{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e85840e2-6b98-4ac7-8c3d-8260346e91ad",
   "metadata": {},
   "outputs": [],
   "source": [
    " import pandas as pd\n",
    " import numpy as n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "790e523c-eba1-40aa-9f41-0cecafe0cf47",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>area</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>stories</th>\n",
       "      <th>mainroad</th>\n",
       "      <th>guestroom</th>\n",
       "      <th>basement</th>\n",
       "      <th>hotwaterheating</th>\n",
       "      <th>airconditioning</th>\n",
       "      <th>parking</th>\n",
       "      <th>prefarea</th>\n",
       "      <th>furnishingstatus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13300000</td>\n",
       "      <td>7420</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>furnished</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12250000</td>\n",
       "      <td>8960</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>3</td>\n",
       "      <td>no</td>\n",
       "      <td>furnished</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12250000</td>\n",
       "      <td>9960</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>semi-furnished</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12215000</td>\n",
       "      <td>7500</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>3</td>\n",
       "      <td>yes</td>\n",
       "      <td>furnished</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11410000</td>\n",
       "      <td>7420</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>2</td>\n",
       "      <td>no</td>\n",
       "      <td>furnished</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      price  area  bedrooms  bathrooms  stories mainroad guestroom basement  \\\n",
       "0  13300000  7420         4          2        3      yes        no       no   \n",
       "1  12250000  8960         4          4        4      yes        no       no   \n",
       "2  12250000  9960         3          2        2      yes        no      yes   \n",
       "3  12215000  7500         4          2        2      yes        no      yes   \n",
       "4  11410000  7420         4          1        2      yes       yes      yes   \n",
       "\n",
       "  hotwaterheating airconditioning  parking prefarea furnishingstatus  \n",
       "0              no             yes        2      yes        furnished  \n",
       "1              no             yes        3       no        furnished  \n",
       "2              no              no        2      yes   semi-furnished  \n",
       "3              no             yes        3      yes        furnished  \n",
       "4              no             yes        2       no        furnished  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load your dataset into a DataFrame\n",
    "df = pd.read_csv('Housing_Dataset.csv')\n",
    "# Preview the first 5 rows\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2d8bd866-dcd5-4fc5-b96e-f4a38d026eb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price                int64\n",
       "area                 int64\n",
       "bedrooms             int64\n",
       "bathrooms            int64\n",
       "stories              int64\n",
       "mainroad            object\n",
       "guestroom           object\n",
       "basement            object\n",
       "hotwaterheating     object\n",
       "airconditioning     object\n",
       "parking              int64\n",
       "prefarea            object\n",
       "furnishingstatus    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bb35fa79-0ba7-4bf2-8973-2aa9f0bcd3e2",
   "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>area</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>stories</th>\n",
       "      <th>parking</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.450000e+02</td>\n",
       "      <td>545.000000</td>\n",
       "      <td>545.000000</td>\n",
       "      <td>545.000000</td>\n",
       "      <td>545.000000</td>\n",
       "      <td>545.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.766729e+06</td>\n",
       "      <td>5150.541284</td>\n",
       "      <td>2.965138</td>\n",
       "      <td>1.286239</td>\n",
       "      <td>1.805505</td>\n",
       "      <td>0.693578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.870440e+06</td>\n",
       "      <td>2170.141023</td>\n",
       "      <td>0.738064</td>\n",
       "      <td>0.502470</td>\n",
       "      <td>0.867492</td>\n",
       "      <td>0.861586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.750000e+06</td>\n",
       "      <td>1650.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.430000e+06</td>\n",
       "      <td>3600.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.340000e+06</td>\n",
       "      <td>4600.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.740000e+06</td>\n",
       "      <td>6360.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.330000e+07</td>\n",
       "      <td>16200.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              price          area    bedrooms   bathrooms     stories  \\\n",
       "count  5.450000e+02    545.000000  545.000000  545.000000  545.000000   \n",
       "mean   4.766729e+06   5150.541284    2.965138    1.286239    1.805505   \n",
       "std    1.870440e+06   2170.141023    0.738064    0.502470    0.867492   \n",
       "min    1.750000e+06   1650.000000    1.000000    1.000000    1.000000   \n",
       "25%    3.430000e+06   3600.000000    2.000000    1.000000    1.000000   \n",
       "50%    4.340000e+06   4600.000000    3.000000    1.000000    2.000000   \n",
       "75%    5.740000e+06   6360.000000    3.000000    2.000000    2.000000   \n",
       "max    1.330000e+07  16200.000000    6.000000    4.000000    4.000000   \n",
       "\n",
       "          parking  \n",
       "count  545.000000  \n",
       "mean     0.693578  \n",
       "std      0.861586  \n",
       "min      0.000000  \n",
       "25%      0.000000  \n",
       "50%      0.000000  \n",
       "75%      1.000000  \n",
       "max      3.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "73872639-0ec9-42e2-9e05-0b72378927bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price               0\n",
       "area                0\n",
       "bedrooms            0\n",
       "bathrooms           0\n",
       "stories             0\n",
       "mainroad            0\n",
       "guestroom           0\n",
       "basement            0\n",
       "hotwaterheating     0\n",
       "airconditioning     0\n",
       "parking             0\n",
       "prefarea            0\n",
       "furnishingstatus    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "65218f24-d68f-4557-a4cf-98898202d23e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns dropped: []\n",
      "Remaining columns: Index(['price', 'area', 'bedrooms', 'bathrooms', 'stories', 'mainroad',\n",
      "       'guestroom', 'basement', 'hotwaterheating', 'airconditioning',\n",
      "       'parking', 'prefarea', 'furnishingstatus'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = df.isnull().mean() * 100\n",
    "threshold = 30 \n",
    "# Filter columns with more than the threshold percentage of missing values\n",
    "columns_to_drop = missing_percentage[missing_percentage > threshold].index\n",
    " # Drop the columns\n",
    "df = df.drop(columns=columns_to_drop)\n",
    " # Display the resulting dataframe after removing columns with too many missing valu\n",
    "print(f\"Columns dropped: {list(columns_to_drop)}\")\n",
    "print(f\"Remaining columns: {df.columns}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e191d0fd-f3d9-43cd-8097-47bb733ba638",
   "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>area</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>stories</th>\n",
       "      <th>mainroad</th>\n",
       "      <th>guestroom</th>\n",
       "      <th>basement</th>\n",
       "      <th>hotwaterheating</th>\n",
       "      <th>airconditioning</th>\n",
       "      <th>parking</th>\n",
       "      <th>prefarea</th>\n",
       "      <th>furnishingstatus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13300000</td>\n",
       "      <td>7420</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12250000</td>\n",
       "      <td>8960</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12250000</td>\n",
       "      <td>9960</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12215000</td>\n",
       "      <td>7500</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11410000</td>\n",
       "      <td>7420</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      price  area  bedrooms  bathrooms  stories  mainroad  guestroom  \\\n",
       "0  13300000  7420         4          2        3         1          0   \n",
       "1  12250000  8960         4          4        4         1          0   \n",
       "2  12250000  9960         3          2        2         1          0   \n",
       "3  12215000  7500         4          2        2         1          0   \n",
       "4  11410000  7420         4          1        2         1          1   \n",
       "\n",
       "   basement  hotwaterheating  airconditioning  parking  prefarea  \\\n",
       "0         0                0                1        2         1   \n",
       "1         0                0                1        3         0   \n",
       "2         1                0                0        2         1   \n",
       "3         1                0                1        3         1   \n",
       "4         1                0                1        2         0   \n",
       "\n",
       "   furnishingstatus  \n",
       "0                 0  \n",
       "1                 0  \n",
       "2                 1  \n",
       "3                 0  \n",
       "4                 0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "label_encoder = LabelEncoder()\n",
    "for column in df.select_dtypes(include=['object']).columns:\n",
    " \n",
    "    df[column] = label_encoder.fit_transform(df[column])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "655aa1a3-0a02-465f-a39b-6faed7478384",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values in  columns with mode\n",
    "for column in df.select_dtypes(include=['float64']).columns:\n",
    "    mean_value = df[column].mean()  # Get the mode (most frequent value)\n",
    "    df[column] = df[column].fillna(mean_value) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9eb51c0d-7e22-4ca4-8ba9-1d4382198da0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values in categorical columns with mode\n",
    "for column in df.select_dtypes(include=['object']).columns:\n",
    "    mode_value = df[column].mode()[0]  # Get the mode (most frequent value)\n",
    "    df[column] = df[column].fillna(mode_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e1a2ca66-a778-47bb-9a24-2bd768cb6bcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price               0\n",
       "area                0\n",
       "bedrooms            0\n",
       "bathrooms           0\n",
       "stories             0\n",
       "mainroad            0\n",
       "guestroom           0\n",
       "basement            0\n",
       "hotwaterheating     0\n",
       "airconditioning     0\n",
       "parking             0\n",
       "prefarea            0\n",
       "furnishingstatus    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "352a3211-643f-43c4-b306-3379ec47d7bb",
   "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>area</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>stories</th>\n",
       "      <th>mainroad</th>\n",
       "      <th>guestroom</th>\n",
       "      <th>basement</th>\n",
       "      <th>hotwaterheating</th>\n",
       "      <th>airconditioning</th>\n",
       "      <th>parking</th>\n",
       "      <th>prefarea</th>\n",
       "      <th>furnishingstatus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>13300000</td>\n",
       "      <td>7420</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12250000</td>\n",
       "      <td>8960</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12250000</td>\n",
       "      <td>9960</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12215000</td>\n",
       "      <td>7500</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11410000</td>\n",
       "      <td>7420</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>1820000</td>\n",
       "      <td>3000</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>1767150</td>\n",
       "      <td>2400</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>1750000</td>\n",
       "      <td>3620</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>1750000</td>\n",
       "      <td>2910</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>1750000</td>\n",
       "      <td>3850</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>545 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        price  area  bedrooms  bathrooms  stories  mainroad  guestroom  \\\n",
       "0    13300000  7420         4          2        3         1          0   \n",
       "1    12250000  8960         4          4        4         1          0   \n",
       "2    12250000  9960         3          2        2         1          0   \n",
       "3    12215000  7500         4          2        2         1          0   \n",
       "4    11410000  7420         4          1        2         1          1   \n",
       "..        ...   ...       ...        ...      ...       ...        ...   \n",
       "540   1820000  3000         2          1        1         1          0   \n",
       "541   1767150  2400         3          1        1         0          0   \n",
       "542   1750000  3620         2          1        1         1          0   \n",
       "543   1750000  2910         3          1        1         0          0   \n",
       "544   1750000  3850         3          1        2         1          0   \n",
       "\n",
       "     basement  hotwaterheating  airconditioning  parking  prefarea  \\\n",
       "0           0                0                1        2         1   \n",
       "1           0                0                1        3         0   \n",
       "2           1                0                0        2         1   \n",
       "3           1                0                1        3         1   \n",
       "4           1                0                1        2         0   \n",
       "..        ...              ...              ...      ...       ...   \n",
       "540         1                0                0        2         0   \n",
       "541         0                0                0        0         0   \n",
       "542         0                0                0        0         0   \n",
       "543         0                0                0        0         0   \n",
       "544         0                0                0        0         0   \n",
       "\n",
       "     furnishingstatus  \n",
       "0                   0  \n",
       "1                   0  \n",
       "2                   1  \n",
       "3                   0  \n",
       "4                   0  \n",
       "..                ...  \n",
       "540                 2  \n",
       "541                 1  \n",
       "542                 2  \n",
       "543                 0  \n",
       "544                 2  \n",
       "\n",
       "[545 rows x 13 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3693d7c3-5f10-4270-957e-7b58ef147016",
   "metadata": {},
   "outputs": [],
   "source": [
    "def replace_outliers_with_nan(column):\n",
    "    Q1 = column.quantile(0.25)\n",
    "    Q3 = column.quantile(0.75)\n",
    "    IQR = Q3 - Q1\n",
    "    lower_bound = Q1 - 1.5 * IQR\n",
    "    upper_bound = Q3 + 1.5 * IQR\n",
    "    # Replace outliers with NaN\n",
    "    return column.where((column >= lower_bound) & (column <= upper_bound), np.nan)\n",
    " # Replace outliers with NaN for each feature\n",
    "for col in df.columns:\n",
    "    df[col] = replace_outliers_with_nan(df[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d76569c8-680c-4985-8e47-cc5cd601f2a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of null values in each column:\n",
      "price                15\n",
      "area                 12\n",
      "bedrooms             12\n",
      "bathrooms             1\n",
      "stories              41\n",
      "mainroad             77\n",
      "guestroom            97\n",
      "basement              0\n",
      "hotwaterheating      25\n",
      "airconditioning       0\n",
      "parking              12\n",
      "prefarea            128\n",
      "furnishingstatus      0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "null_counts = df.isnull().sum()\n",
    "print(\"Sum of null values in each column:\")\n",
    "print(null_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e649edbf-954b-49d0-9678-de9afa1bbad2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x2400 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Reload the original dataset for before/after comparison\n",
    "original_df = pd.read_csv('Housing_Dataset.csv')\n",
    "\n",
    "# Columns of interest for visualization\n",
    "numeric_columns = ['price', 'area', 'bedrooms', 'bathrooms', 'stories', 'parking']\n",
    "\n",
    "# Create a copy of the cleaned dataframe from the notebook\n",
    "cleaned_df = df.copy()\n",
    "\n",
    "# Set up the visualization\n",
    "fig, axes = plt.subplots(len(numeric_columns), 2, figsize=(14, 24))\n",
    "fig.suptitle(\"Before and After Outlier Removal (IQR Method)\", fontsize=16)\n",
    "\n",
    "for i, col in enumerate(numeric_columns):\n",
    "    sns.boxplot(data=original_df, x=col, ax=axes[i, 0], color='lightblue')\n",
    "    axes[i, 0].set_title(f\"{col} (Before)\")\n",
    "\n",
    "    sns.boxplot(data=cleaned_df, x=col, ax=axes[i, 1], color='lightgreen')\n",
    "    axes[i, 1].set_title(f\"{col} (After)\")\n",
    "\n",
    "plt.tight_layout(rect=[0, 0.03, 1, 0.97])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fe3672cf-18ef-4e0d-af38-b1cf04ad2116",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.heatmap(df.isnull(), cbar=False, cmap=\"YlGnBu\", yticklabels=False)\n",
    "plt.title(\"Missing Values Heatmap\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4f9dd6e8-f42c-41a0-aa9e-025aad8cfcf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mainroad     77\n",
       "prefarea    128\n",
       "dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['mainroad', 'prefarea']].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6167e919-ed6c-4a2a-8f25-4eb958defdc2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\MohammadNaeem\\AppData\\Local\\Temp\\ipykernel_17088\\4141062737.py:11: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x=missing_data.index, y='% Missing', data=missing_data, palette=\"Blues_d\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing Count</th>\n",
       "      <th>% Missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>prefarea</th>\n",
       "      <td>128</td>\n",
       "      <td>23.486239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>guestroom</th>\n",
       "      <td>97</td>\n",
       "      <td>17.798165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mainroad</th>\n",
       "      <td>77</td>\n",
       "      <td>14.128440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stories</th>\n",
       "      <td>41</td>\n",
       "      <td>7.522936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hotwaterheating</th>\n",
       "      <td>25</td>\n",
       "      <td>4.587156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>15</td>\n",
       "      <td>2.752294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parking</th>\n",
       "      <td>12</td>\n",
       "      <td>2.201835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>12</td>\n",
       "      <td>2.201835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>12</td>\n",
       "      <td>2.201835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>1</td>\n",
       "      <td>0.183486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>basement</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>airconditioning</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>furnishingstatus</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Missing Count  % Missing\n",
       "prefarea                    128  23.486239\n",
       "guestroom                    97  17.798165\n",
       "mainroad                     77  14.128440\n",
       "stories                      41   7.522936\n",
       "hotwaterheating              25   4.587156\n",
       "price                        15   2.752294\n",
       "parking                      12   2.201835\n",
       "area                         12   2.201835\n",
       "bedrooms                     12   2.201835\n",
       "bathrooms                     1   0.183486\n",
       "basement                      0   0.000000\n",
       "airconditioning               0   0.000000\n",
       "furnishingstatus              0   0.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyze missing values in all columns\n",
    "missing_data = df.isnull().sum().to_frame(name='Missing Count')\n",
    "missing_data['% Missing'] = (missing_data['Missing Count'] / len(df)) * 100\n",
    "missing_data = missing_data.sort_values(by='% Missing', ascending=False)\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Visualize the missing value percentages\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=missing_data.index, y='% Missing', data=missing_data, palette=\"Blues_d\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylabel(\"Percentage of Missing Values\")\n",
    "plt.title(\"Missing Value Percentage by Column\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "missing_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "244ca3ea-a40c-45cb-881a-25efef11f25f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price               0\n",
       "area                0\n",
       "bedrooms            0\n",
       "bathrooms           0\n",
       "stories             0\n",
       "mainroad            0\n",
       "guestroom           0\n",
       "basement            0\n",
       "hotwaterheating     0\n",
       "airconditioning     0\n",
       "parking             0\n",
       "prefarea            0\n",
       "furnishingstatus    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.impute import KNNImputer\n",
    "\n",
    "# Select only numerical columns from the DataFrame\n",
    "numeric_df = df.select_dtypes(include=['int64', 'float64'])\n",
    "\n",
    "# Apply KNN Imputer\n",
    "knn_imputer = KNNImputer(n_neighbors=5)\n",
    "imputed_numeric = knn_imputer.fit_transform(numeric_df)\n",
    "\n",
    "# Replace the original numerical columns with the imputed ones\n",
    "df[numeric_df.columns] = imputed_numeric\n",
    "\n",
    "# Confirm no more missing values in numerical data\n",
    "df[numeric_df.columns].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bdf54851-4b7a-41a0-be75-7cb5c333a0b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\MohammadNaeem\\AppData\\Local\\Temp\\ipykernel_17088\\4141062737.py:11: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(x=missing_data.index, y='% Missing', data=missing_data, palette=\"Blues_d\")\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Missing Count</th>\n",
       "      <th>% Missing</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stories</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mainroad</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>guestroom</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>basement</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hotwaterheating</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>airconditioning</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parking</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prefarea</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>furnishingstatus</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Missing Count  % Missing\n",
       "price                         0        0.0\n",
       "area                          0        0.0\n",
       "bedrooms                      0        0.0\n",
       "bathrooms                     0        0.0\n",
       "stories                       0        0.0\n",
       "mainroad                      0        0.0\n",
       "guestroom                     0        0.0\n",
       "basement                      0        0.0\n",
       "hotwaterheating               0        0.0\n",
       "airconditioning               0        0.0\n",
       "parking                       0        0.0\n",
       "prefarea                      0        0.0\n",
       "furnishingstatus              0        0.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyze missing values in all columns\n",
    "missing_data = df.isnull().sum().to_frame(name='Missing Count')\n",
    "missing_data['% Missing'] = (missing_data['Missing Count'] / len(df)) * 100\n",
    "missing_data = missing_data.sort_values(by='% Missing', ascending=False)\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Visualize the missing value percentages\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=missing_data.index, y='% Missing', data=missing_data, palette=\"Blues_d\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylabel(\"Percentage of Missing Values\")\n",
    "plt.title(\"Missing Value Percentage by Column\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "missing_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "66c5a260-6447-4dc5-a650-3c3a0fc4ab30",
   "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>Mean (Before)</th>\n",
       "      <th>Median (Before)</th>\n",
       "      <th>Std (Before)</th>\n",
       "      <th>Mean (After)</th>\n",
       "      <th>Median (After)</th>\n",
       "      <th>Std (After)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>4.766729e+06</td>\n",
       "      <td>4340000.0</td>\n",
       "      <td>1.870440e+06</td>\n",
       "      <td>4.640095e+06</td>\n",
       "      <td>4340000.0</td>\n",
       "      <td>1.596359e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>area</th>\n",
       "      <td>5.150541e+03</td>\n",
       "      <td>4600.0</td>\n",
       "      <td>2.170141e+03</td>\n",
       "      <td>5.015500e+03</td>\n",
       "      <td>4560.0</td>\n",
       "      <td>1.859964e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>2.965138e+00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.380639e-01</td>\n",
       "      <td>2.925505e+00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.622925e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>1.286239e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.024696e-01</td>\n",
       "      <td>1.281101e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.887998e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stories</th>\n",
       "      <td>1.805505e+00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.674925e-01</td>\n",
       "      <td>1.656147e+00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.111734e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mainroad</th>\n",
       "      <td>8.587156e-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.486347e-01</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>guestroom</th>\n",
       "      <td>1.779817e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.828487e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>basement</th>\n",
       "      <td>3.504587e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.775519e-01</td>\n",
       "      <td>3.504587e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.775519e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hotwaterheating</th>\n",
       "      <td>4.587156e-02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.093987e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>airconditioning</th>\n",
       "      <td>3.155963e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.651799e-01</td>\n",
       "      <td>3.155963e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.651799e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parking</th>\n",
       "      <td>6.935780e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.615858e-01</td>\n",
       "      <td>6.579817e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.969701e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prefarea</th>\n",
       "      <td>2.348624e-01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.243022e-01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>furnishingstatus</th>\n",
       "      <td>1.069725e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.613727e-01</td>\n",
       "      <td>1.069725e+00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.613727e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Mean (Before)  Median (Before)  Std (Before)  Mean (After)  \\\n",
       "price              4.766729e+06        4340000.0  1.870440e+06  4.640095e+06   \n",
       "area               5.150541e+03           4600.0  2.170141e+03  5.015500e+03   \n",
       "bedrooms           2.965138e+00              3.0  7.380639e-01  2.925505e+00   \n",
       "bathrooms          1.286239e+00              1.0  5.024696e-01  1.281101e+00   \n",
       "stories            1.805505e+00              2.0  8.674925e-01  1.656147e+00   \n",
       "mainroad           8.587156e-01              1.0  3.486347e-01  1.000000e+00   \n",
       "guestroom          1.779817e-01              0.0  3.828487e-01  0.000000e+00   \n",
       "basement           3.504587e-01              0.0  4.775519e-01  3.504587e-01   \n",
       "hotwaterheating    4.587156e-02              0.0  2.093987e-01  0.000000e+00   \n",
       "airconditioning    3.155963e-01              0.0  4.651799e-01  3.155963e-01   \n",
       "parking            6.935780e-01              0.0  8.615858e-01  6.579817e-01   \n",
       "prefarea           2.348624e-01              0.0  4.243022e-01  0.000000e+00   \n",
       "furnishingstatus   1.069725e+00              1.0  7.613727e-01  1.069725e+00   \n",
       "\n",
       "                  Median (After)   Std (After)  \n",
       "price                  4340000.0  1.596359e+06  \n",
       "area                      4560.0  1.859964e+03  \n",
       "bedrooms                     3.0  6.622925e-01  \n",
       "bathrooms                    1.0  4.887998e-01  \n",
       "stories                      2.0  6.111734e-01  \n",
       "mainroad                     1.0  0.000000e+00  \n",
       "guestroom                    0.0  0.000000e+00  \n",
       "basement                     0.0  4.775519e-01  \n",
       "hotwaterheating              0.0  0.000000e+00  \n",
       "airconditioning              0.0  4.651799e-01  \n",
       "parking                      0.0  7.969701e-01  \n",
       "prefarea                     0.0  0.000000e+00  \n",
       "furnishingstatus             1.0  7.613727e-01  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reload original dataset and apply same label encoding for consistency\n",
    "original_df = pd.read_csv('Housing_Dataset.csv')\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "label_encoder = LabelEncoder()\n",
    "for column in original_df.select_dtypes(include=['object']).columns:\n",
    "    original_df[column] = label_encoder.fit_transform(original_df[column])\n",
    "\n",
    "# Store only the numeric columns before any imputation\n",
    "original_numeric = original_df.select_dtypes(include=['int64', 'float64'])\n",
    "\n",
    "# Compute descriptive statistics before and after imputation\n",
    "before_stats = original_numeric.describe().T[['mean', '50%', 'std']]\n",
    "before_stats.columns = ['Mean (Before)', 'Median (Before)', 'Std (Before)']\n",
    "\n",
    "after_stats = df[original_numeric.columns].describe().T[['mean', '50%', 'std']]\n",
    "after_stats.columns = ['Mean (After)', 'Median (After)', 'Std (After)']\n",
    "\n",
    "# Merge the stats for comparison\n",
    "stats_comparison = pd.concat([before_stats, after_stats], axis=1)\n",
    "\n",
    "stats_comparison\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d91c15df-415e-497e-a3a5-bb34350194d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Compute correlation matrices\n",
    "corr_before = original_numeric.corr()\n",
    "corr_after = df[original_numeric.columns].corr()\n",
    "\n",
    "# Plot side-by-side heatmaps\n",
    "fig, axes = plt.subplots(1, 2, figsize=(16, 6))\n",
    "sns.heatmap(corr_before, annot=True, cmap=\"Blues\", ax=axes[0])\n",
    "axes[0].set_title(\"Correlation Before Imputation\")\n",
    "\n",
    "sns.heatmap(corr_after, annot=True, cmap=\"Greens\", ax=axes[1])\n",
    "axes[1].set_title(\"Correlation After Imputation\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "70104749-7a63-40c8-887a-c971a08bcd7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Filter only numeric columns with non-zero variance (i.e., no constant or all-missing columns)\n",
    "non_empty_cols = df_encoded.select_dtypes(include=['int64', 'float64']).dropna(axis=1, how='all')\n",
    "non_empty_cols = non_empty_cols.loc[:, non_empty_cols.nunique() > 1]\n",
    "\n",
    "# Compute correlation matrix only for valid columns\n",
    "filtered_corr = non_empty_cols.corr()\n",
    "\n",
    "# Plot the refined heatmap without the white (empty or constant) columns\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.heatmap(filtered_corr, annot=True, cmap=\"Greens\", vmin=-1, vmax=1)\n",
    "plt.title(\"Correlation Heatmap After Imputation (Filtered Numeric Columns)\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1604e2e-8286-4fae-ae59-bfad83337a44",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}