon Road</th>\n",
       "      <th>Abid Town</th>\n",
       "      <th>Abul Hassan Isphani Road</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Aisha Manzil</th>\n",
       "      <th>Al-Hilal Society</th>\n",
       "      <th>...</th>\n",
       "      <th>Suparco Road</th>\n",
       "      <th>Super Highway</th>\n",
       "      <th>Surti Muslim Co-Operative Housing Society</th>\n",
       "      <th>Tariq Road</th>\n",
       "      <th>Teachers Society</th>\n",
       "      <th>Times Residency</th>\n",
       "      <th>Tipu Sultan Road</th>\n",
       "      <th>University Road</th>\n",
       "      <th>Zamzama</th>\n",
       "      <th>circular road</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\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>...</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",
       "    <tr>\n",
       "      <th>1</th>\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>...</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",
       "    <tr>\n",
       "      <th>2</th>\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>...</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",
       "    <tr>\n",
       "      <th>3</th>\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>...</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",
       "    <tr>\n",
       "      <th>4</th>\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>...</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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51020</th>\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>...</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",
       "    <tr>\n",
       "      <th>51021</th>\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>...</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",
       "    <tr>\n",
       "      <th>51022</th>\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>...</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",
       "    <tr>\n",
       "      <th>51023</th>\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>...</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",
       "    <tr>\n",
       "      <th>51024</th>\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>...</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",
       "<p>50807 rows × 196 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       APP Employees Co-operative Housing Society  ASF Housing Scheme  \\\n",
       "0                                               0                   0   \n",
       "1                                               0                   0   \n",
       "2                                               0                   0   \n",
       "3                                               0                   0   \n",
       "4                                               0                   0   \n",
       "...                                           ...                 ...   \n",
       "51020                                           0                   0   \n",
       "51021                                           0                   0   \n",
       "51022                                           0                   0   \n",
       "51023                                           0                   0   \n",
       "51024                                           0                   0   \n",
       "\n",
       "       ASF Tower  Abdullah Ahmed Road  Abdullah Haroon Road  Abid Town  \\\n",
       "0              0                    0                     0          0   \n",
       "1              0                    0                     0          0   \n",
       "2              0                    0                     0          0   \n",
       "3              0                    0                     0          0   \n",
       "4              0                    0                     0          0   \n",
       "...          ...                  ...                   ...        ...   \n",
       "51020          0                    0                     0          0   \n",
       "51021          0                    0                     0          0   \n",
       "51022          0                    0                     0          0   \n",
       "51023          0                    0                     0          0   \n",
       "51024          0                    0                     0          0   \n",
       "\n",
       "       Abul Hassan Isphani Road  Airport  Aisha Manzil  Al-Hilal Society  ...  \\\n",
       "0                             0        0             0                 0  ...   \n",
       "1                             0        0             0                 0  ...   \n",
       "2                             0        0             0                 0  ...   \n",
       "3                             0        0             0                 0  ...   \n",
       "4                             0        0             0                 0  ...   \n",
       "...                         ...      ...           ...               ...  ...   \n",
       "51020                         0        0             0                 0  ...   \n",
       "51021                         0        0             0                 0  ...   \n",
       "51022                         0        0             0                 0  ...   \n",
       "51023                         0        0             0                 0  ...   \n",
       "51024                         0        0             0                 0  ...   \n",
       "\n",
       "       Suparco Road  Super Highway  Surti Muslim Co-Operative Housing Society  \\\n",
       "0                 0              0                                          0   \n",
       "1                 0              0                                          0   \n",
       "2                 0              0                                          0   \n",
       "3                 0              0                                          0   \n",
       "4                 0              0                                          0   \n",
       "...             ...            ...                                        ...   \n",
       "51020             0              0                                          0   \n",
       "51021             0              0                                          0   \n",
       "51022             0              0                                          0   \n",
       "51023             0              0                                          0   \n",
       "51024             0              0                                          0   \n",
       "\n",
       "       Tariq Road  Teachers Society  Times Residency  Tipu Sultan Road  \\\n",
       "0               0                 0                0                 0   \n",
       "1               0                 0                0                 0   \n",
       "2               0                 0                0                 0   \n",
       "3               0                 0                0                 0   \n",
       "4               0                 0                0                 0   \n",
       "...           ...               ...              ...               ...   \n",
       "51020           0                 0                0                 0   \n",
       "51021           0                 0                0                 0   \n",
       "51022           0                 0                0                 0   \n",
       "51023           0                 0                0                 0   \n",
       "51024           0                 0                0                 0   \n",
       "\n",
       "       University Road  Zamzama  circular road  \n",
       "0                    0        0              0  \n",
       "1                    0        0              0  \n",
       "2                    0        0              0  \n",
       "3                    0        0              0  \n",
       "4                    0        0              0  \n",
       "...                ...      ...            ...  \n",
       "51020                0        0              0  \n",
       "51021                0        0              0  \n",
       "51022                0        0              0  \n",
       "51023                0        0              0  \n",
       "51024                0        0              0  \n",
       "\n",
       "[50807 rows x 196 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "location_dummy_df = pd.get_dummies(karachi_house_data['location'], dtype='int')\n",
    "location_dummy_df = location_dummy_df.drop('Teacher Society', axis=1)\n",
    "location_dummy_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['House', 'Flat', 'Lower Portion', 'Upper Portion'], dtype=object)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['property_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.],\n",
       "       [1.],\n",
       "       [0.],\n",
       "       ...,\n",
       "       [1.],\n",
       "       [1.],\n",
       "       [1.]])"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import OrdinalEncoder\n",
    "\n",
    "encoder = OrdinalEncoder()\n",
    "\n",
    "encoder.fit_transform(karachi_house_data[['property_type']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\2271391627.py:1: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  karachi_house_data['property_type'].replace({'House': 1, 'Flat': 2, 'Lower Portion': 3, 'Upper Portion': 4}, inplace=True)\n",
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\2271391627.py:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  karachi_house_data['property_type'].replace({'House': 1, 'Flat': 2, 'Lower Portion': 3, 'Upper Portion': 4}, inplace=True)\n",
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\2271391627.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data['property_type'].replace({'House': 1, 'Flat': 2, 'Lower Portion': 3, 'Upper Portion': 4}, inplace=True)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data['property_type'].replace({'House': 1, 'Flat': 2, 'Lower Portion': 3, 'Upper Portion': 4}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "property_type\n",
       "2    23425\n",
       "1    21180\n",
       "4     4069\n",
       "3     2133\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['property_type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "purpose\n",
       "For Sale    39553\n",
       "For Rent    11254\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data['purpose'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\1243255057.py:1: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  karachi_house_data['purpose'].replace({'For Rent': 1, 'For Sale': 2}, inplace=True)\n",
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\1243255057.py:1: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  karachi_house_data['purpose'].replace({'For Rent': 1, 'For Sale': 2}, inplace=True)\n",
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\1243255057.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data['purpose'].replace({'For Rent': 1, 'For Sale': 2}, inplace=True)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data['purpose'].replace({'For Rent': 1, 'For Sale': 2}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10676\\1134307611.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  karachi_house_data.drop(columns=['location'], inplace=True)\n"
     ]
    }
   ],
   "source": [
    "karachi_house_data.drop(columns=['location'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>350.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>130.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51020</th>\n",
       "      <td>1</td>\n",
       "      <td>265.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51021</th>\n",
       "      <td>1</td>\n",
       "      <td>125.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51022</th>\n",
       "      <td>1</td>\n",
       "      <td>270.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51023</th>\n",
       "      <td>1</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51024</th>\n",
       "      <td>1</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>50807 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh  baths  purpose  bedrooms     sq_ft  \\\n",
       "0                  1         4500.0      7        2         6  21780.00   \n",
       "1                  1          350.0      8        2         6   4356.02   \n",
       "2                  2          210.0      3        2         3  24230.34   \n",
       "3                  1           65.0      1        2         2   8712.03   \n",
       "4                  1          130.0      4        2         4  26136.10   \n",
       "...              ...            ...    ...      ...       ...       ...   \n",
       "51020              1          265.0      3        2         6  26136.10   \n",
       "51021              1          125.0      2        2         3   2178.01   \n",
       "51022              1          270.0      3        2         6  26136.10   \n",
       "51023              1          110.0      2        2         3  21235.58   \n",
       "51024              1           90.0      3        2         3  25591.59   \n",
       "\n",
       "       sq_yards  \n",
       "0       2420.00  \n",
       "1        484.00  \n",
       "2       2692.26  \n",
       "3        968.00  \n",
       "4       2904.01  \n",
       "...         ...  \n",
       "51020   2904.01  \n",
       "51021    242.00  \n",
       "51022   2904.01  \n",
       "51023   2359.51  \n",
       "51024   2843.51  \n",
       "\n",
       "[50807 rows x 7 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50807, 7)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "karachi_house_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50807, 196)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "location_dummy_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_ft</th>\n",
       "      <th>sq_yards</th>\n",
       "      <th>APP Employees Co-operative Housing Society</th>\n",
       "      <th>ASF Housing Scheme</th>\n",
       "      <th>ASF Tower</th>\n",
       "      <th>...</th>\n",
       "      <th>Suparco Road</th>\n",
       "      <th>Super Highway</th>\n",
       "      <th>Surti Muslim Co-Operative Housing Society</th>\n",
       "      <th>Tariq Road</th>\n",
       "      <th>Teachers Society</th>\n",
       "      <th>Times Residency</th>\n",
       "      <th>Tipu Sultan Road</th>\n",
       "      <th>University Road</th>\n",
       "      <th>Zamzama</th>\n",
       "      <th>circular road</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>21780.00</td>\n",
       "      <td>2420.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>350.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>4356.02</td>\n",
       "      <td>484.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>24230.34</td>\n",
       "      <td>2692.26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8712.03</td>\n",
       "      <td>968.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>130.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51020</th>\n",
       "      <td>1</td>\n",
       "      <td>265.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51021</th>\n",
       "      <td>1</td>\n",
       "      <td>125.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2178.01</td>\n",
       "      <td>242.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51022</th>\n",
       "      <td>1</td>\n",
       "      <td>270.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>26136.10</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51023</th>\n",
       "      <td>1</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>21235.58</td>\n",
       "      <td>2359.51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51024</th>\n",
       "      <td>1</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>25591.59</td>\n",
       "      <td>2843.51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>50807 rows × 203 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh  baths  purpose  bedrooms     sq_ft  \\\n",
       "0                  1         4500.0      7        2         6  21780.00   \n",
       "1                  1          350.0      8        2         6   4356.02   \n",
       "2                  2          210.0      3        2         3  24230.34   \n",
       "3                  1           65.0      1        2         2   8712.03   \n",
       "4                  1          130.0      4        2         4  26136.10   \n",
       "...              ...            ...    ...      ...       ...       ...   \n",
       "51020              1          265.0      3        2         6  26136.10   \n",
       "51021              1          125.0      2        2         3   2178.01   \n",
       "51022              1          270.0      3        2         6  26136.10   \n",
       "51023              1          110.0      2        2         3  21235.58   \n",
       "51024              1           90.0      3        2         3  25591.59   \n",
       "\n",
       "       sq_yards  APP Employees Co-operative Housing Society  \\\n",
       "0       2420.00                                           0   \n",
       "1        484.00                                           0   \n",
       "2       2692.26                                           0   \n",
       "3        968.00                                           0   \n",
       "4       2904.01                                           0   \n",
       "...         ...                                         ...   \n",
       "51020   2904.01                                           0   \n",
       "51021    242.00                                           0   \n",
       "51022   2904.01                                           0   \n",
       "51023   2359.51                                           0   \n",
       "51024   2843.51                                           0   \n",
       "\n",
       "       ASF Housing Scheme  ASF Tower  ...  Suparco Road  Super Highway  \\\n",
       "0                       0          0  ...             0              0   \n",
       "1                       0          0  ...             0              0   \n",
       "2                       0          0  ...             0              0   \n",
       "3                       0          0  ...             0              0   \n",
       "4                       0          0  ...             0              0   \n",
       "...                   ...        ...  ...           ...            ...   \n",
       "51020                   0          0  ...             0              0   \n",
       "51021                   0          0  ...             0              0   \n",
       "51022                   0          0  ...             0              0   \n",
       "51023                   0          0  ...             0              0   \n",
       "51024                   0          0  ...             0              0   \n",
       "\n",
       "       Surti Muslim Co-Operative Housing Society  Tariq Road  \\\n",
       "0                                              0           0   \n",
       "1                                              0           0   \n",
       "2                                              0           0   \n",
       "3                                              0           0   \n",
       "4                                              0           0   \n",
       "...                                          ...         ...   \n",
       "51020                                          0           0   \n",
       "51021                                          0           0   \n",
       "51022                                          0           0   \n",
       "51023                                          0           0   \n",
       "51024                                          0           0   \n",
       "\n",
       "       Teachers Society  Times Residency  Tipu Sultan Road  University Road  \\\n",
       "0                     0                0                 0                0   \n",
       "1                     0                0                 0                0   \n",
       "2                     0                0                 0                0   \n",
       "3                     0                0                 0                0   \n",
       "4                     0                0                 0                0   \n",
       "...                 ...              ...               ...              ...   \n",
       "51020                 0                0                 0                0   \n",
       "51021                 0                0                 0                0   \n",
       "51022                 0                0                 0                0   \n",
       "51023                 0                0                 0                0   \n",
       "51024                 0                0                 0                0   \n",
       "\n",
       "       Zamzama  circular road  \n",
       "0            0              0  \n",
       "1            0              0  \n",
       "2            0              0  \n",
       "3            0              0  \n",
       "4            0              0  \n",
       "...        ...            ...  \n",
       "51020        0              0  \n",
       "51021        0              0  \n",
       "51022        0              0  \n",
       "51023        0              0  \n",
       "51024        0              0  \n",
       "\n",
       "[50807 rows x 203 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "processed_df = pd.concat([karachi_house_data, location_dummy_df], axis=1)\n",
    "processed_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "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>sq_ft</th>\n",
       "      <th>price_in_lakh</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sq_ft</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.068026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price_in_lakh</th>\n",
       "      <td>0.068026</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  sq_ft  price_in_lakh\n",
       "sq_ft          1.000000       0.068026\n",
       "price_in_lakh  0.068026       1.000000"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "processed_df[['sq_ft', 'price_in_lakh']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "processed_df.drop(columns=['sq_ft'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "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>property_type</th>\n",
       "      <th>price_in_lakh</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_yards</th>\n",
       "      <th>APP Employees Co-operative Housing Society</th>\n",
       "      <th>ASF Housing Scheme</th>\n",
       "      <th>ASF Tower</th>\n",
       "      <th>Abdullah Ahmed Road</th>\n",
       "      <th>...</th>\n",
       "      <th>Suparco Road</th>\n",
       "      <th>Super Highway</th>\n",
       "      <th>Surti Muslim Co-Operative Housing Society</th>\n",
       "      <th>Tariq Road</th>\n",
       "      <th>Teachers Society</th>\n",
       "      <th>Times Residency</th>\n",
       "      <th>Tipu Sultan Road</th>\n",
       "      <th>University Road</th>\n",
       "      <th>Zamzama</th>\n",
       "      <th>circular road</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>4500.0</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2420.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>350.0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>484.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2692.26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>968.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>130.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51020</th>\n",
       "      <td>1</td>\n",
       "      <td>265.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51021</th>\n",
       "      <td>1</td>\n",
       "      <td>125.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>242.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51022</th>\n",
       "      <td>1</td>\n",
       "      <td>270.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51023</th>\n",
       "      <td>1</td>\n",
       "      <td>110.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2359.51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51024</th>\n",
       "      <td>1</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2843.51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>50807 rows × 202 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       property_type  price_in_lakh  baths  purpose  bedrooms  sq_yards  \\\n",
       "0                  1         4500.0      7        2         6   2420.00   \n",
       "1                  1          350.0      8        2         6    484.00   \n",
       "2                  2          210.0      3        2         3   2692.26   \n",
       "3                  1           65.0      1        2         2    968.00   \n",
       "4                  1          130.0      4        2         4   2904.01   \n",
       "...              ...            ...    ...      ...       ...       ...   \n",
       "51020              1          265.0      3        2         6   2904.01   \n",
       "51021              1          125.0      2        2         3    242.00   \n",
       "51022              1          270.0      3        2         6   2904.01   \n",
       "51023              1          110.0      2        2         3   2359.51   \n",
       "51024              1           90.0      3        2         3   2843.51   \n",
       "\n",
       "       APP Employees Co-operative Housing Society  ASF Housing Scheme  \\\n",
       "0                                               0                   0   \n",
       "1                                               0                   0   \n",
       "2                                               0                   0   \n",
       "3                                               0                   0   \n",
       "4                                               0                   0   \n",
       "...                                           ...                 ...   \n",
       "51020                                           0                   0   \n",
       "51021                                           0                   0   \n",
       "51022                                           0                   0   \n",
       "51023                                           0                   0   \n",
       "51024                                           0                   0   \n",
       "\n",
       "       ASF Tower  Abdullah Ahmed Road  ...  Suparco Road  Super Highway  \\\n",
       "0              0                    0  ...             0              0   \n",
       "1              0                    0  ...             0              0   \n",
       "2              0                    0  ...             0              0   \n",
       "3              0                    0  ...             0              0   \n",
       "4              0                    0  ...             0              0   \n",
       "...          ...                  ...  ...           ...            ...   \n",
       "51020          0                    0  ...             0              0   \n",
       "51021          0                    0  ...             0              0   \n",
       "51022          0                    0  ...             0              0   \n",
       "51023          0                    0  ...             0              0   \n",
       "51024          0                    0  ...             0              0   \n",
       "\n",
       "       Surti Muslim Co-Operative Housing Society  Tariq Road  \\\n",
       "0                                              0           0   \n",
       "1                                              0           0   \n",
       "2                                              0           0   \n",
       "3                                              0           0   \n",
       "4                                              0           0   \n",
       "...                                          ...         ...   \n",
       "51020                                          0           0   \n",
       "51021                                          0           0   \n",
       "51022                                          0           0   \n",
       "51023                                          0           0   \n",
       "51024                                          0           0   \n",
       "\n",
       "       Teachers Society  Times Residency  Tipu Sultan Road  University Road  \\\n",
       "0                     0                0                 0                0   \n",
       "1                     0                0                 0                0   \n",
       "2                     0                0                 0                0   \n",
       "3                     0                0                 0                0   \n",
       "4                     0                0                 0                0   \n",
       "...                 ...              ...               ...              ...   \n",
       "51020                 0                0                 0                0   \n",
       "51021                 0                0                 0                0   \n",
       "51022                 0                0                 0                0   \n",
       "51023                 0                0                 0                0   \n",
       "51024                 0                0                 0                0   \n",
       "\n",
       "       Zamzama  circular road  \n",
       "0            0              0  \n",
       "1            0              0  \n",
       "2            0              0  \n",
       "3            0              0  \n",
       "4            0              0  \n",
       "...        ...            ...  \n",
       "51020        0              0  \n",
       "51021        0              0  \n",
       "51022        0              0  \n",
       "51023        0              0  \n",
       "51024        0              0  \n",
       "\n",
       "[50807 rows x 202 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "processed_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train/Test Splitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Feature variables\n",
    "X = processed_df.drop(columns=['price_in_lakh'])\n",
    "\n",
    "# Target variable\n",
    "y = processed_df['price_in_lakh']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "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>property_type</th>\n",
       "      <th>baths</th>\n",
       "      <th>purpose</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>sq_yards</th>\n",
       "      <th>APP Employees Co-operative Housing Society</th>\n",
       "      <th>ASF Housing Scheme</th>\n",
       "      <th>ASF Tower</th>\n",
       "      <th>Abdullah Ahmed Road</th>\n",
       "      <th>Abdullah Haroon Road</th>\n",
       "      <th>...</th>\n",
       "      <th>Suparco Road</th>\n",
       "      <th>Super Highway</th>\n",
       "      <th>Surti Muslim Co-Operative Housing Society</th>\n",
       "      <th>Tariq Road</th>\n",
       "      <th>Teachers Society</th>\n",
       "      <th>Times Residency</th>\n",
       "      <th>Tipu Sultan Road</th>\n",
       "      <th>University Road</th>\n",
       "      <th>Zamzama</th>\n",
       "      <th>circular road</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2420.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>484.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2692.26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>968.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2904.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 201 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   property_type  baths  purpose  bedrooms  sq_yards  \\\n",
       "0              1      7        2         6   2420.00   \n",
       "1              1      8        2         6    484.00   \n",
       "2              2      3        2         3   2692.26   \n",
       "3              1      1        2         2    968.00   \n",
       "4              1      4        2         4   2904.01   \n",
       "\n",
       "   APP Employees Co-operative Housing Society  ASF Housing Scheme  ASF Tower  \\\n",
       "0                                           0                   0          0   \n",
       "1                                           0                   0          0   \n",
       "2                                           0                   0          0   \n",
       "3                                           0                   0          0   \n",
       "4                                           0                   0          0   \n",
       "\n",
       "   Abdullah Ahmed Road  Abdullah Haroon Road  ...  Suparco Road  \\\n",
       "0                    0                     0  ...             0   \n",
       "1                    0                     0  ...             0   \n",
       "2                    0                     0  ...             0   \n",
       "3                    0                     0  ...             0   \n",
       "4                    0                     0  ...             0   \n",
       "\n",
       "   Super Highway  Surti Muslim Co-Operative Housing Society  Tariq Road  \\\n",
       "0              0                                          0           0   \n",
       "1              0                                          0           0   \n",
       "2              0                                          0           0   \n",
       "3              0                                          0           0   \n",
       "4              0                                          0           0   \n",
       "\n",
       "   Teachers Society  Times Residency  Tipu Sultan Road  University Road  \\\n",
       "0                 0                0                 0                0   \n",
       "1                 0                0                 0                0   \n",
       "2                 0                0                 0                0   \n",
       "3                 0                0                 0                0   \n",
       "4                 0                0                 0                0   \n",
       "\n",
       "   Zamzama  circular road  \n",
       "0        0              0  \n",
       "1        0              0  \n",
       "2        0              0  \n",
       "3        0              0  \n",
       "4        0              0  \n",
       "\n",
       "[5 rows x 201 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50807, 201)"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    4500.0\n",
       "1     350.0\n",
       "2     210.0\n",
       "3      65.0\n",
       "4     130.0\n",
       "Name: price_in_lakh, dtype: float64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training set size: (40645, 201)\n",
      "Test set size: (10162, 201)\n"
     ]
    }
   ],
   "source": [
    "print(\"Training set size: {}\\nTest set size: {}\".format(X_train.shape, X_test.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "47837    130.00\n",
       "43692    350.00\n",
       "13804      1.40\n",
       "27016    130.00\n",
       "8085       0.55\n",
       "          ...  \n",
       "28171     33.00\n",
       "50713      0.80\n",
       "29357     80.00\n",
       "40259    150.00\n",
       "17786    102.00\n",
       "Name: price_in_lakh, Length: 40645, dtype: float64"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Selection and Building"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using Regression Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n",
    "\n",
    "def evaluate_model(y_test, y_pred):\n",
    "    rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
    "    mae = mean_absolute_error(y_test, y_pred)\n",
    "    r2 = r2_score(y_test, y_pred)\n",
    "    print(\"RMSE: {}\\nMAE: {}\\nR2: {}\".format(rmse, mae, r2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 22059067252.78457\n",
      "MAE: 240453834.82843763\n",
      "R2: -4035760573379048.5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import Lasso, Ridge, LinearRegression\n",
    "\n",
    "\n",
    "mdl = LinearRegression()\n",
    "\n",
    "mdl.fit(X_train, y_train)\n",
    "\n",
    "y_pred = mdl.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 262.24248661459467\n",
      "MAE: 138.24057293157455\n",
      "R2: 0.42962929390288707\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "mdl = Ridge(alpha=1.0)\n",
    "\n",
    "mdl.fit(X_train, y_train)\n",
    "\n",
    "y_pred = mdl.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 267.6657954394093\n",
      "MAE: 140.15514175446634\n",
      "R2: 0.405794239550926\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "mdl = Lasso(alpha=1)\n",
    "\n",
    "mdl.fit(X_train, y_train)\n",
    "\n",
    "y_pred = mdl.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Linear regression, Ridge and Lasso models perfomance is poor on our data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 160.26981676758533\n",
      "MAE: 38.37451987397279\n",
      "R2: 0.7869632222809516\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "mdl = DecisionTreeRegressor()\n",
    "\n",
    "mdl.fit(X_train, y_train)\n",
    "\n",
    "y_pred = mdl.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 133.3999043888561\n",
      "MAE: 38.12158861641245\n",
      "R2: 0.8524082302365903\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "dt = DecisionTreeRegressor(max_depth=5)\n",
    "\n",
    "r_mdl = RandomForestRegressor(max_depth=20)\n",
    "\n",
    "r_mdl.fit(X_train, y_train)\n",
    "\n",
    "y_pred = r_mdl.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 129.3398445087417\n",
      "MAE: 42.91518261862018\n",
      "R2: 0.8612555010900798\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "from xgboost import XGBRegressor\n",
    "\n",
    "xgb_mdl = XGBRegressor(n_estimators=300, learning_rate=0.08, gamma=0, subsample=0.75)\n",
    "\n",
    "xgb_mdl.fit(X_train, y_train)\n",
    "\n",
    "y_pred = xgb_mdl.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using K-Fold for cross validation and GridSearch or RandomizedSearch for hyper parameter tuning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.8529697 , 0.87371385, 0.8614399 , 0.76669876, 0.90824497])"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "kfold = KFold(n_splits=5, shuffle=True, random_state=42)\n",
    "\n",
    "cross_val_score(r_mdl, X, y, cv=kfold, n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 9 candidates, totalling 45 fits\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=RandomForestRegressor(max_depth=20), n_jobs=-1,\n",
       "             param_grid={&#x27;max_depth&#x27;: [10, 20, None],\n",
       "                         &#x27;n_estimators&#x27;: [100, 200, 300]},\n",
       "             verbose=2)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;GridSearchCV<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.model_selection.GridSearchCV.html\">?<span>Documentation for GridSearchCV</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>GridSearchCV(cv=5, estimator=RandomForestRegressor(max_depth=20), n_jobs=-1,\n",
       "             param_grid={&#x27;max_depth&#x27;: [10, 20, None],\n",
       "                         &#x27;n_estimators&#x27;: [100, 200, 300]},\n",
       "             verbose=2)</pre></div> </div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">best_estimator_: RandomForestRegressor</label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestRegressor(max_depth=20, n_estimators=300)</pre></div> </div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;RandomForestRegressor<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html\">?<span>Documentation for RandomForestRegressor</span></a></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestRegressor(max_depth=20, n_estimators=300)</pre></div> </div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "GridSearchCV(cv=5, estimator=RandomForestRegressor(max_depth=20), n_jobs=-1,\n",
       "             param_grid={'max_depth': [10, 20, None],\n",
       "                         'n_estimators': [100, 200, 300]},\n",
       "             verbose=2)"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "param_grid = {\n",
    "    'n_estimators': [100, 200, 300],  # Number of trees\n",
    "    'max_depth': [10, 20, None],      # Maximum depth  \n",
    "}\n",
    "\n",
    "\n",
    "random_search = GridSearchCV(estimator=r_mdl, param_grid=param_grid, n_jobs=-1, cv=5, verbose=2)\n",
    "\n",
    "random_search.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE: 133.10819692581072\n",
      "MAE: 38.03973996136817\n",
      "R2: 0.8530530065269413\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\metrics\\_regression.py:492: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "best_model = random_search.best_estimator_\n",
    "\n",
    "y_pred = best_model.predict(X_test)\n",
    "\n",
    "evaluate_model(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['property_type', 'baths', 'purpose', 'bedrooms', 'sq_yards',\n",
       "       'APP Employees Co-operative Housing Society', 'ASF Housing Scheme',\n",
       "       'ASF Tower', 'Abdullah Ahmed Road', 'Abdullah Haroon Road',\n",
       "       ...\n",
       "       'Suparco Road', 'Super Highway',\n",
       "       'Surti Muslim Co-Operative Housing Society', 'Tariq Road',\n",
       "       'Teachers Society', 'Times Residency', 'Tipu Sultan Road',\n",
       "       'University Road', 'Zamzama', 'circular road'],\n",
       "      dtype='object', length=201)"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "property_type = {'House': 1, 'Flat': 2, 'Lower Portion': 3, 'Upper Portion': 4}\n",
    "purpose = {'For Rent': 1, 'For Sale': 2}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "d:\\Ali Work\\Data Science Work\\machine-learning-house-price-predcition\\.venv\\Lib\\site-packages\\sklearn\\base.py:493: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([54.71342758])"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "loc_index = np.where(X.columns == \"Nazimabad\")[0][0]\n",
    "\n",
    "x = np.zeros(len(X.columns))\n",
    "x[0] = 1\n",
    "x[1] = 3\n",
    "x[2] = 2\n",
    "x[3] = 3\n",
    "x[4] = 80\n",
    "\n",
    "if loc_index >= 0:\n",
    "    x[loc_index] = 1\n",
    "\n",
    "\n",
    "best_model.predict([x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "pickle.dump(best_model, open(\"model.pkl\", \"wb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns_dict = { 'columns' : X.columns.to_list()}\n",
    "\n",
    "with open('columns.json', 'w') as f:\n",
    "    f.write(json.dumps(columns_dict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}