{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8ae30c0c-522b-4234-9c6b-ce57eef7d042",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Here we declare the libs that we want to use\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7746d9e5-47cc-4e7e-95ac-57bd5a3d0564",
   "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>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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#To read the dataset we use lib pandas which have class to read csv data\n",
    "dt = pd.read_csv('Housing.csv')\n",
    "#after reading we will need to see sample of that data \n",
    "#so that we will use the Head function which is available in pythohn\n",
    "dt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "591528d2-0357-45d4-ac46-b1bc3fd3c049",
   "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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#dtypes functions used to get the data type of dataset\n",
    "dt.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8266b46b-3883-4e5c-84b5-d62efe9d1cbd",
   "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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to get more information about the data  we use descripe\n",
    "dt.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b231a845-ab27-48b0-b4ed-b76c81f87152",
   "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": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#isnull is function we use it to know the missing fields in the dataset and we use sum to get total of them\n",
    "dt.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c609ab54-a83e-42d6-b36c-eb6cdb94663d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# This step not needed bacause No missing Data\n",
    "#missing_percentage = dt.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",
    "#dt = dt.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: {dt.columns}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4b3a9a11-719d-4886-a145-85c15e3c58fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#this step to convert categorical data to numeric data\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "label_encoder = LabelEncoder()\n",
    "for column in dt.select_dtypes(include=['object']).columns:\n",
    "    dt[column] = label_encoder.fit_transform(dt[column])\n",
    "dt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1cdc2715-1644-4ba4-b25c-deb95d70d4cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values in columns with mode\n",
    "for column in dt.select_dtypes(include=['float64']).columns:\n",
    "    mean_value =dt[column].mean() # Get the mode (most frequent value)\n",
    "    dt[column] = dt[column].fillna(mean_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2002b261-17e0-4295-bcee-e670088afec1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values in categorical columns with mode\n",
    "for column in dt.select_dtypes(include=['object']).columns:\n",
    "    mode_value = dt[column].mode()[0] # Get the mode (most frequent value)\n",
    "    dt[column] = dt[column].fillna(mode_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "19f90491-6bce-4e5a-91d4-8b49a0e59e46",
   "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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt.isnull().sum()"
   ]
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      "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",
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       "4    11410000  7420         4          1        2         1          1   \n",
       "..        ...   ...       ...        ...      ...       ...        ...   \n",
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       "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",
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       "544                 2  \n",
       "\n",
       "[545 rows x 13 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
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    }
   ],
   "source": [
    "dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6ee20e08-4042-4063-8073-3db114119585",
   "metadata": {},
   "outputs": [],
   "source": [
    "#here we are going to search the outliers\n",
    "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",
    "    #replacing 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 dt.columns:\n",
    "    dt[col] = replace_outliers_with_nan(dt[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "43868de7-6d41-4c68-9816-f3aea6e675fb",
   "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": [
    "#here we get the total nulls again after we replaced the outlers with nan\n",
    "null_counts = dt.isnull().sum()\n",
    "print(\"Sum of null values in each column:\")\n",
    "print(null_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bf5bbe8a-0f7e-4e64-ab7d-bb57bb31de32",
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "         price    area  bedrooms  bathrooms  stories  mainroad  guestroom  \\\n",
       "0          NaN  7420.0       4.0        2.0      3.0       1.0        0.0   \n",
       "1          NaN  8960.0       4.0        NaN      NaN       1.0        0.0   \n",
       "2          NaN  9960.0       3.0        2.0      2.0       1.0        0.0   \n",
       "3          NaN  7500.0       4.0        2.0      2.0       1.0        0.0   \n",
       "4          NaN  7420.0       4.0        1.0      2.0       1.0        NaN   \n",
       "..         ...     ...       ...        ...      ...       ...        ...   \n",
       "540  1820000.0  3000.0       2.0        1.0      1.0       1.0        0.0   \n",
       "541  1767150.0  2400.0       3.0        1.0      1.0       NaN        0.0   \n",
       "542  1750000.0  3620.0       2.0        1.0      1.0       1.0        0.0   \n",
       "543  1750000.0  2910.0       3.0        1.0      1.0       NaN        0.0   \n",
       "544  1750000.0  3850.0       3.0        1.0      2.0       1.0        0.0   \n",
       "\n",
       "     basement  hotwaterheating  airconditioning  parking  prefarea  \\\n",
       "0           0              0.0                1      2.0       NaN   \n",
       "1           0              0.0                1      NaN       0.0   \n",
       "2           1              0.0                0      2.0       NaN   \n",
       "3           1              0.0                1      NaN       NaN   \n",
       "4           1              0.0                1      2.0       0.0   \n",
       "..        ...              ...              ...      ...       ...   \n",
       "540         1              0.0                0      2.0       0.0   \n",
       "541         0              0.0                0      0.0       0.0   \n",
       "542         0              0.0                0      0.0       0.0   \n",
       "543         0              0.0                0      0.0       0.0   \n",
       "544         0              0.0                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": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fac03517-a84c-43b2-af3b-940a742cea19",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values in columns with mode or Mean or median depend on data type\n",
    "for column in dt.select_dtypes(include=['float64']).columns:\n",
    "    mean_value = dt[column].mean() # Get the mode (most frequent value)\n",
    "    dt[column] = dt[column].fillna(mean_value)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e0eb779f-db93-4871-885c-32e941fccb81",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill missing values in categorical columns with mode\n",
    "for column in dt.select_dtypes(include=['object']).columns:\n",
    "    mode_value = dt[column].mode()[0] # Get the mode (most frequent value)\n",
    "    dt[column] = dt[column].fillna(mode_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "216b563e-2492-435b-ac38-f40b3488cb47",
   "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": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b7b1ff1c-05d3-4290-86b4-57bbd270ad2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Distribution of Price\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(dt['price'], bins=15, kde=True, color='blue')\n",
    "plt.title('Price Housing')\n",
    "plt.xlabel('Price')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3c2a36cf-f665-4dcf-978e-ffd07b241fab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x='area', y='price', data=dt, hue='bedrooms', palette='Set1')\n",
    "plt.title('price vs area')\n",
    "plt.xlabel('area')\n",
    "plt.ylabel('price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "22110259-166d-4fd5-b09d-9b99af1704aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter plot for Age vs Blood Pressure\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x='area', y='price', data=dt, hue='bedrooms', palette='Set2')\n",
    "plt.title('price vs area')\n",
    "plt.xlabel('area')\n",
    "plt.ylabel('price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fbe4788b-9522-46b3-94e3-026f20e9bea1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter plot for Age vs Blood Pressure\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.scatterplot(x='bedrooms', y='price', data=dt, hue='bedrooms', palette='Set2')\n",
    "plt.title('price vs bedrooms')\n",
    "plt.xlabel('bedrooms')\n",
    "plt.ylabel('price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8972a2f1-c510-458c-9429-11c176be5883",
   "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>4.600663e+06</td>\n",
       "      <td>7420.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.600663e+06</td>\n",
       "      <td>8960.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.28125</td>\n",
       "      <td>1.626984</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.641651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.600663e+06</td>\n",
       "      <td>9960.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.600663e+06</td>\n",
       "      <td>7500.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.641651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.600663e+06</td>\n",
       "      <td>7420.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</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>1.820000e+06</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>1.767150e+06</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>1.750000e+06</td>\n",
       "      <td>3620.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>1.750000e+06</td>\n",
       "      <td>2910.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>1.750000e+06</td>\n",
       "      <td>3850.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</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    4.600663e+06  7420.0       4.0    2.00000  3.000000       1.0        0.0   \n",
       "1    4.600663e+06  8960.0       4.0    1.28125  1.626984       1.0        0.0   \n",
       "2    4.600663e+06  9960.0       3.0    2.00000  2.000000       1.0        0.0   \n",
       "3    4.600663e+06  7500.0       4.0    2.00000  2.000000       1.0        0.0   \n",
       "4    4.600663e+06  7420.0       4.0    1.00000  2.000000       1.0        0.0   \n",
       "..            ...     ...       ...        ...       ...       ...        ...   \n",
       "540  1.820000e+06  3000.0       2.0    1.00000  1.000000       1.0        0.0   \n",
       "541  1.767150e+06  2400.0       3.0    1.00000  1.000000       1.0        0.0   \n",
       "542  1.750000e+06  3620.0       2.0    1.00000  1.000000       1.0        0.0   \n",
       "543  1.750000e+06  2910.0       3.0    1.00000  1.000000       1.0        0.0   \n",
       "544  1.750000e+06  3850.0       3.0    1.00000  2.000000       1.0        0.0   \n",
       "\n",
       "     basement  hotwaterheating  airconditioning   parking  prefarea  \\\n",
       "0           0              0.0                1  2.000000       0.0   \n",
       "1           0              0.0                1  0.641651       0.0   \n",
       "2           1              0.0                0  2.000000       0.0   \n",
       "3           1              0.0                1  0.641651       0.0   \n",
       "4           1              0.0                1  2.000000       0.0   \n",
       "..        ...              ...              ...       ...       ...   \n",
       "540         1              0.0                0  2.000000       0.0   \n",
       "541         0              0.0                0  0.000000       0.0   \n",
       "542         0              0.0                0  0.000000       0.0   \n",
       "543         0              0.0                0  0.000000       0.0   \n",
       "544         0              0.0                0  0.000000       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": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "04763f61-7671-4261-a720-5b3be57bc697",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "numerical_features = ['price', 'bedrooms', 'area', 'stories']\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "for i, col in enumerate(numerical_features):\n",
    "    plt.subplot(2, 2, i + 1)\n",
    "    sns.boxplot(x=dt[col], color='skyblue')\n",
    "    plt.title(f'Boxplot of {col}')\n",
    "    plt.xlabel(col)\n",
    "    plt.ylabel('Value')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63bfb175-3065-483c-acaf-59f6879ad4ca",
   "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
}