{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b6c2e1a5-988f-4e4c-b27f-5e7131725897",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "715a7649-275c-40cb-a97d-92c2c7bec0ff",
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Titanic-Dataset.csv') \n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6280563d-cf29-4dcc-8b1f-f245186d55e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      int64\n",
       "Survived         int64\n",
       "Pclass           int64\n",
       "Name            object\n",
       "Sex             object\n",
       "Age            float64\n",
       "SibSp            int64\n",
       "Parch            int64\n",
       "Ticket          object\n",
       "Fare           float64\n",
       "Cabin           object\n",
       "Embarked        object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a5e2f4ea-d933-4d0b-a4c7-19f589982b74",
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>714.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "      <td>891.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.383838</td>\n",
       "      <td>2.308642</td>\n",
       "      <td>29.699118</td>\n",
       "      <td>0.523008</td>\n",
       "      <td>0.381594</td>\n",
       "      <td>32.204208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>257.353842</td>\n",
       "      <td>0.486592</td>\n",
       "      <td>0.836071</td>\n",
       "      <td>14.526497</td>\n",
       "      <td>1.102743</td>\n",
       "      <td>0.806057</td>\n",
       "      <td>49.693429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>223.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.910400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>446.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.454200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>668.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>891.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>512.329200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
       "\n",
       "            Parch        Fare  \n",
       "count  891.000000  891.000000  \n",
       "mean     0.381594   32.204208  \n",
       "std      0.806057   49.693429  \n",
       "min      0.000000    0.000000  \n",
       "25%      0.000000    7.910400  \n",
       "50%      0.000000   14.454200  \n",
       "75%      0.000000   31.000000  \n",
       "max      6.000000  512.329200  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6c2a65c4-e9e2-44e0-8e22-6c155be3035e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      0\n",
       "Survived         0\n",
       "Pclass           0\n",
       "Name             0\n",
       "Sex              0\n",
       "Age            177\n",
       "SibSp            0\n",
       "Parch            0\n",
       "Ticket           0\n",
       "Fare             0\n",
       "Cabin          687\n",
       "Embarked         2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7755718f-f2d8-40d6-89f3-7c023544c5b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns dropped: ['Cabin']\n",
      "Remaining columns: Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n",
      "       'Parch', 'Ticket', 'Fare', 'Embarked'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = df.isnull().mean() * 100\n",
    "threshold = 30\n",
    "\n",
    "columns_to_drop = missing_percentage[missing_percentage > threshold].index \n",
    "# Drop the columns\n",
    "df = df.drop(columns=columns_to_drop)\n",
    "\n",
    "print(f\"Columns dropped: {list(columns_to_drop)}\") \n",
    "print(f\"Remaining columns: {df.columns}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1f640e01-b93e-4bab-9e76-6cb63a9d84ad",
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>108</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>523</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>190</td>\n",
       "      <td>0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>596</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>353</td>\n",
       "      <td>0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>669</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>472</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  Name  Sex   Age  SibSp  Parch  Ticket  \\\n",
       "0            1         0       3   108    1  22.0      1      0     523   \n",
       "1            2         1       1   190    0  38.0      1      0     596   \n",
       "2            3         1       3   353    0  26.0      0      0     669   \n",
       "3            4         1       1   272    0  35.0      1      0      49   \n",
       "4            5         0       3    15    1  35.0      0      0     472   \n",
       "\n",
       "      Fare  Embarked  \n",
       "0   7.2500         2  \n",
       "1  71.2833         0  \n",
       "2   7.9250         2  \n",
       "3  53.1000         2  \n",
       "4   8.0500         2  "
      ]
     },
     "execution_count": 11,
     "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",
    "    df[column] = label_encoder.fit_transform(df[column])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5bf2921a-e47f-4bcc-a173-f4ce41c3c05b",
   "metadata": {},
   "outputs": [],
   "source": [
    "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": 13,
   "id": "c4a0a1a8-0f27-4846-970b-f72753fddfec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId      0\n",
       "Survived         0\n",
       "Pclass           0\n",
       "Name             0\n",
       "Sex              0\n",
       "Age            177\n",
       "SibSp            0\n",
       "Parch            0\n",
       "Ticket           0\n",
       "Fare             0\n",
       "Embarked         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cdc6012b-aef6-4e3e-9a48-c8e472fd8699",
   "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>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>108</td>\n",
       "      <td>1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>523</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>190</td>\n",
       "      <td>0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>596</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>353</td>\n",
       "      <td>0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>669</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>272</td>\n",
       "      <td>0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>472</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>887</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>548</td>\n",
       "      <td>1</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>101</td>\n",
       "      <td>13.0000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>888</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>303</td>\n",
       "      <td>0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>413</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>675</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>891</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>220</td>\n",
       "      <td>1</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>466</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>891 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass  Name  Sex   Age  SibSp  Parch  Ticket  \\\n",
       "0              1         0       3   108    1  22.0      1      0     523   \n",
       "1              2         1       1   190    0  38.0      1      0     596   \n",
       "2              3         1       3   353    0  26.0      0      0     669   \n",
       "3              4         1       1   272    0  35.0      1      0      49   \n",
       "4              5         0       3    15    1  35.0      0      0     472   \n",
       "..           ...       ...     ...   ...  ...   ...    ...    ...     ...   \n",
       "886          887         0       2   548    1  27.0      0      0     101   \n",
       "887          888         1       1   303    0  19.0      0      0      14   \n",
       "888          889         0       3   413    0   NaN      1      2     675   \n",
       "889          890         1       1    81    1  26.0      0      0       8   \n",
       "890          891         0       3   220    1  32.0      0      0     466   \n",
       "\n",
       "        Fare  Embarked  \n",
       "0     7.2500         2  \n",
       "1    71.2833         0  \n",
       "2     7.9250         2  \n",
       "3    53.1000         2  \n",
       "4     8.0500         2  \n",
       "..       ...       ...  \n",
       "886  13.0000         2  \n",
       "887  30.0000         2  \n",
       "888  23.4500         2  \n",
       "889  30.0000         0  \n",
       "890   7.7500         1  \n",
       "\n",
       "[891 rows x 11 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b91e83ca-f7ab-4edb-8d0d-ee0213b4bc29",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of null values in each column:\n",
      "PassengerId      0\n",
      "Survived         0\n",
      "Pclass           0\n",
      "Name             0\n",
      "Sex              0\n",
      "Age            177\n",
      "SibSp            0\n",
      "Parch            0\n",
      "Ticket           0\n",
      "Fare             0\n",
      "Embarked         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": 16,
   "id": "6bb2fb6b-d5ac-4e73-805a-d68a9403f8a7",
   "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",
    "    \n",
    "    return column.where((column >= lower_bound) & (column <= upper_bound), np.nan)\n",
    "\n",
    "for col in df.columns:\n",
    "    df[col] = replace_outliers_with_nan(df[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9d271844-de41-43cf-823d-3f29e426b3ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.histplot(df['Age'], bins=15, kde=True, color='blue')\n",
    "plt.title('Age Distribution')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7b63e077-871d-4332-91bb-e1ef71d7f7cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/f6/nqfsrlvj7fz2jgn77llsyybm0000gn/T/ipykernel_25112/3542840176.py:1: 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.countplot(x='Pclass', data=df, palette='Set2')\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Pclass', data=df, palette='Set2')\n",
    "plt.title('Passenger Count by Class')\n",
    "plt.xlabel('Passenger Class')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5e4881ee-b0c7-480e-aa07-20797f436690",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n",
      "       'Parch', 'Ticket', 'Fare', 'Embarked'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "958aba20-35a7-4206-8eb3-7c481704f1f6",
   "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='Age', y='Fare', data=df, hue='Sex', palette='Set1')\n",
    "plt.title('Age vs Fare by Gender')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Fare')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4d9dedb4-a806-4e89-a3cf-d1672fc3f7c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Pclass_Label'] = df['Pclass'].map({\n",
    "    1: 'First Class',\n",
    "    2: 'Second Class',\n",
    "    3: 'Third Class'\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e089857e-5ded-4c83-8ade-1bf9c3ad34a7",
   "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='Age', y='Fare', data=df, hue='Pclass_Label', palette='Set2')\n",
    "plt.title('Age vs Fare by Passenger Class')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Fare')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "c0e9e2df-66a0-4190-be49-b77bd46bb175",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/f6/nqfsrlvj7fz2jgn77llsyybm0000gn/T/ipykernel_98020/1955363407.py:2: 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.boxplot(x='Survived', y='Age', data=df, palette='Set1')\n"
     ]
    },
    {
     "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.boxplot(x='Survived', y='Age', data=df, palette='Set1')\n",
    "plt.title('Passenger Age by Survival Status')\n",
    "plt.xlabel('Survived (0 = No, 1 = Yes)')\n",
    "plt.ylabel('Age')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98556369-bf28-4af0-acc8-3bcf43ed4f8f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b168331b-ffe5-4a69-8949-be944a0929ac",
   "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": "3.12.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}