Titanic_EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9016f0ed",
   "metadata": {},
   "source": [
    "# Подключение библиотек"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "fa0d3d15",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style('darkgrid')\n",
    "matplotlib.rcParams['font.size'] = 14\n",
    "matplotlib.rcParams['figure.figsize'] = (20, 5)\n",
    "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e13dcc2c",
   "metadata": {},
   "source": [
    "# Подключение и очистка данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "7ccf42bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Oconnor, Frankie</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>209245</td>\n",
       "      <td>27.14</td>\n",
       "      <td>C12239</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Bryan, Drew</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27323</td>\n",
       "      <td>13.35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Owens, Kenneth</td>\n",
       "      <td>male</td>\n",
       "      <td>0.33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>CA 457703</td>\n",
       "      <td>71.29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kramer, James</td>\n",
       "      <td>male</td>\n",
       "      <td>19.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A. 10866</td>\n",
       "      <td>13.04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Bond, Michael</td>\n",
       "      <td>male</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>427635</td>\n",
       "      <td>7.76</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99995</th>\n",
       "      <td>99995</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Bell, Adele</td>\n",
       "      <td>female</td>\n",
       "      <td>62.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 15008</td>\n",
       "      <td>14.86</td>\n",
       "      <td>D17243</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>99996</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Brown, Herman</td>\n",
       "      <td>male</td>\n",
       "      <td>66.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13273</td>\n",
       "      <td>11.15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99997</th>\n",
       "      <td>99997</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Childress, Charles</td>\n",
       "      <td>male</td>\n",
       "      <td>37.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.95</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99998</th>\n",
       "      <td>99998</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Caughlin, Thomas</td>\n",
       "      <td>male</td>\n",
       "      <td>51.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>458654</td>\n",
       "      <td>30.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99999</th>\n",
       "      <td>99999</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Enciso, Tyler</td>\n",
       "      <td>male</td>\n",
       "      <td>55.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>458074</td>\n",
       "      <td>13.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId  Survived  Pclass                Name     Sex    Age  \\\n",
       "0                0         1       1    Oconnor, Frankie    male    NaN   \n",
       "1                1         0       3         Bryan, Drew    male    NaN   \n",
       "2                2         0       3      Owens, Kenneth    male   0.33   \n",
       "3                3         0       3       Kramer, James    male  19.00   \n",
       "4                4         1       3       Bond, Michael    male  25.00   \n",
       "...            ...       ...     ...                 ...     ...    ...   \n",
       "99995        99995         1       2         Bell, Adele  female  62.00   \n",
       "99996        99996         0       2       Brown, Herman    male  66.00   \n",
       "99997        99997         0       3  Childress, Charles    male  37.00   \n",
       "99998        99998         0       3    Caughlin, Thomas    male  51.00   \n",
       "99999        99999         0       3       Enciso, Tyler    male  55.00   \n",
       "\n",
       "       SibSp  Parch     Ticket   Fare   Cabin Embarked  \n",
       "0          2      0     209245  27.14  C12239        S  \n",
       "1          0      0      27323  13.35     NaN        S  \n",
       "2          1      2  CA 457703  71.29     NaN        S  \n",
       "3          0      0   A. 10866  13.04     NaN        S  \n",
       "4          0      0     427635   7.76     NaN        S  \n",
       "...      ...    ...        ...    ...     ...      ...  \n",
       "99995      0      0   PC 15008  14.86  D17243        C  \n",
       "99996      0      0      13273  11.15     NaN        S  \n",
       "99997      0      0        NaN   9.95     NaN        S  \n",
       "99998      0      1     458654  30.92     NaN        S  \n",
       "99999      0      0     458074  13.96     NaN        S  \n",
       "\n",
       "[100000 rows x 12 columns]"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data_path = \".\\\\titanic_data\\\\train.csv\"\n",
    "titanic_data = pd.read_csv(titanic_data_path)\n",
    "titanic_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8072354c",
   "metadata": {},
   "source": [
    "Проверим количество незаполненных данных по разным признакам:\n",
    " * Cabin\n",
    " * Age\n",
    " * Embarked\n",
    " * Fare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "c3bb9de3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.32134"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data.PassengerId[titanic_data.Cabin.notnull()].count() / 100000\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e24b1ad",
   "metadata": {},
   "source": [
    "Как мы можем увидеть, ячейки с данными о каюте составляют только 32% от общего числа, поэтому это поле при анализе можно опустить"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "8aeb3e66",
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic_data = titanic_data.drop(\"Cabin\", axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7ce43af",
   "metadata": {},
   "source": [
    "Проанализруем количество незаполненных данных о возрасте"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "1165f475",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3292"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "100000 - titanic_data.PassengerId[titanic_data.Age.notnull()].count() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "795ffce3",
   "metadata": {},
   "source": [
    "Как мы можем видеть, мы имеем 3300 ячеек, которые имеют пустые значения.\n",
    "\n",
    "Заменим их на медианное значение"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "dfa2c296",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data.Age = titanic_data.Age.fillna(titanic_data.Age.median())\n",
    "100000 - titanic_data.PassengerId[titanic_data.Age.notnull()].count() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e328664f",
   "metadata": {},
   "source": [
    "Как мы можем видеть, все поля возраста успешно заполнились"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1e084a0",
   "metadata": {},
   "source": [
    "Проверим количество пассажиров, для которых не указан порт посадки(Embarked)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "d053492c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>122</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Broadway, Donald</td>\n",
       "      <td>male</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43939</td>\n",
       "      <td>23.80</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>266</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rodriguez, Richard</td>\n",
       "      <td>male</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11963</td>\n",
       "      <td>7.02</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>489</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Dahms, Ashley</td>\n",
       "      <td>female</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>321399</td>\n",
       "      <td>28.63</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>1017</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Palmer, Wanda</td>\n",
       "      <td>female</td>\n",
       "      <td>53.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 28731</td>\n",
       "      <td>28.10</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Savage, Maria</td>\n",
       "      <td>female</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11914</td>\n",
       "      <td>30.05</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98228</th>\n",
       "      <td>98228</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kunz, Marc</td>\n",
       "      <td>male</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>S.C./PARIS 478751</td>\n",
       "      <td>27.97</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98577</th>\n",
       "      <td>98577</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Moncivais, Kay</td>\n",
       "      <td>female</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>CA 46094</td>\n",
       "      <td>25.46</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98873</th>\n",
       "      <td>98873</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Byers, Karen</td>\n",
       "      <td>female</td>\n",
       "      <td>47.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>29939</td>\n",
       "      <td>28.88</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99237</th>\n",
       "      <td>99237</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Walker, Carrie</td>\n",
       "      <td>female</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>526691</td>\n",
       "      <td>27.13</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99757</th>\n",
       "      <td>99757</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Delperdang, Margaret</td>\n",
       "      <td>female</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43212</td>\n",
       "      <td>114.32</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId  Survived  Pclass                  Name     Sex   Age  \\\n",
       "122            122         0       2      Broadway, Donald    male  65.0   \n",
       "266            266         0       3    Rodriguez, Richard    male  26.0   \n",
       "489            489         0       1         Dahms, Ashley  female  34.0   \n",
       "1017          1017         1       1         Palmer, Wanda  female  53.0   \n",
       "2005          2005         1       1         Savage, Maria  female  46.0   \n",
       "...            ...       ...     ...                   ...     ...   ...   \n",
       "98228        98228         0       3            Kunz, Marc    male  19.0   \n",
       "98577        98577         1       3        Moncivais, Kay  female  44.0   \n",
       "98873        98873         0       1          Byers, Karen  female  47.0   \n",
       "99237        99237         1       3        Walker, Carrie  female  71.0   \n",
       "99757        99757         1       1  Delperdang, Margaret  female  51.0   \n",
       "\n",
       "       SibSp  Parch             Ticket    Fare Embarked  \n",
       "122        0      0              43939   23.80      NaN  \n",
       "266        0      0              11963    7.02      NaN  \n",
       "489        0      0             321399   28.63      NaN  \n",
       "1017       0      0           PC 28731   28.10      NaN  \n",
       "2005       0      0              11914   30.05      NaN  \n",
       "...      ...    ...                ...     ...      ...  \n",
       "98228      0      0  S.C./PARIS 478751   27.97      NaN  \n",
       "98577      0      1           CA 46094   25.46      NaN  \n",
       "98873      2      1              29939   28.88      NaN  \n",
       "99237      0      0             526691   27.13      NaN  \n",
       "99757      0      0              43212  114.32      NaN  \n",
       "\n",
       "[250 rows x 11 columns]"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data[titanic_data.Embarked.isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e6f1e17",
   "metadata": {},
   "source": [
    "Таких пассажирров всего 250, можем заполнить их данные о порте посадки самым часто встречающимся портом"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "8359ce6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'S'"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data.groupby('Embarked').count()[\"PassengerId\"].idxmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "id": "666fbc4b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Embarked</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>22187</td>\n",
       "      <td>21949</td>\n",
       "      <td>22154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Q</th>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5424</td>\n",
       "      <td>5369</td>\n",
       "      <td>5416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S</th>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>72389</td>\n",
       "      <td>68059</td>\n",
       "      <td>72296</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          PassengerId  Survived  Pclass   Name    Sex    Age  SibSp  Parch  \\\n",
       "Embarked                                                                     \n",
       "C               22187     22187   22187  22187  22187  22187  22187  22187   \n",
       "Q                5424      5424    5424   5424   5424   5424   5424   5424   \n",
       "S               72389     72389   72389  72389  72389  72389  72389  72389   \n",
       "\n",
       "          Ticket   Fare  \n",
       "Embarked                 \n",
       "C          21949  22154  \n",
       "Q           5369   5416  \n",
       "S          68059  72296  "
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data.Embarked = titanic_data.Embarked.fillna(titanic_data.groupby('Embarked').count()[\"PassengerId\"].idxmax())\n",
    "titanic_data.groupby(\"Embarked\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5b183ed",
   "metadata": {},
   "source": [
    "Все незаполненные поля успешно заполнены.\n",
    "\n",
    "Проверим  поле Fare на пустые значения и если таковые имеются заменим цену медианой по цене из все выборки:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "033f6a63",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "titanic_data.Fare = titanic_data.Fare.fillna(titanic_data.Fare.median())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "daf40ce6",
   "metadata": {},
   "source": [
    "Опустим поля, которые на мой взгляд не имеют статестической ценности"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "2745e250",
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic_data = titanic_data.drop(['Name','Ticket'],axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98cf387a",
   "metadata": {},
   "source": [
    "# Общая статистика"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "b1592d5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>male</td>\n",
       "      <td>39.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>27.14</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>39.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.35</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>0.33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>71.29</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>19.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.04</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.76</td>\n",
       "      <td>S</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99995</th>\n",
       "      <td>99995</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>female</td>\n",
       "      <td>62.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14.86</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99996</th>\n",
       "      <td>99996</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>male</td>\n",
       "      <td>66.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11.15</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99997</th>\n",
       "      <td>99997</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>37.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.95</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99998</th>\n",
       "      <td>99998</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>51.00</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>30.92</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99999</th>\n",
       "      <td>99999</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>55.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13.96</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100000 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       PassengerId  Survived  Pclass     Sex    Age  SibSp  Parch   Fare  \\\n",
       "0                0         1       1    male  39.00      2      0  27.14   \n",
       "1                1         0       3    male  39.00      0      0  13.35   \n",
       "2                2         0       3    male   0.33      1      2  71.29   \n",
       "3                3         0       3    male  19.00      0      0  13.04   \n",
       "4                4         1       3    male  25.00      0      0   7.76   \n",
       "...            ...       ...     ...     ...    ...    ...    ...    ...   \n",
       "99995        99995         1       2  female  62.00      0      0  14.86   \n",
       "99996        99996         0       2    male  66.00      0      0  11.15   \n",
       "99997        99997         0       3    male  37.00      0      0   9.95   \n",
       "99998        99998         0       3    male  51.00      0      1  30.92   \n",
       "99999        99999         0       3    male  55.00      0      0  13.96   \n",
       "\n",
       "      Embarked  \n",
       "0            S  \n",
       "1            S  \n",
       "2            S  \n",
       "3            S  \n",
       "4            S  \n",
       "...        ...  \n",
       "99995        C  \n",
       "99996        S  \n",
       "99997        S  \n",
       "99998        S  \n",
       "99999        S  \n",
       "\n",
       "[100000 rows x 9 columns]"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "e2ac940c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "      <td>100000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>49999.500000</td>\n",
       "      <td>0.427740</td>\n",
       "      <td>2.106910</td>\n",
       "      <td>38.376690</td>\n",
       "      <td>0.397690</td>\n",
       "      <td>0.454560</td>\n",
       "      <td>43.903241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>28867.657797</td>\n",
       "      <td>0.494753</td>\n",
       "      <td>0.837727</td>\n",
       "      <td>18.009956</td>\n",
       "      <td>0.862566</td>\n",
       "      <td>0.950076</td>\n",
       "      <td>69.545827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.680000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>24999.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>49999.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24.460000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>74999.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>33.470000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99999.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>744.660000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         PassengerId       Survived         Pclass            Age  \\\n",
       "count  100000.000000  100000.000000  100000.000000  100000.000000   \n",
       "mean    49999.500000       0.427740       2.106910      38.376690   \n",
       "std     28867.657797       0.494753       0.837727      18.009956   \n",
       "min         0.000000       0.000000       1.000000       0.080000   \n",
       "25%     24999.750000       0.000000       1.000000      25.000000   \n",
       "50%     49999.500000       0.000000       2.000000      39.000000   \n",
       "75%     74999.250000       1.000000       3.000000      53.000000   \n",
       "max     99999.000000       1.000000       3.000000      87.000000   \n",
       "\n",
       "               SibSp          Parch           Fare  \n",
       "count  100000.000000  100000.000000  100000.000000  \n",
       "mean        0.397690       0.454560      43.903241  \n",
       "std         0.862566       0.950076      69.545827  \n",
       "min         0.000000       0.000000       0.680000  \n",
       "25%         0.000000       0.000000      10.040000  \n",
       "50%         0.000000       0.000000      24.460000  \n",
       "75%         1.000000       1.000000      33.470000  \n",
       "max         8.000000       9.000000     744.660000  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic_data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "301eb52d",
   "metadata": {},
   "source": [
    "## Зависимость выживаемости от пола"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72f40fa6",
   "metadata": {},
   "source": [
    "Можно предположить, что шанс выжить у средней женщины был сильно выше, чем шанс выжить у среднего мужчины"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "e324d568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Зависимость выживаемости от пола'}, xlabel='Sex', ylabel='Survived'>"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.title(\"Зависимость выживаемости от пола\")\n",
    "sns.barplot(data=titanic_data, x=\"Sex\", y=\"Survived\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caccbab7",
   "metadata": {},
   "source": [
    "### Наше предположение подтвердилось\n",
    "\n",
    "В живых осталось:\n",
    "   * 20% мужчин\n",
    "   * 70% женщин\n",
    "   \n",
    "Можно показать этот же результат еще более наглядным графиком"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "21e777c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x1080 with 0 Axes>"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 425.575x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x1080 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x =\"Sex\", hue =\"Survived\", kind =\"count\", data = titanic_data)\n",
    "plt.title(\"Количество выживших в зависимости от пола и возраста\")\n",
    "plt.figure(figsize=(15,15))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59ead0b0",
   "metadata": {},
   "source": [
    "## Зависимость социального статуса и выживаемости"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b47d1c3",
   "metadata": {},
   "source": [
    "Можно проверить, зависит ли шанс на спасение от класса и стоимости билета"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "31d15650",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Соотнешение погибших и выживших по классам билета'}, xlabel='Class'>"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "titanic_data.pivot_table('PassengerId', 'Pclass', 'Survived', 'count').plot(kind='bar', stacked=True, xlabel='Class', \\\n",
    "                                                                            title='Соотнешение погибших и выживших по классам билета')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fec396c1",
   "metadata": {},
   "source": [
    "В этом графике видно, что наше предположение подтвердилось, и шанс на спасение действительно зависят от класса билета"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "f6bf4a70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Шанс на спасение для каждого класса')"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(data=titanic_data, x='Pclass', y = 'Survived')\n",
    "plt.xlabel(\"Class\")\n",
    "plt.title(\"Шанс на спасение для каждого класса\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3987fab7",
   "metadata": {},
   "source": [
    "Этот график еще более наглядно показывает неравенство распределения выживших, притом шанс выжить резко падает в третьем классе.\n",
    "\n",
    "Также это можно показать с помощью heatmap:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "da659123",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Survived', ylabel='Pclass'>"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "group = titanic_data.groupby(['Pclass', 'Survived'])\n",
    "pclass_survived = group.size().unstack()\n",
    "sns.heatmap(pclass_survived, annot = True, fmt =\"d\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db59e366",
   "metadata": {},
   "source": [
    "Проанализруем зависимость возраста пассажиров и выживаемости:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "a4223dc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Зависимость выживаемости от возраста'}, xlabel='Sex', ylabel='Age'>"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,15))\n",
    "plt.title(\"Зависимость выживаемости от возраста\")\n",
    "sns.violinplot(x =\"Sex\", y =\"Age\", hue =\"Survived\",data = titanic_data, split = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fd58a15",
   "metadata": {},
   "source": [
    "По этому графику видно, что шанс на выживание:\n",
    "  * Быстро уменьшается для мужчин с увеличением возраста\n",
    "  * Высок для женщин от 20 до 60"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d02f07e5",
   "metadata": {},
   "source": [
    "# Зависимость шанса на выживание от количества родственников"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62488777",
   "metadata": {},
   "source": [
    "Давайте заведем новые колонки для размера семьи и того, имеет ли он семью в целом, и проанализируем зависимость выживаемости от этих колонок"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "6ba6d258",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vipca\\anaconda3\\lib\\site-packages\\seaborn\\categorical.py:3717: UserWarning: The `factorplot` function has been renamed to `catplot`. The original name will be removed in a future release. Please update your code. Note that the default `kind` in `factorplot` (`'point'`) has changed `'strip'` in `catplot`.\n",
      "  warnings.warn(msg)\n",
      "C:\\Users\\vipca\\anaconda3\\lib\\site-packages\\seaborn\\categorical.py:3717: UserWarning: The `factorplot` function has been renamed to `catplot`. The original name will be removed in a future release. Please update your code. Note that the default `kind` in `factorplot` (`'point'`) has changed `'strip'` in `catplot`.\n",
      "  warnings.warn(msg)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2345a025d60>"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "titanic_data['Family_Size'] = 0\n",
    "titanic_data['Family_Size'] = titanic_data['Parch']+titanic_data['SibSp']\n",
    "\n",
    "titanic_data['Alone'] = 0\n",
    "titanic_data.loc[titanic_data.Family_Size == 0, 'Alone'] = 1\n",
    "\n",
    "# Factorplot for Family_Siz\n",
    "\n",
    "sns.factorplot(x ='Family_Size', y ='Survived', data = titanic_data)\n",
    "# Factorplot for Alone\n",
    "sns.factorplot(x ='Alone', y ='Survived', data = titanic_data)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de125ad5",
   "metadata": {},
   "source": [
    "По этим данным видно, что:\n",
    "* Шанс выжить у одинокого человека меньше, чем у человека, имеющего хотя бы одного родственника\n",
    "* Шанс выжить в среднем уменьшается при увеличении количества родственников, если не считать семьи очень большого размера(их мало, поэтому трудно делать статистически достоверные выводы на их основе)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8db74a96",
   "metadata": {},
   "source": [
    "#### Теперь найдем непосредственную зависимость выживаемости от цены билета"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "e768b4d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1800x1080 with 0 Axes>"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABJ8AAAGgCAYAAAAEmcauAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAACfeElEQVR4nOzdd3gc1dXH8a8tN2yKARtsej/0YrpD7zX0AIHQEkoC5KUlEHrvEEInhNBCMb2GTiCYjg0ECBxCIITeHJviXt4/zh1ptFrJku3dtWZ/n+fxI+/szO7oauqZc8/tMmXKFERERERERERERCqha61XQEREREREREREikvBJxERERERERERqRgFn0REREREREREpGIUfBIRERERERERkYpR8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiutV6BURERGY0M9se+A2wDDAZGA6c4O4v1nK9RKS+mNmswDHADsCiwCzprTHAau7+z1qtm4iISDV1mTJlSq3XQUREZIYxsz2AvwD3ANcCXYBDgfWAjd39mdqtnYjUCzPrBgwljkFXAB8BY4EJwLvuPrJ2ayciIlJdynwSEZHCMLMuwDnA4+6+Q276w8AHwGGAgk8iUg1bAwsAS7n76FqvjIiISC0p+CQiIkUyN/BP4Jr8RHcfZ2ajgB7ZNDObBTgR2BlYCBgHvAj81t1fTfOcDJyU+6ixwL/SPA+XzNPd3SemaZsDDwM3ufueadqswGnp++YGHDjD3e9I7z8FdHP3dXLreBbRZWd/d/+Tme1DZHMBLOHu/87NezhwIfCJuy+QpjUABwC/BJYAvgFuBU509zG5ZTcDjgcGAd8DDwG/BfoQQbuy3L2LmV0HbJJ9Z3uY2QbA33KTJgCfAZe5+7kl82zq7o+X+YxuablT3P1kM/sGeB/Y2t2/zLXVku7+npmtBdwOvOnuW5rZf4Ch2d8nfeYtwG7Zd7bz798AHAX8DFic6Ob5OtHN84ncZy9ABEa3ILpevQwc7e4v5ObJ0tFPd/cTctP7pfbplm8PM1sVOB1Yndi2nwGOcfc3csvOC5xFBEL6AP8AjnP3v6Vtbv3Stk32Bf5Dyd/AzOYB3gW+b+tvbmYD07ptCvQH3kq/1z1l/v55H7r7ImU+bxFiW9zf3f+Um/4XYJ38Mma2LXACsALwHXAn0S6j0vv7kNs2cst9TASu92nt+0rWqXH+Vn6XDYnjwLZmdjywJPAJcBVwvrtPTp/zFFPZ99O064C9W/sud38qzbcssa2tT9R3fQo40t29zDadd3363VcETgbWBfoCXwJ3EdurgmgiIjJNVHBcREQKw92/dvfN3H0IgJn1MLOBZnY2sDSQv4m8ngjMnA9sRdSIWgEYkjKo8jYguu3tCfwA3Glmc5dbBzPrDlxUMq0rEdD5OfAHov7LcOA2M9uqlc9ZHDi8lV/1W2D7kmm7EYGPvKuAS9J370R0/TkEuD/7Hc1si/T+D0QA5TfAZsB9RMBj3fTvzNz3ZNOm1+Hpc7YjbpDPSeszLXYgAojHt/L+H4BHid+vBTNbh/jdytmA1v/+ZxE36n8GtgEOAvoBd6SAI2ne54AfEYGqPYCJwN9SACmv3N92F0qu2cxsQ+B5oBdwYPq3EPBcCj5gZr2Jbl9bEgGHnYkA5ENmtjLRHTX/t7wh9/qvrbTFmcAcrbyXrdu8RHBtY6JtdgX+C9xtZnsDr+a+JwumbpBe79zWZ0+Nmf0EuDd930+I3/snxO9c7YeuiwJrAdcRQd8dgJuBM4BLW1toKvv+VzS13bql85nZEsS2thBxfPsFMD/wrJktSGyn2bKvAW/kXp+RgobPEEGn/Ylt+g7iuHFEu39zERGREsp8EhGRInufuPGCuIF6ECIoBcwJ/J+7/yW9/0QKFpyflvk49znP5rKaxgH3E8XMh5b5zkOAWYEvctM2B9YBdnX329K0R8xsYSLQU+5G/0LgTaA0OEGaf3vggrROixHZL08BS6VpyxLBrpPc/dS03ENm9glxM7wtEWA6BXibyBjKMjG+Bi4DFnb3oWnaEukzhuWzRabTm7nPfwbYC1iNyBbpEHf/e8oWuTVlmTQys8FEVtd27v556bIpOHgxMIzy7d3W338hIpPswtznjSa2t5XTPIcD8wLLu/u/0jwPEDf/ZxLbR+avwG5mtngus213IlNo49x8ZxOZOZvm1u1h4D0i42hHIktmCWCtrNi+mT2Rfs9N3f283DoDfJT9PdK0ZUvaadX0ma8R2UytOQKYB1g2t63cZ2ZPAucRGYHZ332T9H5jG0+rFFA9H3jK3XfOTf8H8XfYBbhler6jg/oAywEHuPvVadpDZjYWOM3MLnb3d8os19a+P77kb9Sr5P2TicDmhu4+Is3zELFdHO/uBxKBOVI2aLeSz9ucyFLbMVeT6hEz24gIEJ7ezt9dRESkGQWfRESkyLYiAklbAb8ChgA7uft4ojtQlqWxFGBE1ySAniWf05BuzvsC+xAjVbW4aUxdkk4isl/Ozr21HpGVdHd+fnffhDJSN7jN0no/WWaWu4FbzGwed/+SCE48S9xULpXmybpT3Vyy7E1Et8QNzOwxImh1ehZ4Suv1ELBYuXVrTcoqmeLukzqwWNe0XC/i7wOREdZinnYGJh4mMkNOIrrHAcxF3DDfUS7wlOxPbCcHEIXqS7X693f33QDMbC6i7ZciMrmgaTvamMgw+SCXfTOFCGIdbmY90jYJ8O807/bABam73o/Sum2cvqsP8Xc7M98u7v4/M7sf+HGatB4RUHoxN88EYMVW2qFVKbBzMbHt9ALKbrvJBsBLZYKUNxCZTssS3f9mtKWABYHzSrKcXiSy+DajefCpoR3ZUNk2OsndOzpKzxRiv7+hZPrNxDa5ISXHkXbs+1OzMRGE/jb3u/0APJ4+t03u/ggRbGows6WIroIrEcHGkdOwPiIiIoCCTyIiUmDu/g/iJvehlI3yWzNbw91fShkXvweWJ7o6vU7cpEGMTpU3tuT15e7+dZmvPBN43d1vTV39Mv2AEenGv03phvEiIkOktXpLw4mRs7YlggG7E5lKa+bmmSv9bBZwcfeJKbOpb5qnC82ztKbF/ET9JcxsJJG1cY67PzCV5R4pef0acZPcYp6UcfQR0X3pNFp2McTdJ6VuXY/TVN/rReBToo1aMLO+RCDgaGBUK+vZ6t/fzAYRXajWJoJSb6T1hKbtqB+RgdTa379fWsfM3TRltu0GvEIEpTJ902eXC6Z9TlO3uH5M/982sweR7bUdkV3UlrmI/ancukGsfyX0Sz8vTv9KzV/yulzWUamr0r8JZvYZEZw8qZ0j1X0HfOXu40qmZ8eOvvmJ7dz3p6Yf0cW23LbWnuNPV+BUokvm7MS2/CKxbZceF0VERNpNNZ9ERKQwzGxlM3vDzDYt83bWtWTRVFPlfiJIsjjQ193XS9PKWYvINFmHCFT8ysx2KJlnVaLb2K/LLD8SmLM0y8LMVrAohJ13KNFt72zadg+wvZmtQGRt3VHy/oj0c0DJd3YnblC/JoItUyjpQpWyHrZOmVzt8SXRPqsTNXs+AO4p87uVOjgtsxZR4HpJ4sa73DwbEd2RjiSChi2kboy3EgGr3+eWH0XUYOpRZrFT0vpeW+a9TNm/v5nNTtSRGktk88zq7msSdXXyRhLb3+qt/CsNZN4NDE7tvzstu4qNJP5uA2hpPqKuUzZfi+5xZraGma3Uxu9bqg9RwPrEVoKupUa0sW7Q8vedUUamn8dQvp0PLZl/h5L3vyzzmVlB9/WIIua7E9mD7fEhMHeZ7KqF08/S4GF79v2pZV+NJArrl/v9B099lTmGCMT+mjguLuTuuxAZhSIiItNMwScRESmSt4mb3tPK3PBldXWyWiq9iBGn3s91p8mKf5eeH4e5+yvu/mwahWwULbsdXQz8yd3LZXw8AzTQ1B0qczlRsDrTj+gydlQ7RpW6O63DL4gRt0pvDp9OP39aMn33tC5D3f17Itto+5Ii6xsCDxCZLu0xIbXPK2mEt0PTd0ytKPm7aZkX3f06ImOptF2zeZ5z9yuIwNIGrXzetUT22q40det6lKh/tDpRDydvGWIkwEOn0qWqtb//0sTIhZe5+9u5roul29FTRIDwvVw7vZLW83BKMlLc/TUicHEEUTfqtpL3fyCyoXbJb+cpi2sbmgKtzwALp+ysbJ7uRIDusDZ+31LHEgGtK9o5/9PAGinIm7cnEcTwDnx3R7xDZHotXtLOHwDnEtlpeW+WzFcuM+jD9P4L7n4DEXjaoJ3r8zDRy6B0HzwAmETzzL/27Ptd03JteYqoM/V6ye/26zLrUc46wDvufn1udMAFiMEYdN8gIiLTTN3uRESkMNx9nJntTwyt/qSZXQaMJoI+PweucPe3UheuicDZZnYhUZtnH5qCBn1KPvpHZjYJmIWopTQHEcTKWyK3fKkHiZHJrjGz+Yl6RLsQN8P5YtMGPJ0rSt6WocD3RGbPvqVvuvs/zex64MQ06tlTRO2WE4G/p3Uivb6PGInsGiKYchpRb+aZdqwHQA+L0eK6puV3JzI0yhVkz1s+FV/uTmQ9ZUPTl5unDxGI2YyWNXQws5+l5Td19zGpRhMA7v5OKkZ+nJn9xd3/md4aRAwv/2Lp55Vo7e//DhGIOtbMJhLBi52JotzQtB1dSIwk+Dczu4DIsNmeCHyd0Erg6x5iZLyn3P3TVH8n73dE8OIxM7uE6GZ4DBFUPTnNcy0RdLjXzE4iMm0OJIqBT63rXN4aRAHr9tbzyn7fJ8zsVCLgtBfx99m/g3XBSi2RtrVMf6Cnma3m7q+Y2e+I/Qxi1Ls+RLssQewr0/p9sxA1pfYk9p+pcvdHzOw+4EozW4hU6J0Izp7h7vmulq3u+2Y2B7Htr8LU6y6dArwAPJqOfz8A+xHb5c/asdovAlukov3PE+12DHGMLD0uioiItJueYIiISKG4+z1EVsoEIrPoNiLT6Zekm89UCHl3YCBwF1EvaTKR0TCFlhk7TxGBmIeIm+hzgD+WzHOCu39DGelmewui0PBxRHBseWCblCmUmUT5bnutfeZ96fe8p5XZfk5kU+yS5v0lcAmwRRYASHWZtiYyxm4nhoG/jyjM3qKuUiv6E+3zNHA90ZVxV3d/firL/T4t9yTRvekhWv7+2TwPEEXJ/0gEZRqljJ/zgVvcvbRmVOZsYvTDy3PTviNurKfmKcr8/d39WyKINJnoGnctUVdoPaKO2LoA7v4ZEWh04A/E32td4Ffu3troYXcT2WNlR2dL280mxLXcX4AriYLza6ZaZ7j7d2ldnia6Mw4h6vhs5O5vteP3ztzu7k+1d+ZU2H0wEcg4P33vgsQIan/qwPeWczTxt8j+bUZsu3ek776W2N5XJvazK4hi4xu4+9vT8X0PEwG/+2kKLrbHbsTxZX/ib7pd+swTSuZra99fmRjtcF5i/2yVu79JZC/9QHT/vJ3o5vcTbxrZsy1nE/vIwaSC+ESw90RgGTObux2fISIi0kKXKVM6OnCHiIiIiMjMwcz2AU5290VqvCoiIiLSCmU+iYiIiIiIiIhIxSj4JCIiIiKd2RfAy7VeCREREWmdut2JiIiIiIiIiEjFKPNJREREREREREQqplutV2BGmzx58pRJk5TNJSIiIiIiIiIyo3Tv3vA1McpxhxUu+DRp0hRGjhxd69UQERERERERESmM/v1n+3Bal1W3OxERERERERERqRgFn0REREREREREpGIUfBIRERERERERkYpR8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiFHwSEREREREREZGKUfBJREREREREREQqRsEnERERERERERGpGAWfRERERERERESkYhR8EhERERERERGZyQwf/gqnnHIcw4e/UutVmW7dar0CIiIiIiIiIiLS3O2338wHH7zP2LFjGDRotVqvznSpavDJzHoClwC7AOOAC9393DLzPQWsX+Yj/ubuG1V0JUVEREREREREamzMmLHNfnZm1e52dx4wGNgEOBA43sx2KzPfjsDA3L9NgInA76u0niIiIiIiIiIiMgNULfPJzPoA+wPbuvswYJiZnQscAtyan9fdR+SW6wLcB1zv7vdXa31FRERERERERGT6VbPb3UpAT2BobtpQ4AQz6+buE1tZbjdgaWDbCq+fiIiIiIiIiEir5ppjFhp6VCeU0tDQpfFn//6zVeU7J42fyIhRY2b451Yz+DQQGOHu+c6KXwA9gP7AZ60sdyxwhbt/UeH1ExERERERERFpVUOPbnx5yd+q8l2TRo5p/Fmt75zn0A0r8rnVDD71JoqM52Wve5ZbwMzWIbKetmzvlzQ0dKFv397TtIIiIiIiIiIiIvWsEjGVagafxtIyyJS9Ht3KMrsCT7r7x+39kkmTpjByZGsfJyIiIiIiIiIybarV/a2WWoupTM/vXs3R7j4B5jSzHrlpA4jspxHlF2FL4K5Kr5iIiIiIiIiIyMxklm49mv3szKoZfHoNGA8Mzk1bBxhWrti4mfUDFgeersraiYiIiIiIiIjMJHZeZn2W7bcwOy+zfq1XZbpVrdudu482s+uBy81sHyLr6SjgAAAzGwCMcvesrPrywATg3Wqto4iIiIiIiIjIzGDQgCUZNGDJWq/GDFHNzCeAI4CXgSeBK4FT3X1Ieu8zosZTZl4iGDW5uqsoIiIiIiIiIiIzSpcpU6bUeh1mqAkTJk1RwXERERERERERmdH695+NLy/5W61Xo2LmOXRDvvrqu7Lv9e8/2zBgtWn53GpnPomIiIiIiIiISB1R8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiFHwSEREREREREZGKUfBJREREREREREQqRsEnERERERERERGpGAWfRERERERERESkYhR8EhERERERERGRilHwSUREREREREREKkbBJxERERERERERqRgFn0REREREREREpGIUfBIRERERERERkYpR8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiFHwSERERERERkZoZPvwVTjnlOIYPf6XWqyIV0q3WKyAiIiIiIiIi9ev222/mgw/eZ+zYMQwatFqtV0cqQJlPIiIiIiIiIlIzY8aMbfZTikfBJxERERERERERqRgFn0REREREREREpGJU80lEREREREREmplrjt409Gioync1NHRp/Nm//2xV+c5J4ycxYtToqnyXKPgkIiIiIiIiIiUaejTw+QXvVOW7Jv1vQuPPan3ngCOXrsr3SFC3OxERERERERERqZiqZj6ZWU/gEmAXYBxwobuf28q8SwOXA2sBHwO/c/c7q7WuIiIiIiIiIiIy/aqd+XQeMBjYBDgQON7MdiudycxmBR4ngk4rAZcCt5jZslVcVxERERERERERmU5Vy3wysz7A/sC27j4MGGZm5wKHALeWzL4XMAH4ubtPAP5lZpsBawP/rNY6i4iIiIiIiEhl9erWs9lPKZ5qZj6tBPQEhuamDQVWN7PSINhGwH0p8ASAu2/j7tdUfjVFREREREREpFp2XmoblplrSXZeaptar4pUSDVrPg0ERrj72Ny0L4AeQH/gs9z0xYFXzexyYIf03onu/kC1VlZEREREREREKm+VeZZnlXmWr/VqSAVVM/jUmygynpe9Ls2tmw34DVFwfCtgM+AeM1szddlrVUNDF/r27T0DVldERERERGTqXnzxRe6443Z23nkX1lxzzVqvjoi0k2IH5VWiXaoZfBpLyyBT9np0yfSJwBvufmx6/aqZrQscQBQqb9WkSVMYObL040RERERERCrjuuuu5YMP3uf777/HbIVar47IDNG//2y1XoWKm5bYQT23y/T87tWs+fQJMKeZ9chNG0BkP40omfdT4J2SaQ4sVLnVExERERER6bgxY8Y2+ykiIs1VM/j0GjAeGJybtg4wzN0nlsz7PDCoZNqywH8qtXIiIiIiIiIiIjLjVa3bnbuPNrPrgcvNbB8i6+kooisdZjYAGOXuY4CrgF+b2TnAH4FtgU2ANaq1viIiIiIiIiIiMv2qWfMJ4AjgCuBJ4FvgVHcfkt77DNgXuM7d/2tmmwIXA/8HvA/s5O6vVnl9RURERESkE5qjb296dG+oync1NHRp/FmtejDjJ0xilGrdikgnUdXgk7uPBvZO/0rf61Ly+gWU6SQiIiIiItOgR/cGzrn7s6p81/++n9T4s1rfefQOA6vyPSIiM0I1az6JiIiIiIiIiEidUfBJREREREREREQqRsEnERERERERERGpGAWfREREREREpkNDj17NfoqISHMKPomIiIiIiEyHJdbciTnnX4Yl1typ1qsiIjJTqupodyIiIiIiIkXTf5FV6L/IKrVeDRGRmZYyn0REREREREREpGIUfBIRERERERERkYpR8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiFHwSEREREREREZGKUfBJREREREREREQqRsEnERERERERmaGGD3+FU045juHDX6n1qojITKBbrVdAREREREREiuX222/mgw/eZ+zYMQwatFqtV0dEakyZTyIiIiIiIjJDjRkzttlPEalvCj6JiIiIiIiIiEjFKPgkIiIiIiIiIiIVo+CTiIiIiIi0i4pIi4jItFDBcRERERERaRcVke78+vbtQ/fulc9BaGjo0vizf//ZKv59ABMmTGbkyB+q8l0i0jEKPomIiIiISLuoiHTn1717Vx4a8nXFv2f095Mbf1bj+wC23LVfVb5HRDpO3e5ERERERERERKRiFHwSEREREREREZGKUbc7EREREZFObLa+venVvaEq31WLOj5jJ0ziu5Gjq/JdIiJSGVUNPplZT+ASYBdgHHChu5/byryPApuWTN7B3e+p6EqKiIiIiHQivbo3sPOdw6vyXaO+HwfAZ9+Pq9p33rHTIL6ryjfJjNSje69mP0WkvlW72915wGBgE+BA4Hgz262VeZcFdgMG5v49VI2VFBERERERkWk3eLWfsODAZRm82k9qvSoiMhOoWuaTmfUB9ge2dfdhwDAzOxc4BLi1ZN7ZgfmBF93982qto4iIiIiIiEy/xRcaxOILDar1aojITKKamU8rAT2BoblpQ4HVzaw0CLYsMBb4b5XWTUREREREREREKqCawaeBwAh3H5ub9gXQA+hfMu+ywEjgVjP7zMxeMrOtqrOaIiIiIiJSTpcePZv9FBERaY9qFhzvTRQZz8tel569lgFmBe4DzgB2AO43s8Hu/mJbX9LQ0IW+fXvPgNUVEREREZG8WVbfnLGvPU2vldev6vfq+r48tUtLahPpCG0v5VWiXaoZfBpLyyBT9rp07NRjgDPcfWR6/bqZrUoUKW8z+DRp0hRGaihWEREREZkOw4e/wv3338222+7AoEGr1Xp12tS//2xV+67uiyxD90WWqdr3Zabl+r6a7VIrapeWdC844xR9WwHtQ61prV2m53evZvDpE2BOM+vh7uPTtAFE9tOI/IzuPonodpf3NlE3SkRERESkom6//WY++OB9xo4dM9MHn0RERGZ21az59BowHhicm7YOMMzdJ+ZnNLM7zOzykuVXAd6p6BqKiIiIiABjxoxt9lNERESmXdUyn9x9tJldD1xuZvsQWU9HAQcAmNkAYJS7jyFqPf3RzIYCLwN7EoGqg6q1viIiIiIiIiIiMv2qmfkEcAQRTHoSuBI41d2HpPc+A3YFcPcbiMDUqcAbwFbA5u7+7yqvr4iIiIiIiIiITIdq1nzC3UcDe6d/pe91KXl9KXBplVZNRERERGZys/WdhV7dq3P52tDQpfFntYrLjp0wke9GjqnKd4mIiFRTVYNPIiIiIiLTqlf3bmx3x0NV+a4fvo+Rfj79fnTVvvPenbfku6p8k4jUSmcaSVNkRlLwSURERERERKQKNJKm1Ktq13wSERGRKhg+/BVOOeU4hg9/pdarIiIiIolG0pR6pcwnERGRAtKTVRERERGZWSjzSUREpID0ZFXaS1ly5XXp3qPZTxEREZl2ynwSERERqWPKkiuvxxqDmfDaK3RfWW0iUnRzztGHbj2qk5dRi5E0J46fzP9G/VCV7xJpjYJPIiIiInVMWXLldVt4cbotvHitV0NEqqBbj668deUXVfmu8aMmNf6s1ncud9C8VfkekbYo+CQiIlIls/XtSa8qdeGpxZPVsRPG893IcVX5LhERERHpPBR8EhERqZJe3Xuw1T1HVuW7xv/wNQCf/vB11b7zr9tfwHco+CQiIiIizanguIiIiIiIiIiIVIwyn0RERKRuDB/+CvfffzfbbrvDTF9ce7a+vejVvXvFv6c2XTQn8N1I1ZgSkfrTs1uvZj9F6oWCTyIiIlI3OtPIbr26d2ebO26q+PeM/f47AD79/ruqfB/AAzvvwXco+CQi9Wfr5XfhCX+QjW3rWq+KSFUp+CQiIlJE3bs2/ymARnYTEZHaWm7gKiw3cJVar4ZI1bUZfDKzvdr7Qe5+w/SvjoiIiMwIDWsOYNKrX9GwSv9ar4qIiIiI1LmpZT6dUfJ6PmA88B9gArAY0BN4A1DwSUREZCbRsOgcNCw6R61XQzqDrK5UFepLiYiISH1qM/jk7gtm/zezY4C1gJ+7+zdp2uzA1cBHlVxJERERKa5qFdYGFdcup/sag5j42ht0W3mFWq+KiIiIFFRHaj4dDQzOAk8A7v6tmZ0IvAwcNaNXTkRERIqvV/fubH3XJVX5rnHfjwTg0+9HVu07H9zx0Jm6uHbDwgvSsPCCU59RREREZBp1pArpd0C5ymjrA1/NmNUREREREREREZEi6Ujm0xnANWa2CfA60AVYHdgJ2GfGr5qIiIiIiIiIiHR27c58cvergO2BWYH9gV8ADcCm7n5rRdZOREREZEbq0a35TxERERGpuA5debn7I8AjZtYNmOTuUyqzWiIiIiIzXrc1lmHSa+/RsPIStV4VERERkbrRoeCTmR0MHA4sBCydRsD7Gjje3SdXYP1EREREZpiGRQbQsMiAWq+GiIiISF1pd7c7MzsC+C1wKjAhTX4U2A84fcavmoiIiIiIiIiIdHYdGe3uIOAAd78BmAzg7ncAPwP2qsC6iYiIiIiIiIhIJ9eRbncLAP8qM/0jYM72fICZ9QQuAXYBxgEXuvu5U1lmLuBt4Gh3v64D6ysiIiIiIiIiIjXWkcyn54F9c6+nmFlX4GjgxXZ+xnnAYGAT4EDgeDPbbSrLXATM04H1FBERERERERGRmURHMp9+DTxkZtsAvYCrgKWAnsAWU1vYzPoA+wPbuvswYJiZnQscAtzayjJbAmsAX3VgPUVEREREREREZCbR7swnd3+LCDZdSmQjvQWcDSzp7q+34yNWIgJVQ3PThgKrm1mLIJiZzQZcCRwAjG/veoqIiIiIiIiIyMyj3ZlPZnYOcIu7XzON3zUQGOHuY3PTvgB6AP2Bz0rmPxd42N3/bmbT+JUiIiIiIiIiIlJLHel2tyJwmJn9B7gFuNXd3+nA8r2JIuN52eue+Ylmtj6wLbBcBz4fgIaGLvTt27uji4mIiMgMoHNweWqXltQm5aldylO7lKd2aUltUp7apTy1S3mVaJd2B5/cfUsz6wvsAOwM/M7M3iECUUPc/YOpfMRYSoJMudejswlmNgvwJ+BQdx/V3vXLTJo0hZEjR099RhERkSrr33+2Wq9CxU3LOVjtUl7R20VtUp7apTy1S3lql5bUJuWpXcpTu5TXWrtMz+/ekdHucPeR7n6tu29NjEB3E3As8F47Fv8EmNPMeuSmDSCyn0bkpq0BLAHcaGbfm9n3wHzAlWZ2ZUfWV0REREREREREaqsj3e4AMLOlgR2BnYDlgceI7KepeY0oHD4YeCpNWwcY5u4Tc/O9BCxZsuwzwO+B6zq6viIiIiIiIiIiUjsdKTh+KhFwWooIBl0J3OHu/2vP8u4+2syuBy43s32IrKejiNHsMLMBwCh3H0NJJpWZTQK+dPcv27u+IiIiIiIiIiJSex3JfNoU+CNR3+nzafy+I4ArgCeBb4FT3X1Ieu8zYF+U3SQiIiIiIiIiUhgdKTi+9vR+mbuPBvZO/0rf69LGcgtM73eLiIiIiIiIiEj1tRl8MrP/Aqu4+zdm9hEwpbV53X2hGb1yIiIiIiIiIiLSuU0t8+kE4Pv0/+MrvC4iIiIiIiIiIlIwbQaf3P363MveRIHxryq7SiIiIiIiIiIiUhRdOzDvIcAnZvaIme1jZnNUaqVERERERERERKQY2h18cvflgEHA88BvgC/M7F4z293MeldqBUVEREREREREpPPqSOYT7v6mu5+cC0S9BlwFfFGBdRMRERERERERkU5uagXHWzCz2YBtgZ2AzYAPgVtm8HqJiIiIiIiIiEgBtDv4ZGb7EQGnjYFPgFuBk939jQqtm4iIiIiIiIiIdHIdyXw6FbgNOMXdX6rQ+oiIiIiIiIiISIF0JPjkwNXu/nalVkZERERERERERIqlIwXHVwAmVGpFRERERERERESkeDqS+XQlcIeZXUUUGR+bf9Pdn5yRKyYiIiIiIiIiIp1fR4JPx6efl5V5bwrQMP2rIyIiIiIiIiIiRdLu4JO7d6SLnoiIiIiIiIiISPuDT2a2WFvvu/v70786IiIiIiIiIiJSJB3pdvce0b2uS27alPRvMtBjBq6XiIiIiIiIiIgUQEe60i0KLJZ+LgosCWwJvATsMONXTUREZOqGD3+FU045juHDX6n1qoiIiIiISBkdqfn0YZnJ/zazb4BbgAdn2FqJiIi00+2338wHH7zP2LFjGDRotVqvjoiIiIiIlJgRRcS7AvPPgM8RERHpsDFjxjb7KSIiIiIiM5eOFBw/tczk2YE9gEdn2BqJiIiIiIiIiEhhdKTg+Lolr6cA44ErgQtn2BqJiIiIiIiIiEhhtCv4ZGZrAFu6+9j0+sfApsCXwDXu/r/KraKIiIiIiIiIiHRWbQafzKw/8BCwCrAc8I6ZHQmcCwwDRgGHmtl67v5OpVdWREQ6h9n79qBn955V+a6Ghi6NP/v3n60q3zluwji+HTm+Kt8lIiIiItLZTS3z6XSia90S7v6Bmc0BnAY87u6bA5jZGcBZwA4VXVMREek0enbvydF3bFGV7/r6+wnp5ydV+85zdn6YOD2KiIiIiMjUTC34tDWwq7t/kF5vAfQCrsrNcxfwy/Z8mZn1BC4BdgHGARe6+7mtzLsvcBwxkt5w4HB3f6k93yMiIiIiIiIiIjOHrlN5vx/w39zrjYGJwOO5ad8A7e1bcR4wGNgEOBA43sx2K53JzDYFLieCT8sDLwIPmVl1+lOIiIiIiIiIiMgMMbXg00fAkgBm1hXYEnjW3b/NzbMe8OHUvsjM+gD7A4e5+zB3v5eoHXVImdnnBU5y9yHu/m/gZGAuYIWpfY+IiNSXhu7Nf4qIiIiIyMxlasGn64E/mNmOwMVEF7jLszfTKHhnAkPa8V0rERlSQ3PThgKrm1mz7n/u/pesO56ZzQIcToys92Y7vkdEROrIfGs0MNt8XZhvjYZar4qIiIiIiJQxtZpPZwFzAH8EpgAnuvvtAGZ2EfBr4H7g7HZ810BghLuPzU37AugB9Ac+K13AzDYnRtsD2KMk40pERIS+C3el78JTe5YiIiIiIiK10mbwyd0nAb9J/0pdA1zv7q+287t6E0XG87LXrdWMeh0YBGwHXGdmH7j7C219SUNDF/r27d3OVRIREZk2OteUp3YpT+3SktqkPLVLeWqX8tQuLalNylO7lKd2Ka8S7TK1zKdWufsbHVxkLC2DTNnr0a18x+fA58BrZrY2cBDQZvBp0qQpjBxZ9uNERKRK+vcv/vgQ03KuUbuUp3Ypr+jtojYpT+1SntqlPLVLS2qT8tQu5aldymutXabnd69mP4VPgDnNrEdu2gAi+2lEfkYzW9vMVipZ/p/E6HsiIiIiIiIiItJJVDP49BowHhicm7YOMMzdJ5bMezBwWsm0VYG3K7Z2IiIiIiIiIiIyw01zt7uOcvfRZnY9cLmZ7UNkPR0FHABgZgOAUe4+BrgMeMbMDgEeAfYmaj/tUa31FRERERERERGR6Vft4YGOAF4GngSuBE519yHpvc+AXQHc/XlgF+CXwBvAZsDm7v5xlddXRERERERERESmQ9UynyCyn4gspr3LvNel5PXdwN1VWjURkZne8OGvcP/9d7PttjswaNBqtV4dERERERGRdqlq8ElERKbd7bffzAcfvM/YsWMUfBIRERERkU6j2t3uRERkGo0ZM7bZTxERERERkc5AwacKGD78FU455TiGD3+l1qsiIiIiIiIiIlJT6nZXAeoaIyIiIiIiIiISFHyqAHWNEakvc/TtTo/uvSr+PQ0NXRp/9u8/W8W/D2D8hLGMGjmhKt8lIiIiIiLFpOCTiMh06tG9F1fduHnFv2fUdxPTz0+q8n0AB/7sEUDBJxERERERmXaq+SQiMyXVThMRERERESmGusp8mmuOXjT06F7x76lF15hJ4ycwYpS6+UlxqHZaS927N/8pIiIiIiLSGdRV8KmhR3e+uuIvFf+eSaO+a/xZje8D6P/LPQEFn6Q4VDutpeVW7oq/NQVbrkutV0VERERERKTd6ir4JCLSmc23YFfmW7DWayEiIiIiItIxqvkkIiIiIiIiIiIVo8ynCpilW/dmPyUMH/4K999/N9tuu4Nq+HRSfefoQfcePavyXbWonTZh/DhGjhpfle8SERERERGpFwo+VcAuy63CA+++yTZLLV/rVZmpqIB059e9R0/u/fOWVfmuH74dn35+UrXv3G6/hwAFn0RERERERGYkBZ8qYNDABRk0UIVZSqmAdHnKCBMREREREZEiU/BJpMaUEVZe9+5dgCnpp4iIiIiIiHRWKjguUmPKCCtvrRUbmH/eLqy1YkOtV0VERERERESmgzKf6txcc/SkoUePqnxXLQpITxo/nhGjxlXlu2TGWnT+riw6v+LjIiIiIiIinZ2CT3WuoUcPPrv86Kp816RRXzf+rNZ3DvzVOUDHg09zztGDbgUe1W3i+HH8T6O6iYiIiIiISBUo+CRSRrcePXn5qm2r8l3jRo1JPz+t2neufuD9aFQ3ERERERERqQb1aRERERERERERkYpR8Emqple3hmY/RURERERERKT4FHySqtlp2flYpv9s7LTsfLVelZlKz+7Nf4qIiIiIiIgUiWo+SdWsMrAvqwzsW+vVmOlsulwP/u4TWM8UfRIREREREZHiUfBJpMaWnq+BpedTV0QREREREREppqoGn8ysJ3AJsAswDrjQ3c9tZd5dgROARYH3gOPd/f5qrauIiIiIiIiIiEy/atd8Og8YDGwCHAgcb2a7lc5kZusCNwJ/AFYCrgHuMrNVqriuIiIiIiIiIiIynaqW+WRmfYD9gW3dfRgwzMzOBQ4Bbi2ZfW/gTne/Or2+2My2AXYFXq3WOouIiIiIiIiIyPSpZubTSkBPYGhu2lBgdTMrDYJdApxWMm0K0KtyqyciIiIiIiIiIjNaNWs+DQRGuPvY3LQvgB5Af+CzbKK7v55f0MyWAzYGrqrCeoqIiIiIiIiIyAxSzeBTb6LIeF72umdrC5nZPMDdwDPAPVP7koaGLvTt23saV7Fzq9ffe2rULuWpXcpTu7SkNilP7VKe2qU8tUtLapPy1C7lqV3KU7u0pDYpT+1SntqlvEq0SzWDT2NpGWTKXo8ut4CZLQA8CkwCdnb3yVP7kkmTpjByZNmPo3//2dq9sp1Ra793W4reJqB2aY3apTy1S0tqk/LULuWpXcpTu7SkNilP7VKe2qU8tUtLapPy1C7lqV3Kq0RMpZo1nz4B5jSzHrlpA4jspxGlM5vZYkS20xRgA3f/piprKSIiIiIiIiIiM0w1g0+vAeOBwblp6wDD3H1ifkYzmwt4DBgFrO/uX1RrJUVEREREREREZMapWrc7dx9tZtcDl5vZPkTW01HAAQBmNgAY5e5jgDOAfsBOQLf0HsAYdx9VrXUWEREREREREZHpU83MJ4AjgJeBJ4ErgVPdfUh67zNg1/T/XYDZgVfT9OzfZVVdWxERERERERERmS7VLDiOu48G9k7/St/rkvt/v2qul4iIiIiIiIiIVEa1M59ERERERERERKSOKPgkIiIiIiIiIiIVo+CTiIiIiIiIiIhUjIJPIiIiIiIiIiJSMQo+iYiIiIiIiIhIxSj4JCIiIiIiIiIiFaPgk4iIiIiIiIiIVIyCTyIiIiIiIiIiUjEKPomIiIiIiIiISMUo+CQiIiIiIiIiIhWj4JOIiIiIiIiIiFSMgk8iIiIiIiIiIlIxCj6JiIiIiIiIiEjFKPgkIiIiIiIiIiIVo+CTiIiIiIiIiIhUjIJPIiIiIiIiIiJSMQo+iYiIiIiIiIhIxSj4JCIiIiIiIiIiFaPgk4iIiIiIiIiIVIyCTyIiIiIiIiIiUjEKPomIiIiIiIiISMUo+CQiIiIiIiIiIhWj4JOIiIiIiIiIiFSMgk8iIiIiIiIiIlIx3ar5ZWbWE7gE2AUYB1zo7udOZZl1gJvdfaEqrKKIiIiIiIiIiMxA1c58Og8YDGwCHAgcb2a7tTazma0A3IEytEREREREREREOqWqBXXMrA+wP3CYuw9z93uBc4FDWpn/QOA54ItqraOIiIiIiIiIiMxY1cwoWgnoCQzNTRsKrG5m5br/bQrsBfy+CusmIiIiIiIiIiIVUM3g00BghLuPzU37AugB9C+d2d13dve7q7VyIiIiIiIiIiIy41Uz+NSbKDKel73uWcX1EBERERERERGRKqnmaHdjaRlkyl6PnlFf0tDQhb59e8+oj+tU6vX3nhq1S3lql/LULi2pTcpTu5SndilP7dKS2qQ8tUt5apfy1C4tqU3KU7uUp3YprxLtUs3g0yfAnGbWw93Hp2kDiOynETPqSyZNmsLIkeVjWf37zzajvmam1Nrv3ZaitwmoXVqjdilP7dKS2qQ8tUt5apfy1C4tqU3KU7uUp3YpT+3SktqkPLVLeWqX8ioRU6lmt7vXgPHA4Ny0dYBh7j6xiushIiIiIiIiIiJVUrXMJ3cfbWbXA5eb2T5E1tNRwAEAZjYAGOXuY6q1TiIiIiIiIiIiUlnVzHwCOAJ4GXgSuBI41d2HpPc+A3at8vqIiIiIiIiIiEgFVbPmE+4+Gtg7/St9r0sry1wHXFfRFRMRERERERERkYqoduaTiIiIiIiIiIjUEQWfRERERERERESkYhR8EhERERERERGRilHwSUREREREREREKkbBJxERERERERERqRgFn0REREREREREpGIUfBIRERERERERkYpR8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiFHwSEREREREREZGKUfBJREREREREREQqRsEnERERERERERGpGAWfRERERERERESkYhR8EhERERERERGRilHwSUREREREREREKkbBJxERERERERERqRgFn0REREREREREpGIUfBIRERERERERkYpR8ElERERERERERCpGwScREREREREREakYBZ9ERERERERERKRiFHwSEREREREREZGKUfBJREREREREREQqpls1v8zMegKXALsA44AL3f3cVuZdCbgSWAl4GzjI3V+u1rqKiIiIiIiIiMj0q3bm03nAYGAT4EDgeDPbrXQmM+sDPAS8AKwKPAM8aGazVXFdRURERERERERkOlUt+JQCSvsDh7n7MHe/FzgXOKTM7LsCE4Aj3f1t4HBgVJouIiIiIiIiIiKdRDUzn1YCegJDc9OGAqubWWn3v7WAZ919MoC7TwGeBdauxoqKiIiIiIiIiMiMUc3g00BghLuPzU37AugB9C8z76cl074AFqjc6omIiIiIiIiIyIxWzeBTb6LIeF72umc75y2dT0REREREREREZmJdpkyZUpUvMrNdgCvcvV9u2jLAP4F53f3L3PQHgbfd/ajctHOAFdx9q6l81VfAhzN05UVERERERERE6tvCtOy51i6ltZYq6RNgTjPr4e7j07QBREbTiDLzDiiZNgD4rB3fM00NISIiIiIiIiIiM141u929BowHBuemrQMMc/eJJfO+AAw2sy4A6efgNF1ERERERERERDqJqgWf3H00cD1wuZmtYWY/Bo4CLgYwswFmNkua/Q5gVuASM1sWuBCYHbi1WusrIiIiIiIiIiLTr5qZTwBHAC8DTwJXAqe6+5D03mfArgDu/i2wNZHtNBz4EbCVu39X5fUVEREREREREZHpULWC4yIiIiIiIiIiUn+qnfkkIiIiBWVmuq4ooTYRERERUfCp0zGztWu9DiKdmfahtpnZnLVeh5mR2mXqzGwed5+sYEsTtUlzaofy1C4tqU3KU7uUp3YpT+0iM4qZrTAjPkcbZCdiZk8AV5nZT2q9LrVmZpeb2f61Xo+ZjdqlbWb2ONqHWmVm9wFnm9nctV6XmYnaZerM7AXgczMzBVuC2qQ5MzsFWLfW6zGzUbu0pDYpT+1SntqlPLVL+5nZBWa2Za3XY2ZlZg8Al5nZptP7WXV9IdSZmNn/AUsBHwD7mdmuNV6lmjGzt4C9gAPNbL9ar8/MQu3SNjM7BlgS7UNlmdm1xCAPewFnKtASzOxS4uJN7dIKM7sY6AbcAzxvZkvXe7BFbdKcmT0FnABcY2Zr1nh1Zhpm9jRql2bUJuVpHypP20t5apf2M7M3gF8BJ5nZFrVen5mNmZ1H3B9MIu4xN5uez6vLi6DOxsy2Bx509wWBvYHRwM/r+Ob5fmA94HHgYDP7eY3XZ2bxAHGTrHYp70p3XxjtQy2YWQNwh7v3I0YX3Qc4q94DLWZ2KPC8u8+J2qUt5xHt83PgCeCFeg+2oDZpZGa7E0G4BuA94FbdDIGZGXG+VrskZrYMTW3yb9QmgPah1mgfKi/tR4+gdpkqM+sDvAZsDrwOnKIAVAuXuPtcwMHAnExnAEqj3c3kzOxV4H3gJ+4+KU0bCFwGzApc4+5DariKVWNmCwGfAxPcfUo6uP4C2AC43N2vqeX61YqZ9XX3kbnXyxI3PBtQx+2SMbMTgdfd/d7ctLrch8oxsz2Bu9x9dG7aYOBvwPXA79z9m1qtX62Y2YNEMHdpd/80Tav7dslLGZZdga+y/cvM5gUuATYD1nL3d8ysq7tPruGqVo3apDkzu5nIAPupu09M054AFgd2dfcXa7l+tWJmPQDcfXxumtqlZL8ws78Bi1LfbaJ9qAztQ+WZ2V+B04GX3X1Cmlb37VKOmfVy97G512sABwHLASe5+8M1W7mZgJntDMxOBOXecfcfzGxl4AJgJHCVuz/a0c9V8GkmZmbPAD2Bjd39u/S0dEoKvNTVzbOZ3QYsDUwAhgEHpnZYkjhQbEAdBlrM7I/AEsB44EHgUrVLk5Sh8h/gZeBCd38g915d7UPlpBPtC8BxRGbY/7KL/3oOtJjZUGAuoDdwtLsPMbNu7j6xntslz8yeBOYDRgHLA1u5+9PpvQHAxdRZsEVt0ly6hvkR8CWwIhGQm5Lee5w4d9XdzZCZXU9sJ0sBx7r7Tbn36vIm0cyuJp6orwRcBbzg7kPTe3UbgNI+VJ72ofJSV7v5gJXcfXR23ZLeq9t2KcfMzgJeJHoWTchNX43oglfXAajUzXdOYB7gXeAEd/97em9lpiMAVVep352Jmd0NzA8Mdvfv0uQs8NTV3T8Dfg38QMG7D5nZn4EFgSOJG76/Zidfd/8X8CfgKeBX9dTVzMzuJ25wrgG+An4CLAD13S6ZtJ98AzwJGPBTM9s2ez/tQwcD31PwfaicFMz+iPj9TwMON7NZs25B7v4csCHRTbFuupqlwFMvYB3ihGvprUlm1lCv7ZKXuoD0BdYANgbmyYIsAO7+ObFvPU6ddDdTmzSX9qPewCAiY3n2dP2SZStsQnQHGVJP3UHStZ0R5+1bgBvNbOnsfXffmKhLWDftYmZ3EUGnIcDVwHbA8Wa2I4C7b0idtQloH2qN9qHyUqCyD7BylsmeHph1Tf/fmOhJU1ft0obViO7xG5tZt2yiu78CXA68RZ12wTOzA4F+RPb/MsDPc4GnLu7+GvBb4pqnw13wCnnR09mZ2YLA3MDtROYTKZPleDO7Afg/M1ve3T8GDqXAASgzm4V4snGZuz/m7hcDT5nZ0ma2atoJ3iYuWJ6iTgItaXtYkMgAu4k4CCwMLGNmy6Wb5Lprl7xcRsEw4J/EPvVLM9suN89nxD5UdwEod5+cfv9bgD8T2U8nWnTjzAegNqZOAi1m9iJxzF3f3UcQgcsdzKyfu09xdwWgwnxAD2C0u38PLGBmJ5vZlWZ2qJnN7u5fEdmXj1EHwRbUJo3M7DliPxqcLlJnBfaE6CKTXejX281zyradG9jP3W9192OAZ4G5zGxBM5sD6ivYYmYLEA/NDnP32939XOB3xNP20y26fWRtUjc3ztqHyksZpNqHSpjZSUSG3Pru/kOaNmfavxYxs94A7r4RddQu5ZhZ9/Tf/xCZYH8GNsufhxWAog8R8P7OU1kXMzvMzH4P7G5m/d19GHA00xCAKtQFT1G4+0fAhcSJZmMzm5Po5rECcZLeiiget2oKQBUye8PMuhDbaAOxI2BmqxA3hA8QwblhZjbA3d+hvjJ95iK2hVHp9SLECfly4GGat8s11E+7NLIoog3wMRF82oOom7CXmf3YzC42swXc/RMKug+1xcwa0gXsXMDTRJDpSCK4PQewS8qEGkodBFpSW/wd2CD1a+8CvEHcBM2Z5ulazwGo1CYQGWHfA3Oa2RJEMGUNoD9wFnCdmS3q7l8TGbqPUvwR39QmgJltA0wm9qNxaZt5kLh+yZ6aTixz81wPBXG7EF2n1oHGrgs/Irp/vwn82SKDLrt5roeC292JbWMRaNw+hhL7x5zAvpaGP083zoVvE+1DbdI+VN6NxP3AkdBY+/VJ4K/E9e/FWXCgztqlhVwXu4WB3xAZl7cAW5YJQGXb1anZcahOTAaWS5mW/Ylr43WJUi6/BO4ws4GpjY6igwEo1XyaiaTI9BR3H5Ne/4YoGncb4MC56YnHKsAxwHfAIe4+1szmAy4luovc4u431uSXqACLbK8VidTja4FPicBTD+BsIgizbGqbpYADiR3kUne/tiYrXQVm9ieiPZ4DbiCGwLyE2AbOBAYAy6Qbm7poFzObFfgh65aZpi1CbC/rEBezNwJrAm8D67n7uDRfYfehtqRg2ybuvr+ZbUoEL78lRtY5AJiYTkA/Ii5mriX6wX9Rq3We0cxsPk9FxdPrxlo8FqnsH7n7T0uWaUiBqMK2S56Z9QK6ufv3aZ96AbiSuCjZHjg8tccSRDDzHnc/OC2bFdzekNjn3q7BrzDDmdlC7v7f9P/FiGNxXbdJnjXVj9uACCZs7O7P5N4vrUeyGLAr8IoXqBaWxYjFT7r7t2Z2KnEufoGo/3Utcd5ZGNgNWIioJfdCWraQ7ZLa5In08mYiC+Hc9PAVMzuaqPPZlagrclzKKCxsm+SZWY90TdslnX83oI73oTwzO424NqnrfQga96OnPep1bgVcB5xBtMs7xP3jgsB+xHXdse7+flq2sO0yNWbWk9hmHnP328zsOmAH4KfAQ9580IOsBtTywIle0BpQZjY7MDld481BBC6fBr4mau4dRgSlNiZ62zhwZDpOrUzUgPoGuM7d/9rWdxXiSVsRpEDCXcBfzexWM5vL3c8jMln2AD7zNKKDu79KHHTXJbKCSDdOexF9WH9iZrPV4NeYIcxspxRpzRwDTCEuUOYmhoQfnk4suwJjiCfJuPu7xMX/w0TK9k5VXfkKKtMuh7v7synQshdwsLsPc/dngd2BcUT7FLpdMmZ2LXGwfNDMTs9lPk0kgk7zetRdGUC0zTfEjR9QrH2oHGvqAnSCma2Te+sHYCMAd3+MeCI2O3HB382b6sw9C6xOXPT9Ite+nZqZXUykVS+cTUs3zNnvdx0wfzq5Nmb/5DKgCtkueRbFXe8F3jKzvdz9P0T3sROIc9TE1B5d3f094P+AnVJAlxSQ25fIcrjdzLrlsqg6JTM7E3jMzFZM28H7RFChLtvEzPYxs2PNbGMzmwca96MuRLeYu4m6e7Nmy5Rkb2xMdHG4A1i1+r9BZZjZcCI78oc06UbgVOAL4uL9THf/p7s/BJxPHHuXyJYvYrvk2mS0R03TO4ib5d+a2UFmdihxA30pkdG+F6meJRSzTQDSuXknaOxa1zWdf+t9H9rczPa0GPEaIth0GnW8D0HjfrQXEVSCeAj2e2Lf6gGc4u4vuvsdwDnEA9jC70flmNnW6dy0BkB66HwD8Eh6vQ9wJ3AT5TOgLgdeAS4ruX4uhJTk8Thwv5md5O6jgPuJous7EwMdTPIoP/E48aBtbaI3CR5dgw8ANiGOUb3b+j4Fn2YCZnYLUdDrMuAvxM3xa2knGUIcNG4rWexNIhrZPX1GF+IGqB9wvDcVKe9UUhbB6cDeZjZXmvwNcUBdiMjc+TzNmz0RGwHMkn2GR7HthYlCja9XadUrqpV2yZ4Cdk8HhKyfdxeauuM1dgUqYrtkzOwm4qnE1cBrRFDpH2Y2v0fX1EeATc3sFeIJ66Zp0RNT2xZmHyrHYujdHYkg7o+JFOLzATxGAHzTzBYys5eJi5GfEk96LjSz3rmnQFnx7XvcfVJVf4nKmZUI0h5kUUstk/3O9xNd7w4EyN0MkGuDIrYL0Ky467VEavp1Zrasu99D1EtbCFjYzPrktpNxwH9pOg5BXMBMBPZy94n57MRO6nVgSeBcYLmUoXAvcAhxnF2wXtrEYjSyw4jjxuk07x40xaObw1PAFqSbnyxIm795Jm6wFyBuKjs9i6zJ7O87CeI87O6XAccSA4UsmM3v7m8Qo5qtlJYvXLu00ibXE8GE/sTDxoPS+8NSls/nwLJp+cK1CYBFt+3fAgdbdLtrDN7W+T70GHGMPRcYambrufv77n4pdboPQbP9aO/0kKOLu48lHsBOIM43P+SuVZ4mfvfV0/KFbJdy0vnp98AVwENm9gczm9vdn3H3URZZ3bj7fkQSyF+ALfIPElMAah4isPlpiy/pxFIMYkngIuIY81566xLimmV1YHBumwF4idj+euamLUt0vzvbU8H71ij4VGMpk2V5InJ/v7tfQ9wcfkQUQevq7r9z9+/MbD0zW8YiXf8IIugyCuKGiHgCsIi7d+bAwjvEzf+eRP/RfilCfS8RkR5DPDkEGqPXXYGx0KzOT09gi/TEuQhK22Xu7CY4XZSQZW6kbWE00S0zC0hl+3rR2iVLFV0CON3db3T3Y4l2+pyoqbIIEaS8mtivfpai9EcQw6w+D4Xah5oxs2WIehq7uvsviZTZu4h6ctm+NBcRlPsK2NfdhwA/I45NWTfgBmL7Wc7d36rm71AJuX3iZSJ4PRjY38wWh8YgU4O7f0k80dnLzH6RvZf7nEK1S56VL+76HDCHRSHTO4ig3LbABWa2pcWoQwcSDw3yFyDDieK5w6v6S1TOO0QtjRWAW4Fl04X+1UQNhO2B84veJma2G/HAbH2ie/wO7v4ENN9P3P0Kos3+kl5PsqZRmCam7WkxYDVPXRk7MyszYnH2+6afI4DxxIAGC6XpfYhj0ftQvHZppU2yJ+d/ITK2VwFWd/eb0/tzEOeg7Fq3UG0Cjd1Ty47Mm85D3dP/620fOoXIWt/M3ecjbooPSu/V5T4E5fcjohYW6dp1b+I4PInIgMqukyEFTorYLuWY2X5EwGgt4qH09kRvoqvMbBCAR+ma7Di0H5EB9QBRsxEz65r2wQWBrT11WyyCFPReCjjZ3W9291OAey0GPpvV3Q8lEmAWAa43syXMbHniIduXxL1VxoGl3P3NqX2vaj7VULpQXYiIIO7h7o+bWU+PAoNnEk+APiJS27oQO8QaxM1SF+BH7j7BcvVJOjuL0WBeB14lIqh3A9e4+1cWqcZbEU/IehIn4dnTfCumg2lh2iKvlXa52t2/SdtRb+AU4sD6NBGMmQtYpcjtAo11nh4h2uM6a6rF04dop3mJm+NtgSHu/nU2T+4zmr0uEosacfcTFxhZ1mAfYl86iai78TzxpPD8tE01214K3j5LECfX54iA2xPAWR6FobN5GoiAwlFEEO/JWqxrtaXjztvAb939jxZdD4cD/yBqADxGpK5/DlxFHHP+R9wobpKdn4hahoW52EjH3PmIbOX9iePMXMRN0sfpQcCixJPEvsQFWiHbxMz2JbIk107nmqWJuitLEvvU4+7uad4lgeuJFP7tynzWLJ5qXnZm6cL9JuK4eqrHAAZL0tQuw4ms9lWIrmUfEDeF8xIPmdbwVMcnfV6nb5eptIkRXVoec/e3LIogH0DsM0sRwc01S87Znb5NSpnZiUQ5jclEDc+rPLIp8/MsQRxzC70PAZjZn4nf8+j0+mRgZeAz4kZ3CFEL9hLqYB+Cdu1HLwOPuvvbZrYPUVLhY+L6bgFg1SK2S2vM7Bhge3dfKzdtKeKc/Q7Ry+HtNL3xOtfMjiVq0E20prprhbuPshjQ7O/AaR61r1Yhuhj2I8r6DCUCTTsQ1zqrEteEo4ENpzUGoeDTTMDMngK6uPv6uWmHEd2qdgZmd/fB6aCzHHFCfindYHfLH0g6OzPbiOizvTZwPFEHIB+A6kqMfHcwsWOMBf6QDhBFvkFurV2yAFQDkfJ4KJFu+z1wQtHbJWNR72ktd18mve6Wfvc5iTTkH4DNi94OrTGzt4mCtwfnps0C7ERc5D9NFMsu1Il1atLxZFEiOLcesA1xI/13ItB/qbvfluZdmujycEk9bUdmdjqxjTxP8+KuixDdFRchuluNJh4GdAfe9+gyUqjzUymLLiGXELX0niOeuI8D/uLuF6anirNS4DYxsx2JgNJiRBbCW8TxZB6im+88wD7u/pqZ9SCeyq8G/NKbivp3KUIgLi9lrlxJjAz0DDFy5nPERf0UoovZFsT+szXxIPJfRBb8xHROn1ykdplKm0wCBgI/IbK29yK6e3wEHJFucgrXJtC0/acsjZWIB6w3E+1wPVFH5Sx3/yxlaOxLfexDZwOLu/suFlm4nxLH2l5ErZnZgC2BxYmHaYXfh6Dd+9GOxD3BvkT20wfA/xV5P8rLPYTejhgB8Bfu/m5u+pLAQ8CL7r5HWqYL0dsoH+TOF/Qv3D4GYFF4frS7b2tmDxBlfR4nrlsuBdzdt0rzrkqU/Ploeq5nFHyqIWsaCWYtoqjiSOKAsjBx8tmASB29iygm/XLJ8oULKlikWB/gUWwdMzuDOPHeDfwpn41Qslzh2iJP7VJebh+ag4jQf5Q7SGYBqDWBC4lRPp4u6gmknNyJdg/i6cVNHrUSsvfnBI4mnpjtUqSb4o6wqBl2k7v/1cwOBs4jaiBs5+7/KDN/YfcrM/sp8YT0LSIrdxLRjXUF4mZwG486apjZCsTN0UXufkPJ5xTuKWEmt19dDox19yMs0vK/IS70N/A00lLJcoVrE4vuHH8hnq6/Q9SvPDQde1cjhrKeAByYntL3BMYX+Ely4/nFzA4HziJGWy0dsfg4YIS7H1DmMwp1fOlAm/wOGOXu+5f5jEIFbcux9o/M2wsYV9R9KJOyvOZy95csBoDZBrjLo3fI6sT28olH16DSZQu1D0GH9qNjgf+5+wGWetPkPqMe9qOHiPb4W9qnniACTb9O9wvZ+XtZojfJUe5+SQ1XuSZy90/LA/cRbTSAGCny3TSPEYGoEzx6luS3wWk+9qjmUw1YUwG47I/2CtHd4zui4OBeRDe8vxOZPQsSqdrNFO3ACuBRYf/83OvjiA1/B2IkqbmgqQ1z8xWuLfLa0S5zQ320S/53zPah1D6HAvOZ2V1pWnaCfZfoIrNkml4XgSdo9vd/nCgsuYOZ7Z97/39EEeltiPT1etWF6O4AcSz+N/EwYPd08m2miPsVNGbyHEYEm44n6hf1cfeLiQv9L2lZ3PULUoHpvKLeEEGzv/9DwFzpZvBZ4unzP4ErLI2OWLJc4drE3b8lLlwXIWppjMuOvR5FWv8O/IjIVsDds5vmLgVtj/yABL8nHijuAXzqzUcsfhbYwKILdOlnFOr40oE2eR5Yv7RN0rZS9BvmLkTWZHtG5h1b5H0o4+7vuftL6eUPROmRbHt5mRj1e5OUUVm6bKH2IejQfvQcsKHFYDH5wFM97EdPE5lwLwJ4jMy7L1Fz8cQ0LRup+J9p2jZm1ttyI9zVg9yx432iIPuPiNqNn0Jjz4DPiEyn3mmZKWWW77C6auiZRenNr8coN6+6+5ZE3QRz91vS2yOIqPZX1V7PWslHVdPr44jaIj8GjjSz2eshgFAmkNRWuxxRL+2Sa4cu+Z/ExfyxwBJm9nczm9Wia9ko4gA6thbrOzPwGNb9UiIQt4eZHZ17+yuintgP5ZYtGsuNYJLbdv4CzG9mrxJPDFcg2mtPIsOw8CxqI8wNbOnuKxLDwc9DdIOBGNlkLLC9tVLctWhSRmWLY3HO18T28Q8ii2ULdx9EtOOR1VnL6is99rr7n4iL/SWB9VIXmczLxM1zflScQj4EyLVH/ne7icikvL1k9jeJY2/36qxdbU1PmxRxWynlMaLdZ0S3sjZH5s0vU921rCxrPppWM+4+OQVY8vO8ThyDe5Zfqng6sB99SSo23sqyhWMxAmAfotbtaDPrkgJufyeCdMeZ2VlmNlsuOPkdsf2MKXIgty0eI9PdTgR3ZwP+kKZPTg+XxhHXfzOMut1ViZldQTzR6A/8xktGt8mnr5nZesAJxJDxqxGFTAcVJZKf0mX7EsGCMW0dEEva5RLiIHFgEQ+iFkXw5iUy4SalFNqyaY311C6Z1NWwD/G7ngt86CX1DtLFy4rEkKrzEl1BeqblVizyUx+L4ZlfdfdPyryXtc9CxFOgnxABueeJWkezEiMMFe7ka2aHEr9fA1ELYnLpfpVS1YcRmSx7powwLOoFPFCUY29b0nGkwd1/lZt2E7CYu6+dXv+cGAjjQ2L7KVvctQgs6o3MQ5yvv7FWuuua2aNEgPvn6UKtbO2Izs6i7uAY4Gt3/1duev5cdAxR+PYL4Eyiu93xxE3QpkU8P5nZ2qTsFHf/sLXtJM27HhFcGQFcR1zQ/7ho7WLRHfdboo7IV7nzT4u2qZc2gcZ2GQ185+5flnRhydroYqKL/L3EyLMjrWm0zCMLeo4+wt0vTP9vtbtcun7Zgahz9B1wMXGM2a7A24v2o3awKNZ/MjCbu2ejfM9JXPv1cPd/m9kmxH51G9EV7x/A2USN3F2L3FZmdjvwlruf3MY8/Yh7g9OJkSX/TfQa6c8Mvn9S5lMVmNmDRPHa14jsgrVz72VZLPkTyjNE5Hq29HPVLE2wWutcKWb2MFHf6h6iK9Dybc2f3Sim/x9KCrC08SS6U0rbyJ+J4T0fAs4zsznT79/i714v7ZJJN3jbECeSZYh064PNbH5oSkdOWYTD3X1N4gB6J3GiyUZD7PT7UDkWtVWuAnYzs3lL38+1z3+J+ld7EqOSLUacYNbKb1NFkbqR7U0E2H4GvGExusvkfPZGSlX/EfBTd/9ftp24+71FOfa2w3fAxmY2S+448gLRrSw71lxDdMvL6hkNJQWeCthGSxIXYseb2YA2jq9HAHvnAk8NKYuhMNtNOv5eRWQIPm5mi+SvXXL7y9lE0GkkcR67iOhut2Vqv6IdXx4EriGeGt9jZqu2EXhanmibt4huinMDOxbtvJ2u8W4DngIeMbPGG+DS37Ve2gTAzO4n9p/HgGvMbMlWtpVTiZvo/VLgqcHd33H3wwt6jh4MnG9RP4+pHDcXIgppv0IUZJ8D2Kmg24v2o465gXgIdCSART2nJ4kBh96yGDnxY2KE0dmIfewWYpCUPeqgrRqI7MmDW5vBo3bwlcSIks8T3e+eogL3T8p8qjCLIZdvJy5O385NbyBGuMsPednWE7NOXyTOzM4BNiZOHmOIG5j73P3w3DztyfQpVMHo9IR9C6L73DhiBKldiJvBPbKb4XJPg4rcLpmUEfYX4iLjozTtRGKktgeJ4Yg/TNPb2ocKV4AyY2a9ia5PY4juYje6+5dl5iv0MSbPoiDnHkRQaTLRZ/0F4AV333cqyxZyX2qLmW1IFLq91psKiu9HZBkuThTWHtfKsoXZt6ypCOeBxI3gC8B/gdPd/QtrKlZaqP2lNRZDTm9PnJ/mBaZ4rgh/7ml8s23AYjShEUQ31iKO8nceMJg4Xy9J1ER7xt1PS++Xy05YDFiaCPwXbsRiMzuNuJb5KREoWAc4iegOf7FH947SZQrdJgDpxndp4gHImkR9ygvc/Y70ftmh3OvhPGTRRfcNovv2A+6+W5re2jVvb2LU75HAvwt6bNF+1AG5c/JWRNbXGcTIvO8QAbwFgZ8TyR97EYGYWYjAUyFHoS1lZr8h6lv1IUa2Ps1KMi+h9a6ZM/oaT8GnCkvR19eBLdz9CTNbjhiaeTZiwz8XeMjdP80ts4W7P1yTFa4gM/sj8IG7n5Ven0Ta+YnRPIa5+6jSg0DRT8Bm9heiYOBv0+uuxNP0c4n+/z/z6PZRenFf6HbJWKQevwxs4u5Dc9MPJbJa7gGu9NyIf2a2ubs/Uu11rRWL9OJhRKbkKkQ6+vXlAlBp/kU8CjEWlpmdQPT93zEXUDibCEZt0MqF7YJZgLMeWdSN+zb3+kDiondxdx+TLlDOIEbYLGSdp4zFKJkXExk8GxEp+keWC8CZmbm7V3kVq8LMriKKzu+ZXi9M7EN9gVe8qSBwW59RuBG5zOxm4sbl+PT6aqIL0FDgE2Do1C7WixS0hcYgyzh3/2Vu2s+IETFPIQK4k+rpIVF60PwwMZrqdWna48Tx5DXgX+7+fJpeF9d0mdQ2U4BHiQDUKsCX7v6T7P127ENFPLZoP2qH0t/fYuCPw4mH998QD6yzjOT1iWy5Pdz9qZLPKdw2lMkFtrcl2uVWouvhae5+apqndETENdpzXp8ehUrfnEn9h0izXcnM5iMyOP5JBBYeJKXsm1kvi+JovyO6ExUx/W8K8DMzm8/M1iJqQaxJHCzOAu4ys7lTel8XM/urma1fByfj7sQQ5kBjF8x7iGDCJOACM+uTnUjqpV3SNtCFCE4+QoyCM3v2vsfQqDcTXch+lJZpSPvQIQXdh1pIF3DLECnH2xHd6g4hjivzlJn/JuAXVV3JKrKmbgmzEN2d892a/0FkKcxdZrmbiLoadSf31Cu7UMvacA5gsruPSa//SmTBfFjtdawWM+tqUTtuBFEL4nzigs2I7iEvmdnmufkvIGrMFUpuG/iG2Jey7h1PAf9H7CvPm9lvS5a7KN8+UKxR/tL20Z3YNuYzs0HpoeLuRPfew4C/AeeaWf/ccheZ2Rb5zyrKzaE1dcf4ApjDzLqlduri7jcSdcBOAvYvWe4PRW0TaGyXOYmMwayb99LE9comRP28odk+lMtCaLEPFU3aNialY8PrRHbyRcByZnZ9mm39kmWKfmzRftQBpfdA7j6WKF0ynhgc5Yfctc3TwOfAqmU+pzDbUKlcGw0nrodfJ438Z2YnpOvexvtPi6y7o1t80Aym4FOFpfTI4cTN4PJEBsdx7n67ux9BRLL/D5g7bST3ANt7MfufXkRcsL1O1HsaQjxRNiKaPxk4Jv3eA4gsjudqsqbV9QAwi5kdZE2jfaxBdMG7i6jLswZACmC+RcHbxXL1EDyKB75ApMuulztB41Gk8hHgYjPrlU6491DcfQgAMzvKzH4MjRcZHwBXA908huC9hEjtLxeAuofo7144ZjZH7kLibKIOy6K5WSYR3e/K9V2/lzgOFZqZrWBmC2c3xuWenubacAww2cz6mNlDxLFoJS9QPSMAM1vHzNZNGUyTPWrH/Yso2rqeu19OHGf2Im4k/51b/FQixb9osm3iaWA7i26ZqwJ3EN3nVyUGLzjbzHYGMLO5gQWIYq5FNcXdJxDdOTZKP4cBNxL1z9YguigeQHTJy7fL4zVZ4wrL3eg+R5RV2CEdQxpSVsFtwMHEeXqNdG6eC5ifgrYJRLukjOyziCAuxH3AxURXqpVp2oe2BEjtUvR9KKtblN2DfkTcA91DBG9XMrNxNNXvabDI7i50u+T2o2fQftQqi9GsywZI3P0Noo22S+3ZIy2TPbj+tNxyRWJmO1huxNl0X/ktUcplUXf/M9EN8SQiwPtCbvGHaBrhuGLU7a6CrHl/yvuBrYF/Aeu4+1e5+T4GjnL3W3PTCpkGmHaIlYFfA9elg2n23unEjrC+N+/3XvS+uH2IbJWlia4MrxPZPDu6+z1m9jTwhrsfUrJcIdvFYtS2W4gi2G/lpl8LbEm0zdPpBoB0E/0isLu7v5ibv6j7UF/gfuLG+HR3fyJN7561SXp9FLGfXUKZLnhWsLRsiy5ig4HDvGm0uh4ewzNn82wPXEaMHvpFmnYBUX/j0/S6UO2SZ1HEdGGiCPT/gJPd/b425t+VKDTtxKiry7r7hCIde8zsAWBR4iJ1HmB/d78tZbfcBvzN3S82s5eJwOXXRLDhAs+NLFmU7cbMfk+MbrMgcXx5zKK+0d7E9ctf3P2K3PwXEzfU26YHBdn0QrRHppV2WYF4UHY88Gd3v96aujkcQ2RDrePu3+U+pzDtYmanEIOAzEYcd0eb2anEk/ON3X1oClJn5+FbiEzmE7x5CYHCtAk0a5fZgV/nMkez92fJT7MoSdGTOPbkz1dFa5eyo36b2RLEcWWtFCQYnuZ72t13LPM5RWuXC4jzaz/gEI9RM+t+PyrHYvCLTYAb3H0fa6PurUVXxU2JQuMrEcHLVYty7VKOmW1N3B8cTexTn+Xeu4qoeXqtmb1CPIRdHjje3c8p+ZyK3j8p86mC0gVI9nR4JyJ1f3FgEzPL0tj7EYXzvi5ZtnA3zQDu/rlHPatXgY1KMlNeI9IlZylZpsgHiq7pgv1w4DzgWaL71GbpKRDEjU6LfbXA7fItURTvTjMblE30KBL9FJEtuHMKwkDcEI4nslrIzV+4fShtLyOJLkFLAodlT0xTUKCrNY1CdT7xhPWXRDfEOfOfVcCLlEWAnYETrKm7y0Ro1oVodqAbkYGZBR72ARoDcwVsF6AxnXpuIivjF0Sm1z1mdoxFEdf8vNlx2Yk2m0AxA0+XEV0LNyeyl04DbjSzNVMg93pgNTN7nThHr0EMILIZJU8Hi7DdpODkOkRpgC+AW1PA9hzignYt4iY57yvgh3zgCYrRHpmSdvkSGGJmO6an7E8Qo2/1SbNnx5rvgI/zgScoTruY2ZPAtsT+swbwRLrePQ24lhgVceOU/TMl3RSOBuYvbYOitAmUbZfHs/sAM+sBkAWecuelcUTW8vj8ZxWsXcqO+p3aYBLQ1cxWJo4z/yYenC1kUR+rmYK1yyPAukSXsNmBZ82sJ5FRW7f7UTlmNpR4SHQwsKaZzZq/zi/N4Cau9WYnaol9CKzmxRyZN28Y8WDxAGAPaz769cfADmb2LHE9syaRzX2Wme2d/5BK3z91m/osMj28qSjc+PTH7U7UkNjMzP5LXMyNJ2oEFF4umvof4oD7azO7kbhg2wf4vPQitsg8DZ3r0T3zgfQPMxuQgivf0jTsZb0YRVzg/we4w8x+4u6vALj7bmZ2KXAUsKuZvQcMSsu8WqP1rZq0vXQnuj89RRxPDjazye7+SHq/S7afufv5ZjYbsAIR5C6c3NO+94muQqsQAahT3f3rdPzNTqSTiYuXuSz6ui8ODMguSAp+8TY/USD6X0QGyxNm9j4RYOlpZi2KmLr7axZD816d2qhIgaeuRMbTbd40ut+1RFepDYhsyrFEpuV9wL7p3HSpmX0J3FmL9a4Ui5GC+hEDO4xM064jHoosn37OQnQR+hR4iehKNJgIVBVSK+1yLVH/6yGPQvzvE9vFB8DLZjaGCFB+1drndmZmthORmTKYCJxsRdQvmoXoqnsYcU5+JB0/shEjFyDKKRRSW+1iZmOy4JKZrUici/5jZuOBpYhBdwrJYpCC/sCe3nLU767u/oGZvUFkPD1KPCDJztmbVjoLo1bMbHVie9ncY1TrxYjzyhzEA8aj0s9HzexX1Ml+VI5F5jHEg6IlgN8Q29T3pdtH7vr3WjO7oSQ7rDDXMHm567aviXNzTyKpoZuZ/SVd49xJ1JkeShReHw/cYmYjqHJ3VmU+VUHKgOri7hPcfRei//ckombCu8CaXrAaGq3JHSBuIZ4i7kNEY+8nujzsA82evBde6UnVzBYBziRuEJ8mDrAnVX/NamYdIuPiKOIgeZuZrZa96dH98HTiYi27aFunXvYhIj17DPD79G8ccKilQpzpBNRYT8HdTyJG/ShkDazchcVaxHFkCBFsO9HM+pVkoH5DHHsfJYq0r5jL5ilk4Cn3dP0LoK+1v4jppWa2nrtfUcDAUxciY3I+ossQAO7+DfHUcM30+mHiBnKfdHPQkKbfVsDjTVciyDJHbtrVRPss5u7vEDVYLgT+RAS/hxLdzvaHwp63y7XLn4hAyxLp9VVETcv7iOzlv1PsdulG3NzMna5fehIBl0eI4c33BS4gCtseRTxUe464xqt4Mdsaaq1dHgbeNbNfmdmCxHXLP4ibxBdI3dBqs8pV0Yd4KDQfgJktlzLEXgDeMrN9iGuai4Hd3H18Otfc7u77ZA9pa7TuldSVKLdh6fVAYDmi1usbRPDgz8R9UT3tR81YFOQfR4xS/AMReBsH/Apa3kNl24uZGU21C7MATSGuYUql69xuxPXt58Q95O+ImtJZDaj1iTbb03OjGqcH1xOtqeZwxRVxZ66p1i5G8zdA7n6pu/8C+LG7H1qUmx8zW6Od83V19++JnWJXYD/iQLp2ri0KWYysnRehHxE3g0cTwYVV6iBVNO9jYJi7v0mMCvksLQNQd7v774iCjAcXZR9qD49aRb8F3nX3F4ibwbGUD0BlI31kAfBC7lfJp0SbXElcpOUDUNl28ff0cwywvBesG1krsr/5k8AOtL+I6QByAxsUqY1S94XviUDlambWO3d8/S+RUZidqx7OMl4K3s1hDFEDol/uRu8T4sZxIIC7f+buxxIXsfsSwajVCn7ebq1dZiWNmulRoP4IYAvSUOjA4AK3y/+IrobjzGwOoovHjcClxIiYhxI3ONcQXdB2IgbdWTVrk9qsdsW11i6XEQ9GDgF2dvc7iHY5g+jSunrB2+U/tD7q91+JdvkQOCmXXdjFc90Qi5j5RPzOjwIXmtnZRJDyRqJdhhDHk6PSQ6KtqZ/9qJGZzU88BNnI3X+wqG06iajHuLylkeLLLHoecIW33S2v07Nc8fV0HppCdG3d091vILpB/y5NW9ndb3H3UeU+q5rXeCo4Ph0sCsItRPRf/qe7X5amd+gmrwg3hRZ9SL8iimRP9STR2u9ctK4vZrYDERgY6e7T3HWuaO0yNZYryGkxjPUxxPDEu7j7sNL2KMI+NC2y9GIz+xHxlKwncIm7P1rjVau6dAEyq6caK2Z2OJG+/waQdcGbhchkuSdlrhQ28GTlCyQfRwS2N3b3Z0xFTDGzge7+WfZ7WhTlHODu2+Xm2cDdn6rdWlaHmR0EPOnu76bXSxCjq27mMVR1Nl9vj67i2euibyPtbZfSAQ4K2y5mtpynAUHS+edlb+pWdiwRgFrW0+APueUK2yYw1XY5jgj0L1eH7XI68FPgIKI242+ym2CL4vyHEUGVT1r9kAJK9wjbEjU8exIDLmXXvnsSAcrNU+ZpfrlCby8AZvYc8J6771XmvdWIh2O7u3uLLvAp+PtDUa/voGzx9W4pUWE7IpA7KM33IfEw8QzgMo8M75pS8GkaWRSqnYt4wj4/0b//bWJ4x3rIMmhkZs8QXRjWS5Hpuvnd22JmTxB9syGK3m0J/KOgT3BmCGs+QmR+FIvlSNlxwF7TE8grqnSh+39EsOH/3P2lGq9STVhu1L8UgNqW6OJwtrt/npuvsBdvFgWS5wbuJmrGbQz8wt3vTsGVvYGt3P3J3DJ/Bhrcfe8yH1l41jRK2R3A7O6+WQpoPklcuC1b1PNaa/tC6iL0TyJb7vHUHjcAD7v7TdVez2pTu7TU1vVd7mFIL6JswL7uXhdDwHewXfZz98equ4a1UXJNN7VRv4909yG1WdPqKt1e0vXb8UQX7y9y098DzkpZhHXDorj4LKT7ypL3sv3pAqLm637u/kErn1PI67zUPhOJDLlfE9mT2UA6fYiBUY4gsgw/IQJ1BxPnqQtKg9/Vpm5308BiRIalgQPc/UziD38AUavmdjPr6c3rjBRWikx3Izb8H6CYqY0dZWaHEgGnNYhMizXd/TUFntqW33ZK0mXfAs4makEdUYNVm+m5+7PAFcTN8is1Xp2aSenoWb2r3xOjum1MDHuen69wFyTQrEDypu5+prv/hOjycX66+TkcuJIoYnqAma1kMRLiAkRNrLqUO/ZMIbJVAR4k6musWOTzWhv7Qi+gCzFyG8TDto2IC97CU7u01EaAZRaauvjOQxQcL9u9o4g62C4jq7RaNVdyLzS1Ub/r5vxTZnv5gnhgNNhiUBksur9/Q5SiqBtm9gKxzwwuDTwlWds9THSR39haqQlWxOs8i+LrPYlA7nPp//3Tew3EuWkRojbW58BP3f0cojbhTDH4kIJP02ZW4uI+O1BOJgrnvQTsSBSLa9zoLUafWtnSMKtFYWYLERv8M7kMlcUsiioeb2Y7t7Jct/SzaEU48+YjutqNcvd/E/VVDjGz41KabQt10i7TzN3/SaTy71rrdZlZufvf3P04L26BznbJ//7u/geiBsvFtV2rqmmtcHQfYHF3H+3uhxFZcnVbxLRUbn/5GOhjMcT3UkSdhLqor1FGN+LiflYzu4W4aVzEC1iDsIPHy7ppl/YwswWIOjVnpC6KlxHDwQ+v6YrVWL21S1sBAGuq4bQ3kZF7PnC5mZ0C3EQdjfpdjru/R3TlvRw4J2VtX0ecz+siexAaezkYcJe7j0vTFjazn5rZwWa2dha4S9mDTwMnkwYJKTozO4p4ONZa8fVJKQPq90SW0565xJAzgO2z3lk1+QWSur05mRZmtl+6sHiD+ONnf+wpqY/uy0QxuCUt6m1kDgMeIroMFSK4kH6Hz4k+pCua2eZmtjhRPO+nwDbArWZ2ZXYxZjH6wEXAYWY2WxGfJOcuPL8i7V9mtjRR6Hhnouvd7WZ2WS7YVPh2Kacj+4E1Fc7+oMiBFYviijNE0bLsOvo3LwlADfHijU7WmrYKR88DjSn/l9FUxPRQCl7EdGrHm9z+8jqwIRHAW8YLWJS+A8fer4lC/g8DKwEreEEHd0jHC7XLNPAYxnsCcY37U6Lw9o/q6JhbVr21S1v7UK4cSd2P+l0qd52yL5GdsixRLuBzIvunntrlfeBUIjNuVTNblChWfyRxzz3UzH6Xuyc4jujGWS8Pzu4kanZOrfj6zcCB3lTAP9vGZoqyQKr51E4WNTQ2Iwq/PWZmhxGjtD1I9KkcTHRlWIt4CrYvUQhtRNoYtiCGy/yZ5wpSdlbWVJx1HmJIx1mJVMj3gDPdfYyZrU0EXY5094vTxn8VUXX/BXcfVqPVrzgzW5Ho+nQAkSG3AXBMukBdh+gaday7n18v7ZK2h7HAd+kpj+SY2ZlESuxhKVtOADP7sbvfl/7fWAdMWmftL5A8a1YnIL0uTH0EM1sf6Etkdf2vvcGj1Fb7EgU7JxYl8GRRDmDcNCz3AJHCv3KR2iNjUTvjTXc/qIPLFbZdSo8Dbd2sWPOaPj2BLu4+Nr0uTJuU09bxsp7apSP7UJltK1/bs2jt0pH9qHFei+6Ik7ypUH2h2mVqzGwpYtTQb4nayv8E/kB0F9uNuOfewd3vTfN3Ifavurw2tKkUX58ZKfjUDmb2PDAn0Vf7bI+irfMTkeljiaBLX6LI73VmtgrwPLCuu7+c+5yfuvvNVf8FZiCLAm99iZEZLieCb3MRw6UuRoxG9oA1FW89nhiWeQdvKob2W+ALd7++Fr9DJaRUyFHufnVu2uHEyFL/AW539zOsqVDe0cAuxM3giDR/4dolk4K38xH70b+JwNtzbS9VX8zsYuCXxIn1fE8j5tQzMzuACG6f5E2jiSoA1YrWboasfIHk64FHvIAFki0Ge5iHOCe9BBzq7m9Ow+cU4qLfzK4guhB+ATzm7te2Y5nsXDUA+DL9vxDtkTGzJ4kHQw+6+7bteSJc9HZJ13hLElkXD7n73e1YpkW7zQxP12ckm4bRreukXTq8D7XyOUVrF+1H7ZTun97NHjKmaRsB1wA9iJpF+YdmlwHzEnU8J+eCdnV3bZi7155q8fWZSSG7rsxIZvY00M3dlyb6Vv4iXWh84u5XAssQKfoLuft1abHPiC54/0ufkaUH3px/3dlYjFTxI6IdhhFps5cSqbM/B54lut3lTQIm5J+uEzfWhQmwWBTx3Rg42Mzy9YhuJvr4L0Wqv5I7MH4LfE/zwm+FapdMOlHMAWxKbCcQGT5Cs+5kzxAFbOcEfmtmy6b3u5TMV09eJIr77mpmR6cTbUe6x9SVNrKWyhVI3pgCFkhOgf1+xO+3OJFx+mbJPO3al4oQUDCzu4mL0geJ2hDfl7zfWjeZyenn52mf61qE9shYjNLbAGwPrGBmC7TnJq/I7ZKu8QYTx935gV9arit4a/tNuXYr0g1zynLbhOgeBlEi4b7cjV+rXc3aM62zmtZ9qJyCtYv2o3Yys77AdsDhKeAEgMdIvGcRD++fSfNm7TYWmOjRhXNSbpm6CjxBs+3jIaZSfH1mMtOvYC2lwFN/YhQTiG5R/bMLjfSU+Qd3fx9Yw8wuScGHa4kD8vvQ8uDRGQ8mZrYSMYT7Pu7+e3c/nChWuxXwJ6Ir1SbuPt7Mlkwn5FmBdYnIf/Y5jamRRbiBTNvAWKL+wwBgPzPbC8BjuNQ/EyOQHWlmvzWz5c1sIFET60vSqA1Fa5cS8xGZX1+4+6PE0/f1zewwM9ul3AJWR8XXcyfMl4jA7lBiX/udmc2XHS/y24cVcACDUulvP5J40vwtEeQ/yqKf+5TsBNsZTrSV0MHfu54KJM8J/MPdv3T3z4EvzWw3MzvWzNYwsz4paNDs9y7idmRmCxNP3w9x9ws9aorcbWazW4wwldWAmGqdryJd2JvZK0RAdmuihifE+XuaasvN2LWrjXSNtwiwl0dh2qOBJYDZLYbubqzpUw/n5UxqF41uXWJG7kNFov2o/VLgfiQwgjhPHW5mW2Tvu/sfgfVSe82TfnYHlifq6kri7o/TiYqv1+0BYmpS4OSPwGrunj0tvhNYysx+Di2eMn8KrE6M5DAGWN+9UIWRuxAH0PmhMVhyJ/AIqU6NmS1nZisAbmbvEJlQ8wIH5pZpDLx1xiBcKU+jeBAZcI8B/wX2ygWg/k0UZT8I+A3x9PlR4sn8HtlTs6K1C0Rgzsx6EwHcbOjYpYjuqosTKbO3mNnluWXqtfh6D2K0lwYiY+4SYtjds83sTTPbMzf7YRRsAIO8XKboFHf/ELgHuIUoBL0dsH+6WV4uzZddyB1tUa+nLnQwA6yeCiR3JTJ9sBht6lnivHwoUTfiYjObIzt2m9kNZrZtQTPqGoh6jFngemWii/zLwF2WBkbJPVArfGDboivv/4jRgr5PXRTeBw6H8sGkemgXYrjuWXKvJwGzE9e9T5jZX9LN4pTsuqUO2gQia7vuR7fOS/vQCLQPldMD7UftkgsmLQY8RYwEeYiZbZ6bZ5JF/cbPLUrgPE/cVx4Bxbv+nRbWVEy80xRfL0pgZIZKf8hx7n6Tu49OB4euxMnnbiLLqWs+sOTub7n7WsB27r5j7sK+EE/FiMyDfwErm9ksuaDAR0QwZXGiftEbRGH2C4laLWvk2qKogYQ+xEHzJuAcYqjufABqhEctqFWBHYhitmsXvV08hvwcDfwWeCdNnpcYYncDojj/hsCBZvbL3KJ9iADuUtVb2+oys8FmtqLFCJG4+3h3/4xIMd7Uoz7AEODHRI01zy1+ETHYwa/MrEfRtp/s98ldjM1GBL5PJtKvf0Icd36b5uua3j+AyMQsNDMbamZXQvsD1e7+FVFw3IEVvWAjuJVkHdwE/GBmvyAefAwhbhIXJLKSlyAG/wBYgOiK+GszW61o+xLwIXFu2i9dpF8M/IMo5no7sLOZ5Wt+HU6BA9vJHcBWHqMFZRlf9wKLWnQBKfd7H0ZB28XM1kj/HU50y7zfoqv8S8S+cxIRtP0REbzOFHpbybXLa8T1SN2Obl3Gg8DW2ofKepUY4VD7UfvMRexfv0//xgGH5gNQRBvuQ9x/X00khRT6/gnavy2UZHJvRFzvzNRUcLyEmV1HFCpdEPiduz9Q8v6OxIFkPXd/PstaKc1eKX1dBGb2O+AY4DQimDAP0aVsOSLN7zLiifpHJcsVZgSl1ljU5/nE3UeZ2dJEOy0AXO/uN7ayTCGL41mZ4usl7/dI3TOzwq2nACsTIzWMTvMUufj648S2MStx43uVu1+U3rsS+N7djzKzF4mn0d8QQamL3f313Od0+gEM8szsV0BvIp36Dnf/IU3fhsgS3N3M5iUyoBqAP7j76bnlexPBhRtLj9tFYSqQ3II1FXb9AriPqGd1BTCQCGQP8eYDQVwPzO/um+Sm7Q708nYU4p7ZmdlpRP3AUen19sTAKA8TQ3gf6u6fpaDtVsC5wK/c/Skr4Mi8mXTtNpYY+fD5kvfmIwryn+Hu57Wy/JYUrF3M7FniePuTdE7uR4za3IXIaB/s7l+neZcltqHD3f3Ogm8rWbvsQmQ6HUodj26dMbPTiWPLyNLr13rdhwCsaSTnMe7+jpn1J7YPqOP9qL3MbANgmLt/Z2Y/IgJyvYBL3f3hVpYp5H2llRRfn9ZYwsx+f6nMpxwzu4cIpNxL9J1cPPdeA4C730WMEnSWpXos5TaOIgWesuiru58FnEpEVa8gnp7u7+7vAfcTXTsWKF2+iAeIUu7+zxR46ubu7xCF8rIMqD1aWWamPTBMK2ul+Ho+UzA7ueZ+/0lEUf/RuY8qavH1o4k0/g2JIp3nAOea2VXpGHM9sIiZvUV0DVmV6P47iOiumE+x7dQDGOSZ2d+Irqm7pJ9v5Z48fwUsk7LE7iLqYg0BNjCzU1Jmape0/Rxa4MCTCiSXsOaFXecjnq73Bn5HdPXdCFilZLGn0rL5rhGPFyTwtCJwHHCjmc2WJg8nuh7+GFgpZVhm28XrRJeQedK0Ke7+EHBvkW6CLEY/PIt4sn6XRTeXrGZcN3f/lHiotqPFaMUtFK1d0vGkFxHYH29RS+9r4hh8AfBm7oa5KzGQzrdEQLfI20q+XbKCxrcRozv/jOi2ej7wc4/RrJ0Y0TnLYi5qu6xIBLFvsCiJ0JhtkQIBdbcPAViM5HwV8eDjSjNbL2Ua70wd70cd4e5PpcBTV3d/ljhOjyXuIzZrZZnC3VdameLrWYyho581s99fKviUmNk8xAXYr9z9Knc/BLjczGYxs7lKNvTbiDTB3a0O6tJ4rrivu19AXJysCazs7jek2XoThYHr8uCZyW7q3N2Ji93/EkWSN29zwQKw8sXXfwaNB8KsO9VKZrahmfUzszmIp4ef5j6nyMXX+wMfuftn7v6KxwiZGwJ7Ek/KGojg7n+IJ6mT3H0I0Yf7TGh5Uunsxx+LApNzEQVc1yMKmP4deNLMdiayLL8kbqBHpoyVY4l9a25oagN3/zJ9ZqG2G1OB5BasfGHXRYHF3P1/xEXc7USQ8mQzmyc9nd+NyAAbk31Wulkogn8RN8MbAA+a2Zzu/l9iyOrXgMXN7KTc/J8TN0NZzaciBrYPJQJsaxCZXmu6+2u5oGwWiH2K6PKxhZXUX8k9gCtEu5jZc8QgBKt7yjB19wnp5xTimLuaRVZydsz4lnggMi59RhG3lRbtAuDun3qMbr00EdBe2As+unUZ+WPLA2bW16MeTz4D5SnqZB8CsPIjOS8D9b0fTavcMTkLQI0BTjGzmb6A9vSyNoqvTy0A1dFrwJmBut0lFsNgOjGixc0pNfLPRLeXhYgI9t3u/naa/2Qi1fYAd3+kNms945nZ8cDCRPrs3919WO69Zl0MzWwwMWrbCGJUu3mAHxXl5ibPzA4ntoM3gWfc/d2pLJIttzxxE3RWEdulVDpAPgv8m3hysSi5rofpSdkmRB/3D4luZ2OJ7WbCtKaYzuxy+8xRxMXrzsSJtcFjxLHViFHufkM8QRvl5VPbZ+pU2mlhZhsD1xGDNLyfm34R8AviGLMPcVza3pu6E81OdFGcXNTtBhqLu+4M7OBNXRGfBD5z97JZlWk/XAn4Z1GfpprZ6kQh+i3d/V9mtgxRE+xLYt96lqizcSSwJTFCzptEEHztoh1vsptAM7uXCOb3I7oe7uDuX1kM9nAAMdDDq0RbrE7U4VupiE+SAczsLKJGyKbp9aJEEHcOYv+4OzfvgUQ26oEp6F84ZrYQ8ARxPZvVzVuM6PozF9Hl4zYzO4KoczScCK5sTDw8WaOI20ob7bIlMYLmv7Jtwsw2JTIJhxLnpjmAdYp2bs60cmwZQBxbvrZcN+50vjqXAu9DGTO7m7gfuDC9HkJk8r8EfFqP+1E503qeNbMNifuFE4q6b+VZFF8fTmQkdyey4y7JYgz5dkwBpzU9dSHvbNcynS5aVkFfEv25VzCzgUTg6XmiqO3JwB7AL1JaHO5+MpGp8HgN1rUizOxRIuuiN3GzM1+a3jj6VP4nMaJDP+Lk/B1NQ2IWartK7bIncfN7NHCQxUhubT6hSAeDN939DC8ztHdBlSu+vncuA2pSOpCuQhTr/A31UXw9+70eIVL0D07TJll0d3gF2Iko1D8oPQEpl+VUxBPwt8Q2sxBETTAAdz+MqK9xI3CMu2+YCzx1dfdvvakbWSG3m0TFXct7jdYLu55PDO5wtbsfT2TV/Zh4Or1mEY83uRuZZ4hru0uJ2j1DLGr5LElkT/6UuEEaSDxkWjnLYKj+WldObpv/inSta1GP8e/E9c2WwO1mdpmZ9QRw96uIbeiA6q9x1XxKjMC7gpltbtGd+VFiu9gGuNmigPZtRBfOxYiurR8R+07htpWktXbZnWiXmyy6x3cjsp3WpLijWzfTyrGlK3FsmZsYuCC7T/gjBd+HLLr6t2ck5/OJa+F62o9amNbzrLv/zd2PK/K+lUm/39y0UXy9JAPqaOB6M/t19l7113raKfMpJz31OoOIUm8GHJvrxrErUWV/w3w2UHqv0xc+S1lM1wKbuPtH+SwnaDYCVVdgSu51d2CyNw0zW5hCtgBmti1wNrCRu39hZvsRO/0a2Y1wmq/TbwMzik1b8fXCt581FX7ei8j02cfdb0j7WNd0MXIpkfb/S6Cx+2HRWRSB3ghYJT1J7enuWVr6faQuZ566htQDU3HXFsxsK+KmZ7S7P2lTL+z6GPBrd7+z5HMKd7zJnbP3Bn7q7pub2SDiInYw8KK7r9PKsoU6b+dZ1Kp5hbgZ/oboNnRMCkCuAzxJXOudn1umcBmmeRaDD5xOPGjsArwHnOnuY9K14N+J+nlXlFm2yNtKW+2yNtEuR7r7xWn+7tk5qeDt0taxZS3gJXdf19JgMmmZQu9D0Hjf1N/d7zWzdYnud2cR2fzrEt0QD3D3P5VZtrDbS8bMLgZud/dnar0uM6N0fzSbu7+cuz/YmNifSouvN2ZApWUXI7pv/ga4MLvu6SwKHUlsr1yA5SoiSn0r8ZR01myelD76XyJNvZmCXMT2Jjbw79Lr5c3sGiL76xIz2w0i8yILSpnZ7N5UkDE7QRXtYDorMM7dv0iv3yOeGt9hZn8ys19C823AojtQ3fJpK75ehH2omey4kju+ZP3ZbyBqFl1nZr/wKDiZ/f7fAfOlaYW+cINmfdX3J/atoWY2q7uPy2X5/JnoGjRHLdaxFkzFXVuwKOx6bvp3v5md6FGrKSuQ/Ia3LOz6P1Jh17wiHm9yTz7vpWlfeYvoHjMC6GJmfSBufEqWLdp5G2i8Af4H8cDoImKfGZECT13dfShwArCbmc1hTQPLFPpJu7t/TmTZrkRc676YAixd3P05Itt/RzObNZ+dUdBrvEZTaZfniUF2tk3t0jUXeCp6u7R1bBlJOrZ4FK6vi30IwN2fc/d70/+fAU73qCXYxd3/TgQyf2xRO7hu9iMAM3sB+BGRkSwl0vXMXcDfLAbc+WW6p37CyxdfP8SaF1//AOhBdJPuVIEnUPCpkTUVffs/4uK2H7C9mc2V3p+dGHL1m5qtZAWY2Qrpv+8BfYFNLEYBup3o0vAMEYA5NQu0JFcTmVKNOlvaX1vSzR9E145lUqDpUGIY71eJ0ZW+B84xsxNzy/2JknapB+UuMry+i683G0EqTcu30e+Bo4A/mtlpZraumS1IdEf8vNrrW035dsgF5MYTNfRGAK+a2WK5i7OPiGywWUs/q8BU3DXHzC4AZiMK0m8I7AWcYGY7p23obaKw68lQvrBrPUh/5+x4syXRzfcDorvhGODlFNwt9I1PJhfAvxG4DFiKdPOce+9b4lz+XT4oWeTgf7r5/SfRPfd5Yuj3vEnABHf/vqRNinSN1+zhUPb/DrRL4/ZRpHbJlJ4zpnJsGUvTsaUu9qG83P1j6UjOE4m6nmOKuh+VY2bPEr/7hp4y2Ever+vYg0UB+oFEqY3liEFktgcuMrM502zZNlVafH2NNH2Ku3/haeCDznaNV3cbgJkdaGYnmtk2ZrYktDwQuPsxwHlEP92rzexq4E7iwHt36Wd2Vma2FnHz25fITLmS6Kt8ABFc+Y27/4Z4Aj+E6Nc9MC1+EbBrtde5GlK7XJVu+N4mhtcdTJxk3wb296gjcixRzHYnM7O0+EUUtF0yZvYLiyHu90lpoVN9ypUCUL8H7iC6whSWmd1J1IJ71aKeSHayaMxecfdxHkUqtyaesN6QlpkbODh9Tqc6mUyNmf0YWt9W3P0/xMn4XSID6lgzO4joCv0lEbwsvBRgGkO0w03E736/mfVLAahuAB7dv28msjp2yH9GmXNaZ7/YnR94zN1HEO3xEBF8Wyu9/z3wB2BPMxtiZr8hamX1Jo45hWFmgy26u5fl0R38JeL3/wHYzt0fIDI6niQuYgvHzBa16GrZQnoyfDVwBXCkmf3WzJZP1zPbENtUZ99HWjCzgWa2ROn0lL3e1d0fAzb1GPRiiTR9VqLLUGEfgrTycKiL2sVmt+jSXfacUcfHlqkdc7PRmdscybkemNlpxEPUndz92zRtVjOby6KbfHYN2K2tzym42YC/ufvb7v4h8SB6CFFX+NJ07zkxd7/wLHHuepLoQt5CZ7vGq6vgk0Xh6F8TT5PPBf5gZvtAyxsidz+aCMK8Q6Ttv0SMmNK4QRTAu8STi4npSehDRBHxfYB+7v4dxDCzxEa/Jml4b49C2kVqi7zGdgFw9zuIk8iVwOvuPjpNH01sF/MRo8QUvV0ws0eIEciWIYJyV6QbvTYDUFYnxddToHphoujxgcQ+c5JFPTk8V2QytclDRJ2ALYhBDQpZDNnMVgWutKbC860FoD5z962By4li2fsQgYXN6iGNH1TcNc+ie3d34inhQGh84jeauKhf05q6v9xEPBBYlIIWdjWzPYkRtrYtzXaDZhegw4mL1T1yT54fdvdDitQeGTP7K9GF4TUzuza7yclLwe1TgYOIOhkPEgWl+xHt1OZw1p2Nmd1FjJz6DzP7Y+nfPJd1OsWifs+7ZvYOMUrkvMT5q4gPQVp7OJQFnuq1XW4l9onXLOoNNlPHx5Y2j7klBhAjJr5MnL/7ETWEC7e9tOFj4G+kB0MWo9AOIfaf+8zsEmjqGZHO8Su3o22LZBIxih/QmDH3Z6IW7DxEVvcsaX/KrvUKVXy9bgqOWxTxupymgtorEqN77ARc4U1DZXYliv+WTUu3ghWJM7MHgJHuvmd6vT3RT3kgUVgwG+JxAHFi2s/dX6/R6lZNabukaYOIEWAOTUEDLEYRuj9NKxuRLgqL4usXEqm0H5vZ/MRoLycCx3sq2Gp1UGiynHTsuA24392vT9MWIGqKLAnc402FSrPigi2GRy1i+5nZSsRF63vAH9z98jS9tJB2Y7cyi9FkJhM116YU7djbmtwTeBV3TSwG/PgpcbzJRjk8l8hEaMy+bGXZwmw3ZrYysR99QmTd3umt1K+y5sWQO9UwzB2RbmbWBvYjSgfM5+63lszTrMC8mS1E3Bh2BYZnT+ILtJ1cBxixjfQhukjt6akbbpqn8ZiRbnA2ILoljgTuyLIsi9Im0PhwaBXinNyNeEj0BXCfR83Xem2XO4hBYU4jAihXEplfT+XmyZ+b6+LYAh075qb5VyLaciLweBG3l3LMbC13fyFdB/+ReAj7WyLjdCjwDyIT+Wjg6dw95xHEw4Dd3P3pom5PFsXX70y/40pEN/CHgXNy+1ID8H9EF7xj3X1oUdujnoJPWxJFSVfMRVznJ7INfkWMKnRpbv4uRBX6b2uxvpWWu8FZlzgYnOfuT6f3tiQOsv2J2k/vEzU25iaeJBf5Jqe0Xc7xNFJDCiScTRxU7yRqsvyKaJd1itwuAGb2c+KAuHhu2iLEE42BwAnufkbJMrMXdR8qx6Jw4EfuvlduWn/iYndp4M/5G6N043Smu39W9ZWtIouROV4nArVLAte5+2XpvdIAVItASlFPwG2x6A79sLuvZTEU/D+Im+t/AZu7+w8lNwRFD0DN7e7f5AK3pxPBpw28qevMrsToOo03j0XablJA9nZicJB1ifPy3bkMhBbBttLAS9GY2RAiIHtBej2AyEYeCAz1NCpt1i5FD/jntpHL3P2vaVqW1fIxUaD2kzS9rTYp1HbTwYdDDVnWQR20ywJE1uBB7j48tdPTxIPGUcA/vGkgh8agU3pdqLYop53H3LrZXsqxqPH0FbCLp8EcgGFEfb0Hgd+5+/fpvnoropTCfml760Jk/u9DgUbmzbMovt6dGI13XMryOpF4mHgLMRJ4/pz9DPCOu+9fkxWugk6fujU11lRQ+21gIaAxkyWdgK8jIrP7mtl2uUVbFNQuktwB8l3ioLq3RZ/2bJSkY4h6Ir8gCgH/QOw4hUj5a02Zdtk3nXxw96wu1kvEqCe/IzIz1i9yu1hT8fW3gX4Ww51nN3b/IU4upxH1VnbNLVc3xdetKWX4emDBFMAFwGNErjOIwQp2t1RQ0KJe1rzESbuQrKlf/yDgTeKE+xjwczM7GMp2wbvezI7Of06RAgjtYXVc3NXKFAIGcPfSwT76AbN40+irjxO1GvPLFGa7SU9FuxIXsYcRXciuJwYJ6WFm60Gz7gyXmNl8Rb/xIboprApgUcfzeeI8fR9wu5kdAM1G9LvYmmpXkt4rxL6TjCPaZBcAM1sO+AnxQPF+4DaLuixkgSeiTebLf0jRtpv0N+4HbJyb9jFwPHFu2saaRnXOfvfCtwuRoTM7kNVLW5rIJj2Z6J54R24fyjI06uLY0oFjbj1tL82kQEkvohvmBIuM7MnAjkQW3dzu/j00no/fIjLDshIuU7xgI/PmWUnx9RSMHA+cA3xIBDMPMLNeucUeJ0rgFFYhb5Yz1lRQe850k3wesL/lhit09y+J/qhvkvpgphuhiyh44WgAd/+CuCjZAzjRmgqcveLu5xAnpM3dfSdvqkVTpAu1skra5eRcuwx19yOBxYkI/vZFbhdrKr4+B3Hzex8x5Od2QIOZ7U50XX2YOGBukJari33IzI6BplFOiP7+44hg7qBsvrQ9HQ6sQ5yUsyKCu3oBa4Tl2iW74XstXvp7RGD/UWC/0gBUCsy9TGSpFpqZLWBmy5dMawy4eB0Wd7VWCgHn58kdZ6cQtRMgRiEdCCyetqXC1ddw90npIv4V4rxzOnA+kYX7HnHznAXuBhOB7S9rtb5VdBOwgJmtTQwSczuwHVH762NgN4tM5ny7FDbgn252LwQ2MrO3iAyEq4DNiO5jjwMbmNlP0iJrUz/bynXAQh18OFT0dvkeuIZ4uAiwPtEe2xD70PvALma2CtRVu+iYOxVm9hzRfXV1d/8Bmo349wGR0VRaj3IksU2NTZ+RjepWiJF586xM8XVgFoveEGOBXxLH512BC8xsPoveJBsC39Vglaum0N3uzGyu/2/vzsPlKos8jn9jAorsi7KoBAJYLIKCgIBRZJGACiagMhCQLQGByKbsOJJBIgEkMOw4EZTVYQugbIJAQBIFlYCghSgBDcRBICwhMYCZP+o9957bt7vTWW43vOf3eR6fpE+fbk7KXk7XqbeKaNZ6YCr52wQ4isjyj3P3e0r77kF8Qa/r0WC72J59ySR0XV2/kVirO8bdp6ftXSX89UpKc9ckLj36AuQal9J7aKTHMp+tierB4URD33WI8tnLzGw4cC5g6YSueI4s30MpYfQmML5cHpuuNF9DJLTPcffJpftuIJrWj2738bZLk7iUl4itQTT+/TyxFPH8es+T4+sGwMxuJJYGbQxMAC5NV/9q99sX2Aw40d1npG3lz55sYmTRCPgjxFXRG4lS9N+k+8r/5mLZ3YlE4vt1IpbrlS4EvOv7a1gMclgLmAr8ujhfMbMjgGHuvnW6PY1IvB3g7peWHl8sIc/mNQI94vIMkYT9E5FQ+R0x+ONcd5+Y9l2BWEL0M3c/Pm3LLi41MbnX3SeZ2TZERdhw4vv74bTvksQEyL+6e9dk1dxiAmBmI4j3xhTiwtCyRGPfGcDp7v670r6rEFUZx7j7+LQt97g8Slw4xNMyspR8mwPMSp+zKwCTgUu8u69nrnE5iWir8QQw0WOiLGZ2GJFAqORnbj0WffPuJpYgHpO2DQJ2Ij6HH3P3CWn7HsQQkPuI1TQfADavQIxGEv2bLnH3myyar58JDCLOW2539++Y2deJqvbN6U7MbeGlJa65yTr5BGC9G2pvA4wiGp9d5O43pe0bElfkh3nm/VcaSYmFG4klHje7+9Wl+7JNsMxL1eOS3kOvuPvwdHsZ4kR3ReIE9q9p+6eJ5Xc7F1dBclWqVHqSuDp4vbt/tXT/RsSSw6eJ185VxHjVu9K+Y9t7xO3RLC4WU8veKlW0rEFMDtqOaOR6evuPuP3M7EoiNocBixPvmTeIfgcz6uyffXNXm89GwOn29kQF3aPEldecEk93Ej+U/0wsT1ic6Mt4i5mtSVRxH0AkX/5OnLCOJF5Tl+d60loTl1WJ5R6HE1WA9xM90b7u7leUHnM+sTxz/7YfcBvUicl7gVO8e1jMFcDdNT+SvwcMcvc9O3DIbWFmdxPL7F4gqru+4+5npe/mK4kEw7gKXhyqjctJ7j4uVZz0q1fBb2ZXAdPc/ej2Hm37pPfRSkQF2BrAae5+S7pvTaIaez8q9pnbiEVLhb2Iqp2ziUqwO4DpxHf4pkSi9xgiTkcQ54UvExX/b+aepEtVXT8kWv7Ua75+ItGD7sC0/2eJPmt/8Mwb1We77K5UujcWWC4lEEhXD8cBzwLjzOw0i0bKZxHrMqd34njfCTwajm9JLPEYaWb3mtlWZrZ+jj94WlXVuNS8h5a17vXtr7r77939LmA1MzsgVfscT2Ts3+jMEbdP+sIsEi3fBzY1swml+x8lpnO9Riy3m0Zc9XkfGS8paxaXdHL2ntK+U4lq04eBdXMqt27EotfMGsBxHkubHyQuhuxALHMo71uUo3dNQsnx8yb9O5cnKlZuSyf8Q4kT/N3TVed6vcF+RSSrNs0s8TScuDK8S7podgjwKhETiKqEwUR8/g/Yw92PBK4gEphZ/giqE5eDiR8y33T3x4m2CS8TfRp3TI95P7ARmS6FaRCTGcDXLJYxL058H+9sZoPTY94HfIp4/WQpVfYsT0y33p44h9nbzJZO3827EhcAjjWz4RY945Yhqi5nd+zA+1iTuBR9TYvq0oEW/dNIr6FBxLLELFksmRtILG0fTgwQuqV0TvIy0Rz6eSr0mdtM+q69nTi33YeYkn41MSVxC6I5+35EE/IziFUSOxMVZMX3ddaJp/R+GkkkNa8n+hGe5O4/IqbdjQC2MLNPArj7RHefkhJP/XM4n2kk2+STN2+o/QCxpvkkom/PfxCJhW1SyWS2cZkXd3fiSuLXiD4tuwPjzWzJKvw4bKSKcanzHtq3OEkBMLMliC/sM4llicsQX95zc42JdQ8wgDh5nUacgAwnvkQmFHem18wRROPXk4kKl008zx5PLcWl+FItdkwJqFOI8vVsXzclM4kfi5+ArsTLk8QSzbXTtn7Q44dA1s1d07/zA7TWCLiIyTnAku5+ano/ZZF4Sj4EzPToE4e7P0n0/drVYuLfNOKK8nXEeOo30n7fALbt0DG3Q6O47GJmK3ksodqOqPwZY2ZTiUrTZYnXUo4axWQYsKxH/5VziO/ps83sUeA24sfQCZ055LYYCPzTu5f//yP9eb2ZjU/370gkVL5NRS4OUT8u/Yjq7ItTMhOiqvI6M3uYSDAsSZzn5er9xP/3RZ+dj6XXySQzu4BowH46UcE+vEKfuU15tCE5C/g4sAuxPHxWqtCeRAxm2t3MlnT3N9z99eI8L6Pv6y4WU4mBrotlRS/gXYl+YPWar6+W7ush1/O9QvZJFu/dULu4mvysR4OzTYEd3D3rxtHzw91nuvs/3f0Idz+cyGTPzPGq+/yoalxq3kMnl7bPcvcriekouxFT/4r3UHYxse7m60unTc8RJ/JPpQqWrwCfKieggNfd/Wl3v8TdbygSTzl9scxvXOokoJ4vnZBk97oppDL1t4gTjgHphOzf6bXwMtHvCLorxzCzTYmTkywrN0p+BAy01hsBf4io8Cj2fdefyFrPqaJrp2rSwlPEZNXi3OQ8YjT6K6lqozivyS6B22pc0ufHI0Sy/xAi6XIm3Qn/AWSihZjMJZIKpKqw3YikygTgJ8Qy1axiAj3i8ltgjpmtYGbLEYmDvwGPEUmGS4ikwUgiUTeavC8OzSsufyASMCdbNKI/j1hKdRvRwH/jTONSXDR7iliyu326qHot0bfyfiIuZwArufsId38pPTbbz9x6zHpPoU2fuU8QF1knkfqHlbwNzPGaNhw5nueZ2Q+I6rjyBcTivORZohdW0+brVZJ9z6eCNW4cnX0/jQVRjoXi0q3KcWnyHirHpEdflpxYzQCDtK3HayAtbbgWmOzuw9K2rJJNtRYiLtm+VsrM7Dh3P610+8PAAHefWsTJYhzvY+lKarHfZu7+UOl2Nq8j69kg+R7iR+G1RBPO07xijYBTAnccsfxy1fTnz1JlYHH/RGA9os9eJb535iMu6wLPNHot5PI6AcWkkVJcPk+MKV/F3R9L930aeNhj1PmHgG8CGwBfc/dZNc9T9bh8jOjbObfmeXKNy07E986pRPXxRGATYJS7v5bichBR/TS8OO+tEoslqUsUFZZpW/EdXAwAKW6v7e5PWaw0+l9gumfab69g0S9se2LA0JHz2LeSzddrZV/5VPCYJDSEaJA2Lr0Ayv00KpVImJdyLBSXblWOS5P3UDkZl20yIV3xWga4sMk+DxBX3jczs4lpW9ZfKgsRl2xfK4V0pXiMRUNtIJaUFT8USxYjVSqkSpY7iMmslB6Xxesonah9BViKOGH7AfGDZxSRXDk6/TAAukr77yP6sRTb5qY/s4gJsfRyKvBvj6VTl9a8RvoT1Szlz9vx5UqxTLUal37FayHF5QvlJ8nodQILHpMvlp8ks5hAd1zmuvsLpQTLe4jlQP8C8Fi2eh9R+bRK7ZMoLmxD9CXsIdO4PE0MQXmLqPJaAtiXqHJ6Dbricg/RJ63X6yV3FlNo7wJ+b2bnm9nm0FXx1XUBMd3eBHjSzP5E9GRcmUjc9aiYyomZPUgMXzqbOA9utu+SRNX2UOBQoh/fFl6zGqAKKpN8guo2jhZZVKr6Hip9cY4Fljezz0D9BGRKtOwDzLDM+8cpLo2VTiaeBg4ws2tr7yvFaQ4xsQviJHgt4OttOtS2scZNow/2mJq5D/BR4NtWoUbAKYG7NNGAn9plCkST4Lmk3jVmdhvRdPwXbTzMtluIuNzZxsNsq4WIyR1tPMy2K8XlomJbcUHMY8nYUqXdnyaWmr3rl+vOi+JSX+mi2UXp9r1EVf9iRJ/KIaXd/wg46QJAVaSLZgOJ6bMHEQm475rZQVB3CMjvib5744AxREVPzq04JgKLufsnie/iL1tMca7Lo03LmYABX6Yizdfryf4HQC336jWOFlmUqvgeKn1xFs3X97PoDdBo/7vdfZc6X85ZUVwa8+aT/2qvdM0GVjaza4jE03rFSUk7j7kNGjVI/rJ1N43ek5juVokpkTUJ3OWKBG6NOel/y5vZrURT/495hn1YCopLb4pJfXUuggyGHlWCqxEJ7UMtJl+PI2I0rRPH2y6KS3113kfFNPQJwNFEEuV0MzvJzPYELiN6yz3W/qPtDJu/KbTlHp73uPvF7v5Tz3hqm5ldQvTp/Fza9CzRw2m1dH/d81sz+6hH8/VXPePm6/OS9cl/I17RxtEii0pV30Pes/n66HKyrVHirQrLyxSXbjZ/k/8WT/s9TiRx1wTWL10Ny+KkxOajmXZKbh9FLNM8hYwbAUPLCdxniWWZDxIjqzfM/Yqp4tKbYlJfnbjsXxOXYrnLWKK3z3uAbXO/CKK41FcnLuVp6LcBxxGT7UYA+xGV/lvlHpeydH62Eq1NoS0+V/47JTTLz5PdZ46ZLUYMX1qvqDz1GOzwZ+DEdLvX+a2ZnU/0VeuS+2+mRirxJqqn5gdRbdmyiMxDVd9D7j6FuAJ0GHCOma2cts/N8cdxqxSXBZr8Nyftdw1R4fPpDBNP5Zg48D16fl68RiwLWa60HHGGx5TICz3TKZG1miVwiUqwl4hlMdklJ5tRXHpTTOprFBd3/zMxaWog8CVgR6/QdGvFpT7vPQ29+P552N3HAusDQ9x9tyrFpeRSYHVrfQrtymQ+mdfMfguMdPfn3H122lbkUi4FVjSzj9dsL/yCqOiuvMpMuxMRWZRSqfaNRC+Nm9396tJ9lR1gUOW42AJO/qt5jqx+KKaYnA+McPeZZrakl/rUpJPWXxI/lP+Sto0Hrnf3Wzty0B1kPaeKnlosUUzbf5EScVm9RlqhuPSmmNRXE5fvu/vzaXtXg2SryLTVMsWlPms8ybnrvZP7uQuAmR0JrE5UNt1JtAO4nFhOdrpXbAptLTO7j1iKuKX37rWHmS0L/Aa4290PSduKRG/5HDDL+MwPJZ9ERBaQmRnRI2AQUUl6AjDD3Z/o6IF1WJXjYmY/A152973T7V4nrSkBdQ3wV3f/bAcOs61STGZ4NBmvve9LwHXEhKHXLRokDwI2qNqP5kJNAvfn7n5F6b7FPE3prRrFpTfFpL4qXwRpRnGpr+pxsZhCuyLwDLAhcKu7H56WzF8JPAGMc/fJpcfcAExx99GdOOZ2SomnJYhlqa/Xub9IvH0e+AlwVPk1JD0p+SQishAsxqcuQayF7wdsToyQfyP3E5ZmqhaX0snHZ4BjgbHufn+T/bcjGvcPzfVKcysxMbMdiOTTBsQEr0F096mp7BXCBgncl939jx09sA5TXHpTTOqr8kWQZhSX+qoaFzPbGTiNSKz8w8z2J/pebeHuL5nZOkQC6jmiavsqYqn8XUSF8tgOHXpbWEzpvRxYp1SdvQoxhfeDwK/d/cW0fSUidoOAczwmhEsNJZ9ERBYhM1uq3pWRqqtKXFKvqyuJxr+HuvusFh6T9VKHZjExs3WBh4jS/tlUrE9NM1VL4LZKcelNMalPcalPcamvinExsz2Ao919k3T7s8BFRLLp78DNRKLpB8CmRG+nfxDTfDepwve0md0L9Hf3z5jZ6kSrgFeAjYF7iCTcBWnfLYlWA9e5+5gOHfI7mpJPIiILqVyWXYUS7VZVNS6p4eRvgHOAY6sYg1pNYrIaMIko999OiafGqpLAnV+KS2+KSX2KS32KS305x8XMNnL3R81sPeB3xAWiKURD8VuIoQVLAyOJ7+xzzWwNYAjwArE8MethIGb2PnefnSqd7gAeAZYi+mJdBrxNJCrXAk4sliWa2VZERVSWcVlYlZ12JyKyqJQTClVNLtRT1bi4Jv/10iQmzwHfIEr+lXiqYRWdKjoviktvikl9ikt9ikt9VYiLdU+hXS4tz90b2Ao4APgjMdHtJOB4oj3AgWZm7j7V3S/2zKfQmtlxACnxNICo9DoFWJOYgngZ8Iy7PwscA6wKbFM83t0fdPe3q3q+Ny+qfBIREekDVW9iWo8aJIuIiHSO1Z/MuwywJ7GU7sDSvh8nlt3t4u6TOnG87ZQSRm8C4919ZGn7CkTl9grAMHefU7RMMLPLiT57h3XmqN9dVPkkIiLSB1KzyS2Jq6cjzexeM9vKzNavYuIJesVk/1JM1lPiSUREpG+5+0vAMkRvp2Lbq8TS+G3NbKfS7tOAp4iETNZKlUpPAweY2bXFfSlmR7n7F1PiafmUeOoPrE1UR0kLVPkkIiLSh6rYxHReFBMREZH2ajaF1sw+TEy+GwhcDzhwCLAiMDjnwSgFM1ucWHp4DVEJNsXdh6b7+qfldHsABwOvAYsDqwAbq2VAa5R8EhERaaOcm5guKMVERESkPWqm0I5y9zfS9sHAMGAE0YD8ZeArqSdjlpN5zWxDd38s/d2AHwIHAcsDNwCTiwRU2md9YF+i+fh0YEzOPbAWNSWfRERE+lhVJ/81o5iIiIh0Rs0U2uPLiRMzWwmYDcxMlVJZDgNJzdfPAoa4+2tmtjQwCjgzJdwGA9cS0+uGNnkeJZ5apOSTiIiIiIiISIWk/k43ApcQFTzT0/auKqecLw41aL7e499bSkBNdvdhaZsGpCwgNRwXERERERERqRB3vw0YAuwFjEv9jKhC4gl6NF+/sMk+DwBfBTYzs4lpmxJPC0iVTyIiIiIiIiIVlHodHQ0MIopTTgBmuPsTHT2wPtSs+XqD/bcDDgeG5tj7ql2UfBIRERERERGpqKpOoa1pvn6ou89q4TFZNl9vByWfRERERERERASo1hTamubrx2oYSt9RzycRERERERGRCjOzfqWbMzt2IG3m7lOAocBhwDmpGoq0LK9/J48tN6p8EhEREREREZHKMrOtiel/dwA3u/vVpftUBbUIKPkkIiIiIiIiIpVWxebr7aTkk4iIiIiIiIhUXlWbr7eDkk8iIiIiIiIiIjWq1Hy9r6nhuIiIiIiIiIgI1W2+3tdU+SQiIiIiIiIiIn1GlU8iIiIiIiIiItJnlHwSEREREREREZE+o+STiIiIiIiIiIj0mQGdPgARERGRTjGzqcDA0qa5wAzgfmCUu/+tA4fVxcwuA/ZpcPcH3P2fLTx+gLvvtYgPTURERKRlSj6JiIhI1X0LuCr9vT+wPnAR8GNg204dVMn1wKg6219s4bGHL+JjEREREZlvSj6JiIhI1b3q7tNLt6eZ2X8CV5jZsu7+SqcOLJldc3wtewccu4iIiIiSTyIiIiJ1/Cv9+baZrQuMAwYDiwEPAwe5++Nm9jngCuC/gP8ElgBuBQ5091kAZjY83b8qMAHoB7i7n5zuPxA4Dvgg8AhwpLs/1OqBmtl+wDHAWsCrwLXAN939rfKyOzM7GdgEWBr4BLCHu98+f2ERERERmX9qOC4iIiJSYmbrEMmi24GZwM3AM0TCZitiad4ZpYesDOwOfAHYH9gN2Dc912DgUuBMIvEzM+1b/Ld2Bk4BjgQ2Bm4Dfmlmq7Z4rIOBC4ATgXWAbwD7Abs2eMjOxDK+rYFftfLfEBEREVlYqnwSERGRqjvPzM5Ofx8AzAFuAo4A3g/8D3CBu78OXU28Tyg9fgBwhLs/BjxqZrcDmwEXAocA17n7hemxBwNDSo89BjjN3W9Kt081s+2BEURSCmB3Mxtac8z7uPv1wCzgAHe/IW1/xsy+BWzQ4N/6oruf1zwcIiIiIouWkk8iIiJSdaOJpWpLAd8lpt+d6O4vApjZBcDeZrYpsC5RwVTb7Psvpb+/SizPA9gIGF/ckZbCPVzadz1gjJmdUtr2XuDvpds/B75d89+bnp7vt2Y2y8xGEwmnDYkKqLsb/FunNtguIiIi0meUfBIREZGqe8HdnwIws92Bh4AJZvYpIhH0EPAS0a/paiIBdVzNc8ypud0v/flW6e+190Gci30LuLNmn9fLfy+Or5aZDSGqtH5CLBMcTSzDa2R2k/tERERE+oSSTyIiIiKJu88xsxHAZOAo4HHgI8BG7v4mgJntQO+EUiOPA58sbphZf6J31JTiPwl8pJxcMrMLgfuAa1p4/pHAj939oPTYAUTj8YktHp+IiIhIn1PySURERKTE3R8ys/HAScCORN+nXc3s18D2wCjgjRaf7jzgPjO7l0gojQLWAOam+88CfmRmfwIeAPYimpZf3OLzvwhsaWYbAW8DxxNT9d7b4uNFRERE+pym3YmIiIj0dgLwJpEsGg2cCzxKTJI7BFjRzFaf15O4+6S0/3eAR4DliClzc9L9PyWW8H2XqJIaBgx190daPM6TgeeBScBd6XnPJybniYiIiLwj9Js7d+689xIRERGR+WZmmwOvuLuXtj0OnOHul3XswERERETaSMvuRERERPrOlsBhZrY3UaG0B9FD6vaOHpWIiIhIGyn5JCIiItJ3zgfWBG4AliWW3u3k7tM7eVAiIiIi7aRldyIiIiIiIiIi0mfUcFxERERERERERPqMkk8iIiIiIiIiItJnlHwSEREREREREZE+o+STiIiIiIiIiIj0GSWfRERERERERESkzyj5JCIiIiIiIiIifeb/AR/EZs5RB4ZwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1800x1080 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "titanic_data[\"RangeFair\"] = pd.qcut(titanic_data['Fare'], 16)\n",
    "\n",
    "sns.barplot(x=\"RangeFair\", y=\"Survived\", data = titanic_data)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\"Зависимость выживаемости от цены билета\")\n",
    "plt.figure(figsize=(25,15))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0afc37f9",
   "metadata": {},
   "source": [
    "По этому графику видно, что с увеличением цены билета увеличивается и шанс пассажира на выживание"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c593f532",
   "metadata": {},
   "source": [
    "# Зависимость выживаемости пассажира от порта отправления"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4442a6e",
   "metadata": {},
   "source": [
    "Проверим, есть ли какая-то заметная корреляция порта отправления и выживания"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "86f82ba5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x23459fc7c40>"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2880x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1145.58x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(40, 10))\n",
    "sns.catplot(x ='Embarked', hue ='Survived',kind ='count', col ='Pclass', data = titanic_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceb7a728",
   "metadata": {},
   "source": [
    "* Бошльшинство людей с билетами 3 класса отправлялись из Q\n"
   ]
  }
 ],
 "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}