{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "90d35380-d966-4f0f-a0a2-c72654730e1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "49454897-02c5-4621-a8da-d306907b2fd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('Titanic-Dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "812828f6-7700-4dad-8238-ca9e1d89b572",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First 5 rows:\n",
      "   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  \n",
      "\n",
      "Data types:\n",
      "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\n"
     ]
    }
   ],
   "source": [
    "print(\"First 5 rows:\")\n",
    "print(df.head())\n",
    "print(\"\\nData types:\")\n",
    "print(df.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1372d82c-6a29-47e0-b3b5-ff4fdf0cc0a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Summary statistics:\n",
      "        PassengerId    Survived      Pclass                     Name   Sex  \\\n",
      "count    891.000000  891.000000  891.000000                      891   891   \n",
      "unique          NaN         NaN         NaN                      891     2   \n",
      "top             NaN         NaN         NaN  Braund, Mr. Owen Harris  male   \n",
      "freq            NaN         NaN         NaN                        1   577   \n",
      "mean     446.000000    0.383838    2.308642                      NaN   NaN   \n",
      "std      257.353842    0.486592    0.836071                      NaN   NaN   \n",
      "min        1.000000    0.000000    1.000000                      NaN   NaN   \n",
      "25%      223.500000    0.000000    2.000000                      NaN   NaN   \n",
      "50%      446.000000    0.000000    3.000000                      NaN   NaN   \n",
      "75%      668.500000    1.000000    3.000000                      NaN   NaN   \n",
      "max      891.000000    1.000000    3.000000                      NaN   NaN   \n",
      "\n",
      "               Age       SibSp       Parch  Ticket        Fare    Cabin  \\\n",
      "count   714.000000  891.000000  891.000000     891  891.000000      204   \n",
      "unique         NaN         NaN         NaN     681         NaN      147   \n",
      "top            NaN         NaN         NaN  347082         NaN  B96 B98   \n",
      "freq           NaN         NaN         NaN       7         NaN        4   \n",
      "mean     29.699118    0.523008    0.381594     NaN   32.204208      NaN   \n",
      "std      14.526497    1.102743    0.806057     NaN   49.693429      NaN   \n",
      "min       0.420000    0.000000    0.000000     NaN    0.000000      NaN   \n",
      "25%      20.125000    0.000000    0.000000     NaN    7.910400      NaN   \n",
      "50%      28.000000    0.000000    0.000000     NaN   14.454200      NaN   \n",
      "75%      38.000000    1.000000    0.000000     NaN   31.000000      NaN   \n",
      "max      80.000000    8.000000    6.000000     NaN  512.329200      NaN   \n",
      "\n",
      "       Embarked  \n",
      "count       889  \n",
      "unique        3  \n",
      "top           S  \n",
      "freq        644  \n",
      "mean        NaN  \n",
      "std         NaN  \n",
      "min         NaN  \n",
      "25%         NaN  \n",
      "50%         NaN  \n",
      "75%         NaN  \n",
      "max         NaN  \n",
      "\n",
      "Missing values count:\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(\"\\nSummary statistics:\")\n",
    "print(df.describe(include='all'))\n",
    "print(\"\\nMissing values count:\")\n",
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1ad38825-42b1-43b4-afa8-f852bd02203b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Columns dropped (>30% missing): ['Cabin']\n",
      "Remaining columns: ['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp', 'Parch', 'Ticket', 'Fare', 'Embarked']\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = df.isnull().mean() * 100\n",
    "threshold = 30\n",
    "columns_to_drop = missing_percentage[missing_percentage > threshold].index\n",
    "df = df.drop(columns=columns_to_drop)\n",
    "print(\"\\nColumns dropped (>{}% missing):\".format(threshold), list(columns_to_drop))\n",
    "print(\"Remaining columns:\", df.columns.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "067037e9-29e9-489b-a8b9-6993c887bb3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "label_encoder = LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3ff35106-c31d-405f-accb-d531a788d707",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in df.select_dtypes(include=['object']).columns:\n",
    "    df[col] = label_encoder.fit_transform(df[col].astype(str))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bfc8992c-af78-4262-89e9-0afb7432a800",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in df.select_dtypes(include=['float64', 'int64']).columns:\n",
    "    df[col] = df[col].fillna(df[col].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8538c4c1-1df7-4247-943d-7af207d372e9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e0fb9338-c06c-4e9a-a6f2-8e0f506ed772",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in df.select_dtypes(include=['object']).columns:\n",
    "    df[col] = df[col].fillna(df[col].mode()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "27095a74-1605-4c0b-9c42-33473a2f00d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Missing values after filling:\n",
      "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\n"
     ]
    }
   ],
   "source": [
    "print(\"\\nMissing values after filling:\")\n",
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8d9154f5-f844-462e-8c9f-e804b7f3eece",
   "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",
    "    return column.where((column >= lower_bound) & (column <= upper_bound), np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "043227c4-8ecf-46ed-b9f9-180b61e012ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in df.select_dtypes(include=['float64', 'int64']).columns:\n",
    "    df[col] = replace_outliers_with_nan(df[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7104ab08-1a75-49a8-bedd-96a4994efe6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Missing values after replacing outliers:\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": [
    "print(\"\\nMissing values after replacing outliers:\")\n",
    "print(df.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8d7cf042-448d-4e4c-b85d-05aeedf0cc4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'Age' in df.columns:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    sns.histplot(df['Age'], bins=15, kde=True)\n",
    "    plt.title('Age Distribution')\n",
    "    plt.xlabel('Age')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "462608f6-d87e-4a15-9875-a560483c9cc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'Survived' in df.columns:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    sns.countplot(x='Survived', data=df)\n",
    "    plt.title('Survival Count')\n",
    "    plt.xlabel('Survived')\n",
    "    plt.ylabel('Count')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "35960f1f-f3c2-434f-afc9-d8723cfc0caf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'Age' in df.columns and 'Fare' in df.columns:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    # Use 'Survived' as hue if available\n",
    "    hue_var = 'Survived' if 'Survived' in df.columns else None\n",
    "    sns.scatterplot(x='Age', y='Fare', data=df, hue=hue_var)\n",
    "    plt.title('Age vs Fare')\n",
    "    plt.xlabel('Age')\n",
    "    plt.ylabel('Fare')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8088699f-3afe-48cf-abed-98de4073755a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "if 'Fare' in df.columns and 'Survived' in df.columns:\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    sns.boxplot(x='Survived', y='Fare', data=df)\n",
    "    plt.title('Fare by Survival')\n",
    "    plt.xlabel('Survived')\n",
    "    plt.ylabel('Fare')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb4139b0-de05-423c-91c0-05c2e86a806c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:base] *",
   "language": "python",
   "name": "conda-base-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
