{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "51562094-a41d-49ec-a496-7bec57466186",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      id  gender   age  hypertension  heart_disease ever_married  \\\n",
      "0   9046    Male  67.0             0              1          Yes   \n",
      "1  51676  Female  61.0             0              0          Yes   \n",
      "2  31112    Male  80.0             0              1          Yes   \n",
      "3  60182  Female  49.0             0              0          Yes   \n",
      "4   1665  Female  79.0             1              0          Yes   \n",
      "\n",
      "       work_type Residence_type  avg_glucose_level   bmi   smoking_status  \\\n",
      "0        Private          Urban             228.69  36.6  formerly smoked   \n",
      "1  Self-employed          Rural             202.21   NaN     never smoked   \n",
      "2        Private          Rural             105.92  32.5     never smoked   \n",
      "3        Private          Urban             171.23  34.4           smokes   \n",
      "4  Self-employed          Rural             174.12  24.0     never smoked   \n",
      "\n",
      "   stroke  \n",
      "0       1  \n",
      "1       1  \n",
      "2       1  \n",
      "3       1  \n",
      "4       1  \n",
      "Missing values in each column:\n",
      "id                     0\n",
      "gender                 0\n",
      "age                    0\n",
      "hypertension           0\n",
      "heart_disease          0\n",
      "ever_married           0\n",
      "work_type              0\n",
      "Residence_type         0\n",
      "avg_glucose_level      0\n",
      "bmi                  201\n",
      "smoking_status         0\n",
      "stroke                 0\n",
      "dtype: int64\n",
      "After handling missing values:\n",
      "id                   0\n",
      "gender               0\n",
      "age                  0\n",
      "hypertension         0\n",
      "heart_disease        0\n",
      "ever_married         0\n",
      "work_type            0\n",
      "Residence_type       0\n",
      "avg_glucose_level    0\n",
      "bmi                  0\n",
      "smoking_status       0\n",
      "stroke               0\n",
      "dtype: int64\n",
      "After handling outliers:\n",
      "id                   0\n",
      "gender               0\n",
      "age                  0\n",
      "hypertension         0\n",
      "heart_disease        0\n",
      "ever_married         0\n",
      "work_type            0\n",
      "Residence_type       0\n",
      "avg_glucose_level    0\n",
      "bmi                  0\n",
      "smoking_status       0\n",
      "stroke               0\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Modified data saved to CSV file.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "file_path = r'C:\\Users\\wasl1\\Music\\anaconda\\healthcare-dataset-stroke-data.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "print(df.head())\n",
    "\n",
    "print(\"Missing values in each column:\")\n",
    "print(df.isnull().sum())\n",
    "\n",
    "for column in df.select_dtypes(include=['float64', 'int64']).columns:\n",
    "    mean_value = df[column].mean()\n",
    "    df[column] = df[column].fillna(mean_value)\n",
    "\n",
    "for column in df.select_dtypes(include=['object']).columns:\n",
    "    mode_value = df[column].mode()[0]\n",
    "    df[column] = df[column].fillna(mode_value)\n",
    "\n",
    "print(\"After handling missing values:\")\n",
    "print(df.isnull().sum())\n",
    "\n",
    "def detect_outliers_iqr(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",
    "    return (column < lower_bound) | (column > upper_bound)\n",
    "\n",
    "for column in df.select_dtypes(include=['float64', 'int64']).columns:\n",
    "    df[column] = df[column].where(~detect_outliers_iqr(df[column]), np.nan)\n",
    "\n",
    "for column in df.select_dtypes(include=['float64', 'int64']).columns:\n",
    "    mean_value = df[column].mean()\n",
    "    df[column] = df[column].fillna(mean_value)\n",
    "\n",
    "print(\"After handling outliers:\")\n",
    "print(df.isnull().sum())\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "numeric_df = df.select_dtypes(include=['float64', 'int64'])\n",
    "sns.heatmap(numeric_df.corr(), annot=True, cmap='viridis', annot_kws={\"size\": 12, \"weight\": \"bold\"})\n",
    "plt.title('CORRELATION HEATMAP', fontsize=16, weight='bold')\n",
    "plt.xticks(rotation=45, ha='right', fontsize=12, weight='bold')\n",
    "plt.yticks(fontsize=12, weight='bold')\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.boxplot(x=df['age'])\n",
    "plt.title('Boxplot for Age', fontsize=16, weight='bold')\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.countplot(x='gender', data=df)\n",
    "plt.title('Gender Distribution', fontsize=16, weight='bold')\n",
    "plt.show()\n",
    "\n",
    "output_file_path = r'C:\\Users\\wasl1\\Music\\anaconda\\modified_healthcare_data.csv'\n",
    "df.to_csv(output_file_path, index=False)\n",
    "\n",
    "print(\"Modified data saved to CSV file.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f052cc67-2114-4fff-85d4-e01f140b33e0",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}