{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA Danych dotyczących Titanica"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## O Danych\n",
    "\n",
    "Dane o pasażerach Titanica\n",
    "\n",
    "Zbiór danych zawiera informacje o pasażerach RMS Titanic, który zatonął 15 kwietnia 1912 roku po zderzeniu z górą\n",
    "lodową. Dane obejmują takie atrybuty jak klasa podróży, wiek, płeć, liczba rodzeństwa/małżonków na pokładzie,\n",
    "liczba rodziców/dzieci na pokładzie, cena biletu oraz miejsce zaokrętowania.\n",
    "\n",
    "Zbiór zawiera także informację o tym, czy pasażer przeżył katastrofę.\n",
    "\n",
    "Titanic przewoził ponad 2,200 osób, z czego ponad 1,500 zginęło, co czyni tę katastrofę jedną z najbardziej\n",
    "tragicznych w historii morskiej.\n",
    "\n",
    "Kolumny:\n",
    "\n",
    "* **pclass** - Klasa biletu\n",
    "* **survived** - Czy pasażer przeżył katastrofę\n",
    "* **name** - Imię i nazwisko pasażera\n",
    "* **sex** - Płeć pasażera\n",
    "* **age** - Wiek pasażera\n",
    "* **sibsp** - Liczba rodzeństwa/małżonków na pokładzie\n",
    "* **parch** - Liczba rodziców/dzieci na pokładzie\n",
    "* **ticket** - Numer biletu\n",
    "* **fare** - Cena biletu\n",
    "* **cabin** - Numer kabiny\n",
    "* **embarked** - Port, w którym pasażer wszedł na pokład (C = Cherbourg, Q = Queenstown, S = Southampton)\n",
    "* **boat** - Numer łodzi ratunkowej\n",
    "* **body** - Numer ciała (jeśli pasażer nie przeżył i ciało zostało odnalezione)\n",
    "* **home.dest** - Miejsce docelowe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Opis obrazka](https://upload.wikimedia.org/wikipedia/commons/f/fd/RMS_Titanic_3.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Ogólny przegląd danych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Set display options\n",
    "pd.set_option('display.max_columns', None)  # Display all columns\n",
    "pd.set_option('display.width', 1000)        # Set the display width to a large value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Allen, Miss. Elisabeth Walton</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24160</td>\n",
       "      <td>211.3375</td>\n",
       "      <td>B5</td>\n",
       "      <td>S</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St Louis, MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Allison, Master. Hudson Trevor</td>\n",
       "      <td>male</td>\n",
       "      <td>0.9167</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Allison, Miss. Helen Loraine</td>\n",
       "      <td>female</td>\n",
       "      <td>2.0000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
       "      <td>male</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
       "      <td>female</td>\n",
       "      <td>25.0000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>113781</td>\n",
       "      <td>151.5500</td>\n",
       "      <td>C22 C26</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Montreal, PQ / Chesterville, ON</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Zakarian, Mr. Mapriededer</td>\n",
       "      <td>male</td>\n",
       "      <td>26.5000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2656</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Zakarian, Mr. Ortin</td>\n",
       "      <td>male</td>\n",
       "      <td>27.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2670</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Zimmerman, Mr. Leo</td>\n",
       "      <td>male</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>315082</td>\n",
       "      <td>7.8750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1310 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                             name     sex      age  sibsp  parch  ticket      fare    cabin embarked boat   body                        home.dest\n",
       "0        1.0       1.0                    Allen, Miss. Elisabeth Walton  female  29.0000    0.0    0.0   24160  211.3375       B5        S    2    NaN                     St Louis, MO\n",
       "1        1.0       1.0                   Allison, Master. Hudson Trevor    male   0.9167    1.0    2.0  113781  151.5500  C22 C26        S   11    NaN  Montreal, PQ / Chesterville, ON\n",
       "2        1.0       0.0                     Allison, Miss. Helen Loraine  female   2.0000    1.0    2.0  113781  151.5500  C22 C26        S  NaN    NaN  Montreal, PQ / Chesterville, ON\n",
       "3        1.0       0.0             Allison, Mr. Hudson Joshua Creighton    male  30.0000    1.0    2.0  113781  151.5500  C22 C26        S  NaN  135.0  Montreal, PQ / Chesterville, ON\n",
       "4        1.0       0.0  Allison, Mrs. Hudson J C (Bessie Waldo Daniels)  female  25.0000    1.0    2.0  113781  151.5500  C22 C26        S  NaN    NaN  Montreal, PQ / Chesterville, ON\n",
       "...      ...       ...                                              ...     ...      ...    ...    ...     ...       ...      ...      ...  ...    ...                              ...\n",
       "1305     3.0       0.0                            Zabour, Miss. Thamine  female      NaN    1.0    0.0    2665   14.4542      NaN        C  NaN    NaN                              NaN\n",
       "1306     3.0       0.0                        Zakarian, Mr. Mapriededer    male  26.5000    0.0    0.0    2656    7.2250      NaN        C  NaN  304.0                              NaN\n",
       "1307     3.0       0.0                              Zakarian, Mr. Ortin    male  27.0000    0.0    0.0    2670    7.2250      NaN        C  NaN    NaN                              NaN\n",
       "1308     3.0       0.0                               Zimmerman, Mr. Leo    male  29.0000    0.0    0.0  315082    7.8750      NaN        S  NaN    NaN                              NaN\n",
       "1309     NaN       NaN                                              NaN     NaN      NaN    NaN    NaN     NaN       NaN      NaN      NaN  NaN    NaN                              NaN\n",
       "\n",
       "[1310 rows x 14 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('26__titanic.csv', sep=\",\")\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Po wczytaniu pliku od razu rzuca się w oczy nadmiarowy pusty wiersz z indexem 1309, później go prawdopodobnie usuniemy. Dodatkowo mamy informację, że Titanic przewoził ponad 2200 osób, a baza zawiera tylko trochę ponad 1300 wierszy, co znaczy, że nie mamy danych o wszystkich pasażerach statku. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Basic information about the dataset:\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1310 entries, 0 to 1309\n",
      "Data columns (total 14 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   pclass     1309 non-null   float64\n",
      " 1   survived   1309 non-null   float64\n",
      " 2   name       1309 non-null   object \n",
      " 3   sex        1309 non-null   object \n",
      " 4   age        1046 non-null   float64\n",
      " 5   sibsp      1309 non-null   float64\n",
      " 6   parch      1309 non-null   float64\n",
      " 7   ticket     1309 non-null   object \n",
      " 8   fare       1308 non-null   float64\n",
      " 9   cabin      295 non-null    object \n",
      " 10  embarked   1307 non-null   object \n",
      " 11  boat       486 non-null    object \n",
      " 12  body       121 non-null    float64\n",
      " 13  home.dest  745 non-null    object \n",
      "dtypes: float64(7), object(7)\n",
      "memory usage: 143.4+ KB\n"
     ]
    }
   ],
   "source": [
    "# Basic information about the dataset\n",
    "\n",
    "print(\"\\nBasic information about the dataset:\\n\")\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Możemy zauważyć iż dane nie są kompletne - mamy duże braki w niektórych kolumnach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random 10 rows of the dataset:\n"
     ]
    },
    {
     "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>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bonnell, Miss. Caroline</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36928</td>\n",
       "      <td>164.8667</td>\n",
       "      <td>C7</td>\n",
       "      <td>S</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Youngstown, OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Karlsson, Mr. Einar Gervasius</td>\n",
       "      <td>male</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>350053</td>\n",
       "      <td>7.7958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Touma, Mrs. Darwis (Hanne Youssef Razi)</td>\n",
       "      <td>female</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2650</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1069</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>O'Brien, Mr. Thomas</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>370365</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>MacKay, Mr. George William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>C.A. 42795</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Waelens, Mr. Achille</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>345767</td>\n",
       "      <td>9.0000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Antwerp, Belgium / Stanton, OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>359309</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Jerwan, Mrs. Amin S (Marie Marthe Thuillard)</td>\n",
       "      <td>female</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>SC/AH Basle 541</td>\n",
       "      <td>13.7917</td>\n",
       "      <td>D</td>\n",
       "      <td>C</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Slayter, Miss. Hilda Mary</td>\n",
       "      <td>female</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>234818</td>\n",
       "      <td>12.3500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Halifax, NS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Williams, Mr. Charles Duane</td>\n",
       "      <td>male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>PC 17597</td>\n",
       "      <td>61.3792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Geneva, Switzerland / Radnor, PA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived                                          name     sex   age  sibsp  parch           ticket      fare cabin embarked boat  body                         home.dest\n",
       "32       1.0       1.0                       Bonnell, Miss. Caroline  female  30.0    0.0    0.0            36928  164.8667    C7        S    8   NaN                    Youngstown, OH\n",
       "913      3.0       1.0                 Karlsson, Mr. Einar Gervasius    male  21.0    0.0    0.0           350053    7.7958   NaN        S   13   NaN                               NaN\n",
       "1258     3.0       1.0       Touma, Mrs. Darwis (Hanne Youssef Razi)  female  29.0    0.0    2.0             2650   15.2458   NaN        C    C   NaN                               NaN\n",
       "1069     3.0       0.0                           O'Brien, Mr. Thomas    male   NaN    1.0    0.0           370365   15.5000   NaN        Q  NaN   NaN                               NaN\n",
       "983      3.0       0.0                    MacKay, Mr. George William    male   NaN    0.0    0.0       C.A. 42795    7.5500   NaN        S  NaN   NaN                               NaN\n",
       "1281     3.0       0.0                          Waelens, Mr. Achille    male  22.0    0.0    0.0           345767    9.0000   NaN        S  NaN   NaN    Antwerp, Belgium / Stanton, OH\n",
       "1282     3.0       0.0                           Ware, Mr. Frederick    male   NaN    0.0    0.0           359309    8.0500   NaN        S  NaN   NaN                               NaN\n",
       "465      2.0       1.0  Jerwan, Mrs. Amin S (Marie Marthe Thuillard)  female  23.0    0.0    0.0  SC/AH Basle 541   13.7917     D        C   11   NaN                      New York, NY\n",
       "562      2.0       1.0                     Slayter, Miss. Hilda Mary  female  30.0    0.0    0.0           234818   12.3500   NaN        Q   13   NaN                       Halifax, NS\n",
       "316      1.0       0.0                   Williams, Mr. Charles Duane    male  51.0    0.0    1.0         PC 17597   61.3792   NaN        C  NaN   NaN  Geneva, Switzerland / Radnor, PA"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying random 10 rows of the dataset\n",
    "\n",
    "print(\"Random 10 rows of the dataset:\")\n",
    "df.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Checking for duplicate rows:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for duplicate rows\n",
    "\n",
    "print(\"\\nChecking for duplicate rows:\")\n",
    "df.duplicated().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Unique values in each column:\n",
      "pclass: 3\n",
      "survived: 2\n",
      "name: 1307\n",
      "sex: 2\n",
      "age: 98\n",
      "sibsp: 7\n",
      "parch: 8\n",
      "ticket: 929\n",
      "fare: 281\n",
      "cabin: 186\n",
      "embarked: 3\n",
      "boat: 27\n",
      "body: 121\n",
      "home.dest: 369\n"
     ]
    }
   ],
   "source": [
    "# Displaying the number of unique values in each column\n",
    "\n",
    "print(\"\\nUnique values in each column:\")\n",
    "for column in df.columns:\n",
    "    print(f\"{column}: {df[column].nunique()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### W naszej próbce danych osób płynących Titaniciem możemy zauważyć, że było 3 klasy biletu. Z ważniejszych informacji możemy również wskazać, że było 27 łodzi ratunkowych i wyłowiono 121 ciał."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Statistical information about the dataset:\n"
     ]
    },
    {
     "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>pclass</th>\n",
       "      <th>survived</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>fare</th>\n",
       "      <th>body</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1309.00</td>\n",
       "      <td>1309.00</td>\n",
       "      <td>1046.00</td>\n",
       "      <td>1309.00</td>\n",
       "      <td>1309.00</td>\n",
       "      <td>1308.00</td>\n",
       "      <td>121.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.29</td>\n",
       "      <td>0.38</td>\n",
       "      <td>29.88</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.39</td>\n",
       "      <td>33.30</td>\n",
       "      <td>160.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.84</td>\n",
       "      <td>0.49</td>\n",
       "      <td>14.41</td>\n",
       "      <td>1.04</td>\n",
       "      <td>0.87</td>\n",
       "      <td>51.76</td>\n",
       "      <td>97.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>7.90</td>\n",
       "      <td>72.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14.45</td>\n",
       "      <td>155.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>39.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>31.28</td>\n",
       "      <td>256.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>80.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>512.33</td>\n",
       "      <td>328.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pclass  survived      age    sibsp    parch     fare    body\n",
       "count  1309.00   1309.00  1046.00  1309.00  1309.00  1308.00  121.00\n",
       "mean      2.29      0.38    29.88     0.50     0.39    33.30  160.81\n",
       "std       0.84      0.49    14.41     1.04     0.87    51.76   97.70\n",
       "min       1.00      0.00     0.17     0.00     0.00     0.00    1.00\n",
       "25%       2.00      0.00    21.00     0.00     0.00     7.90   72.00\n",
       "50%       3.00      0.00    28.00     0.00     0.00    14.45  155.00\n",
       "75%       3.00      1.00    39.00     1.00     0.00    31.28  256.00\n",
       "max       3.00      1.00    80.00     8.00     9.00   512.33  328.00"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying statistical information about the dataset\n",
    "\n",
    "print(\"\\nStatistical information about the dataset:\")\n",
    "df.describe().round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Z ogólnych informacji widać, że najmłodszy pasażer Titanica był noworodkiem (0,17 roku co daje około 2 miesiące) a najstarszy pasażer miał 80 lat (średnia to około 30 lat). Zastanawiające jest też numerowanie ciał - widać, że wyłowiono 121 ciał, ale maksymalny numer na naszej liście to 328."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Analiza brakujących wartości"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of missing values in each column:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "pclass          1\n",
       "survived        1\n",
       "name            1\n",
       "sex             1\n",
       "age           264\n",
       "sibsp           1\n",
       "parch           1\n",
       "ticket          1\n",
       "fare            2\n",
       "cabin        1015\n",
       "embarked        3\n",
       "boat          824\n",
       "body         1189\n",
       "home.dest     565\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the number of missing values in each column\n",
    "\n",
    "print(\"\\nNumber of missing values in each column:\")\n",
    "df.isnull().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of missing values in each column as a percentage of the total number of rows:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "pclass        0.076336\n",
       "survived      0.076336\n",
       "name          0.076336\n",
       "sex           0.076336\n",
       "age          20.152672\n",
       "sibsp         0.076336\n",
       "parch         0.076336\n",
       "ticket        0.076336\n",
       "fare          0.152672\n",
       "cabin        77.480916\n",
       "embarked      0.229008\n",
       "boat         62.900763\n",
       "body         90.763359\n",
       "home.dest    43.129771\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the number of missing values in each column as a percentage of the total number of rows\n",
    "\n",
    "print(\"\\nNumber of missing values in each column as a percentage of the total number of rows:\")\n",
    "df.isnull().sum() / df.shape[0] * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wcześniej zauważyliśmy, że mamy duże braki w niektórych kolumnach, sprawdźmy skąd mogą wynikać. \n",
    "- Kolumna `age`     - 20% brakujących danych - cieżko stwierdzić skąd tutaj braki, ale podejrzewam, że przy zakupie biletów nie rejestrowali kiedyś wieku pasażera. \n",
    "- Kolumna `cabin`   - 77% braków - wydaje się, że po prostu nie wszyscy mieli przypisane swoje kabiny, przypuszczam, że tylko klasa 1 miała swoje prywatne numerowane kabiny\n",
    "- Kolumna `boat`    - 63% pustych wierszy - łatwo stwierdzić, że po prostu nie wszyscy zmieścili się na łodzie ratunkowe - stąd tak duże braki\n",
    "- Kolumna `body`    - 90% braków - po pierwsze ocaleni prawdopodobnie nie zostali ponumerowani (jeszcze sobie zweryfikujemy zaraz) a po drugie nie wszyscy zostali odnalezieni - stąd tak duże braki w tej kolumnie\n",
    "- Kolumna `home.dest`- prawdopodobnie nie wszyscy podróżujący zadeklarowali dokąd się udają"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Survived passengers and check if they are body numbers:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying survived passengers and check if they are body numbers\n",
    "\n",
    "print(\"\\nSurvived passengers and check if they are body numbers:\")\n",
    "df[df['survived'] == 1]['body'].notnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Jak przypuszczaliśmy żaden z ocalałych nie został oznaczony numerem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Rows where all values are missing:\n"
     ]
    },
    {
     "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>pclass</th>\n",
       "      <th>survived</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pclass  survived name  sex  age  sibsp  parch ticket  fare cabin embarked boat  body home.dest\n",
       "1309     NaN       NaN  NaN  NaN  NaN    NaN    NaN    NaN   NaN   NaN      NaN  NaN   NaN       NaN"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show rows where all values are missing\n",
    "\n",
    "print(\"\\nRows where all values are missing:\")\n",
    "df[df.isnull().all(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove rows with all missing values\n",
    "\n",
    "df.dropna(how='all', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pozbyliśmy się jednego całkowicie pustego wiersza"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Analiza pojedynczych zmiennych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of survivors and non-survivors:\n",
      "0.0    809\n",
      "1.0    500\n",
      "Name: survived, dtype: int64\n",
      "\n",
      "Percentage of survivors and non-survivors:\n",
      "0.0    61.802903\n",
      "1.0    38.197097\n",
      "Name: survived, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the number of survivors and non-survivors and show it on a bar chart\n",
    "\n",
    "# Displaying\n",
    "# 1. The number of survivors and non-survivors\n",
    "# 2. The percentage of survivors and non-survivors\n",
    "\n",
    "print(\"\\nNumber of survivors and non-survivors:\")\n",
    "print(df['survived'].value_counts())\n",
    "print(\"\\nPercentage of survivors and non-survivors:\")\n",
    "print(df['survived'].value_counts(normalize=True) * 100)\n",
    "\n",
    "# Generate a bar chart\n",
    "\n",
    "df['survived'].value_counts().plot(kind='bar', color=['red', 'green'])\n",
    "plt.title('Number of survivors and non-survivors')\n",
    "plt.xlabel('Survived')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.xticks([0, 1], ['Non-survivors', 'Survivors'], rotation=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Na oko możemy powiedzieć, że stosunek osób uratowanych do osób, które nie przeżyły katastrofy wynosi 2:3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Histogram of the age column without missing values:\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histogram of the age column withouth missing values and show mean and median\n",
    "\n",
    "print(\"\\nHistogram of the age column without missing values:\")\n",
    "df['age'].dropna().plot(kind='hist', bins=20, color='skyblue')\n",
    "plt.title('Age of passengers')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.axvline(df['age'].mean(), color='red', linestyle='dashed', linewidth=1)\n",
    "plt.axvline(df['age'].median(), color='green', linestyle='dashed', linewidth=1)\n",
    "plt.legend({'Mean':df['age'].mean(),'Median':df['age'].median()})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zaskoczyła mnie bardzo duża ilość małych dzieci !!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of passengers in each class:\n",
      "3.0    709\n",
      "1.0    323\n",
      "2.0    277\n",
      "Name: pclass, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the number of passengers in each class\n",
    "\n",
    "print(\"\\nNumber of passengers in each class:\")\n",
    "print(df['pclass'].value_counts())\n",
    "\n",
    "# Pie chart of the number of passengers in each class\n",
    "\n",
    "df['pclass'].value_counts().plot(kind='pie', autopct='%1.1f%%', colors=['skyblue', 'orange', 'lightgreen'])\n",
    "plt.title('Number of passengers in each class')\n",
    "plt.ylabel('')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ponad połowa pasażerów podróżowała w 3 klasie "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Displaying the number of siblings/spouses on board (SibSp Distribution):\n",
      "0.0    891\n",
      "1.0    319\n",
      "2.0     42\n",
      "4.0     22\n",
      "3.0     20\n",
      "8.0      9\n",
      "5.0      6\n",
      "Name: sibsp, dtype: int64\n",
      "\n",
      "Histogram for the number of siblings/spouses on board:\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the number of siblings/spouses on board\n",
    "\n",
    "print(\"\\nDisplaying the number of siblings/spouses on board (SibSp Distribution):\")\n",
    "print(df['sibsp'].value_counts())\n",
    "\n",
    "# Histogram for the number of siblings/spouses on board\n",
    "\n",
    "print(\"\\nHistogram for the number of siblings/spouses on board:\")\n",
    "df['sibsp'].plot(kind='hist', bins=8, color='skyblue')\n",
    "plt.title('Number of siblings/spouses on board')\n",
    "plt.xlabel('Number of siblings/spouses')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Displaying the number of parents/children on board (Parch Distribution):\n",
      "0.0    1002\n",
      "1.0     170\n",
      "2.0     113\n",
      "3.0       8\n",
      "4.0       6\n",
      "5.0       6\n",
      "6.0       2\n",
      "9.0       2\n",
      "Name: parch, dtype: int64\n",
      "\n",
      "Histogram for the number of parents/children on board:\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the number of parents/children on board\n",
    "\n",
    "print(\"\\nDisplaying the number of parents/children on board (Parch Distribution):\")\n",
    "print(df['parch'].value_counts())\n",
    "\n",
    "# Histogram for the number of parents/children on board\n",
    "\n",
    "print(\"\\nHistogram for the number of parents/children on board:\")\n",
    "df['parch'].plot(kind='hist', bins=8, color='skyblue')\n",
    "plt.title('Number of parents/children on board')\n",
    "plt.xlabel('Number of parents/children')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Spora część osób podróżowała z innym członkiem rodziny"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Cheapest and the most expensive ticket price for each class:\n",
      "           min       max\n",
      "pclass                  \n",
      "1.0     5.0000  512.3292\n",
      "2.0     9.6875   73.5000\n",
      "3.0     3.1708   69.5500\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the cheapest and the most expensive ticket price for each class (without values '0')\n",
    "\n",
    "print(\"\\nCheapest and the most expensive ticket price for each class:\")\n",
    "print(df[df['fare'] > 0].groupby('pclass')['fare'].agg(['min', 'max']))\n",
    "\n",
    "# Bar chart for the average ticket price for each class\n",
    "\n",
    "df.groupby('pclass')['fare'].mean().plot(kind='bar', color='skyblue')\n",
    "plt.title('Average ticket price by passenger class')\n",
    "plt.xlabel('Passenger class')\n",
    "plt.ylabel('Average ticket price')\n",
    "plt.xticks(rotation=0)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Średnia cena biletu dla 2 i 3 klasy aż tak bardzo się nie różniła, za to 1 klasa mocno odbiegała od pozostałych 2 - można powiedzieć, że przepaść"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of passengers by embarkation port\n",
    "embarked_counts = df['embarked'].value_counts()\n",
    "\n",
    "# Plot the distribution\n",
    "embarked_counts.plot(kind='bar', figsize=(8, 6))\n",
    "plt.title('Distribution of Passengers by Embarkation Port')\n",
    "plt.xlabel('Embarkation Port')\n",
    "plt.ylabel('Number of Passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Większość pasażerów na pokładzie Titanica zaokrętowała się w Southampton, który był głównym portem, z którego Titanic wyruszył, co tłumaczy dużą liczbę pasażerów zaokrętowanych właśnie w tym miejscu. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 10 home destinations of the passengers:\n",
      "New York, NY                            64\n",
      "London                                  14\n",
      "Montreal, PQ                            10\n",
      "Paris, France                            9\n",
      "Cornwall / Akron, OH                     9\n",
      "Wiltshire, England Niagara Falls, NY     8\n",
      "Winnipeg, MB                             8\n",
      "Philadelphia, PA                         8\n",
      "Belfast                                  7\n",
      "Sweden Winnipeg, MN                      7\n",
      "Name: home.dest, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Displaying the top 10 home destinations (home.dest) of the passengers\n",
    "\n",
    "print(\"\\nTop 10 home destinations of the passengers:\")\n",
    "print(df['home.dest'].value_counts().head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ciężko jednoznacznie stwierdzić czy ta kolumna wskazuje na cel podróży czy miejsce pochodzenia osób, które wzięły udział w rejsie. Z jednej strony New York wskazuje jakoby było to miejsce przeznaczenia podróżujących (ze względu na kierunek, w którym płynął statek) a z drugiej strony miasta w zestawieniu takie jak London czy Paris wskazują jakoby na pochodzenie podróżujących."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Unique values in the boat column without missing values:\n",
      "['2' '11' '3' '10' 'D' '4' '9' '6' 'B' '8' 'A' '5' '7' 'C' '14' '5 9' '13'\n",
      " '1' '15' '5 7' '8 10' '12' '16' '13 15 B' 'C D' '15 16' '13 15']\n"
     ]
    }
   ],
   "source": [
    "# Displaying unique values in the boat column without missing values\n",
    "\n",
    "print(\"\\nUnique values in the boat column without missing values:\")\n",
    "print(df['boat'].dropna().unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Przypisanie kilku nr łodzi do jednej osoby? Błędy wynikające z chaosu podczas ewakuacji? Ludzie się przesiadali?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar chart for the number of passengers on each boat\n",
    "\n",
    "df['boat'].value_counts().plot(kind='bar', figsize=(12, 6), color='skyblue')\n",
    "plt.title('Number of Passengers on Each Boat')\n",
    "plt.xlabel('Boat')\n",
    "plt.ylabel('Number of Passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Łodzie ratunkowe o numerach 13 oraz C miały najwięcej pasażerów (około 35-40 osób), co może wskazywać na maksymalne wypełnienie tych łodzi. Widać też znaczną różnicę w liczbie pasażerów na różnych łodziach. Niektóre łodzie były wypełnione w mniejszym stopniu (np. łodzie B, 1, czy A), co może być wynikiem paniki podczas ewakuacji lub mniejszej ich pojemności."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Transformacja danych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply one-hot encoding to 'sex' and 'pclass' column\n",
    "\n",
    "df_dummie = pd.get_dummies(df, columns=['sex', 'pclass'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Random 10 rows of the dataset after applying one-hot encoding:\n"
     ]
    },
    {
     "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>survived</th>\n",
       "      <th>name</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",
       "      <th>boat</th>\n",
       "      <th>body</th>\n",
       "      <th>home.dest</th>\n",
       "      <th>sex_female</th>\n",
       "      <th>sex_male</th>\n",
       "      <th>pclass_1.0</th>\n",
       "      <th>pclass_2.0</th>\n",
       "      <th>pclass_3.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1157</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Rosblom, Mr. Viktor Richard</td>\n",
       "      <td>18.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>370129</td>\n",
       "      <td>20.2125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Baclini, Miss. Helene Barbara</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2666</td>\n",
       "      <td>19.2583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Syria New York, NY</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>237736</td>\n",
       "      <td>30.0708</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Asplund, Miss. Lillian Gertrud</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>347077</td>\n",
       "      <td>31.3875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sweden Worcester, MA</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Hart, Miss. Eva Miriam</td>\n",
       "      <td>7.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>F.C.C. 13529</td>\n",
       "      <td>26.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ilford, Essex / Winnipeg, MB</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Strom, Miss. Telma Matilda</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>347054</td>\n",
       "      <td>10.4625</td>\n",
       "      <td>G6</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Staneff, Mr. Ivan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>349208</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1136</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Rasmussen, Mrs. (Lena Jacobsen Solvang)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65305</td>\n",
       "      <td>8.1125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>0.0</td>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>359309</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Carter, Miss. Lucile Polk</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>113760</td>\n",
       "      <td>120.0000</td>\n",
       "      <td>B96 B98</td>\n",
       "      <td>S</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bryn Mawr, PA</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      survived                                     name    age  sibsp  parch        ticket      fare    cabin embarked boat  body                     home.dest  sex_female  sex_male  pclass_1.0  pclass_2.0  pclass_3.0\n",
       "1157       0.0              Rosblom, Mr. Viktor Richard  18.00    1.0    1.0        370129   20.2125      NaN        S  NaN   NaN                           NaN           0         1           0           0           1\n",
       "658        1.0            Baclini, Miss. Helene Barbara   0.75    2.0    1.0          2666   19.2583      NaN        C    C   NaN            Syria New York, NY           1         0           0           0           1\n",
       "513        1.0      Nasser, Mrs. Nicholas (Adele Achem)  14.00    1.0    0.0        237736   30.0708      NaN        C  NaN   NaN                  New York, NY           1         0           0           1           0\n",
       "643        1.0           Asplund, Miss. Lillian Gertrud   5.00    4.0    2.0        347077   31.3875      NaN        S   15   NaN          Sweden Worcester, MA           1         0           0           0           1\n",
       "434        1.0                   Hart, Miss. Eva Miriam   7.00    0.0    2.0  F.C.C. 13529   26.2500      NaN        S   14   NaN  Ilford, Essex / Winnipeg, MB           1         0           0           1           0\n",
       "1230       0.0               Strom, Miss. Telma Matilda   2.00    0.0    1.0        347054   10.4625       G6        S  NaN   NaN                           NaN           1         0           0           0           1\n",
       "1221       0.0                        Staneff, Mr. Ivan    NaN    0.0    0.0        349208    7.8958      NaN        S  NaN   NaN                           NaN           0         1           0           0           1\n",
       "1136       0.0  Rasmussen, Mrs. (Lena Jacobsen Solvang)    NaN    0.0    0.0         65305    8.1125      NaN        S  NaN   NaN                           NaN           1         0           0           0           1\n",
       "1282       0.0                      Ware, Mr. Frederick    NaN    0.0    0.0        359309    8.0500      NaN        S  NaN   NaN                           NaN           0         1           0           0           1\n",
       "55         1.0                Carter, Miss. Lucile Polk  14.00    1.0    2.0        113760  120.0000  B96 B98        S    4   NaN                 Bryn Mawr, PA           1         0           1           0           0"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying the random 10 rows of the dataset after applying one-hot encoding\n",
    "\n",
    "print(\"\\nRandom 10 rows of the dataset after applying one-hot encoding:\")\n",
    "df_dummie.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zrobiliśmy transformację one-hot encoding dla kolumn 'sex' i 'pclass' aby wykorzystać również je do tworzenia później macierzy korelacji na danych numerycznych. Być może uzyskamy z nimi jakieś ciekawe korelacje\n",
    "#### Ze względu na późniejszą macierz korelacji specjalnie zostawiłem wszystkie kolumny (nie zrobiłem drop_first)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Analiza relacji między zmiennymi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Heatmap of the correlation matrix of the numeric columns\n",
    "\n",
    "# Calculate the correlation matrix for the filtered DataFrame\n",
    "correlation_matrix = df_dummie.corr(numeric_only=True)\n",
    "\n",
    "# Plot the correlation matrix as a heatmap\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm')\n",
    "plt.title('Correlation Matrix Heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### WNIOSKI\n",
    "- Korelacja między zmienną survived a sex_female wynosi 0.53, co sugeruje, że kobiety miały większe szanse na przeżycie\n",
    "- Zauważalna jest silna negatywna korelacja między zmienną fare a pclass_3.0 (-0.42) oraz pozytywna korelacja z pclass_1.0 (0.6). Oznacza to, że osoby, które zapłaciły więcej za bilet, częściej podróżowały w pierwszej klasie, a osoby płacące mniej podróżowały w trzeciej klasie. \n",
    "- Istnieje negatywna korelacja między zmienną survived a pclass_3.0 (-0.28), co sugeruje, że osoby podróżujące w trzeciej klasie miały mniejsze szanse na przeżycie.\n",
    "Z kolei pozytywna korelacja z pclass_1.0 (0.28) wskazuje, że osoby z pierwszej klasy miały większe szanse na przeżycie.\n",
    "- Występuje negatywna korelacja między zmienną age a pclass_3.0 (-0.34), co może sugerować, że osoby młodsze częściej podróżowały w trzeciej klasie.\n",
    "- Istnieje dość silna pozytywna korelacja (0.37) między zmiennymi parch (liczba rodziców/dzieci na pokładzie) a sibsp (liczba rodzeństwa/małżonków na pokładzie). To sugeruje, że osoby podróżujące z rodzinami często miały zarówno dzieci, jak i rodzeństwo/małżonków na pokładzie."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the number of survivors and non-survivors in each passenger class\n",
    "\n",
    "df.groupby('pclass')['survived'].value_counts().unstack().plot(kind='bar', stacked=True)\n",
    "plt.title('Number of survivors and non-survivors in each passenger class')\n",
    "plt.xlabel('Passenger class')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.xticks(rotation=0)\n",
    "plt.legend(['Non-survivors', 'Survivors'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tutaj tak jak myślałem - procentowo najwięcej osób przeżyło z 1 klasy a najmniej z 3 (smutne)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Percentage of survivors and non-survivors in each sex group:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "sex     survived\n",
       "female  1.0         72.746781\n",
       "        0.0         27.253219\n",
       "male    0.0         80.901542\n",
       "        1.0         19.098458\n",
       "Name: survived, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Displaying percentage of survivors and non-survivors in each sex group\n",
    "\n",
    "print(\"\\nPercentage of survivors and non-survivors in each sex group:\")\n",
    "df.groupby('sex')['survived'].value_counts(normalize=True) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bar plot for the number of survivors and non-survivors in each sex group\n",
    "\n",
    "df.groupby('sex')['survived'].value_counts().unstack().plot(kind='bar', stacked=True, color=['red', 'green'])\n",
    "plt.title('Number of survivors and non-survivors in each sex group')\n",
    "plt.xlabel('Passenger sex')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.xticks(rotation=0)\n",
    "plt.legend(['Non-survivors', 'Survivors'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zdecydowana większość kobiet przeżyła (około 73%), czego nie można powiedzieć o mężczyznach (tylko około 19%). W sumie na pokładzie było więcej mężczyzn niż kobiet, co jest widoczne na wykresie, gdzie całkowita liczba mężczyzn (sumując czerwony i zielony segment) jest większa niż liczba kobiet. Mężczyźni stanowili większy procent ofiar, co może wynikać z różnych czynników, takich jak miejsce na pokładzie (robotnicy na dolnych pokładach, które szybciej zalała woda) jak również priorytety w ewakuacji - większość kobiet na pokładzie przeżyła, co jest zgodne z zasadą \"kobiety i dzieci najpierw\", która mogła być stosowana podczas ewakuacji."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the number of survivors and non-survivors in each age group\n",
    "\n",
    "age_bins = pd.cut(df['age'], bins=[0, 5, 18, 30, 50, 80])\n",
    "df.groupby(age_bins)['survived'].value_counts().unstack().plot(kind='bar', stacked=True)\n",
    "plt.title('Number of survivors and non-survivors in each age group')\n",
    "plt.xlabel('Age group')\n",
    "plt.ylabel('Number of passengers')\n",
    "plt.xticks(rotation=0)\n",
    "plt.legend(['Non-survivors', 'Survivors'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zasada \"kobiety i dzieci najpierw\", która mogła być stosowana podczas ewakuacji sprawdza się również w przypadku dzieci do lat 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkgAAAHHCAYAAABEEKc/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAACyy0lEQVR4nOzdd3hUVfrA8e9Meu+VFnpCS6ihKQhZgnRsgEgTcXXBhmvB3wqWddFdQVBUFlfFAoIgItIkIorSW+gdQigphJDeZ+7vj8sMjJlJnWRCeD/PM88Md869950Qkpdz3nOORlEUBSGEEEIIYaS1dQBCCCGEEHWNJEhCCCGEEH8iCZIQQgghxJ9IgiSEEEII8SeSIAkhhBBC/IkkSEIIIYQQfyIJkhBCCCHEn0iCJIQQQgjxJ5IgCSGEEEL8iSRIQthIQkICGo2GxYsXG4+99tpraDSaWrl/37596du3r/HPv/76KxqNhpUrV9bK/SdOnEhYWFit3OtWtf05Rd1hq+85cXuSBEnUWx999BEajYbo6Ghbh1Kjrly5wmuvvUZ8fLytQymlLscmhBBlkQRJ1FtLliwhLCyM3bt3c+bMGVuHUyH/+Mc/yM/Pr9Q5V65c4fXXX690ErJp0yY2bdpUqXMqq6zYPvnkE06ePFmj9xdCiKqSBEnUS+fPn2f79u3MnTuXgIAAlixZYuuQKsTe3h5nZ+cavUdeXh4Ajo6OODo61ui9yuLg4ICTk5PN7i9uL3q9noKCAluHIe4gkiCJemnJkiX4+PgwePBgHnjgAYsJ0rVr1xg3bhyenp54e3szYcIEDh48WKo2CODEiRM88MAD+Pr64uzsTJcuXVizZk2F4snIyGDixIl4eXkZ75ORkVGqnbkapLi4OHr37o23tzfu7u60bt2aV155BVDrabp27QrApEmT0Gg0JrH37duXdu3asW/fPu6++25cXV2N5/65BslAp9PxyiuvEBwcjJubG8OGDePixYsmbcLCwpg4cWKpc2+9ZnmxmasHyc3N5fnnn6dRo0Y4OTnRunVr3n33XRRFMWmn0WiYNm0aq1evpl27djg5OdG2bVs2btxYKiZLyvucs2bNwsHBgatXr5Y69/HHH8fb27vMX9gTJ07E3d2dc+fOERsbi5ubG6GhobzxxhulPs+7775Lz5498fPzw8XFhc6dO5utkSrre8Hggw8+oG3btri6uuLj40OXLl1YunSpSZvLly/z6KOPEhQUZPzaffbZZyZtDLVa3377LW+99RYNGzbE2dmZ/v37m+2R/fDDD2nWrBkuLi5069aN33//3ez3WGFhIbNmzaJFixY4OTnRqFEjXnzxRQoLC03aGf6OlyxZQtu2bXFycir373fDhg306dMHDw8PPD096dq1a6nP/me1/bUXtw97WwcgRE1YsmQJ9913H46OjowZM4aPP/6YPXv2GH9hg/o/0qFDh7J7926efPJJwsPD+eGHH5gwYUKp6x09epRevXrRoEEDXn75Zdzc3Pj2228ZMWIE3333HSNHjrQYi6IoDB8+nD/++IMnnniCiIgIvv/+e7P3MXffIUOG0KFDB9544w2cnJw4c+YM27ZtAyAiIoI33niDmTNn8vjjj3PXXXcB0LNnT+M1rl27xr333svo0aN55JFHCAoKKvOeb731FhqNhpdeeonU1FTmzZtHTEwM8fHxuLi4lBuzQUViu5WiKAwbNowtW7YwefJkoqKi+Omnn3jhhRe4fPky7733nkn7P/74g1WrVvG3v/0NDw8P3n//fe6//34SExPx8/MrN77yPue4ceN44403WL58OdOmTTOeV1RUxMqVK7n//vvL7e3T6XQMHDiQ7t278+9//5uNGzcya9YsSkpKeOONN4zt5s+fz7Bhwxg7dixFRUUsW7aMBx98kLVr1zJ48GCg/O8FUIctn376aR544AGeeeYZCgoKOHToELt27eLhhx8GICUlhe7duxsTkICAADZs2MDkyZPJysri2WefNfkMb7/9Nlqtlr///e9kZmby73//m7Fjx7Jr1y5jm48//php06Zx11138dxzz5GQkMCIESPw8fGhYcOGxnZ6vZ5hw4bxxx9/8PjjjxMREcHhw4d57733OHXqFKtXrza59y+//MK3337LtGnT8Pf3L7PAevHixTz66KO0bduWGTNm4O3tzYEDB9i4caPxs5tTm197cZtRhKhn9u7dqwBKXFycoiiKotfrlYYNGyrPPPOMSbvvvvtOAZR58+YZj+l0OqVfv34KoHz++efG4/3791fat2+vFBQUGI/p9XqlZ8+eSsuWLcuMZ/Xq1Qqg/Pvf/zYeKykpUe66665S95k1a5Zy6z/L9957TwGUq1evWrz+nj17Sl3HoE+fPgqgLFy40Ox7ffr0Mf55y5YtCqA0aNBAycrKMh7/9ttvFUCZP3++8ViTJk2UCRMmlHvNsmKbMGGC0qRJE+OfDV+nf/7znybtHnjgAUWj0ShnzpwxHgMUR0dHk2MHDx5UAOWDDz4oda9bVeZz9ujRQ4mOjjY5f9WqVQqgbNmypcz7TJgwQQGUp556ynhMr9crgwcPVhwdHU3+TvPy8kzOLSoqUtq1a6f069fPeKwi3wvDhw9X2rZtW2ZckydPVkJCQpS0tDST46NHj1a8vLyMsRi+ThEREUphYaGx3fz58xVAOXz4sKIoilJYWKj4+fkpXbt2VYqLi43tFi9erAAm3w9fffWVotVqld9//93k3gsXLlQAZdu2bcZjgKLVapWjR4+W+XkURVEyMjIUDw8PJTo6WsnPzzd5T6/XG1//+XtOUWr3ay9uLzLEJuqdJUuWEBQUxD333AOoXfWjRo1i2bJl6HQ6Y7uNGzfi4ODAlClTjMe0Wi1Tp041uV56ejq//PILDz30ENnZ2aSlpZGWlsa1a9eIjY3l9OnTXL582WI869evx97enieffNJ4zM7Ojqeeeqrcz+Lt7Q3ADz/8gF6vr9Dn/zMnJycmTZpU4fbjx4/Hw8PD+OcHHniAkJAQ1q9fX6X7V9T69euxs7Pj6aefNjn+/PPPoygKGzZsMDkeExND8+bNjX/u0KEDnp6enDt3rkL3q8jnHD9+PLt27eLs2bPGY0uWLKFRo0b06dOnQve5tffJ0GtTVFTEzz//bDx+a8/c9evXyczM5K677mL//v3G4xX5XvD29ubSpUvs2bPH7PuKovDdd98xdOhQFEUxfi+npaURGxtLZmamyT1BHR69tVbN0BNo+Drv3buXa9euMWXKFOztbw5KjB07Fh8fH5NrrVixgoiICMLDw03u3a9fPwC2bNli0r5Pnz60adPG7Ge5VVxcHNnZ2bz88sulevXKWzajtr724vYjCZKoV3Q6HcuWLeOee+7h/PnznDlzhjNnzhAdHU1KSgqbN282tr1w4QIhISG4urqaXKNFixYmfz5z5gyKovDqq68SEBBg8pg1axYAqampFmMy3Mfd3d3keOvWrcv9PKNGjaJXr1489thjBAUFMXr0aL799ttKJUsNGjSoVDF2y5YtTf6s0Who0aIFCQkJFb5GVVy4cIHQ0FCTpAXUoTrD+7dq3LhxqWv4+Phw/fr1Ct2vIp9z1KhRODk5GWvYMjMzWbt2LWPHjq3QelVarZZmzZqZHGvVqhWAyX3Wrl1L9+7dcXZ2xtfXl4CAAD7++GMyMzNNYinve+Gll17C3d2dbt260bJlS6ZOnWoyDHT16lUyMjJYtGhRqe9lQxL95+/lP3+dDUmP4ets+Hv5878be3v7UkNip0+f5ujRo6Xubfia/PneTZs2/fOX1CxDAtuuXbsKtb9VbX3txe1HapBEvfLLL7+QlJTEsmXLWLZsWan3lyxZwoABAyp1TcMPwb///e/ExsaabfPnXw7W4uLiwtatW9myZQvr1q1j48aNLF++nH79+rFp0ybs7OwqdA1rs5Qc6HS6CsVkDZbuo/ypALo6fHx8GDJkCEuWLGHmzJmsXLmSwsJCHnnkEavd4/fff2fYsGHcfffdfPTRR4SEhODg4MDnn39uUuBbke+FiIgITp48ydq1a9m4cSPfffcdH330ETNnzuT11183fi8/8sgjFmvgOnToYPJna36d9Xo97du3Z+7cuWbfb9Sokcmfa+J791a1+bUXtx9JkES9smTJEgIDA/nwww9Lvbdq1Sq+//57Fi5ciIuLC02aNGHLli3k5eWZ9CL9eYaOoQfAwcGBmJiYSsfUpEkTNm/eTE5OjkkvUkXXANJqtfTv35/+/fszd+5c/vWvf/F///d/bNmyhZiYGKuvvH369GmTPyuKwpkzZ0x+cfr4+JidhXfhwgWTHpPKxNakSRN+/vlnsrOzTXqRTpw4YXzfmiryOUEdZhs+fDh79uxhyZIldOzYkbZt21boHnq9nnPnzhl7SABOnToFYOxd+e6773B2duann34yWfbg888/L3W98r4XANzc3Bg1ahSjRo2iqKiI++67j7feeosZM2YQEBCAh4cHOp2uSt/L5hj+Xs6cOWMc1gYoKSkhISHB5OvZvHlzDh48SP/+/a36fWsYaj1y5Eil/rNSm1/7ml6+Q1ifDLGJeiM/P59Vq1YxZMgQHnjggVKPadOmkZ2dbZyaHxsbS3FxMZ988onxGnq9vlRyFRgYSN++ffnvf/9LUlJSqfuamwZ+q0GDBlFSUsLHH39sPKbT6fjggw/K/Uzp6emljkVFRQEYp0W7ubkBmE1YquLLL78kOzvb+OeVK1eSlJTEvffeazzWvHlzdu7cSVFRkfHY2rVrSy0HUJnYBg0ahE6nY8GCBSbH33vvPTQajcn9raEinxPg3nvvxd/fn3feeYfffvut0r1Ht34eRVFYsGABDg4O9O/fH1B7aDQajUl9XEJCQqkZXRX5Xrh27ZrJ+46OjrRp0wZFUSguLsbOzo7777+f7777jiNHjpS6Xnnfy+Z06dIFPz8/PvnkE0pKSozHlyxZUmq486GHHuLy5csm/+YM8vPzyc3NrfT9AQYMGICHhwezZ88utfRCWT1dtfm1F7cf6UES9caaNWvIzs5m2LBhZt/v3r27cdHIUaNGMWLECLp168bzzz/PmTNnCA8PZ82aNcYfhrf+D/fDDz+kd+/etG/fnilTptCsWTNSUlLYsWMHly5d4uDBgxbjGjp0KL169eLll18mISGBNm3asGrVKpMaB0veeOMNtm7dyuDBg2nSpAmpqal89NFHNGzYkN69ewNqsuLt7c3ChQvx8PDAzc2N6OjoCtdv/Jmvry+9e/dm0qRJpKSkMG/ePFq0aGFSzP7YY4+xcuVKBg4cyEMPPcTZs2f5+uuvTYqmKxvb0KFDueeee/i///s/EhISiIyMZNOmTfzwww88++yzpa5dXRX5nKD2HI4ePZoFCxZgZ2fHmDFjKnwPZ2dnNm7cyIQJE4iOjmbDhg2sW7eOV155hYCAAAAGDx7M3LlzGThwIA8//DCpqal8+OGHtGjRgkOHDhmvVZHvhQEDBhAcHEyvXr0ICgri+PHjLFiwgMGDBxt75d5++222bNlCdHQ0U6ZMoU2bNqSnp7N//35+/vlns8lAWRwdHXnttdd46qmn6NevHw899BAJCQksXryY5s2bm/w7GjduHN9++y1PPPEEW7ZsoVevXuh0Ok6cOMG3337LTz/9RJcuXSp1fwBPT0/ee+89HnvsMbp27crDDz+Mj48PBw8eJC8vjy+++MLsebX9tRe3GdtMnhPC+oYOHao4Ozsrubm5FttMnDhRcXBwME5xvnr1qvLwww8rHh4eipeXlzJx4kRl27ZtCqAsW7bM5NyzZ88q48ePV4KDgxUHBwelQYMGypAhQ5SVK1eWG9u1a9eUcePGKZ6enoqXl5cybtw45cCBA+VO89+8ebMyfPhwJTQ0VHF0dFRCQ0OVMWPGKKdOnTK5/g8//KC0adNGsbe3N7lmnz59LE49tjTN/5tvvlFmzJihBAYGKi4uLsrgwYOVCxculDp/zpw5SoMGDRQnJyelV69eyt69e0tds6zYzE25zs7OVp577jklNDRUcXBwUFq2bKn85z//MZmqrSjqFPCpU6eWisnS8gO3quznVBRF2b17twIoAwYMKPPat5owYYLi5uamnD17VhkwYIDi6uqqBAUFKbNmzVJ0Op1J208//VRp2bKl4uTkpISHhyuff/55lb4X/vvf/yp333234ufnpzg5OSnNmzdXXnjhBSUzM9PkfikpKcrUqVOVRo0aKQ4ODkpwcLDSv39/ZdGiRaW+TitWrDA59/z582aXbnj//feVJk2aKE5OTkq3bt2Ubdu2KZ07d1YGDhxo0q6oqEh55513lLZt2ypOTk6Kj4+P0rlzZ+X11183idPS33FZ1qxZo/Ts2VNxcXFRPD09lW7duinffPON8X1z33O1/bUXtw+NolixolGIemD16tWMHDmSP/74g169etk6HFEHHDx4kKioKL788kvGjRtXoXMmTpzIypUrycnJqeHo6ia9Xk9AQAD33Xef2SE1Ieo6qUESd7Q/bwxrqA3y9PSkU6dONopK1DWffPIJ7u7u3HfffbYOpU4qKCgoVevz5Zdfkp6ebnY7GyFuB1KDJO5oTz31FPn5+fTo0YPCwkJWrVrF9u3b+de//lXjU4xF3ffjjz9y7NgxFi1axLRp04xF58LUzp07ee6553jwwQfx8/Nj//79fPrpp7Rr144HH3zQ1uEJUSWSIIk7Wr9+/ZgzZw5r166loKCAFi1a8MEHH5isfizuXE899RQpKSkMGjRI1rIpQ1hYGI0aNeL9998nPT0dX19fxo8fz9tvv12pRUqFqEukBkkIIYQQ4k+kBkkIIYQQ4k8kQRJCCCGE+BOpQaoivV7PlStX8PDwsPpWD0IIIYSoGYqikJ2dTWhoKFqt5X4iSZCq6MqVK6U2VhRCCCHE7eHixYs0bNjQ4vuSIFWRYen4ixcv4unpaeNohBBCCFERWVlZNGrUqNwtYCRBqiLDsJqnp6ckSEIIIcRtprzyGCnSFkIIIYT4E0mQhBBCCCH+RBIkIYQQQog/kRokIYQQohw6nY7i4mJbhyEqwMHBATs7u2pfRxIkIYQQwgJFUUhOTiYjI8PWoYhK8Pb2Jjg4uFrrFEqCJIQQQlhgSI4CAwNxdXWVhYHrOEVRyMvLIzU1FYCQkJAqX0sSJCGEEMIMnU5nTI78/PxsHY6oIBcXFwBSU1MJDAys8nCbFGkLIYQQZhhqjlxdXW0ciagsw99ZderGJEESQgghyiDDarcfa/ydSYIkhBBCCPEnkiAJIYQQokb07duXZ5991tZhVIkkSEIIIUQ9s3XrVoYOHUpoaCgajYbVq1dX6Lxff/2VTp064eTkRIsWLVi8eHGNxlmXSYIkhKi2vOI8MgszbR2GEOKG3NxcIiMj+fDDDyt8zvnz5xk8eDD33HMP8fHxPPvsszz22GP89NNPNRhp3SUJkhCiWr44+gV3LbuL3st68/ff/k5BSYGtQxLijnfvvffyz3/+k5EjR1b4nIULF9K0aVPmzJlDREQE06ZN44EHHuC9994r87xt27bRt29fXF1d8fHxITY2luvXr5tt+9VXX9GlSxc8PDwIDg7m4YcfNq5ZBHD9+nXGjh1LQEAALi4utGzZks8//xyAoqIipk2bRkhICM7OzjRp0oTZs2dX+PNVVp1IkD788EPCwsJwdnYmOjqa3bt3l9l+xYoVhIeH4+zsTPv27Vm/fr3Ftk888QQajYZ58+aZHE9PT2fs2LF4enri7e3N5MmTycnJscbHEeKO8d2p73h377sU6YsA+CnhJ17c+iKKotg4MiFqhqIo5BWV1PqjNv5N7dixg5iYGJNjsbGx7Nixw+I58fHx9O/fnzZt2rBjxw7++OMPhg4dik6nM9u+uLiYN998k4MHD7J69WoSEhKYOHGi8f1XX32VY8eOsWHDBo4fP87HH3+Mv78/AO+//z5r1qzh22+/5eTJkyxZsoSwsLBqf25LbL5Q5PLly5k+fToLFy4kOjqaefPmERsby8mTJwkMDCzVfvv27YwZM4bZs2czZMgQli5dyogRI9i/fz/t2rUzafv999+zc+dOQkNDS11n7NixJCUlERcXR3FxMZMmTeLxxx9n6dKlNfZZhahPMgoymLtvLgB/7fBXokOieSLuCbZc3MKG8xsY1GyQjSMUwvryi3W0mVn7Q07H3ojF1bFmf2UnJycTFBRkciwoKIisrCzy8/ONCzDe6t///jddunTho48+Mh5r27atxXs8+uijxtfNmjXj/fffp2vXruTk5ODu7k5iYiIdO3akS5cuACYJUGJiIi1btqR3795oNBqaNGlS1Y9aITbvQZo7dy5Tpkxh0qRJtGnThoULF+Lq6spnn31mtv38+fMZOHAgL7zwAhEREbz55pt06tSJBQsWmLS7fPkyTz31FEuWLMHBwcHkvePHj7Nx40b+97//ER0dTe/evfnggw9YtmwZV65cqbHPKkR9svzkcrKKsmjp05InIp+ga3BXpnSYAsD8/fMp0ZfYOEIhRE0z9CBV1L59+xg6dCiNGzfGw8ODPn36AGryA/Dkk0+ybNkyoqKiePHFF9m+fbvx3IkTJxIfH0/r1q15+umn2bRpk3U/zJ/YtAepqKiIffv2MWPGDOMxrVZLTEyMxS69HTt2MH36dJNjsbGxJhX6er2ecePG8cILL5jNZHfs2IG3t7cxQwWIiYlBq9Wya9cus2O2hYWFFBYWGv+clZVV4c8pRH2j0+tYeXolAJPaTsJeq/4omdh2It+c+IYruVfYlLBJepFEvePiYMexN2Jtct+aFhwcTEpKismxlJQUPD09zfYeARaPm5Obm0tsbCyxsbEsWbKEgIAAEhMTiY2NpahIHaa/9957uXDhAuvXrycuLo7+/fszdepU3n33XTp16sT58+fZsGEDP//8Mw899BAxMTGsXLmy6h+6DDbtQUpLS0On05nt0ktOTjZ7jqUuwFvbv/POO9jb2/P0009bvMafh+/s7e3x9fW1eN/Zs2fj5eVlfDRq1KjczydEfbU3ZS/Jucl4OXkxIGyA8bizvTOjw0cDsOLUCluFJ0SN0Wg0uDra1/qjNlbz7tGjB5s3bzY5FhcXR48ePSye06FDh1LnWHLixAmuXbvG22+/zV133UV4eLhJgbZBQEAAEyZM4Ouvv2bevHksWrTI+J6npyejRo3ik08+Yfny5Xz33Xekp6dX8BNWjs2H2Kxt3759zJ8/n8WLF1v1G2rGjBlkZmYaHxcvXrTatYW43Wy5uAWAfo364WTnZPLeyBYj0aBhb8peknKSbBGeEHe8nJwc4uPjiY+PB9Qp/PHx8cahLFB/r40fP9745yeeeIJz587x4osvcuLECT766CO+/fZbnnvuOYv3mTFjBnv27OFvf/sbhw4d4sSJE3z88cekpaWVatu4cWMcHR354IMPOHfuHGvWrOHNN980aTNz5kx++OEHzpw5w9GjR1m7di0RERGAWpLzzTffcOLECU6dOsWKFSsIDg7G29u7Gl8py2yaIPn7+2NnZ2e2Sy84ONjsOZa6AA3tf//9d1JTU2ncuDH29vbY29tz4cIFnn/+eWOxV3BwcKmstaSkhPT0dIv3dXJywtPT0+QhxJ1IURS2JKoJ0j2N7in1frBbMF2C1eHrdefX1WpsQgjV3r176dixIx07dgRg+vTpdOzYkZkzZxrbJCUlmSRMTZs2Zd26dcTFxREZGcmcOXP43//+R2ys5SHFVq1asWnTJg4ePEi3bt3o0aMHP/zwA/b2pSt4AgICWLx4MStWrKBNmza8/fbbvPvuuyZtHB0dmTFjBh06dODuu+/Gzs6OZcuWAeDh4WEsCu/atSsJCQmsX78erbZmUhmNYuP5uNHR0XTr1o0PPvgAUOuHGjduzLRp03j55ZdLtR81ahR5eXn8+OOPxmM9e/akQ4cOLFy4kGvXrpGUZPq/1tjYWMaNG8ekSZNo3bo1x48fp02bNuzdu5fOnTsDsGnTJgYOHMilS5fMznr7s6ysLLy8vMjMzJRkSdxRErMSGfz9YBy0Dmwbsw0X+9I1CKtOr2LW9lm08G7B98O/t0GUQlRfQUEB58+fp2nTpjg7O9s6HFEJZf3dVfT3t82n+U+fPp0JEybQpUsXunXrxrx588jNzWXSpEkAjB8/ngYNGhgXg3rmmWfo06cPc+bMYfDgwSxbtoy9e/caxyj9/Pzw8/MzuYeDgwPBwcG0bt0agIiICAYOHMiUKVNYuHAhxcXFTJs2jdGjR1coORLiTrYvZR8A7fzbmU2OAPo37s8bO97gTMYZLudcpoF7g9oMUQghqs3mNUijRo3i3XffZebMmURFRREfH8/GjRuNhdiJiYkmPUI9e/Zk6dKlLFq0iMjISFauXMnq1atLrYFUniVLlhAeHk7//v0ZNGgQvXv3NikEE0KYtz91PwCdAjtZbOPl5EVkQCQAv1/6vVbiEkIIa7L5ENvtSobYxJ1qyPdDuJB1gQ/7f8jdDe+22O7Tw58yb/887mpwFx/FfGSxnRB1lQyx3b6sMcRm8x4kIcTtIy0/jQtZF9CgISowqsy2dzW8C4DdybtlfzYhxG1HEiQhRIUdvHoQgBY+LfB0LLvntKV3S4JcgyjUFXIg9UBthCeEEFYjCZIQosJOpp8EoI1vm3LbajQaugZ3BdSFJYUQ4nYiCZIQosIMCVJr39YVat8lSF0PaW+yJEhCiNuLJEhCiAo7eV1NkMJ9wyvUvnOQus7Y4bTDUockhLitSIIkhKiQ7KJsLudcBqCVT6sKndPEswn+Lv4U64s5nHa4JsMTQgirkgRJCFEhp66fAiDELQQvJ68KnaPRaG4Os0kdkhB3nLCwMObNm2frMKpEEiQhRIWcSD8BQGufitUfGRgSpH3J+6wekxDCvNmzZ9O1a1c8PDwIDAxkxIgRnDx5stzzVqxYQXh4OM7OzrRv357169fXQrR1kyRIQogKOZNxBoCWPi0rdV6nIHXF7UNph9DpdVaPSwhR2m+//cbUqVPZuXMncXFxFBcXM2DAAHJzcy2es337dsaMGcPkyZM5cOAAI0aMYMSIERw5cqQWI687JEESQlTI+czzADT1alqp85p5NcPNwY38knxjkiWEqFkbN25k4sSJtG3blsjISBYvXkxiYiL79lnuyZ0/fz4DBw7khRdeICIigjfffJNOnTqxYMGCMu/1448/0rVrV5ydnfH392fkyJEW286dO5f27dvj5uZGo0aN+Nvf/kZOTo7x/QsXLjB06FB8fHxwc3Ojbdu2xl6s69evM3bsWAICAnBxcaFly5Z8/vnnlfzKVJzNN6sVQtweEjITgMonSHZaO9r5tWNX8i4Opx2u8BIBQtRJigLFebV/XwdX0GiqfHpmZiYAvr6+Ftvs2LGD6dOnmxyLjY1l9erVFs9Zt24dI0eO5P/+7//48ssvKSoqKnNYTqvV8v7779O0aVPOnTvH3/72N1588UU++kjdjmjq1KkUFRWxdetW3NzcOHbsGO7u7gC8+uqrHDt2jA0bNuDv78+ZM2fIz8+v6Jeg0iRBEkKUK7som2sF1wAI8wyr9PntA9obE6QHWj1g5eiEqEXFefCv0Nq/7ytXwNGtSqfq9XqeffZZevXqVebG7snJycaN4g2CgoJITk62eM5bb73F6NGjef31143HIiMjLbZ/9tlnja/DwsL45z//yRNPPGFMkBITE7n//vtp3749AM2aNTO2T0xMpGPHjnTp0sV4fk2SITYhRLkMvUf+Lv64O7pX+vz2/uoPu0NXD1kzLCFEBUydOpUjR46wbNkyq187Pj6e/v37V7j9zz//TP/+/WnQoAEeHh6MGzeOa9eukZen9so9/fTT/POf/6RXr17MmjWLQ4du/sx48sknWbZsGVFRUbz44ots377d6p/nVtKDJIQoV0JWAlC13iOADgEdADibcZacopwqJVlC1AkOrmpvji3uWwXTpk1j7dq1bN26lYYNG5bZNjg4mJSUFJNjKSkpBAcHWzzHxcWlwrEkJCQwZMgQnnzySd566y18fX35448/mDx5MkVFRbi6uvLYY48RGxvLunXr2LRpE7Nnz2bOnDk89dRT3HvvvVy4cIH169cTFxdH//79mTp1Ku+++26FY6gM6UESQpTLUKAd5hVWpfP9XfwJcQtBQeHotaNWjEyIWqbRqENdtf2oZP2RoihMmzaN77//nl9++YWmTcuvHezRowebN282ORYXF0ePHj0sntOhQ4dS51iyb98+9Ho9c+bMoXv37rRq1YorV0onm40aNeKJJ55g1apVPP/883zyySfG9wICApgwYQJff/018+bNY9GiRRW6d1VID5IQolzV7UECdZgtKTeJw2mHiQ6Jtk5gQgizpk6dytKlS/nhhx/w8PAw1hF5eXkZe33Gjx9PgwYNmD17NgDPPPMMffr0Yc6cOQwePJhly5axd+/eMpOQWbNm0b9/f5o3b87o0aMpKSlh/fr1vPTSS6XatmjRguLiYj744AOGDh3Ktm3bWLhwoUmbZ599lnvvvZdWrVpx/fp1tmzZQkREBAAzZ86kc+fOtG3blsLCQtauXWt8ryZID5IQolwXsi4A1UuQ2vmrxaHHrh2zRkhCiDJ8/PHHZGZm0rdvX0JCQoyP5cuXG9skJiaSlJRk/HPPnj1ZunQpixYtIjIykpUrV7J69eoyC7v79u3LihUrWLNmDVFRUfTr14/du3ebbRsZGcncuXN55513aNeuHUuWLDEmZwY6nY6pU6cSERHBwIEDadWqlbGA29HRkRkzZtChQwfuvvtu7OzsaqSuykCjKIpSY1evx7KysvDy8iIzMxNPT09bhyNEjVEUhe5Lu5NXkscPw3+gmXez8k8yY2fSTqZsmkJD94ZsuH+DlaMUwvoKCgo4f/48TZs2xdnZ2dbhiEoo6++uor+/pQdJCFGmjMIM8krUGSah7lWf3hzhq3aFX8q5RGZhplViE0KImiIJkhCiTJdzLgMQ4BKAs33V/xft5eRFA/cGAJxML39PKCGEsCVJkIQQZbqUfQmAhh5lTxGuCEMv0vH049W+lhBC1CRJkIQQZbqUoyZIht6f6ojwkwRJCHF7kARJCFEmwxCbNRKkcN9wAI5fkwRJCFG3SYIkhCiTNYfY2vi1AdSFJ/NsseGnEEJUkCRIQogyWbMHyd/FnwCXABQUTl0/Ve3rCSFETZEESQhhkU6vIylHXUiuoXv1e5BA6pCEELcHSZCEEBZdzb9KiVKCvcaeQNdAq1zTOJNN6pCEEHWYJEhCCIuSc9X9mwJdA7HT2lnlmq19WwPIEJsQd4CwsDDmzZtn6zCqRBIkIYRFhgQp2C3Yatds5dMKgDMZZ9DpdVa7rhDipo8//pgOHTrg6emJp6cnPXr0YMOG8rf4WbFiBeHh4Tg7O9O+fXvWr19fC9HWTZIgCSEsMiRIQW5BVrtmQ/eGuNi7UKgr5GL2RatdVwhxU8OGDXn77bfZt28fe/fupV+/fgwfPpyjR49aPGf79u2MGTOGyZMnc+DAAUaMGMGIESM4cuRILUZed9SJBOnDDz8kLCwMZ2dnoqOjLe4EbFBehvvaa68RHh6Om5sbPj4+xMTEsGvXLpM2YWFhaDQak8fbb79t9c8mxO0sOc/6PUh2WjuaezUHZJhNiJoydOhQBg0aRMuWLWnVqhVvvfUW7u7u7Ny50+I58+fPZ+DAgbzwwgtERETw5ptv0qlTJxYsWFDmvX788Ue6du2Ks7Mz/v7+jBw50mLbuXPn0r59e9zc3GjUqBF/+9vfyMnJMb5/4cIFhg4dio+PD25ubrRt29b4O/769euMHTuWgIAAXFxcaNmyJZ9//nklvzIVZ/MEafny5UyfPp1Zs2axf/9+IiMjiY2NJTU11Wz7imS4rVq1YsGCBRw+fJg//viDsLAwBgwYwNWrV02u9cYbb5CUlGR8PPXUUzX6WYW43RiH2FytlyABtPJVh9kkQRK3G0VRyCvOq/WHoihVjlmn07Fs2TJyc3Pp0aOHxXY7duwgJibG5FhsbCw7duyweM66desYOXIkgwYN4sCBA2zevJlu3bpZbK/Vann//fc5evQoX3zxBb/88gsvvvii8f2pU6dSWFjI1q1bOXz4MO+88w7u7u4AvPrqqxw7dowNGzZw/PhxPv74Y/z9/Sv6Zag0+xq7cgXNnTuXKVOmMGnSJAAWLlzIunXr+Oyzz3j55ZdLtb81wwV48803iYuLY8GCBSxcuBCAhx9+uNQ9Pv30Uw4dOkT//v2Nxz08PAgOtu4PfiHqk5qoQYKbdUiSIInbTX5JPtFLo2v9vrse3oWrg2ulzjl8+DA9evSgoKAAd3d3vv/+e9q0aWOxfXJyMkFBpsPpQUFBJCcnWzznrbfeYvTo0bz++uvGY5GRkRbbP/vss8bXYWFh/POf/+SJJ57go48+AiAxMZH777+f9u3bA9CsWTNj+8TERDp27EiXLl2M59ckm/YgFRUVsW/fPpOMVavVEhMTYzFjrWyGW1RUxKJFi/Dy8ir1l/b222/j5+dHx44d+c9//kNJSUk1P5EQ9UtNJUgtvVsCcPr6aateVwhxU+vWrYmPj2fXrl08+eSTTJgwgWPHjln1HvHx8SYdD+X5+eef6d+/Pw0aNMDDw4Nx48Zx7do18vLUlfWffvpp/vnPf9KrVy9mzZrFoUOHjOc++eSTLFu2jKioKF588UW2b99u1c/yZzbtQUpLS0On05nNWE+cOGH2nIpmuGvXrmX06NHk5eUREhJCXFycSVfc008/TadOnfD19WX79u3MmDGDpKQk5s6da/a+hYWFFBYWGv+clZVVqc8qxO2mSFfEtYJrQA0kSDp1uOBSziVyd36EW+dHwcHZqvcQoia42Luw6+Fd5TesgftWlqOjIy1atACgc+fO7Nmzh/nz5/Pf//7XbPvg4GBSUlJMjqWkpJQ50uLiUvG4EhISGDJkCE8++SRvvfUWvr6+/PHHH0yePJmioiJcXV157LHHiI2NZd26dWzatInZs2czZ84cnnrqKe69914uXLjA+vXriYuLo3///kydOpV33323wjFUhs1rkGrKPffcQ3x8PNu3b2fgwIE89NBDJnVN06dPp2/fvnTo0IEnnniCOXPm8MEHH5gkQbeaPXs2Xl5exkejRo1q66MIYRMpeeoPSic7J3ycfKx34b2f4fPZIAJv9Nie3jILFvWBDJnRJuo+jUaDq4NrrT80Gk21Y9fr9RZ/xwH06NGDzZs3mxyLi4srs26pQ4cOpc6xZN++fej1eubMmUP37t1p1aoVV65cKdWuUaNGPPHEE6xatYrnn3+eTz75xPheQEAAEyZM4Ouvv2bevHksWrSoQveuCpsmSP7+/tjZ2VUqY61ohuvm5kaLFi3o3r07n376Kfb29nz66acWY4mOjqakpISEhASz78+YMYPMzEzj4+JF+WEu6jfjFH/XIKv8cAbg6Pew9jnQl9DSwQuAUx5+cPUEfDkcCqRnVghrmDFjBlu3biUhIYHDhw8zY8YMfv31V8aOHWtsM378eGbMmGH88zPPPMPGjRuZM2cOJ06c4LXXXmPv3r1MmzbN4n1mzZrFN998w6xZszh+/LixsNqcFi1aUFxczAcffMC5c+f46quvjLXDBs8++yw//fQT58+fZ//+/WzZsoWICHX1/ZkzZ/LDDz9w5swZjh49ytq1a43v1QSbJkiOjo507tzZJPvU6/Vs3rzZYsZalQzXcN2yMuf4+Hi0Wi2Bgea3U3BycjIuuGV4CFGfWb3+KDsFfnxWfR39JK3aPAjA6Q73gWdDSD8LG16yzr2EuMOlpqYyfvx4WrduTf/+/dmzZw8//fQTf/nLX4xtEhMTSUpKMv65Z8+eLF26lEWLFhEZGcnKlStZvXo17dq1s3ifvn37smLFCtasWUNUVBT9+vWzuFRPZGQkc+fO5Z133qFdu3YsWbKE2bNnm7TR6XRMnTqViIgIBg4cSKtWrYwF3I6OjsyYMYMOHTpw9913Y2dnx7Jly6rzZSqbYmPLli1TnJyclMWLFyvHjh1THn/8ccXb21tJTk5WFEVRxo0bp7z88svG9tu2bVPs7e2Vd999Vzl+/Lgya9YsxcHBQTl8+LCiKIqSk5OjzJgxQ9mxY4eSkJCg7N27V5k0aZLi5OSkHDlyRFEURdm+fbvy3nvvKfHx8crZs2eVr7/+WgkICFDGjx9f4bgzMzMVQMnMzLTiV0OIuuOTQ58o7Ra3U175/RXrXHDFo4oyy1NRPu6tKCVFypoza5R2i9sp49ePV5QLOxVllpf6/sW91rmfENWUn5+vHDt2TMnPz7d1KKKSyvq7q+jvb5tP8x81ahRXr15l5syZJCcnExUVxcaNG42F2ImJiWi1Nzu6DBnuP/7xD1555RVatmxpkuHa2dlx4sQJvvjiC9LS0vDz86Nr1678/vvvtG3bFlB7g5YtW8Zrr71GYWEhTZs25bnnnmP69Om1/wUQoo66dYit2q6ehCPfqa+HfQB2Dsap/qevn0Zp1A1N1MMQvwQ2/R9M2gDWGtYTQogqsHmCBDBt2jSLY5y//vprqWMPPvggDz74oNn2zs7OrFq1qsz7derUqczVRIUQVh5i+30OoED4EAiNAqCZVzPsNfZkF2eTnJtMSL9/qElU4g5I3AlNyh42F0KImlRvZ7EJIaonNU+d9VntHqTsFDi8Un1999+Nhx3sHAjzCgPgdMZp8AyFDqPUN3d+VL17CiFENUmCJIQw62q+ujVPgGtA9S50cCkoOmjYDUI7mrxVakXt7k+qzyfWyrR/IYRNSYIkhCilRF/CtXx1kchAV/MzOytEUWD/V+rrTuNLvd3SR11R25ggBUZA2F2g6OHQ8qrfVwgrUqqxD5qwDWv8nUmCJIQoJb0gHQUFrUZbvUUiL+1Vp+87ukPb0jt8t/BWV/k9m3H25sHI0erzoeVqgiWEjTg4OAAYt8EQtw/D35nh77Aq6kSRthCibjEMr/k5+2Gntav6hY7/oD63GghO7qXebu7dHIDzmecp0Zdgr7WHiGGw7nlIOwVXDkCDTlW/vxDVYGdnh7e3t3EXBldX66xoLWqOoijk5eWRmpqKt7c3dnZV//klCZIQopSreVaoP1IUOHYjQWozzGyTBu4NcLZzpkBXwKXsS2rRtrMntL5XXXX72A+SIAmbMuzScOtWVaLu8/b2LnMPuYqQBEkIUYqxQNulGglS0kHISAQHV2jxF7NNtBotTb2acjz9OGczzhpntRE+RE2QTm6Av7xe9RiEqCaNRkNISAiBgYEUFxfbOhxRAQ4ODtXqOTKQBEkIUUpaXhoA/i7+Vb/I6Tj1uXk/cHS12KyFdwuOpx/nTMYZ+jfpf+NgDGjtIe0kXDsLfs2rHocQVmBnZ2eVX7ri9iFF2kKIUlLz1eGEas1gO3tjz8QW/ctsZqhDMinUdvGGJr3U1yc3VD0GIYSoIkmQhBClVLsHqSALLt7YsLJ5vzKbGmaynck8Y/pG+GD1+eT6qsUghBDVIAmSEKKUatcgJfyuLg7p2xx8wspsauhBSshMoERfcvONVgPV58QdUJBZtTiEEKKKJEESQpRimMVW5SG2MxUbXgMIdQ/Fxd6FYn0xF7NvWT3bp4maYCl6SNhWtTiEEKKKJEESQpjQ6XVcK1BX0a7yENu5LepzOcNrcHMmG/ypDgmgWR/1+fxvVYtDCCGqSBIkIYSJ64XX0Sk6NGjwc/Gr/AWykiD9HGi0Nwuty2GsQ8r4Ux1S0xsJ0jlJkIQQtUsSJCGECcPwmq+zr7qydWUl7lCfg9qpiz5WgNmZbABN7wY0cPU4ZCdXPhYhhKgiSZCEECaMBdpVXUU7caf63LhHhU+x2IPk6gshHdTX57dWLR4hhKgCSZCEECbS8tUp/lWewWboQWpS8QTJOJMt608z2eDmMFvC71WLRwghqkASJCGEidQ8dZHIKvUgFWRByhH1daPuFT4txC0EF3sXSvQlJGYnmr5p6IlK3FX5eIQQoookQRJCmDD0IFVpBtul3eq0fJ8w8Ayp8GlajZbmXhbqkBpF3wjsJOSlVz4mIYSoAkmQhBAmjGsguVRhDSRDL08leo8Mmnk3A8zUIbn5gV9L9bVhdW4hhKhhkiAJIUwYirT9XavQg3TlgPrcsEulTzUUapfqQYKbvUgXZZhNCFE7JEESQpio8jYjinIzQQrtVOn7WpzqD9BYEiQhRO2SBEkIYaQoCun5ap1PpReJzLwEeWmgtYegtpW+t6EHKSErgWJ9sembhiG7y/ugpKjS1xZCiMqSBEkIYZRbnEuRXk1AfJ19K3eyofcosA04OFf63iFuIbjau1KiL+Fi1kXTN/1bgosvlBRA8qFKX1sIISpLEiQhhJFhDzZXe1dc7F0qd7JxeK1jle6t0WiMw2ylCrU1mpt1SIaFKIUQogZJgiSEMEovqOLwGsCV/epzFRMkgGZe6ky2c5nnSr/ZqKv6fHlfla8vhBAVJQmSEMLoWr7ag1Tp4TWTAu1qJEjeZSRIhsJvQyImhBA1SBIkIYSRoQep0gnS9fNQkAl2jmoNUhUZe5AyzCVIUTfulSALRgohapwkSEIII0MPUqWH2Ay9R8Htwd6xyvc3JEgJWQno9DrTN118wLfZjftJL5IQomZJgiSEMDIUaVe6BynpoPocElmt+zdwb4Cj1pFCXSFXcq+UbmAcZjtQrfsIIUR5JEESQhgZi7SdK9mDlHJUfQ5uX63722ntaOLVBIDzmedLNzDUN12WBEkIUbPqRIL04YcfEhYWhrOzM9HR0ezeXfZ+SytWrCA8PBxnZ2fat2/P+vXrTd5/7bXXCA8Px83NDR8fH2JiYti1y3QF3vT0dMaOHYunpyfe3t5MnjyZnJwcq382IW4nxiJtl0r2IBkSpMDKLxD5Z2XWITWQQm0hRO2weYK0fPlypk+fzqxZs9i/fz+RkZHExsaSmppqtv327dsZM2YMkydP5sCBA4wYMYIRI0Zw5MgRY5tWrVqxYMECDh8+zB9//EFYWBgDBgzg6tWrxjZjx47l6NGjxMXFsXbtWrZu3crjjz9e459XiLqsSj1IeemQnaS+DoyodgxlTvUPiQSNVr1fVlK17yWEEJZoFEVRbBlAdHQ0Xbt2ZcGCBQDo9XoaNWrEU089xcsvv1yq/ahRo8jNzWXt2rXGY927dycqKoqFCxeavUdWVhZeXl78/PPP9O/fn+PHj9OmTRv27NlDly7qppobN25k0KBBXLp0idDQ0HLjNlwzMzMTT0/Pqnx0Ieqcnt/0JLsomx+G/2Cccl+u87/DF0PAuwk8W/1Vrjee38gLW18gMiCSrwd9XbrBRz0g9RiM/gbCB1X7fkKIO0tFf3/btAepqKiIffv2ERMTYzym1WqJiYlhx44dZs/ZsWOHSXuA2NhYi+2LiopYtGgRXl5eREZGGq/h7e1tTI4AYmJi0Gq1pYbiDAoLC8nKyjJ5CFGfFOuKyS7KBipZpG0YXgtqZ5U4mno1BdQeJLP/fzPUIckwmxCiBtk0QUpLS0On0xEUFGRyPCgoiOTkZLPnJCcnV6j92rVrcXd3x9nZmffee4+4uDj8/f2N1wgMDDRpb29vj6+vr8X7zp49Gy8vL+OjUaNGlfqsQtR1huE1e409nk6V6BVNuTG8XYUNas0J8wpDq9GSXZRtnFVnwjBTLvmwVe4nhBDm2LwGqabcc889xMfHs337dgYOHMhDDz1ksa6pImbMmEFmZqbxcfHixfJPEuI2YkhGfJx90Goq8aPB2INknQTJyc6JBu4NAAuF2sEd1GdJkIQQNcimCZK/vz92dnakpKSYHE9JSSE4ONjsOcHBwRVq7+bmRosWLejevTuffvop9vb2fPrpp8Zr/DlZKikpIT093eJ9nZyc8PT0NHkIUZ9UaR82vQ5Sj6uvrTTEBuUUahsSsazLkGumh0kIIazApgmSo6MjnTt3ZvPmzcZjer2ezZs306NHD7Pn9OjRw6Q9QFxcnMX2t163sLDQeI2MjAz27bu56eUvv/yCXq8nOjq6qh9HiNtalfZhSz8PJflg7wK+Ta0WS5kJkrMn+Ny4V3L1i8KFEMIcmw+xTZ8+nU8++YQvvviC48eP8+STT5Kbm8ukSZMAGD9+PDNmzDC2f+aZZ9i4cSNz5szhxIkTvPbaa+zdu5dp06YBkJubyyuvvMLOnTu5cOEC+/bt49FHH+Xy5cs8+OCDAERERDBw4ECmTJnC7t272bZtG9OmTWP06NEVmsEmRH1UpX3YDPVHgRGgtbNaLLcWapsVIsNsQoiaZW/rAEaNGsXVq1eZOXMmycnJREVFsXHjRmMhdmJiIlrtzTyuZ8+eLF26lH/84x+88sortGzZktWrV9Oundq9b2dnx4kTJ/jiiy9IS0vDz8+Prl278vvvv9O27c0aiSVLljBt2jT69++PVqvl/vvv5/3336/dDy9EHWLch60yayAZhteqsUGtOYYlBs5nmFlNG9QVu4/9IAmSEKLG2DxBApg2bZqxB+jPfv3111LHHnzwQWNv0J85OzuzatWqcu/p6+vL0qVLKxWnEPWZsQepMqtoXz2hPgeGWzUWwxBban4q2UXZeDh6mDYwFmrLEJsQombYfIhNCFE3VGkV7bRT6rN/a6vG4uHoQYBLAGBhTzZDgpR2CorzrXpvIYQASZCEEDcYpvlXuAZJVwLXzqivA1pZPZ4yC7U9gsHVHxS9uqq2EEJYmSRIQggA0vMrOc3/egLoitQZbF6NrR5PmYXaGo0UagshapQkSEII9Iq+8rPY0k6qz/4tQWv9HyUVKtQGSJI6JCGE9UmCJIQguyibEqUEqESCdPVGghRg3fojgzKH2EBW1BZC1ChJkIQQxvojD0cPHO0cK3aSIUGycoG2gSFBupRziUJdYekGhgQp5ai6orcQQliRJEhCiKqtgWQYYquBAm0Afxd/PBw80Ct6LmRdKN3Ar7la/1ScC+kWepmEEKKKJEESQlS+/khR4OqNKf4B1l0DyUCj0dDUu4xCba3dzX3ZZJhNCGFlkiAJIW72IFV0BlvmJbXnRmsPvs1qLC7DMJvFQm1DgiRT/YUQViYJkhCi6jPYfJuBnUMNRVWBQm1DgpRytMZiEELcmSRBEkJUfhVtw/Caf83UHxlIgiSEsBVJkIQQxiG2Svcg1VD9kYEhQUrITEBnbqaaYZPcjAtQmF2jsQgh7iySIAkhbvYgVbQGqYbXQDIIdQ/Fyc6JIn0RV3KulG7g6gseoerr1OM1GosQ4s4iCZIQovL7sKWdVp/9W9ZQRCo7rR1hnmFAWcNsN3qRUo7UaCxCiDuLJEhCiMr1IOVnQF6a+tq3ec0FdUPF65BkJpsQwnokQRLiDldQUkBucS5QwR6k9LPqs3sQOHvWYGSqMtdCAgiUQm0hhPVJgiTEHc7Qe+SgdcDdwb38E67dSFRqofcIKtGDlHpUXcBSCCGsQBIkIe5wtw6vaTSa8k+4dkZ99qvdBOl8xnkUcwmQfyt1wcqCTMi6XCsxCSHqP0mQhLjDVXqKv2GIrZYSpCaeTdBqtGQXZ5OWn1a6gb0j+N0oFpc6JCGElUiCJMQdrtKLRBp7kFrUUESmHO0caeTRCKhIobbMZBNCWIckSELc4So1xV9R4JqhB6l2EiSApl7lFGobpvrLnmxCCCuRBEmIO5xxiM2lAglSbhoUZgEa8Glas4HdwlionWEpQWqnPstMNiGElUiCJMQdrlJDbIbhNa9G4OBcg1GZKncmm2HLkbRTUFJUS1EJIeozSZCEuMNVaoitlgu0DZp7q/ezmCB5NQQnL9CXqEmSEEJUkyRIQtzhKrWKdi1P8Tcw1CCl5aeRWZhZuoFGI3VIQgirkgRJiDucoQapYkNstV+gDeDm4EawWzAgM9mEELVDEiQh7mA6vY6Mwgygoj1INxKkWlpF+1bNvW4Ms1kq1DbUIclaSEIIK5AESYg7WGZRJnpFD4C3k3fZjfV6m9UgATTzVgu1z2aeNd9AZrIJIaxIEiQh7mCG4TVvJ2/stfZlN86+AiUF6rYe3k1qITpT5fcgRajP2VcgL72WohJC1FeSIAlxB6vSFH+fMLArJ5mqAYaZbBZ7kJw9wbux+loKtYUQ1VQnEqQPP/yQsLAwnJ2diY6OZvfu3WW2X7FiBeHh4Tg7O9O+fXvWr19vfK+4uJiXXnqJ9u3b4+bmRmhoKOPHj+fKlSsm1wgLC0Oj0Zg83n777Rr5fELUVZVaJNJGBdoGhplsybnJ5Bbnmm8UaCjUlgRJCFE9Nk+Qli9fzvTp05k1axb79+8nMjKS2NhYUlNTzbbfvn07Y8aMYfLkyRw4cIARI0YwYsQIjhxRZ67k5eWxf/9+Xn31Vfbv38+qVas4efIkw4YNK3WtN954g6SkJOPjqaeeqtHPKkRdU7keJNsmSF5OXvi7+ANwPvO8+UYyk00IYSU2T5Dmzp3LlClTmDRpEm3atGHhwoW4urry2WefmW0/f/58Bg4cyAsvvEBERARvvvkmnTp1YsGCBQB4eXkRFxfHQw89ROvWrenevTsLFixg3759JCYmmlzLw8OD4OBg48PNza3GP68QdUnlFom8UfvjW3tbjPyZoQ7pbIalQm1ZC0kIYR02TZCKiorYt28fMTExxmNarZaYmBh27Nhh9pwdO3aYtAeIjY212B4gMzMTjUaDt7e3yfG3334bPz8/OnbsyH/+8x9KSkqq/mGEuA0ZepAqlCBdv9FrU4t7sP1ZxWeyHVNn3QkhRBXVfqXlLdLS0tDpdAQFBZkcDwoK4sSJE2bPSU5ONts+OTnZbPuCggJeeuklxowZg6enp/H4008/TadOnfD19WX79u3MmDGDpKQk5s6da/Y6hYWFFBYWGv+clZVVoc8oRF2Wnl/BVbT1erieoL62YQ9SuZvW+jYHOycozoWMCzaNVQhxe7NpglTTiouLeeihh1AUhY8//tjkvenTpxtfd+jQAUdHR/76178ye/ZsnJycSl1r9uzZvP766zUesxC1qcJDbDnJ6hR/jZ26Ua2NGGeyWRpis7OHgFaQfFhdD0kSJCFEFdl0iM3f3x87OztSUlJMjqekpBAcHGz2nODg4Aq1NyRHFy5cIC4uzqT3yJzo6GhKSkpISEgw+/6MGTPIzMw0Pi5evFjOpxOi7qvwPmyG3iOvhmDnULNBlcHQg3Q55zIFJQXmG8mCkUIIK7BpguTo6Ejnzp3ZvHmz8Zher2fz5s306NHD7Dk9evQwaQ8QFxdn0t6QHJ0+fZqff/4ZP7/yZ+jEx8ej1WoJDAw0+76TkxOenp4mDyFuZ4qi3JzmX14PUvqN+iMb98j4Ovvi7eSNgkJCVoL5RsYESWayCSGqzuZDbNOnT2fChAl06dKFbt26MW/ePHJzc5k0aRIA48ePp0GDBsyePRuAZ555hj59+jBnzhwGDx7MsmXL2Lt3L4sWLQLU5OiBBx5g//79rF27Fp1OZ6xP8vX1xdHRkR07drBr1y7uuecePDw82LFjB8899xyPPPIIPj4+tvlCCFHL8kvyKdCpvTDlTvOvAwXaABqNhmZezdifup+zGWcJ9w0v3Uim+gshrMDmCdKoUaO4evUqM2fOJDk5maioKDZu3GgsxE5MTESrvdnR1bNnT5YuXco//vEPXnnlFVq2bMnq1atp1079X+Ply5dZs2YNAFFRUSb32rJlC3379sXJyYlly5bx2muvUVhYSNOmTXnuuedM6pKEqO8MvUcu9i64OriW3biO9CCBOpPNkCCZFdxefU4/D4U54ORee8EJIeoNmydIANOmTWPatGlm3/v1119LHXvwwQd58MEHzbYPCwtDUZQy79epUyd27txZ6TiFqE8qtQZSHelBglv2ZMu0MJPNzR/cg9XC8tTj0KhrLUYnhKgvbL5QpBDCNgwJUrkF2lDnepCgjJlscMsw2+FaiEgIUR9JgiTEHarCBdoFmXBjvSR8wmo2qAow9CBdzL5Isa7YfKPgG4XayVKHJISoGkmQhLhDGXuQyivQNvQeuQWAk0cNR1W+QNdA3Bzc0Ck6LmRdMN8o6EYdkkz1F0JUkSRIQtyhKryKdh2qPwJ1JptxTzaLW44YhtiOypYjQogqkQRJiDtUhYu061D9kYGhDsniliP+LcHOEYqy1S1HhBCikiRBEuIOZahBut16kIDye5DsHCDgxhpJMswmhKgCSZCEuEMZtxmpaA1SHSjQNjD2IFma6g+yorYQolokQRLiDlXhIm3DPmx1aYjtxp5sCZkJlOhLzDcyzmSTqf5CiMqTBEmIO1CRrojsomygnCG2kkLIvKS+rkNDbKHuoTjbOVOsL+ZS9iXzjWTTWiFENUiCJMQdyDC8Zq+xx9OxjI2XMxIBBRzcwN38Rs62oNVoaeqlJmy31iGlZhWw9tAV/vPTCd7ce+PH2/XzfL/zBBeu5Za7yr4QQhhUaauRc+fO0axZM2vHIoSoJbfOYNNoNJYbGobXfMKgrHY20Ny7OcfTj3Pm+lly0sNZuiuRXefTTdpMcfIhWHOdr37YwHNKK1oGuvNA54Y81KURPm6ONopcCHE7qFIPUosWLbjnnnv4+uuvKSgosHZMQogaVuEZbHVwir+BoQfpk507eWZZPLvOp6PRQNtQT8ZGN+bZmJYU+kYAEOufhoOdhtOpOczecILe7/zC7A3HScsptOVHEELUYVVKkPbv30+HDh2YPn06wcHB/PWvf2X37t3Wjk0IUUMMQ2zlroF0ve7NYAO4ml3Ipnj1dR6X8HVz5LmYVmx/uR/rnr6Lt0a259mYVjRp0w2Av7bOY9+rf2H2fe2JCPEkt0jHf387x93/3sJ/fjpBZp6FLUuEEHesKiVIUVFRzJ8/nytXrvDZZ5+RlJRE7969adeuHXPnzuXq1avWjlMIYUW3cw/SlhOpDHjvN/addgbAwTmNzc/35pmYloR4uZg2Dr655YinswNjujVm/dO9+XRCFyIbepFXpOPDLWe569+/8OGWM+QWWpgRJ4S441SrSNve3p777ruPFStW8M4773DmzBn+/ve/06hRI8aPH09SUpK14hRCWFHFp/jXnUUi9XqFeT+f4tEv9nA9r5hw/yY42bmgp5jrRRZ+1pjZckSj0dA/IojVU3vx33GdaR3kQVZBCf/56SR9/rOFz/44T0GxrpY+lRCirqpWgrR3717+9re/ERISwty5c/n73//O2bNniYuL48qVKwwfPtxacQohrKhCQ2x6fZ1ZA6mgWMffluxn3s+nURQY170JP0y9i1Y+LQA4lXHK/Il+LcHOCYpyICPB5C2NRkNs22DWP3MX80dH0cTPlbScIt5Ye4x73v2VDzafJvFaXrmxFZboOHs1hy0nUlm1/xLf7r3IxiNJnEjOQq+XWXNC3K6qNItt7ty5fP7555w8eZJBgwbx5ZdfMmjQILRaNd9q2rQpixcvJiwszJqxCiGspEJDbDnJUFIAGjvwalRLkZWWkVfEY1/sZe+F6zjaafnXfe15oHNDAFr6tORw2mFOXz/NwLCBpU+2s4fAcEg6CMlHwLf07Fs7rYbhUQ0Y1D6ElfsuMf/n0yRlFjAn7hRz4k7RwNuFDg29CPJ0xtXRjmKdnqvZhVzOyOfy9XySsgqwtHqAv7sj93VqyKO9mhLs5WzNL4sQooZVKUH6+OOPefTRR5k4cSIhISFm2wQGBvLpp59WKzghRM2o0BCbof7Iu5G6t5kNJGcWMO7TXZxOzcHD2Z5Pxnehe7ObMbf0bgnA6eunLV8kuP2NBOkwtBlmsZmDnZYx3RozsmMDfjx4hR/ir7D9bJqaCGXklxmnq6MdjX1dCfBwwl6rISO/mJPJ2aTlFLFo6zm+3nmBF2NbM75HGFpt3VouQQhhXpUSpLi4OBo3bmzsMTJQFIWLFy/SuHFjHB0dmTBhglWCFEJYV3r+jSE2lzKG2Gw8gy05s4Axn+zkfFouQZ5OfPFoN8KDTRe1bOXTCignQQqJggNfQ1J8he7r7GDHg10a8WCXRuQWlnAgMYPTqdmkZBVSVKLH3k6Dn5sjod4uNPBxobGvK35ujqXWkyoq0fP76at8uOUM+xMzeO3HY+xPzOA/D3bAyd6uMl8KIYQNVClBat68OUlJSQQGmq6sm56eTtOmTdHppMBRiLpKp9dxvfA6UMEeJBsUaKdk3UyOGni7sOzx7jTydS3VrqWP2oN0KecSecV5uDqUbkNIpPqcdLDScbg52dO7pT+9W/pX+lxHey39I4K4p3UgX+28wJtrj7Hm4BUy8ov53/guONrLRgZC1GVV+hdqabn+nJwcnJ1lnF2IuiyjMAO9os7o8nH2sdzwum2m+KdmFTBmUfnJEajx+7uoycuZjDPmLxjUDjRayEmB7OSaCtsirVbDhJ5hfPFoN1wc7Nh66ip/X3FQtj0Roo6rVA/S9OnTAXX2x8yZM3F1vflDS6fTsWvXLqKioqwaoBDCugwz2LydvLHXlvEjwAY9SFkFxYz/bDfnKpAcGbT0bklafhqnr5+mQ0CH0g0cXcG/NVw9rvYieQTXUPRl69XCn48f6cRjX+xlzcErdGjoxWN3yZZNQtRVlepBOnDgAAcOHEBRFA4fPmz884EDBzhx4gSRkZEsXry4hkIVQlhDpddAqqUepMISHY9/uZcTydkEeDjxzZTykyO4Ocx2OqOsOqQbw2xX4q0QadX1bR3IrKFtAHh7wwniL2bYNB4hhGWV6kHasmULAJMmTWL+/Pl4epaxC7gQok6q0BT//AzIV+uUaqNIW69XmP7tQXaeS8fdyZ7PJ3alsV/5yRHckiCVWagdCYeWVakOydoe6d6EnefTWXcoiZdWHuLHp3pLPZIQdVCV/lV+/vnnkhwJcZuq0CKRGRfUZ1d/cPKo8ZjmbT7NukNJONhpWPhIZ9o18KrwuYYE6dT1U5brekKj1Oc6kCBpNBreHN4OXzdHTqZk89/fzto6JCGEGRXuQbrvvvtYvHgxnp6e3HfffWW2XbVqVbUDE0LUjAr1INXiHmwbjyTz/ma19+dfI9tXesZYc6/maDVaMgozSMtPI8A1oHQjw55sWZcgNw3cKj8rzZp83RyZNbQNzyyL54NfzjAsKpQmfm42jUkIYarCPUheXl7GdT68vLzKfAgh6q4K1SAZthip4eG10ynZPP9tPACTeoXxYJfKr9jtbO9MY4/G6vUsDbM5eYCfui1JXehFAhgWGcpdLf0p0un5z08nbR2OEOJPKtyD9Pnnn5t9LYS4vVRoiK0WNqnNLSzhr1/tI7dIR49mfrwyKKLK12rp05KErAROZ5ymZ4Oe5huFRMK1M+qCkS36V/le1qLRaJhxbwR/nPmdtYeSePzuDDo09LZ1WEKIG6pUg5Sfn09e3s1NHC9cuMC8efPYtGmT1QITQtSMCg2x1UIP0us/HuVcWi4hXs4seLgjDnZVL1S+tQ7JopAo9bmO9CABtAn1ZGRUA0Cd1SaEqDuq9BNp+PDhfPnllwBkZGTQrVs35syZw/Dhw/n444+tGqAQwroMQ2xl9iDVcA3S+sNJfLv3EhoNvDcqCj93p2pdz7DlSNkJUtVX1K5J0we0wtFOy/az19h9Pt3W4QghbqhSgrR//37uuusuAFauXElwcDAXLlzgyy+/5P3337dqgEII61EUhbT8NAACXMwUMwPoiiHzkvq6BnqQUrIKePm7QwA82ae5yeazVdXGV11b6Mz1MxTpisw3CrmxiOT1hJtLGNQBDX1ceaBLQwAWbLGwGrgQotZVKUHKy8vDw0Od+rtp0ybuu+8+tFot3bt358KFC5W+3ocffkhYWBjOzs5ER0eze/fuMtuvWLGC8PBwnJ2dad++PevXrze+V1xczEsvvUT79u1xc3MjNDSU8ePHc+XKFZNrpKenM3bsWDw9PfH29mby5Mnk5ORUOnYhbieZhZmU6EsAjFt0lG50CRQd2DuDu/VXnZ75wxGyCkro0NCL5/7SyirXDHYLxsvJixKlxPKWIy4+NxO+Kwescl9reeLu5thpNWw9dZVDlzJsHY4QgiomSC1atGD16tVcvHiRn376iQEDBgCQmppa6fWRli9fzvTp05k1axb79+8nMjKS2NhYUlNTzbbfvn07Y8aMYfLkyRw4cIARI0YwYsQIjhw5AqjJ2/79+3n11VfZv38/q1at4uTJkwwbNszkOmPHjuXo0aPExcWxdu1atm7dyuOPP16Fr4YQt4+r+VcBdZsRBzsH840MBdreTUBr3QUMNx5J5qejKdhrNfz7gQ7Vqju6lUajIcJXLfI+fu245YYNuqjPl/ZZ5b7W0tjPlWGRoQB8tEXWRRKiLqjST6eZM2fy97//nbCwMKKjo+nRoweg9iZ17NixUteaO3cuU6ZMYdKkSbRp04aFCxfi6urKZ599Zrb9/PnzGThwIC+88AIRERG8+eabdOrUiQULFgDqEgRxcXE89NBDtG7dmu7du7NgwQL27dtHYmIiAMePH2fjxo3873//Izo6mt69e/PBBx+wbNmyUj1NQtQnhgTJYu8R1FiBdlZBMTN/UP8j89c+zQgPtu5is8YEKb2MBKnhjQTp8l6r3tsanuzbHIBNx5K5mJ5XTmshRE2rUoL0wAMPkJiYyN69e9m4caPxeP/+/XnvvfcqfJ2ioiL27dtHTEzMzYC0WmJiYtixY4fZc3bs2GHSHiA2NtZie4DMzEw0Gg3e3t7Ga3h7e9OlSxdjm5iYGLRaLbt27TJ7jcLCQrKyskweQtxuDPVHZSZINVSgPS/uNKnZhTT1d+Opfi2tem2ACL8KJEjGHqS9YGnVbRtpFeTBXS390Svw5Y4EW4cjxB2vyv3bwcHBdOzYEe0tXfDdunUjPDy8wtdIS0tDp9MRFBRkcjwoKIjk5GSz5yQnJ1eqfUFBAS+99BJjxowxDv8lJycTGBho0s7e3h5fX1+L15k9e7bJYpiNGlV+QTshbO1qntqDZLFAG2qkB+l8Wi5f7VSv+/qwtjg72Fnt2gbhvurPnlPpp9DpdeYbBbcHrQPkpd3cTqUOmdQrDIBley6SW1hi22CEuMNVKUHKzc3l1VdfpWfPnrRo0YJmzZqZPOqK4uJiHnroIRRFqfbyAzNmzCAzM9P4uHjxopWiFKL2GHuQXCsyxGa9HqS3NxynWKdwT+sA7m5VRnJWDU08m+Bq70qBroCErATzjRycb247crlu1SEB9G0VSJifK9kFJaw6cNnW4QhxR6vwStq3euyxx/jtt98YN24cISEhxi1IKsvf3x87OztSUlJMjqekpBAcbH72THBwcIXaG5KjCxcu8Msvv5gUjwcHB5cqAi8pKSE9Pd3ifZ2cnHByqt5aLULYmqEGyWIPkqJYvQdp57lr/HQ0BTutplqrZZdHq9ES7hvO/tT9HLt2jObezc03bNAZruxXC7Xb3V9j8VSFVqthQs8wXv/xGIu3neeR6MZV/vkqhKieKiVIGzZsYN26dfTq1ataN3d0dKRz585s3ryZESNGAKDX69m8eTPTpk0ze06PHj3YvHkzzz77rPFYXFycsVAcbiZHp0+fZsuWLfj5+ZW6RkZGBvv27aNz584A/PLLL+j1eqKjo6v1mYSoy8odYsu/DoU36ut8mlT7foqiGFeIfrhbY1oGeVT7mmUxJEgn0k8wtPlQ840adoE9n9TJQm2ABzo35N2fTnL2ai47z6XTo3n114kSQlRelYbYfHx88PUtYxXeSpg+fTqffPIJX3zxBcePH+fJJ58kNzeXSZMmATB+/HhmzJhhbP/MM8+wceNG5syZw4kTJ3jttdfYu3evMaEqLi7mgQceYO/evSxZsgSdTkdycjLJyckUFakLyEVERDBw4ECmTJnC7t272bZtG9OmTWP06NGEhoZa5XMJURcZVtG2WKRtKND2CAEHl2rfb+vpNOIvZuDsoOXp/tYvzP6zShVqJx1UF8WsYzycHRh2Y/uRb3Yn2jgaIe5cVUqQ3nzzTWbOnGmyH1tVjRo1infffZeZM2cSFRVFfHw8GzduNBZiJyYmkpSUZGzfs2dPli5dyqJFi4iMjGTlypWsXr2adu3aAXD58mXWrFnDpUuXiIqKIiQkxPjYvn278TpLliwhPDyc/v37M2jQIHr37s2iRYuq/XmEqMuMPUiuFnqQrLhJraIozP9Z3fpjbHQTAjxqfojaMNX/xLUTKJZmqfk1B2dvKCmAlCM1HlNVPNytMaCuG3U918LK4EKIGlWlIbY5c+Zw9uxZgoKCCAsLw8HBdMG5/fv3V+p606ZNszik9uuvv5Y69uCDD/Lggw+abR8WFmb5B+MtfH19Wbp0aaXiFOJ2llecR16J+p8ai0NsxgQprNr323bmGvsTM3Cy1/LXu2tn8kYz72Y4aB3ILs7mUs4lGnmYmW2q0ah1SGc3q9P9Qyu3dlttaN/Qi7ahnhy9ksWqA5eZ3Ltm9sQTQlhWpQTJUC8khLh9GAq0Xe1dcXVwNd/IigXa728+DcCYbo0J9HSu9vUqwkHrQCufVhy9dpSjaUfNJ0ig1iGd3XxjJtuUWomtskZ3a8yrq4/wze5EHu0VJsXaQtSyKiVIs2bNsnYcQogaVu7wGsD1G2sDVXORyAOJ19mdkI6jnZYn+liYTVZD2vu35+i1oxxKO8TApgPNN7p1wcg6anhUKP9ad5wzqTnsu3CdLmHWqfsUQlRMlReKzMjI4H//+x8zZswgPT0dUIfWLl+WtTuEqIsMayD5OZcxKyrdOkNsn29LAGBoZCjBXrXTe2TQIaADAIevHrbcyLDlyLXTkHutFqKqPE9nB4Z0CAHgm92y7poQta1KCdKhQ4do1aoV77zzDu+++y4ZGRkArFq1ymTGmRCi7jCugWSpB6mkELJu/AenGkXaSZn5rD+sTqwwrAxdm9r7qwtBHk8/TrHewiw1V18IuLHq/8WdtRRZ5Y2+Uay9/nASObKythC1qkoJ0vTp05k4cSKnT5/G2fnm/w4HDRrE1q1brRacEMJ6yl0kMiMRUMDBDdzKWGm7HF/tuECJXiG6qS/tGnhV+TpV1cSzCZ6OnhTqCjl1/ZTlho27q88XtltuY2OdGnvT1N+N/GIdGw4nlX+CEMJqqpQg7dmzh7/+9a+ljjdo0MDiXmZCCNu6ll/OGkiGAm3fpupMryrIL9Kx9MbaPY/aaOaVRqMx9iKVOczWuKf6nFh3e5A0Gg33d1LXRPpu/yUbRyPEnaVKCZKTk5PZ3exPnTpFQEDN7LMkhKiecou0rVB/tPbQFTLyimno40JMRFD5J9SQdv7qumiH08pKkG70ICXFQ1FuzQdVRSM7NUSjgZ3n0rmYXv2154QQFVOlBGnYsGG88cYbFBer4/sajYbExEReeukl7r+/bu1tJIRQGYbYyu1BqkaC9O1etZh4TLfG2GltNy3dUKh96Oohy428G4NnA9CX1MmNaw0aeLvQo5laWP+9bGArRK2pUoI0Z84ccnJyCAgIID8/nz59+tCiRQs8PDx46623rB2jEMIKDLPYLC8SmaA+VzFBOpOaw56E62g16n5itmToQUrISiCzMNN8I43mljqkHbUUWdXc30n9eq7af6lCC+EKIaqvSgmSl5cXcXFxrFu3jvfff59p06axfv16fvvtN9zc3KwdoxCimop0RWQUZgAVWUW7arVDht6jfuGBBNXSwpCW+Dr70tBdTSqOph213LDxjU2uE+t2gjSwXTCujnYkXMtjf+J1W4cjxB2h0gtF6vV6Fi9ezKpVq0hISECj0dC0aVOCg4NRFEVWexWiDkrNSwXAyc4JLyczM8sUxbRIu5KKSvSsulFE/FAXC6tX17LIwEgu5VziwNUD9GzQ03wjQ4J0aQ/oSsCuSmvn1jg3J3vubRfCd/svsXLfZTo3kUUjhahplepBUhSFYcOG8dhjj3H58mXat29P27ZtuXDhAhMnTmTkyJE1FacQohpS8lIACHINMv+fmJxUKM4DjRa8Kp/g/HIihbScIgI8nLgnPLC64VpF56DOAOxLKaO+KDACnLygKAeSy6hXqgPu76zOZlt76AoFxTobRyNE/VepBGnx4sVs3bqVzZs3c+DAAb755huWLVvGwYMH+fnnn/nll1/48ssvaypWIUQVpeTeSJDcLMwsM/QeeTYEe8dKX3/VfrV4+L5ODXCwq/IC/VbVOVBNkA5dPUSxzsKCkVq7m3VICX/UUmRV072pHw28XcguKCHuWIqtwxGi3qvUT7JvvvmGV155hXvuuafUe/369ePll19myZIlVgtOCGEdt/YgmWWsP2pS6Wtn5hfz60l1htyIqAZViq8mNPVqio+TD4W6Qo5eK6MOqVkf9fl83V7kVqvVcJ+siSREralUgnTo0CEGDrSw+SNw7733cvDgwWoHJYSwrvITpAT1uQr1Rz8dTaZIp6dVkDvhwR5VjND6NBoNnYI6AeUMszW9W32+sB1Kimohsqq778Zstt9Pp3E1u9DG0QhRv1UqQUpPTycoyPLib0FBQVy/LjMshKhrKjzEVoUp/mvirwAwLDK0zk3SqFgdUltw9YPiXLiyv5Yiq5qm/m50bOyNTq/w48Ertg5HiHqtUgmSTqfD3t7yLA87OztKSmRDRSHqmnJ7kNLPqc+VnOKfml3A9rPq+kpDI0OrHF9NMfQgxafGo9NbKGzWaiHsLvX1ud9qKbKqG9lRHWaTRSOFqFmVmtOqKAoTJ07EycnJ7PuFhdLlK0RdVG4PkiFB8mteqeuuO5SEXoGoRt408at7a6C19mmNm4Mb2cXZnM44TbhvuPmGzfrAsdVqHVLfl2o1xsoa0iGUN348xuHLmZxJzaZFYN0Z1hSiPqlUD9KECRMIDAzEy8vL7CMwMJDx48fXVKxCiCoo0ZeQVqD28pjtQSrIgly1yLqyPUhrD6k7zA+rg71HAPZae6ICogDYm7zXcsOmNwq1L+2Gorq935mvmyN9W6uLfa4+IMNsQtSUSvUgff755zUVhxCihqTlp6FX9Nhr7PF1NrPAoKH3yC0AnD0rfN3U7ALjqs73tg+2Rqg1omtwV7Zd2cbOpJ080uYR8418m6lLHGRdgos7oXm/2g2ykkZ0bMDPx1P5/sBlpv+lFVob7nsnRH1VNxYsEULUGEP9UaBrIFqNmX/y6WfVZ9/KDa/9fCwVRYHIhl6EeLlUN8wa0yNUXS17T/IeivUW1kPSaG7OZrsN6pBiIoLwcLLnckY+ey/IxBghaoIkSELUcxWuP/JtVqnr/nQ0GYABbetu7xFAuG84Pk4+5JXkcehqGatlN+urPp/9pVbiqg5nBztjr933B2RNJCFqgiRIQtRz5c5gu2Yo0K54gpRVUGycvRZbxxMkrUZL9xB1tewdV8rYlNYwrJZ8CLLr/krVIzoath5Jkq1HhKgBkiAJUc8Ze5DKm+JfiR6kX09epVin0CzAjRaB7tUNscYZhtl2JJWRILkHQGhH9fWZn2shqurp3tSPEC9nsgtK+PVkqq3DEaLekQRJiHru1hoks4w1SBVPkAzDa3W998jAkCAdSTtCVlGW5YYt/qI+n4mrhaiqR6vVMPzG1i6GvfCEENYjCZIQ9dyVXHUqeKi7man4t07xr2CCVFCs49cTao/F7ZIgBbsFE+YZhl7Rsydpj+WGLW8kSGd/AV3dX/TWsDfblpOpZOTV7W1ShLjdSIIkRD13JaeMBMmwSa2rPzh7Veh6O85eI7dIR5CnEx0aVOycuqBnaE8A/rjyh+VGDTqDszcUZMLlMtZNqiNaBXnQJsSTYp3CusNJtg5HiHpFEiQh6rGCkgLS8tVi6gbuDUo3uHZjeK0SK2j/fFwdsvtLm6Dbav2duxqq24lsvbgVRVHMN9La3SzWPl33h9nglq1HZJhNCKuSBEmIeiwpV+1VcHNww9PRzCKQlSzQVhSFX0+qQ3L3tLZQ01RHdQ3uiou9C6n5qRxLP2a5Ycvbpw4JYFhUKFoN7L1wncRrdXsVcCFuJ5IgCVGPJeWoCVKoeygajZnenkomSGev5nA5Ix9Hey09mvtZK8xa4WTnZBxm++1iGYtBtohRn5MOQlbdH7YK8nSmVwt/AFbHSy+SENZi8wTpww8/JCwsDGdnZ6Kjo9m9e3eZ7VesWEF4eDjOzs60b9+e9evXm7y/atUqBgwYgJ+fHxqNhvj4+FLX6Nu3LxqNxuTxxBNPWPNjCVEnXM5Vf2GGulnYK62SCZKh9yi6qS+ujpXaqahO6NNQ3XPt14u/Wm7kHggNu6qvT6633K4OGXFjNtvqA5ctDx8KISrFpgnS8uXLmT59OrNmzWL//v1ERkYSGxtLaqr5NT22b9/OmDFjmDx5MgcOHGDEiBGMGDGCI0eOGNvk5ubSu3dv3nnnnTLvPWXKFJKSkoyPf//731b9bELUBWUWaMPNGqQKJkhbbqy30/c2G14zuLvh3WjQcDz9OMm5yZYbhg9Wn0+sq53Aqmlgu2BcHOw4l5bLoUuZtg5HiHrBpgnS3LlzmTJlCpMmTaJNmzYsXLgQV1dXPvvsM7Pt58+fz8CBA3nhhReIiIjgzTffpFOnTixYsMDYZty4ccycOZOYmJgy7+3q6kpwcLDx4elZ8U06hbhdXM5Re5DMFmgXZkPujf+MVCBByi0sYc95dd+ve27sJn+78XPxo0NABwC2XtpquWH4EPX5/FZ1Rlsd5+Zkz4C26kKg3x+QYTYhrMFmCVJRURH79u0zSWS0Wi0xMTHs2GF+tdsdO3aUSnxiY2Mtti/LkiVL8Pf3p127dsyYMYO8vLKLGwsLC8nKyjJ5CFHXldmDZBhec/UDF+9yr7X97DWKdHoa+7rS1N/NilHWrr6N+gLwS2IZe675twT/1qAvvu1ms/148ArFOr2NoxHi9mezBCktLQ2dTkdQkOn2B0FBQSQnm+/6Tk5OrlR7Sx5++GG+/vprtmzZwowZM/jqq6945JFHyjxn9uzZeHl5GR+NGjWq1D2FsIUKJUiVHl4LMF/wfZvo37g/ALuSdpFRkGG5oXGYbW3NB2UFvVv44+/uyLXcIn4/fdXW4Qhx27N5kbYtPP7448TGxtK+fXvGjh3Ll19+yffff8/Zs2ctnjNjxgwyMzONj4sXL9ZixEJUXqGukKv56i/KBm5lrIFUgQRJURR+u02n9/9ZU6+mtPZpTYlSwi8Xy+hFMgyznY6D4oLaCa4a7O20DI1UE+HvD1yxcTRC3P5sliD5+/tjZ2dHSorprtkpKSkEB5vfviA4OLhS7SsqOjoagDNnzlhs4+TkhKenp8lDiLrMMMXf1d4VLyczK15fu/H97t+y3GudvZprnN7fvdntNb3fnAFhAwD4KeEny41CO4JHKBTlqLVIt4H7OjYEYNPRZLILim0cjRC3N5slSI6OjnTu3JnNmzcbj+n1ejZv3kyPHj3MntOjRw+T9gBxcXEW21eUYSmAkJCQal1HiLrk1j3YzA6JpZ1Sn/3KT5B2nFVX4+7SxAcXRzurxWgrA5qoCVKZw2xaLYQPUl+f+LF2Aqumdg08aR7gRmGJno1HKld6IIQwZdMhtunTp/PJJ5/wxRdfcPz4cZ588klyc3OZNGkSAOPHj2fGjBnG9s888wwbN25kzpw5nDhxgtdee429e/cybdo0Y5v09HTi4+M5dkxdKffkyZPEx8cb65TOnj3Lm2++yb59+0hISGDNmjWMHz+eu+++mw4dOtTipxeiZl3KvgRYqD9SFEgz9CC1KvdaO8+lA9CjHvQeAYR5hRHuG45O0bE5cbPlhrdO99fV/R4ZjUZjLNaWRSOFqB6bJkijRo3i3XffZebMmURFRREfH8/GjRuNhdiJiYkkJd1cybZnz54sXbqURYsWERkZycqVK1m9ejXt2rUztlmzZg0dO3Zk8GD1B9vo0aPp2LEjCxcuBNSeq59//pkBAwYQHh7O888/z/3338+PP94e/0MUoqISsxIBaOzRuPSbOalQmAloyq1BUhSFneeuAdD9Nls9uyyGXqQyh9nC7lY38s27BufLWH27Dhl+Y9HI7WevkZSZb+NohLh9aRRZdrVKsrKy8PLyIjMzU+qRRJ301C9P8evFX/m/6P9jdPho0zcT/oDFg8EnDJ45WOZ1TqVkM+C9rTg7aDk0KxZH+/oxt+NC1gWGfD8EO40dvzz0C77OvuYbrnse9vwPosbCiI9qN8gqemjhDnYnpDPj3nD+2qfiGxELcSeo6O/v+vGTTghRSpk9SJWqP1J7j7o08a03yRFAE88mRPhGoFN0ZfcitbtffT7+420xmw1gZCe1F0kWjRSi6urPTzshhJFOr+NitroURWNPcwlSZeqP1ATpdtuctiKGNFOn8q89V8ZaR426g2cDKMyCMz/XUmTVM6hdCI52Wk4kZ3M8SRa1FaIqJEESoh5KyUuhWF+Mg9aBEDczszMNPUj+Lcq8jl5/S/1RMwtDULexQc0GodVoOXT1EBeyLphvpNVC25Hq6yPf1V5w1eDl6kC/cHW9qtXSiyRElUiCJEQ9ZPhl39CjIXZaM9Pyr51Wn8vpQTqVms31vGJcHOzo0NDbylHanr+LPz1C1WVCyuxFMgyzndoIRbm1EFn1GYbZVsdfRqeXUlMhKksSJCHqoTLrj4oL4PqN3pJyEiRj/VGYDw529fPHhXGY7exaLM5ZCe0IPk2hOA9ObqjF6Kqub+sAvFwcSMkqNPYCCiEqrn7+xBPiDpeYfSNBMld/lH4OUMDJC9wCyrxOfa4/MujXqB8u9i5cyrlE/NV48400Gmj/gPr64LJai606nOztGNxBHV6VYm0hKk8SJCHqofOZ5wEI8wwr/aax/qil+ovfAr1eYdd5dYHI+rC9iCWuDq78pclfALUXyaION5ZKOLsZsm+PVarvu7Fo5IbDSeQX6WwcjRC3F0mQhKiHzmaoG9E29zazBo6x/qjsKf4nkrPJyCvGzdGO9g3M7OVWjxiG2TYmbKRIV2S+kX8LaBQNih4OLa/F6KqucxMfGvm6kFukI+54SvknCCGMJEESop7JK84z7sPW3MtMgpRWsQRpxzlD/ZFvva0/MugW3I1Al0CyirL4/dLvlhtGPaw+xy9Vt2up4zQaDSNvrKz9/f5LNo5GiNtL/f6pJ8Qd6FzmOQD8nP3wdvYu3cCQIJWzSOSdUH9kYKe1Y3AzdXuiH8+Vse1Q25Fg7wJXT8CV/bUUXfUMvzHMtvV0Gmk5hTaORojbhyRIQtQzZQ6v6fU3a5ACWlu8hk6vsMu4/lH9T5AAhjRXh9l+u/QbmYWZ5hs5e0HEUPV1/NJaiqx6mge4E9nQC51eYe3BK7YOR4jbhiRIQtQzZzPVBKmZl5lNaDMvQlEO2DmWuUnt8aQssgpKcHeyp13onbHXYCufVrT2aU2JvqTsrUcMw2yHV94+W490lK1HhKgsSZCEqGcMPUgtvM2skn31hPrs1xLsHCxewzC81jXMB/t6Xn90q6HN1d6hH8+WMczW9G7wbAgFGXByXe0EVk1DIkOx02o4eCmTs1dzbB2OELeFO+cnnxB3CEOC1MzbTA9R6jH1OTCizGvcSfVHtxrUVN16JP5qPBezLppvpLWDjmPV13s/r73gqsHf3Ym7W/oD8IP0IglRIZIgCVGPZBZmcjlH/QXYysfMKtmpx9XnwHCL19DdIesfmRPgGkCPEHXrkTKLtTuNB40WEn6Hq6dqKbrqGdmpIQDfx1+2vGK4EMJIEiQh6pET6eoQWgP3Bng5mVm7yJggtbF4jWNXssguKMHDyZ62ofV7/SNzDMXaa8+VsfWIV0NoNVB9ve/26EX6S0QQ7k72XEzPZ9+F67YOR4g6TxIkIeoRQ4LUxs9MAqTX3TKDzXIP0o5zaQB0a+qLndbyStv1lWHrkYvZFzl49aDlhl0mq8/xS6A4v3aCqwYXRzsGtgsGYJUMswlRLkmQhKhHjl1Ta4zCfc0kQNcToKRAXcfHJ8ziNXaeU4fX7rT6I4Nbtx5Zc3aN5YbN+4F3YyjIhCOraim66jHMZlt3KInCEtl6RIiySIIkRD1yPF0dQovwNVOEbSjQDmilFhqbUaLTs/sOrT+6lWE2208JP1neekSrhc6T1Nd7P6ulyKqnezM/gjydyMwv5teTV20djhB1miRIQtQTecV5JGQmABDhZy5BujHFv4z6o6NXssgpLMHT2Z6IkDtj/SNzugZ1JdBV3Xpk66Wtlht2HAdaB7i8Fy7X/ZW17bQaRhi3HpFhNiHKIgmSEPXE0WtHUVAIdA3E38W/dANjD1JZ9Ufq9P5uTf3uyPojAzutnXED2zLXRHIPgHb3qa93flQLkVXfiBvDbL+cSCUzr9jG0QhRd0mCJEQ9sT9F7cHoFNjJfAPjDDbLayDdqesfmTO0mTrMtvXyVjIKMiw37P439fno95BV97fyiAjxJDzYgyKdnnWHk2wdjhB1liRIQtQTB1IPANAxsGPpN4vzb85gC25v9vxinZ49xvoj3xqJ8XbSwqcFEb4RlOhL2Jiw0XLD0Cho0gv0JbB7Ua3FVx2GYu3VMptNCIskQRKiHtDpdcRfjQegU5CZHqTUY6DowNUfPELMXuPI5Uxyi3R4uTgQEXzn1h/dyjjMVtaikXCzF2nv51CUV8NRVd+wqFA0GtidkM7F9LofrxC2IAmSEPXA6YzT5Bbn4ubgRkvvlqUbJB1Sn4Pbg8Z8bZGh/ii6qS/aO7j+6FaDmg3CTmPHoauHjAXwZrW+V106oSADDn5TS9FVXYiXCz1vDKP+EC+9SEKYIwmSEPXA3uS9AEQGRGJnbgp/8o0EKaSDxWvc6esfmePv4k+PUHXrkbXn1lpuqLWD6CfV1zs/UhflrOOMs9kOyNYjQpgjCZIQ9cAfV/4AMO4jVoqxB8l8glSs07M3QdY/MsdQrF3m1iOgbmDr7A3XzsCxH2onuGoY2C4YJ3stZ6/mcvhypq3DEaLOkQRJiNtcfkk+e5L2AHBXw7tKN9DrIOWo+jok0uw1Dl3KJK9Ih4+rA62DPGoq1NvSPY3vwc3Bjcs5l42F8GY5eUD3G71Iv8+FOt4r4+HswIC26tYj30uxthClSIIkxG1uT/IeivRFhLqF0syrWekG185AST44uIFvc7PX2GmsP/KT+qM/cbF3IaZxDADrz68vu3G3x8HRHVIOw6mfaiG66hnZMRSAHw9eoUSnt3E0QtQtkiAJcZszrPR8V8O70JgrwDYOr7VTt8cww5AgyfR+8wY1HQTApoRNFOvLWFzR1Re6Pqa+3vqfOt+LdFfLAPzcHEnLKeL3M2m2DkeIOkUSJCFuY8X6YuIuxAHQp2Ef842Sb+xIb2H9o6ISPXsTrgPQo7mZFbgF3UK64evsy/XC6+xK2lV24x5Twd5Z3X7k/G+1E2AVOdhpGRqp9iLJmkhCmLJ5gvThhx8SFhaGs7Mz0dHR7N69u8z2K1asIDw8HGdnZ9q3b8/69aZd3qtWrWLAgAH4+fmh0WiIj48vdY2CggKmTp2Kn58f7u7u3H///aSkpFjzYwlRK7Zf3k56QTq+zr7G2VallFOgfehSBvnFOnzdHGkZ6F5Dkd7e7LX2DGgyAID158oZZnMPhE4T1NdbZtf5XiTD1iM/HU0mp7DExtEIUXfYNEFavnw506dPZ9asWezfv5/IyEhiY2NJTU0123779u2MGTOGyZMnc+DAAUaMGMGIESM4cuSIsU1ubi69e/fmnXfesXjf5557jh9//JEVK1bw22+/ceXKFe677z6rfz4hatqas2sAdQjIXmtfuoFeD1fi1dehUWavsePszeE1qT+ybHCzwQBsTtxMQUlB2Y17P6v2Il3cCac31Xxw1RDZ0Ium/m4UFOvZdDTZ1uEIUWfYNEGaO3cuU6ZMYdKkSbRp04aFCxfi6urKZ599Zrb9/PnzGThwIC+88AIRERG8+eabdOrUiQULFhjbjBs3jpkzZxITE2P2GpmZmXz66afMnTuXfv360blzZz7//HO2b9/Ozp07a+RzClETruZdZcvFLQAMbT7UfKNrZ6AwE+xdILCt2SY7zxsSJJneX5bIgEhC3ULJK8kz1n1Z5BmqFmwDbH5TTVTrKI1Gw/AodZjth/i6v5ecELXFZglSUVER+/btM0lktFotMTEx7Nixw+w5O3bsKJX4xMbGWmxvzr59+yguLja5Tnh4OI0bNy7zOoWFhWRlZZk8hLClpSeWUqwvJiogijZ+bcw3uqwuIEloFNiV7mEqLNHdrD+SBKlMGo2GgU0HArDh/IbyT+j9HDh5qjPajq6q4eiqZ/iNRSP/OJNGWk6hjaMRom6wWYKUlpaGTqcjKCjI5HhQUBDJyea7eZOTkyvV3tI1HB0d8fb2rtR1Zs+ejZeXl/HRqFGjCt9TCGtLy09jyfElAExsN9Fyw0vq+kg07GL27YMXMyks0ePv7kgLqT8ql2E229ZLW8kuyi67sasv9Hxaff3LP0FXxuw3G2vq70ZkQy90eoW1B6UXSQioA0Xat4sZM2aQmZlpfFy8eNHWIYnbULGumCXHl/Dwuofp9U0v+n3bjyfinuCbE9+QU5RT4evM2TuH/JJ8Ovh3oF+jfpYbXrrRg9TAfIJkqD+KbuZnfokAYaKVTyuaeTWjSF/E5sTN5Z/Q/UlwC4Dr52Hf4hqPrzoMvUirZZhNCMCGCZK/vz92dnalZo+lpKQQHBxs9pzg4OBKtbd0jaKiIjIyMip1HScnJzw9PU0eQlRGUk4So9eN5u3db3M47TBZRVlczb/Ktivb+Neuf9F/RX/e2f0Oybll94j+ePZH1p5bi1aj5cVuL1pObIrybq6gbaEH6eb6RzK8VhEajcbYi1ShYTYnd+jzkvp6y1uQl16D0VXPkMgQtBqIv5jBhWu5tg5HCJuzWYLk6OhI586d2bz55v/C9Ho9mzdvpkcP89OVe/ToYdIeIC4uzmJ7czp37oyDg4PJdU6ePEliYmKlriNEZaTlpzFx40ROXT+Fr7Mvr0S/wqphq1g6aCl/7/J3mno1Ja8kj6+Pf829393L//3xf5y5fsbkGoqisPrMamZumwnAlPZTiAwwv3UIAEnxoOjAPRg8G5R6u6BYx75EqT+qrHub3gvArqRdpOVXYHHFzpMgsA3kX4dfZ9dwdFUX6OFMrxbqOlhSrC0EmJkXXHumT5/OhAkT6NKlC926dWPevHnk5uYyadIkAMaPH0+DBg2YPVv9ofLMM8/Qp08f5syZw+DBg1m2bBl79+5l0aJFxmump6eTmJjIlSvqP/CTJ08Cas9RcHAwXl5eTJ48menTp+Pr64unpydPPfUUPXr0oHv37rX8FRB3Ar2i54XfXuBK7hUaezTm09hPCXa72VvZPqA949uMZ/uV7Xx25DN2J+9mzdk1rDm7ho6BHWnn3w4HrQO7k3Zz5Jq6pMXgZoP5W9Tfyr5x4o1ZmQ27gJlepviLGRSV6AnwcKJ5gJvVPm9919izMe382nHk2hE2JWzi4YiHyz7Bzh4Gvg1fDoM9n6oJU5CFonobGx7VgN9Pp7E6/jJP9Wshw67ijmbTGqRRo0bx7rvvMnPmTKKiooiPj2fjxo3GQuzExESSkpKM7Xv27MnSpUtZtGgRkZGRrFy5ktWrV9OuXTtjmzVr1tCxY0cGD1bXLBk9ejQdO3Zk4cKFxjbvvfceQ4YM4f777+fuu+8mODiYVavq9iwTcftaeWole1P24mLvwoL+C0ySIwONRkOvBr34NPZTlg5aSkzjGDRoOJB6gK+OfcVnRz7jyLUjOGodmRY1jX/1/hdaTTn/fC9sU5+b9DL79s31j6T+qLIMvUgVGmYDaNYHIoaqPXobX66zi0fGtg3CyV7Luau5HLksM3XFnU2jKHX0X2odl5WVhZeXF5mZmVKPJCy6XnCdwasGk12czUtdX+KRNo9U+NwrOVfYfmU7F7IuUKQroqlXU/o37k+Aa0D5J+tK4J0mUJQDf/0dQkqvoj3qvzvYdT6dt0a2Y2x0k8p8rDteal4qMStiUFD46f6fCHUPLf+k6wmwoBvoCuGBz6Dd/TUeZ1VMXbqfdYeSeKx3U/4xpG72dAlRHRX9/S2z2ISoQV8d+4rs4mxa+7RmTPiYSp0b6h7KA60e4PkuzzMjegajw0dXLDkCdf+1ohxw9oKg0gtEFhTrOJCYAUj9UVUEugbSNbgrUIleJJ8wuGu6+nrDS2pNUh004sZstjUHr6DTy/+fxZ1LEiQhakhmYSZLTywF4MmoJ7HT2tXezRNuDK817glm7rs/8TpFOj2BHk409Zf6o6owDLOtP1/O3my36v0c+LeG3Kuw6dUaiqx6+rQKwMvFgdTsQuMsRyHuRJIgCVFDVpxaQW5xLi19WnJPo3tq9+YJf6jPYb3Nvm2oP+rRXOqPquovTf6CvdaeU9dPcTbjbMVOsneCofPV1we+gvO/11yAVeRor2VQ+xAAVh+4bONohLAdSZCEqAF6Rc93p74DYFzEuPILqq1JVwKJN7bNCTNfoL39RoLUs7kMr1WVl5MXvULVr2+lepGa9IAuj6qvf3wGivNrILrqGXFjb7aNR5IpKNbZOBohbEMSJCFqwM6knVzKuYS7gzuxYbG1e/NLu6EwC1x8Ibh0cXZOYQkHL2YA0LO5f+3GVs/cumhkpea7xLwGHiGQflbdhqSO6RrmS6iXM9mFJWw5kWrrcISwCUmQhKgB35/+HoAhzYbg6uBauzc/vUl9bhFjtv5oT0I6JXqFRr4uNPKt5djqmb6N+uJi78LF7IscvXa04ic6e8GQeerrHR/WuaE2rVbDMOPWIzLMJu5MkiAJYWX5Jfn8duk3AIY1H1b7AZyOU59bDjD7tqH+qGcz6T2qLlcHV/o27AvAunPrKndy64HQaTygwOonoSDT6vFVx/Abw2xbTlwlM6/ubrQrRE2RBEkIK/v90u/kl+TTwL0B7fzblX+CNWVehpQjgAZa9DfbZPtZdXuMni2k/sgaDLPZfkr4CZ2+kvU6sf9Sp/9nXoQNL1s/uGqICPGkdZAHRTo9G44klX+CEPWMJEhCWNlPCT8BMCBsQO3PEDtzo/eoYRdw9S31dkZeEUevqCsky/pH1tG7QW+8nLy4mn+V3cm7K3eykweM/C9otHBwKRxdXSMxVtXwjmovkuzNJu5EkiAJYUV5xXlsvbQVoPaLswGO/6g+tzR/753n0lEUaBHoTqCncy0GVn852DkwoIk6nLn23NrKX6Bxd+j1rPp6zdOQft56wVXTsEg1Qdp5/hrJmQU2jkaI2iUJkhBW9MflPyjQFdDQvSFtfGt5m4a8dDj3q/q67QizTXYYhtdker9VDWk2BIDNiZvJL6nCtP17XoGG3aAwE1ZOgpJCK0dYNQ19XOkW5ouiwJqDUqwt7iySIAlhRb9fVmcj3dP4ntofXjv+I+hLIKg9+Lc020TWP6oZUYFRNHBvQG5xLr9d/K3yF7BzUPdnc/GBKwcgbqb1g6yiYTeKtVcfkGE2cWeRBEkIK1EUhW2X1S0+ejcwv4J1jTq8Qn1uN9Ls26nZBZxOzUGjgeimkiBZk1ajNa6JVKVhNgDvRjBiofp618Kbw6U2Nrh9CPZaDceSsjidkm3rcISoNZIgCWElJ6+f5Gr+VVzsXegS1KV2b37tLCT8Dmig/YNmmxim97cJ8cTHzbEWg7szGIbZtl3exvWCKm5E23og9Hxafb16ap2oR/Jxc6Rva3WTZCnWFncSSZCEsJI/Lqv7n0UHR+NoV8sJyP4v1ecWMeDd2GyTP05L/VFNaubdjAjfCEqUEuNMxirpP/NmPdLycVCUa70gq2j4jUUjfzh4uXIrhgtxG5MESQgr+f2SWn9U68Nrxflw4Gv1deeJZpsoisLW01cBuLtVQC0Fducx9CJVeZgN1HqkBxeDWwCkHIYfpoGNk5KYiCDcHO24mJ7P/sQq9o4JcZuRBEkIK8gqyuLg1YMA9G5YywnSga8hL03tOWplfnr/yZRsUrIKcXbQ0jWs9PpIwjrubXovWo2Wg1cPcjH7YtUv5NUAHvoKtPZwdBVsm2+9IKvAxdGO2LbBgAyziTuHJEhCWMHOKzvRKTqaejWlgXuD2rtxSRFse1993fNptffBjK2n1N6j7s38cHYovT+bsI4A1wCig6OBKmw98mdNesC9/1Zf//wanP65eterpuEd1e/rtYeSKNbpbRqLELVBEiQhrGBn0k4AeoX2qt0b7/oYMhPBPQg6PmKx2dZTav3R3S1leK2mDWmuDrOtO7eu+vU6XR6FThMABb57VC3Gt5Fezf3wd3ckPbfIWM8mRH0mCZIQVrAneQ8A3YK7ld844yIk7oRLeyEnteo3zboCv93oYeg/CxxczDbLKyph9/l0QOqPakP/xv1xtnMmISuBY9eOVe9iGg0M+o9atF2QCd+Mhnzb1ADZ22kZ0uHGmkjxsmikqP8kQRKimlLzUknISkCr0dI5uLP5RsX5sONDeL8jzGsHn8XC//rDuy3hgy7w8+twPaHiN9WVwHePQVEONOgMkWMsNt11Lp0inZ4G3i40D3Cr3IcTlebm4MY9je4BqlmsbWDvBKO+Ao9QSDulzmwrKar+datg+I1FIzcdTSG3sMQmMQhRWyRBEqKaDBuUhvuG4+noWbrBlXhYeBf89Aqkn1MLb33CwKsRoIFrp+GPuTA/CpY8CGd/KXvWkl4Pa5+FC9vA0R3u+wS0lv8p/3bq5uy1Wl/d+w5lGGZbf349xfri6l/QIxjGfqv+fSf8Dj8+bZOZbVGNvGni50p+sY6fj6fU+v2FqE2SIAlRTWUOr53ZDJ/fqyZB7sEwdD68lADPHITnjsBL5+GBz6F5P0CB05vgq5HwUXfY+zkU5ZleLysJlo+FA1+pO8CP+Aj8mpcZn6FAu08rfyt8WlERPUJ74OvsS3pBOn9c+sM6Fw1ur07/19jBwW9uDq/WIo1GY1wTafUBGWYT9ZskSEJU0+4ktQepa3BX0zcu7oZvxkBxnpoA/W2Huk6Rk8fNNi4+0O4+GPc9PLUfop9QewmunlB7if7dFBYPgVWPwxdD1eG5k+tB66D2HLUZXmZsF9PzOJeWi51WQ88WkiDVFgetA8OaDwPg+zPfW+/CLf8Cg99VX//6Lzi43HrXrqARN4bZtp5O41pO3dhUV4iaIAmSENWQlJPEpZxL2Gns6BTY6eYb1y/AsodBVwitBsKY5eBazvpDfs3h3ndg+jGI/Rd4N4GSAnVI5dByOL9V3Yy2UTQ8vgXaP1BufJtvDIN0buyDp7P5JQBEzRjRYgQAWy9tJS3firO+ujx6czuSH6aqQ7K1qFmAO5ENvdDpFb6XXiRRj0mCJEQ17ElRh9fa+LXB3dFdPagrge8mQ+5VdVjk/k/BvhJbjzh7QY+p6jDc1N0w/EP4yxvq8992wuRN6nUr4Ofj6iy5v7QJqtTnEtXX3Ls5HQI6oFN0rD1rhWLtW8W8Dm1Hgr4Ylj2izoisRQ92aQTA8j0XZesRUW9JgiRENZgdXts+Hy7tASdPGL0UnNyrdnGNBgJaq+sb9XpGfQ6MqPDpWQXF7DynblAbIwmSTYxsMRJQh9msmkhotTDyv9DsHijOha/vh5RqLilQCcOjQnFxsON0ao5sPSLqLUmQhKiGUgXaV0/Cltnq63vfsbhxbG347eRVSvQKzQPcaOov0/ttYWDYQJztnDmXec64FY3V2DvBqK+hYVcoyFCL+yuzVEQ1eDg7MLhDCADLdldjSxUh6jBJkISookvZl7iSewV7jT0dAzuq0643vqwOe7SMLXNtotpgmIb9lzbBNo3jTubu6M6AsAEArD6z2vo3cHKHh7+FwDaQkwxfjoDs2pl+P6abOsy29lAS2QVWWMpAiDpGEiQhqsjQe9TOvx2uDq5wcoNaMGvnCPe+rQ6R2UixTs+WE4b6o0CbxSFuFmtvOL+BvOK8shtXhasvPLJKLeq/fh6+HAa5Nb8VSKfGPrQIdCe/WMeag7KBrah/6kSC9OGHHxIWFoazszPR0dHs3r27zPYrVqwgPDwcZ2dn2rdvz/r1603eVxSFmTNnEhISgouLCzExMZw+fdqkTVhYGBqNxuTx9ttvW/2zifrLsEBk1+CuamF23KvqGz2mgW8zG0YGe86nk1VQgp+bI1GNfGway52uS1AXGnk0Iq8kj7gLcTVzE88QGP+Dutr21RPw5XDIS6+Ze92g0WgY3VXtRZJhNlEf2TxBWr58OdOnT2fWrFns37+fyMhIYmNjSU01v0fV9u3bGTNmDJMnT+bAgQOMGDGCESNGcOTIEWObf//737z//vssXLiQXbt24ebmRmxsLAUFBSbXeuONN0hKSjI+nnrqqRr9rKL+UBTFmCB1C+kGh1fAtTPg4gt3TbdxdLDxaDIA/cIDsdPK6tm2pNFojL1Iq06vqrkb+TaFCWvUjYtTjqhJUg3v23Zfp4Y42Gk4fDmTI5cza/ReQtQ2mydIc+fOZcqUKUyaNIk2bdqwcOFCXF1d+eyzz8y2nz9/PgMHDuSFF14gIiKCN998k06dOrFgwQJA/cU1b948/vGPfzB8+HA6dOjAl19+yZUrV1i9erXJtTw8PAgODjY+3NykkFVUTGJ2Iql5qThoHYjybQe/vaO+0esZ04UgbaBEp2f94SQAYyGtsK0RLUZgp7Fjf+p+Tl0/VXM38m8J49eAqz8kH4Kv7lM3ua0hvm6OxLZVa9y+3nmhxu4jhC3YNEEqKipi3759xMTEGI9ptVpiYmLYsWOH2XN27Nhh0h4gNjbW2P78+fMkJyebtPHy8iI6OrrUNd9++238/Pzo2LEj//nPfygpsbz5YmFhIVlZWSYPcecy1B91COiA87HVau2Hqz90m2LbwIBd59NJyynCx9WBXrJ6dp0Q6BpIv8b9APj25Lc1fLNwtSfJxReu7Ff39yvMrrHbTegZBsD3By5zPdc2m+gKURNsmiClpaWh0+kICjJdoyUoKIjk5GSz5yQnJ5fZ3vBc3jWffvppli1bxpYtW/jrX//Kv/71L1588UWLsc6ePRsvLy/jo1GjRhX/oKLeMdYfBXa6uSdW72fB0fa9kGsPqQWzA9uF4GBn805iccOo1qMA+PHsj+QU5dTszYLawvjV6qKjF3fB0lFQlFsjt+rSxIe2oZ4UluhZtkdqkUT9ccf+9Jw+fTp9+/alQ4cOPPHEE8yZM4cPPviAwkLzewvNmDGDzMxM4+PiRflBcKdSFOXm+kd5+ZBxAdwCoMtkG0emzl7bcET9j8BQGV6rU7oFdyPMM4y8kjzWnrPyytrmhESqe/w5ecKFbfDNaCjOt/ptNBoNk3o1BeCrHQmU6PRWv4cQtmDTBMnf3x87OztSUkzX7UhJSSE42PzaLcHBwWW2NzxX5poA0dHRlJSUkJCQYPZ9JycnPD09TR7iznQ+6zxp+Wk4ah3pcGSNejD6CXB0tW1gwB9n0sjIK8bf3YnoZn62DkfcQqPRMDp8NADLTy6vnS06GnSGR75TN0A+v1XdH7C4oPzzKmlIhxD83By5klnApmO1sw6TEDXNpgmSo6MjnTt3ZvPmzcZjer2ezZs306NHD7Pn9OjRw6Q9QFxcnLF906ZNCQ4ONmmTlZXFrl27LF4TID4+Hq1WS2CgrBkjyrY3Wd33KsqjCU7JR8DBVd1AtA74MV4dXhvcPlhmr9VBQ5sPxcXehTMZZ9ifur92btqoG4xdoX6fnv0Fvh0POusu7OjsYMfD0eqq8Z9vO2/VawthKzYfYps+fTqffPIJX3zxBcePH+fJJ58kNzeXSZMmATB+/HhmzJhhbP/MM8+wceNG5syZw4kTJ3jttdfYu3cv06ZNA9T/pT377LP885//ZM2aNRw+fJjx48cTGhrKiBEjALXQe968eRw8eJBz586xZMkSnnvuOR555BF8fGTNGFE2Y/1R1o11Zjo+oi7WZ2PZBcXG4bVhUaE2jkaY4+noyaCmgwBYenxp7d24SU94eDnYO8Ppn+D7v4JeZ9VbPNK9CfZaDXsSrhN/McOq1xbCFmyeII0aNYp3332XmTNnEhUVRXx8PBs3bjQWWScmJpKUlGRs37NnT5YuXcqiRYuIjIxk5cqVrF69mnbt2hnbvPjiizz11FM8/vjjdO3alZycHDZu3IizszOgDpctW7aMPn360LZtW9566y2ee+45Fi1aVLsfXtx2bq0/6nr5GGi00P1JG0elWncoifxiHc0D3OjUWBL9umpMuLoFzc+JP3M553Lt3bjp3fDQV6C1hyPfwbrn1e1xrCTI05nhUQ0A+GjLGatdVwhb0Si1MhBe/2RlZeHl5UVmZqbUI91Bzlw/w8g1I3FGy7bzCThGDINRX9k6LABGfrSNA4kZ/9/encdFXecPHH/NzT0oCIiCoqBIapoHImq1YmpuZVmZP0vtsEtTy91V17W23Vw7tt22SztMbdM8OszKdE0tw/AWFQ+88EQukfuaYT6/P0ZGB48AgRF8Px+PecB8v5/5zPv9gJl5z/f7/Xw+TBscyVO3tnV1OOIqxv5vLJvObOLhDg8zpeeU+n3ypC/hi8cBBX2eh7i/1lrXhzPyGfDvDSgF/3u+H+0CXTsnmBCXU9XPb5cfQRKiIdmabj961KW4GCNA7wkujafCofR8dp7IQafVcN8tLV0djvgNo28aDdhn1s4rq+c51ToOg7vesv8e/2/45V+11nV4gDeDzk8cOfunI7XWrxCuIAWSENXgGN5fXAwhvSCkh4sjsvv8/FpYv4sMoJm3ycXRiN8SGxxLuG84RdYivjz4Zf0H0G0MDPib/fe1L8PWubXW9bO3hQOwYlcqJ87WweK8QtQTKZCEqCKrzcqm1E0A9Cwpgd7Xx9p9+SUWlm6zF0gjz48kEtc3jUbDqKhRAHy2/zMstTyqrEpiJ0Lfyfbfv58M+7+tlW47tTTTr10zym2Kt9bW4bIqQtQxKZCEqKKkrCTyLfn4lJfT0bMFtB/s6pAA+GL7KQpKrbRt5km/iGauDkdU0ZA2Q/B39yejKINVx1a5JojfzbAfTULBl0/AyS210u3kAe0A+/IjyWl1t8yJEHVJCiQhqujX0/EA9CouQddrHGh1Lo4IbDbF/F+PATAmNgytzH3UYBh1Rv4v8v8A+CTpE2zKBTNQazRw55sQMRCsJfYlSbKufQTazSG+DO4YhFLwxurkWghUiPonBZIQVbTxyEoAYq1a6PJ/Lo7G7n/70jl+tggfNz3Dbmnh6nBENQ2PHI63wZvDOYdZc3yNa4LQ6eGBeRDcFYqzYeEwKMi85m7/MLA9Oq2GH/ens/14di0EKkT9kgJJiCrILc0lqcB+nU/vyPuvi0VplVK8vfYQAI/EtMLDqHdxRKK6fIw+PBL1CABzds1xzVEksP8//99S8G0F547BogeveXHbts28eKCbfUTl377bj80mM8qIhkUKJCGqICFpETYNtC2zENR7kqvDAWD13nT2ncnDy6TniT5tXB2OqKGRUSMdR5F+PP6j6wLxCoCHvwL3ppC6A754DMqt19TlCwPa4WXSs+tkDku2yQLfomGRAkmIKvh1/xIAenu1Au8rL3pcX2w2xVs/2kcIjendmiaeRhdHJGrKx+jDyKiRAMzeNdt1R5EA/MNhxGL7kiQHV8HKP1zTbNsBPm48f/6C7ddWHSC7sKy2IhWizkmBJMRvsGWnEF+aAUBsp1Eujsbuyx2nOJCWbz961DfM1eGIa/Rwh4fxMnhxOOcwK1NWujaY0GgY9jGgge3z4Jd/XlN3o2NaERnkTU6Rhdd+OFA7MQpRD6RAEuI3JG18jUy9Dg809OjwgKvDIa/Ewmur7B80z/0uHF8POXrU0JlNZh7r+BgAb+94m9LyUtcG1OEuGPy6/fd1r0BizRfW1eu0/H2ofa3MJdtOsj45ozYiFKLOSYEkxNUUZrHumH10UV+/mzHqXF+MvLXmEFkFZbRp5smjsXL0qLF4OOphAj0COVN4hoX7F7o6HIh+0j6ZJMCK5+Dw2hp31aN1Ux6NbQ3An77YLafaRIMgBZIQV5PwHmvdDAD0jxrh4mBg67Fs5v+aAsBf77oJo15ewo2Fu96d57raZ2f/ePfHZJdcB0Pj+/8VOj0INissHQWpiTXuasqgSMIDvMjML2X613uQddLF9U7eXYW4kqJsju6YyzGjAb1GR9+W/VwaTl6JhUmLE7EpuO+WFvRrJ7NmNza/b/N7IptGkm/J51/bam8R2RrTauGe9yCsH5QV2If/nzteo67cDDr+/WAX9FoNPySlMW/jsdqNVYhaJgWSEFey5UPWGuzfcqOb98LL6OWyUGw2xbQv93A6p5iQpu68fPdNLotF1B2dVsf06Olo0PDNkW8ciyO7lN4Iwz+DwI5QkA6fDYOimh3d6tTSzLQ7OwAwc+V+Nh7Oqs1IhahVUiAJcTnFOahNs/neywOAO1rf4dJw/vm/ZL7fcwa9VsNbw7vgff60n2h8ugR04YF29sEAf0v4G2Xl18H1Om5mGLkMfFrC2UPw33uhOKdGXT0W25r7urag3KYYt2gHx89e24SUQtQVKZCEuJyN/2GfrZAjRiMmnYkBrQa4LJT5G1N4/6cjAMy6rxPdWjV1WSyifkzsNhE/Nz+O5R3j3cR3XR2OnU8wPPwlePjBmURYeD+UVn8hWo1Gwz/u60TnlmZyiiyM/HgzZ3KLaz9eIa6RFEhCVJaXCptm852XfTmR20Nux9voXe9hKKV4Z+0h/vrtPgAm9I/gge4h9R6HqH8+Rh9mxMwAYF7SPBJSE1wc0XkBkTDqG3DzhVNbYWHNliRxM+j4eHR3Wvt5cOpcMSM/3kxWgYunNhCiEimQhKjsp1exWItZ6eMLwF1t76r3EPJLLExcnMiba+yzZU/oH8HzcRH1Hodwnf6h/R2n2v4c/2fOFp91cUTnBXWCUcvB5AMnfoVFw6G0oNrdBHi78dkT0QSb3TiaWciDHyRwMruo9uMVooakQBLiYmd2wc7/ssHDnWyNjaZuTYkJjqnXENYfyOD378SzYlcqOq2Gl+6K4oUB7dBoNPUah3C9P/b4I23NbckqzuKFn164Pq5HAgjual+3zegFx36BT++u0YXbLZt4sHBsL0eRdN/sX0k6nVsHAQtRfVIgCVHBVg7fPQ/KxqLm9sVf7w2/F4O27i+IVkoRfyiLR+Zu5tH5Wzl+tohgsxtLn+olk0HewNz17rx525t4GbzYkbGDGRtnuHattouF9IBRK8C9CZzeDvMGQ+7pancT5u/JV8/GEhnkTWZ+KffP+ZVlsrCtuA5olMzWVSN5eXmYzWZyc3Px8fFxdTiiNmydC9+/wCFPX+4L8EGr0bLqvlU092peJ09nsymSUnP5cX8Gq5LOcDDdfprCoNPwWGwY438XLqPVBAAJqQk8++OzWJWVoeFD+WvMX9Fpda4Oyy4zGT4dCvmp4B0MD30GLbpVu5u8EgvjFu7gl0P2of/DbmnJS3dH4SOvAVHLqvr5LQVSDUmB1MjknoL3e0NpLtNvvoMVeQeIC43j37f/u1afpsRSzsbDWfy4P4N1B9JJz7twYaqHUceD3UN4LDaMUD+PWn1e0fB9f/R7/hz/Z2zKxoBWA3gl9hU8DNfJ/0nOCfjsfshKBr0b3P0udK7+uoU2m+K99Yf5948HsSkI9DHxt3s6MvCmoDoIWtyopECqY1IgNSK2cvj0Hjj2CydadOFuUy7lqpxFdy6iU7NO19x9Zn4p6w6ks2ZfBvGHMymxXDhF4mHU0S+iGXFRgQzoEIjZQ74tiytbfWw1UzdMxaqstDG3YVbfWUT5Rbk6LLuSPPhqLBxcZb/f8ykY8DIY3Kvd1eajZ5n61R5Ssuwj5GLD/ZgyKJLOLX1rMWBxo5ICqY5JgdSIbHjDvmK5wZPpve5nxan19G3Rl/fj3q9xl6fOFbF6bzqrk9LYejybi19lwWY3+ncIJC4qkF5tmmLSXyenSkSDsCN9B3/4+Q9kFmeiQcPQ8KE8EvUIEU2ug1GOtnL7ayn+/DIpAVEw7GMIrP7M7yWWct5ee4iPfjmKpdz+ArqzUxBP9WvLzSG+tRi0uNFIgVTHpEBqJJJ/gM9HAIrdA6Yz8vB/Afh8yOd09O9Yra7ySix8t+sMy7afZOeJHKd9nVuaiesQSP8OAUQ195ERaeKaZBVn8frW1/kh5QfHtvZN2tMjqAdh5jD83P3Qa/SUq3JyS3M5V3qOnNIccktzL9zKcrHarOi1ekxaE/4e/gR5BNHKpxVRflFENo2s+Sm8Q2tg+bNQmAE6I/SdDLGTwOBW7a5OZhfxrzUHWZ542vFFo0frJjwWG0ZcVCAGnYw1EtUjBVIdkwKpEUjdCfPvgrJ8rN0eZaTmDPvO7uOetvfwSp9XqtSFzabYdPQsS7edZNXeNMfpM60GerRuyqCOQdxxUxAtfKt/mkGI37IzYyef7v2U9SfXU67Ka7VvrUZLR/+OxAbH0ju4Nx39O6LX6qveQUEmrHgODp4v4pq2gcFvQERcjeI5kJbHhxuO8u2uVMcRpaaeRu6+OZj7u7XkpmD54iGqRgqkOiYFUgOXvhfmD4Hic9C6L+91voM5ez7C2+DNintX4O/uf9WHZ+SXsGzbKRZvPcHJ7AvLJEQEePFA95YM7dqCAO/qf1sWoibOFp9la9pWEjMTOV1wmuySbJRSaNBgNplp4tYEs8mMr8kXs9GM2WTGx+SDQWvAarNSYi0hoyiDM4VnOJJzhL1n95JZnOn0HN5Gb2Kax9CnRR9iW8QS4BHw24EpBXu/hlXToCDNvq11X+j/IoT0rFGuGXklfJpwnCXbTpKZf2GQQ9tmngzqGMTAm4Lo1MIsxZK4IimQ6pgUSA1Yyi+wZCSU5EKL7vw6YBrPbJiMTdl4vd/rDA4bfNmH2WyKjUeyWLT5BGv2pWO12V863iY9d3UJ5oFuLekS4itvzKJRSC1IZdOZTWw8vZFNZzaRV5bntL9dk3b0adGHPi360Mm/E276q3whKMmDn16FrR9BxWSXbftDzDho+zuowWvGWm7jl8NZfLn9FP/bl06Z9cLghxa+7gyICuS29s2IDvPD3SjX+YkLpECqY1IgNUA2G2yeA2teBJsFWvYkafDLPP7T8xRZi7g3/F7+Fvu3Sx52MruIFbtSLzladEuoLyN6hvL7zsHyBiwatXJbOUlnk4g/Hc/G0xtJykpCceGjQ6fREWYOo0PTDoT4hBDsGUxzz+aYTWa8jF54Gew3Xd5p+Pk1SFwEFRNeNouEHk9Ax2HgUbOFmPNKLKw/kMHqvWn8lJxJUdmF041GvZbosKb0i2hGv3bNaBfoJV9ibnBSINUxKZAamLQkWD0NUjbY70cNJT56NJPjp1FkLSK6eTSz+8/GoLMPs8/IL2F1UhrfJKay7fg5Rzfebnru69qCEdGhRAbJ313cmM6VnOPX1F/ZeHojCWcSyCrOqtLj3HRueBg8cNca8CwrwqMwG49yKx5K0cSmCPJtQ/OQWILCfkdr/yj83f2rXcyUWMqJP5TFj/vT2XAwk9TcEqf9Ad4meoY1ddzaBXij1UrBdCNpUAXSe++9xxtvvEFaWho333wz77zzDj17Xvn89LJly5gxYwbHjh0jIiKC1157jTvvvNOxXynFSy+9xEcffUROTg6xsbHMnj2biIgLw2Czs7N57rnn+Pbbb9FqtQwbNoz//Oc/eHl5VSlmKZAaiFPbYcsHsGeZ/Rur3o3cuBnM0Rbw2f6FAEQ3j+b1vv8iJcPKz8mZrE/OZM9F60FpNBDTxo97u7aQo0VCVKKUIrM4k/1n93Mg+wCphamkFqSSVphGXlkehZZCSstLf7ujy/DRmgj3DiU8oDNtm7QjokkEEb4R+Lr5Vjm2I5kF/Hwwiw0HM9l09CylVuelWszuBrq3asLNIb7cFOzDTcFmAn1McpSpEWswBdKSJUsYNWoUc+bMITo6mrfeeotly5aRnJxMQMClFwH++uuv9OvXj1mzZvH73/+eRYsW8dprr7Fjxw46drQPy37ttdeYNWsWCxYsICwsjBkzZrBnzx727duHm5v9PPngwYM5c+YMH3zwARaLhUcffZQePXqwaNGiKsUtBdJ1qiQXUhPh8I9w6H+QeQAAG7A/8g6+C27H8lPrKbDkA9DGNABN9t3sO11MWbnzG2fnlmbu6hzMXTcHE2SWC66FqKmy8jIKLAUUW4sptBRSZCmiyFpEsaWYImsRhZZCzmYd4EzqVtLyT5Kqyjit12O7QpHib/Qh3DeccL8oIppEEO4bTlvftngaPK8aR4mlnB0nzrE15Rxbj2Wz48Q5p9Nxjv69jEQFm2nbzJPWfp608vMgzN+TYF93mVagEWgwBVJ0dDQ9evTg3XffBcBmsxESEsJzzz3H1KlTL2k/fPhwCgsL+e677xzbevXqRZcuXZgzZw5KKYKDg5k8eTJ/+MMfAMjNzSUwMJD58+fz0EMPsX//fqKioti6dSvdu3cHYNWqVdx5552cOnWK4ODg34y7rgqkrIJSSiz2F2zFX6bYWkReWe75bfaNChzXAGhKcqGsCA3q/Lbze5RCqUu32X9UFAMXtwV7KXHheZx/V+cXylTO2x2PBRs2NBfFiOP5K5raUHBRm/P7laPXCzFycfz2vjTWYnTlJWisxfbfy/LRlWShK8rCWJSOviSdfK2W3PO3kwYje9ybcVivKNNcuH6ovCSQ0ow7KS9s79jWxMNA73B/bm8fQL92/jIKTQhXyT5KafIPpBxdw+Gz+ziiSjhkNHLYYOC04cpTDfho9ATqPQky+BBoaoKv0QcvgyfeRi98DN54GDwxGNzR60wYdCY0Gh1pORaOZhRzIruY49nFnM4pQSnN+XdNDQrt+d/thZGPmwGzuxFfDz2+7ka83Qy4G3S4GXW4G3S463W4GbUYdDp0Wg06rQa9FrRaDXqN1v5Tq0Gj0VBR/jmVgZcpCis2aa7SrDoHvJRGh82zCqMQf4NJZ8LXVLPrxqrK38uEm6F2j9pX9fO7GpNa1L6ysjK2b9/OtGnTHNu0Wi1xcXEkJCRc9jEJCQm88MILTtsGDhzI8uXLAUhJSSEtLY24uAtzbZjNZqKjo0lISOChhx4iISEBX19fR3EEEBcXh1arZfPmzdx7772XPG9paSmlpRcOE+fl5V3Spja8sHQXGw46D6/Vm7fhHvxFnTxfo2E6fyPwMjuLAFDlRqyFEVhyeuCn68TNgT60C/Sia2gTuob6EtrUQw6rC3E9aNoGU8w4ImPGEakUnEuBk1shYy9FGfs5ci6ZwyVnOWTUc9ho4LDBQKZeT56ykmfJ5ZAlF4pO1uB5z9+uogBIrbijgOLztxuQJT+KklOj6vQ5Pn2sJ/3aNavT57gSlxZIWVlZlJeXExjo/KEWGBjIgQMHLvuYtLS0y7ZPS0tz7K/YdrU2lU/f6fV6mjZt6mhT2axZs3j55ZermFnNGXUa3AwXDuFq0KDR6lG2y63RZf8wN2LFgPUKe8//ri6//bJtq7NfXePjL7v/onuV+rd/o7PfbOe/3ZVrdNjQYdPoKdcY0Wm8MGq9MGk98TUE0twzlDCfMDo1u4nmZk9a+XniZXLpv74Qoqo0Gvskk03bAOABdAI6Wcsg/wzkpUJ+KgU5J0grTCO9OJO00mwyLPnkWYvJU1YKlJV8bBRiw6oUFhQWjcIKWADL+S9GF59OUU4/leOIkv1353cxl1/IW00KKOXa133Uosekr9tTjloXfmmVT4kqmjZtmtORq7y8PEJCQmr9eT4e3eMyWwcB02v9uYQQosHSG6FJK/sN8ALCz9+EqA0uvdrM398fnU5Henq60/b09HSCgoIu+5igoKCrtq/4+VttMjIynPZbrVays7Ov+LwmkwkfHx+nmxBCCCEaJ5cWSEajkW7durF27VrHNpvNxtq1a4mJibnsY2JiYpzaA6xZs8bRPiwsjKCgIKc2eXl5bN682dEmJiaGnJwctm/f7mizbt06bDYb0dHRtZafEEIIIRoml59ie+GFFxg9ejTdu3enZ8+evPXWWxQWFvLoo48CMGrUKFq0aMGsWbMAmDhxIrfeeitvvvkmQ4YMYfHixWzbto0PP/wQAI1Gw6RJk3jllVeIiIhwDPMPDg5m6NChAHTo0IFBgwYxduxY5syZg8ViYfz48Tz00ENVGsEmhBBCiMbN5QXS8OHDyczM5MUXXyQtLY0uXbqwatUqx0XWJ06cQKu9cKCrd+/eLFq0iL/85S/8+c9/JiIiguXLlzvmQAL405/+RGFhIU8++SQ5OTn06dOHVatWOeZAAli4cCHjx4+nf//+joki33777fpLXAghhBDXLZfPg9RQyUSRQgghRMNT1c9vmRJUCCGEEKISKZCEEEIIISqRAkkIIYQQohIpkIQQQgghKpECSQghhBCiEimQhBBCCCEqkQJJCCGEEKISKZCEEEIIISqRAkkIIYQQohKXLzXSUFVMQJ6Xl+fiSIQQQghRVRWf27+1kIgUSDWUn58PQEhIiIsjEUIIIUR15efnYzabr7hf1mKrIZvNRmpqKt7e3mg0mhr3k5eXR0hICCdPnmy0a7pJjo2D5Ng43Ag5wo2Rp+RYM0op8vPzCQ4ORqu98pVGcgSphrRaLS1btqy1/nx8fBrtP3gFybFxkBwbhxshR7gx8pQcq+9qR44qyEXaQgghhBCVSIEkhBBCCFGJFEguZjKZeOmllzCZTK4Opc5Ijo2D5Ng43Ag5wo2Rp+RYt+QibSGEEEKISuQIkhBCCCFEJVIgCSGEEEJUIgWSEEIIIUQlUiAJIYQQQlQiBdJ1oLS0lC5duqDRaEhMTHTat3v3bvr27YubmxshISG8/vrrrgmyBo4dO8bjjz9OWFgY7u7utG3blpdeeomysjKndg05xwrvvfcerVu3xs3NjejoaLZs2eLqkGps1qxZ9OjRA29vbwICAhg6dCjJyclObUpKShg3bhx+fn54eXkxbNgw0tPTXRTxtXn11VfRaDRMmjTJsa2x5Hf69Gkefvhh/Pz8cHd3p1OnTmzbts2xXynFiy++SPPmzXF3dycuLo5Dhw65MOLqKS8vZ8aMGU7vMX//+9+d1thqaDlu2LCBu+66i+DgYDQaDcuXL3faX5V8srOzGTlyJD4+Pvj6+vL4449TUFBQj1lc3dVytFgsTJkyhU6dOuHp6UlwcDCjRo0iNTXVqY96yVEJl5swYYIaPHiwAtTOnTsd23Nzc1VgYKAaOXKkSkpKUp9//rlyd3dXH3zwgeuCrYYffvhBjRkzRq1evVodOXJEffPNNyogIEBNnjzZ0aah56iUUosXL1ZGo1F98sknau/evWrs2LHK19dXpaenuzq0Ghk4cKCaN2+eSkpKUomJierOO+9UoaGhqqCgwNHm6aefViEhIWrt2rVq27ZtqlevXqp3794ujLpmtmzZolq3bq06d+6sJk6c6NjeGPLLzs5WrVq1UmPGjFGbN29WR48eVatXr1aHDx92tHn11VeV2WxWy5cvV7t27VJ33323CgsLU8XFxS6MvOpmzpyp/Pz81HfffadSUlLUsmXLlJeXl/rPf/7jaNPQcly5cqWaPn26+uqrrxSgvv76a6f9Vcln0KBB6uabb1abNm1Sv/zyiwoPD1cjRoyo50yu7Go55uTkqLi4OLVkyRJ14MABlZCQoHr27Km6devm1Ed95CgFkoutXLlSRUZGqr17915SIL3//vuqSZMmqrS01LFtypQpqn379i6ItHa8/vrrKiwszHG/MeTYs2dPNW7cOMf98vJyFRwcrGbNmuXCqGpPRkaGAtTPP/+slLK/gRkMBrVs2TJHm/379ytAJSQkuCrMasvPz1cRERFqzZo16tZbb3UUSI0lvylTpqg+ffpccb/NZlNBQUHqjTfecGzLyclRJpNJff755/UR4jUbMmSIeuyxx5y23XfffWrkyJFKqYafY+XioSr57Nu3TwFq69atjjY//PCD0mg06vTp0/UWe1VdrgisbMuWLQpQx48fV0rVX45yis2F0tPTGTt2LP/973/x8PC4ZH9CQgL9+vXDaDQ6tg0cOJDk5GTOnTtXn6HWmtzcXJo2beq439BzLCsrY/v27cTFxTm2abVa4uLiSEhIcGFktSc3NxfA8Xfbvn07FovFKefIyEhCQ0MbVM7jxo1jyJAhTnlA48lvxYoVdO/enQceeICAgAC6du3KRx995NifkpJCWlqaU55ms5no6OgGk2fv3r1Zu3YtBw8eBGDXrl3Ex8czePBgoHHkeLGq5JOQkICvry/du3d3tImLi0Or1bJ58+Z6j7k25ObmotFo8PX1BeovRymQXEQpxZgxY3j66aed/sgXS0tLIzAw0Glbxf20tLQ6j7G2HT58mHfeeYennnrKsa2h55iVlUV5efllc2gI8f8Wm83GpEmTiI2NpWPHjoD972I0Gh1vVhUaUs6LFy9mx44dzJo165J9jSE/gKNHjzJ79mwiIiJYvXo1zzzzDBMmTGDBggXAhddXQ/7fnTp1Kg899BCRkZEYDAa6du3KpEmTGDlyJNA4crxYVfJJS0sjICDAab9er6dp06YNMueSkhKmTJnCiBEjHIvV1leOUiDVsqlTp6LRaK56O3DgAO+88w75+flMmzbN1SFXW1VzvNjp06cZNGgQDzzwAGPHjnVR5KK6xo0bR1JSEosXL3Z1KLXm5MmTTJw4kYULF+Lm5ubqcOqMzWbjlltu4R//+Addu3blySefZOzYscyZM8fVodWapUuXsnDhQhYtWsSOHTtYsGAB//znPx1FoGjYLBYLDz74IEopZs+eXe/Pr6/3Z2zkJk+ezJgxY67apk2bNqxbt46EhIRL1pfp3r07I0eOZMGCBQQFBV0ycqbiflBQUK3GXR1VzbFCamoqt99+O7179+bDDz90ane95lhV/v7+6HS6y+bQEOK/mvHjx/Pdd9+xYcMGWrZs6dgeFBREWVkZOTk5TkdZGkrO27dvJyMjg1tuucWxrby8nA0bNvDuu++yevXqBp1fhebNmxMVFeW0rUOHDnz55ZfAhddXeno6zZs3d7RJT0+nS5cu9RbntfjjH//oOIoE0KlTJ44fP86sWbMYPXp0o8jxYlXJJygoiIyMDKfHWa1WsrOzG9T/b0VxdPz4cdatW+c4egT1l6McQaplzZo1IzIy8qo3o9HI22+/za5du0hMTCQxMZGVK1cCsGTJEmbOnAlATEwMGzZswGKxOPpfs2YN7du3p0mTJi7JD6qeI9iPHN12221069aNefPmodU6/8tdrzlWldFopFu3bqxdu9axzWazsXbtWmJiYlwYWc0ppRg/fjxff/0169atIywszGl/t27dMBgMTjknJydz4sSJBpFz//792bNnj+O1l5iY6PhiUvF7Q86vQmxs7CXTMxw8eJBWrVoBEBYWRlBQkFOeeXl5bN68ucHkWVRUdMl7ik6nw2azAY0jx4tVJZ+YmBhycnLYvn27o826deuw2WxER0fXe8w1UVEcHTp0iB9//BE/Pz+n/fWWY61d7i2uSUpKyiWj2HJyclRgYKB65JFHVFJSklq8eLHy8PBoMEPgT506pcLDw1X//v3VqVOn1JkzZxy3Cg09R6Xsw/xNJpOaP3++2rdvn3ryySeVr6+vSktLc3VoNfLMM88os9msfvrpJ6e/WVFRkaPN008/rUJDQ9W6devUtm3bVExMjIqJiXFh1Nfm4lFsSjWO/LZs2aL0er2aOXOmOnTokFq4cKHy8PBQn332maPNq6++qnx9fdU333yjdu/ere65557regh8ZaNHj1YtWrRwDPP/6quvlL+/v/rTn/7kaNPQcszPz1c7d+5UO3fuVID617/+pXbu3OkYwVWVfAYNGqS6du2qNm/erOLj41VERMR1Ncz/ajmWlZWpu+++W7Vs2VIlJiY6vQddPNq5PnKUAuk6cbkCSSmldu3apfr06aNMJpNq0aKFevXVV10TYA3MmzdPAZe9Xawh51jhnXfeUaGhocpoNKqePXuqTZs2uTqkGrvS32zevHmONsXFxerZZ59VTZo0UR4eHuree+91KnwbmsoFUmPJ79tvv1UdO3ZUJpNJRUZGqg8//NBpv81mUzNmzFCBgYHKZDKp/v37q+TkZBdFW315eXlq4sSJKjQ0VLm5uak2bdqo6dOnO32QNrQc169ff9nX3+jRo5VSVcvn7NmzasSIEcrLy0v5+PioRx99VOXn57sgm8u7Wo4Vn4WXu61fv97RR33kqFHqoilHhRBCCCGEXIMkhBBCCFGZFEhCCCGEEJVIgSSEEEIIUYkUSEIIIYQQlUiBJIQQQghRiRRIQgghhBCVSIEkhBBCCFGJFEhCCCGEEJVIgSSEuGEkJCSg0+kYMmSIq0MRQlznZCZtIcQN44knnsDLy4u5c+eSnJxMcHCwq0MSQlyn5AiSEOKGUFBQwJIlS3jmmWcYMmQI8+fPd9q/YsUKIiIicHNz4/bbb2fBggVoNBpycnIcbeLj4+nbty/u7u6EhIQwYcIECgsL6zcRIUS9kAJJCHFDWLp0KZGRkbRv356HH36YTz75hIoD6CkpKdx///0MHTqUXbt28dRTTzF9+nSnxx85coRBgwYxbNgwdu/ezZIlS4iPj2f8+PGuSEcIUcfkFJsQ4oYQGxvLgw8+yMSJE7FarTRv3pxly5Zx2223MXXqVL7//nv27NnjaP+Xv/yFmTNncu7cOXx9fXniiSfQ6XR88MEHjjbx8fHceuutFBYW4ubm5oq0hBB1RI4gCSEaveTkZLZs2cKIESMA0Ov1DB8+nLlz5zr29+jRw+kxPXv2dLq/a9cu5s+fj5eXl+M2cOBAbDYbKSkp9ZOIEKLe6F0dgBBC1LW5c+ditVqdLspWSmEymXj33Xer1EdBQQFPPfUUEyZMuGRfaGhorcUqhLg+SIEkhGjUrFYrn376KW+++SZ33HGH076hQ4fy+eef0759e1auXOm0b+vWrU73b7nlFvbt20d4eHidxyyEcD25BkkI0agtX76c4cOHk5GRgdlsdto3ZcoU1q1bx9KlS2nfvj3PP/88jz/+OImJiUyePJlTp06Rk5OD2Wxm9+7d9OrVi8cee4wnnngCT09P9u3bx5o1a6p8FEoI0XDINUhCiEZt7ty5xMXFXVIcAQwbNoxt27aRn5/PF198wVdffUXnzp2ZPXu2YxSbyWQCoHPnzvz8888cPHiQvn370rVrV1588UWZS0mIRkqOIAkhxGXMnDmTOXPmcPLkSVeHIoRwAbkGSQghgPfff58ePXrg5+fHxo0beeONN2SOIyFuYFIgCSEEcOjQIV555RWys7MJDQ1l8uTJTJs2zdVhCSFcRE6xCSGEEEJUIhdpCyGEEEJUIgWSEEIIIUQlUiAJIYQQQlQiBZIQQgghRCVSIAkhhBBCVCIFkhBCCCFEJVIgCSGEEEJUIgWSEEIIIUQlUiAJIYQQQlTy/0BM7DMOCFctAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Displaying the distribution of the 'age' variable depending on the ticket class\n",
    "\n",
    "# Iterate over each group and plot the KDE for 'age'\n",
    "for name, group in df.groupby('pclass'):\n",
    "    group['age'].dropna().plot(kind='kde', label=f'{name} class')\n",
    "\n",
    "# Add title and labels\n",
    "plt.title('Age distribution by passenger class')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Density')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ciekawa zależność - pierwsza klasa miała bardziej zróżnicowany wiekowo profil pasażerów, z większą liczbą starszych osób, co może sugerować, że bardziej zamożne osoby były również starsze, zaś trzecia klasa była zdominowana przez młodszych pasażerów, co może odzwierciedlać niższy status ekonomiczny tych pasażerów (którzy byli osobami szukającymi lepszych warunków życia w nowym kraju?)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Analiza wartości odstających"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# List of numeric columns\n",
    "numeric_columns = ['age', 'sibsp', 'parch', 'fare']\n",
    "\n",
    "# Generating boxplots in a 2x2 grid\n",
    "fig, axes = plt.subplots(2, 2, figsize=(15, 10))\n",
    "axes = axes.flatten()\n",
    "\n",
    "# Create a box plot for each numeric_column grouped by 'pclass'\n",
    "for i, column in enumerate(numeric_columns):\n",
    "    ax = axes[i]\n",
    "    sns.boxplot(x='pclass', y=column, data=df, ax=ax, hue='pclass', palette='Set1', dodge=False)\n",
    "    ax.set_title(f'Boxplot for the \"{column}\" column')\n",
    "    ax.set_xlabel('pclass')\n",
    "    ax.set_ylabel(column)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wartości odstające ze względu na wiek mogą sugerować, że w drugiej i trzeciej klasie podróżowały rodziny z małymi dziećmi, co mogło być mniej powszechne w pierwszej klasie. Ze względu na liczbę rodzeństwa/małżonków wartości odstające mogą sugerować, że choć większość pasażerów podróżowała samotnie lub z jednym towarzyszem, niektórzy podróżowali z większymi grupami rodzinnymi. Jeśli zaś chodzi o liczbę rodziców/dzieci - w trzeciej klasie były większe rodziny, co jest zgodne z oczekiwaniami, że w tej klasie mogło być więcej wielodzietnych rodzin. Wartości odstające w przypadku ceny biletu w pierwszej klasie mogą odzwierciedlać bilety na najbardziej luksusowe kabiny, które były bardzo kosztowne. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Wnioski końcowe\n",
    "\n",
    "1. **Rozkład pasażerów według klasy**:\n",
    "   Większość pasażerów podróżowała w trzeciej klasie, co może wskazywać na większą dostępność biletów w tej klasie dla osób o niższych dochodach. Może to również odzwierciedlać pierwotne założenia przy konstruowaniu statku, gdzie przewidywano większą liczbę miejsc w trzeciej klasie, aby zaspokoić popyt ze strony mniej zamożnych pasażerów. Jednocześnie mniejsza liczba luksusowych kabin w pierwszej klasie była planowana z myślą o bardziej ekskluzywnej ofercie dla najbogatszych pasażerów, co wpływało na tak ogromną dysproporcję pomiędzy klasami.\n",
    "\n",
    "2. **Rozkład wieku pasażerów**:\n",
    "   Rozkład wieku pasażerów pokazuje, że na pokładzie znajdowały się osoby w różnym wieku, z wyraźnym skupieniem w przedziale 20-40 lat.\n",
    "\n",
    "3. **Przeżywalność pasażerów**:\n",
    "   Analiza przeżywalności wskazuje, że pasażerowie pierwszej klasy mieli wyższe szanse na przeżycie w porównaniu do pasażerów drugiej i trzeciej klasy. Kobiety i dzieci miały wyższe szanse na przeżycie niż mężczyźni, co może być związane z zasadą \"kobiety i dzieci najpierw\".\n",
    "\n",
    "4. **Analiza cen biletów**:\n",
    "   Ceny biletów były zróżnicowane w zależności od klasy kabiny, przy czym pasażerowie pierwszej klasy płacili znacznie więcej niż pasażerowie trzeciej klasy. Istnieje związek między ceną biletu a przeżywalnością, gdzie wyższe ceny biletów były związane z wyższymi szansami na przeżycie."
   ]
  }
 ],
 "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": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}