{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eae8df58-7b94-4158-8f15-251544d504b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9d32570b-5dd5-4b99-9f79-68d42d52b745",
   "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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Titanic-Dataset.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8662fa2a-d08a-4bd5-bd6a-6aa69d749e01",
   "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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "71637717-b36c-4b04-b9fe-3d373494c0ac",
   "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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ebcb314e-9ea0-45f4-8d42-9c39261d690b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing Values Per 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",
      "Cabin          687\n",
      "Embarked         2\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"Missing Values Per Column:\")\n",
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a874b943-7e01-449d-824d-8043aa570015",
   "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",
    "# 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}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "71aee4b4-15f0-4be1-80ae-19af1ee01d36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\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>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": 14,
     "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": 17,
   "id": "4f91747d-24bc-4079-9432-e251eddaa803",
   "metadata": {},
   "outputs": [],
   "source": [
    "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)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "acf05c1f-fd62-4d96-9978-c571427d994d",
   "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": 19,
   "id": "92f70f01-a73b-418e-91b9-cf690d6fb785",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PassengerId    0\n",
       "Survived       0\n",
       "Pclass         0\n",
       "Name           0\n",
       "Sex            0\n",
       "Age            0\n",
       "SibSp          0\n",
       "Parch          0\n",
       "Ticket         0\n",
       "Fare           0\n",
       "Embarked       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ae7fae2e-9987-4c48-ba1d-005656b3bacf",
   "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>22.000000</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>38.000000</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>26.000000</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>35.000000</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>35.000000</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>27.000000</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>19.000000</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>29.699118</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>26.000000</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>32.000000</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  \\\n",
       "0              1         0       3   108    1  22.000000      1      0   \n",
       "1              2         1       1   190    0  38.000000      1      0   \n",
       "2              3         1       3   353    0  26.000000      0      0   \n",
       "3              4         1       1   272    0  35.000000      1      0   \n",
       "4              5         0       3    15    1  35.000000      0      0   \n",
       "..           ...       ...     ...   ...  ...        ...    ...    ...   \n",
       "886          887         0       2   548    1  27.000000      0      0   \n",
       "887          888         1       1   303    0  19.000000      0      0   \n",
       "888          889         0       3   413    0  29.699118      1      2   \n",
       "889          890         1       1    81    1  26.000000      0      0   \n",
       "890          891         0       3   220    1  32.000000      0      0   \n",
       "\n",
       "     Ticket     Fare  Embarked  \n",
       "0       523   7.2500         2  \n",
       "1       596  71.2833         0  \n",
       "2       669   7.9250         2  \n",
       "3        49  53.1000         2  \n",
       "4       472   8.0500         2  \n",
       "..      ...      ...       ...  \n",
       "886     101  13.0000         2  \n",
       "887      14  30.0000         2  \n",
       "888     675  23.4500         2  \n",
       "889       8  30.0000         0  \n",
       "890     466   7.7500         1  \n",
       "\n",
       "[891 rows x 11 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "679aa952-0dac-461c-847d-a47198108c91",
   "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": 23,
   "id": "ac353035-5af9-439b-9f8f-c223b42275bd",
   "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             66\n",
      "SibSp           46\n",
      "Parch          213\n",
      "Ticket           0\n",
      "Fare           116\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": 24,
   "id": "a73fa1a9-2972-47d2-8e92-8fa05dae5039",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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": 25,
   "id": "45b1ac41-98e0-4d61-938f-088b80e70a3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\B.O.S\\AppData\\Local\\Temp\\ipykernel_16252\\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": 26,
   "id": "71e0a713-5e78-4d9b-b1ec-a4a7a9cd4bc4",
   "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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ce3600cb-d351-4c63-9ebf-824bef2725b3",
   "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": 28,
   "id": "b331dd76-dfc1-47d3-821e-c98761d04ce9",
   "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": 29,
   "id": "e3b7f7d2-d442-4d5f-bdd9-843fb32a5908",
   "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": 30,
   "id": "89ccfaac-0256-40ae-9ce9-ca5cb4ad5733",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\B.O.S\\AppData\\Local\\Temp\\ipykernel_16252\\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": 31,
   "id": "2568d276-3351-44f7-a2c7-b57485db7100",
   "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.countplot(x='Survived', data=df)\n",
    "plt.title('Survival Count')\n",
    "plt.xlabel('Survived (0 = No, 1 = Yes)')\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0efd3d12-1e81-427e-87ee-b38d145854e0",
   "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.boxplot(x='Survived', y='Age', data=df)\n",
    "plt.title('Age vs Survived')\n",
    "plt.xlabel('Survived')\n",
    "plt.ylabel('Age')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8662107b-6d7e-42fc-9e90-b06a08bd4460",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('Titanic-Dataset-Cleaned.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bf15e41-acb0-4852-bdfd-990b7ef01cfc",
   "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": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}