Titanic_dataset_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "27cbfbd0",
   "metadata": {},
   "source": [
    "# Task 2\n",
    "\n",
    "<i>Perform data cleaning and exploratory data analysis (EDA) on a dataset of your choice, such as the Titanic dataset from Kaggle. Explore the relationships between variables and identify patterns and trends in the data</i>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b90fa3ad",
   "metadata": {},
   "source": [
    "\n",
    "# About the DataSet\n",
    "\n",
    "We are using the Titanic Dataset here. It contains both numerical and string values.\n",
    "\n",
    "## The predefined columns are -\n",
    "\n",
    "`Passenger ID` - To identify unique passengers\n",
    "\n",
    "`Survived` - If they survived or not\n",
    "\n",
    "`P Class` - The class passengers travelled in\n",
    "\n",
    "pclass: A proxy for socio-economic status (SES)\n",
    "1st = Upper\n",
    "2nd = Middle\n",
    "3rd = Lower\n",
    "\n",
    "`Name` - Passenger Name\n",
    "\n",
    "`Sex` - Gender of Passenger\n",
    "\n",
    "`Age` - Age of passenger\n",
    "\n",
    "Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5\n",
    "\n",
    "`SibSp` - Number of siblings or spouse\n",
    "\n",
    "`Parch` - Parent or child\n",
    "\n",
    "`Ticket` - Ticket number\n",
    "\n",
    "`Fare` - Amount paid for the ticket\n",
    "\n",
    "`Cabin` - Cabin of residence\n",
    "\n",
    "`Embarked` - Point of embarkmen\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d093404",
   "metadata": {},
   "source": [
    "##  Importing the necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "444a914d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f6ab560",
   "metadata": {},
   "source": [
    "## Reading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ba9cf8d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\TUFAN\\Downloads\\Prodigy_InfoTech\\Task_2\\Titanic-Dataset.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ff10c70e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79907e24",
   "metadata": {},
   "source": [
    "## shape of the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f6718c64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(891, 12)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "454e3aa1",
   "metadata": {},
   "source": [
    "## Information about the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3637aaa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 891 entries, 0 to 890\n",
      "Data columns (total 12 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   PassengerId  891 non-null    int64  \n",
      " 1   Survived     891 non-null    int64  \n",
      " 2   Pclass       891 non-null    int64  \n",
      " 3   Name         891 non-null    object \n",
      " 4   Sex          891 non-null    object \n",
      " 5   Age          714 non-null    float64\n",
      " 6   SibSp        891 non-null    int64  \n",
      " 7   Parch        891 non-null    int64  \n",
      " 8   Ticket       891 non-null    object \n",
      " 9   Fare         891 non-null    float64\n",
      " 10  Cabin        204 non-null    object \n",
      " 11  Embarked     889 non-null    object \n",
      "dtypes: float64(2), int64(5), object(5)\n",
      "memory usage: 83.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e1eed6a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d296dcc7",
   "metadata": {},
   "source": [
    "## Checking for null/missing values in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7fdc4f44",
   "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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "745aa326",
   "metadata": {},
   "source": [
    "`Observation & Inference:`\n",
    "- There are 177 null values in the age column,687 in Cabin, 2 in Embarked\n",
    "- since the cabin column is not of much use and contains a lot of null values so we will drop it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17e617ed",
   "metadata": {},
   "source": [
    "## Dropping unnecessary columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e3bfdf8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=\"Cabin\",axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73db3140",
   "metadata": {},
   "source": [
    "## Filling the missing values of the age column by Mean value of the column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "76790ae7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Age'].fillna(df['Age'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79d08368",
   "metadata": {},
   "source": [
    "## Filling the missing values of the Embarked column by Mode value of the column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fdafd5c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Embarked'].fillna(df['Embarked'].mode()[0],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "52362d91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef763dd4",
   "metadata": {},
   "source": [
    "`Observation & Inference:`\n",
    "- All the missing values are treated"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74619f7f",
   "metadata": {},
   "source": [
    "## Checking for duplicate values in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "23418480",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "109514a0",
   "metadata": {},
   "source": [
    "`Observation & Inference:`\n",
    "- No duplicate records are present\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a9fbacf",
   "metadata": {},
   "source": [
    "## Checking the survival of people"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d0fa04e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Survived\n",
       "0    549\n",
       "1    342\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Survived'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee95ab32",
   "metadata": {},
   "source": [
    "## Visualization of survival of people"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b3f1f66",
   "metadata": {},
   "source": [
    "### Countplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9ceb47da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Survived',data=df,palette='viridis',)\n",
    "plt.xlabel(\"Survival status\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.xticks(ticks=[0,1],labels=['Not survived','survived'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8434c007",
   "metadata": {},
   "source": [
    "### Pie chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "df80eb8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(df['Survived'].value_counts(),explode=[0,0.04],autopct=\"%1.2f%%\",labels=['Not survived','Survived'])\n",
    "plt.title(\"Survival of people\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c3386d2",
   "metadata": {},
   "source": [
    "## Visualization of people survived from different gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3a92599f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['male', 'female'], dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Sex'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "80113ecf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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G6tq1q5577jnt3LlT/fr1kyTt2bNHu3fvVlJSkl555RVb3+nTpzuvUgAAgHpw+HURkZGRdduxxaJjx47Vq6irjddFAO7D6yIA1JdTXxfx744fP96gwgAAAK6mBj1U0DAM8R5RAADQmNUr7LzxxhuKiYmRr6+vfH191b17d61du9bZtQEAADSYw5ex0tPTNX/+fD322GPq37+/DMPQ7t279eijj+r06dOaOXOmK+oEAACoF4fDztKlS7V8+XJNmTLF1nbnnXfqpptuUkpKCmEHAAA0Kg5fxioqKlJsbGyt9tjYWBUVFTmlKAAAAGdxOOx06tRJb7/9dq32t956S1FRUU4pCgAAwFkcvoy1cOFCTZgwQf/85z/Vv39/WSwW7dq1S9u3b79sCAIAAHAnh0d27rnnHu3du1chISF69913tWHDBoWEhGjfvn26++67XVEjAABAvTk8siNJvXv31rp165xdCwAAgNPV6zk7BQUFevLJJzVp0iQVFxdLkrZs2aIjR444tTgAAICGcjjs5OTkKCYmRnv37tU777yj8vJySdKnn36qBQsWOL1AAACAhnA47DzxxBN69tlnlZ2dLW9vb1v7bbfdpo8//tipxQEAADSUw2Hn8OHDl52I3KZNG505c8YpRQEAADiLw2GnVatWl3144MGDB3Xdddc5pSgAAABncTjsTJo0SXPnzpXVapXFYlFNTY12796t2bNn271CAgAAoDFwOOw899xzuuGGG3TdddepvLxc3bp106233qrY2Fg9+eSTrqgRAACg3hx+zo6Xl5f+53/+R08//bQOHjyompoa9ezZk1dFAACARqleDxWUpI4dO6pDhw6SJIvF4rSCAAAAnKleDxVcvXq1oqOj1bx5czVv3lzR0dF67bXXnF0bAABAgzk8sjN//nwtXrxYCQkJ6tevnyTp448/1syZM/XNN9/o2WefdXqRAAAA9eVw2Fm+fLlWrVqliRMn2trGjh2r7t27KyEhgbADAAAaFYcvY1VXV6tPnz612nv37q2LFy86pSgAAABncTjs/O53v9Py5ctrta9cuVKTJ092SlEAAADOUq+7sVavXq2srCzdcsstkqQ9e/aosLBQU6ZM0axZs2z90tPTnVMlAABAPTkcdvLz89WrVy9JUkFBgaSf3ovVpk0b5efn2/pxOzoAAGgMHA47O3bscEUdAAAALlGv5+wAAAA0FYQdAABgaoQdAABgaoQdAABganUKO7169VJJSYkk6emnn9b58+ddWhQAAICz1CnsHD16VOfOnZMkLVy4UOXl5S4tCgAAwFnqdOt5jx499NBDD2nAgAEyDEP//d//rZYtW16271NPPeXUAgEAABqiTmEnIyNDCxYs0KZNm2SxWPThhx/K07P2Ry0WC2EHwDVpeGayu0sAGp2s+9LcXYKkOoadLl26KDMzU5LUrFkzbd++XW3btnVpYQAAAM7g8BOUa2pqXFEHAACAS9TrRaAFBQVasmSJjh49KovFoq5du2rGjBnq2LGjs+sDAABoEIefs7N161Z169ZN+/btU/fu3RUdHa29e/fqpptuUnZ2titqBAAAqDeHw84TTzyhmTNnau/evUpPT9fixYu1d+9eJSYmau7cuQ7ta/ny5erevbsCAgIUEBCgfv366cMPP7RtNwxDKSkpCg8Pl6+vrwYPHqwjR47Y7aOyslIJCQkKCQmRn5+fxo4dq1OnTjl6WgAAwKQcDjtHjx5VXFxcrfbf//73+uyzzxza1/XXX6/nn39eBw4c0IEDB3T77bfrzjvvtAWaRYsWKT09XcuWLdP+/fsVFhamYcOG6ezZs7Z9JCYmauPGjcrMzNSuXbtUXl6u0aNHq7q62tFTAwAAJuRw2GnTpo0OHTpUq/3QoUMO36E1ZswYjRo1Sp07d1bnzp313HPPqWXLltqzZ48Mw9CSJUs0b948jRs3TtHR0VqzZo3Onz+v9evXS5JKS0u1evVqvfTSSxo6dKh69uypdevW6fDhw9q2bZujpwYAAEzI4QnKDz/8sB555BEdO3ZMsbGxslgs2rVrl1544QUlJSXVu5Dq6mr99a9/1blz59SvXz8dP35cVqtVw4cPt/Xx8fHRoEGDlJubq6lTpyovL08XLlyw6xMeHq7o6Gjl5uZqxIgRlz1WZWWlKisrbetlZWX1rhsAADRuDoed+fPny9/fXy+99JKSk396iFZ4eLhSUlI0ffp0hws4fPiw+vXrpx9//FEtW7bUxo0b1a1bN+Xm5kqSQkND7fqHhobqxIkTkiSr1Spvb2+1bt26Vh+r1XrFY6alpWnhwoUO1woAAJoeh8OOxWLRzJkzNXPmTNvcGX9//3oX0KVLFx06dEj/93//p3feeUcPPPCAcnJy7I737wzDqNX2c7/WJzk5WbNmzbKtl5WVKSIiop5nAAAAGrN6PWfnkoaEnEu8vb3VqVMnSVKfPn20f/9+vfzyy7Y7u6xWq9q1a2frX1xcbBvtCQsLU1VVlUpKSuxGd4qLixUbG3vFY/r4+MjHx6fBtQMAgMbP4QnKrmYYhiorKxUZGamwsDC7Z/dUVVUpJyfHFmR69+4tLy8vuz5FRUXKz8//xbADAACuHQ0a2WmoP/7xjxo5cqQiIiJ09uxZZWZmaufOndqyZYssFosSExOVmpqqqKgoRUVFKTU1VS1atNCkSZMkSYGBgYqLi1NSUpKCg4MVFBSk2bNnKyYmRkOHDnXnqQEAgEbCrWHnX//6l+6//34VFRUpMDBQ3bt315YtWzRs2DBJ0pw5c1RRUaH4+HiVlJSob9++ysrKsrt8tnjxYnl6emr8+PGqqKjQkCFDlJGRIQ8PD3edFgAAaEQshmEYde186TbvFStWqHPnzq6s66oqKytTYGCgSktLFRAQ4LLjDJz6jMv2DTRVH62Y7+4SnGJ4ZrK7SwAanaz70ly6/7r+fjs0Z8fLy0v5+fm/ejcUAABAY+HwBOUpU6Zo9erVrqgFAADA6Ryes1NVVaXXXntN2dnZ6tOnj/z8/Oy2p6enO604AACAhnI47OTn56tXr16SpC+//NJuG5e3AABAY+Nw2NmxY4cr6gAAAHCJej9U8Ouvv9bWrVtVUVEh6aeHAQIAADQ2DoedM2fOaMiQIercubNGjRqloqIiSdIf/vCHBr31HAAAwBUcDjszZ86Ul5eXTp48qRYtWtjaJ0yYoC1btji1OAAAgIZyeM5OVlaWtm7dquuvv96uPSoqSidOnHBaYQAAAM7g8MjOuXPn7EZ0Ljl9+jRvEgcAAI2Ow2Hn1ltv1RtvvGFbt1gsqqmp0YsvvqjbbrvNqcUBAAA0lMOXsV588UUNHjxYBw4cUFVVlebMmaMjR47ohx9+0O7du11RIwAAQL05PLLTrVs3ffrpp/rP//xPDRs2TOfOndO4ceN08OBBdezY0RU1AgAA1JvDIzuSFBYWpoULFzq7FgAAAKerV9gpKSnR6tWrdfToUVksFnXt2lUPPfSQgoKCnF0fAABAgzh8GSsnJ0eRkZF65ZVXVFJSoh9++EGvvPKKIiMjlZOT44oaAQAA6s3hkZ1p06Zp/PjxWr58uTw8PCRJ1dXVio+P17Rp05Sfn+/0IgEAAOrL4ZGdgoICJSUl2YKOJHl4eGjWrFkqKChwanEAAAAN5XDY6dWrl44ePVqr/ejRo+rRo4czagIAAHCaOl3G+vTTT23/nj59umbMmKGvv/5at9xyiyRpz549+tOf/qTnn3/eNVUCAADUU53CTo8ePWSxWGQYhq1tzpw5tfpNmjRJEyZMcF51AAAADVSnsHP8+HFX1wEAAOASdQo77du3d3UdAAAALlGvhwp+++232r17t4qLi1VTU2O3bfr06U4pDAAAwBkcDjuvv/66Hn30UXl7eys4OFgWi8W2zWKxEHYAAECj4nDYeeqpp/TUU08pOTlZzZo5fOc6AADAVeVwWjl//rzuu+8+gg4AAGgSHE4scXFx+utf/+qKWgAAAJzO4ctYaWlpGj16tLZs2aKYmBh5eXnZbU9PT3dacQAAAA3lcNhJTU3V1q1b1aVLF0mqNUEZAACgMXE47KSnp+svf/mLHnzwQReUAwAA4FwOz9nx8fFR//79XVELAACA0zkcdmbMmKGlS5e6ohYAAACnc/gy1r59+/SPf/xDmzZt0k033VRrgvKGDRucVhwAAEBDORx2WrVqpXHjxrmiFgAAAKer1+siAAAAmgoegwwAAEzN4ZGdyMjIX3yezrFjxxpUEAAAgDM5HHYSExPt1i9cuKCDBw9qy5Ytevzxx51VFwAAgFM4HHZmzJhx2fY//elPOnDgQIMLAgAAcCanzdkZOXKk3nnnHWftDgAAwCmcFnb+9re/KSgoyFm7AwAAcAqHL2P17NnTboKyYRiyWq36/vvv9eqrrzq1OAAAgIZyOOzcddddduvNmjVTmzZtNHjwYP3Hf/yHs+oCAABwCofDzoIFC1xRBwAAgEvwUEEAAGBqdR7Zadas2S8+TFCSLBaLLl682OCiAAAAnKXOYWfjxo1X3Jabm6ulS5fKMAynFAUAAOAsdQ47d955Z622zz//XMnJyXr//fc1efJkPfPMM04tDgAAoKHqNWfnu+++08MPP6zu3bvr4sWLOnTokNasWaMbbrjB2fUBAAA0iENhp7S0VHPnzlWnTp105MgRbd++Xe+//76io6PrdfC0tDT95je/kb+/v9q2bau77rpLX3zxhV0fwzCUkpKi8PBw+fr6avDgwTpy5Ihdn8rKSiUkJCgkJER+fn4aO3asTp06Va+aAACAudQ57CxatEgdOnTQpk2b9Oabbyo3N1cDBw5s0MFzcnI0bdo07dmzR9nZ2bp48aKGDx+uc+fO2R03PT1dy5Yt0/79+xUWFqZhw4bp7Nmztj6JiYnauHGjMjMztWvXLpWXl2v06NGqrq5uUH0AAKDpsxh1nFXcrFkz+fr6aujQofLw8Lhivw0bNtS7mO+//15t27ZVTk6Obr31VhmGofDwcCUmJmru3LmSfhrFCQ0N1QsvvKCpU6eqtLRUbdq00dq1azVhwgRJP11mi4iI0ObNmzVixIhfPW5ZWZkCAwNVWlqqgICAetf/awZOZU4T8HMfrZjv7hKcYnhmsrtLABqdrPvSXLr/uv5+13mC8pQpU3711vOGKi0tlSTbO7aOHz8uq9Wq4cOH2/r4+Pho0KBBys3N1dSpU5WXl6cLFy7Y9QkPD1d0dLRyc3MvG3YqKytVWVlpWy8rK3PVKQEAADerc9jJyMhwYRk/zc2ZNWuWBgwYYJsDZLVaJUmhoaF2fUNDQ3XixAlbH29vb7Vu3bpWn0uf/7m0tDQtXLjQ2acAAAAaoUbzBOXHHntMn376qd58881a234+omQYxq+OMv1Sn+TkZJWWltqWwsLC+hcOAAAatUYRdhISEvTee+9px44duv76623tYWFhklRrhKa4uNg22hMWFqaqqiqVlJRcsc/P+fj4KCAgwG4BAADm5NawYxiGHnvsMW3YsEH/+Mc/FBkZabc9MjJSYWFhys7OtrVVVVUpJydHsbGxkqTevXvLy8vLrk9RUZHy8/NtfQAAwLXL4beeO9O0adO0fv16/f3vf5e/v79tBCcwMFC+vr6yWCxKTExUamqqoqKiFBUVpdTUVLVo0UKTJk2y9Y2Li1NSUpKCg4MVFBSk2bNnKyYmRkOHDnXn6QEAgEbArWFn+fLlkqTBgwfbtb/++ut68MEHJUlz5sxRRUWF4uPjVVJSor59+yorK0v+/v62/osXL5anp6fGjx+viooKDRkyRBkZGb94izwAALg2uDXs1OURPxaLRSkpKUpJSblin+bNm2vp0qVaunSpE6sDAABm0CgmKAMAALgKYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJiaW8POP//5T40ZM0bh4eGyWCx699137bYbhqGUlBSFh4fL19dXgwcP1pEjR+z6VFZWKiEhQSEhIfLz89PYsWN16tSpq3gWAACgMXNr2Dl37pxuvvlmLVu27LLbFy1apPT0dC1btkz79+9XWFiYhg0bprNnz9r6JCYmauPGjcrMzNSuXbtUXl6u0aNHq7q6+mqdBgAAaMQ83XnwkSNHauTIkZfdZhiGlixZonnz5mncuHGSpDVr1ig0NFTr16/X1KlTVVpaqtWrV2vt2rUaOnSoJGndunWKiIjQtm3bNGLEiKt2LgAAoHFqtHN2jh8/LqvVquHDh9vafHx8NGjQIOXm5kqS8vLydOHCBbs+4eHhio6OtvW5nMrKSpWVldktAADAnBpt2LFarZKk0NBQu/bQ0FDbNqvVKm9vb7Vu3fqKfS4nLS1NgYGBtiUiIsLJ1QMAgMai0YadSywWi926YRi12n7u1/okJyertLTUthQWFjqlVgAA0Pg02rATFhYmSbVGaIqLi22jPWFhYaqqqlJJSckV+1yOj4+PAgIC7BYAAGBOjTbsREZGKiwsTNnZ2ba2qqoq5eTkKDY2VpLUu3dveXl52fUpKipSfn6+rQ8AALi2ufVurPLycn399de29ePHj+vQoUMKCgrSDTfcoMTERKWmpioqKkpRUVFKTU1VixYtNGnSJElSYGCg4uLilJSUpODgYAUFBWn27NmKiYmx3Z0FAACubW4NOwcOHNBtt91mW581a5Yk6YEHHlBGRobmzJmjiooKxcfHq6SkRH379lVWVpb8/f1tn1m8eLE8PT01fvx4VVRUaMiQIcrIyJCHh8dVPx8AAND4WAzDMNxdhLuVlZUpMDBQpaWlLp2/M3DqMy7bN9BUfbRivrtLcIrhmcnuLgFodLLuS3Pp/uv6+91o5+wAAAA4A2EHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYmmnCzquvvqrIyEg1b95cvXv31kcffeTukgAAQCNgirDz1ltvKTExUfPmzdPBgwc1cOBAjRw5UidPnnR3aQAAwM1MEXbS09MVFxenP/zhD+ratauWLFmiiIgILV++3N2lAQAAN/N0dwENVVVVpby8PD3xxBN27cOHD1dubu5lP1NZWanKykrbemlpqSSprKzMdYVKulj1o0v3DzRFrv7eXS0Xz1f+eifgGuPq7/el/RuG8Yv9mnzYOX36tKqrqxUaGmrXHhoaKqvVetnPpKWlaeHChbXaIyIiXFIjgCsLzEh1dwkAXCQwbvFVOc7Zs2cVGBh4xe1NPuxcYrFY7NYNw6jVdklycrJmzZplW6+pqdEPP/yg4ODgK34G5lFWVqaIiAgVFhYqICDA3eUAcCK+39cWwzB09uxZhYeH/2K/Jh92QkJC5OHhUWsUp7i4uNZozyU+Pj7y8fGxa2vVqpWrSkQjFRAQwP8MAZPi+33t+KURnUua/ARlb29v9e7dW9nZ2Xbt2dnZio2NdVNVAACgsWjyIzuSNGvWLN1///3q06eP+vXrp5UrV+rkyZN69NFH3V0aAABwM1OEnQkTJujMmTN6+umnVVRUpOjoaG3evFnt27d3d2lohHx8fLRgwYJalzIBNH18v3E5FuPX7tcCAABowpr8nB0AAIBfQtgBAACmRtgBAACmRtgB/r8HH3xQd911l7vLAK4JhmHokUceUVBQkCwWiw4dOuSWOr755hu3Hh9XhynuxgIANC1btmxRRkaGdu7cqQ4dOigkJMTdJcHECDsAgKuuoKBA7dq14+GvuCq4jIUmafDgwUpISFBiYqJat26t0NBQrVy5UufOndNDDz0kf39/dezYUR9++KEkqbq6WnFxcYqMjJSvr6+6dOmil19++RePYRiGFi1apA4dOsjX11c333yz/va3v12N0wNM7cEHH1RCQoJOnjwpi8WiG2+88Ve/bzt37pTFYtHWrVvVs2dP+fr66vbbb1dxcbE+/PBDde3aVQEBAZo4caLOnz9v+9yWLVs0YMAAtWrVSsHBwRo9erQKCgp+sb7PPvtMo0aNUsuWLRUaGqr7779fp0+fdtnfA65H2EGTtWbNGoWEhGjfvn1KSEjQf/3Xf+nee+9VbGysPvnkE40YMUL333+/zp8/r5qaGl1//fV6++239dlnn+mpp57SH//4R7399ttX3P+TTz6p119/XcuXL9eRI0c0c+ZM/e53v1NOTs5VPEvAfF5++WU9/fTTuv7661VUVKT9+/fX+fuWkpKiZcuWKTc3V4WFhRo/fryWLFmi9evX64MPPlB2draWLl1q63/u3DnNmjVL+/fv1/bt29WsWTPdfffdqqmpuWxtRUVFGjRokHr06KEDBw5oy5Yt+te//qXx48e79G8CFzOAJmjQoEHGgAEDbOsXL140/Pz8jPvvv9/WVlRUZEgyPv7448vuIz4+3rjnnnts6w888IBx5513GoZhGOXl5Ubz5s2N3Nxcu8/ExcUZEydOdOKZANemxYsXG+3btzcMo27ftx07dhiSjG3bttm2p6WlGZKMgoICW9vUqVONESNGXPG4xcXFhiTj8OHDhmEYxvHjxw1JxsGDBw3DMIz58+cbw4cPt/tMYWGhIcn44osv6n2+cC/m7KDJ6t69u+3fHh4eCg4OVkxMjK3t0lvvi4uLJUl//vOf9dprr+nEiROqqKhQVVWVevTocdl9f/bZZ/rxxx81bNgwu/aqqir17NnTyWcCXNsc+b79+/c+NDRULVq0UIcOHeza9u3bZ1svKCjQ/PnztWfPHp0+fdo2onPy5ElFR0fXqiUvL087duxQy5Yta20rKChQ586d63eScCvCDposLy8vu3WLxWLXZrFYJEk1NTV6++23NXPmTL300kvq16+f/P399eKLL2rv3r2X3fel/yF+8MEHuu666+y28c4dwLkc+b79/Dt+uf8P/PslqjFjxigiIkKrVq1SeHi4ampqFB0draqqqivWMmbMGL3wwgu1trVr186xE0OjQdjBNeGjjz5SbGys4uPjbW2/NEmxW7du8vHx0cmTJzVo0KCrUSJwzXLV9+3MmTM6evSoVqxYoYEDB0qSdu3a9Yuf6dWrl9555x3deOON8vTkJ9Is+C+Ja0KnTp30xhtvaOvWrYqMjNTatWu1f/9+RUZGXra/v7+/Zs+erZkzZ6qmpkYDBgxQWVmZcnNz1bJlSz3wwANX+QwA83LV961169YKDg7WypUr1a5dO508eVJPPPHEL35m2rRpWrVqlSZOnKjHH39cISEh+vrrr5WZmalVq1bJw8OjXrXAvQg7uCY8+uijOnTokCZMmCCLxaKJEycqPj7edmv65TzzzDNq27at0tLSdOzYMbVq1Uq9evXSH//4x6tYOXBtcMX3rVmzZsrMzNT06dMVHR2tLl266JVXXtHgwYOv+Jnw8HDt3r1bc+fO1YgRI1RZWan27dvrjjvuULNm3MDcVFkMwzDcXQQAAICrEFMBAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAAICpEXYAXPMGDx6sxMREd5cBwEUIOwAaBavVqhkzZqhTp05q3ry5QkNDNWDAAP35z3/W+fPn3V0egCaMd2MBcLtjx46pf//+atWqlVJTUxUTE6OLFy/qyy+/1F/+8heFh4dr7Nix7i7ziqqrq2WxWHh3EtBI8c0E4Hbx8fHy9PTUgQMHNH78eHXt2lUxMTG655579MEHH2jMmDGSpNLSUj3yyCNq27atAgICdPvtt+t///d/bftJSUlRjx49tHbtWt14440KDAzUfffdp7Nnz9r6nDt3TlOmTFHLli3Vrl07vfTSS7Xqqaqq0pw5c3TdddfJz89Pffv21c6dO23bMzIy1KpVK23atEndunWTj4+PTpw44bo/EIAGIewAcKszZ84oKytL06ZNk5+f32X7WCwWGYah3/72t7Jardq8ebPy8vLUq1cvDRkyRD/88IOtb0FBgd59911t2rRJmzZtUk5Ojp5//nnb9scff1w7duzQxo0blZWVpZ07dyovL8/ueA899JB2796tzMxMffrpp7r33nt1xx136KuvvrL1OX/+vNLS0vTaa6/pyJEjatu2rZP/MgCcxgAAN9qzZ48hydiwYYNde3BwsOHn52f4+fkZc+bMMbZv324EBAQYP/74o12/jh07GitWrDAMwzAWLFhgtGjRwigrK7Ntf/zxx42+ffsahmEYZ8+eNby9vY3MzEzb9jNnzhi+vr7GjBkzDMMwjK+//tqwWCzGt99+a3ecIUOGGMnJyYZhGMbrr79uSDIOHTrknD8CAJdizg6ARsFisdit79u3TzU1NZo8ebIqKyuVl5en8vJyBQcH2/WrqKhQQUGBbf3GG2+Uv7+/bb1du3YqLi6W9NOoT1VVlfr162fbHhQUpC5dutjWP/nkExmGoc6dO9sdp7Ky0u7Y3t7e6t69ewPOGMDVQtgB4FadOnWSxWLR559/btfeoUMHSZKvr68kqaamRu3atbObO3NJq1atbP/28vKy22axWFRTUyNJMgzjV+upqamRh4eH8vLy5OHhYbetZcuWtn/7+vrWCmgAGifCDgC3Cg4O1rBhw7Rs2TIlJCRccd5Or169ZLVa5enpqRtvvLFex+rUqZO8vLy0Z88e3XDDDZKkkpISffnllxo0aJAkqWfPnqqurlZxcbEGDhxYr+MAaFyYoAzA7V599VVdvHhRffr00VtvvaWjR4/qiy++0Lp16/T555/Lw8NDQ4cOVb9+/XTXXXdp69at+uabb5Sbm6snn3xSBw4cqNNxWrZsqbi4OD3++OPavn278vPz9eCDD9rdMt65c2dNnjxZU6ZM0YYNG3T8+HHt379fL7zwgjZv3uyqPwEAF2JkB4DbdezYUQcPHlRqaqqSk5N16tQp+fj4qFu3bpo9e7bi4+NlsVi0efNmzZs3T7///e/1/fffKywsTLfeeqtCQ0PrfKwXX3xR5eXlGjt2rPz9/ZWUlKTS0lK7Pq+//rqeffZZJSUl6dtvv1VwcLD69eunUaNGOfvUAVwFFqMuF7EBAACaKC5jAQAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAUyPsAAAAU/t/1i7OS//zT8EAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Sex',data=df,palette='viridis',)\n",
    "plt.xlabel(\"Gender\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2c9c1a3d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qb29vuxcAAHkpAffx/KU54/0vtrDTtm1bHTlyRPHx8bZXkyZNFBERofj4eFWvXl0BAQHatm2bbZusrCzt3r3b9pX1jRs3lpubm12f5ORkHT16lK+1BwAUyvWnB//+W75x611////4NGdHFNucHS8vr1zfm1G2bFn5+vra2kePHq1Zs2YpJCREISEhmjVrlsqUKaN+/fpJuvZlZ4MGDdLYsWPl6+urChUqaNy4capbt26uCc8AADjCxcVF5cqVU2pqqiSpTJkyfzqNAs5jGIYuXLig1NRUlStXLt+Pk8lLif66iPHjx+vixYsaPny40tLS1LRpU23dutX2jB1Jio6Olqurq3r16qWLFy+qbdu2iomJKdSbAgCAdG26hCRb4MGtV65cOdu/Q0GViIcKFjceKvjXw0MFATgiOztbV65cKe4y/nLc3NxuOniR37/fJXpkBwCAksDFxYUrBrexYn+oIAAAQFEi7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMrUNi5evWqtm/frsWLF+vcuXOSpDNnzigzM9OpxQEAABSWq6MbnDx5Ug888IBOnTqly5cvKzw8XF5eXpo7d64uXbqkN954oyjqBAAAKBCHR3ZGjRqlJk2aKC0tTR4eHrb2hx56SDt27HBqcQAAAIXl8MjOnj179OWXX8rd3d2uvWrVqvrvf//rtMIAAACcweGRnZycHGVnZ+dq//HHH+Xl5eWUogAAAJzF4bATHh6u+fPn25YtFosyMzM1bdo0derUyZm1AQAAFJrDl7Gio6PVunVr1alTR5cuXVK/fv303Xffyc/PT++9915R1AgAAFBgDoedwMBAxcfH67333tPXX3+tnJwcDRo0SBEREXYTlgEAAEoCh8OOJHl4eGjgwIEaOHCgs+sBAABwqnyFnQ0bNuR7h127di1wMQAAAM6Wr7DTvXv3fO3MYrHkeacWAABAcclX2MnJySnqOgAAAIoEXwQKAABMrUBhZ8eOHerSpYvuuusu1ahRQ126dNH27dudXRsAAEChORx2Fi5cqAceeEBeXl4aNWqURo4cKW9vb3Xq1EkLFy4sihoBAAAKzOFbz6OiohQdHa1//vOftraRI0eqRYsWeuGFF+zaAQAAipvDIzsZGRl64IEHcrW3b99eGRkZDu1r0aJFqlevnry9veXt7a2wsDB9+umntvWGYWj69OkKDAyUh4eHWrVqpWPHjtnt4/LlyxoxYoT8/PxUtmxZde3aVT/++KOjpwUAAEzK4bDTtWtXrVu3Llf7Rx99pAcffNChfVWpUkWzZ8/WwYMHdfDgQbVp00bdunWzBZq5c+dq3rx5WrhwoQ4cOKCAgACFh4fr3Llztn2MHj1a69at06pVq7Rnzx5lZmaqS5cu3AIPAAAkSRbDMAxHNpg5c6ZeeukltWjRQmFhYZKkffv26csvv9TYsWPl7e1t6zty5EiHC6pQoYJefPFFDRw4UIGBgRo9erQmTJgg6doojr+/v+bMmaMhQ4YoPT1dFStW1PLly9W7d29J0pkzZxQUFKRNmzapQ4cO+TpmRkaGfHx8lJ6eble/s9035Pki2zcc88XiKcVdAgCgkPL799vhOTtLlixR+fLllZCQoISEBFt7uXLltGTJEtuyxWJxKOxkZ2frgw8+0Pnz5xUWFqakpCSlpKSoffv2tj5Wq1UtW7ZUbGyshgwZori4OF25csWuT2BgoEJDQxUbG3vDsHP58mVdvnzZtuzo5TcAAHD7cDjsJCUlObWAI0eOKCwsTJcuXZKnp6fWrVunOnXqKDY2VpLk7+9v19/f318nT56UJKWkpMjd3V3ly5fP1SclJeWGx4yKitKMGTOceh4AAKBkKtRDBQ3DkINXwXKpVauW4uPjtW/fPg0bNkz9+/e3GzGyWCy5jvnHtrzqulmfiRMnKj093fY6ffp0oc4BAACUXAUKO++8847q1q0rDw8PeXh4qF69elq+fHmBCnB3d1eNGjXUpEkTRUVFqX79+nrllVcUEBAgSblGaFJTU22jPQEBAcrKylJaWtoN++TFarXa7gC7/gIAAObkcNiZN2+ehg0bpk6dOmn16tV6//339cADD2jo0KGKjo4udEGGYejy5csKDg5WQECAtm3bZluXlZWl3bt3q3nz5pKkxo0by83Nza5PcnKyjh49ausDAAD+2hyes7NgwQItWrRIjz/+uK2tW7duuueeezR9+nRFRkbme1/PPvusOnbsqKCgIJ07d06rVq3Srl27tHnzZlksFo0ePVqzZs1SSEiIQkJCNGvWLJUpU0b9+vWTJPn4+GjQoEEaO3asfH19VaFCBY0bN05169ZVu3btHD01AABgQg6HneTk5DxHTZo3b67k5GSH9vXTTz/pscceU3Jysnx8fFSvXj1t3rxZ4eHhkqTx48fr4sWLGj58uNLS0tS0aVNt3bpVXl5etn1ER0fL1dVVvXr10sWLF9W2bVvFxMTIxcXF0VMDAAAm5PBzdkJDQ9WvXz89++yzdu0zZ87U+++/ryNHjji1wFuB5+z89fCcHQC4/RXZc3ZmzJih3r176/PPP1eLFi1ksVi0Z88e7dixQ6tXry5U0QAAAM7m8ATlhx9+WPv375efn5/Wr1+vtWvXys/PT1999ZUeeuihoqgRAACgwBwe2ZGu3QW1YsUKZ9cCAADgdAV6zk5iYqImT56sfv36KTU1VZK0efPmXN9IDgAAUNwcDju7d+9W3bp1tX//fn344YfKzMyUJB0+fFjTpk1zeoEAAACF4XDYeeaZZzRz5kxt27ZN7u7utvbWrVtr7969Ti0OAACgsBwOO0eOHMlzInLFihX166+/OqUoAAAAZ3E47JQrVy7PhwceOnRId9xxh1OKAgAAcBaHw06/fv00YcIEpaSkyGKxKCcnR19++aXGjRtn9xUSAAAAJYHDYeeFF17QnXfeqTvuuEOZmZmqU6eO7r//fjVv3lyTJ08uihoBAAAKzOHn7Li5uendd9/Vc889p0OHDiknJ0cNGzZUSEhIUdQHAABQKAV6qKAk3XXXXapevbokyWKxOK0gAAAAZyrQQwWXLFmi0NBQlS5dWqVLl1ZoaKj+9a9/Obs2AACAQnN4ZGfKlCmKjo7WiBEjFBYWJknau3evIiMjdeLECc2cOdPpRQIAABSUw2Fn0aJFeuutt9S3b19bW9euXVWvXj2NGDGCsAMAAEoUhy9jZWdnq0mTJrnaGzdurKtXrzqlKAAAAGdxOOw8+uijWrRoUa72N998UxEREU4pCgAAwFkKdDfWkiVLtHXrVjVr1kyStG/fPp0+fVqPP/64xowZY+s3b94851QJAABQQA6HnaNHj6pRo0aSpMTEREnXvherYsWKOnr0qK0ft6MDAICSwOGws3PnzqKoAwAAoEgU6Dk7AAAAtwvCDgAAMDXCDgAAMDXCDgAAMLV8hZ1GjRopLS1NkvTcc8/pwoULRVoUAACAs+Qr7Bw/flznz5+XJM2YMUOZmZlFWhQAAICz5OvW8wYNGugf//iH7r33XhmGoZdeekmenp559p06dapTCwQAACiMfIWdmJgYTZs2TZ988oksFos+/fRTubrm3tRisRB2AABAiZKvsFOrVi2tWrVKklSqVCnt2LFDlSpVKtLCAAAAnMHhJyjn5OQURR0AAABFokBfBJqYmKj58+fr+PHjslgsql27tkaNGqW77rrL2fUBAAAUisPP2dmyZYvq1Kmjr776SvXq1VNoaKj279+ve+65R9u2bSuKGgEAAArM4ZGdZ555RpGRkZo9e3au9gkTJig8PNxpxQEAABSWwyM7x48f16BBg3K1Dxw4UAkJCU4pCgAAwFkcDjsVK1ZUfHx8rvb4+Hju0AIAACWOw5exBg8erCeffFI//PCDmjdvLovFoj179mjOnDkaO3ZsUdQIAABQYA6HnSlTpsjLy0svv/yyJk6cKEkKDAzU9OnTNXLkSKcXCAAAUBgOhx2LxaLIyEhFRkbq3LlzkiQvLy+nFwYAAOAMBXrOznWEHAAAUNI5PEEZAADgdkLYAQAApkbYAQAApuZQ2Lly5Ypat26tb7/9tqjqAQAAcCqHJii7ubnp6NGjslgsRVUPAACF0n7VxOIuAf+ztU9UcZcgqQCXsR5//HEtWbKkKGoBAABwOodvPc/KytK//vUvbdu2TU2aNFHZsmXt1s+bN89pxQEAABSWw2Hn6NGjatSokSTlmrvD5S0AAFDSOBx2du7cWRR1AAAAFIkC33r+/fffa8uWLbp48aIkyTAMpxUFAADgLA6HnV9//VVt27ZVzZo11alTJyUnJ0uSnnjiCb71HAAAlDgOh53IyEi5ubnp1KlTKlOmjK29d+/e2rx5s1OLAwAAKCyH5+xs3bpVW7ZsUZUqVezaQ0JCdPLkSacVBgAA4AwOj+ycP3/ebkTnul9++UVWq9UpRQEAADiLw2Hn/vvv1zvvvGNbtlgsysnJ0YsvvqjWrVs7tTgAAIDCcvgy1osvvqhWrVrp4MGDysrK0vjx43Xs2DGdPXtWX375ZVHUCAAAUGAOj+zUqVNHhw8f1t///neFh4fr/Pnz6tGjhw4dOqS77rqrKGoEAAAoMIdHdiQpICBAM2bMcHYtAAAATlegsJOWlqYlS5bo+PHjslgsql27tv7xj3+oQoUKzq4PAACgUBy+jLV7924FBwfr1VdfVVpams6ePatXX31VwcHB2r17d1HUCAAAUGAOj+w89dRT6tWrlxYtWiQXFxdJUnZ2toYPH66nnnpKR48edXqRAAAABeXwyE5iYqLGjh1rCzqS5OLiojFjxigxMdGpxQEAABSWw2GnUaNGOn78eK7248ePq0GDBs6oCQAAwGnydRnr8OHDtp9HjhypUaNG6fvvv1ezZs0kSfv27dNrr72m2bNnF02VAAAABZSvsNOgQQNZLBYZhmFrGz9+fK5+/fr1U+/evZ1XHQAAQCHlK+wkJSUVdR0AAABFIl9zdqpWrZrvlyOioqL0t7/9TV5eXqpUqZK6d++ub775xq6PYRiaPn26AgMD5eHhoVatWunYsWN2fS5fvqwRI0bIz89PZcuWVdeuXfXjjz86VAsAADCnAj1U8L///a++/PJLpaamKicnx27dyJEj872f3bt366mnntLf/vY3Xb16VZMmTVL79u2VkJCgsmXLSpLmzp2refPmKSYmRjVr1tTMmTMVHh6ub775Rl5eXpKk0aNH6+OPP9aqVavk6+ursWPHqkuXLoqLi7O7awwAAPz1OBx2li5dqqFDh8rd3V2+vr6yWCy2dRaLxaGws3nz5lz7rlSpkuLi4nT//ffLMAzNnz9fkyZNUo8ePSRJy5Ytk7+/v1auXKkhQ4YoPT1dS5Ys0fLly9WuXTtJ0ooVKxQUFKTt27erQ4cOuY57+fJlXb582backZHh0HsAAABuHw7fej516lRNnTpV6enpOnHihJKSkmyvH374oVDFpKenS5LtayeSkpKUkpKi9u3b2/pYrVa1bNlSsbGxkqS4uDhduXLFrk9gYKBCQ0Ntff4oKipKPj4+tldQUFCh6gYAACWXw2HnwoUL6tOnj0qVcnjTmzIMQ2PGjNG9996r0NBQSVJKSookyd/f366vv7+/bV1KSorc3d1Vvnz5G/b5o4kTJyo9Pd32On36tFPPBQAAlBwOJ5ZBgwbpgw8+cHoh//znP3X48GG99957udb9/lKZdC0Y/bHtj27Wx2q1ytvb2+4FAADMyeE5O1FRUerSpYs2b96sunXrys3NzW79vHnzHC5ixIgR2rBhgz7//HNVqVLF1h4QECDp2uhN5cqVbe2pqam20Z6AgABlZWUpLS3NbnQnNTVVzZs3d7gWAABgLg6P7MyaNUtbtmzRTz/9pCNHjujQoUO2V3x8vEP7MgxD//znP7V27Vp99tlnCg4OtlsfHBysgIAAbdu2zdaWlZWl3bt324JM48aN5ebmZtcnOTlZR48eJewAAADHR3bmzZunt99+WwMGDCj0wZ966imtXLlSH330kby8vGxzbHx8fOTh4SGLxaLRo0dr1qxZCgkJUUhIiGbNmqUyZcqoX79+tr6DBg3S2LFj5evrqwoVKmjcuHGqW7eu7e4sAADw1+Vw2LFarWrRooVTDr5o0SJJUqtWrezaly5dagtT48eP18WLFzV8+HClpaWpadOm2rp1q+0ZO5IUHR0tV1dX9erVSxcvXlTbtm0VExPDM3YAAIAsxu+/8CofoqKilJycrFdffbWoarrlMjIy5OPjo/T09CKdrHzfkOeLbN9wzBeLpxR3CQCKSPtVE4u7BPzP1j5RRbr//P79dnhk56uvvtJnn32mTz75RPfcc0+uCcpr1651vFoAAIAi4nDYKVeunO1pxgAAACVdgb4uAgAA4Hbh3McgAwAAlDAOj+wEBwff9OnFhf1+LAAAAGdyOOyMHj3abvnKlSs6dOiQNm/erKefftpZdQEAADiFw2Fn1KhReba/9tprOnjwYKELAgAAcCanzdnp2LGjPvzwQ2ftDgAAwCmcFnbWrFmjChUqOGt3AAAATuHwZayGDRvaTVA2DEMpKSn6+eef9frrrzu1OAAAgMJyOOx0797dbrlUqVKqWLGiWrVqpbvvvttZdQEAADiFw2Fn2rRpRVEHAABAkeChggAAwNTyPbJTqlSpmz5MUJIsFouuXr1a6KIAAACcJd9hZ926dTdcFxsbqwULFsgwDKcUBQAA4Cz5DjvdunXL1faf//xHEydO1Mcff6yIiAg9//zzTi0OAACgsAo0Z+fMmTMaPHiw6tWrp6tXryo+Pl7Lli3TnXfe6ez6AAAACsWhsJOenq4JEyaoRo0aOnbsmHbs2KGPP/5YoaGhRVUfAABAoeT7MtbcuXM1Z84cBQQE6L333svzshYAAEBJk++w88wzz8jDw0M1atTQsmXLtGzZsjz7rV271mnFAQAAFFa+w87jjz/+p7eeAwAAlDT5DjsxMTFFWAYAAEDR4AnKAADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1Ag7AADA1FyLuwAAMIP7hjxf3CXgfzxaF3cFKGkY2QEAAKZG2AEAAKZWrGHn888/14MPPqjAwEBZLBatX7/ebr1hGJo+fboCAwPl4eGhVq1a6dixY3Z9Ll++rBEjRsjPz09ly5ZV165d9eOPP97CswAAACVZsYad8+fPq379+lq4cGGe6+fOnat58+Zp4cKFOnDggAICAhQeHq5z587Z+owePVrr1q3TqlWrtGfPHmVmZqpLly7Kzs6+VacBAABKsGKdoNyxY0d17Ngxz3WGYWj+/PmaNGmSevToIUlatmyZ/P39tXLlSg0ZMkTp6elasmSJli9frnbt2kmSVqxYoaCgIG3fvl0dOnS4ZecCAABKphI7ZycpKUkpKSlq3769rc1qtaply5aKjY2VJMXFxenKlSt2fQIDAxUaGmrrk5fLly8rIyPD7gUAAMypxIadlJQUSZK/v79du7+/v21dSkqK3N3dVb58+Rv2yUtUVJR8fHxsr6CgICdXDwAASooSG3aus1gsdsuGYeRq+6M/6zNx4kSlp6fbXqdPn3ZKrQAAoOQpsWEnICBAknKN0KSmptpGewICApSVlaW0tLQb9smL1WqVt7e33QsAAJhTiQ07wcHBCggI0LZt22xtWVlZ2r17t5o3by5Jaty4sdzc3Oz6JCcn6+jRo7Y+AADgr61Y78bKzMzU999/b1tOSkpSfHy8KlSooDvvvFOjR4/WrFmzFBISopCQEM2aNUtlypRRv379JEk+Pj4aNGiQxo4dK19fX1WoUEHjxo1T3bp1bXdnAQCAv7ZiDTsHDx5U69b//yUmY8aMkST1799fMTExGj9+vC5evKjhw4crLS1NTZs21datW+Xl5WXbJjo6Wq6ururVq5cuXryotm3bKiYmRi4uLrf8fAAAQMljMQzDKO4iiltGRoZ8fHyUnp5epPN3+KLAkuOLxVOKuwSYDJ/vksOj9YXiLgH/s7VPVJHuP79/v0vsnB0AAABnIOwAAABTI+wAAABTI+wAAABTI+wAAABTI+wAAABTI+wAAABTK9aHCgLFpf2qicVdAv6nqJ/DAQCM7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMj7AAAAFMzTdh5/fXXFRwcrNKlS6tx48b64osvirskAABQApgi7Lz//vsaPXq0Jk2apEOHDum+++5Tx44dderUqeIuDQAAFDNThJ158+Zp0KBBeuKJJ1S7dm3Nnz9fQUFBWrRoUXGXBgAAiplrcRdQWFlZWYqLi9Mzzzxj196+fXvFxsbmuc3ly5d1+fJl23J6erokKSMjo+gKlXQ161KR7h/5d/XC5T/vhFuiqD93twqf75KDz3fJUdSf7+v7Nwzjpv1u+7Dzyy+/KDs7W/7+/nbt/v7+SklJyXObqKgozZgxI1d7UFBQkdSIEiimuAvAdT6Doou7BJhNTHEXgOtu1ef73Llz8vHxueH62z7sXGexWOyWDcPI1XbdxIkTNWbMGNtyTk6Ozp49K19f3xtuA/PIyMhQUFCQTp8+LW9v7+IuB4AT8fn+azEMQ+fOnVNgYOBN+932YcfPz08uLi65RnFSU1NzjfZcZ7VaZbVa7drKlStXVCWihPL29uaXIWBSfL7/Om42onPdbT9B2d3dXY0bN9a2bdvs2rdt26bmzZsXU1UAAKCkuO1HdiRpzJgxeuyxx9SkSROFhYXpzTff1KlTpzR06NDiLg0AABQzU4Sd3r1769dff9Vzzz2n5ORkhYaGatOmTapatWpxl4YSyGq1atq0abkuZQK4/fH5Rl4sxp/drwUAAHAbu+3n7AAAANwMYQcAAJgaYQcAAJgaYQdw0IkTJ2SxWBQfH1+kx5k+fboaNGhQpMcAzKpatWqaP39+kR5j165dslgs+u2334r0OCg8wg6cZsCAAbJYLJo9e7Zd+/r16x1+MvWt+EVVUEFBQba7/gCUTAcOHNCTTz5Z3GWghCDswKlKly6tOXPmKC0trbhLKZArV678aR8XFxcFBATI1dUUT24AbitZWVn56lexYkWVKVOmiKvB7YKwA6dq166dAgICFBUVddN+H374oe655x5ZrVZVq1ZNL7/8sm1dq1atdPLkSUVGRspisdx0VGj69Om68847ZbVaFRgYqJEjR9rWWSwWrV+/3q5/uXLlFBMTI+n/L0etXr1arVq1UunSpfX666/Lw8NDmzdvtttu7dq1Klu2rDIzM+0uY+Xk5KhKlSp644037Pp//fXXslgs+uGHHyRJ6enpevLJJ1WpUiV5e3urTZs2+ve//223zezZs+Xv7y8vLy8NGjRIly7xLdowhzVr1qhu3bry8PCQr6+v2rVrp/Pnz6tVq1YaPXq0Xd/u3btrwIABtuVq1app5syZGjBggHx8fDR48GCFhYXpmWeesdvu559/lpubm3bu3Gnb7vrocN++fdWnTx+7/leuXJGfn5+WLl0q6dp3LM2dO1fVq1eXh4eH6tevrzVr1thts2nTJtWsWVMeHh5q3bq1Tpw4Ufg3B7cEYQdO5eLiolmzZmnBggX68ccf8+wTFxenXr16qU+fPjpy5IimT5+uKVOm2ELI2rVrVaVKFdtDIpOTk/Pcz5o1axQdHa3Fixfru+++0/r161W3bl2Ha54wYYJGjhyp48ePq2fPnurcubPeffdduz4rV65Ut27d5OnpaddeqlQp9enTJ8/+YWFhql69ugzDUOfOnZWSkqJNmzYpLi5OjRo1Utu2bXX27FlJ0urVqzVt2jS98MILOnjwoCpXrqzXX3/d4XMBSprk5GT17dtXAwcO1PHjx7Vr1y716NFDjjzi7cUXX1RoaKji4uI0ZcoURURE6L333rPbx/vvvy9/f3+1bNky1/YRERHasGGDMjMzbW1btmzR+fPn9fDDD0uSJk+erKVLl2rRokU6duyYIiMj9eijj2r37t2SpNOnT6tHjx7q1KmT4uPj9cQTT+QKXCjBDMBJ+vfvb3Tr1s0wDMNo1qyZMXDgQMMwDGPdunXG7/9T69evnxEeHm637dNPP23UqVPHtly1alUjOjr6psd7+eWXjZo1axpZWVl5rpdkrFu3zq7Nx8fHWLp0qWEYhpGUlGRIMubPn2/XZ+3atYanp6dx/vx5wzAMIz093ShdurSxceNGu+0OHTpkGIZhfP3114bFYjFOnDhhGIZhZGdnG3fccYfx2muvGYZhGDt27DC8vb2NS5cu2R3nrrvuMhYvXmwYhmGEhYUZQ4cOtVvftGlTo379+jd9D4CSLi4uzpBk+3z8XsuWLY1Ro0bZtXXr1s3o37+/bblq1apG9+7d7fqkpqYarq6uxueff25rCwsLM55++mm77a7/DsnKyjL8/PyMd955x7a+b9++Rs+ePQ3DMIzMzEyjdOnSRmxsrN1xBg0aZPTt29cwDMOYOHGiUbt2bSMnJ8e2fsKECYYkIy0t7c/fCBQrRnZQJObMmaNly5YpISEh17rjx4+rRYsWdm0tWrTQd999p+zs7Hwfo2fPnrp48aKqV6+uwYMHa926dbp69arDtTZp0sRuuXPnznJ1ddWGDRskXbvk5uXlpfbt2+e5fcOGDXX33XfrvffekyTt3r1bqamp6tWrl6RrI1mZmZny9fWVp6en7ZWUlKTExERJ196TsLAwu/3+cRm4HdWvX19t27ZV3bp11bNnT7311lsOz+n742e0YsWKCg8Pt42oJiUlae/evYqIiMhzezc3N/Xs2dPW//z58/roo49s/RMSEnTp0iWFh4fbfUbfeecdu89os2bN7C6r8xm9fRB2UCTuv/9+dejQQc8++2yudYZh5JqHYxTgW0uCgoL0zTff6LXXXpOHh4eGDx+u+++/3zbJ2GKx5NpvXhOQy5Yta7fs7u6uRx55RCtXrpR07ZJU7969bzohOSIiwq5/hw4d5OfnJ0nKyclR5cqVFR8fb/f65ptv9PTTTzt83sDtxMXFRdu2bdOnn36qOnXqaMGCBapVq5aSkpJUqlSpAn1GpWufuTVr1ujKlStauXKl7rnnHtWvX/+GdURERGj79u1KTU3V+vXrVbp0aXXs2FHStc+oJG3cuNHuM5qQkGCbt1OQ31EoOQg7KDKzZ8/Wxx9/rNjYWLv2OnXqaM+ePXZtsbGxqlmzplxcXCRdCxz5GeXx8PBQ165d9eqrr2rXrl3au3evjhw5Iuna//39fr7Pd999pwsXLuSr9oiICG3evFnHjh3Tzp07b/h/jNf169dPR44cUVxcnNasWWPXv1GjRkpJSZGrq6tq1Khh97oeiGrXrq19+/bZ7fOPy8DtymKxqEWLFpoxY4YOHTokd3d3rVu3LtdnNDs7W0ePHs3XPrt3765Lly5p8+bNWrlypR599NGb9m/evLmCgoL0/vvv691331XPnj3l7u4u6drvJKvVqlOnTuX6jAYFBdn68Bm9fXHvLIpM3bp1FRERoQULFti1jx07Vn/729/0/PPPq3fv3tq7d68WLlxoNyG3WrVq+vzzz9WnTx9ZrVZbKPi9mJgYZWdnq2nTpipTpoyWL18uDw8P27fdt2nTRgsXLlSzZs2Uk5OjCRMmyM3NLV+1t2zZUv7+/oqIiFC1atXUrFmzm/YPDg5W8+bNNWjQIF29elXdunWzrWvXrp3CwsLUvXt3zZkzR7Vq1dKZM2e0adMmde/eXU2aNNGoUaPUv39/NWnSRPfee6/effddHTt2TNWrV89XvUBJtX//fu3YsUPt27dXpUqVtH//fv3888+qXbu2ypYtqzFjxmjjxo266667FB0dne8H9JUtW1bdunXTlClTdPz4cfXr1++m/S0Wi/r166c33nhD3377re2uLUny8vLSuHHjFBkZqZycHN17773KyMhQbGysPD091b9/fw0dOlQvv/yyxowZoyFDhiguLs52UwVuA8U6Ywim8vsJytedOHHCsFqtxh//U1uzZo1Rp04dw83NzbjzzjuNF1980W793r17jXr16uW57XXr1q0zmjZtanh7extly5Y1mjVrZmzfvt22/r///a/Rvn17o2zZskZISIixadOmPCcoX59o/EdPP/20IcmYOnWqXfuNtnvttdcMScbjjz+ea18ZGRnGiBEjjMDAQMPNzc0ICgoyIiIijFOnTtn6vPDCC4afn5/h6elp9O/f3xg/fjwTlHHbS0hIMDp06GBUrFjRsFqtRs2aNY0FCxYYhnFt4vCwYcOMChUqGJUqVTKioqLynKB8o5sVNm7caEgy7r///lzr8tru2LFjhiSjatWqdhONDcMwcnJyjFdeecWoVauW4ebmZlSsWNHo0KGDsXv3blufjz/+2KhRo4ZhtVqN++67z3j77beZoHybsBgGFyIBAIB5MWcHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHAACYGmEHQImza9cuWSyWfH91QH5Mnz5dDRo0cNr+ANw+CDsA8pSamqohQ4bozjvvlNVqVUBAgDp06KC9e/cW+bGbN2+u5ORk+fj4FPmx8uPEiROyWCyKj493eFuLxaL169c7vSYA+ccXgQLI08MPP6wrV65o2bJlql69un766Sft2LFDZ8+eLfA+DcNQdna2XF1v/qvH3d1dAQEBBT4OAPweIzsAcvntt9+0Z88ezZkzR61bt1bVqlX197//XRMnTlTnzp0l5T3a8dtvv8lisWjXrl2S/v9y1JYtW9SkSRNZrVYtWbJEFotF//nPf+yOOW/ePFWrVk2GYdhdxkpPT5eHh4c2b95s13/t2rUqW7asMjMzJUkTJkxQzZo1VaZMGVWvXl1TpkzRlStX8n3OaWlpioiIUMWKFeXh4aGQkBAtXbpU0rVvtZekhg0bymKxqFWrVpKkAwcOKDw8XH5+fvLx8VHLli319ddf2/ZZrVo1SdJDDz0ki8ViWx4wYIC6d+9ud/zRo0fb9itJa9asUd26deXh4SFfX1+1a9dO58+fz/f5APh/hB0AuXh6esrT01Pr16/X5cuXC72/8ePHKyoqSsePH9cjjzyixo0b691337Xrs3LlSvXr108Wi8Wu3cfHR507d86zf7du3eTp6SlJ8vLyUkxMjBISEvTKK6/orbfeUnR0dL5rnDJlihISEvTpp5/q+PHjWrRokfz8/CRJX331lSRp+/btSk5O1tq1ayVJ586dU//+/fXFF19o3759CgkJUadOnXTu3DlJ18KQJC1dulTJycm25T+TnJysvn37auDAgTp+/Lh27dqlHj16iO9tBgqGy1gAcnF1dVVMTIwGDx6sN954Q40aNVLLli3Vp08f1atXz+H9PffccwoPD7ctR0REaOHChXr++eclSd9++63i4uL0zjvv5Ll9RESEHn/8cV24cEFlypRRRkaGNm7cqA8//NDWZ/Lkybafq1WrprFjx+r999/X+PHj81XjqVOn1LBhQzVp0sS2j+sqVqwoSfL19bW7vNamTRu7fSxevFjly5fX7t271aVLF9t25cqVc+iyXHJysq5evaoePXqoatWqkqS6devme3sA9hjZAZCnhx9+WGfOnNGGDRvUoUMH7dq1S40aNVJMTIzD+7oeIK7r06ePTp48qX379kmS3n33XTVo0EB16tTJc/vOnTvL1dVVGzZskCR9+OGH8vLyUvv27W191qxZo3vvvVcBAQHy9PTUlClTdOrUqXzXOGzYMK1atUoNGjTQ+PHjFRsb+6fbpKamaujQoapZs6Z8fHzk4+OjzMxMh46bl/r166tt27aqW7euevbsqbfeektpaWmF2ifwV0bYAXBDpUuXVnh4uKZOnarY2FgNGDBA06ZNkySVKnXt18fvL63caI5M2bJl7ZYrV66s1q1ba+XKlZKk9957T48++ugN63B3d9cjjzxi679y5Ur17t3bNtF537596tOnjzp27KhPPvlEhw4d0qRJk5SVlZXvc+3YsaNOnjyp0aNH68yZM2rbtq3GjRt3020GDBiguLg4zZ8/X7GxsYqPj5evr++fHrdUqVK5Lkn9/r1zcXHRtm3b9Omnn6pOnTpasGCBatWqpaSkpHyfD4D/R9gBkG916tSxTZK9fokmOTnZtt6RW7MjIiL0/vvva+/evUpMTFSfPn3+tP/mzZt17Ngx7dy5UxEREbZ1X375papWrapJkyapSZMmCgkJ0cmTJx04s2sqVqyoAQMGaMWKFZo/f77efPNNSdfCliRlZ2fb9f/iiy80cuRIderUSffcc4+sVqt++eUXuz5ubm65tqtYsaLd+yblfu8sFotatGihGTNm6NChQ3J3d9e6descPicAhB0Aefj111/Vpk0brVixQocPH1ZSUpI++OADzZ07V926dZMkeXh4qFmzZpo9e7YSEhL0+eef282b+TM9evRQRkaGhg0bptatW+uOO+64af+WLVvK399fERERqlatmpo1a2ZbV6NGDZ06dUqrVq1SYmKiXn31VYeDwdSpU/XRRx/p+++/17Fjx/TJJ5+odu3akqRKlSrZ7gj76aeflJ6ebjvu8uXLdfz4ce3fv18RERHy8PCw22+1atW0Y8cOpaSk2C5FtWnTRgcPHtQ777yj7777TtOmTdPRo0dt2+zfv1+zZs3SwYMHderUKa1du1Y///yzrR4ADjIA4A8uXbpkPPPMM0ajRo0MHx8fo0yZMkatWrWMyZMnGxcuXLD1S0hIMJo1a2Z4eHgYDRo0MLZu3WpIMnbu3GkYhmHs3LnTkGSkpaXleZyePXsakoy3337brv1G2z399NOGJGPq1Km59vX0008bvr6+hqenp9G7d28jOjra8PHxsa2fNm2aUb9+/Rue8/PPP2/Url3b8PDwMCpUqGB069bN+OGHH2zr33rrLSMoKMgoVaqU0bJlS8MwDOPrr782mjRpYlitViMkJMT44IMPjKpVqxrR0dG27TZs2GDUqFHDcHV1NapWrWprnzp1quHv72/4+PgYkZGRxj//+U/bfhMSEowOHToYFStWNKxWq1GzZk1jwYIFN6wdwM1ZDIN7GQEAgHlxGQsAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJgaYQcAAJja/wE93Dy7wI1HzAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Survived',hue='Sex',data=df,palette='viridis',)\n",
    "plt.xlabel(\"Survival status\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.xticks(ticks=[0,1],labels=['Not survived','survived'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "3764d1b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['Sex'] == 'male'].Survived.groupby(df.Survived).count().plot(kind='pie',\n",
    "figsize=(3, 6),explode=[0,0.05],autopct='%1.1f%%',labels=[\"Not survived\",\"Survived\"])\n",
    "plt.ylabel(\"\")\n",
    "plt.title(\"Male survival rate\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "169645c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df['Sex'] == 'female'].Survived.groupby(df.Survived).count().plot(kind='pie',\n",
    "figsize=(3, 6),explode=[0,0.05],autopct='%1.1f%%',labels=[\"Not survived\",\"Survived\"])\n",
    "plt.ylabel(\"\")\n",
    "plt.title(\"Female survival rate\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5576a9da",
   "metadata": {},
   "source": [
    "`Observation:`\n",
    "- Survival rate was female was much higher in comparison to male"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9010efd",
   "metadata": {},
   "source": [
    "## visualizing the population of different passenger class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a5501217",
   "metadata": {},
   "outputs": [
    {
     "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='viridis',)\n",
    "plt.xlabel(\"Pclass\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1207a2cb",
   "metadata": {},
   "source": [
    "## Visualization of people survived from different passenger class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "92b36c18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Survived',hue='Pclass',data=df,palette='viridis',)\n",
    "plt.xlabel(\"Survival status\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.xticks(ticks=[0,1],labels=['Not survived','survived'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "c79a5904",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\TUFAN\\anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n",
      "C:\\Users\\TUFAN\\AppData\\Local\\Temp\\ipykernel_4988\\2618515606.py:3: UserWarning: The figure layout has changed to tight\n",
      "  plt.tight_layout()\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1072.11x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'Pclass', hue = 'Survived', col = 'Sex', kind = 'count', data =\n",
    "df,palette='viridis' )\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6bcd9e7",
   "metadata": {},
   "source": [
    "`Observation:`\n",
    "- Though population of P class 3 was the highest, yet they had the least survival rate\n",
    "- Males from P class 3 had the least survival rate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36ec8d43",
   "metadata": {},
   "source": [
    "## Visualization of people survived from different Embarkment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "bd64fa3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Embarked',data=df,palette='coolwarm',)\n",
    "plt.xlabel(\"Embarked\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "645bcd01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Survived',hue='Embarked',data=df,palette='viridis',)\n",
    "plt.xlabel(\"Survival status\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.xticks(ticks=[0,1],labels=['Not survived','survived'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "c3abce5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes = plt.subplots(1, 2, figsize=(12, 6))\n",
    "sns.countplot(x='SibSp',data=df,ax=axes[0],palette='husl')\n",
    "sns.countplot(x='Parch',data=df,ax=axes[1],palette='husl')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "8c3101aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x ='Survived', hue='SibSp',data=df,palette='viridis')\n",
    "plt.xticks(ticks=[0,1],labels=['Not survived','survived'])\n",
    "plt.xlabel(\"Survival status\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.title(\"Survival population of Sibsp\")\n",
    "plt.show()\n",
    "\n",
    "sns.countplot(x ='Survived',hue='Parch',data=df,palette='viridis')\n",
    "plt.xticks(ticks=[0,1],labels=['Not survived','survived'])\n",
    "plt.title(\"Survival population of Parch\")\n",
    "plt.xlabel(\"Survival status\")\n",
    "plt.ylabel(\"Number of people\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb06cb1f",
   "metadata": {},
   "source": [
    "## Distribution of Fare and age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "100982ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes = plt.subplots(1, 2, figsize=(12, 6))\n",
    "sns.histplot(df['Fare'], kde=True,ax=axes[0])\n",
    "sns.histplot(df['Age'].dropna(),kde=True,ax=axes[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c353abfe",
   "metadata": {},
   "source": [
    "## Visualizing survival rate in different age category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "ae6090fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define cut points and label names\n",
    "cut_points = [ 0, 5, 12, 18, 35, 60, 100]\n",
    "label_names = [ 'Infant', \"Child\", 'Teenager', \"Young Adult\", 'Adult', 'Senior']\n",
    "\n",
    "# Create the \"Age_categories\" column\n",
    "df['Age_categories'] = pd.cut(df['Age'], bins=cut_points, labels=label_names,right=False)\n",
    "\n",
    "# Creating a pivot table for survival rates based on age categories\n",
    "age_cat_pivot = df.pivot_table(index=\"Age_categories\", values=\"Survived\")\n",
    "\n",
    "# Define colors for each bar\n",
    "colors = ['blue', 'green', 'orange', 'purple', 'pink', 'brown']\n",
    "\n",
    "# Plotting the bar chart with different colors for each bar\n",
    "fig, ax = plt.subplots()\n",
    "bars = ax.bar(age_cat_pivot.index, age_cat_pivot['Survived'], color=colors)\n",
    "\n",
    "# Adding a legend with the specified colors\n",
    "handles = [plt.Rectangle((0, 0), 1, 1, color=colors[i]) for i in\n",
    "range(len(colors))]\n",
    "ax.legend(handles, label_names)\n",
    "ax.set_title('Survival Rates by Age Category')\n",
    "ax.set_xlabel('Age Category')\n",
    "ax.set_ylabel('Survival Rate')\n",
    "plt.xticks(rotation=40)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c87830f0",
   "metadata": {},
   "source": [
    "`Observation:`\n",
    "   - Young adult had the least survival rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "2af809e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(x='Fare',hue='Survived',data=df,kde=True)\n",
    "plt.legend(labels=['survived','not survived'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "89f0f270",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(x='Age',hue='Survived',data=df,kde=True)\n",
    "plt.legend(labels=['survived','not survived'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5e94f49",
   "metadata": {},
   "source": [
    "## Checking for correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "0d60d5de",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace({'Sex':{'male':1,'female':0},'Embarked':{'S':0,'C':1,'Q':2}},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "6a884c47",
   "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",
       "      <th>Age_categories</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>1</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>0</td>\n",
       "      <td>Young Adult</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>0</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>1</td>\n",
       "      <td>Adult</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>0</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>0</td>\n",
       "      <td>Young Adult</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>0</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>0</td>\n",
       "      <td>Adult</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>1</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>0</td>\n",
       "      <td>Adult</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  Parch  \\\n",
       "0                            Braund, Mr. Owen Harris    1  22.0      1      0   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...    0  38.0      1      0   \n",
       "2                             Heikkinen, Miss. Laina    0  26.0      0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)    0  35.0      1      0   \n",
       "4                           Allen, Mr. William Henry    1  35.0      0      0   \n",
       "\n",
       "             Ticket     Fare  Embarked Age_categories  \n",
       "0         A/5 21171   7.2500         0    Young Adult  \n",
       "1          PC 17599  71.2833         1          Adult  \n",
       "2  STON/O2. 3101282   7.9250         0    Young Adult  \n",
       "3            113803  53.1000         0          Adult  \n",
       "4            373450   8.0500         0          Adult  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "c31d9fe3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_num = df[['Fare','Parch','SibSp','Age','Sex','Pclass','Embarked','Survived']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "d12b4813",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df_num.corr(),annot=True)\n",
    "plt.show()"
   ]
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    "`Observation:`\n",
    "- Fare, sex, Pclass, Embarked has correlation with survived column"
   ]
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    "# `Conclusion`:\n",
    "\n",
    "\n",
    "1. **Gender Disparity**: The survival rate among females was significantly higher compared to males. This observation aligns with the \"women and children first\" protocol followed during the Titanic disaster, reflecting societal norms of the time prioritizing women's and children's safety.\n",
    "\n",
    "2. **Passenger Class Disparity**: Although the population of passengers in Class 3 was the highest, they had the lowest survival rate. This indicates a potential correlation between socio-economic status and survival, with passengers in higher classes likely having better access to lifeboats and other resources during the evacuation.\n",
    "\n",
    "3. **Gender and Passenger Class Interaction**: Further analysis reveals that males from Class 3 had the lowest survival rate. This suggests a compounded effect of gender and socio-economic status, where male passengers in the lower classes faced the highest risk of not surviving the disaster.\n",
    "\n",
    "4. **Age Factor**: Young adults had the least survival rate, indicating that age played a role in survival outcomes. This could be attributed to the \"women and children first\" policy, where younger individuals were given priority during the evacuation.\n",
    "\n",
    "5. **Correlation with Survived Column**: The variables fare, sex, passenger class (Pclass), and embarkation point (Embarked) show correlations with the survival outcome. This reinforces the importance of these factors in determining survival chances during the Titanic disaster.\n"
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